{
    "apiVersion": "1.0.0",
    "service": "spiralist-ai-psyops-source-resolution",
    "release": "v100.0.66-behavioral-likelihood-character-runtime-integration-wip",
    "generatedAtUtc": "2026-08-05T04:38:07Z",
    "filters": {
        "status": null,
        "category": null,
        "type": null,
        "q": null,
        "limit": 50,
        "offset": 0
    },
    "facets": {
        "statuses": [
            "checked",
            "pending"
        ],
        "categories": [
            "ai-assisted-traditional-psyops",
            "ai-generated-propaganda",
            "personalized-influence",
            "autonomous-influence-agents",
            "synthetic-persona-operations",
            "disinformation-swarms",
            "algorithmic-perception-control",
            "emotional-behavioral-manipulation",
            "conversational-entrapment",
            "deepfake-psyops",
            "predictive-population-management",
            "psychological-authority"
        ],
        "sourceTypes": [
            "official-or-institutional",
            "research",
            "secondary-or-technical"
        ]
    },
    "counts": {
        "selectedSources": 91,
        "independentlyCheckedSources": 30,
        "pendingIndependentChecks": 61,
        "matchingSources": 91,
        "returnedSources": 50
    },
    "pagination": {
        "total": 91,
        "offset": 0,
        "limit": 50,
        "returned": 50,
        "hasNext": true,
        "hasPrevious": false,
        "links": {
            "self": "/api/v1/research/ai-psyops/sources/?offset=0&limit=50",
            "next": "/api/v1/research/ai-psyops/sources/?offset=50&limit=50",
            "previous": null
        }
    },
    "sources": [
        {
            "authorityTier": "research-publication-or-preprint",
            "canonicalTitle": "[2403.14380] On the Conversational Persuasiveness of Large Language Models: A Randomized Controlled Trial - arXiv",
            "categorySlugs": [
                "ai-assisted-traditional-psyops"
            ],
            "claimIds": [
                "AIP-01-0001",
                "AIP-01-0002",
                "AIP-01-0003",
                "AIP-01-0004",
                "AIP-01-0005",
                "AIP-01-0006",
                "AIP-01-0007",
                "AIP-01-0008",
                "AIP-01-0009",
                "AIP-01-0010",
                "AIP-01-0011",
                "AIP-01-0012",
                "AIP-01-0013",
                "AIP-01-0014",
                "AIP-01-0015",
                "AIP-01-0016",
                "AIP-01-0017",
                "AIP-01-0018",
                "AIP-01-0019",
                "AIP-01-0022",
                "AIP-01-0023",
                "AIP-01-0024",
                "AIP-01-0025",
                "AIP-01-0026",
                "AIP-01-0027",
                "AIP-01-0028",
                "AIP-01-0029",
                "AIP-01-0030",
                "AIP-01-0031",
                "AIP-01-0032",
                "AIP-01-0033",
                "AIP-01-0034",
                "AIP-01-0035",
                "AIP-01-0036",
                "AIP-01-0037",
                "AIP-01-0038",
                "AIP-01-0039",
                "AIP-01-0040",
                "AIP-01-0041"
            ],
            "corroboratingUrls": [
                "https://doi.org/10.1038/s41562-025-02194-6"
            ],
            "currentFactRecheckRequired": true,
            "humanReviewed": false,
            "id": "ai-assisted-traditional-psyops-s2",
            "independentlyReverified": true,
            "limitations": [
                "Controlled, short-horizon setting with 820 unique participants.",
                "The result does not establish durable real-world behavior change or operational effectiveness."
            ],
            "originalUrl": "https://arxiv.org/abs/2403.14380",
            "publicationDate": null,
            "publicationDateStatus": "unresolved",
            "publisherOrVenue": "arXiv",
            "reportNumber": 2,
            "resolutionStatus": "independently-checked",
            "resolvedUrl": "https://arxiv.org/abs/2403.14380",
            "retrievalStatus": "reachable",
            "reviewerState": "pending",
            "sourceType": "research",
            "stableIdentifier": {
                "type": "arxiv",
                "value": "2403.14380"
            },
            "supports": [
                "The source describes a preregistered, bounded multi-round persuasion experiment.",
                "The 81.7 percent result applies to odds of increased agreement in the stated experimental condition, not population-level mind control."
            ]
        },
        {
            "authorityTier": "research-source",
            "canonicalTitle": "A Rule Book on the Shelf? Tallinn Manual 2.0 on Cyberoperations and Subsequent State Practice | American Journal of International Law | Cambridge Core",
            "categorySlugs": [
                "ai-assisted-traditional-psyops"
            ],
            "claimIds": [
                "AIP-01-0001",
                "AIP-01-0002",
                "AIP-01-0003",
                "AIP-01-0004",
                "AIP-01-0005",
                "AIP-01-0006",
                "AIP-01-0007",
                "AIP-01-0008",
                "AIP-01-0009",
                "AIP-01-0010",
                "AIP-01-0011",
                "AIP-01-0012",
                "AIP-01-0013",
                "AIP-01-0014",
                "AIP-01-0015",
                "AIP-01-0016",
                "AIP-01-0017",
                "AIP-01-0018",
                "AIP-01-0019",
                "AIP-01-0022",
                "AIP-01-0023",
                "AIP-01-0024",
                "AIP-01-0025",
                "AIP-01-0026",
                "AIP-01-0027",
                "AIP-01-0028",
                "AIP-01-0029",
                "AIP-01-0030",
                "AIP-01-0031",
                "AIP-01-0032",
                "AIP-01-0033",
                "AIP-01-0034",
                "AIP-01-0035",
                "AIP-01-0036",
                "AIP-01-0037",
                "AIP-01-0038",
                "AIP-01-0039",
                "AIP-01-0040",
                "AIP-01-0041"
            ],
            "corroboratingUrls": [],
            "currentFactRecheckRequired": true,
            "humanReviewed": false,
            "id": "ai-assisted-traditional-psyops-s30",
            "independentlyReverified": false,
            "limitations": [
                "This selected reference has not received an independent source-scope review in this release."
            ],
            "originalUrl": "https://www.cambridge.org/core/journals/american-journal-of-international-law/article/rule-book-on-the-shelf-tallinn-manual-20-on-cyberoperations-and-subsequent-state-practice/54FBA2B30081B53353B5D2F06F778C14",
            "publicationDate": null,
            "publicationDateStatus": "unresolved",
            "publisherOrVenue": "cambridge.org",
            "reportNumber": 30,
            "resolutionStatus": "metadata-inherited-resolution-pending",
            "resolvedUrl": "https://www.cambridge.org/core/journals/american-journal-of-international-law/article/rule-book-on-the-shelf-tallinn-manual-20-on-cyberoperations-and-subsequent-state-practice/54FBA2B30081B53353B5D2F06F778C14",
            "retrievalStatus": "not-independently-retrieved",
            "reviewerState": "pending",
            "sourceType": "research",
            "stableIdentifier": {
                "type": "url",
                "value": "https://www.cambridge.org/core/journals/american-journal-of-international-law/article/rule-book-on-the-shelf-tallinn-manual-20-on-cyberoperations-and-subsequent-state-practice/54FBA2B30081B53353B5D2F06F778C14"
            },
            "supports": []
        },
        {
            "authorityTier": "official-government-technical-report",
            "canonicalTitle": "Germany Targeted by the Pro-Russian Disinformation Campaign “Doppelgänger”",
            "categorySlugs": [
                "ai-assisted-traditional-psyops"
            ],
            "claimIds": [
                "AIP-01-0001",
                "AIP-01-0002",
                "AIP-01-0003",
                "AIP-01-0004",
                "AIP-01-0005",
                "AIP-01-0006",
                "AIP-01-0007",
                "AIP-01-0008",
                "AIP-01-0009",
                "AIP-01-0010",
                "AIP-01-0011",
                "AIP-01-0012",
                "AIP-01-0013",
                "AIP-01-0014",
                "AIP-01-0015",
                "AIP-01-0016",
                "AIP-01-0017",
                "AIP-01-0018",
                "AIP-01-0019",
                "AIP-01-0021",
                "AIP-01-0022",
                "AIP-01-0023",
                "AIP-01-0024",
                "AIP-01-0025",
                "AIP-01-0026",
                "AIP-01-0027",
                "AIP-01-0028",
                "AIP-01-0029",
                "AIP-01-0030",
                "AIP-01-0031",
                "AIP-01-0032",
                "AIP-01-0033",
                "AIP-01-0034",
                "AIP-01-0035",
                "AIP-01-0036",
                "AIP-01-0037",
                "AIP-01-0038",
                "AIP-01-0039",
                "AIP-01-0040",
                "AIP-01-0041"
            ],
            "corroboratingUrls": [],
            "currentFactRecheckRequired": true,
            "humanReviewed": false,
            "id": "ai-assisted-traditional-psyops-s5",
            "independentlyReverified": true,
            "limitations": [
                "A government technical report reflects the collecting institution's visibility and attribution methodology.",
                "Operational reach and content volume are not evidence of attitude or behavior change."
            ],
            "originalUrl": "https://www.auswaertiges-amt.de/resource/blob/2682484/2da31936d1cbeb9faec49df74d8bbe2e/technischer-bericht-desinformationskampagne-doppelgaenger-1--data.pdf",
            "publicationDate": null,
            "publicationDateStatus": "unresolved",
            "publisherOrVenue": "German Federal Foreign Office",
            "reportNumber": 5,
            "resolutionStatus": "independently-checked",
            "resolvedUrl": "https://www.auswaertiges-amt.de/resource/blob/2682484/2da31936d1cbeb9faec49df74d8bbe2e/technischer-bericht-desinformationskampagne-doppelgaenger-1--data.pdf",
            "retrievalStatus": "official-technical-report-retrieved",
            "reviewerState": "pending",
            "sourceType": "official-or-institutional",
            "stableIdentifier": {
                "type": "url",
                "value": "https://www.auswaertiges-amt.de/resource/blob/2682484/2da31936d1cbeb9faec49df74d8bbe2e/technischer-bericht-desinformationskampagne-doppelgaenger-1--data.pdf"
            },
            "supports": [
                "The German Foreign Office report documents technical indicators associated with the Doppelgänger campaign and supports a bounded claim that the operation used coordinated deceptive infrastructure.",
                "The source supports campaign-attribution and infrastructure claims within the report's stated scope; it does not establish durable persuasion effects."
            ]
        },
        {
            "authorityTier": "official-or-institutional-source",
            "canonicalTitle": "Disrupting deceptive uses of AI by covert influence operations - OpenAI",
            "categorySlugs": [
                "ai-assisted-traditional-psyops"
            ],
            "claimIds": [
                "AIP-01-0001",
                "AIP-01-0002",
                "AIP-01-0003",
                "AIP-01-0004",
                "AIP-01-0005",
                "AIP-01-0006",
                "AIP-01-0007",
                "AIP-01-0008",
                "AIP-01-0009",
                "AIP-01-0010",
                "AIP-01-0011",
                "AIP-01-0012",
                "AIP-01-0013",
                "AIP-01-0014",
                "AIP-01-0015",
                "AIP-01-0016",
                "AIP-01-0017",
                "AIP-01-0018",
                "AIP-01-0019",
                "AIP-01-0020",
                "AIP-01-0022",
                "AIP-01-0023",
                "AIP-01-0024",
                "AIP-01-0025",
                "AIP-01-0026",
                "AIP-01-0027",
                "AIP-01-0028",
                "AIP-01-0029",
                "AIP-01-0030",
                "AIP-01-0031",
                "AIP-01-0032",
                "AIP-01-0033",
                "AIP-01-0034",
                "AIP-01-0035",
                "AIP-01-0036",
                "AIP-01-0037",
                "AIP-01-0038",
                "AIP-01-0039",
                "AIP-01-0040",
                "AIP-01-0041"
            ],
            "corroboratingUrls": [],
            "currentFactRecheckRequired": true,
            "humanReviewed": false,
            "id": "ai-assisted-traditional-psyops-s6",
            "independentlyReverified": true,
            "limitations": [
                "Provider-authored threat reporting covers activity visible to that provider.",
                "No claim is made that all campaign activity or downstream effects were observed."
            ],
            "originalUrl": "https://openai.com/index/disrupting-deceptive-uses-of-ai-by-covert-influence-operations/",
            "publicationDate": null,
            "publicationDateStatus": "unresolved",
            "publisherOrVenue": "OpenAI",
            "reportNumber": 6,
            "resolutionStatus": "independently-checked",
            "resolvedUrl": "https://openai.com/index/disrupting-deceptive-uses-of-ai-by-covert-influence-operations/",
            "retrievalStatus": "reachable",
            "reviewerState": "pending",
            "sourceType": "official-or-institutional",
            "stableIdentifier": {
                "type": "url",
                "value": "https://openai.com/index/disrupting-deceptive-uses-of-ai-by-covert-influence-operations/"
            },
            "supports": [
                "OpenAI reported disrupting five covert influence operations that used its models for content, translation, research, and code assistance.",
                "The same report stated that those operations did not appear to gain meaningful authentic reach or engagement from the service."
            ]
        },
        {
            "authorityTier": "secondary-or-technical",
            "canonicalTitle": "What Lies Ahead for Generative AI Watermarking",
            "categorySlugs": [
                "ai-assisted-traditional-psyops"
            ],
            "claimIds": [
                "AIP-01-0001",
                "AIP-01-0002",
                "AIP-01-0003",
                "AIP-01-0004",
                "AIP-01-0005",
                "AIP-01-0006",
                "AIP-01-0007",
                "AIP-01-0008",
                "AIP-01-0009",
                "AIP-01-0010",
                "AIP-01-0011",
                "AIP-01-0012",
                "AIP-01-0013",
                "AIP-01-0014",
                "AIP-01-0015",
                "AIP-01-0016",
                "AIP-01-0017",
                "AIP-01-0018",
                "AIP-01-0019",
                "AIP-01-0022",
                "AIP-01-0023",
                "AIP-01-0024",
                "AIP-01-0025",
                "AIP-01-0026",
                "AIP-01-0027",
                "AIP-01-0028",
                "AIP-01-0029",
                "AIP-01-0030",
                "AIP-01-0031",
                "AIP-01-0032",
                "AIP-01-0033",
                "AIP-01-0034",
                "AIP-01-0035",
                "AIP-01-0036",
                "AIP-01-0037",
                "AIP-01-0038",
                "AIP-01-0039",
                "AIP-01-0040",
                "AIP-01-0041"
            ],
            "corroboratingUrls": [],
            "currentFactRecheckRequired": true,
            "humanReviewed": false,
            "id": "ai-assisted-traditional-psyops-s8",
            "independentlyReverified": false,
            "limitations": [
                "This selected reference has not received an independent source-scope review in this release."
            ],
            "originalUrl": "https://blog.genlaw.org/pdfs/genlaw_icml2024/27.pdf",
            "publicationDate": null,
            "publicationDateStatus": "unresolved",
            "publisherOrVenue": "blog.genlaw.org",
            "reportNumber": 8,
            "resolutionStatus": "metadata-inherited-resolution-pending",
            "resolvedUrl": "https://blog.genlaw.org/pdfs/genlaw_icml2024/27.pdf",
            "retrievalStatus": "not-independently-retrieved",
            "reviewerState": "pending",
            "sourceType": "secondary-or-technical",
            "stableIdentifier": {
                "type": "url",
                "value": "https://blog.genlaw.org/pdfs/genlaw_icml2024/27.pdf"
            },
            "supports": []
        },
        {
            "authorityTier": "academic-policy-brief",
            "canonicalTitle": "How Persuasive Is AI-Generated Propaganda? - Stanford HAI",
            "categorySlugs": [
                "ai-generated-propaganda"
            ],
            "claimIds": [
                "AIP-02-0042",
                "AIP-02-0043",
                "AIP-02-0044",
                "AIP-02-0045",
                "AIP-02-0046",
                "AIP-02-0047",
                "AIP-02-0048",
                "AIP-02-0049",
                "AIP-02-0050",
                "AIP-02-0051",
                "AIP-02-0052",
                "AIP-02-0053",
                "AIP-02-0054",
                "AIP-02-0055",
                "AIP-02-0056",
                "AIP-02-0057",
                "AIP-02-0058",
                "AIP-02-0059",
                "AIP-02-0060",
                "AIP-02-0063",
                "AIP-02-0064",
                "AIP-02-0065",
                "AIP-02-0066",
                "AIP-02-0067",
                "AIP-02-0068",
                "AIP-02-0069",
                "AIP-02-0070",
                "AIP-02-0071",
                "AIP-02-0072",
                "AIP-02-0073",
                "AIP-02-0074",
                "AIP-02-0075",
                "AIP-02-0076",
                "AIP-02-0077",
                "AIP-02-0078",
                "AIP-02-0079",
                "AIP-02-0080",
                "AIP-02-0081",
                "AIP-02-0082"
            ],
            "corroboratingUrls": [],
            "currentFactRecheckRequired": true,
            "humanReviewed": false,
            "id": "ai-generated-propaganda-s2",
            "independentlyReverified": true,
            "limitations": [
                "A policy brief synthesizes underlying research and should be read with the cited studies.",
                "Experimental agreement shifts do not establish durable political behavior change."
            ],
            "originalUrl": "https://hai.stanford.edu/assets/files/2024-08/HAI-Policy-Brief-AI-Generated-Propaganda.pdf",
            "publicationDate": null,
            "publicationDateStatus": "unresolved",
            "publisherOrVenue": "Stanford Institute for Human-Centered AI",
            "reportNumber": 2,
            "resolutionStatus": "independently-checked",
            "resolvedUrl": "https://hai.stanford.edu/assets/files/2024-08/HAI-Policy-Brief-AI-Generated-Propaganda.pdf",
            "retrievalStatus": "research-policy-brief-retrieved",
            "reviewerState": "pending",
            "sourceType": "research",
            "stableIdentifier": {
                "type": "url",
                "value": "https://hai.stanford.edu/assets/files/2024-08/HAI-Policy-Brief-AI-Generated-Propaganda.pdf"
            },
            "supports": [
                "The policy brief summarizes controlled research on AI-generated propaganda and supports the claim that model-generated text can be persuasive under bounded experimental conditions.",
                "The source distinguishes technical capability from real-world campaign prevalence and impact."
            ]
        },
        {
            "authorityTier": "secondary-or-technical",
            "canonicalTitle": "Doppelganger: CORRECTIV investigations bring Russian propaganda campaign to a halt",
            "categorySlugs": [
                "ai-generated-propaganda"
            ],
            "claimIds": [
                "AIP-02-0042",
                "AIP-02-0043",
                "AIP-02-0044",
                "AIP-02-0045",
                "AIP-02-0046",
                "AIP-02-0047",
                "AIP-02-0048",
                "AIP-02-0049",
                "AIP-02-0050",
                "AIP-02-0051",
                "AIP-02-0052",
                "AIP-02-0053",
                "AIP-02-0054",
                "AIP-02-0055",
                "AIP-02-0056",
                "AIP-02-0057",
                "AIP-02-0058",
                "AIP-02-0059",
                "AIP-02-0060",
                "AIP-02-0063",
                "AIP-02-0064",
                "AIP-02-0065",
                "AIP-02-0066",
                "AIP-02-0067",
                "AIP-02-0068",
                "AIP-02-0069",
                "AIP-02-0070",
                "AIP-02-0071",
                "AIP-02-0072",
                "AIP-02-0073",
                "AIP-02-0074",
                "AIP-02-0075",
                "AIP-02-0076",
                "AIP-02-0077",
                "AIP-02-0078",
                "AIP-02-0079",
                "AIP-02-0080",
                "AIP-02-0081",
                "AIP-02-0082"
            ],
            "corroboratingUrls": [],
            "currentFactRecheckRequired": true,
            "humanReviewed": false,
            "id": "ai-generated-propaganda-s25",
            "independentlyReverified": false,
            "limitations": [
                "This selected reference has not received an independent source-scope review in this release."
            ],
            "originalUrl": "https://edmo.eu/publications/doppelganger-correctiv-investigations-bring-russian-propaganda-campaign-to-a-halt/",
            "publicationDate": null,
            "publicationDateStatus": "unresolved",
            "publisherOrVenue": "edmo.eu",
            "reportNumber": 25,
            "resolutionStatus": "metadata-inherited-resolution-pending",
            "resolvedUrl": "https://edmo.eu/publications/doppelganger-correctiv-investigations-bring-russian-propaganda-campaign-to-a-halt/",
            "retrievalStatus": "not-independently-retrieved",
            "reviewerState": "pending",
            "sourceType": "secondary-or-technical",
            "stableIdentifier": {
                "type": "url",
                "value": "https://edmo.eu/publications/doppelganger-correctiv-investigations-bring-russian-propaganda-campaign-to-a-halt/"
            },
            "supports": []
        },
        {
            "authorityTier": "secondary-or-technical",
            "canonicalTitle": "Liar's dividend - Wikipedia",
            "categorySlugs": [
                "ai-generated-propaganda"
            ],
            "claimIds": [
                "AIP-02-0042",
                "AIP-02-0043",
                "AIP-02-0044",
                "AIP-02-0045",
                "AIP-02-0046",
                "AIP-02-0047",
                "AIP-02-0048",
                "AIP-02-0049",
                "AIP-02-0050",
                "AIP-02-0051",
                "AIP-02-0052",
                "AIP-02-0053",
                "AIP-02-0054",
                "AIP-02-0055",
                "AIP-02-0056",
                "AIP-02-0057",
                "AIP-02-0058",
                "AIP-02-0059",
                "AIP-02-0060",
                "AIP-02-0063",
                "AIP-02-0064",
                "AIP-02-0065",
                "AIP-02-0066",
                "AIP-02-0067",
                "AIP-02-0068",
                "AIP-02-0069",
                "AIP-02-0070",
                "AIP-02-0071",
                "AIP-02-0072",
                "AIP-02-0073",
                "AIP-02-0074",
                "AIP-02-0075",
                "AIP-02-0076",
                "AIP-02-0077",
                "AIP-02-0078",
                "AIP-02-0079",
                "AIP-02-0080",
                "AIP-02-0081",
                "AIP-02-0082"
            ],
            "corroboratingUrls": [],
            "currentFactRecheckRequired": true,
            "humanReviewed": false,
            "id": "ai-generated-propaganda-s35",
            "independentlyReverified": false,
            "limitations": [
                "This selected reference has not received an independent source-scope review in this release."
            ],
            "originalUrl": "https://en.wikipedia.org/wiki/Liar%27s_dividend",
            "publicationDate": null,
            "publicationDateStatus": "unresolved",
            "publisherOrVenue": "en.wikipedia.org",
            "reportNumber": 35,
            "resolutionStatus": "metadata-inherited-resolution-pending",
            "resolvedUrl": "https://en.wikipedia.org/wiki/Liar%27s_dividend",
            "retrievalStatus": "not-independently-retrieved",
            "reviewerState": "pending",
            "sourceType": "secondary-or-technical",
            "stableIdentifier": {
                "type": "url",
                "value": "https://en.wikipedia.org/wiki/Liar%27s_dividend"
            },
            "supports": []
        },
        {
            "authorityTier": "secondary-or-technical-source",
            "canonicalTitle": "Political Consultant Fined for AI-Generated Biden Robocalls - OECD.AI",
            "categorySlugs": [
                "ai-generated-propaganda"
            ],
            "claimIds": [
                "AIP-02-0042",
                "AIP-02-0043",
                "AIP-02-0044",
                "AIP-02-0045",
                "AIP-02-0046",
                "AIP-02-0047",
                "AIP-02-0048",
                "AIP-02-0049",
                "AIP-02-0050",
                "AIP-02-0051",
                "AIP-02-0052",
                "AIP-02-0053",
                "AIP-02-0054",
                "AIP-02-0055",
                "AIP-02-0056",
                "AIP-02-0057",
                "AIP-02-0058",
                "AIP-02-0059",
                "AIP-02-0060",
                "AIP-02-0063",
                "AIP-02-0064",
                "AIP-02-0065",
                "AIP-02-0066",
                "AIP-02-0067",
                "AIP-02-0068",
                "AIP-02-0069",
                "AIP-02-0070",
                "AIP-02-0071",
                "AIP-02-0072",
                "AIP-02-0073",
                "AIP-02-0074",
                "AIP-02-0075",
                "AIP-02-0076",
                "AIP-02-0077",
                "AIP-02-0078",
                "AIP-02-0079",
                "AIP-02-0080",
                "AIP-02-0081",
                "AIP-02-0082"
            ],
            "corroboratingUrls": [
                "https://docs.fcc.gov/public/attachments/FCC-24-104A1.pdf",
                "https://docs.fcc.gov/public/attachments/DOC-405811A1.pdf"
            ],
            "currentFactRecheckRequired": true,
            "humanReviewed": false,
            "id": "ai-generated-propaganda-s37",
            "independentlyReverified": true,
            "limitations": [
                "The enforcement action establishes the conduct and penalty; it does not quantify how many voters changed behavior."
            ],
            "originalUrl": "https://oecd.ai/en/incidents/2024-09-26-aeb1",
            "publicationDate": null,
            "publicationDateStatus": "unresolved",
            "publisherOrVenue": "U.S. Federal Communications Commission",
            "reportNumber": 37,
            "resolutionStatus": "independently-checked",
            "resolvedUrl": "https://www.fcc.gov/document/fcc-issues-6m-fine-nh-robocalls",
            "retrievalStatus": "secondary-record-corroborated-by-official-source",
            "reviewerState": "pending",
            "sourceType": "secondary-or-technical",
            "stableIdentifier": {
                "type": "url",
                "value": "https://www.fcc.gov/document/fcc-issues-6m-fine-nh-robocalls"
            },
            "supports": [
                "The FCC imposed a 6 million dollar forfeiture against Steve Kramer for illegal New Hampshire robocalls using a deepfake AI voice message and caller-ID spoofing."
            ]
        },
        {
            "authorityTier": "secondary-or-technical",
            "canonicalTitle": "Group sues after novel Biden deepfake urged voters to skip N.H. primary",
            "categorySlugs": [
                "ai-generated-propaganda"
            ],
            "claimIds": [
                "AIP-02-0042",
                "AIP-02-0043",
                "AIP-02-0044",
                "AIP-02-0045",
                "AIP-02-0046",
                "AIP-02-0047",
                "AIP-02-0048",
                "AIP-02-0049",
                "AIP-02-0050",
                "AIP-02-0051",
                "AIP-02-0052",
                "AIP-02-0053",
                "AIP-02-0054",
                "AIP-02-0055",
                "AIP-02-0056",
                "AIP-02-0057",
                "AIP-02-0058",
                "AIP-02-0059",
                "AIP-02-0060",
                "AIP-02-0062",
                "AIP-02-0063",
                "AIP-02-0064",
                "AIP-02-0065",
                "AIP-02-0066",
                "AIP-02-0067",
                "AIP-02-0068",
                "AIP-02-0069",
                "AIP-02-0070",
                "AIP-02-0071",
                "AIP-02-0072",
                "AIP-02-0073",
                "AIP-02-0074",
                "AIP-02-0075",
                "AIP-02-0076",
                "AIP-02-0077",
                "AIP-02-0078",
                "AIP-02-0079",
                "AIP-02-0080",
                "AIP-02-0081",
                "AIP-02-0082"
            ],
            "corroboratingUrls": [],
            "currentFactRecheckRequired": true,
            "humanReviewed": false,
            "id": "ai-generated-propaganda-s41",
            "independentlyReverified": false,
            "limitations": [
                "This selected reference has not received an independent source-scope review in this release."
            ],
            "originalUrl": "https://www.lwv.org/newsroom/news-clips/group-sues-after-novel-biden-deepfake-urged-voters-skip-nh-primary",
            "publicationDate": null,
            "publicationDateStatus": "unresolved",
            "publisherOrVenue": "lwv.org",
            "reportNumber": 41,
            "resolutionStatus": "metadata-inherited-resolution-pending",
            "resolvedUrl": "https://www.lwv.org/newsroom/news-clips/group-sues-after-novel-biden-deepfake-urged-voters-skip-nh-primary",
            "retrievalStatus": "not-independently-retrieved",
            "reviewerState": "pending",
            "sourceType": "secondary-or-technical",
            "stableIdentifier": {
                "type": "url",
                "value": "https://www.lwv.org/newsroom/news-clips/group-sues-after-novel-biden-deepfake-urged-voters-skip-nh-primary"
            },
            "supports": []
        },
        {
            "authorityTier": "secondary-or-technical",
            "canonicalTitle": "Inside the CopyCop Playbook: How to Fight Back in the Age of Synthetic Media",
            "categorySlugs": [
                "ai-generated-propaganda"
            ],
            "claimIds": [
                "AIP-02-0042",
                "AIP-02-0043",
                "AIP-02-0044",
                "AIP-02-0045",
                "AIP-02-0046",
                "AIP-02-0047",
                "AIP-02-0048",
                "AIP-02-0049",
                "AIP-02-0050",
                "AIP-02-0051",
                "AIP-02-0052",
                "AIP-02-0053",
                "AIP-02-0054",
                "AIP-02-0055",
                "AIP-02-0056",
                "AIP-02-0057",
                "AIP-02-0058",
                "AIP-02-0059",
                "AIP-02-0060",
                "AIP-02-0061",
                "AIP-02-0063",
                "AIP-02-0064",
                "AIP-02-0065",
                "AIP-02-0066",
                "AIP-02-0067",
                "AIP-02-0068",
                "AIP-02-0069",
                "AIP-02-0070",
                "AIP-02-0071",
                "AIP-02-0072",
                "AIP-02-0073",
                "AIP-02-0074",
                "AIP-02-0075",
                "AIP-02-0076",
                "AIP-02-0077",
                "AIP-02-0078",
                "AIP-02-0079",
                "AIP-02-0080",
                "AIP-02-0081",
                "AIP-02-0082"
            ],
            "corroboratingUrls": [],
            "currentFactRecheckRequired": true,
            "humanReviewed": false,
            "id": "ai-generated-propaganda-s8",
            "independentlyReverified": false,
            "limitations": [
                "This selected reference has not received an independent source-scope review in this release."
            ],
            "originalUrl": "https://www.recordedfuture.com/blog/inside-the-copycop-playbook",
            "publicationDate": null,
            "publicationDateStatus": "unresolved",
            "publisherOrVenue": "Recorded Future",
            "reportNumber": 8,
            "resolutionStatus": "metadata-inherited-resolution-pending",
            "resolvedUrl": "https://www.recordedfuture.com/blog/inside-the-copycop-playbook",
            "retrievalStatus": "not-independently-retrieved",
            "reviewerState": "pending",
            "sourceType": "secondary-or-technical",
            "stableIdentifier": {
                "type": "url",
                "value": "https://www.recordedfuture.com/blog/inside-the-copycop-playbook"
            },
            "supports": []
        },
        {
            "authorityTier": "research-publication-or-preprint",
            "canonicalTitle": "How persuasive is AI-generated propaganda? | PNAS Nexus - Oxford Academic",
            "categorySlugs": [
                "ai-generated-propaganda"
            ],
            "claimIds": [
                "AIP-02-0042",
                "AIP-02-0043",
                "AIP-02-0044",
                "AIP-02-0045",
                "AIP-02-0046",
                "AIP-02-0047",
                "AIP-02-0048",
                "AIP-02-0049",
                "AIP-02-0050",
                "AIP-02-0051",
                "AIP-02-0052",
                "AIP-02-0053",
                "AIP-02-0054",
                "AIP-02-0055",
                "AIP-02-0056",
                "AIP-02-0057",
                "AIP-02-0058",
                "AIP-02-0059",
                "AIP-02-0060",
                "AIP-02-0061",
                "AIP-02-0063",
                "AIP-02-0064",
                "AIP-02-0065",
                "AIP-02-0066",
                "AIP-02-0067",
                "AIP-02-0068",
                "AIP-02-0069",
                "AIP-02-0070",
                "AIP-02-0071",
                "AIP-02-0072",
                "AIP-02-0073",
                "AIP-02-0074",
                "AIP-02-0075",
                "AIP-02-0076",
                "AIP-02-0077",
                "AIP-02-0078",
                "AIP-02-0079",
                "AIP-02-0080",
                "AIP-02-0081",
                "AIP-02-0082"
            ],
            "corroboratingUrls": [
                "https://hai.stanford.edu/assets/files/2024-08/HAI-Policy-Brief-AI-Generated-Propaganda.pdf"
            ],
            "currentFactRecheckRequired": true,
            "humanReviewed": false,
            "id": "ai-generated-propaganda-s9",
            "independentlyReverified": true,
            "limitations": [
                "Exposure to a study article is not equivalent to sustained, multi-platform influence.",
                "Measured agreement shifts do not by themselves establish durable behavior change."
            ],
            "originalUrl": "https://academic.oup.com/pnasnexus/article/3/2/pgae034/7610937",
            "publicationDate": null,
            "publicationDateStatus": "unresolved",
            "publisherOrVenue": "Oxford Academic",
            "reportNumber": 9,
            "resolutionStatus": "independently-checked",
            "resolvedUrl": "https://academic.oup.com/pnasnexus/article/3/2/pgae034/7610937",
            "retrievalStatus": "reachable",
            "reviewerState": "pending",
            "sourceType": "research",
            "stableIdentifier": {
                "type": "url",
                "value": "https://academic.oup.com/pnasnexus/article/3/2/pgae034/7610937"
            },
            "supports": [
                "The peer-reviewed study tests the persuasiveness of AI-generated propaganda under bounded survey-experiment conditions.",
                "The study supports capability claims, not prevalence or long-term campaign success claims."
            ]
        },
        {
            "authorityTier": "peer-reviewed-security-research",
            "canonicalTitle": "Ephemeral Astroturfing Attacks: The Case of Fake Twitter Trends - Rebekah Overdorf",
            "categorySlugs": [
                "algorithmic-perception-control"
            ],
            "claimIds": [
                "AIP-07-0250",
                "AIP-07-0251",
                "AIP-07-0252",
                "AIP-07-0253",
                "AIP-07-0254",
                "AIP-07-0255",
                "AIP-07-0256",
                "AIP-07-0257",
                "AIP-07-0258",
                "AIP-07-0259",
                "AIP-07-0260",
                "AIP-07-0261",
                "AIP-07-0262",
                "AIP-07-0263",
                "AIP-07-0264",
                "AIP-07-0265",
                "AIP-07-0266",
                "AIP-07-0267",
                "AIP-07-0268",
                "AIP-07-0269",
                "AIP-07-0271",
                "AIP-07-0272",
                "AIP-07-0273",
                "AIP-07-0274",
                "AIP-07-0275",
                "AIP-07-0276",
                "AIP-07-0277",
                "AIP-07-0278",
                "AIP-07-0279",
                "AIP-07-0280",
                "AIP-07-0281",
                "AIP-07-0282",
                "AIP-07-0283",
                "AIP-07-0284",
                "AIP-07-0285",
                "AIP-07-0286",
                "AIP-07-0287",
                "AIP-07-0288",
                "AIP-07-0289",
                "AIP-07-0290",
                "AIP-07-0291"
            ],
            "corroboratingUrls": [],
            "currentFactRecheckRequired": true,
            "humanReviewed": false,
            "id": "algorithmic-perception-control-s14",
            "independentlyReverified": true,
            "limitations": [
                "The observed platform and time period do not establish identical prevalence on other platforms or after later system changes.",
                "Detection thresholds and platform internals may change."
            ],
            "originalUrl": "https://overdorf.github.io/assets/papers/21EuroSP.pdf",
            "publicationDate": null,
            "publicationDateStatus": "unresolved",
            "publisherOrVenue": "Academic author-hosted paper",
            "reportNumber": 14,
            "resolutionStatus": "independently-checked",
            "resolvedUrl": "https://overdorf.github.io/assets/papers/21EuroSP.pdf",
            "retrievalStatus": "peer-reviewed-conference-paper-retrieved",
            "reviewerState": "pending",
            "sourceType": "secondary-or-technical",
            "stableIdentifier": {
                "type": "url",
                "value": "https://overdorf.github.io/assets/papers/21EuroSP.pdf"
            },
            "supports": [
                "The study documents ephemeral astroturfing as a manipulation of trending systems and supports a bounded claim about coordinated deletion and trend visibility."
            ]
        },
        {
            "authorityTier": "research-source",
            "canonicalTitle": "How do social media feed algorithms affect attitudes and behavior in an election campaign?",
            "categorySlugs": [
                "algorithmic-perception-control"
            ],
            "claimIds": [
                "AIP-07-0250",
                "AIP-07-0251",
                "AIP-07-0252",
                "AIP-07-0253",
                "AIP-07-0254",
                "AIP-07-0255",
                "AIP-07-0256",
                "AIP-07-0257",
                "AIP-07-0258",
                "AIP-07-0259",
                "AIP-07-0260",
                "AIP-07-0261",
                "AIP-07-0262",
                "AIP-07-0263",
                "AIP-07-0264",
                "AIP-07-0265",
                "AIP-07-0266",
                "AIP-07-0267",
                "AIP-07-0268",
                "AIP-07-0271",
                "AIP-07-0272",
                "AIP-07-0273",
                "AIP-07-0274",
                "AIP-07-0275",
                "AIP-07-0276",
                "AIP-07-0277",
                "AIP-07-0278",
                "AIP-07-0279",
                "AIP-07-0280",
                "AIP-07-0281",
                "AIP-07-0282",
                "AIP-07-0283",
                "AIP-07-0284",
                "AIP-07-0285",
                "AIP-07-0286",
                "AIP-07-0287",
                "AIP-07-0288",
                "AIP-07-0289",
                "AIP-07-0290",
                "AIP-07-0291"
            ],
            "corroboratingUrls": [],
            "currentFactRecheckRequired": true,
            "humanReviewed": false,
            "id": "algorithmic-perception-control-s2",
            "independentlyReverified": false,
            "limitations": [
                "This selected reference has not received an independent source-scope review in this release."
            ],
            "originalUrl": "https://cdr.lib.unc.edu/downloads/wp9891401",
            "publicationDate": null,
            "publicationDateStatus": "unresolved",
            "publisherOrVenue": "cdr.lib.unc.edu",
            "reportNumber": 2,
            "resolutionStatus": "metadata-inherited-resolution-pending",
            "resolvedUrl": "https://cdr.lib.unc.edu/downloads/wp9891401",
            "retrievalStatus": "not-independently-retrieved",
            "reviewerState": "pending",
            "sourceType": "research",
            "stableIdentifier": {
                "type": "url",
                "value": "https://cdr.lib.unc.edu/downloads/wp9891401"
            },
            "supports": []
        },
        {
            "authorityTier": "secondary-or-technical",
            "canonicalTitle": "STRIDE Threat Model - Simplified - Real Attack Examples (2026) - Practical DevSecOps",
            "categorySlugs": [
                "algorithmic-perception-control"
            ],
            "claimIds": [
                "AIP-07-0250",
                "AIP-07-0251",
                "AIP-07-0252",
                "AIP-07-0253",
                "AIP-07-0254",
                "AIP-07-0255",
                "AIP-07-0256",
                "AIP-07-0257",
                "AIP-07-0258",
                "AIP-07-0259",
                "AIP-07-0260",
                "AIP-07-0261",
                "AIP-07-0262",
                "AIP-07-0263",
                "AIP-07-0264",
                "AIP-07-0265",
                "AIP-07-0266",
                "AIP-07-0267",
                "AIP-07-0268",
                "AIP-07-0271",
                "AIP-07-0272",
                "AIP-07-0273",
                "AIP-07-0274",
                "AIP-07-0275",
                "AIP-07-0276",
                "AIP-07-0277",
                "AIP-07-0278",
                "AIP-07-0279",
                "AIP-07-0280",
                "AIP-07-0281",
                "AIP-07-0282",
                "AIP-07-0283",
                "AIP-07-0284",
                "AIP-07-0285",
                "AIP-07-0286",
                "AIP-07-0287",
                "AIP-07-0288",
                "AIP-07-0289",
                "AIP-07-0290",
                "AIP-07-0291"
            ],
            "corroboratingUrls": [],
            "currentFactRecheckRequired": true,
            "humanReviewed": false,
            "id": "algorithmic-perception-control-s21",
            "independentlyReverified": false,
            "limitations": [
                "This selected reference has not received an independent source-scope review in this release."
            ],
            "originalUrl": "https://www.practical-devsecops.com/what-is-stride-threat-model/",
            "publicationDate": null,
            "publicationDateStatus": "unresolved",
            "publisherOrVenue": "practical-devsecops.com",
            "reportNumber": 21,
            "resolutionStatus": "metadata-inherited-resolution-pending",
            "resolvedUrl": "https://www.practical-devsecops.com/what-is-stride-threat-model/",
            "retrievalStatus": "not-independently-retrieved",
            "reviewerState": "pending",
            "sourceType": "secondary-or-technical",
            "stableIdentifier": {
                "type": "url",
                "value": "https://www.practical-devsecops.com/what-is-stride-threat-model/"
            },
            "supports": []
        },
        {
            "authorityTier": "secondary-or-technical",
            "canonicalTitle": "How Social Media Algorithms Work in 2026: Full Guide - Digital Applied",
            "categorySlugs": [
                "algorithmic-perception-control"
            ],
            "claimIds": [
                "AIP-07-0250",
                "AIP-07-0251",
                "AIP-07-0252",
                "AIP-07-0253",
                "AIP-07-0254",
                "AIP-07-0255",
                "AIP-07-0256",
                "AIP-07-0257",
                "AIP-07-0258",
                "AIP-07-0259",
                "AIP-07-0260",
                "AIP-07-0261",
                "AIP-07-0262",
                "AIP-07-0263",
                "AIP-07-0264",
                "AIP-07-0265",
                "AIP-07-0266",
                "AIP-07-0267",
                "AIP-07-0268",
                "AIP-07-0270",
                "AIP-07-0271",
                "AIP-07-0272",
                "AIP-07-0273",
                "AIP-07-0274",
                "AIP-07-0275",
                "AIP-07-0276",
                "AIP-07-0277",
                "AIP-07-0278",
                "AIP-07-0279",
                "AIP-07-0280",
                "AIP-07-0281",
                "AIP-07-0282",
                "AIP-07-0283",
                "AIP-07-0284",
                "AIP-07-0285",
                "AIP-07-0286",
                "AIP-07-0287",
                "AIP-07-0288",
                "AIP-07-0289",
                "AIP-07-0290",
                "AIP-07-0291"
            ],
            "corroboratingUrls": [],
            "currentFactRecheckRequired": true,
            "humanReviewed": false,
            "id": "algorithmic-perception-control-s23",
            "independentlyReverified": false,
            "limitations": [
                "This selected reference has not received an independent source-scope review in this release."
            ],
            "originalUrl": "https://www.digitalapplied.com/blog/how-social-media-algorithms-work-2026",
            "publicationDate": null,
            "publicationDateStatus": "unresolved",
            "publisherOrVenue": "digitalapplied.com",
            "reportNumber": 23,
            "resolutionStatus": "metadata-inherited-resolution-pending",
            "resolvedUrl": "https://www.digitalapplied.com/blog/how-social-media-algorithms-work-2026",
            "retrievalStatus": "not-independently-retrieved",
            "reviewerState": "pending",
            "sourceType": "secondary-or-technical",
            "stableIdentifier": {
                "type": "url",
                "value": "https://www.digitalapplied.com/blog/how-social-media-algorithms-work-2026"
            },
            "supports": []
        },
        {
            "authorityTier": "secondary-or-technical",
            "canonicalTitle": "Interactions-HSG/SOAP: SOAP - A Sockpuppet Auditing Tool for Very Large Online Platforms - GitHub",
            "categorySlugs": [
                "algorithmic-perception-control"
            ],
            "claimIds": [
                "AIP-07-0250",
                "AIP-07-0251",
                "AIP-07-0252",
                "AIP-07-0253",
                "AIP-07-0254",
                "AIP-07-0255",
                "AIP-07-0256",
                "AIP-07-0257",
                "AIP-07-0258",
                "AIP-07-0259",
                "AIP-07-0260",
                "AIP-07-0261",
                "AIP-07-0262",
                "AIP-07-0263",
                "AIP-07-0264",
                "AIP-07-0265",
                "AIP-07-0266",
                "AIP-07-0267",
                "AIP-07-0268",
                "AIP-07-0271",
                "AIP-07-0272",
                "AIP-07-0273",
                "AIP-07-0274",
                "AIP-07-0275",
                "AIP-07-0276",
                "AIP-07-0277",
                "AIP-07-0278",
                "AIP-07-0279",
                "AIP-07-0280",
                "AIP-07-0281",
                "AIP-07-0282",
                "AIP-07-0283",
                "AIP-07-0284",
                "AIP-07-0285",
                "AIP-07-0286",
                "AIP-07-0287",
                "AIP-07-0288",
                "AIP-07-0289",
                "AIP-07-0290",
                "AIP-07-0291"
            ],
            "corroboratingUrls": [],
            "currentFactRecheckRequired": true,
            "humanReviewed": false,
            "id": "algorithmic-perception-control-s38",
            "independentlyReverified": false,
            "limitations": [
                "This selected reference has not received an independent source-scope review in this release."
            ],
            "originalUrl": "https://github.com/Interactions-HSG/SOAP",
            "publicationDate": null,
            "publicationDateStatus": "unresolved",
            "publisherOrVenue": "github.com",
            "reportNumber": 38,
            "resolutionStatus": "metadata-inherited-resolution-pending",
            "resolvedUrl": "https://github.com/Interactions-HSG/SOAP",
            "retrievalStatus": "not-independently-retrieved",
            "reviewerState": "pending",
            "sourceType": "secondary-or-technical",
            "stableIdentifier": {
                "type": "url",
                "value": "https://github.com/Interactions-HSG/SOAP"
            },
            "supports": []
        },
        {
            "authorityTier": "research-preprint",
            "canonicalTitle": "Auditing Meta and TikTok Research API Data Access under Article 40(12) of the Digital Services Act - arXiv",
            "categorySlugs": [
                "algorithmic-perception-control"
            ],
            "claimIds": [
                "AIP-07-0250",
                "AIP-07-0251",
                "AIP-07-0252",
                "AIP-07-0253",
                "AIP-07-0254",
                "AIP-07-0255",
                "AIP-07-0256",
                "AIP-07-0257",
                "AIP-07-0258",
                "AIP-07-0259",
                "AIP-07-0260",
                "AIP-07-0261",
                "AIP-07-0262",
                "AIP-07-0263",
                "AIP-07-0264",
                "AIP-07-0265",
                "AIP-07-0266",
                "AIP-07-0267",
                "AIP-07-0268",
                "AIP-07-0271",
                "AIP-07-0272",
                "AIP-07-0273",
                "AIP-07-0274",
                "AIP-07-0275",
                "AIP-07-0276",
                "AIP-07-0277",
                "AIP-07-0278",
                "AIP-07-0279",
                "AIP-07-0280",
                "AIP-07-0281",
                "AIP-07-0282",
                "AIP-07-0283",
                "AIP-07-0284",
                "AIP-07-0285",
                "AIP-07-0286",
                "AIP-07-0287",
                "AIP-07-0288",
                "AIP-07-0289",
                "AIP-07-0290",
                "AIP-07-0291"
            ],
            "corroboratingUrls": [],
            "currentFactRecheckRequired": true,
            "humanReviewed": false,
            "id": "algorithmic-perception-control-s44",
            "independentlyReverified": true,
            "limitations": [
                "The source is a preprint and its measurements are time- and interface-specific.",
                "The finding does not imply that every omission is intentional or unlawful."
            ],
            "originalUrl": "https://arxiv.org/html/2601.12390v1",
            "publicationDate": null,
            "publicationDateStatus": "unresolved",
            "publisherOrVenue": "arXiv",
            "reportNumber": 44,
            "resolutionStatus": "independently-checked",
            "resolvedUrl": "https://arxiv.org/abs/2601.12390",
            "retrievalStatus": "research-preprint-retrieved",
            "reviewerState": "pending",
            "sourceType": "research",
            "stableIdentifier": {
                "type": "arxiv",
                "value": "2601.12390"
            },
            "supports": [
                "The audit compares platform research interfaces with observed public data and supports a bounded claim that researcher-access interfaces can omit material needed for systemic auditing."
            ]
        },
        {
            "authorityTier": "research-source",
            "canonicalTitle": "Auditing Meta and TikTok Research API Data Access under Article 40(12) of the Digital Services Act - ResearchGate",
            "categorySlugs": [
                "algorithmic-perception-control"
            ],
            "claimIds": [
                "AIP-07-0250",
                "AIP-07-0251",
                "AIP-07-0252",
                "AIP-07-0253",
                "AIP-07-0254",
                "AIP-07-0255",
                "AIP-07-0256",
                "AIP-07-0257",
                "AIP-07-0258",
                "AIP-07-0259",
                "AIP-07-0260",
                "AIP-07-0261",
                "AIP-07-0262",
                "AIP-07-0263",
                "AIP-07-0264",
                "AIP-07-0265",
                "AIP-07-0266",
                "AIP-07-0267",
                "AIP-07-0268",
                "AIP-07-0271",
                "AIP-07-0272",
                "AIP-07-0273",
                "AIP-07-0274",
                "AIP-07-0275",
                "AIP-07-0276",
                "AIP-07-0277",
                "AIP-07-0278",
                "AIP-07-0279",
                "AIP-07-0280",
                "AIP-07-0281",
                "AIP-07-0282",
                "AIP-07-0283",
                "AIP-07-0284",
                "AIP-07-0285",
                "AIP-07-0286",
                "AIP-07-0287",
                "AIP-07-0288",
                "AIP-07-0289",
                "AIP-07-0290",
                "AIP-07-0291"
            ],
            "corroboratingUrls": [],
            "currentFactRecheckRequired": true,
            "humanReviewed": false,
            "id": "algorithmic-perception-control-s45",
            "independentlyReverified": false,
            "limitations": [
                "This selected reference has not received an independent source-scope review in this release."
            ],
            "originalUrl": "https://www.researchgate.net/publication/399930369_Auditing_Meta_and_TikTok_Research_API_Data_Access_under_Article_4012_of_the_Digital_Services_Act",
            "publicationDate": null,
            "publicationDateStatus": "unresolved",
            "publisherOrVenue": "researchgate.net",
            "reportNumber": 45,
            "resolutionStatus": "metadata-inherited-resolution-pending",
            "resolvedUrl": "https://www.researchgate.net/publication/399930369_Auditing_Meta_and_TikTok_Research_API_Data_Access_under_Article_4012_of_the_Digital_Services_Act",
            "retrievalStatus": "not-independently-retrieved",
            "reviewerState": "pending",
            "sourceType": "research",
            "stableIdentifier": {
                "type": "url",
                "value": "https://www.researchgate.net/publication/399930369_Auditing_Meta_and_TikTok_Research_API_Data_Access_under_Article_4012_of_the_Digital_Services_Act"
            },
            "supports": []
        },
        {
            "authorityTier": "secondary-or-technical",
            "canonicalTitle": "Understanding Social Media Recommendation Algorithms | Knight First Amendment Institute",
            "categorySlugs": [
                "algorithmic-perception-control"
            ],
            "claimIds": [
                "AIP-07-0250",
                "AIP-07-0251",
                "AIP-07-0252",
                "AIP-07-0253",
                "AIP-07-0254",
                "AIP-07-0255",
                "AIP-07-0256",
                "AIP-07-0257",
                "AIP-07-0258",
                "AIP-07-0259",
                "AIP-07-0260",
                "AIP-07-0261",
                "AIP-07-0262",
                "AIP-07-0263",
                "AIP-07-0264",
                "AIP-07-0265",
                "AIP-07-0266",
                "AIP-07-0267",
                "AIP-07-0268",
                "AIP-07-0271",
                "AIP-07-0272",
                "AIP-07-0273",
                "AIP-07-0274",
                "AIP-07-0275",
                "AIP-07-0276",
                "AIP-07-0277",
                "AIP-07-0278",
                "AIP-07-0279",
                "AIP-07-0280",
                "AIP-07-0281",
                "AIP-07-0282",
                "AIP-07-0283",
                "AIP-07-0284",
                "AIP-07-0285",
                "AIP-07-0286",
                "AIP-07-0287",
                "AIP-07-0288",
                "AIP-07-0289",
                "AIP-07-0290",
                "AIP-07-0291"
            ],
            "corroboratingUrls": [],
            "currentFactRecheckRequired": true,
            "humanReviewed": false,
            "id": "algorithmic-perception-control-s6",
            "independentlyReverified": false,
            "limitations": [
                "This selected reference has not received an independent source-scope review in this release."
            ],
            "originalUrl": "https://knightcolumbia.org/content/understanding-social-media-recommendation-algorithms",
            "publicationDate": null,
            "publicationDateStatus": "unresolved",
            "publisherOrVenue": "knightcolumbia.org",
            "reportNumber": 6,
            "resolutionStatus": "metadata-inherited-resolution-pending",
            "resolvedUrl": "https://knightcolumbia.org/content/understanding-social-media-recommendation-algorithms",
            "retrievalStatus": "not-independently-retrieved",
            "reviewerState": "pending",
            "sourceType": "secondary-or-technical",
            "stableIdentifier": {
                "type": "url",
                "value": "https://knightcolumbia.org/content/understanding-social-media-recommendation-algorithms"
            },
            "supports": []
        },
        {
            "authorityTier": "secondary-or-technical",
            "canonicalTitle": "Search engine manipulation effect - Wikipedia",
            "categorySlugs": [
                "algorithmic-perception-control"
            ],
            "claimIds": [
                "AIP-07-0250",
                "AIP-07-0251",
                "AIP-07-0252",
                "AIP-07-0253",
                "AIP-07-0254",
                "AIP-07-0255",
                "AIP-07-0256",
                "AIP-07-0257",
                "AIP-07-0258",
                "AIP-07-0259",
                "AIP-07-0260",
                "AIP-07-0261",
                "AIP-07-0262",
                "AIP-07-0263",
                "AIP-07-0264",
                "AIP-07-0265",
                "AIP-07-0266",
                "AIP-07-0267",
                "AIP-07-0268",
                "AIP-07-0271",
                "AIP-07-0272",
                "AIP-07-0273",
                "AIP-07-0274",
                "AIP-07-0275",
                "AIP-07-0276",
                "AIP-07-0277",
                "AIP-07-0278",
                "AIP-07-0279",
                "AIP-07-0280",
                "AIP-07-0281",
                "AIP-07-0282",
                "AIP-07-0283",
                "AIP-07-0284",
                "AIP-07-0285",
                "AIP-07-0286",
                "AIP-07-0287",
                "AIP-07-0288",
                "AIP-07-0289",
                "AIP-07-0290",
                "AIP-07-0291"
            ],
            "corroboratingUrls": [],
            "currentFactRecheckRequired": true,
            "humanReviewed": false,
            "id": "algorithmic-perception-control-s7",
            "independentlyReverified": false,
            "limitations": [
                "This selected reference has not received an independent source-scope review in this release."
            ],
            "originalUrl": "https://en.wikipedia.org/wiki/Search_engine_manipulation_effect",
            "publicationDate": null,
            "publicationDateStatus": "unresolved",
            "publisherOrVenue": "en.wikipedia.org",
            "reportNumber": 7,
            "resolutionStatus": "metadata-inherited-resolution-pending",
            "resolvedUrl": "https://en.wikipedia.org/wiki/Search_engine_manipulation_effect",
            "retrievalStatus": "not-independently-retrieved",
            "reviewerState": "pending",
            "sourceType": "secondary-or-technical",
            "stableIdentifier": {
                "type": "url",
                "value": "https://en.wikipedia.org/wiki/Search_engine_manipulation_effect"
            },
            "supports": []
        },
        {
            "authorityTier": "research-preprint",
            "canonicalTitle": "Governing Evolving Memory in LLM Agents: Risks, Mechanisms, and the Stability and Safety Governed Memory (SSGM) Framework - arXiv",
            "categorySlugs": [
                "autonomous-influence-agents"
            ],
            "claimIds": [
                "AIP-04-0125",
                "AIP-04-0126",
                "AIP-04-0127",
                "AIP-04-0128",
                "AIP-04-0129",
                "AIP-04-0130",
                "AIP-04-0131",
                "AIP-04-0132",
                "AIP-04-0133",
                "AIP-04-0134",
                "AIP-04-0135",
                "AIP-04-0136",
                "AIP-04-0137",
                "AIP-04-0138",
                "AIP-04-0139",
                "AIP-04-0140",
                "AIP-04-0141",
                "AIP-04-0142",
                "AIP-04-0143",
                "AIP-04-0146",
                "AIP-04-0147",
                "AIP-04-0148",
                "AIP-04-0149",
                "AIP-04-0150",
                "AIP-04-0151",
                "AIP-04-0152",
                "AIP-04-0153",
                "AIP-04-0154",
                "AIP-04-0155",
                "AIP-04-0156",
                "AIP-04-0157",
                "AIP-04-0158",
                "AIP-04-0159",
                "AIP-04-0160",
                "AIP-04-0161",
                "AIP-04-0162",
                "AIP-04-0163",
                "AIP-04-0164",
                "AIP-04-0165",
                "AIP-04-0166"
            ],
            "corroboratingUrls": [],
            "currentFactRecheckRequired": true,
            "humanReviewed": false,
            "id": "autonomous-influence-agents-s1",
            "independentlyReverified": true,
            "limitations": [
                "The proposed governance framework is not proof that long-horizon influence agents operate reliably in the wild.",
                "The source is a recent preprint and requires continuing review."
            ],
            "originalUrl": "https://arxiv.org/html/2603.11768v2",
            "publicationDate": null,
            "publicationDateStatus": "unresolved",
            "publisherOrVenue": "arXiv",
            "reportNumber": 1,
            "resolutionStatus": "independently-checked",
            "resolvedUrl": "https://arxiv.org/abs/2603.11768",
            "retrievalStatus": "research-preprint-retrieved",
            "reviewerState": "pending",
            "sourceType": "research",
            "stableIdentifier": {
                "type": "arxiv",
                "value": "2603.11768"
            },
            "supports": [
                "The paper surveys evolving-memory risks in LLM agents and supports claims about memory poisoning, semantic drift, stale information, and the need for governed memory controls."
            ]
        },
        {
            "authorityTier": "research-preprint",
            "canonicalTitle": "[2503.01829] Persuade Me if You Can: A Framework for Evaluating Persuasion Effectiveness and Susceptibility Among Large Language Models - arXiv",
            "categorySlugs": [
                "autonomous-influence-agents"
            ],
            "claimIds": [
                "AIP-04-0125",
                "AIP-04-0126",
                "AIP-04-0127",
                "AIP-04-0128",
                "AIP-04-0129",
                "AIP-04-0130",
                "AIP-04-0131",
                "AIP-04-0132",
                "AIP-04-0133",
                "AIP-04-0134",
                "AIP-04-0135",
                "AIP-04-0136",
                "AIP-04-0137",
                "AIP-04-0138",
                "AIP-04-0139",
                "AIP-04-0140",
                "AIP-04-0141",
                "AIP-04-0142",
                "AIP-04-0143",
                "AIP-04-0146",
                "AIP-04-0147",
                "AIP-04-0148",
                "AIP-04-0149",
                "AIP-04-0150",
                "AIP-04-0151",
                "AIP-04-0152",
                "AIP-04-0153",
                "AIP-04-0154",
                "AIP-04-0155",
                "AIP-04-0156",
                "AIP-04-0157",
                "AIP-04-0158",
                "AIP-04-0159",
                "AIP-04-0160",
                "AIP-04-0161",
                "AIP-04-0162",
                "AIP-04-0163",
                "AIP-04-0164",
                "AIP-04-0165",
                "AIP-04-0166"
            ],
            "corroboratingUrls": [],
            "currentFactRecheckRequired": true,
            "humanReviewed": false,
            "id": "autonomous-influence-agents-s13",
            "independentlyReverified": true,
            "limitations": [
                "Model-to-model evaluation is not equivalent to human persuasion or real-world operational success.",
                "Benchmark performance depends on prompts, models, and scoring assumptions."
            ],
            "originalUrl": "https://arxiv.org/abs/2503.01829",
            "publicationDate": null,
            "publicationDateStatus": "unresolved",
            "publisherOrVenue": "arXiv",
            "reportNumber": 13,
            "resolutionStatus": "independently-checked",
            "resolvedUrl": "https://arxiv.org/abs/2503.01829",
            "retrievalStatus": "research-preprint-retrieved",
            "reviewerState": "pending",
            "sourceType": "research",
            "stableIdentifier": {
                "type": "arxiv",
                "value": "2503.01829"
            },
            "supports": [
                "The PMIYC framework supports the bounded claim that persuasion and susceptibility can be evaluated in controlled multi-agent model interactions."
            ]
        },
        {
            "authorityTier": "research-preprint",
            "canonicalTitle": "[2504.10286] Characterizing LLM-driven Social Network: The Chirper.ai Case - arXiv",
            "categorySlugs": [
                "autonomous-influence-agents"
            ],
            "claimIds": [
                "AIP-04-0125",
                "AIP-04-0126",
                "AIP-04-0127",
                "AIP-04-0128",
                "AIP-04-0129",
                "AIP-04-0130",
                "AIP-04-0131",
                "AIP-04-0132",
                "AIP-04-0133",
                "AIP-04-0134",
                "AIP-04-0135",
                "AIP-04-0136",
                "AIP-04-0137",
                "AIP-04-0138",
                "AIP-04-0139",
                "AIP-04-0140",
                "AIP-04-0141",
                "AIP-04-0142",
                "AIP-04-0143",
                "AIP-04-0144",
                "AIP-04-0146",
                "AIP-04-0147",
                "AIP-04-0148",
                "AIP-04-0149",
                "AIP-04-0150",
                "AIP-04-0151",
                "AIP-04-0152",
                "AIP-04-0153",
                "AIP-04-0154",
                "AIP-04-0155",
                "AIP-04-0156",
                "AIP-04-0157",
                "AIP-04-0158",
                "AIP-04-0159",
                "AIP-04-0160",
                "AIP-04-0161",
                "AIP-04-0162",
                "AIP-04-0163",
                "AIP-04-0164",
                "AIP-04-0165",
                "AIP-04-0166"
            ],
            "corroboratingUrls": [],
            "currentFactRecheckRequired": true,
            "humanReviewed": false,
            "id": "autonomous-influence-agents-s22",
            "independentlyReverified": true,
            "limitations": [
                "A synthetic platform is not a demonstration of durable covert operation on adversarial commercial social networks.",
                "Platform-specific memory and orchestration contribute to the observed behavior."
            ],
            "originalUrl": "https://arxiv.org/abs/2504.10286",
            "publicationDate": null,
            "publicationDateStatus": "unresolved",
            "publisherOrVenue": "arXiv",
            "reportNumber": 22,
            "resolutionStatus": "independently-checked",
            "resolvedUrl": "https://arxiv.org/abs/2504.10286",
            "retrievalStatus": "research-preprint-retrieved",
            "reviewerState": "pending",
            "sourceType": "research",
            "stableIdentifier": {
                "type": "arxiv",
                "value": "2504.10286"
            },
            "supports": [
                "The Chirper.ai case supports the claim that large populations of LLM-driven accounts can produce persistent synthetic social interactions in a purpose-built environment."
            ]
        },
        {
            "authorityTier": "official-or-institutional",
            "canonicalTitle": "PRC-linked influence operations are targeting AI debates in the US | OpenAI",
            "categorySlugs": [
                "autonomous-influence-agents"
            ],
            "claimIds": [
                "AIP-04-0125",
                "AIP-04-0126",
                "AIP-04-0127",
                "AIP-04-0128",
                "AIP-04-0129",
                "AIP-04-0130",
                "AIP-04-0131",
                "AIP-04-0132",
                "AIP-04-0133",
                "AIP-04-0134",
                "AIP-04-0135",
                "AIP-04-0136",
                "AIP-04-0137",
                "AIP-04-0138",
                "AIP-04-0139",
                "AIP-04-0140",
                "AIP-04-0141",
                "AIP-04-0142",
                "AIP-04-0143",
                "AIP-04-0145",
                "AIP-04-0146",
                "AIP-04-0147",
                "AIP-04-0148",
                "AIP-04-0149",
                "AIP-04-0150",
                "AIP-04-0151",
                "AIP-04-0152",
                "AIP-04-0153",
                "AIP-04-0154",
                "AIP-04-0155",
                "AIP-04-0156",
                "AIP-04-0157",
                "AIP-04-0158",
                "AIP-04-0159",
                "AIP-04-0160",
                "AIP-04-0161",
                "AIP-04-0162",
                "AIP-04-0163",
                "AIP-04-0164",
                "AIP-04-0165",
                "AIP-04-0166"
            ],
            "corroboratingUrls": [],
            "currentFactRecheckRequired": true,
            "humanReviewed": false,
            "id": "autonomous-influence-agents-s23",
            "independentlyReverified": false,
            "limitations": [
                "This selected reference has not received an independent source-scope review in this release."
            ],
            "originalUrl": "https://openai.com/index/prc-linked-influence-operations-ai-debates/",
            "publicationDate": null,
            "publicationDateStatus": "unresolved",
            "publisherOrVenue": "OpenAI",
            "reportNumber": 23,
            "resolutionStatus": "metadata-inherited-resolution-pending",
            "resolvedUrl": "https://openai.com/index/prc-linked-influence-operations-ai-debates/",
            "retrievalStatus": "not-independently-retrieved",
            "reviewerState": "pending",
            "sourceType": "official-or-institutional",
            "stableIdentifier": {
                "type": "url",
                "value": "https://openai.com/index/prc-linked-influence-operations-ai-debates/"
            },
            "supports": []
        },
        {
            "authorityTier": "official-or-institutional",
            "canonicalTitle": "PRC-linked influence operations are targeting AI debates in the US - OpenAI",
            "categorySlugs": [
                "autonomous-influence-agents"
            ],
            "claimIds": [
                "AIP-04-0125",
                "AIP-04-0126",
                "AIP-04-0127",
                "AIP-04-0128",
                "AIP-04-0129",
                "AIP-04-0130",
                "AIP-04-0131",
                "AIP-04-0132",
                "AIP-04-0133",
                "AIP-04-0134",
                "AIP-04-0135",
                "AIP-04-0136",
                "AIP-04-0137",
                "AIP-04-0138",
                "AIP-04-0139",
                "AIP-04-0140",
                "AIP-04-0141",
                "AIP-04-0142",
                "AIP-04-0143",
                "AIP-04-0145",
                "AIP-04-0146",
                "AIP-04-0147",
                "AIP-04-0148",
                "AIP-04-0149",
                "AIP-04-0150",
                "AIP-04-0151",
                "AIP-04-0152",
                "AIP-04-0153",
                "AIP-04-0154",
                "AIP-04-0155",
                "AIP-04-0156",
                "AIP-04-0157",
                "AIP-04-0158",
                "AIP-04-0159",
                "AIP-04-0160",
                "AIP-04-0161",
                "AIP-04-0162",
                "AIP-04-0163",
                "AIP-04-0164",
                "AIP-04-0165",
                "AIP-04-0166"
            ],
            "corroboratingUrls": [],
            "currentFactRecheckRequired": true,
            "humanReviewed": false,
            "id": "autonomous-influence-agents-s24",
            "independentlyReverified": false,
            "limitations": [
                "This selected reference has not received an independent source-scope review in this release."
            ],
            "originalUrl": "https://cdn.openai.com/pdf/96b559fa-c165-4575-805d-e636909e2f78/June-2026-Threat-Report.pdf",
            "publicationDate": null,
            "publicationDateStatus": "unresolved",
            "publisherOrVenue": "cdn.openai.com",
            "reportNumber": 24,
            "resolutionStatus": "metadata-inherited-resolution-pending",
            "resolvedUrl": "https://cdn.openai.com/pdf/96b559fa-c165-4575-805d-e636909e2f78/June-2026-Threat-Report.pdf",
            "retrievalStatus": "not-independently-retrieved",
            "reviewerState": "pending",
            "sourceType": "official-or-institutional",
            "stableIdentifier": {
                "type": "url",
                "value": "https://cdn.openai.com/pdf/96b559fa-c165-4575-805d-e636909e2f78/June-2026-Threat-Report.pdf"
            },
            "supports": []
        },
        {
            "authorityTier": "secondary-or-technical",
            "canonicalTitle": "Evaluating AI Agent Persuasion of Safety Monitors - NeurIPS 2026",
            "categorySlugs": [
                "autonomous-influence-agents"
            ],
            "claimIds": [
                "AIP-04-0125",
                "AIP-04-0126",
                "AIP-04-0127",
                "AIP-04-0128",
                "AIP-04-0129",
                "AIP-04-0130",
                "AIP-04-0131",
                "AIP-04-0132",
                "AIP-04-0133",
                "AIP-04-0134",
                "AIP-04-0135",
                "AIP-04-0136",
                "AIP-04-0137",
                "AIP-04-0138",
                "AIP-04-0139",
                "AIP-04-0140",
                "AIP-04-0141",
                "AIP-04-0142",
                "AIP-04-0143",
                "AIP-04-0146",
                "AIP-04-0147",
                "AIP-04-0148",
                "AIP-04-0149",
                "AIP-04-0150",
                "AIP-04-0151",
                "AIP-04-0152",
                "AIP-04-0153",
                "AIP-04-0154",
                "AIP-04-0155",
                "AIP-04-0156",
                "AIP-04-0157",
                "AIP-04-0158",
                "AIP-04-0159",
                "AIP-04-0160",
                "AIP-04-0161",
                "AIP-04-0162",
                "AIP-04-0163",
                "AIP-04-0164",
                "AIP-04-0165",
                "AIP-04-0166"
            ],
            "corroboratingUrls": [],
            "currentFactRecheckRequired": true,
            "humanReviewed": false,
            "id": "autonomous-influence-agents-s27",
            "independentlyReverified": false,
            "limitations": [
                "This selected reference has not received an independent source-scope review in this release."
            ],
            "originalUrl": "https://neurips.cc/virtual/2025/133902",
            "publicationDate": null,
            "publicationDateStatus": "unresolved",
            "publisherOrVenue": "neurips.cc",
            "reportNumber": 27,
            "resolutionStatus": "metadata-inherited-resolution-pending",
            "resolvedUrl": "https://neurips.cc/virtual/2025/133902",
            "retrievalStatus": "not-independently-retrieved",
            "reviewerState": "pending",
            "sourceType": "secondary-or-technical",
            "stableIdentifier": {
                "type": "url",
                "value": "https://neurips.cc/virtual/2025/133902"
            },
            "supports": []
        },
        {
            "authorityTier": "secondary-or-technical",
            "canonicalTitle": "EU Commission Publishes Guidelines on the Prohibited AI Practices under the AI Act",
            "categorySlugs": [
                "autonomous-influence-agents"
            ],
            "claimIds": [
                "AIP-04-0125",
                "AIP-04-0126",
                "AIP-04-0127",
                "AIP-04-0128",
                "AIP-04-0129",
                "AIP-04-0130",
                "AIP-04-0131",
                "AIP-04-0132",
                "AIP-04-0133",
                "AIP-04-0134",
                "AIP-04-0135",
                "AIP-04-0136",
                "AIP-04-0137",
                "AIP-04-0138",
                "AIP-04-0139",
                "AIP-04-0140",
                "AIP-04-0141",
                "AIP-04-0142",
                "AIP-04-0143",
                "AIP-04-0146",
                "AIP-04-0147",
                "AIP-04-0148",
                "AIP-04-0149",
                "AIP-04-0150",
                "AIP-04-0151",
                "AIP-04-0152",
                "AIP-04-0153",
                "AIP-04-0154",
                "AIP-04-0155",
                "AIP-04-0156",
                "AIP-04-0157",
                "AIP-04-0158",
                "AIP-04-0159",
                "AIP-04-0160",
                "AIP-04-0161",
                "AIP-04-0162",
                "AIP-04-0163",
                "AIP-04-0164",
                "AIP-04-0165",
                "AIP-04-0166"
            ],
            "corroboratingUrls": [],
            "currentFactRecheckRequired": true,
            "humanReviewed": false,
            "id": "autonomous-influence-agents-s34",
            "independentlyReverified": false,
            "limitations": [
                "This selected reference has not received an independent source-scope review in this release."
            ],
            "originalUrl": "https://www.orrick.com/en/Insights/2025/04/EU-Commission-Publishes-Guidelines-on-the-Prohibited-AI-Practices-under-the-AI-Act",
            "publicationDate": null,
            "publicationDateStatus": "unresolved",
            "publisherOrVenue": "orrick.com",
            "reportNumber": 34,
            "resolutionStatus": "metadata-inherited-resolution-pending",
            "resolvedUrl": "https://www.orrick.com/en/Insights/2025/04/EU-Commission-Publishes-Guidelines-on-the-Prohibited-AI-Practices-under-the-AI-Act",
            "retrievalStatus": "not-independently-retrieved",
            "reviewerState": "pending",
            "sourceType": "secondary-or-technical",
            "stableIdentifier": {
                "type": "url",
                "value": "https://www.orrick.com/en/Insights/2025/04/EU-Commission-Publishes-Guidelines-on-the-Prohibited-AI-Practices-under-the-AI-Act"
            },
            "supports": []
        },
        {
            "authorityTier": "research-source",
            "canonicalTitle": "Persuading large language models to comply with objectionable requests - PNAS",
            "categorySlugs": [
                "autonomous-influence-agents"
            ],
            "claimIds": [
                "AIP-04-0125",
                "AIP-04-0126",
                "AIP-04-0127",
                "AIP-04-0128",
                "AIP-04-0129",
                "AIP-04-0130",
                "AIP-04-0131",
                "AIP-04-0132",
                "AIP-04-0133",
                "AIP-04-0134",
                "AIP-04-0135",
                "AIP-04-0136",
                "AIP-04-0137",
                "AIP-04-0138",
                "AIP-04-0139",
                "AIP-04-0140",
                "AIP-04-0141",
                "AIP-04-0142",
                "AIP-04-0143",
                "AIP-04-0146",
                "AIP-04-0147",
                "AIP-04-0148",
                "AIP-04-0149",
                "AIP-04-0150",
                "AIP-04-0151",
                "AIP-04-0152",
                "AIP-04-0153",
                "AIP-04-0154",
                "AIP-04-0155",
                "AIP-04-0156",
                "AIP-04-0157",
                "AIP-04-0158",
                "AIP-04-0159",
                "AIP-04-0160",
                "AIP-04-0161",
                "AIP-04-0162",
                "AIP-04-0163",
                "AIP-04-0164",
                "AIP-04-0165",
                "AIP-04-0166"
            ],
            "corroboratingUrls": [],
            "currentFactRecheckRequired": true,
            "humanReviewed": false,
            "id": "autonomous-influence-agents-s4",
            "independentlyReverified": false,
            "limitations": [
                "This selected reference has not received an independent source-scope review in this release."
            ],
            "originalUrl": "https://www.pnas.org/doi/10.1073/pnas.2535868123",
            "publicationDate": null,
            "publicationDateStatus": "unresolved",
            "publisherOrVenue": "Proceedings of the National Academy of Sciences",
            "reportNumber": 4,
            "resolutionStatus": "metadata-inherited-resolution-pending",
            "resolvedUrl": "https://www.pnas.org/doi/10.1073/pnas.2535868123",
            "retrievalStatus": "not-independently-retrieved",
            "reviewerState": "pending",
            "sourceType": "research",
            "stableIdentifier": {
                "type": "doi",
                "value": "10.1073/pnas.2535868123"
            },
            "supports": []
        },
        {
            "authorityTier": "academic-security-analysis",
            "canonicalTitle": "Will Generative AI Fundamentally Change Terrorist Threats? - Combating Terrorism Center at West Point",
            "categorySlugs": [
                "conversational-entrapment"
            ],
            "claimIds": [
                "AIP-09-0334",
                "AIP-09-0335",
                "AIP-09-0336",
                "AIP-09-0337",
                "AIP-09-0338",
                "AIP-09-0339",
                "AIP-09-0340",
                "AIP-09-0341",
                "AIP-09-0342",
                "AIP-09-0343",
                "AIP-09-0344",
                "AIP-09-0345",
                "AIP-09-0346",
                "AIP-09-0347",
                "AIP-09-0348",
                "AIP-09-0349",
                "AIP-09-0350",
                "AIP-09-0351",
                "AIP-09-0352",
                "AIP-09-0355",
                "AIP-09-0356",
                "AIP-09-0357",
                "AIP-09-0358",
                "AIP-09-0359",
                "AIP-09-0360",
                "AIP-09-0361",
                "AIP-09-0362",
                "AIP-09-0363",
                "AIP-09-0364",
                "AIP-09-0365",
                "AIP-09-0366",
                "AIP-09-0367",
                "AIP-09-0368",
                "AIP-09-0369",
                "AIP-09-0370",
                "AIP-09-0371",
                "AIP-09-0372",
                "AIP-09-0373",
                "AIP-09-0374",
                "AIP-09-0375"
            ],
            "corroboratingUrls": [],
            "currentFactRecheckRequired": true,
            "humanReviewed": false,
            "id": "conversational-entrapment-s1",
            "independentlyReverified": true,
            "limitations": [
                "The source is analytical and prospective; it should not be presented as proof of widespread autonomous AI recruitment."
            ],
            "originalUrl": "https://ctc.westpoint.edu/will-generative-ai-fundamentally-change-terrorist-threats/",
            "publicationDate": null,
            "publicationDateStatus": "unresolved",
            "publisherOrVenue": "Combating Terrorism Center at West Point",
            "reportNumber": 1,
            "resolutionStatus": "independently-checked",
            "resolvedUrl": "https://ctc.westpoint.edu/will-generative-ai-fundamentally-change-terrorist-threats/",
            "retrievalStatus": "academic-security-analysis-retrieved",
            "reviewerState": "pending",
            "sourceType": "research",
            "stableIdentifier": {
                "type": "url",
                "value": "https://ctc.westpoint.edu/will-generative-ai-fundamentally-change-terrorist-threats/"
            },
            "supports": [
                "The analysis supports a bounded claim that generative systems may lower content and translation costs for extremist actors while substantial organizational and operational constraints remain."
            ]
        },
        {
            "authorityTier": "secondary-or-technical",
            "canonicalTitle": "A man was encouraged by a chatbot to kill Queen Elizabeth II in 2021. He was sentenced to 9 years - Courthouse News",
            "categorySlugs": [
                "conversational-entrapment"
            ],
            "claimIds": [
                "AIP-09-0334",
                "AIP-09-0335",
                "AIP-09-0336",
                "AIP-09-0337",
                "AIP-09-0338",
                "AIP-09-0339",
                "AIP-09-0340",
                "AIP-09-0341",
                "AIP-09-0342",
                "AIP-09-0343",
                "AIP-09-0344",
                "AIP-09-0345",
                "AIP-09-0346",
                "AIP-09-0347",
                "AIP-09-0348",
                "AIP-09-0349",
                "AIP-09-0350",
                "AIP-09-0351",
                "AIP-09-0352",
                "AIP-09-0353",
                "AIP-09-0355",
                "AIP-09-0356",
                "AIP-09-0357",
                "AIP-09-0358",
                "AIP-09-0359",
                "AIP-09-0360",
                "AIP-09-0361",
                "AIP-09-0362",
                "AIP-09-0363",
                "AIP-09-0364",
                "AIP-09-0365",
                "AIP-09-0366",
                "AIP-09-0367",
                "AIP-09-0368",
                "AIP-09-0369",
                "AIP-09-0370",
                "AIP-09-0371",
                "AIP-09-0372",
                "AIP-09-0373",
                "AIP-09-0374",
                "AIP-09-0375"
            ],
            "corroboratingUrls": [],
            "currentFactRecheckRequired": true,
            "humanReviewed": false,
            "id": "conversational-entrapment-s34",
            "independentlyReverified": false,
            "limitations": [
                "This selected reference has not received an independent source-scope review in this release."
            ],
            "originalUrl": "https://www.courthousenews.com/a-man-was-encouraged-by-a-chatbot-to-kill-queen-elizabeth-ii-in-2021-he-was-sentenced-to-9-years/",
            "publicationDate": null,
            "publicationDateStatus": "unresolved",
            "publisherOrVenue": "courthousenews.com",
            "reportNumber": 34,
            "resolutionStatus": "metadata-inherited-resolution-pending",
            "resolvedUrl": "https://www.courthousenews.com/a-man-was-encouraged-by-a-chatbot-to-kill-queen-elizabeth-ii-in-2021-he-was-sentenced-to-9-years/",
            "retrievalStatus": "not-independently-retrieved",
            "reviewerState": "pending",
            "sourceType": "secondary-or-technical",
            "stableIdentifier": {
                "type": "url",
                "value": "https://www.courthousenews.com/a-man-was-encouraged-by-a-chatbot-to-kill-queen-elizabeth-ii-in-2021-he-was-sentenced-to-9-years/"
            },
            "supports": []
        },
        {
            "authorityTier": "secondary-or-technical",
            "canonicalTitle": "AI chatbot 'encouraged' man who planned to kill queen, court told | UK news | The Guardian",
            "categorySlugs": [
                "conversational-entrapment"
            ],
            "claimIds": [
                "AIP-09-0334",
                "AIP-09-0335",
                "AIP-09-0336",
                "AIP-09-0337",
                "AIP-09-0338",
                "AIP-09-0339",
                "AIP-09-0340",
                "AIP-09-0341",
                "AIP-09-0342",
                "AIP-09-0343",
                "AIP-09-0344",
                "AIP-09-0345",
                "AIP-09-0346",
                "AIP-09-0347",
                "AIP-09-0348",
                "AIP-09-0349",
                "AIP-09-0350",
                "AIP-09-0351",
                "AIP-09-0352",
                "AIP-09-0353",
                "AIP-09-0355",
                "AIP-09-0356",
                "AIP-09-0357",
                "AIP-09-0358",
                "AIP-09-0359",
                "AIP-09-0360",
                "AIP-09-0361",
                "AIP-09-0362",
                "AIP-09-0363",
                "AIP-09-0364",
                "AIP-09-0365",
                "AIP-09-0366",
                "AIP-09-0367",
                "AIP-09-0368",
                "AIP-09-0369",
                "AIP-09-0370",
                "AIP-09-0371",
                "AIP-09-0372",
                "AIP-09-0373",
                "AIP-09-0374",
                "AIP-09-0375"
            ],
            "corroboratingUrls": [],
            "currentFactRecheckRequired": true,
            "humanReviewed": false,
            "id": "conversational-entrapment-s35",
            "independentlyReverified": false,
            "limitations": [
                "This selected reference has not received an independent source-scope review in this release."
            ],
            "originalUrl": "https://www.theguardian.com/uk-news/2023/jul/06/ai-chatbot-encouraged-man-who-planned-to-kill-queen-court-told",
            "publicationDate": null,
            "publicationDateStatus": "unresolved",
            "publisherOrVenue": "theguardian.com",
            "reportNumber": 35,
            "resolutionStatus": "metadata-inherited-resolution-pending",
            "resolvedUrl": "https://www.theguardian.com/uk-news/2023/jul/06/ai-chatbot-encouraged-man-who-planned-to-kill-queen-court-told",
            "retrievalStatus": "not-independently-retrieved",
            "reviewerState": "pending",
            "sourceType": "secondary-or-technical",
            "stableIdentifier": {
                "type": "url",
                "value": "https://www.theguardian.com/uk-news/2023/jul/06/ai-chatbot-encouraged-man-who-planned-to-kill-queen-court-told"
            },
            "supports": []
        },
        {
            "authorityTier": "secondary-or-technical",
            "canonicalTitle": "Incident 826: Character.ai Chatbot Allegedly Influenced Teen User Toward Suicide Amid Claims of Missing Guardrails",
            "categorySlugs": [
                "conversational-entrapment"
            ],
            "claimIds": [
                "AIP-09-0334",
                "AIP-09-0335",
                "AIP-09-0336",
                "AIP-09-0337",
                "AIP-09-0338",
                "AIP-09-0339",
                "AIP-09-0340",
                "AIP-09-0341",
                "AIP-09-0342",
                "AIP-09-0343",
                "AIP-09-0344",
                "AIP-09-0345",
                "AIP-09-0346",
                "AIP-09-0347",
                "AIP-09-0348",
                "AIP-09-0349",
                "AIP-09-0350",
                "AIP-09-0351",
                "AIP-09-0352",
                "AIP-09-0354",
                "AIP-09-0355",
                "AIP-09-0356",
                "AIP-09-0357",
                "AIP-09-0358",
                "AIP-09-0359",
                "AIP-09-0360",
                "AIP-09-0361",
                "AIP-09-0362",
                "AIP-09-0363",
                "AIP-09-0364",
                "AIP-09-0365",
                "AIP-09-0366",
                "AIP-09-0367",
                "AIP-09-0368",
                "AIP-09-0369",
                "AIP-09-0370",
                "AIP-09-0371",
                "AIP-09-0372",
                "AIP-09-0373",
                "AIP-09-0374",
                "AIP-09-0375"
            ],
            "corroboratingUrls": [],
            "currentFactRecheckRequired": true,
            "humanReviewed": false,
            "id": "conversational-entrapment-s38",
            "independentlyReverified": false,
            "limitations": [
                "This selected reference has not received an independent source-scope review in this release."
            ],
            "originalUrl": "https://incidentdatabase.ai/cite/826/",
            "publicationDate": null,
            "publicationDateStatus": "unresolved",
            "publisherOrVenue": "incidentdatabase.ai",
            "reportNumber": 38,
            "resolutionStatus": "metadata-inherited-resolution-pending",
            "resolvedUrl": "https://incidentdatabase.ai/cite/826/",
            "retrievalStatus": "not-independently-retrieved",
            "reviewerState": "pending",
            "sourceType": "secondary-or-technical",
            "stableIdentifier": {
                "type": "url",
                "value": "https://incidentdatabase.ai/cite/826/"
            },
            "supports": []
        },
        {
            "authorityTier": "secondary-or-technical",
            "canonicalTitle": "Garcia v. Character Technologies, Google, and Character AI co-founders, Daniel de Frietas and Noam Shazeer - Tech Justice Law Project",
            "categorySlugs": [
                "conversational-entrapment"
            ],
            "claimIds": [
                "AIP-09-0334",
                "AIP-09-0335",
                "AIP-09-0336",
                "AIP-09-0337",
                "AIP-09-0338",
                "AIP-09-0339",
                "AIP-09-0340",
                "AIP-09-0341",
                "AIP-09-0342",
                "AIP-09-0343",
                "AIP-09-0344",
                "AIP-09-0345",
                "AIP-09-0346",
                "AIP-09-0347",
                "AIP-09-0348",
                "AIP-09-0349",
                "AIP-09-0350",
                "AIP-09-0351",
                "AIP-09-0352",
                "AIP-09-0354",
                "AIP-09-0355",
                "AIP-09-0356",
                "AIP-09-0357",
                "AIP-09-0358",
                "AIP-09-0359",
                "AIP-09-0360",
                "AIP-09-0361",
                "AIP-09-0362",
                "AIP-09-0363",
                "AIP-09-0364",
                "AIP-09-0365",
                "AIP-09-0366",
                "AIP-09-0367",
                "AIP-09-0368",
                "AIP-09-0369",
                "AIP-09-0370",
                "AIP-09-0371",
                "AIP-09-0372",
                "AIP-09-0373",
                "AIP-09-0374",
                "AIP-09-0375"
            ],
            "corroboratingUrls": [],
            "currentFactRecheckRequired": true,
            "humanReviewed": false,
            "id": "conversational-entrapment-s39",
            "independentlyReverified": false,
            "limitations": [
                "This selected reference has not received an independent source-scope review in this release."
            ],
            "originalUrl": "https://techjusticelaw.org/cases/garcia-v-character-technologies-google-and-character-ai-co-founders-daniel-de-frietas-and-noam-shazeer/",
            "publicationDate": null,
            "publicationDateStatus": "unresolved",
            "publisherOrVenue": "techjusticelaw.org",
            "reportNumber": 39,
            "resolutionStatus": "metadata-inherited-resolution-pending",
            "resolvedUrl": "https://techjusticelaw.org/cases/garcia-v-character-technologies-google-and-character-ai-co-founders-daniel-de-frietas-and-noam-shazeer/",
            "retrievalStatus": "not-independently-retrieved",
            "reviewerState": "pending",
            "sourceType": "secondary-or-technical",
            "stableIdentifier": {
                "type": "url",
                "value": "https://techjusticelaw.org/cases/garcia-v-character-technologies-google-and-character-ai-co-founders-daniel-de-frietas-and-noam-shazeer/"
            },
            "supports": []
        },
        {
            "authorityTier": "academic-policy-brief",
            "canonicalTitle": "Tech Brief: Text-Based Scams & AI | Institute for Technology Law & Policy",
            "categorySlugs": [
                "conversational-entrapment"
            ],
            "claimIds": [
                "AIP-09-0334",
                "AIP-09-0335",
                "AIP-09-0336",
                "AIP-09-0337",
                "AIP-09-0338",
                "AIP-09-0339",
                "AIP-09-0340",
                "AIP-09-0341",
                "AIP-09-0342",
                "AIP-09-0343",
                "AIP-09-0344",
                "AIP-09-0345",
                "AIP-09-0346",
                "AIP-09-0347",
                "AIP-09-0348",
                "AIP-09-0349",
                "AIP-09-0350",
                "AIP-09-0351",
                "AIP-09-0352",
                "AIP-09-0355",
                "AIP-09-0356",
                "AIP-09-0357",
                "AIP-09-0358",
                "AIP-09-0359",
                "AIP-09-0360",
                "AIP-09-0361",
                "AIP-09-0362",
                "AIP-09-0363",
                "AIP-09-0364",
                "AIP-09-0365",
                "AIP-09-0366",
                "AIP-09-0367",
                "AIP-09-0368",
                "AIP-09-0369",
                "AIP-09-0370",
                "AIP-09-0371",
                "AIP-09-0372",
                "AIP-09-0373",
                "AIP-09-0374",
                "AIP-09-0375"
            ],
            "corroboratingUrls": [],
            "currentFactRecheckRequired": true,
            "humanReviewed": false,
            "id": "conversational-entrapment-s4",
            "independentlyReverified": true,
            "limitations": [
                "The source does not establish that fully automated systems independently complete long-duration fraud relationships.",
                "Reported capability should be separated from measured prevalence and losses attributable specifically to AI."
            ],
            "originalUrl": "https://www.law.georgetown.edu/tech-institute/research-insights/insights/tech-brief-text-based-scams-ai/",
            "publicationDate": null,
            "publicationDateStatus": "unresolved",
            "publisherOrVenue": "Georgetown Law Institute for Technology Law & Policy",
            "reportNumber": 4,
            "resolutionStatus": "independently-checked",
            "resolvedUrl": "https://www.law.georgetown.edu/tech-institute/research-insights/insights/tech-brief-text-based-scams-ai/",
            "retrievalStatus": "academic-policy-brief-retrieved",
            "reviewerState": "pending",
            "sourceType": "research",
            "stableIdentifier": {
                "type": "url",
                "value": "https://www.law.georgetown.edu/tech-institute/research-insights/insights/tech-brief-text-based-scams-ai/"
            },
            "supports": [
                "The brief supports a bounded claim that generative AI can reduce linguistic friction and scale parts of text-based scam workflows."
            ]
        },
        {
            "authorityTier": "research-source",
            "canonicalTitle": "Conceptualizing “grooming” in child sexual abuse: A scoping review of Scandinavian and non-Scandinavian research",
            "categorySlugs": [
                "conversational-entrapment"
            ],
            "claimIds": [
                "AIP-09-0334",
                "AIP-09-0335",
                "AIP-09-0336",
                "AIP-09-0337",
                "AIP-09-0338",
                "AIP-09-0339",
                "AIP-09-0340",
                "AIP-09-0341",
                "AIP-09-0342",
                "AIP-09-0343",
                "AIP-09-0344",
                "AIP-09-0345",
                "AIP-09-0346",
                "AIP-09-0347",
                "AIP-09-0348",
                "AIP-09-0349",
                "AIP-09-0350",
                "AIP-09-0351",
                "AIP-09-0352",
                "AIP-09-0355",
                "AIP-09-0356",
                "AIP-09-0357",
                "AIP-09-0358",
                "AIP-09-0359",
                "AIP-09-0360",
                "AIP-09-0361",
                "AIP-09-0362",
                "AIP-09-0363",
                "AIP-09-0364",
                "AIP-09-0365",
                "AIP-09-0366",
                "AIP-09-0367",
                "AIP-09-0368",
                "AIP-09-0369",
                "AIP-09-0370",
                "AIP-09-0371",
                "AIP-09-0372",
                "AIP-09-0373",
                "AIP-09-0374",
                "AIP-09-0375"
            ],
            "corroboratingUrls": [],
            "currentFactRecheckRequired": true,
            "humanReviewed": false,
            "id": "conversational-entrapment-s6",
            "independentlyReverified": false,
            "limitations": [
                "This selected reference has not received an independent source-scope review in this release."
            ],
            "originalUrl": "https://www.scup.com/doi/10.18261/njc.26.2.7",
            "publicationDate": null,
            "publicationDateStatus": "unresolved",
            "publisherOrVenue": "scup.com",
            "reportNumber": 6,
            "resolutionStatus": "metadata-inherited-resolution-pending",
            "resolvedUrl": "https://www.scup.com/doi/10.18261/njc.26.2.7",
            "retrievalStatus": "not-independently-retrieved",
            "reviewerState": "pending",
            "sourceType": "research",
            "stableIdentifier": {
                "type": "doi",
                "value": "10.18261/njc.26.2.7"
            },
            "supports": []
        },
        {
            "authorityTier": "secondary-or-technical",
            "canonicalTitle": "MEMORIES Of THE fUTURE: SWEETIE AND THE IMPACT Of THE NEW TECHNOLOGIES ON THE CRIMINAL JUSTICE SySTEM",
            "categorySlugs": [
                "conversational-entrapment"
            ],
            "claimIds": [
                "AIP-09-0334",
                "AIP-09-0335",
                "AIP-09-0336",
                "AIP-09-0337",
                "AIP-09-0338",
                "AIP-09-0339",
                "AIP-09-0340",
                "AIP-09-0341",
                "AIP-09-0342",
                "AIP-09-0343",
                "AIP-09-0344",
                "AIP-09-0345",
                "AIP-09-0346",
                "AIP-09-0347",
                "AIP-09-0348",
                "AIP-09-0349",
                "AIP-09-0350",
                "AIP-09-0351",
                "AIP-09-0352",
                "AIP-09-0355",
                "AIP-09-0356",
                "AIP-09-0357",
                "AIP-09-0358",
                "AIP-09-0359",
                "AIP-09-0360",
                "AIP-09-0361",
                "AIP-09-0362",
                "AIP-09-0363",
                "AIP-09-0364",
                "AIP-09-0365",
                "AIP-09-0366",
                "AIP-09-0367",
                "AIP-09-0368",
                "AIP-09-0369",
                "AIP-09-0370",
                "AIP-09-0371",
                "AIP-09-0372",
                "AIP-09-0373",
                "AIP-09-0374",
                "AIP-09-0375"
            ],
            "corroboratingUrls": [],
            "currentFactRecheckRequired": true,
            "humanReviewed": false,
            "id": "conversational-entrapment-s8",
            "independentlyReverified": false,
            "limitations": [
                "This selected reference has not received an independent source-scope review in this release."
            ],
            "originalUrl": "https://ojs.srce.hr/index.php/eclic/article/download/11916/5894",
            "publicationDate": null,
            "publicationDateStatus": "unresolved",
            "publisherOrVenue": "ojs.srce.hr",
            "reportNumber": 8,
            "resolutionStatus": "metadata-inherited-resolution-pending",
            "resolvedUrl": "https://ojs.srce.hr/index.php/eclic/article/download/11916/5894",
            "retrievalStatus": "not-independently-retrieved",
            "reviewerState": "pending",
            "sourceType": "secondary-or-technical",
            "stableIdentifier": {
                "type": "url",
                "value": "https://ojs.srce.hr/index.php/eclic/article/download/11916/5894"
            },
            "supports": []
        },
        {
            "authorityTier": "research-source",
            "canonicalTitle": "Deepfake! A Liar's Dividend for Audiovisual Material - Ovid",
            "categorySlugs": [
                "deepfake-psyops"
            ],
            "claimIds": [
                "AIP-10-0376",
                "AIP-10-0377",
                "AIP-10-0378",
                "AIP-10-0379",
                "AIP-10-0380",
                "AIP-10-0381",
                "AIP-10-0382",
                "AIP-10-0383",
                "AIP-10-0384",
                "AIP-10-0385",
                "AIP-10-0386",
                "AIP-10-0387",
                "AIP-10-0388",
                "AIP-10-0389",
                "AIP-10-0390",
                "AIP-10-0391",
                "AIP-10-0392",
                "AIP-10-0393",
                "AIP-10-0394",
                "AIP-10-0397",
                "AIP-10-0398",
                "AIP-10-0399",
                "AIP-10-0400",
                "AIP-10-0401",
                "AIP-10-0402",
                "AIP-10-0403",
                "AIP-10-0404",
                "AIP-10-0405",
                "AIP-10-0406",
                "AIP-10-0407",
                "AIP-10-0408",
                "AIP-10-0409",
                "AIP-10-0410",
                "AIP-10-0411",
                "AIP-10-0412",
                "AIP-10-0413",
                "AIP-10-0414",
                "AIP-10-0415",
                "AIP-10-0416",
                "AIP-10-0417"
            ],
            "corroboratingUrls": [],
            "currentFactRecheckRequired": true,
            "humanReviewed": false,
            "id": "deepfake-psyops-s1",
            "independentlyReverified": false,
            "limitations": [
                "This selected reference has not received an independent source-scope review in this release."
            ],
            "originalUrl": "https://www.ovid.com/journals/popmed/pdf/10.1037/ppm0000665~deepfake-a-liars-dividend-for-audiovisual-material",
            "publicationDate": null,
            "publicationDateStatus": "unresolved",
            "publisherOrVenue": "ovid.com",
            "reportNumber": 1,
            "resolutionStatus": "metadata-inherited-resolution-pending",
            "resolvedUrl": "https://www.ovid.com/journals/popmed/pdf/10.1037/ppm0000665~deepfake-a-liars-dividend-for-audiovisual-material",
            "retrievalStatus": "not-independently-retrieved",
            "reviewerState": "pending",
            "sourceType": "research",
            "stableIdentifier": {
                "type": "url",
                "value": "https://www.ovid.com/journals/popmed/pdf/10.1037/ppm0000665~deepfake-a-liars-dividend-for-audiovisual-material"
            },
            "supports": []
        },
        {
            "authorityTier": "secondary-or-technical",
            "canonicalTitle": "Incident 573: Deepfake Recordings Allegedly Influence Slovakian Election",
            "categorySlugs": [
                "deepfake-psyops"
            ],
            "claimIds": [
                "AIP-10-0376",
                "AIP-10-0377",
                "AIP-10-0378",
                "AIP-10-0379",
                "AIP-10-0380",
                "AIP-10-0381",
                "AIP-10-0382",
                "AIP-10-0383",
                "AIP-10-0384",
                "AIP-10-0385",
                "AIP-10-0386",
                "AIP-10-0387",
                "AIP-10-0388",
                "AIP-10-0389",
                "AIP-10-0390",
                "AIP-10-0391",
                "AIP-10-0392",
                "AIP-10-0393",
                "AIP-10-0394",
                "AIP-10-0397",
                "AIP-10-0398",
                "AIP-10-0399",
                "AIP-10-0400",
                "AIP-10-0401",
                "AIP-10-0402",
                "AIP-10-0403",
                "AIP-10-0404",
                "AIP-10-0405",
                "AIP-10-0406",
                "AIP-10-0407",
                "AIP-10-0408",
                "AIP-10-0409",
                "AIP-10-0410",
                "AIP-10-0411",
                "AIP-10-0412",
                "AIP-10-0413",
                "AIP-10-0414",
                "AIP-10-0415",
                "AIP-10-0416",
                "AIP-10-0417"
            ],
            "corroboratingUrls": [],
            "currentFactRecheckRequired": true,
            "humanReviewed": false,
            "id": "deepfake-psyops-s13",
            "independentlyReverified": false,
            "limitations": [
                "This selected reference has not received an independent source-scope review in this release."
            ],
            "originalUrl": "https://incidentdatabase.ai/cite/573/",
            "publicationDate": null,
            "publicationDateStatus": "unresolved",
            "publisherOrVenue": "incidentdatabase.ai",
            "reportNumber": 13,
            "resolutionStatus": "metadata-inherited-resolution-pending",
            "resolvedUrl": "https://incidentdatabase.ai/cite/573/",
            "retrievalStatus": "not-independently-retrieved",
            "reviewerState": "pending",
            "sourceType": "secondary-or-technical",
            "stableIdentifier": {
                "type": "url",
                "value": "https://incidentdatabase.ai/cite/573/"
            },
            "supports": []
        },
        {
            "authorityTier": "secondary-or-technical",
            "canonicalTitle": "A Deep Dive Into the Pikesville, MD, Racist/Antisemitic Deepfake Audio - EDRM",
            "categorySlugs": [
                "deepfake-psyops"
            ],
            "claimIds": [
                "AIP-10-0376",
                "AIP-10-0377",
                "AIP-10-0378",
                "AIP-10-0379",
                "AIP-10-0380",
                "AIP-10-0381",
                "AIP-10-0382",
                "AIP-10-0383",
                "AIP-10-0384",
                "AIP-10-0385",
                "AIP-10-0386",
                "AIP-10-0387",
                "AIP-10-0388",
                "AIP-10-0389",
                "AIP-10-0390",
                "AIP-10-0391",
                "AIP-10-0392",
                "AIP-10-0393",
                "AIP-10-0394",
                "AIP-10-0397",
                "AIP-10-0398",
                "AIP-10-0399",
                "AIP-10-0400",
                "AIP-10-0401",
                "AIP-10-0402",
                "AIP-10-0403",
                "AIP-10-0404",
                "AIP-10-0405",
                "AIP-10-0406",
                "AIP-10-0407",
                "AIP-10-0408",
                "AIP-10-0409",
                "AIP-10-0410",
                "AIP-10-0411",
                "AIP-10-0412",
                "AIP-10-0413",
                "AIP-10-0414",
                "AIP-10-0415",
                "AIP-10-0416",
                "AIP-10-0417"
            ],
            "corroboratingUrls": [],
            "currentFactRecheckRequired": true,
            "humanReviewed": false,
            "id": "deepfake-psyops-s15",
            "independentlyReverified": false,
            "limitations": [
                "This selected reference has not received an independent source-scope review in this release."
            ],
            "originalUrl": "https://edrm.net/2026/07/a-deep-dive-into-the-pikesville-md-racist-antisemitic-deepfake-audio/",
            "publicationDate": null,
            "publicationDateStatus": "unresolved",
            "publisherOrVenue": "edrm.net",
            "reportNumber": 15,
            "resolutionStatus": "metadata-inherited-resolution-pending",
            "resolvedUrl": "https://edrm.net/2026/07/a-deep-dive-into-the-pikesville-md-racist-antisemitic-deepfake-audio/",
            "retrievalStatus": "not-independently-retrieved",
            "reviewerState": "pending",
            "sourceType": "secondary-or-technical",
            "stableIdentifier": {
                "type": "url",
                "value": "https://edrm.net/2026/07/a-deep-dive-into-the-pikesville-md-racist-antisemitic-deepfake-audio/"
            },
            "supports": []
        },
        {
            "authorityTier": "secondary-or-technical",
            "canonicalTitle": "Zelenskyy deepfake reflects new front in Ukraine conflict - Information Age | ACS",
            "categorySlugs": [
                "deepfake-psyops"
            ],
            "claimIds": [
                "AIP-10-0376",
                "AIP-10-0377",
                "AIP-10-0378",
                "AIP-10-0379",
                "AIP-10-0380",
                "AIP-10-0381",
                "AIP-10-0382",
                "AIP-10-0383",
                "AIP-10-0384",
                "AIP-10-0385",
                "AIP-10-0386",
                "AIP-10-0387",
                "AIP-10-0388",
                "AIP-10-0389",
                "AIP-10-0390",
                "AIP-10-0391",
                "AIP-10-0392",
                "AIP-10-0393",
                "AIP-10-0394",
                "AIP-10-0395",
                "AIP-10-0397",
                "AIP-10-0398",
                "AIP-10-0399",
                "AIP-10-0400",
                "AIP-10-0401",
                "AIP-10-0402",
                "AIP-10-0403",
                "AIP-10-0404",
                "AIP-10-0405",
                "AIP-10-0406",
                "AIP-10-0407",
                "AIP-10-0408",
                "AIP-10-0409",
                "AIP-10-0410",
                "AIP-10-0411",
                "AIP-10-0412",
                "AIP-10-0413",
                "AIP-10-0414",
                "AIP-10-0415",
                "AIP-10-0416",
                "AIP-10-0417"
            ],
            "corroboratingUrls": [],
            "currentFactRecheckRequired": true,
            "humanReviewed": false,
            "id": "deepfake-psyops-s27",
            "independentlyReverified": false,
            "limitations": [
                "This selected reference has not received an independent source-scope review in this release."
            ],
            "originalUrl": "https://ia.acs.org.au/article/2022/zelenskyy-deepfake-reflects-new-front-in-ukraine-conflict.html",
            "publicationDate": null,
            "publicationDateStatus": "unresolved",
            "publisherOrVenue": "ia.acs.org.au",
            "reportNumber": 27,
            "resolutionStatus": "metadata-inherited-resolution-pending",
            "resolvedUrl": "https://ia.acs.org.au/article/2022/zelenskyy-deepfake-reflects-new-front-in-ukraine-conflict.html",
            "retrievalStatus": "not-independently-retrieved",
            "reviewerState": "pending",
            "sourceType": "secondary-or-technical",
            "stableIdentifier": {
                "type": "url",
                "value": "https://ia.acs.org.au/article/2022/zelenskyy-deepfake-reflects-new-front-in-ukraine-conflict.html"
            },
            "supports": []
        },
        {
            "authorityTier": "official-or-institutional-source",
            "canonicalTitle": "Athletic Director Charged in Pikesville High School AI Case | Baltimore County Government",
            "categorySlugs": [
                "deepfake-psyops"
            ],
            "claimIds": [
                "AIP-10-0376",
                "AIP-10-0377",
                "AIP-10-0378",
                "AIP-10-0379",
                "AIP-10-0380",
                "AIP-10-0381",
                "AIP-10-0382",
                "AIP-10-0383",
                "AIP-10-0384",
                "AIP-10-0385",
                "AIP-10-0386",
                "AIP-10-0387",
                "AIP-10-0388",
                "AIP-10-0389",
                "AIP-10-0390",
                "AIP-10-0391",
                "AIP-10-0392",
                "AIP-10-0393",
                "AIP-10-0394",
                "AIP-10-0396",
                "AIP-10-0397",
                "AIP-10-0398",
                "AIP-10-0399",
                "AIP-10-0400",
                "AIP-10-0401",
                "AIP-10-0402",
                "AIP-10-0403",
                "AIP-10-0404",
                "AIP-10-0405",
                "AIP-10-0406",
                "AIP-10-0407",
                "AIP-10-0408",
                "AIP-10-0409",
                "AIP-10-0410",
                "AIP-10-0411",
                "AIP-10-0412",
                "AIP-10-0413",
                "AIP-10-0414",
                "AIP-10-0415",
                "AIP-10-0416",
                "AIP-10-0417"
            ],
            "corroboratingUrls": [],
            "currentFactRecheckRequired": true,
            "humanReviewed": false,
            "id": "deepfake-psyops-s30",
            "independentlyReverified": true,
            "limitations": [
                "A charging announcement is not a final adjudication of guilt."
            ],
            "originalUrl": "https://www.baltimorecountymd.gov/departments/police/news/athletic-director-charged-pikesville-high-school-ai-case",
            "publicationDate": null,
            "publicationDateStatus": "unresolved",
            "publisherOrVenue": "Baltimore County Government",
            "reportNumber": 30,
            "resolutionStatus": "independently-checked",
            "resolvedUrl": "https://www.baltimorecountymd.gov/departments/police/news/athletic-director-charged-pikesville-high-school-ai-case",
            "retrievalStatus": "reachable",
            "reviewerState": "pending",
            "sourceType": "official-or-institutional",
            "stableIdentifier": {
                "type": "url",
                "value": "https://www.baltimorecountymd.gov/departments/police/news/athletic-director-charged-pikesville-high-school-ai-case"
            },
            "supports": [
                "Baltimore County Police reported the arrest and charges associated with the Pikesville High School AI-generated audio case."
            ]
        },
        {
            "authorityTier": "research-publication-or-preprint",
            "canonicalTitle": "Verifying Provenance of Digital Media: Why the C2PA Specifications Fall Short - arXiv",
            "categorySlugs": [
                "deepfake-psyops"
            ],
            "claimIds": [
                "AIP-10-0376",
                "AIP-10-0377",
                "AIP-10-0378",
                "AIP-10-0379",
                "AIP-10-0380",
                "AIP-10-0381",
                "AIP-10-0382",
                "AIP-10-0383",
                "AIP-10-0384",
                "AIP-10-0385",
                "AIP-10-0386",
                "AIP-10-0387",
                "AIP-10-0388",
                "AIP-10-0389",
                "AIP-10-0390",
                "AIP-10-0391",
                "AIP-10-0392",
                "AIP-10-0393",
                "AIP-10-0394",
                "AIP-10-0397",
                "AIP-10-0398",
                "AIP-10-0399",
                "AIP-10-0400",
                "AIP-10-0401",
                "AIP-10-0402",
                "AIP-10-0403",
                "AIP-10-0404",
                "AIP-10-0405",
                "AIP-10-0406",
                "AIP-10-0407",
                "AIP-10-0408",
                "AIP-10-0409",
                "AIP-10-0410",
                "AIP-10-0411",
                "AIP-10-0412",
                "AIP-10-0413",
                "AIP-10-0414",
                "AIP-10-0415",
                "AIP-10-0416",
                "AIP-10-0417"
            ],
            "corroboratingUrls": [
                "https://spec.c2pa.org/specifications/specifications/2.4/explainer/Explainer.html",
                "https://spec.c2pa.org/specifications/specifications/2.4/specs/C2PA_Specification.html"
            ],
            "currentFactRecheckRequired": true,
            "humanReviewed": false,
            "id": "deepfake-psyops-s4",
            "independentlyReverified": true,
            "limitations": [
                "The critical paper is a preprint and should not be treated as settled consensus.",
                "The official standard and the critical analysis address different questions and should be presented together."
            ],
            "originalUrl": "https://arxiv.org/html/2604.24890v1",
            "publicationDate": null,
            "publicationDateStatus": "unresolved",
            "publisherOrVenue": "arXiv",
            "reportNumber": 4,
            "resolutionStatus": "independently-checked",
            "resolvedUrl": "https://arxiv.org/abs/2604.24890",
            "retrievalStatus": "reachable",
            "reviewerState": "pending",
            "sourceType": "research",
            "stableIdentifier": {
                "type": "arxiv",
                "value": "2604.24890"
            },
            "supports": [
                "The 2026 preprint presents an independent critical security analysis of C2PA.",
                "Current C2PA documentation itself states that credentials are not truth judgments, may be incomplete, and can be removed from an asset."
            ]
        },
        {
            "authorityTier": "research-preprint",
            "canonicalTitle": "Robustness Assessment and Enhancement of Text Watermarking for Google's SynthID",
            "categorySlugs": [
                "deepfake-psyops"
            ],
            "claimIds": [
                "AIP-10-0376",
                "AIP-10-0377",
                "AIP-10-0378",
                "AIP-10-0379",
                "AIP-10-0380",
                "AIP-10-0381",
                "AIP-10-0382",
                "AIP-10-0383",
                "AIP-10-0384",
                "AIP-10-0385",
                "AIP-10-0386",
                "AIP-10-0387",
                "AIP-10-0388",
                "AIP-10-0389",
                "AIP-10-0390",
                "AIP-10-0391",
                "AIP-10-0392",
                "AIP-10-0393",
                "AIP-10-0394",
                "AIP-10-0397",
                "AIP-10-0398",
                "AIP-10-0399",
                "AIP-10-0400",
                "AIP-10-0401",
                "AIP-10-0402",
                "AIP-10-0403",
                "AIP-10-0404",
                "AIP-10-0405",
                "AIP-10-0406",
                "AIP-10-0407",
                "AIP-10-0408",
                "AIP-10-0409",
                "AIP-10-0410",
                "AIP-10-0411",
                "AIP-10-0412",
                "AIP-10-0413",
                "AIP-10-0414",
                "AIP-10-0415",
                "AIP-10-0416",
                "AIP-10-0417"
            ],
            "corroboratingUrls": [],
            "currentFactRecheckRequired": true,
            "humanReviewed": false,
            "id": "deepfake-psyops-s5",
            "independentlyReverified": true,
            "limitations": [
                "The source is a preprint and addresses one watermarking approach rather than all provenance systems.",
                "Watermark removal or degradation does not prove malicious intent."
            ],
            "originalUrl": "https://arxiv.org/html/2508.20228v1",
            "publicationDate": null,
            "publicationDateStatus": "unresolved",
            "publisherOrVenue": "arXiv",
            "reportNumber": 5,
            "resolutionStatus": "independently-checked",
            "resolvedUrl": "https://arxiv.org/abs/2508.20228",
            "retrievalStatus": "research-preprint-retrieved",
            "reviewerState": "pending",
            "sourceType": "research",
            "stableIdentifier": {
                "type": "arxiv",
                "value": "2508.20228"
            },
            "supports": [
                "The paper evaluates robustness limits and enhancement methods for SynthID-style text watermarking, supporting the claim that watermark performance depends on transformations and evaluation conditions."
            ]
        },
        {
            "authorityTier": "secondary-or-technical",
            "canonicalTitle": "Using ZK Proofs to Fight Disinformation | by Dan Boneh - Medium",
            "categorySlugs": [
                "deepfake-psyops"
            ],
            "claimIds": [
                "AIP-10-0376",
                "AIP-10-0377",
                "AIP-10-0378",
                "AIP-10-0379",
                "AIP-10-0380",
                "AIP-10-0381",
                "AIP-10-0382",
                "AIP-10-0383",
                "AIP-10-0384",
                "AIP-10-0385",
                "AIP-10-0386",
                "AIP-10-0387",
                "AIP-10-0388",
                "AIP-10-0389",
                "AIP-10-0390",
                "AIP-10-0391",
                "AIP-10-0392",
                "AIP-10-0393",
                "AIP-10-0394",
                "AIP-10-0397",
                "AIP-10-0398",
                "AIP-10-0399",
                "AIP-10-0400",
                "AIP-10-0401",
                "AIP-10-0402",
                "AIP-10-0403",
                "AIP-10-0404",
                "AIP-10-0405",
                "AIP-10-0406",
                "AIP-10-0407",
                "AIP-10-0408",
                "AIP-10-0409",
                "AIP-10-0410",
                "AIP-10-0411",
                "AIP-10-0412",
                "AIP-10-0413",
                "AIP-10-0414",
                "AIP-10-0415",
                "AIP-10-0416",
                "AIP-10-0417"
            ],
            "corroboratingUrls": [],
            "currentFactRecheckRequired": true,
            "humanReviewed": false,
            "id": "deepfake-psyops-s6",
            "independentlyReverified": false,
            "limitations": [
                "This selected reference has not received an independent source-scope review in this release."
            ],
            "originalUrl": "https://medium.com/@boneh/using-zk-proofs-to-fight-disinformation-17e7d57fe52f",
            "publicationDate": null,
            "publicationDateStatus": "unresolved",
            "publisherOrVenue": "medium.com",
            "reportNumber": 6,
            "resolutionStatus": "metadata-inherited-resolution-pending",
            "resolvedUrl": "https://medium.com/@boneh/using-zk-proofs-to-fight-disinformation-17e7d57fe52f",
            "retrievalStatus": "not-independently-retrieved",
            "reviewerState": "pending",
            "sourceType": "secondary-or-technical",
            "stableIdentifier": {
                "type": "url",
                "value": "https://medium.com/@boneh/using-zk-proofs-to-fight-disinformation-17e7d57fe52f"
            },
            "supports": []
        },
        {
            "authorityTier": "research-source",
            "canonicalTitle": "Citation: Schroeder et al. How Malicious AI Swarms Can Threaten Democracy. 1-8…. DOI:000000/11111. Corresponding author: daniel.t.schroeder@sintef.no; †These authors contributed equally to this work; The authors are listed in alphabetical order by last name, starting from the third and ending with the second-to-last. - arXiv",
            "categorySlugs": [
                "disinformation-swarms"
            ],
            "claimIds": [
                "AIP-06-0209",
                "AIP-06-0210",
                "AIP-06-0211",
                "AIP-06-0212",
                "AIP-06-0213",
                "AIP-06-0214",
                "AIP-06-0215",
                "AIP-06-0216",
                "AIP-06-0217",
                "AIP-06-0218",
                "AIP-06-0219",
                "AIP-06-0220",
                "AIP-06-0221",
                "AIP-06-0222",
                "AIP-06-0223",
                "AIP-06-0224",
                "AIP-06-0225",
                "AIP-06-0226",
                "AIP-06-0227",
                "AIP-06-0230",
                "AIP-06-0231",
                "AIP-06-0232",
                "AIP-06-0233",
                "AIP-06-0234",
                "AIP-06-0235",
                "AIP-06-0236",
                "AIP-06-0237",
                "AIP-06-0238",
                "AIP-06-0239",
                "AIP-06-0240",
                "AIP-06-0241",
                "AIP-06-0242",
                "AIP-06-0243",
                "AIP-06-0244",
                "AIP-06-0245",
                "AIP-06-0246",
                "AIP-06-0247",
                "AIP-06-0248",
                "AIP-06-0249"
            ],
            "corroboratingUrls": [],
            "currentFactRecheckRequired": true,
            "humanReviewed": false,
            "id": "disinformation-swarms-s1",
            "independentlyReverified": false,
            "limitations": [
                "This selected reference has not received an independent source-scope review in this release."
            ],
            "originalUrl": "https://arxiv.org/html/2506.06299v1",
            "publicationDate": null,
            "publicationDateStatus": "unresolved",
            "publisherOrVenue": "arXiv",
            "reportNumber": 1,
            "resolutionStatus": "metadata-inherited-resolution-pending",
            "resolvedUrl": "https://arxiv.org/html/2506.06299v1",
            "retrievalStatus": "not-independently-retrieved",
            "reviewerState": "pending",
            "sourceType": "research",
            "stableIdentifier": {
                "type": "arxiv",
                "value": "2506.06299"
            },
            "supports": []
        },
        {
            "authorityTier": "secondary-or-technical",
            "canonicalTitle": "Russia-linked 'Doppelgänger' social media operation rolls on, report says",
            "categorySlugs": [
                "disinformation-swarms"
            ],
            "claimIds": [
                "AIP-06-0209",
                "AIP-06-0210",
                "AIP-06-0211",
                "AIP-06-0212",
                "AIP-06-0213",
                "AIP-06-0214",
                "AIP-06-0215",
                "AIP-06-0216",
                "AIP-06-0217",
                "AIP-06-0218",
                "AIP-06-0219",
                "AIP-06-0220",
                "AIP-06-0221",
                "AIP-06-0222",
                "AIP-06-0223",
                "AIP-06-0224",
                "AIP-06-0225",
                "AIP-06-0226",
                "AIP-06-0227",
                "AIP-06-0229",
                "AIP-06-0230",
                "AIP-06-0231",
                "AIP-06-0232",
                "AIP-06-0233",
                "AIP-06-0234",
                "AIP-06-0235",
                "AIP-06-0236",
                "AIP-06-0237",
                "AIP-06-0238",
                "AIP-06-0239",
                "AIP-06-0240",
                "AIP-06-0241",
                "AIP-06-0242",
                "AIP-06-0243",
                "AIP-06-0244",
                "AIP-06-0245",
                "AIP-06-0246",
                "AIP-06-0247",
                "AIP-06-0248",
                "AIP-06-0249"
            ],
            "corroboratingUrls": [],
            "currentFactRecheckRequired": true,
            "humanReviewed": false,
            "id": "disinformation-swarms-s11",
            "independentlyReverified": false,
            "limitations": [
                "This selected reference has not received an independent source-scope review in this release."
            ],
            "originalUrl": "https://therecord.media/doppelganger-influence-operation-new-activity",
            "publicationDate": null,
            "publicationDateStatus": "unresolved",
            "publisherOrVenue": "therecord.media",
            "reportNumber": 11,
            "resolutionStatus": "metadata-inherited-resolution-pending",
            "resolvedUrl": "https://therecord.media/doppelganger-influence-operation-new-activity",
            "retrievalStatus": "not-independently-retrieved",
            "reviewerState": "pending",
            "sourceType": "secondary-or-technical",
            "stableIdentifier": {
                "type": "url",
                "value": "https://therecord.media/doppelganger-influence-operation-new-activity"
            },
            "supports": []
        },
        {
            "authorityTier": "secondary-or-technical",
            "canonicalTitle": "Russia-Linked CopyCop Expands to Cover US Elections, Target Political Leaders",
            "categorySlugs": [
                "disinformation-swarms"
            ],
            "claimIds": [
                "AIP-06-0209",
                "AIP-06-0210",
                "AIP-06-0211",
                "AIP-06-0212",
                "AIP-06-0213",
                "AIP-06-0214",
                "AIP-06-0215",
                "AIP-06-0216",
                "AIP-06-0217",
                "AIP-06-0218",
                "AIP-06-0219",
                "AIP-06-0220",
                "AIP-06-0221",
                "AIP-06-0222",
                "AIP-06-0223",
                "AIP-06-0224",
                "AIP-06-0225",
                "AIP-06-0226",
                "AIP-06-0227",
                "AIP-06-0230",
                "AIP-06-0231",
                "AIP-06-0232",
                "AIP-06-0233",
                "AIP-06-0234",
                "AIP-06-0235",
                "AIP-06-0236",
                "AIP-06-0237",
                "AIP-06-0238",
                "AIP-06-0239",
                "AIP-06-0240",
                "AIP-06-0241",
                "AIP-06-0242",
                "AIP-06-0243",
                "AIP-06-0244",
                "AIP-06-0245",
                "AIP-06-0246",
                "AIP-06-0247",
                "AIP-06-0248",
                "AIP-06-0249"
            ],
            "corroboratingUrls": [],
            "currentFactRecheckRequired": true,
            "humanReviewed": false,
            "id": "disinformation-swarms-s12",
            "independentlyReverified": false,
            "limitations": [
                "This selected reference has not received an independent source-scope review in this release."
            ],
            "originalUrl": "https://www.recordedfuture.com/research/copycop-expands-to-cover-us-elections-target-political-leaders",
            "publicationDate": null,
            "publicationDateStatus": "unresolved",
            "publisherOrVenue": "Recorded Future",
            "reportNumber": 12,
            "resolutionStatus": "metadata-inherited-resolution-pending",
            "resolvedUrl": "https://www.recordedfuture.com/research/copycop-expands-to-cover-us-elections-target-political-leaders",
            "retrievalStatus": "not-independently-retrieved",
            "reviewerState": "pending",
            "sourceType": "secondary-or-technical",
            "stableIdentifier": {
                "type": "url",
                "value": "https://www.recordedfuture.com/research/copycop-expands-to-cover-us-elections-target-political-leaders"
            },
            "supports": []
        },
        {
            "authorityTier": "technical-threat-research",
            "canonicalTitle": "Russia-Linked CopyCop Uses LLMs to Weaponize Influence Content at Scale - Recorded Future",
            "categorySlugs": [
                "disinformation-swarms"
            ],
            "claimIds": [
                "AIP-06-0209",
                "AIP-06-0210",
                "AIP-06-0211",
                "AIP-06-0212",
                "AIP-06-0213",
                "AIP-06-0214",
                "AIP-06-0215",
                "AIP-06-0216",
                "AIP-06-0217",
                "AIP-06-0218",
                "AIP-06-0219",
                "AIP-06-0220",
                "AIP-06-0221",
                "AIP-06-0222",
                "AIP-06-0223",
                "AIP-06-0224",
                "AIP-06-0225",
                "AIP-06-0226",
                "AIP-06-0227",
                "AIP-06-0228",
                "AIP-06-0230",
                "AIP-06-0231",
                "AIP-06-0232",
                "AIP-06-0233",
                "AIP-06-0234",
                "AIP-06-0235",
                "AIP-06-0236",
                "AIP-06-0237",
                "AIP-06-0238",
                "AIP-06-0239",
                "AIP-06-0240",
                "AIP-06-0241",
                "AIP-06-0242",
                "AIP-06-0243",
                "AIP-06-0244",
                "AIP-06-0245",
                "AIP-06-0246",
                "AIP-06-0247",
                "AIP-06-0248",
                "AIP-06-0249"
            ],
            "corroboratingUrls": [],
            "currentFactRecheckRequired": true,
            "humanReviewed": false,
            "id": "disinformation-swarms-s14",
            "independentlyReverified": true,
            "limitations": [
                "Attribution and infrastructure observations do not independently prove persuasive effect.",
                "The report captures a time-bounded view of an evolving operation."
            ],
            "originalUrl": "https://assets.recordedfuture.com/insikt-report-pdfs/2024/cta-2024-0509.pdf",
            "publicationDate": null,
            "publicationDateStatus": "unresolved",
            "publisherOrVenue": "Recorded Future",
            "reportNumber": 14,
            "resolutionStatus": "independently-checked",
            "resolvedUrl": "https://assets.recordedfuture.com/insikt-report-pdfs/2024/cta-2024-0509.pdf",
            "retrievalStatus": "technical-threat-report-retrieved",
            "reviewerState": "pending",
            "sourceType": "secondary-or-technical",
            "stableIdentifier": {
                "type": "url",
                "value": "https://assets.recordedfuture.com/insikt-report-pdfs/2024/cta-2024-0509.pdf"
            },
            "supports": [
                "The report documents CopyCop infrastructure and observed use of language models to rewrite and scale influence content."
            ]
        },
        {
            "authorityTier": "secondary-or-technical",
            "canonicalTitle": "CopyCop Deepens Its Playbook with New Websites and Targets - Recorded Future",
            "categorySlugs": [
                "disinformation-swarms"
            ],
            "claimIds": [
                "AIP-06-0209",
                "AIP-06-0210",
                "AIP-06-0211",
                "AIP-06-0212",
                "AIP-06-0213",
                "AIP-06-0214",
                "AIP-06-0215",
                "AIP-06-0216",
                "AIP-06-0217",
                "AIP-06-0218",
                "AIP-06-0219",
                "AIP-06-0220",
                "AIP-06-0221",
                "AIP-06-0222",
                "AIP-06-0223",
                "AIP-06-0224",
                "AIP-06-0225",
                "AIP-06-0226",
                "AIP-06-0227",
                "AIP-06-0228",
                "AIP-06-0230",
                "AIP-06-0231",
                "AIP-06-0232",
                "AIP-06-0233",
                "AIP-06-0234",
                "AIP-06-0235",
                "AIP-06-0236",
                "AIP-06-0237",
                "AIP-06-0238",
                "AIP-06-0239",
                "AIP-06-0240",
                "AIP-06-0241",
                "AIP-06-0242",
                "AIP-06-0243",
                "AIP-06-0244",
                "AIP-06-0245",
                "AIP-06-0246",
                "AIP-06-0247",
                "AIP-06-0248",
                "AIP-06-0249"
            ],
            "corroboratingUrls": [],
            "currentFactRecheckRequired": true,
            "humanReviewed": false,
            "id": "disinformation-swarms-s15",
            "independentlyReverified": false,
            "limitations": [
                "This selected reference has not received an independent source-scope review in this release."
            ],
            "originalUrl": "https://www.recordedfuture.com/research/copycop-deepens-its-playbook-with-new-websites-and-targets",
            "publicationDate": null,
            "publicationDateStatus": "unresolved",
            "publisherOrVenue": "Recorded Future",
            "reportNumber": 15,
            "resolutionStatus": "metadata-inherited-resolution-pending",
            "resolvedUrl": "https://www.recordedfuture.com/research/copycop-deepens-its-playbook-with-new-websites-and-targets",
            "retrievalStatus": "not-independently-retrieved",
            "reviewerState": "pending",
            "sourceType": "secondary-or-technical",
            "stableIdentifier": {
                "type": "url",
                "value": "https://www.recordedfuture.com/research/copycop-deepens-its-playbook-with-new-websites-and-targets"
            },
            "supports": []
        }
    ],
    "reviewBoundary": {
        "allSelectedSourcesHaveResolutionRecords": true,
        "allSelectedSourcesIndependentlyReverified": false,
        "humanEditorialReviewPerformed": false,
        "publicationAcceptanceClaimed": false,
        "signatureVerified": false,
        "researchIndependentlyReverified": false
    },
    "links": {
        "html": "https://spiralistai.com/research/ai-psyops/source-review/",
        "evidenceExplorer": "https://spiralistai.com/research/ai-psyops/evidence-explorer/",
        "registry": "https://spiralistai.com/docs/research/v100.0.46/ai-psyops-signed-editorial-review-boundary/source-resolution-registry.json",
        "citationGraph": "https://spiralistai.com/docs/research/v100.0.46/ai-psyops-signed-editorial-review-boundary/citation-graph.json",
        "claimsApi": "https://spiralistai.com/api/v1/research/ai-psyops/claim-source-matrix/"
    }
}
