{"as_of":"2026-08-21T23:44:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:381dab35a5a1943f48bc5b2511489eebc87a1be1cf0941141ba1501db1380401","coverage":[{"denominator":18,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":18,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T17:28:59.405901Z","state":"measured"},{"denominator":18,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":18,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-21T06:32:19.484+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2608.03520/citation-record","integrity":"/paper/2608.03520/integrity","json":"/paper/2608.03520/citation-record.json","paper":"/paper/2608.03520"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T17:29:03.209637Z","title":"White paper (2025),https://www.alvarezandmarsal.com/insights/ artificial-intelligence-and-machine-learning-model-forensics","venue":null,"work_id":"eda4b655-c4b2-46ef-aec1-1453e8f27f76","year":2025},"citing_paper":{"arxiv_id":"2608.03520","last_updated":"2026-08-04T12:04:57Z","snapshot_observed_at":"2026-08-21T21:18:08.620290Z","submitted_at":"2026-08-04T12:04:57Z","title":"AI Forensics Across White-, Grey-, and Black-Box Access: A Process Model and Research Agenda for Post-Incident Investigation of AI Systems","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-05T17:28:57.463188Z"},"links":{"citing_paper":"/paper/2608.03520"},"observation_digest":"sha256:6028a08e3bd4565c1ec7184386b67340089008a69dd86d686ae72cc73547cb78","observation_id":"e943b51f-f875-4f46-9fa1-77131badc36e","resolution":{"observed_at":"2026-08-05T17:29:03.343036Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1912.06497","last_updated":"2019-12-11T23:39:57Z","snapshot_observed_at":"2026-08-16T22:05:52.605411Z","submitted_at":"2019-12-11T23:39:57Z","title":"Founding The Domain of AI Forensics","version":1},"cited_work":{"arxiv_id":"1912.06497","doi":null,"metadata_source":"pith","pith_arxiv_id":"1912.06497","snapshot_observed_at":"2026-08-05T17:29:00.193624Z","title":"Founding The Domain of AI Forensics","venue":"cs.CR","work_id":"83d41271-db7d-4954-b1b8-11e95fb1a5a7","year":2019},"citing_paper":{"arxiv_id":"2608.03520","last_updated":"2026-08-04T12:04:57Z","snapshot_observed_at":"2026-08-21T21:18:08.620290Z","submitted_at":"2026-08-04T12:04:57Z","title":"AI Forensics Across White-, Grey-, and Black-Box Access: A Process Model and Research Agenda for Post-Incident Investigation of AI Systems","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-05T17:28:57.547474Z"},"links":{"cited_paper":"/paper/1912.06497","citing_paper":"/paper/2608.03520"},"observation_digest":"sha256:e24c217f6cfd96580e6a2508f34f7aafbb62f5c9c3567fb2fdb601a8e7a6587c","observation_id":"f3ae148e-b8aa-43cd-9b28-995fd4737759","resolution":{"observed_at":"2026-08-05T17:29:00.297830Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T17:28:57.654986Z","title":"Information Fusion58, 82–115 (2020).https://doi.org/10.1016/j.inffus.2019.12.012,http://dx.doi.org/ 10.1016/j.inffus.2019.12.012","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2608.03520","last_updated":"2026-08-04T12:04:57Z","snapshot_observed_at":"2026-08-21T21:18:08.620290Z","submitted_at":"2026-08-04T12:04:57Z","title":"AI Forensics Across White-, Grey-, and Black-Box Access: A Process Model and Research Agenda for Post-Incident Investigation of AI Systems","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-05T17:28:57.654986Z"},"links":{"citing_paper":"/paper/2608.03520"},"observation_digest":"sha256:1910c4af527e37766c67bc8f430be802b6deb55fd431df98793f6f9ad6bde8a2","observation_id":"e5e19338-d682-4aad-8536-c9f0ecde1779","resolution":{"observed_at":"2026-08-05T17:28:57.654986Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T17:29:02.963263Z","title":"RFC 3227, Internet Engineering Task Force (IETF) (2002)","venue":null,"work_id":"116929d6-dd2e-4525-9a39-1537db6ece83","year":2002},"citing_paper":{"arxiv_id":"2608.03520","last_updated":"2026-08-04T12:04:57Z","snapshot_observed_at":"2026-08-21T21:18:08.620290Z","submitted_at":"2026-08-04T12:04:57Z","title":"AI Forensics Across White-, Grey-, and Black-Box Access: A Process Model and Research Agenda for Post-Incident Investigation of AI Systems","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-05T17:28:57.753131Z"},"links":{"citing_paper":"/paper/2608.03520"},"observation_digest":"sha256:46503a1e523b9744d9169f426b8f5846d1f8794601d4fd4987390c1beb22691d","observation_id":"ee12bf6f-ce8e-4d39-b47d-2fc3d109123c","resolution":{"observed_at":"2026-08-05T17:29:03.093140Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T17:28:57.861465Z","title":"Forensic Science International: Digital Investiga- tion48, 301675 (Mar 2024).https://doi.org/10.1016/j.fsidi.2023.301675, http://dx.doi.org/10.1016/j.fsidi.2023.301675","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.03520","last_updated":"2026-08-04T12:04:57Z","snapshot_observed_at":"2026-08-21T21:18:08.620290Z","submitted_at":"2026-08-04T12:04:57Z","title":"AI Forensics Across White-, Grey-, and Black-Box Access: A Process Model and Research Agenda for Post-Incident Investigation of AI Systems","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-05T17:28:57.861465Z"},"links":{"citing_paper":"/paper/2608.03520"},"observation_digest":"sha256:499a2806380f0b67377da5929eda14a4b328f42af8899f743c8d5281c15f7851","observation_id":"b6d1e56d-a261-4eeb-b585-406ad5eeeba3","resolution":{"observed_at":"2026-08-05T17:28:57.861465Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T17:29:02.672123Z","title":"laying down harmonised rules on artificial intelligence (artificial in- telligence act)","venue":null,"work_id":"13413088-966c-44fa-90fd-a514b50558e9","year":2024},"citing_paper":{"arxiv_id":"2608.03520","last_updated":"2026-08-04T12:04:57Z","snapshot_observed_at":"2026-08-21T21:18:08.620290Z","submitted_at":"2026-08-04T12:04:57Z","title":"AI Forensics Across White-, Grey-, and Black-Box Access: A Process Model and Research Agenda for Post-Incident Investigation of AI Systems","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-05T17:28:57.955118Z"},"links":{"citing_paper":"/paper/2608.03520"},"observation_digest":"sha256:5162b9cb9a0dbda5a70a9e08ef652ea05bd5f648147399f2e1da7d57df82cb0d","observation_id":"059c920f-25f6-4d51-bd40-1f2652b6c1bb","resolution":{"observed_at":"2026-08-05T17:29:02.803540Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2604.05589","last_updated":"2026-04-07T08:35:22Z","snapshot_observed_at":"2026-08-16T22:04:21.383738Z","submitted_at":"2026-04-07T08:35:22Z","title":"Foundations for Agentic AI Investigations from the Forensic Analysis of OpenClaw","version":1},"cited_work":{"arxiv_id":"2604.05589","doi":null,"metadata_source":"pith","pith_arxiv_id":"2604.05589","snapshot_observed_at":"2026-08-05T17:28:59.896374Z","title":"Foundations for Agentic AI Investigations from the Forensic Analysis of OpenClaw","venue":"cs.CR","work_id":"16fff9ba-61d2-40e0-8098-6ea8c5bb9267","year":2026},"citing_paper":{"arxiv_id":"2608.03520","last_updated":"2026-08-04T12:04:57Z","snapshot_observed_at":"2026-08-21T21:18:08.620290Z","submitted_at":"2026-08-04T12:04:57Z","title":"AI Forensics Across White-, Grey-, and Black-Box Access: A Process Model and Research Agenda for Post-Incident Investigation of AI Systems","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-05T17:28:58.090539Z"},"links":{"cited_paper":"/paper/2604.05589","citing_paper":"/paper/2608.03520"},"observation_digest":"sha256:bea73c1892b70aae73bc90f55d97edf1fd97e34712bcf23d980d2a7554950de6","observation_id":"ef2d8483-359c-43b7-a924-3847b4525cfc","resolution":{"observed_at":"2026-08-05T17:29:00.007152Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T17:29:02.386979Z","title":null,"venue":null,"work_id":"fb6bbffe-65a4-4bd1-8678-b10530817d09","year":2012},"citing_paper":{"arxiv_id":"2608.03520","last_updated":"2026-08-04T12:04:57Z","snapshot_observed_at":"2026-08-21T21:18:08.620290Z","submitted_at":"2026-08-04T12:04:57Z","title":"AI Forensics Across White-, Grey-, and Black-Box Access: A Process Model and Research Agenda for Post-Incident Investigation of AI Systems","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-05T17:28:58.206140Z"},"links":{"citing_paper":"/paper/2608.03520"},"observation_digest":"sha256:875038bb0651d5b9397c510a56544ec3ded10530e5a620ead43ce032d26b424b","observation_id":"068baa70-dc71-4c23-a74a-88bb60f7223f","resolution":{"observed_at":"2026-08-05T17:29:02.518228Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T17:29:02.102215Z","title":null,"venue":null,"work_id":"d3fe67d7-41f0-4fd2-9201-5ba5059e1e29","year":2015},"citing_paper":{"arxiv_id":"2608.03520","last_updated":"2026-08-04T12:04:57Z","snapshot_observed_at":"2026-08-21T21:18:08.620290Z","submitted_at":"2026-08-04T12:04:57Z","title":"AI Forensics Across White-, Grey-, and Black-Box Access: A Process Model and Research Agenda for Post-Incident Investigation of AI Systems","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-05T17:28:58.332689Z"},"links":{"citing_paper":"/paper/2608.03520"},"observation_digest":"sha256:240f39f85e5748e2ddbacf578bb35c4ec735f0dd19525aeee2887b86642d003c","observation_id":"8ff4e94d-cdb8-47a0-b98c-48c89c072665","resolution":{"observed_at":"2026-08-05T17:29:02.220124Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T17:29:01.807085Z","title":null,"venue":null,"work_id":"22aeef09-ce4d-43cb-83d4-6b675efd0472","year":2006},"citing_paper":{"arxiv_id":"2608.03520","last_updated":"2026-08-04T12:04:57Z","snapshot_observed_at":"2026-08-21T21:18:08.620290Z","submitted_at":"2026-08-04T12:04:57Z","title":"AI Forensics Across White-, Grey-, and Black-Box Access: A Process Model and Research Agenda for Post-Incident Investigation of AI Systems","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-05T17:28:58.418581Z"},"links":{"citing_paper":"/paper/2608.03520"},"observation_digest":"sha256:964c865e08276aea4d0679cee8bbd1d20cf01d61e3c0154122b1b08360c3af5a","observation_id":"9c476993-68be-42c6-bd72-2e1f58a43735","resolution":{"observed_at":"2026-08-05T17:29:01.928924Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T17:29:01.550402Z","title":"In: Proceedings of the 34th International Conference on Machine Learning (ICML)","venue":null,"work_id":"d7d46a48-4f36-4f10-8b3d-ce4bfa2e73e3","year":2017},"citing_paper":{"arxiv_id":"2608.03520","last_updated":"2026-08-04T12:04:57Z","snapshot_observed_at":"2026-08-21T21:18:08.620290Z","submitted_at":"2026-08-04T12:04:57Z","title":"AI Forensics Across White-, Grey-, and Black-Box Access: A Process Model and Research Agenda for Post-Incident Investigation of AI Systems","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-05T17:28:58.555845Z"},"links":{"citing_paper":"/paper/2608.03520"},"observation_digest":"sha256:04e6be5ab832dc0cff645759e3a84ab67ba8c4b46c19d74bb778b12f7e6c561b","observation_id":"a2eb729f-8891-4f1a-9be7-65587802dc98","resolution":{"observed_at":"2026-08-05T17:29:01.668804Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2308.02121","last_updated":"2024-07-18T08:53:10Z","snapshot_observed_at":"2026-08-16T15:10:53.815526Z","submitted_at":"2023-08-04T03:46:41Z","title":"Model Provenance via Model DNA","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.02121","snapshot_observed_at":"2026-08-05T17:28:58.672434Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.03520","last_updated":"2026-08-04T12:04:57Z","snapshot_observed_at":"2026-08-21T21:18:08.620290Z","submitted_at":"2026-08-04T12:04:57Z","title":"AI Forensics Across White-, Grey-, and Black-Box Access: A Process Model and Research Agenda for Post-Incident Investigation of AI Systems","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-05T17:28:58.672434Z"},"links":{"cited_paper":"/paper/2308.02121","citing_paper":"/paper/2608.03520"},"observation_digest":"sha256:53709e45aa391f399df996aa88cee1d2da80ec76adece22622832428e57cd2e2","observation_id":"6a3afe18-826d-47e3-a456-7826f5431d40","resolution":{"observed_at":"2026-08-05T17:28:58.672434Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T17:29:01.350487Z","title":"In: 33rd USENIX Security Symposium (USENIX Security 24)","venue":null,"work_id":"5169a8e5-f9ea-474f-99ea-0afa3558cc0b","year":2024},"citing_paper":{"arxiv_id":"2608.03520","last_updated":"2026-08-04T12:04:57Z","snapshot_observed_at":"2026-08-21T21:18:08.620290Z","submitted_at":"2026-08-04T12:04:57Z","title":"AI Forensics Across White-, Grey-, and Black-Box Access: A Process Model and Research Agenda for Post-Incident Investigation of AI Systems","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-05T17:28:58.800242Z"},"links":{"citing_paper":"/paper/2608.03520"},"observation_digest":"sha256:4fd33498561de31960ec6a7cc2c74fd35bc9ea2a9cd3c81558fce7fe2b44bf3f","observation_id":"7db80112-6ee8-42fa-b9d6-c0a982d4dfb5","resolution":{"observed_at":"2026-08-05T17:29:01.433064Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T17:29:01.092788Z","title":"In: Proceedings of the First Digital Forensic Research Workshop","venue":null,"work_id":"ba3e90f7-61b2-4ee2-8284-343424d0aa15","year":2001},"citing_paper":{"arxiv_id":"2608.03520","last_updated":"2026-08-04T12:04:57Z","snapshot_observed_at":"2026-08-21T21:18:08.620290Z","submitted_at":"2026-08-04T12:04:57Z","title":"AI Forensics Across White-, Grey-, and Black-Box Access: A Process Model and Research Agenda for Post-Incident Investigation of AI Systems","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-05T17:28:58.926106Z"},"links":{"citing_paper":"/paper/2608.03520"},"observation_digest":"sha256:88acf7a49aace7e7dbb3ece8241089bd3e14ce55dfd5d9b122f82700755d3999","observation_id":"6d8bcdd7-7e6c-465c-9198-2975795e418a","resolution":{"observed_at":"2026-08-05T17:29:01.206855Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T17:29:00.864999Z","title":null,"venue":null,"work_id":"213b79be-fa06-453d-bdae-4b334943192e","year":2023},"citing_paper":{"arxiv_id":"2608.03520","last_updated":"2026-08-04T12:04:57Z","snapshot_observed_at":"2026-08-21T21:18:08.620290Z","submitted_at":"2026-08-04T12:04:57Z","title":"AI Forensics Across White-, Grey-, and Black-Box Access: A Process Model and Research Agenda for Post-Incident Investigation of AI Systems","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-05T17:28:59.036849Z"},"links":{"citing_paper":"/paper/2608.03520"},"observation_digest":"sha256:90bf973aa2087cd957c27f4ca4ab9e6b8f18fa930400d759e9dc84aa99fff17e","observation_id":"3978c820-a626-46e7-b1f6-1afd3ea99ec1","resolution":{"observed_at":"2026-08-05T17:29:00.962963Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"5838.35658","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T17:28:59.663713Z","title":"Proceedings of the VLDB Endowment15(13), 4015–4022 (2022).https://doi.org/10.14778/3565838.3565853,http://dx.doi.org/10","venue":null,"work_id":"dd74f823-c15d-418c-a0c1-3b341c8b7605","year":2022},"citing_paper":{"arxiv_id":"2608.03520","last_updated":"2026-08-04T12:04:57Z","snapshot_observed_at":"2026-08-21T21:18:08.620290Z","submitted_at":"2026-08-04T12:04:57Z","title":"AI Forensics Across White-, Grey-, and Black-Box Access: A Process Model and Research Agenda for Post-Incident Investigation of AI Systems","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-05T17:28:59.179541Z"},"links":{"citing_paper":"/paper/2608.03520"},"observation_digest":"sha256:1f766b09363400fbb0c6a057d0abc124284fc67d0815d7d4504a046ef71539c2","observation_id":"1395d9aa-4c71-4a6b-b884-a07310d42a37","resolution":{"observed_at":"2026-08-05T17:28:59.782086Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T17:29:00.625024Z","title":"Chapman & Hall/CRC, Boca Raton, FL (2026)","venue":null,"work_id":"1b24482a-1160-477f-bd23-bc6dccce264f","year":2026},"citing_paper":{"arxiv_id":"2608.03520","last_updated":"2026-08-04T12:04:57Z","snapshot_observed_at":"2026-08-21T21:18:08.620290Z","submitted_at":"2026-08-04T12:04:57Z","title":"AI Forensics Across White-, Grey-, and Black-Box Access: A Process Model and Research Agenda for Post-Incident Investigation of AI Systems","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-05T17:28:59.302697Z"},"links":{"citing_paper":"/paper/2608.03520"},"observation_digest":"sha256:637cc7a6ce50cb2531c4ae88fc0d9ab7ab22eec9c8b66642e9e44f9406cdefb5","observation_id":"230fe1d8-ac5e-4168-b6cf-831f6bebbb0a","resolution":{"observed_at":"2026-08-05T17:29:00.731627Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T17:29:00.405976Z","title":"In: 25th USENIX Security Symposium (USENIX Security 16)","venue":null,"work_id":"0dd04ce7-9261-4c97-b7ee-672ecb0d01f5","year":2016},"citing_paper":{"arxiv_id":"2608.03520","last_updated":"2026-08-04T12:04:57Z","snapshot_observed_at":"2026-08-21T21:18:08.620290Z","submitted_at":"2026-08-04T12:04:57Z","title":"AI Forensics Across White-, Grey-, and Black-Box Access: A Process Model and Research Agenda for Post-Incident Investigation of AI Systems","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-05T17:28:59.405901Z"},"links":{"citing_paper":"/paper/2608.03520"},"observation_digest":"sha256:98e4d4d0e99074ce872ff1241986e353e505963da6ca2277d420bc8f29fc2378","observation_id":"4a4670a3-42a2-4d2a-bae3-9c3185521dbf","resolution":{"observed_at":"2026-08-05T17:29:00.531043Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2608.03520","last_updated":"2026-08-04T12:04:57Z","latest_version":1,"primary_category":"cs.CR","snapshot_observed_at":"2026-08-21T21:18:08.620290Z","submitted_at":"2026-08-04T12:04:57Z","title":"AI Forensics Across White-, Grey-, and Black-Box Access: A Process Model and Research Agenda for Post-Incident Investigation of AI Systems"},"reference_resolution":{"displayed":18,"state_counts":{"malformed_identifier":0,"metadata_mismatch":3,"parse_uncertain":0,"unresolved":7,"verified_exact":0,"verified_fuzzy":8},"total_outbound_references":18},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"thesis":"As of 21 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2608.03520."}