{"as_of":"2026-08-19T02:36:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:22311f6f7556656423e0a78521dff963c5505602fa57d86df18f8f7d77b43ccf","coverage":[{"denominator":26,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":26,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-16T04:38:36.419865Z","state":"measured"},{"denominator":29,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":29,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-18T06:34:40.430872+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-16T04:50:59.860709Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-17T00:31:24.611904Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2505.03796","last_updated":"2025-05-01T18:41:00Z","snapshot_observed_at":"2026-08-18T12:40:36.413772Z","submitted_at":"2025-05-01T18:41:00Z","title":"AI-Driven IRM: Transforming insider risk management with adaptive scoring and LLM-based threat detection","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.03796","snapshot_observed_at":"2026-08-16T04:50:59.860709Z","title":"Ai-driven irm: Transforming insider risk management with adaptive scoring and llm- based threat detection,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.00240","last_updated":"2025-05-13T03:02:38Z","snapshot_observed_at":"2026-08-18T12:39:27.173893Z","submitted_at":"2025-05-01T01:18:54Z","title":"LLM-Based Threat Detection and Prevention Framework for IoT Ecosystems","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-16T04:50:59.860709Z"},"links":{"cited_paper":"/paper/2505.03796","citing_paper":"/paper/2505.00240"},"observation_digest":"sha256:16c58a737edec1aafc197394e56dd06f573d6f19dda58f32a778cf70bb0d3b03","observation_id":"07e01cb0-c149-4220-8eb2-7650ce543032","resolution":{"observed_at":"2026-08-16T04:50:59.860709Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.03796","last_updated":"2025-05-01T18:41:00Z","snapshot_observed_at":"2026-08-18T12:40:36.413772Z","submitted_at":"2025-05-01T18:41:00Z","title":"AI-Driven IRM: Transforming insider risk management with adaptive scoring and LLM-based threat detection","version":1},"cited_work":{"arxiv_id":"2505.03796","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.03796","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"AI-Driven IRM: Transforming insider risk management with adaptive scoring and LLM-based threat detection","venue":null,"work_id":"efd077ee-3d03-4891-bfe5-cca19ab2d659","year":2025},"citing_paper":{"arxiv_id":"2512.05929","last_updated":"2026-06-29T18:18:24Z","snapshot_observed_at":"2026-08-16T07:11:14.391624Z","submitted_at":"2025-12-05T18:12:21Z","title":"LLM Harms: A Taxonomy and Discussion","version":2},"reference_index":224,"source":"pdf_text","source_observed_at":"2026-05-17T00:29:07.951709Z"},"links":{"cited_paper":"/paper/2505.03796","citing_paper":"/paper/2512.05929"},"observation_digest":"sha256:25e19142c9d71ef0b42e04d323033affb0e2e99b34dc7ba1cb34de21782ae2ab","observation_id":"ccf11ca7-8ec9-43bc-8a0f-bfae9fdea089","resolution":{"observed_at":"2026-05-17T00:31:24.614341Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.03796","last_updated":"2025-05-01T18:41:00Z","snapshot_observed_at":"2026-08-18T12:40:36.413772Z","submitted_at":"2025-05-01T18:41:00Z","title":"AI-Driven IRM: Transforming insider risk management with adaptive scoring and LLM-based threat detection","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.03796","snapshot_observed_at":"2026-08-03T18:19:31.344747Z","title":"AI-Driven IRM: Transforming insider risk management with adaptive scoring and LLM-based threat detection,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2512.05929","last_updated":"2026-06-29T18:18:24Z","snapshot_observed_at":"2026-08-16T07:11:14.391624Z","submitted_at":"2025-12-05T18:12:21Z","title":"LLM Harms: A Taxonomy and Discussion","version":4},"reference_index":224,"source":"pdf_text","source_observed_at":"2026-08-03T18:19:31.344747Z"},"links":{"cited_paper":"/paper/2505.03796","citing_paper":"/paper/2512.05929"},"observation_digest":"sha256:eb053966b23856341a7217e73507d0901e7f219ded12cc2aa8c642c9d1fa8749","observation_id":"fc92e249-1182-4208-81ae-5a2b53f102c7","resolution":{"observed_at":"2026-08-03T18:19:31.344747Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2505.03796/citation-record","integrity":"/paper/2505.03796/integrity","json":"/paper/2505.03796/citation-record.json","paper":"/paper/2505.03796"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T04:38:37.223838Z","title":"Technical report, Verizon Enter- prise Solutions, 2024","venue":null,"work_id":"5e5b0208-55a2-4d58-99b2-911e139e1dfc","year":2024},"citing_paper":{"arxiv_id":"2505.03796","last_updated":"2025-05-01T18:41:00Z","snapshot_observed_at":"2026-08-18T12:40:36.413772Z","submitted_at":"2025-05-01T18:41:00Z","title":"AI-Driven IRM: Transforming insider risk management with adaptive scoring and LLM-based threat detection","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-16T04:38:36.107008Z"},"links":{"citing_paper":"/paper/2505.03796"},"observation_digest":"sha256:0f45a131ae5b14c87426af5e0bd51144d8fa2936772a401c8077183bfd7cb709","observation_id":"02f2abc5-6363-4490-bcea-62b1401c5ef0","resolution":{"observed_at":"2026-08-16T04:38:37.227346Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T04:38:37.189383Z","title":"2022 Cost of Insider Threats Global Report","venue":null,"work_id":"cae1b3ac-a753-4f30-bb9f-1119279fe1c6","year":2022},"citing_paper":{"arxiv_id":"2505.03796","last_updated":"2025-05-01T18:41:00Z","snapshot_observed_at":"2026-08-18T12:40:36.413772Z","submitted_at":"2025-05-01T18:41:00Z","title":"AI-Driven IRM: Transforming insider risk management with adaptive scoring and LLM-based threat detection","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-16T04:38:36.111479Z"},"links":{"citing_paper":"/paper/2505.03796"},"observation_digest":"sha256:f34695d410ff2dc3fc344c7a383b4094acacd35784a26b073ce86263184e90c9","observation_id":"8b65e4a4-b554-456c-8a4c-ab7cde942c6b","resolution":{"observed_at":"2026-08-16T04:38:37.217108Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T04:38:37.105194Z","title":"Using AI for Behavioral Analytics in Cybersecurity: Detecting Anomalies and Insider Threats","venue":null,"work_id":"2c9d3273-a0db-46c5-a29d-af172073279e","year":2024},"citing_paper":{"arxiv_id":"2505.03796","last_updated":"2025-05-01T18:41:00Z","snapshot_observed_at":"2026-08-18T12:40:36.413772Z","submitted_at":"2025-05-01T18:41:00Z","title":"AI-Driven IRM: Transforming insider risk management with adaptive scoring and LLM-based threat detection","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-16T04:38:36.115528Z"},"links":{"citing_paper":"/paper/2505.03796"},"observation_digest":"sha256:ec3f28c8ee6fbfbd20d3feb4dae9c2ea1cd5bfb27579f5e4fbe41f8e2d5fd271","observation_id":"c06c2942-62e6-47a8-b3a7-7dac17a2847d","resolution":{"observed_at":"2026-08-16T04:38:37.139253Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T04:38:37.095936Z","title":"Privacy Framework: A Tool for Improving Privacy through Enterprise Risk Management","venue":null,"work_id":"8b85f130-66bd-43f1-9e27-7743ac4e58b5","year":2020},"citing_paper":{"arxiv_id":"2505.03796","last_updated":"2025-05-01T18:41:00Z","snapshot_observed_at":"2026-08-18T12:40:36.413772Z","submitted_at":"2025-05-01T18:41:00Z","title":"AI-Driven IRM: Transforming insider risk management with adaptive scoring and LLM-based threat detection","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-16T04:38:36.118867Z"},"links":{"citing_paper":"/paper/2505.03796"},"observation_digest":"sha256:86e582909e6a46da3a2183e974c9887e50cb083b955d06e045cadfa2e143d520","observation_id":"f5855137-9802-4e8d-81c8-5a5a263b3f26","resolution":{"observed_at":"2026-08-16T04:38:37.099387Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T04:38:37.086778Z","title":"Azure Active Directory Documentation","venue":null,"work_id":"675eea42-2701-4f32-964c-a8ac9a580dbd","year":2024},"citing_paper":{"arxiv_id":"2505.03796","last_updated":"2025-05-01T18:41:00Z","snapshot_observed_at":"2026-08-18T12:40:36.413772Z","submitted_at":"2025-05-01T18:41:00Z","title":"AI-Driven IRM: Transforming insider risk management with adaptive scoring and LLM-based threat detection","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-16T04:38:36.122807Z"},"links":{"citing_paper":"/paper/2505.03796"},"observation_digest":"sha256:7314509ea9c5a69ca060744806409ea65ea40002c0e7c9b985923028bbde579a","observation_id":"6a44dcea-ac64-484f-af7b-8bc1f1e185cf","resolution":{"observed_at":"2026-08-16T04:38:37.089967Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T04:38:37.077899Z","title":"Identity and Access Management (IAM)","venue":null,"work_id":"db26a364-0be4-43f1-98f0-4ddf2c05a680","year":2024},"citing_paper":{"arxiv_id":"2505.03796","last_updated":"2025-05-01T18:41:00Z","snapshot_observed_at":"2026-08-18T12:40:36.413772Z","submitted_at":"2025-05-01T18:41:00Z","title":"AI-Driven IRM: Transforming insider risk management with adaptive scoring and LLM-based threat detection","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-16T04:38:36.184962Z"},"links":{"citing_paper":"/paper/2505.03796"},"observation_digest":"sha256:a8ccbaafe97bbbea6b66beb2f6bce3871b243409073a23f0d4ca7754454f5bd5","observation_id":"aebd50df-7ac3-4bf3-9b83-01274232a3ca","resolution":{"observed_at":"2026-08-16T04:38:37.081067Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T04:38:37.045564Z","title":"Google Workspace Admin Help.https://support.google.com/a/, 2024","venue":null,"work_id":"28103f57-fd3e-41b6-8a69-9302303b2c1c","year":2024},"citing_paper":{"arxiv_id":"2505.03796","last_updated":"2025-05-01T18:41:00Z","snapshot_observed_at":"2026-08-18T12:40:36.413772Z","submitted_at":"2025-05-01T18:41:00Z","title":"AI-Driven IRM: Transforming insider risk management with adaptive scoring and LLM-based threat detection","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-16T04:38:36.236332Z"},"links":{"citing_paper":"/paper/2505.03796"},"observation_digest":"sha256:4397afb16a0a9e10f7854b421c5b0e4a68723b267823d8129563de8124a65c4c","observation_id":"df28a530-1436-46ff-8c8f-65c369efd5e5","resolution":{"observed_at":"2026-08-16T04:38:37.071893Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T04:38:36.952233Z","title":"GPT-4 Technical Report.https://openai.com/research/gpt-4, 2023","venue":null,"work_id":"a5c2cb38-55f9-4a07-a875-8b91255bb8f9","year":2023},"citing_paper":{"arxiv_id":"2505.03796","last_updated":"2025-05-01T18:41:00Z","snapshot_observed_at":"2026-08-18T12:40:36.413772Z","submitted_at":"2025-05-01T18:41:00Z","title":"AI-Driven IRM: Transforming insider risk management with adaptive scoring and LLM-based threat detection","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-16T04:38:36.239912Z"},"links":{"citing_paper":"/paper/2505.03796"},"observation_digest":"sha256:a803ae79ef9c08552930f96559cb53266ae1ef23f1353c8e2edf1772e5e3ecfa","observation_id":"66bde800-c761-4f69-bdd7-e959673513f9","resolution":{"observed_at":"2026-08-16T04:38:36.990538Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"documents/4931631","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T04:38:36.544799Z","title":"Market Guide for Insider Risk Management Solutions","venue":null,"work_id":"724d8c93-49fb-4e69-9e3f-79c7fbbab03e","year":2023},"citing_paper":{"arxiv_id":"2505.03796","last_updated":"2025-05-01T18:41:00Z","snapshot_observed_at":"2026-08-18T12:40:36.413772Z","submitted_at":"2025-05-01T18:41:00Z","title":"AI-Driven IRM: Transforming insider risk management with adaptive scoring and LLM-based threat detection","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-16T04:38:36.243244Z"},"links":{"citing_paper":"/paper/2505.03796"},"observation_digest":"sha256:6819fa91c4b9e2e17db947cf2e7e7352a50b5e93e2b9368ce70da5182669cad7","observation_id":"2cf9185e-3524-4482-9009-daac7da10421","resolution":{"observed_at":"2026-08-16T04:38:36.586719Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T04:38:36.941373Z","title":"Security and privacy controls for federal information systems and organizations","venue":null,"work_id":"a28cf689-0450-4911-9033-b26cd96acfa5","year":2013},"citing_paper":{"arxiv_id":"2505.03796","last_updated":"2025-05-01T18:41:00Z","snapshot_observed_at":"2026-08-18T12:40:36.413772Z","submitted_at":"2025-05-01T18:41:00Z","title":"AI-Driven IRM: Transforming insider risk management with adaptive scoring and LLM-based threat detection","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-16T04:38:36.246405Z"},"links":{"citing_paper":"/paper/2505.03796"},"observation_digest":"sha256:410d4395e400d5233e5f9011a268718a118a3c88c7913606489f6280ab297040","observation_id":"cf9e6ee5-90bd-461b-b0ca-44ab11275f94","resolution":{"observed_at":"2026-08-16T04:38:36.944951Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T04:38:36.931645Z","title":"2023 Data Breach Investigations Report","venue":null,"work_id":"ebad2557-2e91-4771-8fa1-afcb8dc76b99","year":2023},"citing_paper":{"arxiv_id":"2505.03796","last_updated":"2025-05-01T18:41:00Z","snapshot_observed_at":"2026-08-18T12:40:36.413772Z","submitted_at":"2025-05-01T18:41:00Z","title":"AI-Driven IRM: Transforming insider risk management with adaptive scoring and LLM-based threat detection","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-16T04:38:36.249287Z"},"links":{"citing_paper":"/paper/2505.03796"},"observation_digest":"sha256:2eb38838069fd4d770e2389144c925d9dfa03c961bd5a8886de53ac036b8fb1c","observation_id":"dad1748b-130b-456f-8a06-6a90a1e7f2d1","resolution":{"observed_at":"2026-08-16T04:38:36.935180Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T04:38:36.921716Z","title":"Gartner Identifies the Top Cybersecurity Trends for 2023","venue":null,"work_id":"8cd69462-cf6d-404a-9b5a-dacfed85b398","year":2023},"citing_paper":{"arxiv_id":"2505.03796","last_updated":"2025-05-01T18:41:00Z","snapshot_observed_at":"2026-08-18T12:40:36.413772Z","submitted_at":"2025-05-01T18:41:00Z","title":"AI-Driven IRM: Transforming insider risk management with adaptive scoring and LLM-based threat detection","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-16T04:38:36.252519Z"},"links":{"citing_paper":"/paper/2505.03796"},"observation_digest":"sha256:4812e94c9c05dd8820132d4311c35b38b06679eda880b2c3e179bd9566d678e1","observation_id":"35d6fa31-9119-40f8-a570-89941d15993a","resolution":{"observed_at":"2026-08-16T04:38:36.925158Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T04:38:36.855668Z","title":"In 2013 IEEE Security and Privacy Workshops, pp","venue":null,"work_id":"41a9d0b0-efad-4d25-8e7c-0b678a52eea2","year":2013},"citing_paper":{"arxiv_id":"2505.03796","last_updated":"2025-05-01T18:41:00Z","snapshot_observed_at":"2026-08-18T12:40:36.413772Z","submitted_at":"2025-05-01T18:41:00Z","title":"AI-Driven IRM: Transforming insider risk management with adaptive scoring and LLM-based threat detection","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-16T04:38:36.255549Z"},"links":{"citing_paper":"/paper/2505.03796"},"observation_digest":"sha256:8abb59dbc548b460030d2f1c7ebf3d13034bb17c294f7c74f29b9136a5267e25","observation_id":"2ea7b2f5-6b79-4378-be40-ea8025d5e192","resolution":{"observed_at":"2026-08-16T04:38:36.915927Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T04:38:36.810033Z","title":"CERT Insider Threat Tools and Datasets.Technical Report, 2016","venue":null,"work_id":"914c38a5-94ae-4930-81af-43b7da7fa6c9","year":2016},"citing_paper":{"arxiv_id":"2505.03796","last_updated":"2025-05-01T18:41:00Z","snapshot_observed_at":"2026-08-18T12:40:36.413772Z","submitted_at":"2025-05-01T18:41:00Z","title":"AI-Driven IRM: Transforming insider risk management with adaptive scoring and LLM-based threat detection","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-16T04:38:36.259555Z"},"links":{"citing_paper":"/paper/2505.03796"},"observation_digest":"sha256:f162edf2c5d9af2a3d43fe44c8034550ba7eea209b6802622808dfaa1d00f8b0","observation_id":"a4b2ff6c-a661-4ff8-ac65-eb7ab2750c85","resolution":{"observed_at":"2026-08-16T04:38:36.820258Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T04:38:36.800498Z","title":"A survey of insider attack detection research","venue":null,"work_id":"0d48a949-e83c-4c1a-b387-a6d0c1dc275d","year":2008},"citing_paper":{"arxiv_id":"2505.03796","last_updated":"2025-05-01T18:41:00Z","snapshot_observed_at":"2026-08-18T12:40:36.413772Z","submitted_at":"2025-05-01T18:41:00Z","title":"AI-Driven IRM: Transforming insider risk management with adaptive scoring and LLM-based threat detection","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-16T04:38:36.262698Z"},"links":{"citing_paper":"/paper/2505.03796"},"observation_digest":"sha256:dbad5b79ea932a23401623a9ea783402fcfcfcac90ad06f0cc07d5443d5e242d","observation_id":"e484677d-e7b1-42f7-8976-2efc08fb7dee","resolution":{"observed_at":"2026-08-16T04:38:36.803912Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T04:38:36.792422Z","title":"and Frincke, Deborah A","venue":null,"work_id":"1a96fed9-5517-4d43-b8af-d8c15f019f29","year":2010},"citing_paper":{"arxiv_id":"2505.03796","last_updated":"2025-05-01T18:41:00Z","snapshot_observed_at":"2026-08-18T12:40:36.413772Z","submitted_at":"2025-05-01T18:41:00Z","title":"AI-Driven IRM: Transforming insider risk management with adaptive scoring and LLM-based threat detection","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-16T04:38:36.265579Z"},"links":{"citing_paper":"/paper/2505.03796"},"observation_digest":"sha256:30ef7d5649f2ab132767c1089f28d41ffe152da41fe3933ca15eb41f23dd0d0a","observation_id":"11a7e062-6041-4cf7-a9cc-bb7b97724465","resolution":{"observed_at":"2026-08-16T04:38:36.795264Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T04:38:36.783672Z","title":null,"venue":null,"work_id":"3233156b-147d-4310-84ba-5fc1d883d56a","year":2025},"citing_paper":{"arxiv_id":"2505.03796","last_updated":"2025-05-01T18:41:00Z","snapshot_observed_at":"2026-08-18T12:40:36.413772Z","submitted_at":"2025-05-01T18:41:00Z","title":"AI-Driven IRM: Transforming insider risk management with adaptive scoring and LLM-based threat detection","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-16T04:38:36.268667Z"},"links":{"citing_paper":"/paper/2505.03796"},"observation_digest":"sha256:6144252f118dc7247c3a2f86462618da28607fce00ccfc78a6eb81b55c2c687c","observation_id":"cce2066f-1a60-4ae2-bd68-ad70e0b2b220","resolution":{"observed_at":"2026-08-16T04:38:36.786821Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T04:38:36.774225Z","title":"Risk assessment model based on user behavior for insider threats.Computers & Security, 77, 428–440, 2018","venue":null,"work_id":"f7cca5ac-f5da-4719-b70b-ecdecd7e8cab","year":2018},"citing_paper":{"arxiv_id":"2505.03796","last_updated":"2025-05-01T18:41:00Z","snapshot_observed_at":"2026-08-18T12:40:36.413772Z","submitted_at":"2025-05-01T18:41:00Z","title":"AI-Driven IRM: Transforming insider risk management with adaptive scoring and LLM-based threat detection","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-16T04:38:36.272000Z"},"links":{"citing_paper":"/paper/2505.03796"},"observation_digest":"sha256:ecf396e72a6ed162e2a10132c492dc9d7b75dfc27fc3086cd48510428a910e4c","observation_id":"7581a7a2-34a1-4eee-9e00-03fd64475053","resolution":{"observed_at":"2026-08-16T04:38:36.777897Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T04:38:36.764606Z","title":"L., & Hohimer, R","venue":null,"work_id":"7b1761cc-f71a-4d75-9e26-e99e1c04d4d5","year":2011},"citing_paper":{"arxiv_id":"2505.03796","last_updated":"2025-05-01T18:41:00Z","snapshot_observed_at":"2026-08-18T12:40:36.413772Z","submitted_at":"2025-05-01T18:41:00Z","title":"AI-Driven IRM: Transforming insider risk management with adaptive scoring and LLM-based threat detection","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-16T04:38:36.274910Z"},"links":{"citing_paper":"/paper/2505.03796"},"observation_digest":"sha256:a2eb8e63f90754194233cedbfe485a223292e8a223da0ce9636f5557e1e6263c","observation_id":"b7749c07-d838-48fb-9a8f-d6e81ef87473","resolution":{"observed_at":"2026-08-16T04:38:36.767818Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2109.02568","last_updated":"2021-09-06T16:08:51Z","snapshot_observed_at":"2026-08-18T12:40:51.910411Z","submitted_at":"2021-09-06T16:08:51Z","title":"Insider Detection using Deep Autoencoder and Variational Autoencoder Neural Networks","version":1},"cited_work":{"arxiv_id":"2109.02568","doi":null,"metadata_source":"pith","pith_arxiv_id":"2109.02568","snapshot_observed_at":"2026-08-16T04:38:36.449770Z","title":"Insider Detection using Deep Autoencoder and Variational Autoencoder Neural Networks","venue":"cs.CR","work_id":"35835d76-d079-4e14-aac2-c35e3e0a486d","year":2021},"citing_paper":{"arxiv_id":"2505.03796","last_updated":"2025-05-01T18:41:00Z","snapshot_observed_at":"2026-08-18T12:40:36.413772Z","submitted_at":"2025-05-01T18:41:00Z","title":"AI-Driven IRM: Transforming insider risk management with adaptive scoring and LLM-based threat detection","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-16T04:38:36.277898Z"},"links":{"cited_paper":"/paper/2109.02568","citing_paper":"/paper/2505.03796"},"observation_digest":"sha256:e8b0ab885445cdd45d9c5ab1079f3d3767e21a2ebee0652502ea3f086008cc0e","observation_id":"e657e1cc-4203-4058-ba1d-110a6ea5f193","resolution":{"observed_at":"2026-08-16T04:38:36.455866Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T04:38:36.754960Z","title":"Humans in AI: The necessity for human-in-the-loop (HILT).Se- curity Magazine, 2024","venue":null,"work_id":"9db690dd-6c42-4a47-9e1e-1d89aaa1e0e1","year":2024},"citing_paper":{"arxiv_id":"2505.03796","last_updated":"2025-05-01T18:41:00Z","snapshot_observed_at":"2026-08-18T12:40:36.413772Z","submitted_at":"2025-05-01T18:41:00Z","title":"AI-Driven IRM: Transforming insider risk management with adaptive scoring and LLM-based threat detection","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-16T04:38:36.281304Z"},"links":{"citing_paper":"/paper/2505.03796"},"observation_digest":"sha256:c3ca79be25ca09887c140c373e5cff5372501f273512b466a6d765ff109df7c6","observation_id":"92210d57-07ad-4962-8cdc-e30705d530b8","resolution":{"observed_at":"2026-08-16T04:38:36.758608Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T04:38:36.720515Z","title":null,"venue":null,"work_id":"dfbce7b4-489c-4d4d-ba78-e562cfb7af33","year":2023},"citing_paper":{"arxiv_id":"2505.03796","last_updated":"2025-05-01T18:41:00Z","snapshot_observed_at":"2026-08-18T12:40:36.413772Z","submitted_at":"2025-05-01T18:41:00Z","title":"AI-Driven IRM: Transforming insider risk management with adaptive scoring and LLM-based threat detection","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-16T04:38:36.284847Z"},"links":{"citing_paper":"/paper/2505.03796"},"observation_digest":"sha256:56e18df989cf1c49df6f87a5d210c9cc936eb849e5dbe4b04a7503ccf608dba2","observation_id":"a65a78b4-e15e-4869-8c2d-0d4c3bfd6b77","resolution":{"observed_at":"2026-08-16T04:38:36.748665Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T04:38:36.628261Z","title":null,"venue":null,"work_id":"5e15784b-4717-4fde-af01-8a74d84821c7","year":2023},"citing_paper":{"arxiv_id":"2505.03796","last_updated":"2025-05-01T18:41:00Z","snapshot_observed_at":"2026-08-18T12:40:36.413772Z","submitted_at":"2025-05-01T18:41:00Z","title":"AI-Driven IRM: Transforming insider risk management with adaptive scoring and LLM-based threat detection","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-16T04:38:36.306197Z"},"links":{"citing_paper":"/paper/2505.03796"},"observation_digest":"sha256:b82d5b6e6f42ad6570e6eb3a02bf08a339cbf89dbf858c00df0f890427eae77c","observation_id":"61f66f38-6bc6-4175-8fe7-7064eaf490eb","resolution":{"observed_at":"2026-08-16T04:38:36.661917Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T04:38:36.616430Z","title":"Elevating Threat Intelligence: Integrating Context-Aware AI Models for Real-Time Cyber Defense.Wrixte, May 15, 2024","venue":null,"work_id":"e990a7d4-5afa-4de4-829f-42eabc44a312","year":2024},"citing_paper":{"arxiv_id":"2505.03796","last_updated":"2025-05-01T18:41:00Z","snapshot_observed_at":"2026-08-18T12:40:36.413772Z","submitted_at":"2025-05-01T18:41:00Z","title":"AI-Driven IRM: Transforming insider risk management with adaptive scoring and LLM-based threat detection","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-16T04:38:36.350111Z"},"links":{"citing_paper":"/paper/2505.03796"},"observation_digest":"sha256:d473242d4ef6d2f530965acac93dfe0bfe155c5ba747ace8e8e74db5bb6b1a1d","observation_id":"1d026cc4-26e4-435f-b427-a4c0559d3730","resolution":{"observed_at":"2026-08-16T04:38:36.620238Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T04:38:36.606090Z","title":"Building Context-Aware Cybersecurity Alerts.TCS Insights, Jan- uary 10, 2025","venue":null,"work_id":"dc7b8a33-da7c-468a-951a-61398c9cada8","year":2025},"citing_paper":{"arxiv_id":"2505.03796","last_updated":"2025-05-01T18:41:00Z","snapshot_observed_at":"2026-08-18T12:40:36.413772Z","submitted_at":"2025-05-01T18:41:00Z","title":"AI-Driven IRM: Transforming insider risk management with adaptive scoring and LLM-based threat detection","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-16T04:38:36.390033Z"},"links":{"citing_paper":"/paper/2505.03796"},"observation_digest":"sha256:bd98c3e659a212aed1821c57483d3ac157c5ee57027020e86277f0357d990ee2","observation_id":"b8bc6846-5e69-43ef-acdd-447280394d06","resolution":{"observed_at":"2026-08-16T04:38:36.610434Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T04:38:36.594398Z","title":"AI Risk Management: Introducing the On-Premises Version of DeepSeek to Keep Your Data In-House.Medium, March 2025","venue":null,"work_id":"4ff75c2e-a818-43e3-80ed-bdcfc84ad761","year":2025},"citing_paper":{"arxiv_id":"2505.03796","last_updated":"2025-05-01T18:41:00Z","snapshot_observed_at":"2026-08-18T12:40:36.413772Z","submitted_at":"2025-05-01T18:41:00Z","title":"AI-Driven IRM: Transforming insider risk management with adaptive scoring and LLM-based threat detection","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-16T04:38:36.419865Z"},"links":{"citing_paper":"/paper/2505.03796"},"observation_digest":"sha256:288d2bad63f0766ab5a8af7a29e3ae0fd3f5890f4a8b6028dfc5f65d2ab22bf2","observation_id":"db002ab6-631d-4eeb-a953-2785ff357cb7","resolution":{"observed_at":"2026-08-16T04:38:36.599249Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2505.03796","last_updated":"2025-05-01T18:41:00Z","latest_version":1,"primary_category":"cs.CR","snapshot_observed_at":"2026-08-18T12:40:36.413772Z","submitted_at":"2025-05-01T18:41:00Z","title":"AI-Driven IRM: Transforming insider risk management with adaptive scoring and LLM-based threat detection"},"reference_resolution":{"displayed":26,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":3,"verified_exact":2,"verified_fuzzy":21},"total_outbound_references":26},"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":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"thesis":"As of 19 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 3 inbound Pith citation observations for arXiv:2505.03796."}