{"as_of":"2026-08-09T17:33:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:f74376239bb9105d700dddf5ff9d040be0576dfff0be717dc30d69140cfcb61d","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":2,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":2,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T14:10:43.536990Z","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":"2026-05-12T07:31:27.006394Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2401.10149","last_updated":"2024-01-18T17:22:22Z","snapshot_observed_at":"2026-08-06T12:41:26.207761Z","submitted_at":"2024-01-18T17:22:22Z","title":"Multi-Agent Reinforcement Learning for Maritime Operational Technology Cyber Security","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.10149","snapshot_observed_at":"2026-08-07T14:10:43.536990Z","title":"Multi-agent reinforcement learning for maritime operational technology cyber security,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.19837","last_updated":"2025-05-26T11:19:43Z","snapshot_observed_at":"2026-08-08T18:53:17.848101Z","submitted_at":"2025-05-26T11:19:43Z","title":"Multi-Agent Reinforcement Learning in Cybersecurity: From Fundamentals to Applications","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-07T14:10:43.536990Z"},"links":{"cited_paper":"/paper/2401.10149","citing_paper":"/paper/2505.19837"},"observation_digest":"sha256:5f53ae3d463d9af0c4aa8a14e4e26baff0afff393f0ab5d2562f0b7a25ea1ed2","observation_id":"4f728629-6a63-4c53-8c18-85cd4584f560","resolution":{"observed_at":"2026-08-07T14:10:43.536990Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.10149","last_updated":"2024-01-18T17:22:22Z","snapshot_observed_at":"2026-08-06T12:41:26.207761Z","submitted_at":"2024-01-18T17:22:22Z","title":"Multi-Agent Reinforcement Learning for Maritime Operational Technology Cyber Security","version":1},"cited_work":{"arxiv_id":"2401.10149","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2401.10149","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Multi-agent reinforcement learning for maritime operational technology cyber security","venue":null,"work_id":"a7c36f4b-f282-4ec9-b836-848178c8cb7f","year":2024},"citing_paper":{"arxiv_id":"2605.09792","last_updated":"2026-05-10T22:26:53Z","snapshot_observed_at":"2026-07-06T23:21:49.499951Z","submitted_at":"2026-05-10T22:26:53Z","title":"Operationalizing Cybersecurity Governance for Mitigation Planning with Attack-Path Modeling and Reinforcement Learning","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-05-12T02:36:18.347410Z"},"links":{"cited_paper":"/paper/2401.10149","citing_paper":"/paper/2605.09792"},"observation_digest":"sha256:268657f1e0875b961cbd377b15ab2ece694748fdbea413205c80ce9f3142a85a","observation_id":"37059304-4dd6-43c3-a587-00a3e7ecca36","resolution":{"observed_at":"2026-05-12T07:31:27.012974Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2401.10149/citation-record","integrity":"/paper/2401.10149/integrity","json":"/paper/2401.10149/citation-record.json","paper":"/paper/2401.10149"},"outbound":[],"paper":{"arxiv_id":"2401.10149","last_updated":"2024-01-18T17:22:22Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-06T12:41:26.207761Z","submitted_at":"2024-01-18T17:22:22Z","title":"Multi-Agent Reinforcement Learning for Maritime Operational Technology Cyber Security"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2401.10149."}