{"as_of":"2026-08-08T00:10:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:82ddf1950dbe04917a9d6daf620e5859853ba86909d541f902657fd454a120b5","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":"2026-08-07T06:34:17.273281+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":"2026-08-06T19:12:23.477658Z","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":"2026-05-11T20:21:08.798247Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2409.08751","last_updated":"2024-09-13T12:01:55Z","snapshot_observed_at":"2026-08-07T20:12:43.884829Z","submitted_at":"2024-09-13T12:01:55Z","title":"A Grading Rubric for AI Safety Frameworks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.08751","snapshot_observed_at":"2026-08-06T19:12:23.477658Z","title":"A grading rubric for ai safety frameworks,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.06323","last_updated":"2025-07-08T18:24:28Z","snapshot_observed_at":"2026-08-06T19:05:12.143746Z","submitted_at":"2025-07-08T18:24:28Z","title":"Bridging AI and Software Security: A Comparative Vulnerability Assessment of LLM Agent Deployment Paradigms","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-06T19:12:23.477658Z"},"links":{"cited_paper":"/paper/2409.08751","citing_paper":"/paper/2507.06323"},"observation_digest":"sha256:0d4a6fa779a787e72d1800d6009581517187561672e707bac355afab9722305d","observation_id":"4d709654-3fcc-4609-8f29-8950df6daced","resolution":{"observed_at":"2026-08-06T19:12:23.477658Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.08751","last_updated":"2024-09-13T12:01:55Z","snapshot_observed_at":"2026-08-07T20:12:43.884829Z","submitted_at":"2024-09-13T12:01:55Z","title":"A Grading Rubric for AI Safety Frameworks","version":1},"cited_work":{"arxiv_id":"2409.08751","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2409.08751","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"A grading rubric for ai safety frameworks","venue":null,"work_id":"da816bb6-3b11-4d68-b26c-90e44f751079","year":2024},"citing_paper":{"arxiv_id":"2604.23065","last_updated":"2026-07-01T23:54:28Z","snapshot_observed_at":"2026-07-06T23:09:19.041332Z","submitted_at":"2026-04-24T23:28:38Z","title":"What Should Frontier AI Developers Disclose About Internal Deployments?","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-05-08T09:33:47.869030Z"},"links":{"cited_paper":"/paper/2409.08751","citing_paper":"/paper/2604.23065"},"observation_digest":"sha256:9329883115d4cfbde02953084408ae5b9d7c37cf4b55e58474c211e118d352b7","observation_id":"ef8e65f0-ec1f-41b9-aa26-4c4fbf8f70cd","resolution":{"observed_at":"2026-05-11T20:21:08.801845Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2409.08751/citation-record","integrity":"/paper/2409.08751/integrity","json":"/paper/2409.08751/citation-record.json","paper":"/paper/2409.08751"},"outbound":[],"paper":{"arxiv_id":"2409.08751","last_updated":"2024-09-13T12:01:55Z","latest_version":1,"primary_category":"cs.CY","snapshot_observed_at":"2026-08-07T20:12:43.884829Z","submitted_at":"2024-09-13T12:01:55Z","title":"A Grading Rubric for AI Safety Frameworks"},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2409.08751."}