{"as_of":"2026-08-10T10:06:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:4d7d2b530b35431685b28aaab926adc145a62b44a120e490ca21edf5e805ea01","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":5,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":5,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":5,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":5,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-03T14:26:12.726764Z","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":"2026-07-03T06:07:40.916143Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2503.11705","last_updated":"2025-03-31T08:28:25Z","snapshot_observed_at":"2026-08-07T17:10:21.935011Z","submitted_at":"2025-03-12T11:33:28Z","title":"The BIG Argument for AI Safety Cases","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.11705","snapshot_observed_at":"2026-08-03T14:26:12.726764Z","title":"The BIG argument for AI safety cases.arXiv preprint arXiv:2503.11705,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2512.22240","last_updated":"2026-07-06T10:43:22Z","snapshot_observed_at":"2026-08-06T16:12:09.827310Z","submitted_at":"2025-12-23T18:34:51Z","title":"EvoXplain: When Machine Learning Models Agree on Predictions but Disagree on Why -- Measuring Mechanistic Multiplicity Across Training Runs","version":5},"reference_index":2020,"source":"pdf_text","source_observed_at":"2026-08-03T14:26:12.726764Z"},"links":{"cited_paper":"/paper/2503.11705","citing_paper":"/paper/2512.22240"},"observation_digest":"sha256:e16774bae972382f18c41f30c61ea9896df4a1643e33d2fbe2ae364f84525271","observation_id":"4d2b496d-b54c-4b7b-ad2b-c257170276fd","resolution":{"observed_at":"2026-08-03T14:26:12.726764Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.11705","last_updated":"2025-03-31T08:28:25Z","snapshot_observed_at":"2026-08-07T17:10:21.935011Z","submitted_at":"2025-03-12T11:33:28Z","title":"The BIG Argument for AI Safety Cases","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.11705","snapshot_observed_at":"2026-07-14T00:01:45.452952Z","title":"arXiv preprint arXiv:2503.11705 (2025)","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2603.16013","last_updated":"2026-06-11T03:02:37Z","snapshot_observed_at":"2026-08-07T23:34:11.828568Z","submitted_at":"2026-03-16T23:43:38Z","title":"Safety Case Patterns for VLA-based driving systems: Insights from SimLingo","version":3},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-07-14T00:01:45.452952Z"},"links":{"cited_paper":"/paper/2503.11705","citing_paper":"/paper/2603.16013"},"observation_digest":"sha256:78f96ad6796432bf217634081492913a0e5dbf0f7371198b3021308891cf3520","observation_id":"1cc77f94-31df-4af1-962a-62b38ff591cb","resolution":{"observed_at":"2026-07-14T00:01:45.452952Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.11705","last_updated":"2025-03-31T08:28:25Z","snapshot_observed_at":"2026-08-07T17:10:21.935011Z","submitted_at":"2025-03-12T11:33:28Z","title":"The BIG Argument for AI Safety Cases","version":3},"cited_work":{"arxiv_id":"2503.11705","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2503.11705","snapshot_observed_at":"2026-07-03T06:07:40.916143Z","title":"Version Number: 3","venue":null,"work_id":"1c88b2a3-ea22-4dfe-9fba-cb90a0385040","year":2025},"citing_paper":{"arxiv_id":"2606.09414","last_updated":"2026-06-08T12:28:55Z","snapshot_observed_at":"2026-07-30T01:21:46.487703Z","submitted_at":"2026-06-08T12:28:55Z","title":"AI Assurance in UK Defence: Challenges in Operationalising JSP 936","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-06-27T15:11:34.346680Z"},"links":{"cited_paper":"/paper/2503.11705","citing_paper":"/paper/2606.09414"},"observation_digest":"sha256:56cc81ec5cee548817ec7c906c0996790efc965a389cd99e1130b52947e6b610","observation_id":"34622003-fe46-45a8-b5c1-cfee5aaf61a2","resolution":{"observed_at":"2026-07-03T03:37:35.457280Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.11705","last_updated":"2025-03-31T08:28:25Z","snapshot_observed_at":"2026-08-07T17:10:21.935011Z","submitted_at":"2025-03-12T11:33:28Z","title":"The BIG Argument for AI Safety Cases","version":3},"cited_work":{"arxiv_id":"2503.11705","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2503.11705","snapshot_observed_at":"2026-07-03T06:07:40.916143Z","title":"Version Number: 3","venue":null,"work_id":"1c88b2a3-ea22-4dfe-9fba-cb90a0385040","year":2025},"citing_paper":{"arxiv_id":"2607.02198","last_updated":"2026-07-02T14:06:48Z","snapshot_observed_at":"2026-08-03T06:39:30.033796Z","submitted_at":"2026-07-02T14:06:48Z","title":"What Types of Human-AI Teams Exist?","version":1},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-07-03T06:04:48.071684Z"},"links":{"cited_paper":"/paper/2503.11705","citing_paper":"/paper/2607.02198"},"observation_digest":"sha256:fe55d2929a686e1eaff411da37479762398e144ad977a9c8232c0ded81f0be14","observation_id":"3630d687-5e5d-46e3-a3fd-c2eb8102e577","resolution":{"observed_at":"2026-07-03T06:07:40.917646Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.11705","last_updated":"2025-03-31T08:28:25Z","snapshot_observed_at":"2026-08-07T17:10:21.935011Z","submitted_at":"2025-03-12T11:33:28Z","title":"The BIG Argument for AI Safety Cases","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.11705","snapshot_observed_at":"2026-08-01T12:54:33.002112Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.19292","last_updated":"2026-07-21T17:02:37Z","snapshot_observed_at":"2026-08-09T18:07:49.749835Z","submitted_at":"2026-07-21T17:02:37Z","title":"The safety failures we are not instrumenting: a perspective on hidden safety-critical challenges in modern AI systems","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-01T12:54:33.002112Z"},"links":{"cited_paper":"/paper/2503.11705","citing_paper":"/paper/2607.19292"},"observation_digest":"sha256:5d5f28bd7aee2e41fd78deb9959c6053a0de5cc7351d0fb8290f8fc11358e691","observation_id":"8426c1dc-bf3d-4e99-b9ad-ce8d7cc093b6","resolution":{"observed_at":"2026-08-01T12:54:33.002112Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2503.11705/citation-record","integrity":"/paper/2503.11705/integrity","json":"/paper/2503.11705/citation-record.json","paper":"/paper/2503.11705"},"outbound":[],"paper":{"arxiv_id":"2503.11705","last_updated":"2025-03-31T08:28:25Z","latest_version":3,"primary_category":"cs.CY","snapshot_observed_at":"2026-08-07T17:10:21.935011Z","submitted_at":"2025-03-12T11:33:28Z","title":"The BIG Argument for AI Safety Cases"},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2503.11705."}