{"as_of":"2026-08-08T13:49:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:4672b46a19a0d0548f5ec8301b75e3073d8b05c2dc2b2b9921d3a4ebb34ceaa6","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":4,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":4,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":4,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":4,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T12:45:21.293202Z","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":"2026-05-12T06:41:45.771592Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2411.18526","last_updated":"2025-04-03T02:40:12Z","snapshot_observed_at":"2026-08-04T19:41:48.321579Z","submitted_at":"2024-11-27T17:18:51Z","title":"NeuroAI for AI Safety","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.18526","snapshot_observed_at":"2026-08-07T12:45:21.293202Z","title":"Neuroai for ai safety.arXiv preprint arXiv:2411.18526, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.23933","last_updated":"2025-05-29T18:29:40Z","snapshot_observed_at":"2026-08-08T09:58:21.470954Z","submitted_at":"2025-05-29T18:29:40Z","title":"BIRD: Behavior Induction via Representation-structure Distillation","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T12:45:21.293202Z"},"links":{"cited_paper":"/paper/2411.18526","citing_paper":"/paper/2505.23933"},"observation_digest":"sha256:a0d7c25788be2925d3e375d3ed15a4dcbd78eea7e238ac4ba92ddc38a4be32aa","observation_id":"3d6c40a3-63f3-428a-b2ff-b199a4def170","resolution":{"observed_at":"2026-08-07T12:45:21.293202Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.18526","last_updated":"2025-04-03T02:40:12Z","snapshot_observed_at":"2026-08-04T19:41:48.321579Z","submitted_at":"2024-11-27T17:18:51Z","title":"NeuroAI for AI Safety","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.18526","snapshot_observed_at":"2026-08-05T15:09:54.371382Z","title":"Maximum entropy production principle in physics, chemistry and biology","venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2508.20465","last_updated":"2025-08-28T06:33:58Z","snapshot_observed_at":"2026-08-07T10:22:26.130034Z","submitted_at":"2025-08-28T06:33:58Z","title":"On the possibility of deep alignment","version":1},"reference_index":452,"source":"pdf_text","source_observed_at":"2026-08-05T15:09:54.371382Z"},"links":{"cited_paper":"/paper/2411.18526","citing_paper":"/paper/2508.20465"},"observation_digest":"sha256:be9204b75d9ec462185fc89e02580918749a2059c7060bd6891ae531158d5c43","observation_id":"4013661d-c80d-48ab-9618-d561d29ce5a8","resolution":{"observed_at":"2026-08-05T15:09:54.371382Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.18526","last_updated":"2025-04-03T02:40:12Z","snapshot_observed_at":"2026-08-04T19:41:48.321579Z","submitted_at":"2024-11-27T17:18:51Z","title":"NeuroAI for AI Safety","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.18526","snapshot_observed_at":"2026-08-05T11:39:11.693846Z","title":"Neuroai for ai safety","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.02655","last_updated":"2026-06-03T16:39:45Z","snapshot_observed_at":"2026-08-08T03:37:57.969187Z","submitted_at":"2025-09-02T15:13:14Z","title":"BioBlue: Systematic runaway-optimiser-like LLM failure modes on biologically and economically aligned AI safety benchmarks for LLMs with simplified observation format","version":3},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-05T11:39:11.693846Z"},"links":{"cited_paper":"/paper/2411.18526","citing_paper":"/paper/2509.02655"},"observation_digest":"sha256:a04bab47737d26f61eec3c1277b0fff4d725d7d973466ea36555bd51851ee586","observation_id":"32ddd6ed-0319-441d-b885-1e91f137a535","resolution":{"observed_at":"2026-08-05T11:39:11.693846Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.18526","last_updated":"2025-04-03T02:40:12Z","snapshot_observed_at":"2026-08-04T19:41:48.321579Z","submitted_at":"2024-11-27T17:18:51Z","title":"NeuroAI for AI Safety","version":2},"cited_work":{"arxiv_id":"2411.18526","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2411.18526","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Neuroai for ai safety","venue":null,"work_id":"53b7cb4b-20bf-4af5-b5b3-4c9332bb88f5","year":2024},"citing_paper":{"arxiv_id":"2605.09243","last_updated":"2026-05-10T00:58:21Z","snapshot_observed_at":"2026-08-02T12:44:48.367518Z","submitted_at":"2026-05-10T00:58:21Z","title":"How Much is Brain Data Worth for Machine Learning?","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-05-12T04:01:28.080306Z"},"links":{"cited_paper":"/paper/2411.18526","citing_paper":"/paper/2605.09243"},"observation_digest":"sha256:46d87d6cb0855e1bb04c9c6a37e7547e65e6be29628043334cd66851dcf035b8","observation_id":"10cf3dc5-5a8d-451a-acd3-eb3ef9c57832","resolution":{"observed_at":"2026-05-12T06:41:45.777681Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2411.18526/citation-record","integrity":"/paper/2411.18526/integrity","json":"/paper/2411.18526/citation-record.json","paper":"/paper/2411.18526"},"outbound":[],"paper":{"arxiv_id":"2411.18526","last_updated":"2025-04-03T02:40:12Z","latest_version":2,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-04T19:41:48.321579Z","submitted_at":"2024-11-27T17:18:51Z","title":"NeuroAI for AI Safety"},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2411.18526."}