{"as_of":"2026-08-12T04:19:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:07562400df9a798fd20c6fb121728d9424f6858e331190f2d3e232e5578f39ce","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":"2026-08-11T06:34:44.6726+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":"2026-08-10T15:31:20.242995Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"arxiv_reference","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":3,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2401.15229","last_updated":"2024-02-13T17:41:42Z","snapshot_observed_at":"2026-07-06T17:21:10.236126Z","submitted_at":"2024-01-26T22:28:25Z","title":"Evolving AI Risk Management: A Maturity Model based on the NIST AI Risk Management Framework","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.15229","snapshot_observed_at":"2026-08-10T15:31:20.242995Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.14040","last_updated":"2025-02-06T19:32:31Z","snapshot_observed_at":"2026-08-11T07:00:47.793134Z","submitted_at":"2025-01-23T19:14:11Z","title":"Global Perspectives of AI Risks and Harms: Analyzing the Negative Impacts of AI Technologies as Prioritized by News Media","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-10T15:31:20.242995Z"},"links":{"cited_paper":"/paper/2401.15229","citing_paper":"/paper/2501.14040"},"observation_digest":"sha256:e98f9c23ecc39898de8869e29c8265b51109c8ff1072bd20784385ba27eba128","observation_id":"e19ab47c-f5ea-4ef2-84da-bb5155700ba0","resolution":{"observed_at":"2026-08-10T15:31:20.242995Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.15229","last_updated":"2024-02-13T17:41:42Z","snapshot_observed_at":"2026-07-06T17:21:10.236126Z","submitted_at":"2024-01-26T22:28:25Z","title":"Evolving AI Risk Management: A Maturity Model based on the NIST AI Risk Management Framework","version":2},"cited_work":{"arxiv_id":"2401.15229","doi":"10.48550/arxiv.2401.15229","metadata_source":"arxiv_reference","pith_arxiv_id":"2401.15229","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Data Management Capability Assessment Model (DCAM) v2.2","venue":"arXiv (Cornell University)","work_id":"3d4cc1d2-c8be-47a4-b195-d75821b8bb73","year":null},"citing_paper":{"arxiv_id":"2605.04093","last_updated":"2026-04-29T09:59:36Z","snapshot_observed_at":"2026-08-11T03:30:08.032283Z","submitted_at":"2026-04-29T09:59:36Z","title":"Decision Evidence Maturity Model for Agentic AI: A Property-Level Method Specification","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-09T20:41:22.575635Z"},"links":{"cited_paper":"/paper/2401.15229","citing_paper":"/paper/2605.04093"},"observation_digest":"sha256:f8274d5660de328bf50ab4f1ebd1845e28ff69f15af2949fead8831d5ef40651","observation_id":"04f459e3-f8dc-4468-9522-5906c947010b","resolution":{"observed_at":"2026-05-09T20:42:32.073956Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2401.15229/citation-record","integrity":"/paper/2401.15229/integrity","json":"/paper/2401.15229/citation-record.json","paper":"/paper/2401.15229"},"outbound":[],"paper":{"arxiv_id":"2401.15229","last_updated":"2024-02-13T17:41:42Z","latest_version":2,"primary_category":"cs.CY","snapshot_observed_at":"2026-07-06T17:21:10.236126Z","submitted_at":"2024-01-26T22:28:25Z","title":"Evolving AI Risk Management: A Maturity Model based on the NIST AI Risk Management Framework"},"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":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"thesis":"As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2401.15229."}