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Paper Citation Record · LEDGER

Lessons for Editors of AI Incidents from the AI Incident Database

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2409.16425.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2409.16425 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T10:33:12.412310Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

2
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 3c322345-113c-4d06-bfcf-0f5c9df3cc60 · inbound

Automating AI Failure Tracking: Semantic Association of Reports in AI Incident Database cites this paper.

Automating AI Failure Tracking: Semantic Association of Reports in AI Incident Database Lessons for Editors of AI Incidents from the AI Incident Database

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-06T10:33:12.412310Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:33:12.412310Z digest=sha256:02eeb000fb9729aa0725ce9a8a3b35a9990574c91b5c18d7f816ae5561816c8c

Observation 2111ed0e-3cc2-4d4f-ba7c-d8a811cba6ba · inbound

RiskNet: A large-scale dataset of AI risk incidents from news with alignment and multi-dimensional annotations cites this paper.

RiskNet: A large-scale dataset of AI risk incidents from news with alignment and multi-dimensional annotations Lessons for Editors of AI Incidents from the AI Incident Database

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-06-27T18:41:07.922726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-27T18:37:24.395892Z digest=sha256:08d4c774430f67795423321348dc4e83c1e842babbbb8018c3c3a54c5edbdbd5