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Paper Citation Record · LEDGER

Preventing Repeated Real World AI Failures by Cataloging Incidents: The AI Incident Database

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2011.08512.

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

pith.paper-citation-record.v1
2011.08512 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:42:01.009328Z

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

1
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 b3d3398d-ec4e-4446-8c6d-35a66043928d · inbound

Stakeholder Participation for Responsible AI Development: Disconnects Between Guidance and Current Practice cites this paper.

Stakeholder Participation for Responsible AI Development: Disconnects Between Guidance and Current Practice Preventing Repeated Real World AI Failures by Cataloging Incidents: The AI Incident Database

Reference 74

Resolution
unresolved
no resolver link, observed 2026-08-07T04:42:01.009328Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:42:01.009328Z digest=sha256:4bba21efbbb28e3272c0974d925868677f7961428bf1e789b282e30f56957251

Observation 42384b63-3ec1-4b21-b1dd-29d3775cf763 · 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 Preventing Repeated Real World AI Failures by Cataloging Incidents: The AI Incident Database

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-06-27T18:41:07.925818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-27T18:37:24.395892Z digest=sha256:28e05928a220b3a6c7808d68e33ebf7af627e3670102c16774fd30bcc3729932

Observation 39d34551-fb35-440e-b9cd-3edb6eced9da · inbound

Unsafe at any AUC: Unlearned Lessons from Sociotechnical Disasters for Responsible AI cites this paper.

Unsafe at any AUC: Unlearned Lessons from Sociotechnical Disasters for Responsible AI Preventing Repeated Real World AI Failures by Cataloging Incidents: The AI Incident Database

Reference 90

Resolution
unresolved
no resolver link, observed 2026-08-02T02:22:11.078242Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T02:22:11.078242Z digest=sha256:f28a66b0e8bc5976af41c0835508f621262993c49199ff16d7f026dcae80dc54