Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
To Err is AI : A Case Study Informing LLM Flaw Reporting Practices
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2410.12104.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-22T22:23:48.554356Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-22T22:25:12.082902Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 0564810d-34cf-42d2-b62b-0960e7c2af52 · inbound
Malicious and Unintentional Disclosure Risks in Large Language Models for Code Generation cites this paper.
Malicious and Unintentional Disclosure Risks in Large Language Models for Code Generation To Err is AI : A Case Study Informing LLM Flaw Reporting Practices
Reference 20
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T22:25:12.085476Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.