Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-06-26T16:55:33.605707Z
Paper Citation Record · LEDGER
Generative Responsible AI Data Evaluation Schema (GRAIDES) for AI Assurance in Local Government
As of 14 August 2026, this Paper Citation Record lists 4 of 4 outbound references and 0 inbound Pith citation observations for arXiv:2606.20963.
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 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
4 of 4 outbound references displayed
- verified exact3
- verified fuzzy0
- unresolved1
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 3de28207-52e5-4d6a-a2f1-1228c2ab9e53 · outbound
This paper cites Position: Don't Use the CLT in LLM Evals With Fewer Than a Few Hundred Datapoints.
Generative Responsible AI Data Evaluation Schema (GRAIDES) for AI Assurance in Local Government Position: Don't Use the CLT in LLM Evals With Fewer Than a Few Hundred Datapoints
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T04:29:35.587231Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation b184a676-f56a-46d2-9ef1-8cff183c266e · outbound
This paper cites an unresolved cited work.
Generative Responsible AI Data Evaluation Schema (GRAIDES) for AI Assurance in Local Government Unresolved cited work
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-06-26T16:55:33.605707Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c758b260-9808-483a-b98b-76be2e2009b2 · outbound
This paper cites an unresolved cited work.
Generative Responsible AI Data Evaluation Schema (GRAIDES) for AI Assurance in Local Government Unresolved cited work
Reference 3
- Resolution
- verified exact
- doi, observed 2026-06-26T16:59:35.756262Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation fe7076a6-a249-424c-b82d-966d96c67a68 · outbound
This paper cites Learning to judge: A cross-family auto-generated rubric framework.
Generative Responsible AI Data Evaluation Schema (GRAIDES) for AI Assurance in Local Government Learning to judge: A cross-family auto-generated rubric framework
Reference 4
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T04:29:35.590513Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Pith citing papers
No inbound Pith citation observations are available.