Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Position: AI Competitions Provide the Gold Standard for Empirical Rigor in GenAI Evaluation
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2505.00612.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:44:34.737273Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T14:44:37.557080Z
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 fd3fd3f4-6ca8-4869-8edb-d911de07a0e1 · inbound
CapBencher: Give Your LLM Benchmark a Built-in Alarm for Test-Set Overfitting cites this paper.
CapBencher: Give Your LLM Benchmark a Built-in Alarm for Test-Set Overfitting Position: AI Competitions Provide the Gold Standard for Empirical Rigor in GenAI Evaluation
Reference 2023
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-07T14:44:37.671156Z
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.
Observation d47b433a-ecdd-4c60-bf5f-c86b2e713985 · inbound
Adaptive Adversaries: A Multi-Turn, Multi-LLM Benchmark for LLM Agent Security cites this paper.
Adaptive Adversaries: A Multi-Turn, Multi-LLM Benchmark for LLM Agent Security Position: AI Competitions Provide the Gold Standard for Empirical Rigor in GenAI Evaluation
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T16:19:08.637388Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.