Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Competition-Level Problems are Effective LLM Evaluators
As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2312.02143.
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 2026-08-06T06:34:29.942622+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-22T23:10:40.420241Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-22T23:10:40.976975Z
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 ef6d5019-f883-453a-9dc3-45ec69b674ba · inbound
LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code cites this paper.
LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code Competition-Level Problems are Effective LLM Evaluators
Reference 259
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T17:34:42.915321Z
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.
Observation c7a6f056-30ae-4c52-9b02-c7a49d20297a · inbound
Benchmark Data Contamination of Large Language Models: A Survey cites this paper.
Benchmark Data Contamination of Large Language Models: A Survey Competition-Level Problems are Effective LLM Evaluators
Reference 65
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T23:10:40.979836Z
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.
Observation 66a5db3d-56cb-4e92-97d9-0cc2189d4012 · inbound
League of LLMs: A Benchmark-Free Paradigm for Mutual Evaluation of Large Language Models cites this paper.
League of LLMs: A Benchmark-Free Paradigm for Mutual Evaluation of Large Language Models Competition-Level Problems are Effective LLM Evaluators
Reference 22
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T03:22:01.360747Z
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.
Observation 6ecc6ae9-09b0-427f-a1f9-101da0c6a33f · inbound
EngiBench: A Benchmark for Evaluating Large Language Models on Engineering Problem Solving cites this paper.
EngiBench: A Benchmark for Evaluating Large Language Models on Engineering Problem Solving Competition-Level Problems are Effective LLM Evaluators
Reference 22
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-18T15:11:32.713054Z
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.
Observation 7cb9072a-e232-44bf-934b-86ca93832e31 · inbound
AutoBaxBuilder: Bootstrapping Code Security Benchmarking cites this paper.
AutoBaxBuilder: Bootstrapping Code Security Benchmarking Competition-Level Problems are Effective LLM Evaluators
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T12:16:31.800716Z
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.