Paper Citation Record · LEDGER

Dynamic Benchmarking of Reasoning Capabilities in Code Large Language Models Under Data Contamination

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2503.04149.

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

pith.paper-citation-record.v1
2503.04149 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:33:11.223662Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-02T18:47:17.124156Z

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 81670f9e-1a1b-4357-9c81-a8e809fea339 · inbound

OIBench: Benchmarking Strong Reasoning Models with Olympiad in Informatics cites this paper.

OIBench: Benchmarking Strong Reasoning Models with Olympiad in Informatics Dynamic Benchmarking of Reasoning Capabilities in Code Large Language Models Under Data Contamination

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T04:33:11.223662Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5aa4e8ea-667b-440d-b296-0f14123c2408 · inbound

LLMEval-Fair: A Large-Scale Longitudinal Study on Robust and Fair Evaluation of Large Language Models cites this paper.

LLMEval-Fair: A Large-Scale Longitudinal Study on Robust and Fair Evaluation of Large Language Models Dynamic Benchmarking of Reasoning Capabilities in Code Large Language Models Under Data Contamination

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-19T00:41:56.001377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b84fc53d-0b68-463d-b08b-8de0dee67701 · inbound

Do Androids Dream of Breaking the Game? Systematically Auditing AI Agent Benchmarks with BenchJack cites this paper.

Do Androids Dream of Breaking the Game? Systematically Auditing AI Agent Benchmarks with BenchJack Dynamic Benchmarking of Reasoning Capabilities in Code Large Language Models Under Data Contamination

Reference 11

Resolution: metadata mismatch; arxiv_id, observed 2026-05-14T20:32:56.883357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4589258f-35b5-4880-a64e-249f4ea351be · inbound

AlgoBench: Benchmarking Algorithmic Adaptation in Code Generation cites this paper.

AlgoBench: Benchmarking Algorithmic Adaptation in Code Generation Dynamic Benchmarking of Reasoning Capabilities in Code Large Language Models Under Data Contamination

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-07-02T18:47:17.125494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.