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Paper Citation Record · LEDGER

Quantifying Contamination in Evaluating Code Generation Capabilities of Language Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2403.04811.

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

pith.paper-citation-record.v1
2403.04811 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T14:51:15.447817Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T03:58:51.426007Z

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 e6f1f4cd-6cce-4c4d-96dc-d25fe12355c9 · inbound

CodePori: Large-Scale System for Autonomous Software Development Using Multi-Agent Technology cites this paper.

CodePori: Large-Scale System for Autonomous Software Development Using Multi-Agent Technology Quantifying Contamination in Evaluating Code Generation Capabilities of Language Models

Reference 72

Resolution
verified exact
arxiv_id, observed 2026-05-24T03:58:51.430188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-24T03:58:32.556725Z digest=sha256:09683c26d059300953b92c1660dfea2a41ead893ca1ad215aa2deb2854d706f6

Observation de7fd108-d787-4f08-b9ae-23d2f10b00aa · 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 Quantifying Contamination in Evaluating Code Generation Capabilities of Language Models

Reference 296

Resolution
verified exact
arxiv_id, observed 2026-05-10T17:34:42.983778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T17:34:42.565806Z digest=sha256:4cb2ad6df356c931c4f1c9ff6a97bfc4b1edbd60996e6e98ecb4f3bcae6d7252

Observation 1157a8e4-8ecf-459f-96d5-870723109ae5 · inbound

Benchmark Data Contamination of Large Language Models: A Survey cites this paper.

Benchmark Data Contamination of Large Language Models: A Survey Quantifying Contamination in Evaluating Code Generation Capabilities of Language Models

Reference 124

Resolution
verified exact
arxiv_id, observed 2026-05-22T23:10:41.061069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-22T23:10:40.420241Z digest=sha256:20a4046825ed9f60386b505aafa33d286c3c0c7e25a4752ef186feba56518cc4

Observation 9ce1ddb3-57b9-482a-9d4c-84c632a00216 · inbound

Unbiased Evaluation of Large Language Models from a Causal Perspective cites this paper.

Unbiased Evaluation of Large Language Models from a Causal Perspective Quantifying Contamination in Evaluating Code Generation Capabilities of Language Models

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-08T14:51:15.447817Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T14:51:15.447817Z digest=sha256:5add07192e2bcb7d09e5cd7e1e431e63a78aac4bf682782230be7371c9e84f51

Observation f1bda1d8-c08a-4c9a-8336-4ee241f96f24 · inbound

Evaluating and Improving Large Language Models for Competitive Program Generation cites this paper.

Evaluating and Improving Large Language Models for Competitive Program Generation Quantifying Contamination in Evaluating Code Generation Capabilities of Language Models

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T22:03:28.728894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:03:28.728894Z digest=sha256:906470555419ec2cda84d53083baad54fef973eb42f96ae89f2c552dd55d1408

Observation e9c87746-5f6a-4225-bef9-7885130ba5eb · inbound

ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage cites this paper.

ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage Quantifying Contamination in Evaluating Code Generation Capabilities of Language Models

Reference 66

Resolution
metadata mismatch
arxiv_id, observed 2026-05-22T09:41:21.760426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-22T09:40:21.746161Z digest=sha256:f913bafb2db57f2da5bb222301bb8b5d215cea9f57ebeb2ce1a103a9577d0e93

Observation 765eb102-f051-4d11-bad6-a9e8a45ace8c · inbound

Temporal Leakage in LLM Backtesting: Measurement, Validation, and Adjusted Scores cites this paper.

Temporal Leakage in LLM Backtesting: Measurement, Validation, and Adjusted Scores Quantifying Contamination in Evaluating Code Generation Capabilities of Language Models

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-08T04:31:04.391835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T04:31:04.391835Z digest=sha256:ec0e6de50f6869fb4c897a8875f560ba504b2c1fca8708ee94b4215af194655a