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Paper Citation Record · LEDGER

Quantifying Contamination in Evaluating Code Generation Capabilities of Language Models

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 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 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:03:28.728894Z

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-24T03:58:32.556725Z digest=sha256:3c27965e627aac382565f12f288076a5e88af55683a98b42098d03cf060d8895

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-10T17:34:42.565806Z digest=sha256:ff6b1c61729bd2c07a3cbb7692f717cb0516f1d23094e3e3436ef8c649e91748

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-22T23:10:40.420241Z digest=sha256:7170695ef31d6afd2a69c514ad1df5a3df5da8104b74e7248b5b476aba6a90cd

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=sha256:4642aead0af17ed8b6e8c27078bb7e38f5df71e4617fda74816bb0314f6fc92a

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-22T09:40:21.746161Z digest=sha256:82c2e83f764dd53ce6c4ab53b8af59a06470a2adc4df468b5f04cc329f8df94e