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Paper Citation Record · LEDGER

Data Contamination Through the Lens of Time

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2310.10628.

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

pith.paper-citation-record.v1
2310.10628 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:09:46.641763Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

3
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation fd7665ec-7acc-40cd-9340-6dd4537c1f27 · 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 Data Contamination Through the Lens of Time

Reference 207

Resolution
verified exact
arxiv_id, observed 2026-05-10T17:34:42.636870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-10T17:34:42.565806Z digest=sha256:fde544812f857338e65dc13db18c70f70007a95a743d1a1a79e94daa184a2056

Observation d9b50d17-64cd-42a7-9029-63f4dcfb434e · inbound

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

Benchmark Data Contamination of Large Language Models: A Survey Data Contamination Through the Lens of Time

Reference 126

Resolution
verified exact
arxiv_id, observed 2026-05-22T23:10:41.070893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-22T23:10:40.420241Z digest=sha256:6a61983aaa5e196b24eb29aed6e8d002783b79a8545ccf4e8cc62e4bf3767363

Observation a109f5e0-a86a-44cd-a25e-14434bb70045 · inbound

Can We Trust AI Benchmarks? An Interdisciplinary Review of Current Issues in AI Evaluation cites this paper.

Can We Trust AI Benchmarks? An Interdisciplinary Review of Current Issues in AI Evaluation Data Contamination Through the Lens of Time

Reference 107

Resolution
unresolved
no resolver link, observed 2026-08-08T15:06:55.243238Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T15:06:55.243238Z digest=sha256:d8f1dd8c29e38e27c00d1f9b691058517a700acc27e68ce63fa68e3e452e7d94

Observation 3135fdd4-e5f1-4ef9-af34-fd0ca9c374a1 · inbound

POPri: Private Federated Learning using Preference-Optimized Synthetic Data cites this paper.

POPri: Private Federated Learning using Preference-Optimized Synthetic Data Data Contamination Through the Lens of Time

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-16T11:09:46.641763Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:09:46.641763Z digest=sha256:ea425e7f634c6b11dd5de28e6c2a8b9ecaba8e277110ff9e25669a89364d3510

Observation db0cddfe-a008-45a4-ae18-3d9528a862a4 · inbound

LLM Performance for Code Generation on Noisy Tasks cites this paper.

LLM Performance for Code Generation on Noisy Tasks Data Contamination Through the Lens of Time

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T12:45:40.967359Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:45:40.967359Z digest=sha256:9ea14add03912573ed28c50954170e0ca1054e0c6a05eaaec1c26c6fb168a458

Observation f51def23-a51e-4190-9756-42c279a66d77 · inbound

TypyBench: Evaluating LLM Type Inference for Untyped Python Repositories cites this paper.

TypyBench: Evaluating LLM Type Inference for Untyped Python Repositories Data Contamination Through the Lens of Time

Reference 2015

Resolution
unresolved
no resolver link, observed 2026-08-06T13:12:26.242662Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:12:26.242662Z digest=sha256:e1a4b3f66a5abc2ba1507cf671d4539338a567fe5007cbd1e470882527ae5aa0

Observation a9b1ccee-79de-490b-84f0-43c6bc4e1284 · inbound

How Hard is it to Rig a Benchmark? A Social Choice Analysis of Leaderboard Robustness cites this paper.

How Hard is it to Rig a Benchmark? A Social Choice Analysis of Leaderboard Robustness Data Contamination Through the Lens of Time

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-25T04:40:24.403652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-25T04:37:01.537128Z digest=sha256:97d34244051b483eb027876515b140b57f2650727da7a9fdfcf54744157164dd

Observation 5d409df1-7733-48f8-9403-3db6cacb9cab · inbound

CurveShift: Is Agent Progress Scalar? Separating Level from Shape cites this paper.

CurveShift: Is Agent Progress Scalar? Separating Level from Shape Data Contamination Through the Lens of Time

Reference 1980

Resolution
unresolved
no resolver link, observed 2026-08-04T00:43:21.599653Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T00:43:21.599653Z digest=sha256:10ec9fb60ad0d4fba8711052ba8369f88d7c80a9a8ac6e56b633343b0e8cf236