Paper Citation Record · LEDGER

An Open Source Data Contamination Report for Large Language Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2310.17589.

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

pith.paper-citation-record.v1
2310.17589 v3

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 2026-08-08T06:32:00.761636+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T14:51:15.421100Z

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 ef0597a4-e019-459c-a4e0-68f24c942d05 · inbound

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

Benchmark Data Contamination of Large Language Models: A Survey An Open Source Data Contamination Report for Large Language Models

Reference 96

Resolution: verified exact; arxiv_id, observed 2026-05-22T23:10:41.032900Z

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 2f5b0c50-5873-4c8b-ae0f-29c48757c09d · inbound

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

Unbiased Evaluation of Large Language Models from a Causal Perspective An Open Source Data Contamination Report for Large Language Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-08T14:51:15.421100Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba7e9401-0156-4f55-a3d7-8fd51bc3a93a · inbound

Answer-Centric or Reasoning-Driven? Uncovering the Latent Memory Anchor in LLMs cites this paper.

Answer-Centric or Reasoning-Driven? Uncovering the Latent Memory Anchor in LLMs An Open Source Data Contamination Report for Large Language Models

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T23:33:55.250770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57deabd8-a779-4d98-9d53-f4fc10f32e7a · inbound

Controlling the Risk of Corrupted Contexts for Language Models via Early-Exiting cites this paper.

Controlling the Risk of Corrupted Contexts for Language Models via Early-Exiting An Open Source Data Contamination Report for Large Language Models

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-04T12:45:26.141280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6df8c3ff-4aa5-4343-a916-55e5e70f6222 · inbound

Inflated Excellence or True Performance? Rethinking Medical Diagnostic Benchmarks with Dynamic Evaluation cites this paper.

Inflated Excellence or True Performance? Rethinking Medical Diagnostic Benchmarks with Dynamic Evaluation An Open Source Data Contamination Report for Large Language Models

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-18T08:12:29.830869Z

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 b387dd4a-0118-4ea0-b182-b6d907e860a2 · inbound

SPENCE: A Syntactic Probe for Detecting Contamination in NL2SQL Benchmarks cites this paper.

SPENCE: A Syntactic Probe for Detecting Contamination in NL2SQL Benchmarks An Open Source Data Contamination Report for Large Language Models

Reference 8

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T04:45:21.214169Z

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 a5ac612e-1d6a-4cb3-b8c8-c660e783d84f · inbound

Pretraining Data Exposure in Large Language Models: A Survey of Membership Inference, Data Contamination, and Security Implications cites this paper.

Pretraining Data Exposure in Large Language Models: A Survey of Membership Inference, Data Contamination, and Security Implications An Open Source Data Contamination Report for Large Language Models

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-06-30T17:24:56.622082Z

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 b70d2bd0-9bc7-4144-8574-e3b888745eb7 · inbound

Structure Before Collapse: Transient semantic geometry in next-token prediction cites this paper.

Structure Before Collapse: Transient semantic geometry in next-token prediction An Open Source Data Contamination Report for Large Language Models

Reference 88

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T13:29:51.068669Z

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.