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Paper Citation Record · LEDGER

Language model developers should report train-test overlap

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2410.08385.

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

pith.paper-citation-record.v1
2410.08385 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T15:06:55.394071Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T23:25:53.750928Z

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 acc757cd-6a7d-41f3-bbbb-fa8cc231c717 · 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 Language model developers should report train-test overlap

Reference 138

Resolution
unresolved
no resolver link, observed 2026-08-08T15:06:55.394071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T15:06:55.394071Z digest=sha256:09d612203f45a255612c7b8c60700fb9b0d7fb4a277be1e4408ea9a0285c5b82

Observation b7d1310d-4790-46ef-997a-f330a0adec6a · inbound

A Conceptual Framework for AI Capability Evaluations cites this paper.

A Conceptual Framework for AI Capability Evaluations Language model developers should report train-test overlap

Reference 97

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T23:25:53.854157Z

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=2026-08-06T23:25:52.690485Z digest=sha256:0d1cff1cdf58ab903e015c6f8846cf19fc0969463b4f0b6d62090d17bf912df6