Pith. sign in

Paper Citation Record · LEDGER

Preliminary suggestions for rigorous GPAI model evaluations

As of 13 August 2026, this Paper Citation Record lists 6 of 6 outbound references and 0 inbound Pith citation observations for arXiv:2508.00875.

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

pith.paper-citation-record.v1
2508.00875 v1

Coverage vector

measured 6 of 6 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:20:12.807220Z

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

6 of 6 outbound references displayed

  • verified exact0
  • verified fuzzy1
  • unresolved2
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bdf73130-eaa7-4472-a47b-06b67211cf90 · outbound

This paper cites The Reality of AI and Biorisk.

Preliminary suggestions for rigorous GPAI model evaluations The Reality of AI and Biorisk

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-06T15:20:12.807220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:20:12.807220Z digest=sha256:c39172fa5228069e0a67b6209e706ac239d5af72ec2cd8188371c221bd563f3d

Observation 3173c339-74ea-4ae4-941e-5b6718748dae · outbound

This paper cites A Survey on LLM-as-a-Judge.

Preliminary suggestions for rigorous GPAI model evaluations A Survey on LLM-as-a-Judge

Reference 2016

Resolution
malformed identifier
no resolver link, observed 2026-08-06T15:20:12.662504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:20:12.662504Z digest=sha256:dca771704e90b7c2edbb7ad6481d8e778acf09c13470d665938b4bb4a300651b

Observation 6636a638-51e3-4f2c-95b5-1a12dc39f700 · outbound

This paper cites GPAI Evaluations Standards Taskforce: Towards Effective AI Governance.

Preliminary suggestions for rigorous GPAI model evaluations GPAI Evaluations Standards Taskforce: Towards Effective AI Governance

Reference 2019

Resolution
malformed identifier
no resolver link, observed 2026-08-06T15:20:12.734472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:20:12.734472Z digest=sha256:713e617e8a62328c4a512bee32f6b3ff3c04805eff93dc92610969a108414ba3

Observation e73c4c76-0de5-4cdc-aafe-9d1665ac82e6 · outbound

This paper cites What Makes an Evaluation Useful? Common Pitfalls and Best Practices.

Preliminary suggestions for rigorous GPAI model evaluations What Makes an Evaluation Useful? Common Pitfalls and Best Practices

Reference 2021

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T15:20:13.057032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T15:20:12.595218Z digest=sha256:7289cb69d6fc58918ae442b63047fa9240bec177ff66186de6e1324ac2a9c5b1

Observation 0d9252d4-45de-4e46-849d-0d5875a59d37 · outbound

This paper cites As of 10 October 2024: https://data.consilium.europa.eu/doc/document/ PE-24-2024-INIT/en/pdf Findley, Michael G., Kyosuke Kikuta & Michael Denly.

Preliminary suggestions for rigorous GPAI model evaluations As of 10 October 2024: https://data.consilium.europa.eu/doc/document/ PE-24-2024-INIT/en/pdf Findley, Michael G., Kyosuke Kikuta & Michael Denly

Reference 2024

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:20:13.223584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T15:20:12.504425Z digest=sha256:01602ed4d0112718fe11eaed8088d3f390bd08242bc63183a50c2b08844e231d

Observation 5b912a33-b4a6-4a11-bbfa-cfa0ac414b7e · outbound

This paper cites MLE-bench: Evaluating Machine Learning Agents on Machine Learning Engineering.

Preliminary suggestions for rigorous GPAI model evaluations MLE-bench: Evaluating Machine Learning Agents on Machine Learning Engineering

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-06T15:20:12.437386Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:20:12.437386Z digest=sha256:db39ced79ae060e4cf7185ed3df01defc73d518431806fe251d8070865b5feee

Pith citing papers

No inbound Pith citation observations are available.