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Paper Citation Record · LEDGER

Preliminary suggestions for rigorous GPAI model evaluations

As of 23 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 2026-08-23T06:30:58.430688+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=sha256:74921c456fe5716d77ac30f6cf35b91a088c04dfd54e0ce840088f124da2df9c

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=sha256:7e9b4a15e0f3ae04ca5ecd653b9b0d4f8d8c873e439ff917b6e262a07964a6a0

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:f2e5fbe4240c44f88340f68055cb45379a7f0ccb5b2b13a1c824f04b205d75dc

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T15:20:12.595218Z digest=sha256:8107da1bac8d8468d0f1b362ed36e43ded30294a3e9dcc3cbe0fc565ab3c518a

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T15:20:12.504425Z digest=sha256:50f7142ed81da80fe4d6cfab3f6b4f5d83f728c672ff15ba9037d70a27698072

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:dd6d551ab31dd80f36017650d47a9e5b79c314e4391b37206177a716aafa433f

Pith citing papers

No inbound Pith citation observations are available.