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Paper Citation Record · LEDGER

An Open Review of OpenReview: A Critical Analysis of the Machine Learning Conference Review Process

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2010.05137.

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

pith.paper-citation-record.v1
2010.05137 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:45:18.940764Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T00:20:54.895669Z

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 024dd819-cad6-4501-8a0a-ebaa415fc6e6 · inbound

SocialMaze: A Benchmark for Evaluating Social Reasoning in Large Language Models cites this paper.

SocialMaze: A Benchmark for Evaluating Social Reasoning in Large Language Models An Open Review of OpenReview: A Critical Analysis of the Machine Learning Conference Review Process

Reference 80

Resolution
unresolved
no resolver link, observed 2026-08-07T12:45:18.940764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:45:18.940764Z digest=sha256:0e97a3867343af48c495358c622f33406a1e9452da05484292f4de7e2554527a

Observation be01eed1-a832-4b38-a5c1-edbcfa239c97 · inbound

Are Non-English Papers Reviewed Fairly? Language-of-Study Bias in NLP Peer Reviews cites this paper.

Are Non-English Papers Reviewed Fairly? Language-of-Study Bias in NLP Peer Reviews An Open Review of OpenReview: A Critical Analysis of the Machine Learning Conference Review Process

Reference 2

Resolution
malformed identifier
arxiv_id, observed 2026-05-11T00:20:54.906349Z

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=pdf_text observed=2026-05-10T18:34:28.125799Z digest=sha256:eff61bf9eccf1897ef608263e0ac0534abba84ff66929db3b20a630301ba13fd

Observation 504a3264-05e4-4aa7-98f2-7ff4b75b31a1 · inbound

Catalyst Papers in Artificial Intelligence Research: A Landscape on ICLR from 2017 to 2025 cites this paper.

Catalyst Papers in Artificial Intelligence Research: A Landscape on ICLR from 2017 to 2025 An Open Review of OpenReview: A Critical Analysis of the Machine Learning Conference Review Process

Reference 25

Resolution
unresolved
no resolver link, observed 2026-07-12T16:04:50.429639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-12T16:04:50.429639Z digest=sha256:a762d8264c98fb1d28637963e60cca51368565b039742f24b956130e323bfa92

Observation 25b553ae-e087-4a49-b914-f6d9f1adc4bb · inbound

Bias at the Borderline: Who Gets the Benefit of the Doubt in Peer Review? cites this paper.

Bias at the Borderline: Who Gets the Benefit of the Doubt in Peer Review? An Open Review of OpenReview: A Critical Analysis of the Machine Learning Conference Review Process

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-01T00:21:42.231938Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T00:21:42.231938Z digest=sha256:99cca3e6276bea870e8600adc8f88121e0351a3740feb2bd51727fed12831969

Observation 20530eae-719f-44c8-a57e-eca9e5839c1a · inbound

Reviewer Scores Are Not Comparable Across Research Areas in ML Peer Review cites this paper.

Reviewer Scores Are Not Comparable Across Research Areas in ML Peer Review An Open Review of OpenReview: A Critical Analysis of the Machine Learning Conference Review Process

Reference 2017

Resolution
unresolved
no resolver link, observed 2026-08-02T15:15:45.919458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T15:15:45.919458Z digest=sha256:bca5d2ddb834e45a122eb02811599f570881e8f03c885c700f0b6901ad90ce22