Paper Citation Record · LEDGER

Sources of Irreproducibility in Machine Learning: A Review

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2204.07610.

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

pith.paper-citation-record.v1
2204.07610 v2

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 2026-08-22T06:32:14.747728+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:38:30.838996Z

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

31
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 da4d5169-7dd8-48ef-8de4-454a95965bfc · inbound

The Unreasonable Effectiveness of Open Science in AI: A Replication Study cites this paper.

The Unreasonable Effectiveness of Open Science in AI: A Replication Study Sources of Irreproducibility in Machine Learning: A Review

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-11T11:07:25.675637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16a04389-d3fd-4c68-8a8b-f58fb04e5db8 · inbound

Aerial Image Classification in Scarce and Unconstrained Environments via Conformal Prediction cites this paper.

Aerial Image Classification in Scarce and Unconstrained Environments via Conformal Prediction Sources of Irreproducibility in Machine Learning: A Review

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-16T10:38:30.838996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd3fac19-ba61-4d8e-bfd0-39f0a7fb150b · inbound

Not quite Sherlock Holmes: Language model predictions do not reliably differentiate impossible from improbable events cites this paper.

Not quite Sherlock Holmes: Language model predictions do not reliably differentiate impossible from improbable events Sources of Irreproducibility in Machine Learning: A Review

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T05:52:34.911806Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab66740a-863d-4237-83d2-c7d547861386 · inbound

Reducing Variability of Multiple Instance Learning Methods for Digital Pathology cites this paper.

Reducing Variability of Multiple Instance Learning Methods for Digital Pathology Sources of Irreproducibility in Machine Learning: A Review

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T21:26:03.122955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a40d1c0b-4fdf-48b5-b121-4a1389e9c206 · inbound

Statistical Quality and Reproducibility of Pseudorandom Number Generators in Machine Learning technologies cites this paper.

Statistical Quality and Reproducibility of Pseudorandom Number Generators in Machine Learning technologies Sources of Irreproducibility in Machine Learning: A Review

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T20:53:11.310105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93db3991-c8e6-4098-9618-8a0514fb0740 · inbound

Position: Ideas Should be the Center of Machine Learning Research cites this paper.

Position: Ideas Should be the Center of Machine Learning Research Sources of Irreproducibility in Machine Learning: A Review

Reference 130

Resolution: verified exact; arxiv_id, observed 2026-05-19T17:12:41.081782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5801c668-7ba9-4e7c-805a-0f26b8c2fcae · inbound

The Shift Toward Open and Reproducible AI Research cites this paper.

The Shift Toward Open and Reproducible AI Research Sources of Irreproducibility in Machine Learning: A Review

Reference 38

Resolution: metadata mismatch; arxiv_id, observed 2026-06-27T03:50:28.093433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation cbf9c838-245e-449e-b5ff-9ae902447032 · inbound

The Shift Toward Open and Reproducible AI Research cites this paper.

The Shift Toward Open and Reproducible AI Research Sources of Irreproducibility in Machine Learning: A Review

Reference 38

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T05:23:07.310069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.