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Paper Citation Record · LEDGER

Reproducibility in Machine Learning-based Research: Overview, Barriers and Drivers

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2406.14325.

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

pith.paper-citation-record.v1
2406.14325 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T18:10:22.679151Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T17:12:41.086238Z

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 eb82b189-6de7-4583-a707-d7e85d6d07a4 · inbound

Enhancing Code Consistency in AI Research with Large Language Models and Retrieval-Augmented Generation cites this paper.

Enhancing Code Consistency in AI Research with Large Language Models and Retrieval-Augmented Generation Reproducibility in Machine Learning-based Research: Overview, Barriers and Drivers

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-09T18:22:07.975846Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T18:22:07.975846Z digest=sha256:15c289851c3623f539bc52e0b8461d79dfb338d01908527673c65e46061685c7

Observation a19d6821-888e-4111-bc65-5a63989c22cf · inbound

Practical Application and Limitations of AI Certification Catalogues in the Light of the AI Act cites this paper.

Practical Application and Limitations of AI Certification Catalogues in the Light of the AI Act Reproducibility in Machine Learning-based Research: Overview, Barriers and Drivers

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-10T18:10:22.679151Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:10:22.679151Z digest=sha256:47bacb9385920b9e8e3014a99490476f4d278a0b4a036be86a0f11e52a611b22

Observation 682d8869-9e59-451f-a363-9d167b67a1a7 · inbound

A Qualitative Investigation into LLM-Generated Multilingual Code Comments and Automatic Evaluation Metrics cites this paper.

A Qualitative Investigation into LLM-Generated Multilingual Code Comments and Automatic Evaluation Metrics Reproducibility in Machine Learning-based Research: Overview, Barriers and Drivers

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-07T15:20:50.934765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:20:50.934765Z digest=sha256:b0c7de6bf564edcaa27460ad26cbad00b39a6bf2ffea0606c3631fcea9ac211d

Observation 5740e88c-209b-49e4-8d43-ddf0d260ccff · inbound

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

Position: Ideas Should be the Center of Machine Learning Research Reproducibility in Machine Learning-based Research: Overview, Barriers and Drivers

Reference 97

Resolution
verified exact
arxiv_id, observed 2026-05-19T17:12:41.088196Z

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=2026-05-19T17:11:07.062949Z digest=sha256:dc03db7fc699f9f797e719787252ecbc06903b3bbd9812783c1be05e53877d25