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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 3 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 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T18:22:07.975846Z

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 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