Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Reproducibility in Machine Learning-Driven Research
As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2307.10320.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T18:10:22.673260Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T15:43:59.738943Z
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 06cd4f00-50db-49be-8ae1-f14688e669f4 · 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-Driven Research
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T18:10:22.673260Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 45f9929d-0e8d-47f8-a891-407be640d4d8 · inbound
yProv4ML: Effortless Provenance Tracking for Machine Learning Systems cites this paper.
yProv4ML: Effortless Provenance Tracking for Machine Learning Systems Reproducibility in Machine Learning-Driven Research
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:09:23.689619Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 35223d75-fa58-42dd-a494-782a3f25f970 · inbound
Private, Verifiable, and Auditable AI Systems cites this paper.
Private, Verifiable, and Auditable AI Systems Reproducibility in Machine Learning-Driven Research
Reference 253
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T15:43:59.741796Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.