Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
ABOUT ML: Annotation and Benchmarking on Understanding and Transparency of Machine Learning Lifecycles
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1912.06166.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T11:53:00.517573Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-10T21:35:18.803031Z
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 cdc7c912-113f-4572-93fd-8727a76f1f62 · inbound
The Pile: An 800GB Dataset of Diverse Text for Language Modeling cites this paper.
The Pile: An 800GB Dataset of Diverse Text for Language Modeling ABOUT ML: Annotation and Benchmarking on Understanding and Transparency of Machine Learning Lifecycles
Reference 59
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T21:35:18.807631Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation a6ffed8c-d62b-4a9c-bb83-00835cc02569 · inbound
Developing a Risk Identification Framework for Foundation Model Uses cites this paper.
Developing a Risk Identification Framework for Foundation Model Uses ABOUT ML: Annotation and Benchmarking on Understanding and Transparency of Machine Learning Lifecycles
Reference 48
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:53:00.517573Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 571f665f-e602-4e15-aa09-9c7e263a7456 · inbound
Who Owns The Robot?: Four Ethical and Socio-technical Questions about Wellbeing Robots in the Real World through Community Engagement cites this paper.
Who Owns The Robot?: Four Ethical and Socio-technical Questions about Wellbeing Robots in the Real World through Community Engagement ABOUT ML: Annotation and Benchmarking on Understanding and Transparency of Machine Learning Lifecycles
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T12:34:22.183427Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.