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Paper Citation Record · LEDGER

A Holistic Assessment of the Reliability of Machine Learning Systems

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2307.10586.

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

pith.paper-citation-record.v1
2307.10586 v2

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 2026-08-21T06:32:19.484+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T01:01:29.078756Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T00:15:09.614581Z

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 10ecff86-c3ff-49a2-8b66-28128090884c · inbound

What Is AI Safety? What Do We Want It to Be? cites this paper.

What Is AI Safety? What Do We Want It to Be? A Holistic Assessment of the Reliability of Machine Learning Systems

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-16T01:01:29.078756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T01:01:29.078756Z digest=sha256:340dcd1cb85a069638235c80b8604faa14a656d506eb331fc9edd70d9f39833c

Observation dd79f042-1d04-4068-bcd0-58e8b0982f54 · inbound

Predictive Uncertainty for Runtime Assurance of a Real-Time Computer Vision-Based Landing System cites this paper.

Predictive Uncertainty for Runtime Assurance of a Real-Time Computer Vision-Based Landing System A Holistic Assessment of the Reliability of Machine Learning Systems

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-05T20:55:21.207801Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:55:21.207801Z digest=sha256:a09807b316935d8d8caec40085f4a59936f70f29ccccbfd93a20329508b8f9d1

Observation f1e7b500-0bd8-4724-b51f-942b61418010 · inbound

STABLEVAL: Disagreement-Aware and Stable Evaluation of AI Systems cites this paper.

STABLEVAL: Disagreement-Aware and Stable Evaluation of AI Systems A Holistic Assessment of the Reliability of Machine Learning Systems

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-07-01T00:15:09.615875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-01T00:05:08.730791Z digest=sha256:cf64c7e599752f4651ac8d8dd4042c767a633af550f57bb9575cea43fc15265d