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Paper Citation Record · LEDGER

Trustworthy Machine Learning

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2310.08215.

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

pith.paper-citation-record.v1
2310.08215 v1

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 2026-08-08T06:32:00.761636+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:18:32.006759Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T04:47:38.628057Z

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 784ada7c-49f8-47c8-9183-54a8e37fee2e · inbound

Model Merging is Secretly Certifiable: Non-Vacuous Generalisation Bounds for Low-Shot Learning cites this paper.

Model Merging is Secretly Certifiable: Non-Vacuous Generalisation Bounds for Low-Shot Learning Trustworthy Machine Learning

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T15:18:32.006759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:18:32.006759Z digest=sha256:82a42bc5e5bd08b50af421f493544fa3a5bacc4230a2d1470c33866810276859

Observation 438607d5-e48d-46f4-97f7-03bac91e63d0 · inbound

Understanding AI Trustworthiness: A Scoping Review of AIES & FAccT Articles cites this paper.

Understanding AI Trustworthiness: A Scoping Review of AIES & FAccT Articles Trustworthy Machine Learning

Reference 58

Resolution
verified exact
arxiv_id, observed 2026-05-18T05:00:54.842546Z

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.

source=pdf_text observed=2026-05-18T04:58:03.198620Z digest=sha256:18f93c44145bc55f2fa4d3a2b3f519c0e4b354df55d6f3c28beec80cd0dc722b

Observation 9418879f-3ae3-48fc-94ed-54411d42318e · inbound

Predicting Future Behaviors in Reasoning Models Enables Better Steering cites this paper.

Predicting Future Behaviors in Reasoning Models Enables Better Steering Trustworthy Machine Learning

Reference 44

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T04:47:38.629415Z

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.

source=arxiv_source observed=2026-06-27T13:36:47.335801Z digest=sha256:329b01965058d96aecc596b2ed9f3cbe43118f4a0e6411cb0d0f58bb8bb043a6