Paper Citation Record · LEDGER

Credal Learning Theory

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2402.00957.

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

pith.paper-citation-record.v1
2402.00957 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:31:49.452729Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T17:58:22.695300Z

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 d8025bdb-bd9a-4954-aeea-288de5ef7774 · inbound

A Unified Evaluation Framework for Epistemic Predictions cites this paper.

A Unified Evaluation Framework for Epistemic Predictions Credal Learning Theory

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T05:47:07.314614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a93fe2c1-ce69-46fe-9173-04efe5b993a5 · inbound

Random-Set Large Language Models cites this paper.

Random-Set Large Language Models Credal Learning Theory

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-16T10:31:49.452729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a1c95fb-e4d7-4726-a4ab-e31b34fcaffc · inbound

Epistemic Wrapping for Uncertainty Quantification cites this paper.

Epistemic Wrapping for Uncertainty Quantification Credal Learning Theory

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-16T01:05:21.298514Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7987de1e-cf8d-4a04-9d39-8a2c3c700627 · inbound

Epistemic Artificial Intelligence is Essential for Machine Learning Models to Truly 'Know When They Do Not Know' cites this paper.

Epistemic Artificial Intelligence is Essential for Machine Learning Models to Truly 'Know When They Do Not Know' Credal Learning Theory

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-15T23:21:13.225244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 420f992c-74be-4b84-85fa-85e98455903d · inbound

FedGSCA: Medical Federated Learning with Global Sample Selector and Client Adaptive Adjuster under Label Noise cites this paper.

FedGSCA: Medical Federated Learning with Global Sample Selector and Client Adaptive Adjuster under Label Noise Credal Learning Theory

Reference 47

Resolution: verified exact; local_arxiv, observed 2026-08-06T17:58:22.749107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.