Paper Citation Record · LEDGER

A Survey on Trustworthiness in Foundation Models for Medical Image Analysis

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2407.15851.

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

pith.paper-citation-record.v1
2407.15851 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T18:48:44.693516Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T07:29:39.393916Z

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 b5389dda-4c14-4f48-8766-8fbdbeac77a8 · inbound

UNICON: UNIfied CONtinual Learning for Medical Foundational Models cites this paper.

UNICON: UNIfied CONtinual Learning for Medical Foundational Models A Survey on Trustworthiness in Foundation Models for Medical Image Analysis

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-05T18:48:44.693516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b8294b5a-aa6c-4ce1-acfa-369202095972 · inbound

Federated Learning for Large Models in Medical Imaging: A Comprehensive Review cites this paper.

Federated Learning for Large Models in Medical Imaging: A Comprehensive Review A Survey on Trustworthiness in Foundation Models for Medical Image Analysis

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-05T15:07:54.395990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f6b504b-c2ab-40bb-af76-7e4e6e69592c · inbound

Leaderless Collective Motion in Affine Formation Control over the Complex Plane cites this paper.

Leaderless Collective Motion in Affine Formation Control over the Complex Plane A Survey on Trustworthiness in Foundation Models for Medical Image Analysis

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-13T09:18:06.363249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a4accfe-9d37-4aec-ab62-c58097584684 · inbound

Analogical Reasoning as a Doctor: A Foundation Model for Gastrointestinal Endoscopy Diagnosis cites this paper.

Analogical Reasoning as a Doctor: A Foundation Model for Gastrointestinal Endoscopy Diagnosis A Survey on Trustworthiness in Foundation Models for Medical Image Analysis

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-10T22:15:51.466948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 79febc85-5626-4902-aed7-1d12df0601c1 · inbound

AOR-Bench: Do Large Audio Language Models Over-Refuse Pseudo-Harmful Queries? cites this paper.

AOR-Bench: Do Large Audio Language Models Over-Refuse Pseudo-Harmful Queries? A Survey on Trustworthiness in Foundation Models for Medical Image Analysis

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-07-04T07:29:39.395650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b676a549-3db4-4b76-8664-678582f91645 · inbound

KANEx: Translating Kolmogorov-Arnold Networks' Interpretability to Medical Explainability cites this paper.

KANEx: Translating Kolmogorov-Arnold Networks' Interpretability to Medical Explainability A Survey on Trustworthiness in Foundation Models for Medical Image Analysis

Reference 21

Resolution: unresolved; no resolver link, observed 2026-07-31T06:40:23.872411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.