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Paper Citation Record · LEDGER

A Survey on Trustworthiness in Foundation Models for Medical Image Analysis

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 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 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T20:33:09.660412Z

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 b511718a-b142-415e-8c42-0b6487ab8fda · inbound

Early Diagnosis of Alzheimer's Diseases and Dementia from MRI Images Using an Ensemble Deep Learning cites this paper.

Early Diagnosis of Alzheimer's Diseases and Dementia from MRI Images Using an Ensemble Deep Learning A Survey on Trustworthiness in Foundation Models for Medical Image Analysis

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-11T20:33:09.660412Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:33:09.660412Z digest=sha256:27ae83080b7be0881410423323d535d9c84fa9a14a8d4f7b850fe0aa54844611

Observation c0fac649-54eb-440b-ae64-a06b28b36e7e · inbound

Efficient MedSAMs: Segment Anything in Medical Images on Laptop cites this paper.

Efficient MedSAMs: Segment Anything in Medical Images on Laptop A Survey on Trustworthiness in Foundation Models for Medical Image Analysis

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-11T10:50:38.831389Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:50:38.831389Z digest=sha256:1f9e4274743a43f8d939f926963df7cb55698bd3b3572346c430bdb7e513631a

Observation 361fe1ed-6ee7-4134-97ff-0a6d1da0fc53 · inbound

Synthetic Poisoning Attacks: The Impact of Poisoned MRI Image on U-Net Brain Tumor Segmentation cites this paper.

Synthetic Poisoning Attacks: The Impact of Poisoned MRI Image on U-Net Brain Tumor Segmentation A Survey on Trustworthiness in Foundation Models for Medical Image Analysis

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-09T00:39:02.377249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T00:39:02.377249Z digest=sha256:b2d0ccf92406ba1aa26f22889c8ccf38ecc6b7b7a48a2767e44f24a7dc4c31d6

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.

source=pdf_text observed=2026-08-05T18:48:44.693516Z digest=sha256:2bf459cb88f1c6fc82f7d77e80f1fd465fe04214c4e056cd0198ca016a9625a9

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.

source=pdf_text observed=2026-08-05T15:07:54.395990Z digest=sha256:2ad03d35bf30c05bbd813aa665eb0ca21af273d09340d18f4f2af3e18af2f42a

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.

source=pdf_text observed=2026-07-13T09:18:06.363249Z digest=sha256:76e0f2803543c682c1749163d0b4365261d79f47bee2edbff29dd7e7dcee4e52

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-10T20:01:47.592716Z digest=sha256:4ceeabfef67f1d3f6eaa34faffb3fd28a8da91701a221f1eab31988852a3f32e

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-06-26T13:22:12.541923Z digest=sha256:b4ef2fff77baf5a924b292e081bb7aaa40099e2481d3ed60c7bcf768d25c955f

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.

source=pdf_text observed=2026-07-31T06:40:23.872411Z digest=sha256:ef7dec6dc737d16923cafcfe831845b099093df413aa374803a1c4619bb1073a