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Paper Citation Record · LEDGER

Vision Foundation Models in Medical Image Analysis: Advances and Challenges

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2502.14584.

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

pith.paper-citation-record.v1
2502.14584 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 2026-08-07T06:34:17.273281+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:58:47.967225Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T20:46:35.723466Z

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 50bce7cc-cdd4-446c-84a6-67276c5db5a0 · inbound

Advancements in Artificial Intelligence Applications for Cardiovascular Disease Research cites this paper.

Advancements in Artificial Intelligence Applications for Cardiovascular Disease Research Vision Foundation Models in Medical Image Analysis: Advances and Challenges

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-07T10:58:47.967225Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:58:47.967225Z digest=sha256:90d9bcbecac94141ad98b4a045a6846d249c405345adcf4f5b62decb63f59545

Observation 7cb8a627-1f53-457b-9150-7cfdffe6ca3e · inbound

BleedOrigin: Dynamic Bleeding Source Localization in Endoscopic Submucosal Dissection via Dual-Stage Detection and Tracking cites this paper.

BleedOrigin: Dynamic Bleeding Source Localization in Endoscopic Submucosal Dissection via Dual-Stage Detection and Tracking Vision Foundation Models in Medical Image Analysis: Advances and Challenges

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-06T15:46:24.920826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:46:24.920826Z digest=sha256:7ad3824a43f5b756d4bc5070fea30fafd50789e02673d6bd01ef0b33a74b0d20

Observation b8680cbd-d08d-4b06-a369-bceb37a9a824 · inbound

Meta-Learning and Meta-Reinforcement Learning -- Tracing the Path towards DeepMind's Adaptive Agent cites this paper.

Meta-Learning and Meta-Reinforcement Learning -- Tracing the Path towards DeepMind's Adaptive Agent Vision Foundation Models in Medical Image Analysis: Advances and Challenges

Reference 93

Resolution
verified exact
arxiv_id, observed 2026-05-15T20:46:35.725110Z

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.

source=pdf_text observed=2026-05-15T20:46:15.275441Z digest=sha256:d49d3b392c2570b4248f0621e6511c6b9033e4c9674f51c687462b199031fdb5