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Paper Citation Record · LEDGER

Foundation Models in Computational Pathology: A Review of Challenges, Opportunities, and Impact

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2502.08333.

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

pith.paper-citation-record.v1
2502.08333 v1

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 2026-08-07T06:34:17.273281+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:11:11.314952Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T17:08:43.538424Z

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 16c10afe-3cc8-4a5b-9764-690b95160147 · inbound

Towards Robust Foundation Models for Digital Pathology cites this paper.

Towards Robust Foundation Models for Digital Pathology Foundation Models in Computational Pathology: A Review of Challenges, Opportunities, and Impact

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-06T15:11:11.314952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:11:11.314952Z digest=sha256:7041a546baf09781464d11c36b277b25b7357f8beb9331ec0c075ad2bec5dcb7

Observation 98438f53-56c6-4fb0-bd6c-b8544276bf46 · inbound

Beyond the Failures: Rethinking Foundation Models in Pathology cites this paper.

Beyond the Failures: Rethinking Foundation Models in Pathology Foundation Models in Computational Pathology: A Review of Challenges, Opportunities, and Impact

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-18T04:00:50.991847Z

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=2026-05-18T03:58:14.423644Z digest=sha256:bd97d897c872b644d8d1a3bba43fb0bf5c9c273cc0ec429708f18f832203b010

Observation 21fdac6e-f90c-458d-b01e-83ad7caae3b5 · inbound

Weakly Supervised Multicenter Nancy Index Scoring in Ulcerative Colitis Using Foundation Models cites this paper.

Weakly Supervised Multicenter Nancy Index Scoring in Ulcerative Colitis Using Foundation Models Foundation Models in Computational Pathology: A Review of Challenges, Opportunities, and Impact

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-11T21:11:18.794428Z

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=2026-05-08T06:30:54.087355Z digest=sha256:f08b4871f39bed352f869e5ae17eae003fab7cd78295a6fd5431fdd47d2c9c13

Observation 17c1692a-e0bd-4a94-8942-3a64900f33f2 · inbound

Benchmarking Pathology Foundation Models for Breast Cancer Survival Prediction cites this paper.

Benchmarking Pathology Foundation Models for Breast Cancer Survival Prediction Foundation Models in Computational Pathology: A Review of Challenges, Opportunities, and Impact

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-11T21:46:43.823305Z

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=2026-05-08T04:21:01.746443Z digest=sha256:19dfc0d3f9026dc9ed02415056ead95031bfba911da8b7371e4eee6a3052c05f

Observation 6101c982-108a-4fb9-8066-19c3ebcf1689 · inbound

Democratizing and accelerating AI-driven pathology research through agentic intelligence cites this paper.

Democratizing and accelerating AI-driven pathology research through agentic intelligence Foundation Models in Computational Pathology: A Review of Challenges, Opportunities, and Impact

Reference 11

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T17:08:43.540440Z

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=2026-06-27T04:34:18.363493Z digest=sha256:b61e50a25fc4a606f8f87377ec177211cf29564f31173f9264b4391572599474