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Paper Citation Record · LEDGER

Benchmarking Pathology Foundation Models: Adaptation Strategies and Scenarios

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2410.16038.

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

pith.paper-citation-record.v1
2410.16038 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T14:02:28.643041Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T18:16:17.926450Z

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 8430c563-5db7-4da9-b7b7-9e0a0592ceb5 · inbound

A Survey on Computational Pathology Foundation Models: Datasets, Adaptation Strategies, and Evaluation Tasks cites this paper.

A Survey on Computational Pathology Foundation Models: Datasets, Adaptation Strategies, and Evaluation Tasks Benchmarking Pathology Foundation Models: Adaptation Strategies and Scenarios

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-10T14:02:28.643041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:02:28.643041Z digest=sha256:bf5aeaf1d5e7a7d700dfb81926fc2cfdf6f8dcc4dfeb2a33bb9a6c4ab034ddaa

Observation d6d42b44-0be5-47a9-aada-fdcff3983aa6 · inbound

Distilling foundation models for robust and efficient models in digital pathology cites this paper.

Distilling foundation models for robust and efficient models in digital pathology Benchmarking Pathology Foundation Models: Adaptation Strategies and Scenarios

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-08-10T13:40:24.676052Z

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.

source=pdf_text observed=2026-08-10T13:40:24.353437Z digest=sha256:0daeb030960f3467128649581cc87fcc51674e81df4bedf3c3410ce39bc5f0f4