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Paper Citation Record · LEDGER

Towards General Purpose Medical AI: Continual Learning Medical Foundation Model

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2303.06580.

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

pith.paper-citation-record.v1
2303.06580 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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:09:17.007509Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T12:09:57.634808Z

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 6871dd89-d511-4afa-9ee9-09b60ac0f510 · inbound

Advancements in Medical Image Classification through Fine-Tuning Natural Domain Foundation Models cites this paper.

Advancements in Medical Image Classification through Fine-Tuning Natural Domain Foundation Models Towards General Purpose Medical AI: Continual Learning Medical Foundation Model

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-07T14:09:17.007509Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:09:17.007509Z digest=sha256:d95cfe9c83aa84ba4e9ffa34714556b22155ce56927a8bcf0deb78803fd7029d

Observation c805b899-ce14-42d5-97f5-9194ffe5b821 · inbound

iDPA: Instance Decoupled Prompt Attention for Incremental Medical Object Detection cites this paper.

iDPA: Instance Decoupled Prompt Attention for Incremental Medical Object Detection Towards General Purpose Medical AI: Continual Learning Medical Foundation Model

Reference 58

Resolution
verified exact
local_arxiv, observed 2026-08-07T12:09:57.676160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:09:57.354643Z digest=sha256:bbbe23f60c16abe35456f33ec83e9f35c29545b8187cedd472b10f70aee7fc2a