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Paper Citation Record · LEDGER

Health AI Developer Foundations

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2411.15128.

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

pith.paper-citation-record.v1
2411.15128 v2

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 2026-08-06T06:34:29.942622+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T20:20:01.728568Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

4
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation accc3ea2-0da7-4b6e-92cc-dad3feba0165 · inbound

RoentMod: A Synthetic Chest X-Ray Modification Model to Identify and Correct Image Interpretation Model Shortcuts cites this paper.

RoentMod: A Synthetic Chest X-Ray Modification Model to Identify and Correct Image Interpretation Model Shortcuts Health AI Developer Foundations

Reference 34

Resolution
verified exact
local_arxiv, observed 2026-08-04T20:24:07.069581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-04T20:20:01.728568Z digest=sha256:3dc3b4bdf5155b7123148c0f080515227b08b9a4ec1a1f16110b687777eb2d70

Observation ac024226-1c8c-499f-8a08-b1fa29f3186a · inbound

ScaFE: Data-Efficient Scar Classification with LLM-Generated Clinical Feature Programs cites this paper.

ScaFE: Data-Efficient Scar Classification with LLM-Generated Clinical Feature Programs Health AI Developer Foundations

Reference 26

Resolution
unresolved
no resolver link, observed 2026-07-31T04:17:57.554126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T04:17:57.554126Z digest=sha256:21bc9eda77d5174bef5ad5f16f69f99483b033d6ba9cdb776843658b3bd185a3