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Paper Citation Record · LEDGER

Improving Medical Multi-modal Contrastive Learning with Expert Annotations

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2403.10153.

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

pith.paper-citation-record.v1
2403.10153 v3

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 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:52:33.822639Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T19:06:04.778547Z

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 082fe0a0-a632-45cf-9e3d-2a13ef0c71e2 · inbound

MedGrad E-CLIP: Enhancing Trust and Transparency in AI-Driven Skin Lesion Diagnosis cites this paper.

MedGrad E-CLIP: Enhancing Trust and Transparency in AI-Driven Skin Lesion Diagnosis Improving Medical Multi-modal Contrastive Learning with Expert Annotations

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-10T20:52:33.822639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:52:33.822639Z digest=sha256:aa128f252cd8d621619dd7050c58166e2ef33532cd7080cd57f8c9b9c0716d47

Observation ea3d9052-b32b-4521-ad26-88a84d93dfe9 · inbound

A CNN-Transformer for Classification of Longitudinal 3D MRI Images -- A Case Study on Hepatocellular Carcinoma Prediction cites this paper.

A CNN-Transformer for Classification of Longitudinal 3D MRI Images -- A Case Study on Hepatocellular Carcinoma Prediction Improving Medical Multi-modal Contrastive Learning with Expert Annotations

Reference 15

Resolution
metadata mismatch
local_arxiv, observed 2026-08-10T19:06:04.784611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-10T19:06:04.138549Z digest=sha256:dbb388c41c6ddf8c4395001cb6e4d62969a8d9da63f89c884784fe0f6951204d