Paper Citation Record · LEDGER

Transfusion: Understanding Transfer Learning for Medical Imaging

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:1902.07208.

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

pith.paper-citation-record.v1
1902.07208 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:11:23.118124Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T00:09:14.322858Z

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 92a0d036-d29d-435d-87db-59c0cd58d148 · inbound

A Large-scale Study of Representation Learning with the Visual Task Adaptation Benchmark cites this paper.

A Large-scale Study of Representation Learning with the Visual Task Adaptation Benchmark Transfusion: Understanding Transfer Learning for Medical Imaging

Reference 12

Resolution: metadata mismatch; arxiv_id, observed 2026-05-17T22:12:05.805082Z

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.

Observation c9eda23f-85d7-4214-9fbf-d8eee4bbd540 · inbound

Vision Transformers Need Registers cites this paper.

Vision Transformers Need Registers Transfusion: Understanding Transfer Learning for Medical Imaging

Reference 238

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T09:41:38.100813Z

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.

Observation b1ebc927-42a9-45b3-ad14-aebbddae2501 · inbound

Geometric Embedding Alignment via Curvature Matching in Transfer Learning cites this paper.

Geometric Embedding Alignment via Curvature Matching in Transfer Learning Transfusion: Understanding Transfer Learning for Medical Imaging

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-19T09:12:14.318686Z

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.

Observation 8e100eb0-f28d-4589-9fec-18de01fe0d87 · inbound

XAI-Guided Analysis of Residual Networks for Interpretable Pneumonia Detection in Paediatric Chest X-rays cites this paper.

XAI-Guided Analysis of Residual Networks for Interpretable Pneumonia Detection in Paediatric Chest X-rays Transfusion: Understanding Transfer Learning for Medical Imaging

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T16:11:23.118124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2cc4cd58-25d2-4ba5-8326-5ac1ee2c1c3e · inbound

Intuitions of Machine Learning Researchers about Transfer Learning for Medical Image Classification cites this paper.

Intuitions of Machine Learning Researchers about Transfer Learning for Medical Image Classification Transfusion: Understanding Transfer Learning for Medical Imaging

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-04T13:23:46.384953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef8888b0-e3d5-4fb1-ad5f-d8b318c9d460 · inbound

Fine-Tuning Regimes Define Distinct Continual Learning Problems cites this paper.

Fine-Tuning Regimes Define Distinct Continual Learning Problems Transfusion: Understanding Transfer Learning for Medical Imaging

Reference 16

Resolution: metadata mismatch; arxiv_id, observed 2026-05-09T23:04:17.763466Z

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.

Observation bb948d4c-e5fb-4921-8846-d325e86dfbac · inbound

Fine-Tuning Regimes Define Distinct Continual Learning Problems cites this paper.

Fine-Tuning Regimes Define Distinct Continual Learning Problems Transfusion: Understanding Transfer Learning for Medical Imaging

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-12T18:36:06.754809Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f75446c7-b494-40c0-bba2-f134a6afd2b7 · inbound

PEFT-MedSAM: Efficient Fine-Tuning of Medical Foundation Models for Explainable Skin Lesion Segmentation cites this paper.

PEFT-MedSAM: Efficient Fine-Tuning of Medical Foundation Models for Explainable Skin Lesion Segmentation Transfusion: Understanding Transfer Learning for Medical Imaging

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-07-04T00:09:14.325219Z

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.