Paper Citation Record · LEDGER

M-IDoL: Information Decomposition for Modality-Specific and Diverse Representation Learning in Medical Foundation Model

As of 23 July 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2604.08936.

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

pith.paper-citation-record.v1
2604.08936 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T17:18:05.539936Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-07-22T06:31:00.163083+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

26 of 26 outbound references displayed

verified exact7
verified fuzzy15
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch4

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e9ecb343-fe29-4a3a-91bb-4334f525eadc · outbound

This paper cites https://www.kaggle.com/datasets/ orvile/neh-ut-oct-dataset.

M-IDoL: Information Decomposition for Modality-Specific and Diverse Representation Learning in Medical Foundation Model https://www.kaggle.com/datasets/ orvile/neh-ut-oct-dataset

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:09:29.112637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 1a2cd02f-65b0-43a9-83cf-ead1135885a6 · outbound

This paper cites H., Pinto, U.

M-IDoL: Information Decomposition for Modality-Specific and Diverse Representation Learning in Medical Foundation Model H., Pinto, U

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:09:29.101046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 8e69c662-1f2c-479a-baf2-bfa69f288ff1 · outbound

This paper cites MedMoE: Modality-Specialized Mixture of Experts for Medical Vision-Language Understanding.

M-IDoL: Information Decomposition for Modality-Specific and Diverse Representation Learning in Medical Foundation Model MedMoE: Modality-Specialized Mixture of Experts for Medical Vision-Language Understanding

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T07:06:08.706047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation b857457f-8abb-423d-b750-4ff3ecfde436 · outbound

This paper cites Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted by the International Skin Imaging Collaboration (ISIC).

M-IDoL: Information Decomposition for Modality-Specific and Diverse Representation Learning in Medical Foundation Model Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted by the International Skin Imaging Collaboration (ISIC)

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-11T07:06:08.450133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 284eedf1-0e61-4718-9c78-66c5d1a6e248 · outbound

This paper cites C., Gutman, D., Celebi, M.

M-IDoL: Information Decomposition for Modality-Specific and Diverse Representation Learning in Medical Foundation Model C., Gutman, D., Celebi, M

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:09:29.103863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation c502b0a0-9ef3-41a6-86bd-f750fbaa31a3 · outbound

This paper cites Scaling self- supervised learning for histopathology with masked im- age modeling.MedRxiv, pp.

M-IDoL: Information Decomposition for Modality-Specific and Diverse Representation Learning in Medical Foundation Model Scaling self- supervised learning for histopathology with masked im- age modeling.MedRxiv, pp

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:09:29.085250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 21b5f050-ee8a-4ff8-b395-e719c32c9cf0 · outbound

This paper cites Skin Lesion Analysis toward Melanoma Detection: A Challenge at the International Symposium on Biomedical Imaging (ISBI) 2016, hosted by the International Skin Imaging Collaboration (ISIC).

M-IDoL: Information Decomposition for Modality-Specific and Diverse Representation Learning in Medical Foundation Model Skin Lesion Analysis toward Melanoma Detection: A Challenge at the International Symposium on Biomedical Imaging (ISBI) 2016, hosted by the International Skin Imaging Collaboration (ISIC)

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T07:06:08.866106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 2af057bd-f264-4563-aa4c-efb35865a7fd · outbound

This paper cites Learning deep representations by mutual information estimation and maximization.

M-IDoL: Information Decomposition for Modality-Specific and Diverse Representation Learning in Medical Foundation Model Learning deep representations by mutual information estimation and maximization

Reference 8

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T07:06:09.186692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 2789f863-0201-4217-be08-2b4b5bf47f95 · outbound

This paper cites MIMIC-CXR-JPG, a large publicly available database of labeled chest radiographs.

M-IDoL: Information Decomposition for Modality-Specific and Diverse Representation Learning in Medical Foundation Model MIMIC-CXR-JPG, a large publicly available database of labeled chest radiographs

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-17T04:16:17.195024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 8a8ffc35-5d7e-454f-954d-15455595750c · outbound

This paper cites Aptos 2019 blindness de- tection.

M-IDoL: Information Decomposition for Modality-Specific and Diverse Representation Learning in Medical Foundation Model Aptos 2019 blindness de- tection

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:09:29.081456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation fcca2682-e057-4caf-af74-c673ce5166ac · outbound

This paper cites UniMed-CLIP: Towards a Unified Image-Text Pretraining Paradigm for Diverse Medical Imaging Modalities.

M-IDoL: Information Decomposition for Modality-Specific and Diverse Representation Learning in Medical Foundation Model UniMed-CLIP: Towards a Unified Image-Text Pretraining Paradigm for Diverse Medical Imaging Modalities

Reference 11

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T07:06:08.919067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation edfe903c-04b4-479b-996a-d6c63c0e6f10 · outbound

This paper cites Kovalyk, O., Morales-S ´anchez, J., Verd ´u-Monedero, R., et al.

M-IDoL: Information Decomposition for Modality-Specific and Diverse Representation Learning in Medical Foundation Model Kovalyk, O., Morales-S ´anchez, J., Verd ´u-Monedero, R., et al

Reference 12

Resolution: verified exact; doi, observed 2026-05-10T17:20:38.426216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 37b2a3c7-1973-436c-95fb-6d0796dcd47b · outbound

This paper cites GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding.

M-IDoL: Information Decomposition for Modality-Specific and Diverse Representation Learning in Medical Foundation Model GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-05-11T07:06:09.065157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 49dc7587-0b89-41c2-9b17-9603df372ec8 · outbound

This paper cites Noise Contrastive Estimation and Negative Sampling for Conditional Models: Consistency and Statistical Efficiency.

M-IDoL: Information Decomposition for Modality-Specific and Diverse Representation Learning in Medical Foundation Model Noise Contrastive Estimation and Negative Sampling for Conditional Models: Consistency and Statistical Efficiency

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-11T07:06:09.106127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 646d7453-20fe-484d-a5df-a4bad5160456 · outbound

This paper cites K., Aktas, H.

M-IDoL: Information Decomposition for Modality-Specific and Diverse Representation Learning in Medical Foundation Model K., Aktas, H

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-11T07:06:08.497856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation a6c82268-bee7-4de0-837e-b6aa83bb4b39 · outbound

This paper cites On Mutual Information Maximization for Representation Learning.

M-IDoL: Information Decomposition for Modality-Specific and Diverse Representation Learning in Medical Foundation Model On Mutual Information Maximization for Representation Learning

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-11T07:06:08.616505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 6d5aa760-e6e1-4b55-a476-0ff27428858a · outbound

This paper cites Chestx-ray8: Hospital- scale chest x-ray database and benchmarks on weakly- supervised classification and localization of common tho- rax diseases.

M-IDoL: Information Decomposition for Modality-Specific and Diverse Representation Learning in Medical Foundation Model Chestx-ray8: Hospital- scale chest x-ray database and benchmarks on weakly- supervised classification and localization of common tho- rax diseases

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:09:29.106923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation fc9e57d5-0613-46d6-990e-014b9397c998 · outbound

This paper cites Images are categorized as glaucomatous, non-glaucomatous, or suspect, based on comprehensive clinical evaluation.

M-IDoL: Information Decomposition for Modality-Specific and Diverse Representation Learning in Medical Foundation Model Images are categorized as glaucomatous, non-glaucomatous, or suspect, based on comprehensive clinical evaluation

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:09:29.074790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 6db83e96-125f-43cf-a6df-afbb6e56bd94 · outbound

This paper cites an unresolved cited work.

M-IDoL: Information Decomposition for Modality-Specific and Diverse Representation Learning in Medical Foundation Model Unresolved cited work

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:09:29.070579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 034c2034-bd85-4350-9cb8-abea17ac3b37 · outbound

This paper cites Grand Challenge.

M-IDoL: Information Decomposition for Modality-Specific and Diverse Representation Learning in Medical Foundation Model Grand Challenge

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:09:29.067038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation e201985b-498b-4a0b-8a13-47a77b969425 · outbound

This paper cites We use all images for training, and evaluate on the 1,512 image test set provided by the ISIC 2018 challenge.

M-IDoL: Information Decomposition for Modality-Specific and Diverse Representation Learning in Medical Foundation Model We use all images for training, and evaluate on the 1,512 image test set provided by the ISIC 2018 challenge

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:09:29.095240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 19fe35af-f473-4435-9153-b01be55260c9 · outbound

This paper cites Architecture.The M-IDoL pre-training framework consists of two Swin Transformer-Base (Swin-B) visual encoders, namely a student encoder Sθ and a teacher encoder Tθ.

M-IDoL: Information Decomposition for Modality-Specific and Diverse Representation Learning in Medical Foundation Model Architecture.The M-IDoL pre-training framework consists of two Swin Transformer-Base (Swin-B) visual encoders, namely a student encoder Sθ and a teacher encoder Tθ

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:09:29.092033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 9506d8c9-18f4-44ca-99d2-e6d9c61f2938 · outbound

This paper cites an unresolved cited work.

M-IDoL: Information Decomposition for Modality-Specific and Diverse Representation Learning in Medical Foundation Model Unresolved cited work

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:09:29.088480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 0c296b08-c874-4724-856e-93a142562da9 · outbound

This paper cites an unresolved cited work.

M-IDoL: Information Decomposition for Modality-Specific and Diverse Representation Learning in Medical Foundation Model Unresolved cited work

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:09:29.097949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation d833635d-99ab-4ced-a257-4f83734e744b · outbound

This paper cites an unresolved cited work.

M-IDoL: Information Decomposition for Modality-Specific and Diverse Representation Learning in Medical Foundation Model Unresolved cited work

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:09:29.078140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 87338949-6de4-4e98-8868-4aa6c20a78e5 · outbound

This paper cites We include im- plementation code in https://github.com/LYH-hh/M-IDoL to demonstrate the reproducibility of M-IDoL.

M-IDoL: Information Decomposition for Modality-Specific and Diverse Representation Learning in Medical Foundation Model We include im- plementation code in https://github.com/LYH-hh/M-IDoL to demonstrate the reproducibility of M-IDoL

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:09:29.109815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Pith citing papers

No inbound Pith citation observations are available.