Paper Citation Record · LEDGER

MIND: Modality-Informed Knowledge Distillation Framework for Multimodal Clinical Prediction Tasks

As of 20 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2502.01158.

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

pith.paper-citation-record.v1
2502.01158 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T16:26:31.555787Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

25 of 25 outbound references displayed

verified exact1
verified fuzzy15
unresolved9
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 02f4649b-f481-4883-9c18-817aaae8fb07 · outbound

This paper cites MetaFed: Federated Learning among Federations with Cyclic Knowledge Distillation for Personalized Healthcare.

MIND: Modality-Informed Knowledge Distillation Framework for Multimodal Clinical Prediction Tasks MetaFed: Federated Learning among Federations with Cyclic Knowledge Distillation for Personalized Healthcare

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-09T16:26:31.473109Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37d2f7f6-b7d0-4bec-9b34-e1278cb981ec · outbound

This paper cites MedFuse: Multi-modal fusion with clinical time-series data and chest X-ray images.

MIND: Modality-Informed Knowledge Distillation Framework for Multimodal Clinical Prediction Tasks MedFuse: Multi-modal fusion with clinical time-series data and chest X-ray images

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-09T16:26:31.490816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0100c007-e3bc-45a8-8f9a-3b3d665c5470 · outbound

This paper cites Distilling the Knowledge in a Neural Network.

MIND: Modality-Informed Knowledge Distillation Framework for Multimodal Clinical Prediction Tasks Distilling the Knowledge in a Neural Network

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-09T16:26:31.495091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 702948b6-c16c-4e45-be02-0eb4817d8f0d · outbound

This paper cites Knowledge distillation from multi-modal to mono-modal segmentation networks.

MIND: Modality-Informed Knowledge Distillation Framework for Multimodal Clinical Prediction Tasks Knowledge distillation from multi-modal to mono-modal segmentation networks

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-09T16:26:31.498998Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18e4076b-6af3-4d61-866e-957adbb4baac · outbound

This paper cites Vertical federated knowledge transfer via representation distillation for healthcare collaboration networks.

MIND: Modality-Informed Knowledge Distillation Framework for Multimodal Clinical Prediction Tasks Vertical federated knowledge transfer via representation distillation for healthcare collaboration networks

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:26:31.878875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5f9c9918-fb7f-4143-b5f8-5b84c2ae4403 · outbound

This paper cites Enhancing chinesemulti-labeltextclassificationperformancewithresponse-basedknowledgedistillation.

MIND: Modality-Informed Knowledge Distillation Framework for Multimodal Clinical Prediction Tasks Enhancing chinesemulti-labeltextclassificationperformancewithresponse-basedknowledgedistillation

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-09T16:26:31.506931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3cfb8ef-9f43-4bcc-a66a-8b7abcbc8a29 · outbound

This paper cites Safenet: A secure, accurate and fast neural network inference.

MIND: Modality-Informed Knowledge Distillation Framework for Multimodal Clinical Prediction Tasks Safenet: A secure, accurate and fast neural network inference

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:26:31.863055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a786d48e-28df-422c-8688-c08637136864 · outbound

This paper cites Leukocyte classification using multimodal architecture enhanced by knowledge distillation.

MIND: Modality-Informed Knowledge Distillation Framework for Multimodal Clinical Prediction Tasks Leukocyte classification using multimodal architecture enhanced by knowledge distillation

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:26:31.852767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9a926b30-f20c-497f-b52b-0b25fd0010f6 · outbound

This paper cites For modality A, we use chest X-ray images (CXR) extracted from the MIMIC-CXR dataset (Johnson et al., 2019b).

MIND: Modality-Informed Knowledge Distillation Framework for Multimodal Clinical Prediction Tasks For modality A, we use chest X-ray images (CXR) extracted from the MIMIC-CXR dataset (Johnson et al., 2019b)

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:26:31.833442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1c2483db-7eeb-4383-b910-abbfffa8341a · outbound

This paper cites an unresolved cited work.

MIND: Modality-Informed Knowledge Distillation Framework for Multimodal Clinical Prediction Tasks Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-09T16:26:31.823752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 99ec5612-cd64-4593-bcb9-bd668776ab6c · outbound

This paper cites It is a typical multimodal architecture proposed for medical tasks, featuring two modality encoders: a ResNet-34 for CXR images and a 2-layer LSTM for time-series data.

MIND: Modality-Informed Knowledge Distillation Framework for Multimodal Clinical Prediction Tasks It is a typical multimodal architecture proposed for medical tasks, featuring two modality encoders: a ResNet-34 for CXR images and a 2-layer LSTM for time-series data

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:26:31.813905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 565c357f-6892-4b20-ad3d-8214f182dbb0 · outbound

This paper cites The prediction for a multimodal instance is obtained by weighting the predictions of an ensemble of unimodal models (one model per modality).

MIND: Modality-Informed Knowledge Distillation Framework for Multimodal Clinical Prediction Tasks The prediction for a multimodal instance is obtained by weighting the predictions of an ensemble of unimodal models (one model per modality)

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:26:31.803163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation dec11643-4697-4c2b-b66e-e2e57abc82fd · outbound

This paper cites B.2 Label-wise AUPRC performance Figure B1 compares the label-wise AUPRC performance of the MIND model with that of TS, the best baseline.

MIND: Modality-Informed Knowledge Distillation Framework for Multimodal Clinical Prediction Tasks B.2 Label-wise AUPRC performance Figure B1 compares the label-wise AUPRC performance of the MIND model with that of TS, the best baseline

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:26:31.792649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1e2e0554-adb8-47da-98d8-84df6c57a274 · outbound

This paper cites Comparison of AUPRC performance between the MIND model and the best baseline (TS) for each clinical condition label and group (acute, mixed, and chronic).

MIND: Modality-Informed Knowledge Distillation Framework for Multimodal Clinical Prediction Tasks Comparison of AUPRC performance between the MIND model and the best baseline (TS) for each clinical condition label and group (acute, mixed, and chronic)

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:26:31.781662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e5f29372-b437-44ae-9167-85b4cd5a87ac · outbound

This paper cites It includes 7,442 video clips from 91 actors, each speaking a selection of 12 sentences.

MIND: Modality-Informed Knowledge Distillation Framework for Multimodal Clinical Prediction Tasks It includes 7,442 video clips from 91 actors, each speaking a selection of 12 sentences

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:26:31.771199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9c694e70-45e2-41df-9b7b-5ce6d3e993b0 · outbound

This paper cites The image modality includes images from a 50-class subset of the CIFAR-10 and CIFAR-100 datasets, while the audio modality contains utterances of the class labels.

MIND: Modality-Informed Knowledge Distillation Framework for Multimodal Clinical Prediction Tasks The image modality includes images from a 50-class subset of the CIFAR-10 and CIFAR-100 datasets, while the audio modality contains utterances of the class labels

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:26:31.760545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation beb192f3-4616-4345-aa80-72cbd8fac1fe · outbound

This paper cites LUMA: A Benchmark Dataset for Learning from Uncertain and Multimodal Data.

MIND: Modality-Informed Knowledge Distillation Framework for Multimodal Clinical Prediction Tasks LUMA: A Benchmark Dataset for Learning from Uncertain and Multimodal Data

Reference 2012

Resolution: verified exact; local_arxiv, observed 2026-08-09T16:26:31.748398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f38d4340-d869-489c-aad6-20592904a9c0 · outbound

This paper cites A methodology for training homomorphic encryption friendly neural networks.

MIND: Modality-Informed Knowledge Distillation Framework for Multimodal Clinical Prediction Tasks A methodology for training homomorphic encryption friendly neural networks

Reference 2014

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:26:31.916025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e0cb5083-10b7-4feb-9abb-9f4892747267 · outbound

This paper cites MedFuse (Hayat et al.,.

MIND: Modality-Informed Knowledge Distillation Framework for Multimodal Clinical Prediction Tasks MedFuse (Hayat et al.,

Reference 2018

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:26:31.843287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation af2e73a3-b682-4690-ae76-425af8836b9b · outbound

This paper cites Unified and Effective Ensemble Knowledge Distillation.

MIND: Modality-Informed Knowledge Distillation Framework for Multimodal Clinical Prediction Tasks Unified and Effective Ensemble Knowledge Distillation

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-09T16:26:31.518583Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db3c3ebc-c0bf-43aa-aac4-017b3f05ea3a · outbound

This paper cites CRC press,.

MIND: Modality-Informed Knowledge Distillation Framework for Multimodal Clinical Prediction Tasks CRC press,

Reference 2020

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:26:31.895332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7ab9a8ec-5a1d-4fae-ab18-e64fa478a5b3 · outbound

This paper cites Ensemble knowledge distillation for learning improved and efficient networks.

MIND: Modality-Informed Knowledge Distillation Framework for Multimodal Clinical Prediction Tasks Ensemble knowledge distillation for learning improved and efficient networks

Reference 2021

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:26:31.926787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation cf98b701-997f-48be-85b9-26f30fa727b5 · outbound

This paper cites Enabling Multimodal Generation on CLIP via Vision-Language Knowledge Distillation.

MIND: Modality-Informed Knowledge Distillation Framework for Multimodal Clinical Prediction Tasks Enabling Multimodal Generation on CLIP via Vision-Language Knowledge Distillation

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-09T16:26:31.477167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d31a0518-fa2d-40b7-8940-0781d295ce1e · outbound

This paper cites Squeezebiobert: Biobert distillation for healthcare natural language processing.

MIND: Modality-Informed Knowledge Distillation Framework for Multimodal Clinical Prediction Tasks Squeezebiobert: Biobert distillation for healthcare natural language processing

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:26:31.905799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation df988e91-7927-41ee-8aa0-db4c04380d25 · outbound

This paper cites Alistair EW Johnson, Tom J Pollard, Seth J Berkowitz, Nathaniel R Greenbaum, Matthew P Lungren, Chih-ying Deng, Roger G Mark, and Steven Horng.

MIND: Modality-Informed Knowledge Distillation Framework for Multimodal Clinical Prediction Tasks Alistair EW Johnson, Tom J Pollard, Seth J Berkowitz, Nathaniel R Greenbaum, Matthew P Lungren, Chih-ying Deng, Roger G Mark, and Steven Horng

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-09T16:26:31.510843Z

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Unavailable: canonical work link unavailable.

Pith citing papers

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