Paper Citation Record · LEDGER

Disentangling Shared and Task-Specific Representations from Multi-Modal Clinical Data

As of 4 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2605.03570.

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

pith.paper-citation-record.v1
2605.03570 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-07T16:58:23.275720Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+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

22 of 22 outbound references displayed

verified exact0
verified fuzzy22
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4b4ba91d-f2f3-4df7-8d33-114a5a12f328 · outbound

This paper cites Big data and machine learning algorithms for health-care delivery.

Disentangling Shared and Task-Specific Representations from Multi-Modal Clinical Data Big data and machine learning algorithms for health-care delivery

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T12:14:03.789116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation bd8eff2c-49d9-45d3-9855-41639c7541e5 · outbound

This paper cites Combining clinical notes with structured electronic health records enhances the prediction of mental health crises.

Disentangling Shared and Task-Specific Representations from Multi-Modal Clinical Data Combining clinical notes with structured electronic health records enhances the prediction of mental health crises

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T12:14:03.792155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 47f9f188-7ac9-4a62-bc2c-917a494b53e4 · outbound

This paper cites Artificial intelligence in surgery.

Disentangling Shared and Task-Specific Representations from Multi-Modal Clinical Data Artificial intelligence in surgery

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T12:14:03.797472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 112104c9-db0c-4705-9601-91a7734eba86 · outbound

This paper cites Multi-task learning for medical foundation models.

Disentangling Shared and Task-Specific Representations from Multi-Modal Clinical Data Multi-task learning for medical foundation models

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T12:14:03.801111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b1bcbbae-643d-43d1-ac4f-1c9d4a5d415d · outbound

This paper cites From static to dynamic: Artificial intelligence revolution in perioperative care through multimodal data fusion and closed-loop optimization.

Disentangling Shared and Task-Specific Representations from Multi-Modal Clinical Data From static to dynamic: Artificial intelligence revolution in perioperative care through multimodal data fusion and closed-loop optimization

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T12:14:03.803911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a4f401b5-229b-4640-92d3-80de1895e7e7 · outbound

This paper cites Multimodal deep learning for biomedical data fusion: a review.

Disentangling Shared and Task-Specific Representations from Multi-Modal Clinical Data Multimodal deep learning for biomedical data fusion: a review

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T12:14:03.743416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 96a14ecc-ffce-4a13-840c-7595316878f4 · outbound

This paper cites A survey on multi-task learning.

Disentangling Shared and Task-Specific Representations from Multi-Modal Clinical Data A survey on multi-task learning

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T12:14:03.745864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 90bed1a0-462d-4dfd-8b09-197f81d6d285 · outbound

This paper cites Cross-stitch Net- works for Multi-task Learning.

Disentangling Shared and Task-Specific Representations from Multi-Modal Clinical Data Cross-stitch Net- works for Multi-task Learning

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T12:14:03.748144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b60d3219-884d-4f1e-8942-00538994f04e · outbound

This paper cites Modeling task relationships in multi-task learning with multi-gate mixture-of- experts.

Disentangling Shared and Task-Specific Representations from Multi-Modal Clinical Data Modeling task relationships in multi-task learning with multi-gate mixture-of- experts

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T12:14:03.750626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation fab04e27-131b-4dd5-9f1a-d7f811279f71 · outbound

This paper cites Multi-task learning using uncer- tainty to weigh losses for scene geometry and semantics.

Disentangling Shared and Task-Specific Representations from Multi-Modal Clinical Data Multi-task learning using uncer- tainty to weigh losses for scene geometry and semantics

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T12:14:03.752964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 7c2b3028-631f-4e36-b95a-cc5f5f84cd56 · outbound

This paper cites Cohort profile: the China surgery and anesthesia cohort (CSAC).

Disentangling Shared and Task-Specific Representations from Multi-Modal Clinical Data Cohort profile: the China surgery and anesthesia cohort (CSAC)

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T12:14:03.755775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation cdd9db2a-983c-4e8b-8d27-533d3b59657c · outbound

This paper cites Jammer, N.

Disentangling Shared and Task-Specific Representations from Multi-Modal Clinical Data Jammer, N

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T12:14:03.758495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 757378d3-29f0-42d5-9c95-9c391f20af73 · outbound

This paper cites Attention is all you need.

Disentangling Shared and Task-Specific Representations from Multi-Modal Clinical Data Attention is all you need

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T12:14:03.740921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation f4cc9ffb-07b0-41cd-ac57-a525d18a2d1a · outbound

This paper cites BERT: Pre-training of deep bidirectional transformers for language understanding.

Disentangling Shared and Task-Specific Representations from Multi-Modal Clinical Data BERT: Pre-training of deep bidirectional transformers for language understanding

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T12:14:03.761572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 89efd8d3-e37b-4c9d-a873-fb5544432be5 · outbound

This paper cites Intraoperative hypotension and the risk of postoperative adverse outcomes: a systematic review.

Disentangling Shared and Task-Specific Representations from Multi-Modal Clinical Data Intraoperative hypotension and the risk of postoperative adverse outcomes: a systematic review

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T12:14:03.764385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1dda971a-ec65-4f61-9525-082d13a1bd9c · outbound

This paper cites Asymmetric loss for multi-label classification.

Disentangling Shared and Task-Specific Representations from Multi-Modal Clinical Data Asymmetric loss for multi-label classification

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T12:14:03.767708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 6e3c409e-e170-4457-8634-2ced195d8782 · outbound

This paper cites Pytorch: An im- perative style, high-performance deep learning library.

Disentangling Shared and Task-Specific Representations from Multi-Modal Clinical Data Pytorch: An im- perative style, high-performance deep learning library

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T12:14:03.770384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 3640cfd3-2d8f-4e06-8a63-1026f9af715a · outbound

This paper cites Decoupled Weight Decay Regularization.

Disentangling Shared and Task-Specific Representations from Multi-Modal Clinical Data Decoupled Weight Decay Regularization

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T12:14:03.773294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation f29decfa-6c66-48b5-a194-8a905da435e6 · outbound

This paper cites Lightgbm: A highly efficient gradient boosting decision tree.

Disentangling Shared and Task-Specific Representations from Multi-Modal Clinical Data Lightgbm: A highly efficient gradient boosting decision tree

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T12:14:03.776205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e754cf20-2337-4aa2-af48-3fb339b83f9b · outbound

This paper cites Xgboost: A scalable tree boosting system.

Disentangling Shared and Task-Specific Representations from Multi-Modal Clinical Data Xgboost: A scalable tree boosting system

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T12:14:03.779714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b8b61c2f-f7b0-4a47-a23d-de43f1917a85 · outbound

This paper cites Accurate predictions on small data with a tabular foundation model.

Disentangling Shared and Task-Specific Representations from Multi-Modal Clinical Data Accurate predictions on small data with a tabular foundation model

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T12:14:03.783028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 00e3acf8-c992-4d0d-94b9-0df4b6157220 · outbound

This paper cites Revisiting deep learning models for tabular data.

Disentangling Shared and Task-Specific Representations from Multi-Modal Clinical Data Revisiting deep learning models for tabular data

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T12:14:03.786507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Pith citing papers

No inbound Pith citation observations are available.