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Paper Citation Record · LEDGER

LLM4EHR: Aligning Clinical Time Series with Medical Event Sequences via Large Language Models

As of 17 August 2026, this Paper Citation Record lists 64 of 64 outbound references and 0 inbound Pith citation observations for arXiv:2607.15447.

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

pith.paper-citation-record.v1
2607.15447 v1

Coverage vector

measured 64 of 64 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T23:23:33.098369Z

measured 64 of 64 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

64 of 64 outbound references displayed

  • verified exact3
  • verified fuzzy0
  • unresolved60
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f705ce92-8d33-46a4-bb54-37e6337a4039 · outbound

This paper cites Ghassemi, T.

LLM4EHR: Aligning Clinical Time Series with Medical Event Sequences via Large Language Models Ghassemi, T

Reference 1

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Observation 4cc99fea-5f0a-4e98-b227-869073f64b8e · outbound

This paper cites an unresolved cited work.

LLM4EHR: Aligning Clinical Time Series with Medical Event Sequences via Large Language Models Unresolved cited work

Reference 2

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Observation e142b4be-6354-4dcb-b559-a1ddf65976c7 · outbound

This paper cites an unresolved cited work.

LLM4EHR: Aligning Clinical Time Series with Medical Event Sequences via Large Language Models Unresolved cited work

Reference 3

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Observation f6c99bc6-b9c6-4e22-92cb-1874efc9e004 · outbound

This paper cites Cheng, F.

LLM4EHR: Aligning Clinical Time Series with Medical Event Sequences via Large Language Models Cheng, F

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation ee88454c-56b8-49a7-8886-ef72588ac314 · outbound

This paper cites an unresolved cited work.

LLM4EHR: Aligning Clinical Time Series with Medical Event Sequences via Large Language Models Unresolved cited work

Reference 5

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Observation d955ee75-39ef-461d-a968-208179a214d9 · outbound

This paper cites an unresolved cited work.

LLM4EHR: Aligning Clinical Time Series with Medical Event Sequences via Large Language Models Unresolved cited work

Reference 6

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Observation 5c3f2f97-5278-4eb7-86b6-6a58d6b445bd · outbound

This paper cites : Preprint submitted to Elsevier Page 12 of 16.

LLM4EHR: Aligning Clinical Time Series with Medical Event Sequences via Large Language Models : Preprint submitted to Elsevier Page 12 of 16

Reference 7

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Observation a29e9a23-1792-4a40-9c84-de561c1b0a23 · outbound

This paper cites an unresolved cited work.

LLM4EHR: Aligning Clinical Time Series with Medical Event Sequences via Large Language Models Unresolved cited work

Reference 8

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Observation efd3456e-27b9-406b-ae0c-de8f4b4e0f4f · outbound

This paper cites an unresolved cited work.

LLM4EHR: Aligning Clinical Time Series with Medical Event Sequences via Large Language Models Unresolved cited work

Reference 9

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Observation caf3a7f5-b194-4a9f-ab1f-25b265b59375 · outbound

This paper cites Wornow, Y.

LLM4EHR: Aligning Clinical Time Series with Medical Event Sequences via Large Language Models Wornow, Y

Reference 10

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Observation d3c394f2-d78c-4837-b5d1-77a94bedb312 · outbound

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LLM4EHR: Aligning Clinical Time Series with Medical Event Sequences via Large Language Models Unresolved cited work

Reference 11

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Observation 06019209-a8fc-40f8-8f3a-196be788954a · outbound

This paper cites Rasmy, Y.

LLM4EHR: Aligning Clinical Time Series with Medical Event Sequences via Large Language Models Rasmy, Y

Reference 12

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Observation bbcadf37-4fbb-4e5c-9931-f34f62fe3b31 · outbound

This paper cites an unresolved cited work.

LLM4EHR: Aligning Clinical Time Series with Medical Event Sequences via Large Language Models Unresolved cited work

Reference 13

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Observation c3beee5e-a074-4379-88fe-056e92e04ba2 · outbound

This paper cites Kraljevic, D.

LLM4EHR: Aligning Clinical Time Series with Medical Event Sequences via Large Language Models Kraljevic, D

Reference 14

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Observation 41366e72-df23-4aa3-9967-e90f7e485e54 · outbound

This paper cites Chang, W.-Y.

LLM4EHR: Aligning Clinical Time Series with Medical Event Sequences via Large Language Models Chang, W.-Y

Reference 15

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Observation 3921de25-970d-465e-8969-bea8fe4348e5 · outbound

This paper cites an unresolved cited work.

LLM4EHR: Aligning Clinical Time Series with Medical Event Sequences via Large Language Models Unresolved cited work

Reference 16

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Observation 5c6c17fa-0d0e-45a8-9834-62f4480d9253 · outbound

This paper cites an unresolved cited work.

LLM4EHR: Aligning Clinical Time Series with Medical Event Sequences via Large Language Models Unresolved cited work

Reference 17

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Observation 6c08e228-7b8d-4f82-9a4e-d71a7f624562 · outbound

This paper cites MedTsLLM: Leveraging LLMs for Multimodal Medical Time Series Analysis.

LLM4EHR: Aligning Clinical Time Series with Medical Event Sequences via Large Language Models MedTsLLM: Leveraging LLMs for Multimodal Medical Time Series Analysis

Reference 18

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Observation 5454122e-97b3-4978-ae35-5f03364bf9ac · outbound

This paper cites an unresolved cited work.

LLM4EHR: Aligning Clinical Time Series with Medical Event Sequences via Large Language Models Unresolved cited work

Reference 19

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Observation 78f36a95-2639-47ec-ba27-99958a424bb5 · outbound

This paper cites Kline, H.

LLM4EHR: Aligning Clinical Time Series with Medical Event Sequences via Large Language Models Kline, H

Reference 20

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Observation 2450de0c-0979-463e-adb8-e45448a4aaf7 · outbound

This paper cites Representation Learning with Contrastive Predictive Coding.

LLM4EHR: Aligning Clinical Time Series with Medical Event Sequences via Large Language Models Representation Learning with Contrastive Predictive Coding

Reference 21

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Observation dc6a678d-b44b-48aa-89f3-51fae0c19ddc · outbound

This paper cites an unresolved cited work.

LLM4EHR: Aligning Clinical Time Series with Medical Event Sequences via Large Language Models Unresolved cited work

Reference 22

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Observation fec42878-4591-4d3d-9a95-d6d73b9bfa9a · outbound

This paper cites an unresolved cited work.

LLM4EHR: Aligning Clinical Time Series with Medical Event Sequences via Large Language Models Unresolved cited work

Reference 23

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Observation 2b0e8f4d-71a1-4f97-8e1c-9e3e69f4d05c · outbound

This paper cites Zheng, F.

LLM4EHR: Aligning Clinical Time Series with Medical Event Sequences via Large Language Models Zheng, F

Reference 24

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Observation 9156a140-afbd-4d66-9f5b-716c817b974a · outbound

This paper cites an unresolved cited work.

LLM4EHR: Aligning Clinical Time Series with Medical Event Sequences via Large Language Models Unresolved cited work

Reference 25

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Observation bee7b0ab-17de-4acc-81a5-6d608e1eb37b · outbound

This paper cites MedGPT: Medical Concept Prediction from Clinical Narratives.

LLM4EHR: Aligning Clinical Time Series with Medical Event Sequences via Large Language Models MedGPT: Medical Concept Prediction from Clinical Narratives

Reference 26

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Observation 8201d57d-75ff-4b54-b947-112f697351d6 · outbound

This paper cites Cascella, J.

LLM4EHR: Aligning Clinical Time Series with Medical Event Sequences via Large Language Models Cascella, J

Reference 27

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Observation 41750a65-b593-4a7c-8c15-731cb8decc6a · outbound

This paper cites McDermott, Publicly available clinical BERT embeddings, in: A.

LLM4EHR: Aligning Clinical Time Series with Medical Event Sequences via Large Language Models McDermott, Publicly available clinical BERT embeddings, in: A

Reference 28

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Observation 36b54fa4-984f-4ac9-86e8-4cf8589120d8 · outbound

This paper cites an unresolved cited work.

LLM4EHR: Aligning Clinical Time Series with Medical Event Sequences via Large Language Models Unresolved cited work

Reference 29

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Observation 64dad9ce-23d1-4464-b901-724e15488a3d · outbound

This paper cites an unresolved cited work.

LLM4EHR: Aligning Clinical Time Series with Medical Event Sequences via Large Language Models Unresolved cited work

Reference 30

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Observation 45ed92f2-60ef-4dff-9883-6c7ae7b21e6d · outbound

This paper cites A Time Series is Worth 64 Words: Long-term Forecasting with Transformers.

LLM4EHR: Aligning Clinical Time Series with Medical Event Sequences via Large Language Models A Time Series is Worth 64 Words: Long-term Forecasting with Transformers

Reference 31

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Observation 28aaad16-4ea1-44fd-a282-d92e083a5e25 · outbound

This paper cites Ekambaram, A.

LLM4EHR: Aligning Clinical Time Series with Medical Event Sequences via Large Language Models Ekambaram, A

Reference 32

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Observation 02849bb4-8d6e-4e53-aaec-2d43782b6897 · outbound

This paper cites Vaswani, N.

LLM4EHR: Aligning Clinical Time Series with Medical Event Sequences via Large Language Models Vaswani, N

Reference 33

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Observation 395ecb24-6230-4c8f-b603-c5e03242d3b0 · outbound

This paper cites Event-Based Contrastive Learning for Medical Time Series.

LLM4EHR: Aligning Clinical Time Series with Medical Event Sequences via Large Language Models Event-Based Contrastive Learning for Medical Time Series

Reference 34

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Observation c91eb1e1-6abf-444b-8a89-dd0d4add5a72 · outbound

This paper cites Kiyasseh, T.

LLM4EHR: Aligning Clinical Time Series with Medical Event Sequences via Large Language Models Kiyasseh, T

Reference 35

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Observation 87939332-c83e-4ae8-be42-4b40d5b12a5b · outbound

This paper cites Le Gall, P.

LLM4EHR: Aligning Clinical Time Series with Medical Event Sequences via Large Language Models Le Gall, P

Reference 36

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Observation 911182b0-023f-47a8-9db3-c1d869bd4db0 · outbound

This paper cites an unresolved cited work.

LLM4EHR: Aligning Clinical Time Series with Medical Event Sequences via Large Language Models Unresolved cited work

Reference 37

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Observation 9f01ef71-d73e-4943-97ed-9aa7bd39d776 · outbound

This paper cites meds_reader: A fast and efficient EHR processing library.

LLM4EHR: Aligning Clinical Time Series with Medical Event Sequences via Large Language Models meds_reader: A fast and efficient EHR processing library

Reference 38

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Observation 72292947-8635-486d-b3aa-de7f3100319f · outbound

This paper cites an unresolved cited work.

LLM4EHR: Aligning Clinical Time Series with Medical Event Sequences via Large Language Models Unresolved cited work

Reference 39

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Observation 8ba37c2d-7b53-4f81-ba6e-ba13d247c363 · outbound

This paper cites an unresolved cited work.

LLM4EHR: Aligning Clinical Time Series with Medical Event Sequences via Large Language Models Unresolved cited work

Reference 40

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Observation c11e9c4a-8a4f-47b5-a197-0e68d8ec8514 · outbound

This paper cites an unresolved cited work.

LLM4EHR: Aligning Clinical Time Series with Medical Event Sequences via Large Language Models Unresolved cited work

Reference 41

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation cabc170c-71c0-41bd-a60f-28f9e438fb2c · outbound

This paper cites Revisiting Word Embeddings in the LLM Era.

LLM4EHR: Aligning Clinical Time Series with Medical Event Sequences via Large Language Models Revisiting Word Embeddings in the LLM Era

Reference 42

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source=pdf_text observed=2026-08-01T23:23:30.441241Z digest=sha256:cfe739b4ee4e2a8a6fb65b71653f3d07480b7128816985b668883b227123659e

Observation 85973e6b-1d3e-4d64-98b9-fd29c7abfab8 · outbound

This paper cites BioClinical ModernBERT: A State-of-the-Art Long-Context Encoder for Biomedical and Clinical NLP.

LLM4EHR: Aligning Clinical Time Series with Medical Event Sequences via Large Language Models BioClinical ModernBERT: A State-of-the-Art Long-Context Encoder for Biomedical and Clinical NLP

Reference 43

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source=pdf_text observed=2026-08-01T23:23:30.590471Z digest=sha256:9458e3e350e896a8f031f4899a2193a9c0122880c953e236124db7aeef9c1348

Observation 4e3cb105-c07e-4ea3-8ea9-e617f6c6c507 · outbound

This paper cites Warner, A.

LLM4EHR: Aligning Clinical Time Series with Medical Event Sequences via Large Language Models Warner, A

Reference 44

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source=pdf_text observed=2026-08-01T23:23:30.665452Z digest=sha256:e5395d846ed189e0972450b8c679ccf223ef8f893380b7421d6a3bf76465ef16

Observation 165db1c4-cf27-415e-a057-46453b45342a · outbound

This paper cites Adam: A Method for Stochastic Optimization.

LLM4EHR: Aligning Clinical Time Series with Medical Event Sequences via Large Language Models Adam: A Method for Stochastic Optimization

Reference 45

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source=pdf_text observed=2026-08-01T23:23:30.782266Z digest=sha256:2561e5f7fa2dc9586b71e26b25caa2fd2bc1500586bd257b2aa800d9df09dff3

Observation e5a9043b-be45-4527-ac24-aed3a79c4e43 · outbound

This paper cites an unresolved cited work.

LLM4EHR: Aligning Clinical Time Series with Medical Event Sequences via Large Language Models Unresolved cited work

Reference 46

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source=pdf_text observed=2026-08-01T23:23:30.918795Z digest=sha256:a998b18125401d23e27cb659e39683967a518d7178b250001cd82114e85ecc6e

Observation 1b1a8262-0b4d-483a-b29a-68a9cd1d58a3 · outbound

This paper cites Silva, G.

LLM4EHR: Aligning Clinical Time Series with Medical Event Sequences via Large Language Models Silva, G

Reference 47

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source=pdf_text observed=2026-08-01T23:23:31.099524Z digest=sha256:f62e3c89b3492e61d0a115f07d0a2539e3017846cb54a41f384b8531ba2c010d

Observation c9404cae-0795-4154-bcd8-45fb341e5259 · outbound

This paper cites Learning to Diagnose with LSTM Recurrent Neural Networks.

LLM4EHR: Aligning Clinical Time Series with Medical Event Sequences via Large Language Models Learning to Diagnose with LSTM Recurrent Neural Networks

Reference 48

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no resolver link, observed 2026-08-01T23:23:31.204407Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-01T23:23:31.204407Z digest=sha256:719906b6aaa23b68094e415ac67e0f5b1fe51976bfd9a7ea3d9a3ae620cfedd8

Observation 64e7e7b1-7fa5-4bc0-8e79-d43b0d68be2e · outbound

This paper cites an unresolved cited work.

LLM4EHR: Aligning Clinical Time Series with Medical Event Sequences via Large Language Models Unresolved cited work

Reference 49

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source=pdf_text observed=2026-08-01T23:23:31.325586Z digest=sha256:87e1ad42131ee245a7673e2c7b97eda7154774a1545d2d0065df2e38921251d5

Observation 97e23787-b279-4fa7-a143-f8bcddd8f3e5 · outbound

This paper cites PyTorch: An Imperative Style, High-Performance Deep Learning Library.

LLM4EHR: Aligning Clinical Time Series with Medical Event Sequences via Large Language Models PyTorch: An Imperative Style, High-Performance Deep Learning Library

Reference 50

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source=pdf_text observed=2026-08-01T23:23:31.440369Z digest=sha256:bda986a232fffbb46c66501e72f4b7f94e293e18f967ae56802aab09ebbbdf40

Observation f83d7428-4531-443b-bb6e-42c09b985fe0 · outbound

This paper cites an unresolved cited work.

LLM4EHR: Aligning Clinical Time Series with Medical Event Sequences via Large Language Models Unresolved cited work

Reference 51

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source=pdf_text observed=2026-08-01T23:23:31.549248Z digest=sha256:c00ddd6815de7f9aa6677719eb0a2a30d4541526b9d6fcbfa21f58acdec0d9b4

Observation 7a05d1f3-e3dc-4961-9f79-fe1c5ed13a1b · outbound

This paper cites an unresolved cited work.

LLM4EHR: Aligning Clinical Time Series with Medical Event Sequences via Large Language Models Unresolved cited work

Reference 52

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source=pdf_text observed=2026-08-01T23:23:31.659994Z digest=sha256:0ab6a4ee301000fd06610a2000570f7e24ae451e4db9a9f2c637d1dd93265dc0

Observation 84ecb740-1530-48ba-839b-3fbee032281c · outbound

This paper cites an unresolved cited work.

LLM4EHR: Aligning Clinical Time Series with Medical Event Sequences via Large Language Models Unresolved cited work

Reference 53

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source=pdf_text observed=2026-08-01T23:23:31.776447Z digest=sha256:a49b1e9ac056e5e24a7aab9625082746ad01212ca07c92a51eb99498d3d2ce79

Observation 8783e6a6-d44a-4cf1-93d3-ffd1f53bc3c2 · outbound

This paper cites an unresolved cited work.

LLM4EHR: Aligning Clinical Time Series with Medical Event Sequences via Large Language Models Unresolved cited work

Reference 54

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source=pdf_text observed=2026-08-01T23:23:31.938199Z digest=sha256:5a15532c9ad0f1afede9246f0a0d58aab1243f159897b3fbbfb19b8957b19440

Observation 16188dc1-2905-4fa3-98b6-d6822d66a0d5 · outbound

This paper cites Lambden, P.

LLM4EHR: Aligning Clinical Time Series with Medical Event Sequences via Large Language Models Lambden, P

Reference 55

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source=pdf_text observed=2026-08-01T23:23:32.057278Z digest=sha256:41a3411669512281e1a4cfa195c1970c4e844d56dd1b24344dd4bf5e167f5955

Observation 9a76c29a-887e-45ee-8514-e39c6273e45f · outbound

This paper cites Hempel, S.

LLM4EHR: Aligning Clinical Time Series with Medical Event Sequences via Large Language Models Hempel, S

Reference 56

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source=pdf_text observed=2026-08-01T23:23:32.190573Z digest=sha256:f7fe198638d869962758b4de64f33bf87ba713cf674aa333ca6c2c2cd7955707

Observation ec230154-fd8f-468d-a5d4-c43d99295f36 · outbound

This paper cites Clinical-Longformer and Clinical-BigBird: Transformers for long clinical sequences.

LLM4EHR: Aligning Clinical Time Series with Medical Event Sequences via Large Language Models Clinical-Longformer and Clinical-BigBird: Transformers for long clinical sequences

Reference 57

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source=pdf_text observed=2026-08-01T23:23:32.342553Z digest=sha256:d4a401c25a7d1d41ecc2b6118660b449bf23c5d1afc2d273b244757485790b64

Observation db828631-3269-498c-877a-7b190685510e · outbound

This paper cites Gururangan, A.

LLM4EHR: Aligning Clinical Time Series with Medical Event Sequences via Large Language Models Gururangan, A

Reference 58

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source=pdf_text observed=2026-08-01T23:23:32.486630Z digest=sha256:a356a54bcc55662aef917b8259db6c2d0e59b5f115c9854a7cb48a698f556be9

Observation 6b75f650-c533-464d-8738-c18d50b229d7 · outbound

This paper cites Longformer: The Long-Document Transformer.

LLM4EHR: Aligning Clinical Time Series with Medical Event Sequences via Large Language Models Longformer: The Long-Document Transformer

Reference 59

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source=pdf_text observed=2026-08-01T23:23:32.625948Z digest=sha256:7258b2ba41aa0a2925b83852f0237a5193ea67f3629f7d8f9cc48fb5d63fc512

Observation 5afe3394-7792-463d-bfd6-88dc79b53c1c · outbound

This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

LLM4EHR: Aligning Clinical Time Series with Medical Event Sequences via Large Language Models RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 60

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source=pdf_text observed=2026-08-01T23:23:32.794816Z digest=sha256:bcf7114757a812126ded3644d74d51c2dc2b806f8f236145177b615a70c717d4

Observation 7dd4d151-2eb5-4002-b61e-f892ba7fc598 · outbound

This paper cites Davidson-Pilon, lifelines: survival analysis in python, Journal of Open Source Software 4 (2019) 1317.

LLM4EHR: Aligning Clinical Time Series with Medical Event Sequences via Large Language Models Davidson-Pilon, lifelines: survival analysis in python, Journal of Open Source Software 4 (2019) 1317

Reference 61

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source=pdf_text observed=2026-08-01T23:23:32.899687Z digest=sha256:99bc9fb942dc0de4c05567cb0555656f755caa6f4572430495ac5ee1cb2a744a

Observation 1eb1dcbb-cb21-43b0-beaf-2cd833e3d01e · outbound

This paper cites : Preprint submitted to Elsevier Page 14 of 16 A.

LLM4EHR: Aligning Clinical Time Series with Medical Event Sequences via Large Language Models : Preprint submitted to Elsevier Page 14 of 16 A

Reference 62

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source=pdf_text observed=2026-08-01T23:23:33.011127Z digest=sha256:9fc4e235ea028e8d34293b2524a1b3f63e023cd87e3737120afecd1d94591762

Observation c66d71bd-44d2-4f86-ab5d-404c78bbb659 · outbound

This paper cites Specifically, we computed SOFA score hourly using the worst measurements over the past 24 hour window.

LLM4EHR: Aligning Clinical Time Series with Medical Event Sequences via Large Language Models Specifically, we computed SOFA score hourly using the worst measurements over the past 24 hour window

Reference 64

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no resolver link, observed 2026-08-01T23:23:33.098369Z

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source=pdf_text observed=2026-08-01T23:23:33.098369Z digest=sha256:1b6b293138824744f15c87d6c43a96e677b8b440ec7d8b07acf533d800aa3ffa

Observation d1a7f31d-3f43-4994-b4c4-1efb6a76a4fc · outbound

This paper cites doi:10.18653/v1/2025.findings-acl.352.

LLM4EHR: Aligning Clinical Time Series with Medical Event Sequences via Large Language Models doi:10.18653/v1/2025.findings-acl.352

Reference 6799

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verified exact
doi, observed 2026-08-01T23:28:37.065500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-01T23:23:30.227815Z digest=sha256:e820d2191064754ab85e2154ccd4eb57ba482230a4a8026eaff8964b8698ea30

Pith citing papers

No inbound Pith citation observations are available.