Paper Citation Record · LEDGER

EHR2Path: Comprehensive Pathway-Level Modeling of Longitudinal Patient Trajectories from Multimodal Electronic Health Records

As of 15 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 5 inbound Pith citation observations for arXiv:2506.04831.

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

pith.paper-citation-record.v1
2506.04831 v3

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:43:07.468962Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:42:40.840354Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T07:59:39.936905Z

Reference resolution

37 of 37 outbound references displayed

verified exact0
verified fuzzy24
unresolved13
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 31f33ba6-73b8-486c-912a-55d8540cbcfc · outbound

This paper cites Unsloth, 2023.

EHR2Path: Comprehensive Pathway-Level Modeling of Longitudinal Patient Trajectories from Multimodal Electronic Health Records Unsloth, 2023

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:43:07.856104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation da9b4ccf-c3ef-4aca-92f0-5f1c9f723209 · outbound

This paper cites Snomed ct standard ontology based on the ontology for general medical science.

EHR2Path: Comprehensive Pathway-Level Modeling of Longitudinal Patient Trajectories from Multimodal Electronic Health Records Snomed ct standard ontology based on the ontology for general medical science

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:43:07.845616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3df6d2b8-8018-4cfe-9260-2794b0b18a88 · outbound

This paper cites EHRMamba: Towards Generalizable and Scalable Foundation Models for Electronic Health Records.

EHR2Path: Comprehensive Pathway-Level Modeling of Longitudinal Patient Trajectories from Multimodal Electronic Health Records EHRMamba: Towards Generalizable and Scalable Foundation Models for Electronic Health Records

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T10:43:07.343695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3de89174-b2e9-4e85-b75c-d0351e3047ed · outbound

This paper cites Physiobank, physiotoolkit, and physionet: components of a new research resource for complex physiologic signals.

EHR2Path: Comprehensive Pathway-Level Modeling of Longitudinal Patient Trajectories from Multimodal Electronic Health Records Physiobank, physiotoolkit, and physionet: components of a new research resource for complex physiologic signals

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T10:43:07.348278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4568f5a6-390c-4509-8a65-15e1f91890a3 · outbound

This paper cites Lo RA : Low-rank adaptation of large language models.

EHR2Path: Comprehensive Pathway-Level Modeling of Longitudinal Patient Trajectories from Multimodal Electronic Health Records Lo RA : Low-rank adaptation of large language models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T10:43:07.351976Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 637ffca6-2add-46f6-98a2-87f6c2ff596e · outbound

This paper cites UniHPF : Universal Healthcare Predictive Framework with Zero Domain Knowledge.

EHR2Path: Comprehensive Pathway-Level Modeling of Longitudinal Patient Trajectories from Multimodal Electronic Health Records UniHPF : Universal Healthcare Predictive Framework with Zero Domain Knowledge

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T10:43:07.355662Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c72e2b7a-3bdf-49f1-b69a-7b7985130092 · outbound

This paper cites Genhpf: General healthcare predictive framework for multi-task multi-source learning.

EHR2Path: Comprehensive Pathway-Level Modeling of Longitudinal Patient Trajectories from Multimodal Electronic Health Records Genhpf: General healthcare predictive framework for multi-task multi-source learning

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:43:07.822623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 816a8dbb-5bf3-44c4-8989-829a0103e3c4 · outbound

This paper cites Mimic-iv (version 2.2).

EHR2Path: Comprehensive Pathway-Level Modeling of Longitudinal Patient Trajectories from Multimodal Electronic Health Records Mimic-iv (version 2.2)

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:43:07.812438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 65782a8a-b3cf-41b3-9e4b-a06fa0293d50 · outbound

This paper cites Mimic-iv-ed.

EHR2Path: Comprehensive Pathway-Level Modeling of Longitudinal Patient Trajectories from Multimodal Electronic Health Records Mimic-iv-ed

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:43:07.802058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 81fcf2b5-0387-4e1a-9350-a7fd4e2645c0 · outbound

This paper cites Mimic-iv, a freely accessible electronic health record dataset.

EHR2Path: Comprehensive Pathway-Level Modeling of Longitudinal Patient Trajectories from Multimodal Electronic Health Records Mimic-iv, a freely accessible electronic health record dataset

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:43:07.792349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7249b211-b27a-45fa-a4e9-8a13c2d2aced · outbound

This paper cites General-purpose retrieval-enhanced medical prediction model using near-infinite history.

EHR2Path: Comprehensive Pathway-Level Modeling of Longitudinal Patient Trajectories from Multimodal Electronic Health Records General-purpose retrieval-enhanced medical prediction model using near-infinite history

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:43:07.782177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3dbdce46-cf82-4f8a-8df6-6fddfa1aa926 · outbound

This paper cites Foresight—a generative pretrained transformer for modelling of patient timelines using electronic health records: a retrospective modelling study.

EHR2Path: Comprehensive Pathway-Level Modeling of Longitudinal Patient Trajectories from Multimodal Electronic Health Records Foresight—a generative pretrained transformer for modelling of patient timelines using electronic health records: a retrospective modelling study

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:43:07.770700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation edf82feb-87e0-45d8-8ea8-8f745e348c16 · outbound

This paper cites Emergency Department Decision Support using Clinical Pseudo-notes.

EHR2Path: Comprehensive Pathway-Level Modeling of Longitudinal Patient Trajectories from Multimodal Electronic Health Records Emergency Department Decision Support using Clinical Pseudo-notes

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T10:43:07.381552Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 226ea0c1-9f66-4994-9efd-49840631a800 · outbound

This paper cites Behrt: transformer for electronic health records.

EHR2Path: Comprehensive Pathway-Level Modeling of Longitudinal Patient Trajectories from Multimodal Electronic Health Records Behrt: transformer for electronic health records

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:43:07.760385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8664168e-678f-4e89-b80b-d340aad74367 · outbound

This paper cites Hi-behrt: hierarchical transformer-based model for accurate prediction of clinical events using multimodal longitudinal electronic health records.

EHR2Path: Comprehensive Pathway-Level Modeling of Longitudinal Patient Trajectories from Multimodal Electronic Health Records Hi-behrt: hierarchical transformer-based model for accurate prediction of clinical events using multimodal longitudinal electronic health records

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:43:07.750656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9f769901-c51a-4c6f-bc46-8f93261dda58 · outbound

This paper cites Revisiting the mimic-iv benchmark: Experiments using language models for electronic health records.

EHR2Path: Comprehensive Pathway-Level Modeling of Longitudinal Patient Trajectories from Multimodal Electronic Health Records Revisiting the mimic-iv benchmark: Experiments using language models for electronic health records

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:43:07.740861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7251cfcb-4f01-4b8a-aa6b-59a27842ca3a · outbound

This paper cites Large language models forecast patient health trajectories enabling digital twins.

EHR2Path: Comprehensive Pathway-Level Modeling of Longitudinal Patient Trajectories from Multimodal Electronic Health Records Large language models forecast patient health trajectories enabling digital twins

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:43:07.730259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8123ef4b-4fee-482f-86f4-625d6db6cbac · outbound

This paper cites A comprehensive ehr timeseries pre-training benchmark.

EHR2Path: Comprehensive Pathway-Level Modeling of Longitudinal Patient Trajectories from Multimodal Electronic Health Records A comprehensive ehr timeseries pre-training benchmark

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:43:07.719609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8b015592-34c7-49c2-b46f-36d00915faae · outbound

This paper cites Event stream gpt: a data pre-processing and modeling library for generative, pre-trained transformers over continuous-time sequences of complex events.

EHR2Path: Comprehensive Pathway-Level Modeling of Longitudinal Patient Trajectories from Multimodal Electronic Health Records Event stream gpt: a data pre-processing and modeling library for generative, pre-trained transformers over continuous-time sequences of complex events

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:43:07.709450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e5090340-03b9-4a48-9b23-788f8d82755b · outbound

This paper cites Cehr-bert: Incorporating temporal information from structured ehr data to improve prediction tasks.

EHR2Path: Comprehensive Pathway-Level Modeling of Longitudinal Patient Trajectories from Multimodal Electronic Health Records Cehr-bert: Incorporating temporal information from structured ehr data to improve prediction tasks

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:43:07.699096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b0c4495c-dd2a-4c6e-8863-1c6bd951cd3b · outbound

This paper cites CEHR-GPT: Generating Electronic Health Records with Chronological Patient Timelines.

EHR2Path: Comprehensive Pathway-Level Modeling of Longitudinal Patient Trajectories from Multimodal Electronic Health Records CEHR-GPT: Generating Electronic Health Records with Chronological Patient Timelines

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T10:43:07.409978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee216f72-493d-4298-b8ba-e98216761651 · outbound

This paper cites Unsupervised pre-training of graph transformers on patient population graphs.

EHR2Path: Comprehensive Pathway-Level Modeling of Longitudinal Patient Trajectories from Multimodal Electronic Health Records Unsupervised pre-training of graph transformers on patient population graphs

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:43:07.687768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation faacc7f9-f33d-4ea9-9f46-000e4612df5b · outbound

This paper cites Med-bert: pretrained contextualized embeddings on large-scale structured electronic health records for disease prediction.

EHR2Path: Comprehensive Pathway-Level Modeling of Longitudinal Patient Trajectories from Multimodal Electronic Health Records Med-bert: pretrained contextualized embeddings on large-scale structured electronic health records for disease prediction

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:43:07.676800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6ff53d2c-4f6c-4d99-ab56-e3bad6107a36 · outbound

This paper cites Zero shot health trajectory prediction using transformer.

EHR2Path: Comprehensive Pathway-Level Modeling of Longitudinal Patient Trajectories from Multimodal Electronic Health Records Zero shot health trajectory prediction using transformer

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:43:07.665907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8d993909-8edd-429c-ba8a-8e8a58a12361 · outbound

This paper cites Understanding patient pathways in the context of integrated health care services-implications from a scoping review.

EHR2Path: Comprehensive Pathway-Level Modeling of Longitudinal Patient Trajectories from Multimodal Electronic Health Records Understanding patient pathways in the context of integrated health care services-implications from a scoping review

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:43:07.654681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation cc2d1a00-6a5c-402d-9c44-b54f23d6e166 · outbound

This paper cites The international classification of diseases: ninth revision (icd-9), 1978.

EHR2Path: Comprehensive Pathway-Level Modeling of Longitudinal Patient Trajectories from Multimodal Electronic Health Records The international classification of diseases: ninth revision (icd-9), 1978

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:43:07.643319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation bda0ffb1-fc22-484f-826e-ebc78baf5817 · outbound

This paper cites MOTOR: A Time-To-Event Foundation Model For Structured Medical Records.

EHR2Path: Comprehensive Pathway-Level Modeling of Longitudinal Patient Trajectories from Multimodal Electronic Health Records MOTOR: A Time-To-Event Foundation Model For Structured Medical Records

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T10:43:07.431943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad5c40e5-b720-4d21-82ff-9f0ae2dc02bf · outbound

This paper cites Pereira, and William Bialek.

EHR2Path: Comprehensive Pathway-Level Modeling of Longitudinal Patient Trajectories from Multimodal Electronic Health Records Pereira, and William Bialek

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:43:07.632793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4d94e5e7-7337-4b82-a2fe-52b3878354c3 · outbound

This paper cites Attention is all you need.

EHR2Path: Comprehensive Pathway-Level Modeling of Longitudinal Patient Trajectories from Multimodal Electronic Health Records Attention is all you need

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T10:43:07.440017Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22adc4e7-de31-4706-8853-f2d2b6b9e528 · outbound

This paper cites Mimic-extract: A data extraction, preprocessing, and representation pipeline for mimic-iii.

EHR2Path: Comprehensive Pathway-Level Modeling of Longitudinal Patient Trajectories from Multimodal Electronic Health Records Mimic-extract: A data extraction, preprocessing, and representation pipeline for mimic-iii

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:43:07.616306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 90e199b4-9d67-4f38-bc98-9974fc6afe81 · outbound

This paper cites Ehrshot: An ehr benchmark for few-shot evaluation of foundation models.

EHR2Path: Comprehensive Pathway-Level Modeling of Longitudinal Patient Trajectories from Multimodal Electronic Health Records Ehrshot: An ehr benchmark for few-shot evaluation of foundation models

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:43:07.605120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 140c1bc3-3c94-4299-aa26-29a8139d85d0 · outbound

This paper cites Context Clues: Evaluating Long Context Models for Clinical Prediction Tasks on EHRs.

EHR2Path: Comprehensive Pathway-Level Modeling of Longitudinal Patient Trajectories from Multimodal Electronic Health Records Context Clues: Evaluating Long Context Models for Clinical Prediction Tasks on EHRs

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T10:43:07.450438Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e31e1e98-af17-49c0-89ee-1a7e04b49570 · outbound

This paper cites Qwen2 Technical Report.

EHR2Path: Comprehensive Pathway-Level Modeling of Longitudinal Patient Trajectories from Multimodal Electronic Health Records Qwen2 Technical Report

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T10:43:07.454178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca301dd1-60d6-4fde-85d9-b2fa83ffe0ae · outbound

This paper cites A large language model for electronic health records.

EHR2Path: Comprehensive Pathway-Level Modeling of Longitudinal Patient Trajectories from Multimodal Electronic Health Records A large language model for electronic health records

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:43:07.593288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c22be0b3-f03b-4611-82ea-c533712cfaa5 · outbound

This paper cites Transformehr: transformer-based encoder-decoder generative model to enhance prediction of disease outcomes using electronic health records.

EHR2Path: Comprehensive Pathway-Level Modeling of Longitudinal Patient Trajectories from Multimodal Electronic Health Records Transformehr: transformer-based encoder-decoder generative model to enhance prediction of disease outcomes using electronic health records

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T10:43:07.461797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ac36d82-2aea-44a3-b8ed-0370ed4bec60 · outbound

This paper cites EMERGE: Enhancing Multimodal Electronic Health Records Predictive Modeling with Retrieval-Augmented Generation.

EHR2Path: Comprehensive Pathway-Level Modeling of Longitudinal Patient Trajectories from Multimodal Electronic Health Records EMERGE: Enhancing Multimodal Electronic Health Records Predictive Modeling with Retrieval-Augmented Generation

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T10:43:07.465363Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1e0f273-70ad-4adc-97ed-bdf2083925e0 · outbound

This paper cites write newline.

EHR2Path: Comprehensive Pathway-Level Modeling of Longitudinal Patient Trajectories from Multimodal Electronic Health Records write newline

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T10:43:07.468962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 348a3473-8b1c-4366-8487-6a1e4194eadb · inbound

A Comprehensive Survey of Electronic Health Record Modeling: From Deep Learning Approaches to Large Language Models cites this paper.

A Comprehensive Survey of Electronic Health Record Modeling: From Deep Learning Approaches to Large Language Models EHR2Path: Comprehensive Pathway-Level Modeling of Longitudinal Patient Trajectories from Multimodal Electronic Health Records

Reference 221

Resolution: unresolved; no resolver link, observed 2026-08-06T16:42:40.840354Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19418c34-731f-4b95-9c78-b9fd3487e69e · inbound

A multimodal and temporal foundation model for virtual patient representations at healthcare system scale cites this paper.

A multimodal and temporal foundation model for virtual patient representations at healthcare system scale EHR2Path: Comprehensive Pathway-Level Modeling of Longitudinal Patient Trajectories from Multimodal Electronic Health Records

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-08-04T02:23:04.332198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 84473f2b-14d9-4d7f-8323-f92a32777b27 · inbound

EHR-RAGp: Retrieval-Augmented Prototype-Guided Foundation Model for Electronic Health Records cites this paper.

EHR-RAGp: Retrieval-Augmented Prototype-Guided Foundation Model for Electronic Health Records EHR2Path: Comprehensive Pathway-Level Modeling of Longitudinal Patient Trajectories from Multimodal Electronic Health Records

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-08-04T02:23:04.332198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 49c54621-187e-4184-821e-1d14d33774c4 · inbound

Traj-Evolve: A Self-Evolving Multi-Agent System for Patient Trajectory Modeling in Lung Cancer Early Detection cites this paper.

Traj-Evolve: A Self-Evolving Multi-Agent System for Patient Trajectory Modeling in Lung Cancer Early Detection EHR2Path: Comprehensive Pathway-Level Modeling of Longitudinal Patient Trajectories from Multimodal Electronic Health Records

Reference 29

Resolution: metadata mismatch; arxiv_id, observed 2026-08-04T02:23:04.332198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 991bc753-6a27-47df-a147-03cf1d676174 · inbound

OphthaDT: Generative Digital Twins for Forecasting Visual Acuity Trajectories in Ophthalmology cites this paper.

OphthaDT: Generative Digital Twins for Forecasting Visual Acuity Trajectories in Ophthalmology EHR2Path: Comprehensive Pathway-Level Modeling of Longitudinal Patient Trajectories from Multimodal Electronic Health Records

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-08-04T02:23:04.332198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.