Paper Citation Record · LEDGER

Scaling Recurrence-aware Foundation Models for Clinical Records via Next-Visit Prediction

As of 5 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 2 inbound Pith citation observations for arXiv:2603.24562.

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

pith.paper-citation-record.v1
2603.24562 v2

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-15T00:21:24.939539Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-10T15:12:19.320406Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-11T11:11:06.183558Z

Reference resolution

35 of 35 outbound references displayed

verified exact8
verified fuzzy10
unresolved16
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 222421bf-eb7e-4bdf-bf0c-d14ffad987ad · outbound

This paper cites & Dell’Agnello, G.

Scaling Recurrence-aware Foundation Models for Clinical Records via Next-Visit Prediction & Dell’Agnello, G

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T11:20:30.631789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a9fc1669-2a8d-4e43-af73-6fe11b6b8fd3 · outbound

This paper cites an unresolved cited work.

Scaling Recurrence-aware Foundation Models for Clinical Records via Next-Visit Prediction Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-05-15T11:20:30.628705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 6f7ea41d-b55e-4864-ab29-e54e6ee75716 · outbound

This paper cites an unresolved cited work.

Scaling Recurrence-aware Foundation Models for Clinical Records via Next-Visit Prediction Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-05-15T11:20:30.604614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d5f6d655-bf73-440d-b939-fa85da854110 · outbound

This paper cites an unresolved cited work.

Scaling Recurrence-aware Foundation Models for Clinical Records via Next-Visit Prediction Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-05-15T11:20:30.611182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a16d3b93-684b-4f2e-affe-bcb323094a33 · outbound

This paper cites H.et al.Use of ehrs data for clinical research: historical progress and current applications.

Scaling Recurrence-aware Foundation Models for Clinical Records via Next-Visit Prediction H.et al.Use of ehrs data for clinical research: historical progress and current applications

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T11:20:30.614040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 8fdb706f-51aa-4bc3-8081-94976b69a4c6 · outbound

This paper cites an unresolved cited work.

Scaling Recurrence-aware Foundation Models for Clinical Records via Next-Visit Prediction Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-05-15T11:20:30.602207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f0a5a945-8967-4890-bdc0-4e46120087bb · outbound

This paper cites & Sun, J.

Scaling Recurrence-aware Foundation Models for Clinical Records via Next-Visit Prediction & Sun, J

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T11:20:30.617344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 3ecc9806-b603-400d-8cd3-ef416a7d6468 · outbound

This paper cites J., Bihorac, A.

Scaling Recurrence-aware Foundation Models for Clinical Records via Next-Visit Prediction J., Bihorac, A

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T11:20:30.607560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 98a2b480-d8c5-4bb7-a05a-b22e11b2ad63 · outbound

This paper cites an unresolved cited work.

Scaling Recurrence-aware Foundation Models for Clinical Records via Next-Visit Prediction Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-05-15T11:20:30.599429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f44b076b-ea5d-4ab4-834e-7c6e04c5fc43 · outbound

This paper cites an unresolved cited work.

Scaling Recurrence-aware Foundation Models for Clinical Records via Next-Visit Prediction Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-05-15T11:20:30.634919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 1efee798-869c-4d1f-8737-fccbe8d066a4 · outbound

This paper cites CEHR-XGPT: A Scalable Multi-Task Foundation Model for Electronic Health Records.

Scaling Recurrence-aware Foundation Models for Clinical Records via Next-Visit Prediction CEHR-XGPT: A Scalable Multi-Task Foundation Model for Electronic Health Records

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-15T00:23:22.777040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e589221a-37e7-4473-aa59-2ce803bad8f7 · outbound

This paper cites InMachine Learning for Health, 239–260 (PMLR, 2021).

Scaling Recurrence-aware Foundation Models for Clinical Records via Next-Visit Prediction InMachine Learning for Health, 239–260 (PMLR, 2021)

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T11:20:30.625006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d3388ae2-d3bd-400c-9edf-cc8d5218d84e · outbound

This paper cites an unresolved cited work.

Scaling Recurrence-aware Foundation Models for Clinical Records via Next-Visit Prediction Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-05-15T11:20:30.620391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 381b1e12-d36e-43ab-9791-74ff53e549ad · outbound

This paper cites & Kohane, I.

Scaling Recurrence-aware Foundation Models for Clinical Records via Next-Visit Prediction & Kohane, I

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T11:20:30.596068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 900117b0-3274-47e7-ab67-2ef26396fcc6 · outbound

This paper cites Generative medical event models improve with scale.

Scaling Recurrence-aware Foundation Models for Clinical Records via Next-Visit Prediction Generative medical event models improve with scale

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-15T00:23:22.782841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a5db7127-55fb-4a0d-8a67-880d44019a0f · outbound

This paper cites Foresight -- Generative Pretrained Transformer (GPT) for Modelling of Patient Timelines using EHRs.

Scaling Recurrence-aware Foundation Models for Clinical Records via Next-Visit Prediction Foresight -- Generative Pretrained Transformer (GPT) for Modelling of Patient Timelines using EHRs

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-15T00:23:22.771568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 3f8e1d3c-84ff-4d37-b0c5-808766022343 · outbound

This paper cites Training Compute-Optimal Large Language Models.

Scaling Recurrence-aware Foundation Models for Clinical Records via Next-Visit Prediction Training Compute-Optimal Large Language Models

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-05-15T00:23:22.774271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d0d18516-ddd6-4ff7-877a-b0850207c5c3 · outbound

This paper cites Exploring Scaling Laws for EHR Foundation Models.

Scaling Recurrence-aware Foundation Models for Clinical Records via Next-Visit Prediction Exploring Scaling Laws for EHR Foundation Models

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-15T00:23:22.779929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 16d1fe22-7365-4642-be4f-800fcb50248d · outbound

This paper cites an unresolved cited work.

Scaling Recurrence-aware Foundation Models for Clinical Records via Next-Visit Prediction Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-05-15T11:20:30.556250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 0d9e4bde-13c1-4de8-98ff-9e6a5b7dc7ef · outbound

This paper cites arXiv preprint arXiv:2509.14786 , year=.

Scaling Recurrence-aware Foundation Models for Clinical Records via Next-Visit Prediction arXiv preprint arXiv:2509.14786 , year=

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-15T00:23:22.762421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 40fd7357-44c6-457e-b8b8-c04f804f5ed8 · outbound

This paper cites MedGemma Technical Report.

Scaling Recurrence-aware Foundation Models for Clinical Records via Next-Visit Prediction MedGemma Technical Report

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-05-15T00:23:22.765749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 0dfa8654-548d-4eea-b681-105f6c7930b2 · outbound

This paper cites an unresolved cited work.

Scaling Recurrence-aware Foundation Models for Clinical Records via Next-Visit Prediction Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-05-15T11:20:30.580254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c65735d0-6a71-41c0-a689-8cc8fa36fc8d · outbound

This paper cites an unresolved cited work.

Scaling Recurrence-aware Foundation Models for Clinical Records via Next-Visit Prediction Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-05-15T11:20:30.573082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 149189b6-a1b2-422a-a202-37e842117878 · outbound

This paper cites an unresolved cited work.

Scaling Recurrence-aware Foundation Models for Clinical Records via Next-Visit Prediction Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-05-15T11:20:30.566345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 57ef527c-ac38-4a78-bf32-c943a9960870 · outbound

This paper cites 29.Radford, A.et al.Language models are unsupervised multitask learners.OpenAI blog1, 9 (2019).

Scaling Recurrence-aware Foundation Models for Clinical Records via Next-Visit Prediction 29.Radford, A.et al.Language models are unsupervised multitask learners.OpenAI blog1, 9 (2019)

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T11:20:30.593534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 7646de23-cb59-420f-87c3-13ce7b144758 · outbound

This paper cites an unresolved cited work.

Scaling Recurrence-aware Foundation Models for Clinical Records via Next-Visit Prediction Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-05-15T11:20:30.576521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 344bc952-f2c2-4e2a-87fa-684fd1737c16 · outbound

This paper cites an unresolved cited work.

Scaling Recurrence-aware Foundation Models for Clinical Records via Next-Visit Prediction Unresolved cited work

Reference 27

Resolution: unresolved; raw_fallback, observed 2026-05-15T11:20:30.562960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 4b969b0d-58b4-4e9d-ac11-d4924b9407d6 · outbound

This paper cites Efficient Sequence Packing without Cross-contamination: Accelerating Large Language Models without Impacting Performance.

Scaling Recurrence-aware Foundation Models for Clinical Records via Next-Visit Prediction Efficient Sequence Packing without Cross-contamination: Accelerating Large Language Models without Impacting Performance

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-15T00:23:22.768881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 72bbdd7a-e572-4a6e-bea4-4d96fc5fad41 · outbound

This paper cites an unresolved cited work.

Scaling Recurrence-aware Foundation Models for Clinical Records via Next-Visit Prediction Unresolved cited work

Reference 29

Resolution: unresolved; raw_fallback, observed 2026-05-15T11:20:30.586752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 69f86d1d-5535-4f6f-8d2e-03894f6e8a36 · outbound

This paper cites new onset.

Scaling Recurrence-aware Foundation Models for Clinical Records via Next-Visit Prediction new onset

Reference 30

Resolution: malformed identifier; raw_fallback, observed 2026-05-15T11:20:30.559787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation dcd31f69-e43f-40a7-b97e-409024d7183c · outbound

This paper cites an unresolved cited work.

Scaling Recurrence-aware Foundation Models for Clinical Records via Next-Visit Prediction Unresolved cited work

Reference 31

Resolution: unresolved; raw_fallback, observed 2026-05-15T11:20:30.590179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f18fb749-afde-4f14-ac08-05f933a6ac38 · outbound

This paper cites <PATIENT_ID>.

Scaling Recurrence-aware Foundation Models for Clinical Records via Next-Visit Prediction <PATIENT_ID>

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T11:20:30.583594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 7b3a012d-970f-475b-a72b-f55c54ec3eb2 · outbound

This paper cites confidence.

Scaling Recurrence-aware Foundation Models for Clinical Records via Next-Visit Prediction confidence

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T11:20:30.552345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 113e66a0-9145-4022-9503-cc579be69a46 · outbound

This paper cites an unresolved cited work.

Scaling Recurrence-aware Foundation Models for Clinical Records via Next-Visit Prediction Unresolved cited work

Reference 34

Resolution: unresolved; raw_fallback, observed 2026-05-15T11:20:30.569809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 1bc48d8b-5b4b-4b63-b8d8-bd79bc3b015a · outbound

This paper cites Heart Attack.

Scaling Recurrence-aware Foundation Models for Clinical Records via Next-Visit Prediction Heart Attack

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T11:20:30.549225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Pith citing papers

Observation 0501fbe2-479d-4b6a-8c59-6f32444d50d7 · inbound

FlatASCEND: Autoregressive Clinical Sequence Generation with Continuous Time Prediction and Association-Based Pharmacological Testing cites this paper.

FlatASCEND: Autoregressive Clinical Sequence Generation with Continuous Time Prediction and Association-Based Pharmacological Testing Scaling Recurrence-aware Foundation Models for Clinical Records via Next-Visit Prediction

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-05-11T11:01:05.433389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 31789362-a5f2-4126-b6dc-c9b0b3f7b2de · inbound

Sparse Autoencoder Decomposition of Clinical Sequence Model Representations: Feature Complexity, Task Specialisation, and Mortality Prediction cites this paper.

Sparse Autoencoder Decomposition of Clinical Sequence Model Representations: Feature Complexity, Task Specialisation, and Mortality Prediction Scaling Recurrence-aware Foundation Models for Clinical Records via Next-Visit Prediction

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-05-11T11:11:06.186684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.