Paper Citation Record · LEDGER

Autoregressive EHR Foundation Models with Multimodal Inputs

As of 10 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2607.22264.

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

pith.paper-citation-record.v1
2607.22264 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T05:20:35.075527Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

42 of 42 outbound references displayed

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unresolved42
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External citation measurements

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Outbound references

Observation cdd89efb-9a28-41f1-8a2d-b1a2dc496aca · outbound

This paper cites Layer Normalization.

Autoregressive EHR Foundation Models with Multimodal Inputs Layer Normalization

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-01T05:20:31.112351Z

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Observation 235f9d9e-a190-4130-b18e-c4d26644b56a · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , pages=.

Autoregressive EHR Foundation Models with Multimodal Inputs Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , pages=

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-01T05:20:31.169994Z

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Observation fe617a2e-aaaa-4366-996a-3afbe9cccbac · outbound

This paper cites Proceedings of the 39th International Conference on Machine Learning (ICML) , volume=.

Autoregressive EHR Foundation Models with Multimodal Inputs Proceedings of the 39th International Conference on Machine Learning (ICML) , volume=

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-01T05:20:31.261627Z

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Observation 632b069b-b0a5-4c3f-8980-7bb322c2c98f · outbound

This paper cites Proceedings of the 39th International Conference on Machine Learning (ICML) , pages=.

Autoregressive EHR Foundation Models with Multimodal Inputs Proceedings of the 39th International Conference on Machine Learning (ICML) , pages=

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-01T05:20:31.333036Z

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Observation 1ccbe544-f5ba-49c2-9a05-7dbc4f11060a · outbound

This paper cites Proceedings of the 38th International Conference on Machine Learning , series =.

Autoregressive EHR Foundation Models with Multimodal Inputs Proceedings of the 38th International Conference on Machine Learning , series =

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-01T05:20:31.399522Z

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Observation b3b7976b-03cd-4290-9947-809e0825674a · outbound

This paper cites Advances in Neural Information Processing Systems , editor=.

Autoregressive EHR Foundation Models with Multimodal Inputs Advances in Neural Information Processing Systems , editor=

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T05:20:31.544994Z

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Observation 0f4057d9-408e-4543-a04e-2f9ac581a054 · outbound

This paper cites 2020 , eprint =.

Autoregressive EHR Foundation Models with Multimodal Inputs 2020 , eprint =

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T05:20:31.604209Z

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Observation ce5cb528-cf20-4bdb-9f02-c1b91d7a0e6d · outbound

This paper cites Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) , year =.

Autoregressive EHR Foundation Models with Multimodal Inputs Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) , year =

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T05:20:31.668513Z

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Observation 57798d9c-030d-44b7-90c0-fd122fda1cfc · outbound

This paper cites OpenAI Technical Report , year =.

Autoregressive EHR Foundation Models with Multimodal Inputs OpenAI Technical Report , year =

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T05:20:31.719171Z

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Observation 55965b17-796d-4584-89aa-39e5bedfe90a · outbound

This paper cites Workshop on Time Series Learning for Health (TS4H) at ICLR , year =.

Autoregressive EHR Foundation Models with Multimodal Inputs Workshop on Time Series Learning for Health (TS4H) at ICLR , year =

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T05:20:31.786721Z

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Observation 984d9e28-3705-4d0d-9d2b-cd59e6b7dab7 · outbound

This paper cites npj Digital Medicine , year =.

Autoregressive EHR Foundation Models with Multimodal Inputs npj Digital Medicine , year =

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T05:20:31.844604Z

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Observation c416a91a-a670-49b5-bf5f-d9f5d77d4f18 · outbound

This paper cites 2024 , publisher =.

Autoregressive EHR Foundation Models with Multimodal Inputs 2024 , publisher =

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T05:20:31.914300Z

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Observation 48bf518a-d7d2-4059-bd50-a8509e60b5c7 · outbound

This paper cites 2023 , publisher =.

Autoregressive EHR Foundation Models with Multimodal Inputs 2023 , publisher =

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T05:20:31.965764Z

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Observation 7a747df1-26f4-4014-98fe-ffed9b8e5acd · outbound

This paper cites Circulation , year =.

Autoregressive EHR Foundation Models with Multimodal Inputs Circulation , year =

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T05:20:32.021364Z

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Observation 6d993622-2a41-4aed-a26d-de935c8080a0 · outbound

This paper cites Advances in neural information processing systems , volume=.

Autoregressive EHR Foundation Models with Multimodal Inputs Advances in neural information processing systems , volume=

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-01T05:20:32.126748Z

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Observation 29291ba2-5415-460b-bb18-44a79d73da26 · outbound

This paper cites JAMIA open , volume=.

Autoregressive EHR Foundation Models with Multimodal Inputs JAMIA open , volume=

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-01T05:20:32.243504Z

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Observation fbc13d2c-8460-4c58-80f3-07a1741e6baa · outbound

This paper cites Nature Machine Intelligence , volume=.

Autoregressive EHR Foundation Models with Multimodal Inputs Nature Machine Intelligence , volume=

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-01T05:20:32.340952Z

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Observation 6b7130f9-b676-4a26-89fe-a27799615ab4 · outbound

This paper cites Nature medicine , volume=.

Autoregressive EHR Foundation Models with Multimodal Inputs Nature medicine , volume=

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-01T05:20:32.469924Z

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Observation d635d96c-9045-4482-a4e4-1461e9cd57a3 · outbound

This paper cites Journal of biomedical informatics , volume=.

Autoregressive EHR Foundation Models with Multimodal Inputs Journal of biomedical informatics , volume=

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-01T05:20:32.610454Z

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Observation 8b9e5ab6-c0c8-437f-91ff-ee6a9eae6fe3 · outbound

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Autoregressive EHR Foundation Models with Multimodal Inputs Heliyon , volume=

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-01T05:20:32.723740Z

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Observation 605c2ab8-661a-4b0a-8984-73a4ba207586 · outbound

This paper cites Journal of the American Medical Informatics Association , volume=.

Autoregressive EHR Foundation Models with Multimodal Inputs Journal of the American Medical Informatics Association , volume=

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-01T05:20:32.780588Z

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Observation 0dad6799-1245-4f84-9f8d-e5b6a909e808 · outbound

This paper cites MedPatch: Confidence-Guided Multi-Stage Fusion for Multimodal Clinical Data.

Autoregressive EHR Foundation Models with Multimodal Inputs MedPatch: Confidence-Guided Multi-Stage Fusion for Multimodal Clinical Data

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-01T05:20:32.832313Z

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Observation a02c5335-8dae-40f2-b1f0-0f9e5a83e2c5 · outbound

This paper cites Authorea Preprints , year=.

Autoregressive EHR Foundation Models with Multimodal Inputs Authorea Preprints , year=

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-01T05:20:32.883828Z

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Observation 5b05691b-eec6-444b-8e5a-d4bf25d9ac85 · outbound

This paper cites Machine Learning for Health , pages=.

Autoregressive EHR Foundation Models with Multimodal Inputs Machine Learning for Health , pages=

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-01T05:20:32.942725Z

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Observation 0be05faf-7f61-4f67-828b-ff1f97501742 · outbound

This paper cites Artificial Intelligence in Medicine , volume=.

Autoregressive EHR Foundation Models with Multimodal Inputs Artificial Intelligence in Medicine , volume=

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-01T05:20:33.049778Z

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Observation 8709c27d-3978-48ac-9a94-3ba01a5f826b · outbound

This paper cites Briefings in bioinformatics , volume=.

Autoregressive EHR Foundation Models with Multimodal Inputs Briefings in bioinformatics , volume=

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-01T05:20:33.174051Z

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Observation e1fbdaa9-9861-43d3-b4cc-21c70082d6e5 · outbound

This paper cites Scientific Reports , volume=.

Autoregressive EHR Foundation Models with Multimodal Inputs Scientific Reports , volume=

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-01T05:20:33.294464Z

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Observation 16f88545-1bd4-490f-a82a-9fcf1653685c · outbound

This paper cites Modality-Agnostic Input Channels Enable Segmentation of Brain lesions in Multimodal MRI with Sequences Unavailable During Training.

Autoregressive EHR Foundation Models with Multimodal Inputs Modality-Agnostic Input Channels Enable Segmentation of Brain lesions in Multimodal MRI with Sequences Unavailable During Training

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-01T05:20:33.413708Z

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Observation 045a46ae-8275-482d-934c-47121622fe36 · outbound

This paper cites Machine Learning for Health (ML4H) , pages=.

Autoregressive EHR Foundation Models with Multimodal Inputs Machine Learning for Health (ML4H) , pages=

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-01T05:20:33.530720Z

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Observation 83af2e64-bec9-4d99-89d3-79b4531c43b6 · outbound

This paper cites Nejm Ai , volume=.

Autoregressive EHR Foundation Models with Multimodal Inputs Nejm Ai , volume=

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-01T05:20:33.646731Z

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Observation fa9e36c4-a1ca-443b-972a-17e222e6bd09 · outbound

This paper cites arXiv preprint arXiv:2510.23639 , year=.

Autoregressive EHR Foundation Models with Multimodal Inputs arXiv preprint arXiv:2510.23639 , year=

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-01T05:20:33.744686Z

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Observation e085ff2c-0398-4a93-aa91-9940bea9c5d4 · outbound

This paper cites Lingshu: A Generalist Foundation Model for Unified Multimodal Medical Understanding and Reasoning.

Autoregressive EHR Foundation Models with Multimodal Inputs Lingshu: A Generalist Foundation Model for Unified Multimodal Medical Understanding and Reasoning

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-01T05:20:33.810526Z

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Observation 24c82977-e739-4a87-8f11-fa34fba57ce0 · outbound

This paper cites Yet Another ICU Benchmark: A Flexible Multi-Center Framework for Clinical ML.

Autoregressive EHR Foundation Models with Multimodal Inputs Yet Another ICU Benchmark: A Flexible Multi-Center Framework for Clinical ML

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-01T05:20:33.874750Z

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Observation e19290bc-a845-466a-bb63-d089b6f968f3 · outbound

This paper cites Scientific reports , volume=.

Autoregressive EHR Foundation Models with Multimodal Inputs Scientific reports , volume=

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-01T05:20:33.928005Z

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Observation 10099941-bb25-4dba-8523-0bd4f0a3bc13 · outbound

This paper cites arXiv preprint arXiv:2508.12104 , year=.

Autoregressive EHR Foundation Models with Multimodal Inputs arXiv preprint arXiv:2508.12104 , year=

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-01T05:20:33.991457Z

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Observation 4d3cc7db-0ab0-48a0-ad54-0906663d786f · outbound

This paper cites Exploring Scaling Laws for EHR Foundation Models.

Autoregressive EHR Foundation Models with Multimodal Inputs Exploring Scaling Laws for EHR Foundation Models

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-01T05:20:34.097912Z

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Observation 8c92d405-327c-41d6-bb3b-7f9572a4d3c0 · outbound

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Autoregressive EHR Foundation Models with Multimodal Inputs Advances in Neural Information Processing Systems , volume=

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-01T05:20:34.275223Z

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Observation 89307e27-5e05-4f42-bccc-275a8aa0fabe · outbound

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Autoregressive EHR Foundation Models with Multimodal Inputs Type: dataset , volume=

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-01T05:20:34.459705Z

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Observation 2c7c6aed-9d97-43ee-a5c2-9ec889cc5996 · outbound

This paper cites MIMIC-CXR-JPG, a large publicly available database of labeled chest radiographs.

Autoregressive EHR Foundation Models with Multimodal Inputs MIMIC-CXR-JPG, a large publicly available database of labeled chest radiographs

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-01T05:20:34.638452Z

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Observation b0876ce6-2ac3-4467-aa02-6ce7648970f1 · outbound

This paper cites PhysioNet , author=.

Autoregressive EHR Foundation Models with Multimodal Inputs PhysioNet , author=

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-01T05:20:34.785646Z

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Observation fedf2872-79b4-4732-bcd3-09fa6f5858a8 · outbound

This paper cites BiomedCLIP: a multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairs.

Autoregressive EHR Foundation Models with Multimodal Inputs BiomedCLIP: a multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairs

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-01T05:20:34.931628Z

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Observation 7b2f67e6-5dd4-4681-82f7-7c302062b368 · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , pages=.

Autoregressive EHR Foundation Models with Multimodal Inputs Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , pages=

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-01T05:20:35.075527Z

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Pith citing papers

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