Paper Citation Record · LEDGER

Foundation Model of Electronic Medical Records for Adaptive Risk Estimation

As of 9 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 1 inbound Pith citation observation for arXiv:2502.06124.

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

pith.paper-citation-record.v1
2502.06124 v4

Coverage vector

measured 51 of 51 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T16:45:31.901869Z

measured 52 of 52 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T11:22:59.515031Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T11:22:59.635565Z

Reference resolution

51 of 51 outbound references displayed

verified exact14
verified fuzzy18
unresolved18
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 494c5ea4-0826-45da-8d81-aa23ae620c21 · outbound

This paper cites National Health Expenditure Data: Historical.

Foundation Model of Electronic Medical Records for Adaptive Risk Estimation National Health Expenditure Data: Historical

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:45:33.054562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a11fc40e-a816-4905-9924-db5677d95e67 · outbound

This paper cites Health Care from a Global Perspective, 2022: Accelerating Spending, Worsening Outcomes.

Foundation Model of Electronic Medical Records for Adaptive Risk Estimation Health Care from a Global Perspective, 2022: Accelerating Spending, Worsening Outcomes

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:45:33.038959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 45a2ef0a-2873-4c0c-9f0a-fd799821d9e0 · outbound

This paper cites Hospital-based emergency care: at the breaking point.

Foundation Model of Electronic Medical Records for Adaptive Risk Estimation Hospital-based emergency care: at the breaking point

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:45:33.018578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ce4dbdad-c14f-4f00-82b9-ccac89acdcef · outbound

This paper cites Managing emergency department crowding through improved triaging and resource allocation.

Foundation Model of Electronic Medical Records for Adaptive Risk Estimation Managing emergency department crowding through improved triaging and resource allocation

Reference 4

Resolution: verified exact; doi, observed 2026-08-08T16:45:32.283314Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9ee0ac9a-781a-4a86-8f2d-6ec7931f5b0f · outbound

This paper cites Modified early warning score-based clinical decision support: cost impact and clinical outcomes in sepsis.

Foundation Model of Electronic Medical Records for Adaptive Risk Estimation Modified early warning score-based clinical decision support: cost impact and clinical outcomes in sepsis

Reference 5

Resolution: verified exact; doi, observed 2026-08-08T16:45:32.266657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f4634dd8-8640-4b94-9d23-1f957657ef01 · outbound

This paper cites Prospective, multi-site study of patient outcomes after implementation of the TREWS machine learning-based early warning system for sepsis.

Foundation Model of Electronic Medical Records for Adaptive Risk Estimation Prospective, multi-site study of patient outcomes after implementation of the TREWS machine learning-based early warning system for sepsis

Reference 6

Resolution: verified exact; doi, observed 2026-08-08T16:45:32.250712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7614a719-b6e2-4a17-80d8-bea2506a3b21 · outbound

This paper cites Early warning scores with and without artificial intelligence.

Foundation Model of Electronic Medical Records for Adaptive Risk Estimation Early warning scores with and without artificial intelligence

Reference 7

Resolution: verified exact; raw_fallback, observed 2026-08-08T16:45:32.727576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 776c8c88-f4d0-44a4-8ffc-2d4bd53c2c71 · outbound

This paper cites Early warning scores for detecting deterioration in adult hospital patients: systematic review and critical appraisal of methodology.

Foundation Model of Electronic Medical Records for Adaptive Risk Estimation Early warning scores for detecting deterioration in adult hospital patients: systematic review and critical appraisal of methodology

Reference 8

Resolution: verified exact; doi, observed 2026-08-08T16:45:32.233003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ca440269-cec3-4e8b-8a67-104e5f307dc3 · outbound

This paper cites The impact of a machine learning early warning score on hospital mortality: A multicenter clinical intervention trial.

Foundation Model of Electronic Medical Records for Adaptive Risk Estimation The impact of a machine learning early warning score on hospital mortality: A multicenter clinical intervention trial

Reference 9

Resolution: verified exact; doi, observed 2026-08-08T16:45:32.216055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 76ff7298-12b3-42ff-9414-1239e9166439 · outbound

This paper cites Automated identification of adults at risk for in-hospital clinical deterioration.

Foundation Model of Electronic Medical Records for Adaptive Risk Estimation Automated identification of adults at risk for in-hospital clinical deterioration

Reference 10

Resolution: verified exact; doi, observed 2026-08-08T16:45:32.199203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 901b25de-b0f7-4d75-bb8f-b25708f837ea · outbound

This paper cites External validation and comparison of a general ward deterioration index between diversely different health systems.

Foundation Model of Electronic Medical Records for Adaptive Risk Estimation External validation and comparison of a general ward deterioration index between diversely different health systems

Reference 11

Resolution: malformed identifier; raw_fallback, observed 2026-08-08T16:45:33.003600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 62124cb6-b06f-4e45-bfd4-0a1b71bd07ea · outbound

This paper cites The National Early Warning Score: from concept to NHS implementation.

Foundation Model of Electronic Medical Records for Adaptive Risk Estimation The National Early Warning Score: from concept to NHS implementation

Reference 12

Resolution: verified exact; doi, observed 2026-08-08T16:45:32.182153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b8651c87-fdb5-4646-89c9-8a51e87dc781 · outbound

This paper cites Validation of a modified Early Warning Score in medical admissions.

Foundation Model of Electronic Medical Records for Adaptive Risk Estimation Validation of a modified Early Warning Score in medical admissions

Reference 13

Resolution: verified exact; doi, observed 2026-08-08T16:45:32.164934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3ee71916-232d-4dbb-afff-4395b425d934 · outbound

This paper cites Attention is all you need.

Foundation Model of Electronic Medical Records for Adaptive Risk Estimation Attention is all you need

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:45:32.988193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7c875877-444d-48a5-9541-5c8daab77bb7 · outbound

This paper cites Zero shot health trajectory prediction using transformer.

Foundation Model of Electronic Medical Records for Adaptive Risk Estimation Zero shot health trajectory prediction using transformer

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-08T16:45:31.721481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9c09f0d-8e46-4654-b8af-19fddd0216a8 · outbound

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

Foundation Model of Electronic Medical Records for Adaptive Risk Estimation TransformEHR: transformer-based encoder-decoder generative model to enhance prediction of disease outcomes using electronic health records

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-08T16:45:31.726077Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 805bcbb4-1dec-42ca-b7f5-84ec10c35d1e · outbound

This paper cites Hi-BEHRT: Hierarchical Transformer-Based Model for Accurate Prediction of Clinical Events Using Multimodal Longitudinal Electronic Health Records.

Foundation Model of Electronic Medical Records for Adaptive Risk Estimation Hi-BEHRT: Hierarchical Transformer-Based Model for Accurate Prediction of Clinical Events Using Multimodal Longitudinal Electronic Health Records

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-08T16:45:31.730834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dbe21686-f371-478b-8a2c-9a45d0cf0e9f · outbound

This paper cites Large language models surpass human experts in predicting neuroscience results.

Foundation Model of Electronic Medical Records for Adaptive Risk Estimation Large language models surpass human experts in predicting neuroscience results

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-08T16:45:31.735626Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6333543-4fe3-43f7-974a-635c4c71eec7 · outbound

This paper cites Large language models in medicine.

Foundation Model of Electronic Medical Records for Adaptive Risk Estimation Large language models in medicine

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-08T16:45:31.740286Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b668853-2516-45ae-8aee-e20d290dd43b · outbound

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

Foundation Model of Electronic Medical Records for Adaptive Risk Estimation Foresight-a generative pretrained transformer for modelling of patient timelines using electronic health records: a retrospective modelling study

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-08T16:45:31.745283Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52005348-d56b-43ee-b26d-3cc7b7cc804f · 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.

Foundation Model of Electronic Medical Records for Adaptive Risk Estimation Event Stream GPT: A Data Pre-processing and Modeling Library for Generative, Pre-trained Transformers over Continuous-time Sequences of Complex Events

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-08T16:45:31.749992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b3d40c0-262c-45a7-9e11-bbbd7d54c39e · outbound

This paper cites MOTOR: A time-to-event foundation model for structured medical records.

Foundation Model of Electronic Medical Records for Adaptive Risk Estimation MOTOR: A time-to-event foundation model for structured medical records

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:45:32.973414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 42f3bc98-4bf4-47a4-beeb-c380b97b8656 · outbound

This paper cites BEHRT: Transformer for electronic health records.

Foundation Model of Electronic Medical Records for Adaptive Risk Estimation BEHRT: Transformer for electronic health records

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-08T16:45:31.760181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d896f617-625b-4e20-b220-88c86d51710a · outbound

This paper cites Event-Based Contrastive Learning for medical time series.

Foundation Model of Electronic Medical Records for Adaptive Risk Estimation Event-Based Contrastive Learning for medical time series

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:45:32.957224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 633c2c83-669e-4f6a-8efd-adb3a92e2b7e · outbound

This paper cites MIMIC-IV, a freely accessible electronic health record dataset.

Foundation Model of Electronic Medical Records for Adaptive Risk Estimation MIMIC-IV, a freely accessible electronic health record dataset

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-08T16:45:31.769488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c558ddaa-e09f-4826-b921-37d6709c0b7e · outbound

This paper cites Mimic-iv.

Foundation Model of Electronic Medical Records for Adaptive Risk Estimation Mimic-iv

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:45:32.942549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c5e22d80-0f85-4d91-9118-3abe36339e9b · outbound

This paper cites an unresolved cited work.

Foundation Model of Electronic Medical Records for Adaptive Risk Estimation Unresolved cited work

Reference 27

Resolution: unresolved; raw_fallback, observed 2026-08-08T16:45:32.927746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a310e65f-2801-4140-81d2-26ec72a523bf · outbound

This paper cites Medical Event Data Standard (MEDS): Facilitating Machine Learning for Health.

Foundation Model of Electronic Medical Records for Adaptive Risk Estimation Medical Event Data Standard (MEDS): Facilitating Machine Learning for Health

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:45:32.913102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 98ddf0e4-f703-4ed1-a0b2-de79b1fa33a4 · outbound

This paper cites Benchmarking emergency department prediction models with machine learning and public electronic health records.

Foundation Model of Electronic Medical Records for Adaptive Risk Estimation Benchmarking emergency department prediction models with machine learning and public electronic health records

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-08T16:45:31.789578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 886e2248-b838-424c-bffd-92506de83232 · outbound

This paper cites The ability of the National Early Warning Score (NEWS) to discriminate patients at risk of early cardiac arrest, unanticipated intensive care unit admission, and death.

Foundation Model of Electronic Medical Records for Adaptive Risk Estimation The ability of the National Early Warning Score (NEWS) to discriminate patients at risk of early cardiac arrest, unanticipated intensive care unit admission, and death

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-08T16:45:31.793988Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77598f81-df36-4b40-970b-83bfb7702fe1 · outbound

This paper cites A multimodal biomedical foundation model trained from fifteen million image–text pairs.

Foundation Model of Electronic Medical Records for Adaptive Risk Estimation A multimodal biomedical foundation model trained from fifteen million image–text pairs

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-08T16:45:31.799334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94249045-c32d-4b65-a0da-9860586149b8 · outbound

This paper cites Rapid Emergency Medicine score: a new prognostic tool for in-hospital mortality in nonsurgical emergency department patients.

Foundation Model of Electronic Medical Records for Adaptive Risk Estimation Rapid Emergency Medicine score: a new prognostic tool for in-hospital mortality in nonsurgical emergency department patients

Reference 32

Resolution: verified exact; raw_fallback, observed 2026-08-08T16:45:32.561577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation bf050fc7-92c2-4e2e-9c07-ecbf8406bb8b · outbound

This paper cites Derivation of a cardiac arrest prediction model using ward vital signs.

Foundation Model of Electronic Medical Records for Adaptive Risk Estimation Derivation of a cardiac arrest prediction model using ward vital signs

Reference 33

Resolution: verified exact; doi, observed 2026-08-08T16:45:32.024528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1300ad4a-0000-4414-a42e-c11f17bb4bb3 · outbound

This paper cites The Emergency Severity Index triage algorithm version 2 is reliable and valid.

Foundation Model of Electronic Medical Records for Adaptive Risk Estimation The Emergency Severity Index triage algorithm version 2 is reliable and valid

Reference 34

Resolution: verified exact; doi, observed 2026-08-08T16:45:32.007228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 776057c7-131f-4732-9086-32aaa22e9a9c · outbound

This paper cites Multi-layer representation learning for medical concepts.

Foundation Model of Electronic Medical Records for Adaptive Risk Estimation Multi-layer representation learning for medical concepts

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-08T16:45:31.817089Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c37589c2-f02a-489d-a84e-da3f19858cac · outbound

This paper cites Long short-term memory.

Foundation Model of Electronic Medical Records for Adaptive Risk Estimation Long short-term memory

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-08T16:45:31.821901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 924340c1-8632-4ec4-8ef8-1e60c3e1f46d · outbound

This paper cites MEDS-Tab: Automated tabularization and baseline methods for MEDS datasets.

Foundation Model of Electronic Medical Records for Adaptive Risk Estimation MEDS-Tab: Automated tabularization and baseline methods for MEDS datasets

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:45:32.898334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 594c512b-0eee-4f20-8779-eedb100c9a7a · outbound

This paper cites XGBoost: A Scalable Tree Boosting System.

Foundation Model of Electronic Medical Records for Adaptive Risk Estimation XGBoost: A Scalable Tree Boosting System

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-08T16:45:31.831866Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3759144e-2101-4e3a-b0a1-88635b587748 · outbound

This paper cites SciPy 1.0: fundamental algorithms for scientific computing in Python.

Foundation Model of Electronic Medical Records for Adaptive Risk Estimation SciPy 1.0: fundamental algorithms for scientific computing in Python

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-08T16:45:31.836530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e3f72e0-e873-428a-a0e7-b067f0bd3ffa · outbound

This paper cites Scikit-learn: Machine learning in python journal of machine learning research.

Foundation Model of Electronic Medical Records for Adaptive Risk Estimation Scikit-learn: Machine learning in python journal of machine learning research

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:45:32.883224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d2c39fa8-caf5-42ff-a653-a71d6387407c · outbound

This paper cites Interpretability and fairness evaluation of deep learning models on MIMIC-IV dataset.

Foundation Model of Electronic Medical Records for Adaptive Risk Estimation Interpretability and fairness evaluation of deep learning models on MIMIC-IV dataset

Reference 41

Resolution: verified exact; doi, observed 2026-08-08T16:45:31.962515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c4ff86e6-5d4a-49af-8edc-07304d0ca0b3 · outbound

This paper cites The early warning paradox.

Foundation Model of Electronic Medical Records for Adaptive Risk Estimation The early warning paradox

Reference 42

Resolution: verified exact; doi, observed 2026-08-08T16:45:31.943840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6e1a0fcc-7a07-4067-8848-49abc45fd0fb · outbound

This paper cites AutoScore: a machine learning–based automatic clinical score generator and its application to mortality prediction using electronic health records.

Foundation Model of Electronic Medical Records for Adaptive Risk Estimation AutoScore: a machine learning–based automatic clinical score generator and its application to mortality prediction using electronic health records

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:45:32.868008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 24f4e3f7-849d-47ab-bcdc-ec6f378667dd · outbound

This paper cites samples {x(1), x(2),.

Foundation Model of Electronic Medical Records for Adaptive Risk Estimation samples {x(1), x(2),

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:45:32.852995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 75a08c0e-8392-4939-b8f6-244de5cc4593 · outbound

This paper cites an unresolved cited work.

Foundation Model of Electronic Medical Records for Adaptive Risk Estimation Unresolved cited work

Reference 45

Resolution: unresolved; raw_fallback, observed 2026-08-08T16:45:32.837626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7a211c26-ce1c-43e3-b8b7-d7733356d435 · outbound

This paper cites successes.

Foundation Model of Electronic Medical Records for Adaptive Risk Estimation successes

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:45:32.821917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f2789dc1-0c84-4499-b5ae-f971b518c039 · outbound

This paper cites Story.” Each Patient Health Timeline (PHT) is a long sequence of discrete tokens, think of each token as a “word.

Foundation Model of Electronic Medical Records for Adaptive Risk Estimation Story.” Each Patient Health Timeline (PHT) is a long sequence of discrete tokens, think of each token as a “word

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:45:32.805574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e70e24d9-e3b1-4169-acaa-d13f3c874487 · outbound

This paper cites zero-shot.

Foundation Model of Electronic Medical Records for Adaptive Risk Estimation zero-shot

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:45:32.789577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b45e7979-fc4e-4aaf-a578-d110355918cd · outbound

This paper cites completions.

Foundation Model of Electronic Medical Records for Adaptive Risk Estimation completions

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:45:32.774298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5befb3ce-61dc-45d3-a459-216828a974b9 · outbound

This paper cites Some tokens are can be treated as outcome (e.g., mortality).

Foundation Model of Electronic Medical Records for Adaptive Risk Estimation Some tokens are can be treated as outcome (e.g., mortality)

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:45:32.758646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7b9e7d0f-e6ee-4b4f-a96f-79e1b22cedce · outbound

This paper cites End of timeline.

Foundation Model of Electronic Medical Records for Adaptive Risk Estimation End of timeline

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:45:32.743060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Pith citing papers

Observation 2f983c47-0885-4f33-a823-c17a13ce6614 · inbound

Quantifying surprise in clinical care: Detecting highly informative events in electronic health records with foundation models cites this paper.

Quantifying surprise in clinical care: Detecting highly informative events in electronic health records with foundation models Foundation Model of Electronic Medical Records for Adaptive Risk Estimation

Reference 39

Resolution: verified exact; local_arxiv, observed 2026-08-06T11:22:59.642442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.