Pith. sign in

Paper Citation Record · LEDGER

ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission

As of 5 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 50 inbound Pith citation observations for arXiv:1904.05342.

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

pith.paper-citation-record.v1
1904.05342 v3

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-15T09:26:52.783241Z

measured 90 of 90 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 50 of 50 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T11:12:21.845184Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

40 of 40 outbound references displayed

  • verified exact4
  • verified fuzzy36
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

622
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 6a3ce1d3-f93c-409d-a433-07799ec200e8 · outbound

This paper cites Publicly Available Clinical BERT Embeddings.

ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission Publicly Available Clinical BERT Embeddings

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-05-15T09:26:52.837372Z

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.

source=pdf_text observed=2026-05-15T09:26:52.783241Z digest=sha256:f87e61e9473c30ef105317d9cc338712bcbd6ed8ef8881c53441512acf92a3a3

Observation a483ba6a-d55a-4947-99fc-19161ddfeb62 · outbound

This paper cites Hospital readmissions in the Medicare population.

ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission Hospital readmissions in the Medicare population

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T09:26:53.032719Z

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.

source=pdf_text observed=2026-05-15T09:26:52.783241Z digest=sha256:35137f0d4d588c5a63e4f435f2386526fe7ee18ce6489080f328f591d94e7935

Observation 3294c92f-a590-4040-9b53-07ccc76dcff8 · outbound

This paper cites Aninformatics-based approach to reducing heart failure all-cause readmissions: the Stanfordheartfailuredashboard.

ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission Aninformatics-based approach to reducing heart failure all-cause readmissions: the Stanfordheartfailuredashboard

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T09:26:53.036588Z

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.

source=pdf_text observed=2026-05-15T09:26:52.783241Z digest=sha256:82c33e7189bcbc998988296a4a455788939f699d99408066bd7b3eb4a5743be5

Observation 04882597-11c0-4907-84d6-9f591cb972d9 · outbound

This paper cites Dynamic Hierarchical Clas- sification for Patient Risk-of-Readmission.

ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission Dynamic Hierarchical Clas- sification for Patient Risk-of-Readmission

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T09:26:53.040436Z

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.

source=pdf_text observed=2026-05-15T09:26:52.783241Z digest=sha256:ffaf9daedee0ba542b29f3d976e7aed898dcc12353a85dc0079eaf0944799098

Observation 6225e364-027f-4efd-9a2a-e7a56b4ac3a1 · outbound

This paper cites What’s in a Note? Unpacking Predictive Value in Clinical Note Repre- sentations.

ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission What’s in a Note? Unpacking Predictive Value in Clinical Note Repre- sentations

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T09:26:52.843766Z

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.

source=pdf_text observed=2026-05-15T09:26:52.783241Z digest=sha256:7fbfa22bf4dda7ebf372a435d13121f96a907ac48a8b7bf40f196734f4d3d503

Observation 8fe4a580-4c0e-427f-918e-dae89768f9a1 · outbound

This paper cites Enrich- ingwordvectorswithsubwordinformation.

ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission Enrich- ingwordvectorswithsubwordinformation

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T09:26:52.848725Z

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.

source=pdf_text observed=2026-05-15T09:26:52.783241Z digest=sha256:ac496f157c38160f575907667e5b67199e33bfcd34a022c41c2faa294a469028

Observation 5e0c2841-e052-4104-a4d8-75a78e2317e8 · outbound

This paper cites Real-time prediction of mor- tality, readmission, and length of stay using electronic health record data.

ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission Real-time prediction of mor- tality, readmission, and length of stay using electronic health record data

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T09:26:52.853779Z

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.

source=pdf_text observed=2026-05-15T09:26:52.783241Z digest=sha256:329a9e10c84fc5450a83608af19221738dc96b1d239a3cc08ceff8946d0b06a8

Observation cacf01c7-41d0-41ac-97f0-c3db38372728 · outbound

This paper cites Intelligible models for healthcare: Predicting pneu- monia risk and hospital 30-day readmission.

ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission Intelligible models for healthcare: Predicting pneu- monia risk and hospital 30-day readmission

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T09:26:52.897693Z

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.

source=pdf_text observed=2026-05-15T09:26:52.783241Z digest=sha256:ed4ac65ecf8cc00394d841a10e1f2949de63e57f92d278ea494f0cd56604ee0c

Observation ecf9d8af-d064-48b6-a635-5691032e507c · outbound

This paper cites Overcoming barriers to NLP for clinical text: the role of shared tasks and the need for addi- tional creative solutions.

ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission Overcoming barriers to NLP for clinical text: the role of shared tasks and the need for addi- tional creative solutions

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T09:26:52.904539Z

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.

source=pdf_text observed=2026-05-15T09:26:52.783241Z digest=sha256:496728bed74df53faa34e90e6b6d9d6d26840da5c1fa4d36b0461b15e306d342

Observation e31d3a48-1899-45a0-8c6a-a12d1f4089ae · outbound

This paper cites How to Train good Word Embeddings for Biomedical NLP.

ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission How to Train good Word Embeddings for Biomedical NLP

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T09:26:52.910130Z

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.

source=pdf_text observed=2026-05-15T09:26:52.783241Z digest=sha256:ac4b35c5539655bb0adf7a01c60f4d7ecf37562135a8abfcf02dabf9932bc31a

Observation 5079643f-2a1c-4190-a9b8-a11a22b11c2d · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-05-15T09:26:52.814516Z

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.

source=pdf_text observed=2026-05-15T09:26:52.783241Z digest=sha256:e4bc03ebfe787e73ccc986804fa43ac5ea5f87ecec4ba1fdcb422f2ed16dfa37

Observation d7b02b03-66b3-41b4-863c-f41a9fb916c0 · outbound

This paper cites A comparison of models for predicting early hospital readmissions.

ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission A comparison of models for predicting early hospital readmissions

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T09:26:52.914612Z

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.

source=pdf_text observed=2026-05-15T09:26:52.783241Z digest=sha256:46d4714a1f78fe6223cbd2da78d0fc95725ca2e92611521a82dc779c44d9e563

Observation 5a8c2f44-5e2e-41a9-8423-813aa5dbdb2d · outbound

This paper cites Opportunities and challenges in developing risk pre- diction models with electronic health records data: a system- atic review.

ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission Opportunities and challenges in developing risk pre- diction models with electronic health records data: a system- atic review

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T09:26:52.919886Z

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.

source=pdf_text observed=2026-05-15T09:26:52.783241Z digest=sha256:7a09bf13c1708e1c5fdf7d95388cd3397f2901c0aa4b453f49119e629bf17238

Observation 3afd351d-8849-4b39-8de2-db8f6c7532b8 · outbound

This paper cites Long Short-Term Mem- ory.

ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission Long Short-Term Mem- ory

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T09:26:52.925018Z

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.

source=pdf_text observed=2026-05-15T09:26:52.783241Z digest=sha256:1bddc4dd3cb6944fc19cb56f67f28c9b7763ca2a43a74568c943a056e0f4ea48

Observation 96921dbd-a76e-4245-ba38-65f7e760ee50 · outbound

This paper cites MIMIC-III, a freely accessible critical care database.

ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission MIMIC-III, a freely accessible critical care database

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T09:26:52.930181Z

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.

source=pdf_text observed=2026-05-15T09:26:52.783241Z digest=sha256:5ed1c240d259767824c4fd460030c7bd279030cbab2646cc47448db4abaf046f

Observation 49ba999b-c103-4a12-a84f-e8c84b382017 · outbound

This paper cites Documentation of mandated discharge summary components in transitions from acute to subacute care.

ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission Documentation of mandated discharge summary components in transitions from acute to subacute care

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T09:26:52.934826Z

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.

source=pdf_text observed=2026-05-15T09:26:52.783241Z digest=sha256:f3c10dc337d6ac692a855f4e60fa527aeefdd353d81886992412aabc8d5d7bda

Observation 949cd465-8716-400f-bde1-f21699836249 · outbound

This paper cites BioBERT: a pre-trained biomedical language representation model for biomedical text mining.

ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission BioBERT: a pre-trained biomedical language representation model for biomedical text mining

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-15T09:26:52.822723Z

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.

source=pdf_text observed=2026-05-15T09:26:52.783241Z digest=sha256:5888fda4d1e6442f66f0ef97513292107dbe6defaae2c57d6fbafa432f453790

Observation 249023ac-f96c-47f9-b9db-46247dff5e3d · outbound

This paper cites Deep EHR: Chronic Disease Prediction Using Medical Notes.

ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission Deep EHR: Chronic Disease Prediction Using Medical Notes

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T09:26:52.938675Z

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.

source=pdf_text observed=2026-05-15T09:26:52.783241Z digest=sha256:1bbbc7f52e26a8df2e4ef3efb95d10c0d0f3150c1bc3b29af187b5d470d893b3

Observation 4d9135b7-fde1-4abb-8d67-126a5b14d5fa · outbound

This paper cites Visualizing data using t- SNE.

ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission Visualizing data using t- SNE

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T09:26:52.942747Z

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.

source=pdf_text observed=2026-05-15T09:26:52.783241Z digest=sha256:5c7adf18e491afcf980b8e5e73729f8e9a5fd731412fc7939dc84b447076986f

Observation 8e6ec888-f28f-4901-83cf-1d3f773fee4c · outbound

This paper cites Distributed representations of words and phrases and their compositionality.

ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission Distributed representations of words and phrases and their compositionality

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T09:26:52.947504Z

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.

source=pdf_text observed=2026-05-15T09:26:52.783241Z digest=sha256:3713de567c70d47fc61c56d2e0995a13d14c4636e3c7fa25351b230e605a9014

Observation 035774b2-868b-49f5-b1af-19b6d069e237 · outbound

This paper cites ASHP national survey of pharmacy practice in hospital settings: Pre- scribing and transcribing—2016.

ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission ASHP national survey of pharmacy practice in hospital settings: Pre- scribing and transcribing—2016

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T09:26:52.952148Z

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.

source=pdf_text observed=2026-05-15T09:26:52.783241Z digest=sha256:0b4858dce5e3d919df8ab35260d0174e9d01b95ab8bb6d7caafe0a5f79f1dc5b

Observation e80cd53f-94f4-40ee-8ca3-b9e636ec7280 · outbound

This paper cites Measuresofsemanticsimilarityandrelatednessinthebiomed- ical domain.

ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission Measuresofsemanticsimilarityandrelatednessinthebiomed- ical domain

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T09:26:52.956119Z

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.

source=pdf_text observed=2026-05-15T09:26:52.783241Z digest=sha256:2a35836fa621022e57c07ff88801cfd479116455af7c7f53afceb3a7a67c43e5

Observation c276e68b-df94-409d-ba5a-4367491c1ab6 · outbound

This paper cites Glove: Global Vectors for Word Representation.

ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission Glove: Global Vectors for Word Representation

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T09:26:52.960072Z

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.

source=pdf_text observed=2026-05-15T09:26:52.783241Z digest=sha256:84b9bcb225f6be3c7b6ce61f5df6d26f34c92657957232122be2cb161349c023

Observation 7deb6dc5-d329-4dc1-a882-ac970fb59887 · outbound

This paper cites Deep contextualized word representations.

ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission Deep contextualized word representations

Reference 24

Resolution
verified exact
local_arxiv, observed 2026-05-15T09:26:52.830260Z

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.

source=pdf_text observed=2026-05-15T09:26:52.783241Z digest=sha256:ccc3443805d1884124d6917b9ae9ce48cc864b70531f12b56b45953c4c7f508d

Observation cceef90a-46d2-45de-bc31-060a5a3bc94f · outbound

This paper cites Improving Language Understanding by Gen- erative Pre-Training.

ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission Improving Language Understanding by Gen- erative Pre-Training

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T09:26:52.964379Z

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.

source=pdf_text observed=2026-05-15T09:26:52.783241Z digest=sha256:7edc9bbd98ef4eea538bbd4afcf10db1539f72c18ed2b3d905b37d04e025b540

Observation c48ed751-26c7-4ee0-b095-6248c9f6af0a · outbound

This paper cites Scalable and accurate deep learning with electronic health records.

ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission Scalable and accurate deep learning with electronic health records

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T09:26:52.968693Z

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.

source=pdf_text observed=2026-05-15T09:26:52.783241Z digest=sha256:62ef6722d11e105aa02bc242860b07012339c654110c8bc03456f705bae1a384

Observation c255c1f8-fdd7-4170-b40f-a95787a51575 · outbound

This paper cites Bidirectionalrecurrentneural networks.

ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission Bidirectionalrecurrentneural networks

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T09:26:52.972494Z

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.

source=pdf_text observed=2026-05-15T09:26:52.783241Z digest=sha256:b7bade8b7be7c00f81f643c21ac9b82fa93ca8febcc4afeffa3972673b7091c6

Observation 39c8170c-b94f-47a0-a088-04646bc8d54e · outbound

This paper cites Alarm fatigue: a patient safety concern.

ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission Alarm fatigue: a patient safety concern

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T09:26:52.976690Z

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.

source=pdf_text observed=2026-05-15T09:26:52.783241Z digest=sha256:c61267f8c149645692e15d35ec507421557bfc79eb048c656c793a29d6b1a21a

Observation faf9c2c8-c311-4107-8828-750a592841ce · outbound

This paper cites Neural Machine Translation of Rare Words with Subword Units.

ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission Neural Machine Translation of Rare Words with Subword Units

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T09:26:52.980615Z

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.

source=pdf_text observed=2026-05-15T09:26:52.783241Z digest=sha256:b28e5dc87832b0be9a6658103439dbad27cd521acf29935fda8ff852d372aec6

Observation 8532a6bb-f493-4006-bfb0-9d95851c3ed7 · outbound

This paper cites DeepEHR: A survey of recent advances in deep learning techniques for electronic health record (EHR) analysis.

ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission DeepEHR: A survey of recent advances in deep learning techniques for electronic health record (EHR) analysis

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T09:26:52.984895Z

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.

source=pdf_text observed=2026-05-15T09:26:52.783241Z digest=sha256:4f26e05db2f3527af78bec7d08774b65bb6a5106201a44024fb73a51b4487ff1

Observation 605c19ae-bd62-4978-ba19-0009801d3248 · outbound

This paper cites Enhancing clinical concept extraction with contextual embeddings.

ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission Enhancing clinical concept extraction with contextual embeddings

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T09:26:52.988619Z

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.

source=pdf_text observed=2026-05-15T09:26:52.783241Z digest=sha256:0d049904f848f35f30930d981d841384f7ea4b1a786527411596aea6fac8e6a0

Observation 6f5c9e55-820e-4fd6-a80f-fa006af7c63f · outbound

This paper cites Ef- fect of discharge summary availability during post-discharge visits on hospital readmission.

ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission Ef- fect of discharge summary availability during post-discharge visits on hospital readmission

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T09:26:52.993061Z

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.

source=pdf_text observed=2026-05-15T09:26:52.783241Z digest=sha256:e1b7292f0f9312c0471cdd90e4d4ba001161484c8fc393b26d58912e43848e70

Observation 3253eee0-03d8-4f34-9526-68629af0c8b4 · outbound

This paper cites Attention is all you need.

ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission Attention is all you need

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T09:26:52.997644Z

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.

source=pdf_text observed=2026-05-15T09:26:52.783241Z digest=sha256:d8350461cf769ca3cb63c8339765e33362c3281cdbe1727fe3750d455873a677

Observation 98126faa-e235-44dc-b48a-800fb9542802 · outbound

This paper cites A comparison of word embeddings for the biomedical natural language processing.

ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission A comparison of word embeddings for the biomedical natural language processing

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T09:26:53.003000Z

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.

source=pdf_text observed=2026-05-15T09:26:52.783241Z digest=sha256:84c29e8ab35996cb3e50c7791bae498aafcec3617fef1ef1264037cc221df60e

Observation e607b788-2601-4bf5-a3a4-c33d46535ccf · outbound

This paper cites MedicalSubdomainClassificationofClin- ical Notes Using a Machine Learning-Based Natural Lan- guage Processing Approach.

ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission MedicalSubdomainClassificationofClin- ical Notes Using a Machine Learning-Based Natural Lan- guage Processing Approach

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T09:26:53.007827Z

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.

source=pdf_text observed=2026-05-15T09:26:52.783241Z digest=sha256:9bf77fa753ab1447965d103f8e3ab512cc5f5f569b7f98bfaefaa4bf4417ba2c

Observation e604640c-c097-4aba-a3f5-6567cc2a1d51 · outbound

This paper cites Opportunities and challenges in developing deep learning models using electronic health records data: a systematic review.

ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission Opportunities and challenges in developing deep learning models using electronic health records data: a systematic review

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T09:26:53.012098Z

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.

source=pdf_text observed=2026-05-15T09:26:52.783241Z digest=sha256:bce5673165993e85b0ee02b14cae06cb4164e98c672c38851f4ea73ea4e2172c

Observation 6f17333e-6990-48f0-9444-c2bffdeb6592 · outbound

This paper cites Artificial intelli- gence in healthcare.

ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission Artificial intelli- gence in healthcare

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T09:26:53.016235Z

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.

source=pdf_text observed=2026-05-15T09:26:52.783241Z digest=sha256:b8ca4d8fd4f3ef8daa3e3dff5020c0582bf0290ff1977b03cf4f45502f410070

Observation ae0e901a-0974-49ee-a96b-488d64c9b47d · outbound

This paper cites Understanding bag-of- words model: a statistical framework.

ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission Understanding bag-of- words model: a statistical framework

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T09:26:53.019781Z

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.

source=pdf_text observed=2026-05-15T09:26:52.783241Z digest=sha256:ea43e52def5ddf3cd96da46b41ac031a44e3bcb4096c5103acbf145f7ec50ee5

Observation a6c642ef-7f46-461a-a627-0cc884722b33 · outbound

This paper cites Multi-Label Learning from Medical Plain Text with Convolutional Resid- ual Models.

ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission Multi-Label Learning from Medical Plain Text with Convolutional Resid- ual Models

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T09:26:53.024182Z

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.

source=pdf_text observed=2026-05-15T09:26:52.783241Z digest=sha256:b5a72bdbd6ceba1151087d0a62c5c28a4557143427dec0571a9f33342e5497df

Observation 221db70c-9eb6-4e08-997b-7e0ad5058c57 · outbound

This paper cites Readmissions, observation, and the hospital readmissions reduction program.

ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission Readmissions, observation, and the hospital readmissions reduction program

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T09:26:53.028531Z

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.

source=pdf_text observed=2026-05-15T09:26:52.783241Z digest=sha256:acc1847df81bbb345af8dfab2143dee1e4dbcbc488e8317a8c2fec970807728f

Pith citing papers

Observation 586bfbf2-90ef-4158-97ed-d0b4b7e74f83 · inbound

BloombergGPT: A Large Language Model for Finance cites this paper.

BloombergGPT: A Large Language Model for Finance ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-05-15T09:26:53.041773Z

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.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:303a0f58b1d297c05e65ea11202c52ddb606311d5c2bb161a30b1ecab7d29c41

Observation e2e18880-bc2b-40b1-a290-5ba0e227068b · inbound

LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day cites this paper.

LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-05-24T08:34:11.698181Z

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.

source=pdf_text observed=2026-05-24T08:33:16.436778Z digest=sha256:7b64859a0cad2adc18263c7e5e0e69f064f989aea02efef73d1f6d9f51a4a20e

Observation aaefe1a8-c2f1-43a9-b4e0-34d2c7d75c02 · inbound

Towards the Anonymization of the Language Modeling cites this paper.

Towards the Anonymization of the Language Modeling ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission

Reference 28

Resolution
verified exact
local_arxiv, observed 2026-05-23T06:32:39.492294Z

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.

source=pdf_text observed=2026-05-23T06:28:16.975305Z digest=sha256:db45d869d325e39898032cf056d996062a282d95ed3cb1dfb974200382a84459

Observation 5c03c321-94da-41bc-87cd-e7433f8ba2c9 · inbound

Hierarchical Section Matching Prediction (HSMP) BERT for Fine-Grained Extraction of Structured Data from Hebrew Free-Text Radiology Reports in Crohn's Disease cites this paper.

Hierarchical Section Matching Prediction (HSMP) BERT for Fine-Grained Extraction of Structured Data from Hebrew Free-Text Radiology Reports in Crohn's Disease ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-05T11:12:21.845184Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:12:21.845184Z digest=sha256:b8352e0b4457eab43ff24987291371ed52a304f56983837bf9eaf7abc391c169

Observation b4bebb46-5f29-4a1f-8b0e-bb91749ecb03 · inbound

Domain-Aware RAG: MoL-Enhanced RL for Efficient Training and Scalable Retrieval cites this paper.

Domain-Aware RAG: MoL-Enhanced RL for Efficient Training and Scalable Retrieval ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-04T23:23:40.126983Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T23:23:40.126983Z digest=sha256:4e99248ed6a616de00f60df4de430469831387ce956c0102f02778abe7952546

Observation 1ac0c000-8749-4f4f-8d53-60311a962877 · inbound

Enriched text-guided variational multimodal knowledge distillation network (VMD) for automated diagnosis of plaque vulnerability in 3D carotid artery MRI cites this paper.

Enriched text-guided variational multimodal knowledge distillation network (VMD) for automated diagnosis of plaque vulnerability in 3D carotid artery MRI ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-04T16:45:44.489694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T16:45:44.489694Z digest=sha256:1fabd2a166ac8eccbc5d885bc99f81e5120ee9b656fec910d4d093a875f1d357

Observation d5936e4e-1de8-411b-8fff-df160a7ff09c · inbound

MedPath: Multi-Domain Cross-Vocabulary Hierarchical Paths for Biomedical Entity Linking cites this paper.

MedPath: Multi-Domain Cross-Vocabulary Hierarchical Paths for Biomedical Entity Linking ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-03T22:24:06.785052Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T22:24:06.785052Z digest=sha256:e43795bb76d17a078b3a388b7e8ed757b9c8337f871f169c404b54d5299a5db9

Observation 07a54525-1e35-43bd-90ef-22be30088a5a · inbound

ADMEDTAGGER: an annotation framework for distillation of expert knowledge for the Polish medical language cites this paper.

ADMEDTAGGER: an annotation framework for distillation of expert knowledge for the Polish medical language ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission

Reference 21

Resolution
verified exact
local_arxiv, observed 2026-05-21T15:54:14.527383Z

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.

source=pdf_text observed=2026-05-21T15:53:11.348103Z digest=sha256:a1518802c14cdb430fdb5cc0bc430238630ce505abc471d20495a80ba81ca6cc

Observation 50a6f403-7652-4fb7-a4da-f02f906ae57f · inbound

From Pre-trained Models to Large Language Models: A Comprehensive Survey of AI-Driven Psychological Computing cites this paper.

From Pre-trained Models to Large Language Models: A Comprehensive Survey of AI-Driven Psychological Computing ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission

Reference 15

Resolution
metadata mismatch
local_arxiv, observed 2026-05-15T12:40:00.385911Z

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.

source=pdf_text observed=2026-05-15T12:36:05.547383Z digest=sha256:d9dc9231024e35a7538346ce67aa1a417bf2ade4943cddc173fe29cb0cff0b6e

Observation 91ef4cd9-fdfe-4ef2-a58e-c843435bb0d8 · inbound

A Systematic Study of Retrieval Pipeline Design for Retrieval-Augmented Medical Question Answering cites this paper.

A Systematic Study of Retrieval Pipeline Design for Retrieval-Augmented Medical Question Answering ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-15T09:26:53.041773Z

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.

source=pdf_text observed=2026-05-10T17:51:41.539951Z digest=sha256:1f3a14e2075fe0976c55b55f427fda61abaa687eb1a83b64c7198efb96ae12f6

Observation 303c3e06-205b-4cad-80ea-80d98236bc01 · inbound

EncFormer: Secure and Efficient Transformer Inference over Encrypted Data cites this paper.

EncFormer: Secure and Efficient Transformer Inference over Encrypted Data ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-15T09:26:53.041773Z

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.

source=pdf_text observed=2026-05-10T16:56:54.499046Z digest=sha256:60767cce316f41fc53e107a3b39ee1a02e034391fc11c81031c5ae5e99d5e3f7

Observation 5afa7749-afb7-403d-b93b-bcee7172dfe5 · inbound

Learning Preference-Based Objectives from Clinical Narratives for Dynamic Sepsis Treatment cites this paper.

Learning Preference-Based Objectives from Clinical Narratives for Dynamic Sepsis Treatment ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-15T09:26:53.041773Z

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.

source=pdf_text observed=2026-05-10T15:38:47.477293Z digest=sha256:4b446990eed7fa0813630bec357bafbb61b028a87855f020499e09de213c4d4e

Observation e68e8f7d-f6f5-4e48-951d-14dfe34f13bf · inbound

From Answers to Arguments: Toward Trustworthy Clinical Diagnostic Reasoning with Toulmin-Guided Curriculum Goal-Conditioned Learning cites this paper.

From Answers to Arguments: Toward Trustworthy Clinical Diagnostic Reasoning with Toulmin-Guided Curriculum Goal-Conditioned Learning ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission

Reference 3

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T09:26:53.041773Z

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.

source=pdf_text observed=2026-05-10T16:30:34.434984Z digest=sha256:2ba70163821852911091974f34c4a1e6b130c4917491c4fcd7b697b5f9e8d65e

Observation 9f2cac3f-ffe9-4681-a547-ee0a4c39788c · inbound

CURA: Clinical Uncertainty Risk Alignment for Language Model-Based Risk Prediction cites this paper.

CURA: Clinical Uncertainty Risk Alignment for Language Model-Based Risk Prediction ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission

Reference 1

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T09:26:53.041773Z

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.

source=pdf_text observed=2026-05-10T11:58:02.994749Z digest=sha256:a5e80e8461b75ed70330529c5cf2b5dde122ec90e0341d1e5113de9df7db317b

Observation 553e3475-6113-408d-ae0f-40dc457c7eb7 · inbound

Clinical Note Bloat Reduction for Efficient LLM Use cites this paper.

Clinical Note Bloat Reduction for Efficient LLM Use ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-15T09:26:53.041773Z

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.

source=pdf_text observed=2026-05-15T06:40:23.199798Z digest=sha256:00abe5a17d10fe19da5f675aa16b5027020bf5ac9492c3db8bdcc959b036fcaf

Observation 960596ac-8c5b-47b8-ac32-6459143f1259 · inbound

Reciprocal Co-Training (RCT): Coupling Gradient-Based and Non-Differentiable Models via Reinforcement Learning cites this paper.

Reciprocal Co-Training (RCT): Coupling Gradient-Based and Non-Differentiable Models via Reinforcement Learning ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-15T09:26:53.041773Z

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.

source=arxiv_source observed=2026-05-15T00:13:01.186687Z digest=sha256:b2cfd5738c7ff03aec0a0ed1cc7502607801fed02a873f9209fab9e54439e642

Observation 7c1f7884-655d-46c8-a82a-7de69d7e2247 · inbound

A Scientific Human-Agent Reproduction Pipeline cites this paper.

A Scientific Human-Agent Reproduction Pipeline ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission

Reference 43

Resolution
verified exact
local_arxiv, observed 2026-07-05T10:40:55.185011Z

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.

source=pdf_text observed=2026-07-05T10:35:33.834110Z digest=sha256:8867301dcd1508069b91c022af47c89a07f615e196212ad7a31a24e1f4a8a556

Observation ed859cc1-2f18-4236-ad34-fa80aeaee32a · inbound

Handling and Interpreting Missing Modalities in Patient Clinical Trajectories via Autoregressive Sequence Modeling cites this paper.

Handling and Interpreting Missing Modalities in Patient Clinical Trajectories via Autoregressive Sequence Modeling ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-05-15T09:26:53.041773Z

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.

source=pdf_text observed=2026-05-10T05:49:08.511479Z digest=sha256:12a524bda6d549ee721ed129e02f84beb8832dd886ac21193014663ec3ec78fc

Observation 8cb021e6-7995-4f4c-8f0c-2babe49a2f18 · inbound

REBENCH: A Procedural, Fair-by-Construction Benchmark for LLMs on Stripped-Binary Types and Names (Extended Version) cites this paper.

REBENCH: A Procedural, Fair-by-Construction Benchmark for LLMs on Stripped-Binary Types and Names (Extended Version) ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-15T09:26:53.041773Z

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.

source=pdf_text observed=2026-05-07T09:32:02.956530Z digest=sha256:7c6ef3a14ada945c2fe80ba41c8aa2862f00f5de32c80f0d712676c3c910fd89

Observation a0a4bec8-8815-4a42-a789-83c809ec363d · inbound

Deep Kernel Learning for Stratifying Glaucoma Trajectories cites this paper.

Deep Kernel Learning for Stratifying Glaucoma Trajectories ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission

Reference 15

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T09:26:53.041773Z

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.

source=arxiv_source observed=2026-05-09T19:32:15.656522Z digest=sha256:b0679fbde2c7bd185dae0f7522da0b1441d714ae327095f0f9dbfb63ba34b9d5

Observation 82e276e2-4790-41e9-83a4-4f5849f634e5 · inbound

A Hybrid Retrieval and Reranking Framework for Evidence-Grounded Retrieval-Augmented Generation cites this paper.

A Hybrid Retrieval and Reranking Framework for Evidence-Grounded Retrieval-Augmented Generation ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-15T09:26:53.041773Z

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.

source=pdf_text observed=2026-05-09T17:16:00.567990Z digest=sha256:c5765c5501495de12f95a7afd619db2677fd52ad3c46ed5100b08c4b06ea1149

Observation 66a3e8c9-f57a-41f8-be06-0053af97c74c · inbound

A renormalization-group inspired lattice-based framework for piecewise generalized linear models cites this paper.

A renormalization-group inspired lattice-based framework for piecewise generalized linear models ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission

Reference 284

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T09:26:53.041773Z

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.

source=arxiv_source observed=2026-05-08T15:49:33.695290Z digest=sha256:01e17bc357c5f77520a613edc570727f6cfb7748831e896124cf5b66013d7655

Observation 18368ed1-ac88-44ad-b3cf-cf3f25760f6a · inbound

Retina-RAG: Retrieval-Augmented Vision-Language Modeling for Joint Retinal Diagnosis and Clinical Report Generation cites this paper.

Retina-RAG: Retrieval-Augmented Vision-Language Modeling for Joint Retinal Diagnosis and Clinical Report Generation ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission

Reference 38

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T09:26:53.041773Z

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.

source=pdf_text observed=2026-05-08T13:48:17.815440Z digest=sha256:4addbe22ca530b72722e4079d130e3b79f69c0f5ea7091c581253a2e6eafedc4

Observation 632e6225-43c2-4e21-ab7c-4522a7c98f36 · inbound

Retina-RAG: Retrieval-Augmented Vision-Language Modeling for Joint Retinal Diagnosis and Clinical Report Generation cites this paper.

Retina-RAG: Retrieval-Augmented Vision-Language Modeling for Joint Retinal Diagnosis and Clinical Report Generation ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission

Reference 38

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T09:26:53.041773Z

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.

source=pdf_text observed=2026-05-11T02:03:15.389641Z digest=sha256:a8e07a9359ceeb8a6d2f0678994678a96cf0e7a9e9cf802dbc43db7934938198

Observation 82571079-586e-49b6-aac7-9e5848907352 · inbound

Systematic Evaluation of Large Language Models for Post-Discharge Clinical Action Extraction cites this paper.

Systematic Evaluation of Large Language Models for Post-Discharge Clinical Action Extraction ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-15T09:26:53.041773Z

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.

source=pdf_text observed=2026-05-08T10:15:03.503011Z digest=sha256:d6ef7b30cd9ac04e09c48d64f13425332ac058f1a503182aa7241cfe4cb93aba

Observation c817363b-de41-4c97-8e21-dd8ad4ae6897 · inbound

Uncertainty-Aware Structured Data Extraction from Full CMR Reports via Distilled LLMs cites this paper.

Uncertainty-Aware Structured Data Extraction from Full CMR Reports via Distilled LLMs ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-15T09:26:53.041773Z

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.

source=pdf_text observed=2026-05-11T02:16:55.470827Z digest=sha256:ffc5c77cbba9ab239ea2aa155c82db67395fe18d7b385b7e93c46d0603b95fc8

Observation 7f28da05-2d7c-4cd3-80df-b001161a214a · inbound

AgentRx: A Benchmark Study of LLM Agents for Multimodal Clinical Prediction Tasks cites this paper.

AgentRx: A Benchmark Study of LLM Agents for Multimodal Clinical Prediction Tasks ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission

Reference 54

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T09:26:53.041773Z

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.

source=arxiv_source observed=2026-05-12T05:10:02.941396Z digest=sha256:2e380987c10cfa5edf4ec20a740f93a54cb65b077cd6087e1b5b77c3a3521746

Observation 978bf3b7-d4a5-4838-8cb8-714cd2ea0592 · inbound

NanoResearch: Co-Evolving Skills, Memory, and Policy for Personalized Research Automation cites this paper.

NanoResearch: Co-Evolving Skills, Memory, and Policy for Personalized Research Automation ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-15T09:26:53.041773Z

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.

source=pdf_text observed=2026-05-12T04:12:49.742272Z digest=sha256:2563e718188da820c51733223d045a6eb8f0ba02e349e86cefb41e6edbcbd050

Observation fed6b870-8996-42ef-b2a4-fe736225b0e2 · inbound

Training Large Language Models to Predict Clinical Events cites this paper.

Training Large Language Models to Predict Clinical Events ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission

Reference 6

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T09:26:53.041773Z

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.

source=arxiv_source observed=2026-05-14T20:01:35.179487Z digest=sha256:aa73de03843e554183847aaa6d9d0d4c654509c47f56b04d86e3178ca9f45edc

Observation cac0c62b-0549-438a-8d50-865ebb0cfa19 · inbound

Systematic Evaluation of the Quality of Synthetic Clinical Notes Rephrased by LLMs at Million-Note Scale cites this paper.

Systematic Evaluation of the Quality of Synthetic Clinical Notes Rephrased by LLMs at Million-Note Scale ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission

Reference 40

Resolution
verified exact
local_arxiv, observed 2026-05-20T11:48:15.125040Z

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.

source=arxiv_source observed=2026-05-20T11:44:58.613981Z digest=sha256:6fad317d0807c1c308d8c00d4faaf975f1d2b711bc6757bdc4aacae06ecd8a8d

Observation 9f23342b-7d52-42fc-a394-fb19b0b0552c · inbound

Efficient Test-Time Finetuning of LLMs via Convex Reconstruction and Gradient Caching cites this paper.

Efficient Test-Time Finetuning of LLMs via Convex Reconstruction and Gradient Caching ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission

Reference 32

Resolution
verified exact
local_arxiv, observed 2026-06-29T09:03:15.958188Z

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.

source=pdf_text observed=2026-06-29T08:58:52.511363Z digest=sha256:f7e341e96e1a0fed53367dda6de927c8edad6cfca659d82cfa0ab50f558d5cd6

Observation 71a73f4c-98a3-47cf-af04-fd2fa8ffa45e · inbound

Sequence models reveal diagnosis accumulation pathways beyond comorbidity burden in population-scale hospital data cites this paper.

Sequence models reveal diagnosis accumulation pathways beyond comorbidity burden in population-scale hospital data ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-06-28T20:22:37.241891Z

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.

source=pdf_text observed=2026-06-28T20:15:13.494324Z digest=sha256:3f5ccdea857053d0bab5edc536b1554ab6ca1c5db0f22310f7aac7b87dbe39f8

Observation cb9a7cc9-97e0-40fa-9ab0-867c293cdf54 · inbound

KliniskVestBERT: BERT Model Specialised to Norwegian Clinical Texts cites this paper.

KliniskVestBERT: BERT Model Specialised to Norwegian Clinical Texts ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission

Reference 3

Resolution
verified exact
local_arxiv, observed 2026-07-01T23:16:23.979947Z

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.

source=pdf_text observed=2026-06-28T14:32:23.329860Z digest=sha256:830928dac23a72cdfcf40acde2d18c0e9301d0034ae9e3be125ebbd04327c5ad

Observation bb23936f-9cce-4330-b999-895a4705171c · inbound

Improving Heart-Focused Medical Question Answering in LLMs via Variance-Aware Rubric Rewards with GRPO cites this paper.

Improving Heart-Focused Medical Question Answering in LLMs via Variance-Aware Rubric Rewards with GRPO ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission

Reference 6

Resolution
unresolved
no resolver link, observed 2026-07-12T19:39:46.922877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T19:39:46.922877Z digest=sha256:82df4623aace5a3b583494e72080e9d4cb4c3401f2d3994a69ef0cdab2865092

Observation b09f29ac-4dbe-4405-8f34-f854e51f99f1 · inbound

Ten Headache Specialists versus Artificial Intelligence for Clinical Literature Summarization: A Critical Evaluation and Comparison cites this paper.

Ten Headache Specialists versus Artificial Intelligence for Clinical Literature Summarization: A Critical Evaluation and Comparison ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission

Reference 60

Resolution
metadata mismatch
local_arxiv, observed 2026-07-02T08:26:48.120789Z

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.

source=arxiv_source observed=2026-06-28T06:03:59.798126Z digest=sha256:c3a2010c5bb28dbcd7178f148087c6b11f946b1f186d61f9618e3fcc05177242

Observation 41b29d2d-cc00-463d-914d-57492bf3d84c · inbound

Dep-LLM: Training-Free Depression Diagnosis via Evidence-Guided Structured Multi-factor with Reliable LLM Reasoning cites this paper.

Dep-LLM: Training-Free Depression Diagnosis via Evidence-Guided Structured Multi-factor with Reliable LLM Reasoning ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission

Reference 67

Resolution
verified exact
local_arxiv, observed 2026-07-03T04:47:38.689822Z

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.

source=pdf_text observed=2026-06-27T13:35:20.280375Z digest=sha256:80599b7902f7863fe56c825bb5832fea0fa3ce3e4135c727ce0cc0b006725680

Observation e3d488d9-e430-48d9-859e-c13c31938b7d · inbound

From Efficiency to Leakage -- Privacy Backdoor in Federated Language Model Fine-Tuning cites this paper.

From Efficiency to Leakage -- Privacy Backdoor in Federated Language Model Fine-Tuning ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission

Reference 33

Resolution
verified exact
local_arxiv, observed 2026-07-04T04:39:35.034768Z

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.

source=pdf_text observed=2026-06-26T16:51:07.028013Z digest=sha256:55eea237a4cf9740ce98d204e30d51daaaabe681770adadb537b66de49835eda

Observation 78e9fa21-402a-4fd9-a2c2-53a91eae81e6 · inbound

RecallRisk-BERT: A Multi-Task Framework for Post-Report Medical Device Recall Triage cites this paper.

RecallRisk-BERT: A Multi-Task Framework for Post-Report Medical Device Recall Triage ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission

Reference 56

Resolution
verified exact
local_arxiv, observed 2026-07-04T13:39:50.620570Z

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.

source=pdf_text observed=2026-06-26T05:03:30.360702Z digest=sha256:050282772902b1b0fbdd7be8b0520906dce4784a329c32d1c49ac32c573f5abe

Observation 74afdc7c-4863-4768-b2e2-d7f052bdc77d · inbound

$M^3 QuestionIng$: Multi-modal Multi-span Medical Question Answering cites this paper.

$M^3 QuestionIng$: Multi-modal Multi-span Medical Question Answering ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-06-30T18:15:00.019832Z

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.

source=pdf_text observed=2026-06-30T18:09:46.506953Z digest=sha256:1ad0620a9db583bdbd34cf6844201c64d878c11cb93b62fc10ee54461e49c05b

Observation 70a3ab95-8383-4b3e-86ff-0ebf7e75a353 · inbound

HyperVLP: Enhancing Hierarchical Surgical Video-Language Pre-training in Hyperbolic Space cites this paper.

HyperVLP: Enhancing Hierarchical Surgical Video-Language Pre-training in Hyperbolic Space ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission

Reference 7

Resolution
metadata mismatch
local_arxiv, observed 2026-07-01T09:55:41.610544Z

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.

source=pdf_text observed=2026-07-01T05:58:11.210464Z digest=sha256:665b63fb95e6cf59f3b1868f24435da6656a7fa2429cec04656c3be540282798

Observation 95ad9b7d-786d-4070-b1d4-7e89e4160e61 · inbound

Measuring the practice of shared-decision making (OPTION12): An Investigation into Open-sourced Smaller LLMs (OS-sLLMs) for Better Privacy and Sustainability cites this paper.

Measuring the practice of shared-decision making (OPTION12): An Investigation into Open-sourced Smaller LLMs (OS-sLLMs) for Better Privacy and Sustainability ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission

Reference 82

Resolution
metadata mismatch
local_arxiv, observed 2026-07-08T16:05:06.164808Z

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.

source=arxiv_source observed=2026-07-08T16:03:00.061804Z digest=sha256:e6d1d4b5bd7fdd951620a81fe65310dc3cbb030836912d9ad5f05d38883cf299

Observation 084358da-7a56-4711-a031-f857ec1b8ab0 · inbound

Measuring the practice of shared-decision making (OPTION12): An Investigation into Open-sourced Smaller LLMs (OS-sLLMs) for Better Privacy and Sustainability cites this paper.

Measuring the practice of shared-decision making (OPTION12): An Investigation into Open-sourced Smaller LLMs (OS-sLLMs) for Better Privacy and Sustainability ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission

Reference 82

Resolution
metadata mismatch
local_arxiv, observed 2026-07-11T01:27:46.329898Z

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.

source=arxiv_source observed=2026-07-11T01:18:34.785275Z digest=sha256:fca26434abd13dbc99eb09b50b69d8cbdac5fdaaba2caeb1a334e30995905da5

Observation a25716a5-e84b-4382-9e1c-4ffb8394c9a0 · inbound

The Large Cancer Assistant (LCA): A Model-Agnostic Orchestration Framework for Scalable Clinical Decision Support in Oncology cites this paper.

The Large Cancer Assistant (LCA): A Model-Agnostic Orchestration Framework for Scalable Clinical Decision Support in Oncology ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-07-08T03:04:28.414969Z

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.

source=arxiv_source observed=2026-07-08T02:59:58.330667Z digest=sha256:53253adec6833e499c20267979f13926356eb6472f38fc9c60a9f411e9957b1b

Observation 091fb081-d407-4ba2-9eab-7effe5307aed · inbound

Aligning Clinical Needs and AI Capabilities: A Survey on LLMs for Medical Reasoning cites this paper.

Aligning Clinical Needs and AI Capabilities: A Survey on LLMs for Medical Reasoning ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission

Reference 30

Resolution
metadata mismatch
local_arxiv, observed 2026-07-10T18:57:31.628748Z

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.

source=pdf_text observed=2026-07-10T18:50:22.827472Z digest=sha256:3d6f745f7f485ed76e0c60ad93097151ef6520b8f6fc93c283218ca013cb742e

Observation 9814c1f2-cb06-4a2e-8451-ef607790243a · inbound

Trajectory-Aware Clinical Risk Prediction via Severity-Grounded Knowledge Graphs and Retrieval-Augmented Generation cites this paper.

Trajectory-Aware Clinical Risk Prediction via Severity-Grounded Knowledge Graphs and Retrieval-Augmented Generation ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-02T12:34:40.764157Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T12:34:40.764157Z digest=sha256:ba7f07a848bfe9112fa6ab35e22dec09aa26691652af107280068ad7a426b959

Observation e3fe31af-c5d8-4e56-8c59-8cff2985d035 · inbound

Closed-Loop Validation-Repair for Healthcare Interoperability: A Multi-Model Study of Schema Compliance in Clinical LLMs cites this paper.

Closed-Loop Validation-Repair for Healthcare Interoperability: A Multi-Model Study of Schema Compliance in Clinical LLMs ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission

Reference 16

Resolution
unresolved
no resolver link, observed 2026-07-31T16:40:24.220008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T16:40:24.220008Z digest=sha256:300a33ba9ddd9b3ba834bfa5f4bbf0f8a34ee468c3b04f045c3ada38723f54a2

Observation 44fd1864-96eb-4a29-a92c-9b926ece6c27 · inbound

Aletheia: An Offline-First Clinical Decision Support System for Differential Diagnosis in Low-Resource Healthcare Settings cites this paper.

Aletheia: An Offline-First Clinical Decision Support System for Differential Diagnosis in Low-Resource Healthcare Settings ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-02T06:22:29.513987Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T06:22:29.513987Z digest=sha256:2cb31f8b63e75e51c2b3995377e71ef63e2c2e625ff81b854e1864de4f87306a

Observation 75076bbe-25c1-4374-aecd-1a3107e31e33 · inbound

OrganLens: Organ-Specific Representation Learning for CT Foundation Models cites this paper.

OrganLens: Organ-Specific Representation Learning for CT Foundation Models ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-01T03:19:39.246043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T03:19:39.246043Z digest=sha256:b08c78402b5d102591e51c3b56054f11d50ac0840b6a81035f5f693595373687

Observation d2270751-b768-463b-a2c4-b77eb2b30474 · inbound

Medical world models in healthcare: foundations, applications, and challenges for trustworthy clinical translation cites this paper.

Medical world models in healthcare: foundations, applications, and challenges for trustworthy clinical translation ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-01T03:02:43.850182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T03:02:43.850182Z digest=sha256:569479dc312d9f533a7ccac7d8b92a972946908d71deffb6b1ec01323d03e2bc

Observation 596c238e-0567-47b4-8444-f6723061e0b9 · inbound

EarlyDx: An Admission-Anchored Benchmark for Open-Ended Generation of Evidence-Supported ED-Encounter Diagnoses cites this paper.

EarlyDx: An Admission-Anchored Benchmark for Open-Ended Generation of Evidence-Supported ED-Encounter Diagnoses ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-03T00:28:32.018067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T00:28:32.018067Z digest=sha256:98a02fe9d2945fc583f79e0c3912a663f602a146899d44854951d8e9bffa86d1