Pith. sign in

Paper Citation Record · LEDGER

Temporal Entailment Pretraining for Clinical Language Models over EHR Data

As of 20 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2504.18128.

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

pith.paper-citation-record.v1
2504.18128 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:28:00.904395Z

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

14 of 14 outbound references displayed

  • verified exact1
  • verified fuzzy2
  • unresolved11
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cde74d63-006f-4591-822d-b291edf7f55e · outbound

This paper cites Enhancing Antibiotic Stewardship using a Natural Language Approach for Better Feature Representation.

Temporal Entailment Pretraining for Clinical Language Models over EHR Data Enhancing Antibiotic Stewardship using a Natural Language Approach for Better Feature Representation

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-08-16T10:28:01.437586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T10:28:00.831613Z digest=sha256:d4fcad945a6ff1845513944a2a5522830e2d1f095ffe68ca87d9a313caa962c2

Observation 6838b550-5601-4590-a41f-eb0c9d905ba8 · outbound

This paper cites Publicly Available Clinical BERT Embeddings.

Temporal Entailment Pretraining for Clinical Language Models over EHR Data Publicly Available Clinical BERT Embeddings

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-16T10:28:00.727982Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:28:00.727982Z digest=sha256:a39e871f5b98a02e501ec334860d4aa06dd54c7b84024c3220431cb1a3f2d604

Observation b1a22d14-c2dd-4aee-879b-644e213affc8 · outbound

This paper cites Text Serialization and Their Relationship with the Conventional Paradigms of Tabular Machine Learning.

Temporal Entailment Pretraining for Clinical Language Models over EHR Data Text Serialization and Their Relationship with the Conventional Paradigms of Tabular Machine Learning

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-16T10:28:00.859268Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:28:00.859268Z digest=sha256:4856783ce61a8ee56b94c17abd4a5453b1c34825223c809dd20ff8c55364dabf

Observation 60f01db0-3094-4b2f-9e8e-0a0e8e5a0b5e · outbound

This paper cites Lessons from natural language inference in the clinical domain.

Temporal Entailment Pretraining for Clinical Language Models over EHR Data Lessons from natural language inference in the clinical domain

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:28:01.794935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T10:28:00.873932Z digest=sha256:15b30241729117cfdc36dfa92fef9277400b58a551b1a7a6e70a1bfc8a3791df

Observation ef65441b-69c9-43c6-9966-74d114b89b35 · outbound

This paper cites Masked Language Model Scoring.

Temporal Entailment Pretraining for Clinical Language Models over EHR Data Masked Language Model Scoring

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-16T10:28:00.879528Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:28:00.879528Z digest=sha256:2aafe13d24f207e52e95e930f79b5993cef43be6e4ab0efbd290265f67eb954b

Observation 369d23e3-9986-413d-a267-c98d9da5b2a4 · outbound

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

Temporal Entailment Pretraining for Clinical Language Models over EHR Data MOTOR: A Time-To-Event Foundation Model For Structured Medical Records

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-16T10:28:00.886245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:28:00.886245Z digest=sha256:1a9b92286fbfda038a7ba543ad996fdf95db777ee69e26cf1dbf6b3f22b4b249

Observation f774fc2f-bd60-428d-bb2f-e1b151cf98d2 · outbound

This paper cites RoFormer: Enhanced Transformer with Rotary Position Embedding.

Temporal Entailment Pretraining for Clinical Language Models over EHR Data RoFormer: Enhanced Transformer with Rotary Position Embedding

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-16T10:28:00.897382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:28:00.897382Z digest=sha256:1a9ddd85dd0645cf7da8e707b3526da2aabdbcb338545b7f903f583006a471a1

Observation 629bd261-bd31-47c7-b4bf-2f19d091394d · outbound

This paper cites Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference.

Temporal Entailment Pretraining for Clinical Language Models over EHR Data Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-16T10:28:00.904395Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:28:00.904395Z digest=sha256:58f3afd28d6236f462c987dfc92e301cbd704eeca128d7a300cdaefda453282a

Observation 060843a2-8bf2-4f13-95d8-76da1809e74b · outbound

This paper cites Deep learning based question generation using t5 transformer.

Temporal Entailment Pretraining for Clinical Language Models over EHR Data Deep learning based question generation using t5 transformer

Reference 2018

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:28:01.829000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T10:28:00.785031Z digest=sha256:72055ed4b3fffc18fef1daa2f771ee91beaa1a18b08c40ea70d0b152119d36c3

Observation ff07c116-56ab-4a78-8184-77b4c259a08d · outbound

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

Temporal Entailment Pretraining for Clinical Language Models over EHR Data BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 2019

Resolution
unresolved
no resolver link, observed 2026-08-16T10:28:00.758387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:28:00.758387Z digest=sha256:dd0a6ecea2f791e231f80d60adaa95fd01d81d41dbe69cf2e65e142a420470e7

Observation fb7701bf-cd47-4e53-9825-d0810eea8236 · outbound

This paper cites ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission.

Temporal Entailment Pretraining for Clinical Language Models over EHR Data ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-16T10:28:00.806761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:28:00.806761Z digest=sha256:7cd60bf87252ccca8bb27a2034ab5e5a24f867b71a5d37f73192b92eb58b2701

Observation 764cbfaf-63b0-4568-b1c9-e5aff8b01979 · outbound

This paper cites Clinical-Longformer and Clinical-BigBird: Transformers for long clinical sequences.

Temporal Entailment Pretraining for Clinical Language Models over EHR Data Clinical-Longformer and Clinical-BigBird: Transformers for long clinical sequences

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-16T10:28:00.847382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:28:00.847382Z digest=sha256:a7a0c05b318da23e41966ad1809c179aadab149575bef21fc2ccdbf004b35065

Observation d9409374-6ce0-48db-baf2-bdb145275c6c · outbound

This paper cites TabLLM: Few-shot Classification of Tabular Data with Large Language Models.

Temporal Entailment Pretraining for Clinical Language Models over EHR Data TabLLM: Few-shot Classification of Tabular Data with Large Language Models

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-16T10:28:00.793156Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:28:00.793156Z digest=sha256:cf1d89b1ac416beec43f469248d9dfb22cf63b18916685ac4edd4201d88f5e65

Observation f0195cc3-dc2e-4b0d-9f0a-d7192a3fd388 · outbound

This paper cites Can Large Language Models abstract Medical Coded Language?.

Temporal Entailment Pretraining for Clinical Language Models over EHR Data Can Large Language Models abstract Medical Coded Language?

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-16T10:28:00.822733Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:28:00.822733Z digest=sha256:e2a16babc71533573a6e7a97819e1f586da945c869898ffd7aee52838887b678

Pith citing papers

No inbound Pith citation observations are available.