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Paper Citation Record · LEDGER

Temporal Entailment Pretraining for Clinical Language Models over EHR Data

As of 17 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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T10:28:00.831613Z digest=sha256:7601812e798a0dd876d494d85e90894278591447c728662049b0252a6b993e5b

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:df32bddec843a1a4c432ff05df4dd2030a187e4954f834cf2c994318d0d21cbc

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=sha256:5c29449f2f36708537718b7315303a213faaad346ad4c82fce32e90712a57190

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T10:28:00.873932Z digest=sha256:f577077cb3677813cd9480d9b29b9ef099a94a201fd61849e9a2adf609eec5c7

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=sha256:5d6f57a8c0a660a09519fd1cadb29c684f17b8a1c6647c3eebbbefde89edcdc4

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=sha256:3b55528f0015e95f160918294b9a046f28c58c3184f0a863a8999ffee3650ae1

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:cd88511744617ea1045fc6362f041f68f1e374e6fe17bbf799b931153b16ba1b

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:def74d0785d8f7807f630e469722bcdcbf939445c557aefeeb7078ca34bc30fe

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T10:28:00.785031Z digest=sha256:2412484cdfe2ccc114d4ff3ab4468a38adba7e99bc0bade66b5e4d87eb8852ed

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=sha256:69ca461aa280c4fe7e1fa305c0cdea8b00b57fb8f2a8bb1544581cf20d29372d

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=sha256:662c317592eceeaaec0117340c95fbced6063d42241ddb52c6109924136f8b43

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=sha256:7d63c622ddf00cb01da84c84e1f4da2e315310596697e21d88448b992e0c1e7a

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=sha256:14cfd610b973fa75a8ce8786f93b4247f743dfe35b88955f1cb4b6b8d1564c8c

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=sha256:2606463b9fe50ecbf509e319aa2e66200d212539d77ee1a28d612cef6a65a7de

Pith citing papers

No inbound Pith citation observations are available.