Paper Citation Record · LEDGER

Towards Domain Specification of Embedding Models in Medicine

As of 17 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 3 inbound Pith citation observations for arXiv:2507.19407.

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

pith.paper-citation-record.v1
2507.19407 v2

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:25:56.745635Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T15:57:35.447104Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T20:46:13.344567Z

Reference resolution

43 of 43 outbound references displayed

verified exact0
verified fuzzy26
unresolved17
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation dfe17555-e5e9-4f52-b5a2-619098cbab0b · outbound

This paper cites A survey of word embeddings for clinical text.

Towards Domain Specification of Embedding Models in Medicine A survey of word embeddings for clinical text

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:25:57.563133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 961f97f4-e637-4439-909b-46ae12a15b74 · outbound

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

Towards Domain Specification of Embedding Models in Medicine Biobert: a pre-trained biomedical language representation model for biomedical text mining

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T14:25:56.519911Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1463d57-12f5-4287-aa69-53369440f8f2 · outbound

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

Towards Domain Specification of Embedding Models in Medicine BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T14:25:56.524780Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eaa76c6d-078d-48b8-9a11-cdec9904b5fa · outbound

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

Towards Domain Specification of Embedding Models in Medicine ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T14:25:56.530918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ab523f8-368a-49f5-85c7-29dafbdf180e · outbound

This paper cites Med-bert: pretrained contextualized embeddings on large-scale structured electronic health records for disease prediction.

Towards Domain Specification of Embedding Models in Medicine Med-bert: pretrained contextualized embeddings on large-scale structured electronic health records for disease prediction

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:25:57.534184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 037b8bad-7607-41b1-a23b-0eba15791f82 · outbound

This paper cites Text Embeddings by Weakly-Supervised Contrastive Pre-training.

Towards Domain Specification of Embedding Models in Medicine Text Embeddings by Weakly-Supervised Contrastive Pre-training

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T14:25:56.542550Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e81335a-51ac-4f9a-a404-e3eea4ff4b02 · outbound

This paper cites Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks.

Towards Domain Specification of Embedding Models in Medicine Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T14:25:56.549436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf5f0007-0457-47d8-b2a0-5c5d9bb03177 · outbound

This paper cites MTEB: Massive Text Embedding Benchmark.

Towards Domain Specification of Embedding Models in Medicine MTEB: Massive Text Embedding Benchmark

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T14:25:56.554418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc44d853-5a62-472f-9416-2985635790af · outbound

This paper cites Ehr phenotyping via jointly embedding medical concepts and words into a unified vector space.

Towards Domain Specification of Embedding Models in Medicine Ehr phenotyping via jointly embedding medical concepts and words into a unified vector space

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:25:57.515185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 0bd66b67-1029-4573-b80e-084e49842d89 · outbound

This paper cites Automated disease cohort selection using word embeddings from electronic health records.

Towards Domain Specification of Embedding Models in Medicine Automated disease cohort selection using word embeddings from electronic health records

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:25:57.498013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 923c594e-d547-4a78-a22b-2f6f2b502c50 · outbound

This paper cites Retrieval-augmented generation for knowledge- intensive nlp tasks.

Towards Domain Specification of Embedding Models in Medicine Retrieval-augmented generation for knowledge- intensive nlp tasks

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T14:25:56.570124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d494c204-8b3f-4d8a-88af-7103805ad46b · outbound

This paper cites Better synonyms for enriching biomedical search.

Towards Domain Specification of Embedding Models in Medicine Better synonyms for enriching biomedical search

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:25:57.470347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 9c6788a7-7cde-45ed-83be-73b2604c1d6d · outbound

This paper cites Combining structured and unstructured data for predictive models: a deep learning approach.

Towards Domain Specification of Embedding Models in Medicine Combining structured and unstructured data for predictive models: a deep learning approach

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:25:57.452878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c622b0d3-9c1a-437c-b815-2929d87380f9 · outbound

This paper cites SciBERT: A Pretrained Language Model for Scientific Text.

Towards Domain Specification of Embedding Models in Medicine SciBERT: A Pretrained Language Model for Scientific Text

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T14:25:56.586406Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9fe8fb7-2470-47dd-8e64-3dbdb8ef845b · outbound

This paper cites M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation.

Towards Domain Specification of Embedding Models in Medicine M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T14:25:56.591916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b6e896d-a054-4fcc-b940-e1611d50495e · outbound

This paper cites Towards General Text Embeddings with Multi-stage Contrastive Learning.

Towards Domain Specification of Embedding Models in Medicine Towards General Text Embeddings with Multi-stage Contrastive Learning

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T14:25:56.597808Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb9fa701-e959-4c5c-96ba-92cb31992c0a · outbound

This paper cites Nomic Embed: Training a Reproducible Long Context Text Embedder.

Towards Domain Specification of Embedding Models in Medicine Nomic Embed: Training a Reproducible Long Context Text Embedder

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T14:25:56.602942Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 629fe2a7-7759-4bb5-bdd6-1ee77e0754fe · outbound

This paper cites exbert: Extending pre-trained models with domain-specific vocabulary under constrained training resources.

Towards Domain Specification of Embedding Models in Medicine exbert: Extending pre-trained models with domain-specific vocabulary under constrained training resources

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:25:57.436712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 7b9b3795-2499-4ad3-9308-247830511b01 · outbound

This paper cites GatorTron: A Large Clinical Language Model to Unlock Patient Information from Unstructured Electronic Health Records.

Towards Domain Specification of Embedding Models in Medicine GatorTron: A Large Clinical Language Model to Unlock Patient Information from Unstructured Electronic Health Records

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T14:25:56.614017Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f1edb69-ab7a-40ab-bbdb-b8396cf83fc6 · outbound

This paper cites Biosimcse: Biomedical sentence embeddings using contrastive learning.

Towards Domain Specification of Embedding Models in Medicine Biosimcse: Biomedical sentence embeddings using contrastive learning

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:25:57.419587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a2f6a54b-9a91-4cb5-a91e-1bc6f78c066a · outbound

This paper cites Self-supervised segment contrastive learning for medical document representation.

Towards Domain Specification of Embedding Models in Medicine Self-supervised segment contrastive learning for medical document representation

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:25:57.403350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 1b2859dd-1c7f-4d75-bf37-d5f85d211409 · outbound

This paper cites Adaption bert for medical information processing with chatgpt and contrastive learning.

Towards Domain Specification of Embedding Models in Medicine Adaption bert for medical information processing with chatgpt and contrastive learning

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:25:57.385822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6986d566-63bf-403f-ac8f-78f0bb620b91 · outbound

This paper cites Notecontrast: Contrastive language- diagnostic pretraining for medical text.

Towards Domain Specification of Embedding Models in Medicine Notecontrast: Contrastive language- diagnostic pretraining for medical text

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:25:57.367649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ab7aa7fe-684b-4104-a9e1-6f588b5047eb · outbound

This paper cites Metadata-induced contrastive learning for zero-shot multi-label text classification.

Towards Domain Specification of Embedding Models in Medicine Metadata-induced contrastive learning for zero-shot multi-label text classification

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:25:57.349489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 388f8944-1d20-4c03-b64a-e4054036afdd · outbound

This paper cites Medembed: Medical-focused embedding models, 2024.

Towards Domain Specification of Embedding Models in Medicine Medembed: Medical-focused embedding models, 2024

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:25:57.330606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 1f5f6111-21c1-4632-8235-a83a074da5bd · outbound

This paper cites BioLORD–2023: Semantic textual representations fusing large language models and clinical knowledge graph insights.

Towards Domain Specification of Embedding Models in Medicine BioLORD–2023: Semantic textual representations fusing large language models and clinical knowledge graph insights

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:25:57.308345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4180135c-8109-48e2-8510-322bb2238f6a · outbound

This paper cites ChemTEB: Chemical Text Embedding Benchmark, an Overview of Embedding Models Performance & Efficiency on a Specific Domain.

Towards Domain Specification of Embedding Models in Medicine ChemTEB: Chemical Text Embedding Benchmark, an Overview of Embedding Models Performance & Efficiency on a Specific Domain

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T14:25:56.657533Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b13fc8b2-c641-49ba-be10-3bab81ae0872 · outbound

This paper cites A scalable framework for benchmarking embedding models for semantic medical tasks.

Towards Domain Specification of Embedding Models in Medicine A scalable framework for benchmarking embedding models for semantic medical tasks

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:25:57.281572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation efa9a291-4da4-48fd-8524-c174c6256ae1 · outbound

This paper cites Introducing hemteb: An open-source benchmark for health information retrieval, 2024.

Towards Domain Specification of Embedding Models in Medicine Introducing hemteb: An open-source benchmark for health information retrieval, 2024

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:25:57.263021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d538be84-087e-4f96-8fdf-a1963125f8c3 · outbound

This paper cites Benchmarking transformer embedding models for biomedical terminology standardization.

Towards Domain Specification of Embedding Models in Medicine Benchmarking transformer embedding models for biomedical terminology standardization

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:25:57.244497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 94de14fc-9e8d-4c25-86f5-125228b0f6ea · outbound

This paper cites Pubmed, 1996.

Towards Domain Specification of Embedding Models in Medicine Pubmed, 1996

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:25:57.226020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 01d31651-8adc-4a6b-8783-7ff3df1c9d83 · outbound

This paper cites Pubmed central, 2000.

Towards Domain Specification of Embedding Models in Medicine Pubmed central, 2000

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:25:57.206977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 8e49fd93-5277-43a5-9e8b-b77892c59e7e · outbound

This paper cites Mimic-iv, a freely accessible electronic health record dataset.

Towards Domain Specification of Embedding Models in Medicine Mimic-iv, a freely accessible electronic health record dataset

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T14:25:56.689356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 623a5f8b-f129-486b-8343-85562fd3f903 · outbound

This paper cites Clinicaltrials.gov, 2000.

Towards Domain Specification of Embedding Models in Medicine Clinicaltrials.gov, 2000

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:25:57.175268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a72bc677-9e06-4ea5-b3ac-c3cfccfc232e · outbound

This paper cites biorxiv: the preprint server for biology.

Towards Domain Specification of Embedding Models in Medicine biorxiv: the preprint server for biology

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:25:57.154793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a02d7ebb-a582-43f4-a6bb-df17d06ea829 · outbound

This paper cites medrxiv, 2019.

Towards Domain Specification of Embedding Models in Medicine medrxiv, 2019

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:25:57.132880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4a52ddd7-98e3-45b6-9ada-4d61956e8abd · outbound

This paper cites Medmcqa: A large-scale multi-subject multi-choice dataset for medical domain question answering.

Towards Domain Specification of Embedding Models in Medicine Medmcqa: A large-scale multi-subject multi-choice dataset for medical domain question answering

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-06T14:25:56.712977Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa9d2d0a-c6da-4b37-a34b-37e0c9d6691a · outbound

This paper cites What disease does this patient have? a large-scale open domain question answering dataset from medical exams.

Towards Domain Specification of Embedding Models in Medicine What disease does this patient have? a large-scale open domain question answering dataset from medical exams

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-06T14:25:56.718017Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2825ae6d-0ee9-4834-a2f1-e9b60fea118d · outbound

This paper cites A question-entailment approach to question answering.

Towards Domain Specification of Embedding Models in Medicine A question-entailment approach to question answering

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:25:57.089537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d1c75e05-c957-4a2f-a019-5704950ba3f8 · outbound

This paper cites Trec-covid: constructing a pandemic information retrieval test collection.

Towards Domain Specification of Embedding Models in Medicine Trec-covid: constructing a pandemic information retrieval test collection

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:25:57.070649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation faa9636f-4432-45b5-81ee-39ba71d3f449 · outbound

This paper cites A full-text learning to rank dataset for medical information retrieval.

Towards Domain Specification of Embedding Models in Medicine A full-text learning to rank dataset for medical information retrieval

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:25:57.052348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4ceca129-4af3-4b26-a6b3-8735011a09b0 · outbound

This paper cites Decoupled Weight Decay Regularization.

Towards Domain Specification of Embedding Models in Medicine Decoupled Weight Decay Regularization

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-06T14:25:56.739961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3987eda8-a573-46ce-8709-33e9e9b24313 · outbound

This paper cites Deepspeed: System optimizations enable training deep learning models with over 100 billion parameters.

Towards Domain Specification of Embedding Models in Medicine Deepspeed: System optimizations enable training deep learning models with over 100 billion parameters

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:25:57.032728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Pith citing papers

Observation b8e41a1f-9a10-46ce-9f9d-6faa41c67812 · inbound

GAPrune: Gradient-Alignment Pruning for Domain-Aware Embeddings cites this paper.

GAPrune: Gradient-Alignment Pruning for Domain-Aware Embeddings Towards Domain Specification of Embedding Models in Medicine

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-15T15:57:35.447104Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e688f934-5d7e-4f11-88eb-805dada0e0eb · inbound

VeriLLMed: Interactive Visual Debugging of Medical Large Language Models with Knowledge Graphs cites this paper.

VeriLLMed: Interactive Visual Debugging of Medical Large Language Models with Knowledge Graphs Towards Domain Specification of Embedding Models in Medicine

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-11T20:46:13.347627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 2ac27194-7aa9-49aa-9ff7-476f117dd828 · inbound

VeriLLMed: Interactive Visual Debugging of Medical Large Language Models with Knowledge Graphs cites this paper.

VeriLLMed: Interactive Visual Debugging of Medical Large Language Models with Knowledge Graphs Towards Domain Specification of Embedding Models in Medicine

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-02T15:35:24.096467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.