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Paper Citation Record · LEDGER

Exploring the Capabilities of Large Language Model Encoders for Image-Text Retrieval in Chest X-rays

As of 23 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 1 inbound Pith citation observation for arXiv:2509.15234.

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

pith.paper-citation-record.v1
2509.15234 v2

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T16:33:17.808608Z

measured 48 of 48 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-10T19:23:46.184189Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T23:00:50.533946Z

Reference resolution

47 of 47 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved47
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d01d3dc1-1179-4df7-b8e3-99032c767350 · outbound

This paper cites Mishkin, J.

Exploring the Capabilities of Large Language Model Encoders for Image-Text Retrieval in Chest X-rays Mishkin, J

Reference 1

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source=pdf_text observed=2026-08-04T16:33:13.760156Z digest=sha256:d0e3236f9cf7b1bf358cc9d5920cd6779258e75f64aa4c3bb57ecdda19e2c6e6

Observation 46c1dee9-d73a-4046-99c8-3f58faef5624 · outbound

This paper cites an unresolved cited work.

Exploring the Capabilities of Large Language Model Encoders for Image-Text Retrieval in Chest X-rays Unresolved cited work

Reference 2

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source=pdf_text observed=2026-08-04T16:33:13.854601Z digest=sha256:6bd32fdd91abec818d6c01579b9bbc717b9c4e1b4e2ee71bf9bd39813bf59323

Observation 86085ab5-c5a5-4a38-82ff-26aadd70a092 · outbound

This paper cites Çallı, E.

Exploring the Capabilities of Large Language Model Encoders for Image-Text Retrieval in Chest X-rays Çallı, E

Reference 3

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source=pdf_text observed=2026-08-04T16:33:13.947915Z digest=sha256:91f5fca120188773c23a73f698b526ae399b2aefa573d4e5086296318d74b973

Observation e8642379-ba05-4890-ac54-893538e50fa0 · outbound

This paper cites an unresolved cited work.

Exploring the Capabilities of Large Language Model Encoders for Image-Text Retrieval in Chest X-rays Unresolved cited work

Reference 4

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source=pdf_text observed=2026-08-04T16:33:14.031940Z digest=sha256:bc5aa3ebe310f7aa1567916b38af40383b51d990db5f6bf44153d05f7dee5fb8

Observation 5eaf43d6-aacd-4715-b312-689734d9fe3c · outbound

This paper cites Publicly Available Clinical BERT Embeddings.

Exploring the Capabilities of Large Language Model Encoders for Image-Text Retrieval in Chest X-rays Publicly Available Clinical BERT Embeddings

Reference 5

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source=pdf_text observed=2026-08-04T16:33:14.110141Z digest=sha256:183318c6c0d863ba3925a6962201e878a449870f4e6aa8c9efe8fec03ad66d47

Observation cc35852c-775a-4271-809f-6046fd411390 · outbound

This paper cites Boecking, N.

Exploring the Capabilities of Large Language Model Encoders for Image-Text Retrieval in Chest X-rays Boecking, N

Reference 6

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source=pdf_text observed=2026-08-04T16:33:14.226088Z digest=sha256:b780d69ada281148c2ca8bb1a77d88962b8b8a2aa26cd0ce54b3765dd5fc32d0

Observation 5aeb4cb3-edbe-4847-b00b-c921ea38fe02 · outbound

This paper cites Bannur, S.

Exploring the Capabilities of Large Language Model Encoders for Image-Text Retrieval in Chest X-rays Bannur, S

Reference 7

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source=pdf_text observed=2026-08-04T16:33:14.323123Z digest=sha256:ede2cf0b7cd7c504c3135fd29a2749c6adf932636e70be90f097e27546e81fe5

Observation 11c3b678-5cf4-449d-bf78-e34e39acc0aa · outbound

This paper cites an unresolved cited work.

Exploring the Capabilities of Large Language Model Encoders for Image-Text Retrieval in Chest X-rays Unresolved cited work

Reference 8

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source=pdf_text observed=2026-08-04T16:33:14.413261Z digest=sha256:de56e5ca847b7b64bbe76a59e2403d225d9e1c0e89016b189e6456e56798759b

Observation 1370ad1e-a9c6-45b5-9136-8cbc0775c8b9 · outbound

This paper cites Johnson, L.

Exploring the Capabilities of Large Language Model Encoders for Image-Text Retrieval in Chest X-rays Johnson, L

Reference 9

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source=pdf_text observed=2026-08-04T16:33:14.491403Z digest=sha256:3277a498967857197843979640f6d6b2ab618e24fccd2bc2b5aed9719a4156db

Observation a89927f7-59f9-4c1f-a155-25b5a2850c4c · outbound

This paper cites CheXpert Plus: Augmenting a Large Chest X-ray Dataset with Text Radiology Reports, Patient Demographics and Additional Image Formats.

Exploring the Capabilities of Large Language Model Encoders for Image-Text Retrieval in Chest X-rays CheXpert Plus: Augmenting a Large Chest X-ray Dataset with Text Radiology Reports, Patient Demographics and Additional Image Formats

Reference 10

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source=pdf_text observed=2026-08-04T16:33:14.574804Z digest=sha256:5b6c5981fa9591fbc3e5294b3f8572c098901c1d8d40ca60231585892997e54e

Observation 6a548834-b491-4783-ae3d-5689909b030e · outbound

This paper cites Bustos, A.

Exploring the Capabilities of Large Language Model Encoders for Image-Text Retrieval in Chest X-rays Bustos, A

Reference 11

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source=pdf_text observed=2026-08-04T16:33:14.697474Z digest=sha256:022714c39c92fa85ac5fe2be196097db0042aee4662fe23fdd149b1e8e64a470

Observation 9b13ae4c-cf54-4e8e-b547-dbe2946f4d6d · outbound

This paper cites Demner-Fushman, M.

Exploring the Capabilities of Large Language Model Encoders for Image-Text Retrieval in Chest X-rays Demner-Fushman, M

Reference 12

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source=pdf_text observed=2026-08-04T16:33:14.776531Z digest=sha256:5f3ff34790504ca2dc223b8d55ede6ad11e3e2ebd6a3c0edf6e829ca661500bf

Observation ce10fec5-2717-4232-ad73-6adee0f3c208 · outbound

This paper cites LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders.

Exploring the Capabilities of Large Language Model Encoders for Image-Text Retrieval in Chest X-rays LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders

Reference 13

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source=pdf_text observed=2026-08-04T16:33:14.837168Z digest=sha256:246aee3e029dc5abd742ae7f6a0c1c8ec9f8aca52461ccbbebe8d07b28e77867

Observation dd06970b-bde1-4b9e-bb63-8e253feb48f9 · outbound

This paper cites Huang, A.

Exploring the Capabilities of Large Language Model Encoders for Image-Text Retrieval in Chest X-rays Huang, A

Reference 14

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source=pdf_text observed=2026-08-04T16:33:14.895578Z digest=sha256:d3128d95773fb0dc6c4a947d0c5660295775b4dc44c6a6420ec4fc869b5d6e1a

Observation eb3ff32e-61f6-4d81-8ed4-4bd584f370ef · outbound

This paper cites Zhang, H.

Exploring the Capabilities of Large Language Model Encoders for Image-Text Retrieval in Chest X-rays Zhang, H

Reference 15

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source=pdf_text observed=2026-08-04T16:33:14.966969Z digest=sha256:7af546454ffa7f07a53a676115d0048b71978f3e0b710042eba5ad81ccb75072

Observation c8b3db20-3bd1-4e2d-bb15-8cdb871990d1 · outbound

This paper cites an unresolved cited work.

Exploring the Capabilities of Large Language Model Encoders for Image-Text Retrieval in Chest X-rays Unresolved cited work

Reference 16

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source=pdf_text observed=2026-08-04T16:33:15.036453Z digest=sha256:466319ae46727bffd2aa6a29dfd30c3d6fb7d95b847ab7c6d18d2b154b2a5373

Observation a09ab3f1-71d4-4da4-86a7-7dd712666221 · outbound

This paper cites an unresolved cited work.

Exploring the Capabilities of Large Language Model Encoders for Image-Text Retrieval in Chest X-rays Unresolved cited work

Reference 17

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source=pdf_text observed=2026-08-04T16:33:15.113364Z digest=sha256:6b507d3a205500fe15af5826da236360a083ec06f6208dea65c0cc795d804169

Observation f36cddcc-627a-4cbd-a5ee-66005804b0ee · outbound

This paper cites BiomedCLIP: a multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairs.

Exploring the Capabilities of Large Language Model Encoders for Image-Text Retrieval in Chest X-rays BiomedCLIP: a multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairs

Reference 18

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source=pdf_text observed=2026-08-04T16:33:15.209923Z digest=sha256:2afc53a18200105b516b6cae2125ebc01e34dec06d7d6e3e6f4785919894e565

Observation 45b0f36e-df49-4450-bd44-624cda12b6f3 · outbound

This paper cites an unresolved cited work.

Exploring the Capabilities of Large Language Model Encoders for Image-Text Retrieval in Chest X-rays Unresolved cited work

Reference 19

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source=pdf_text observed=2026-08-04T16:33:15.303494Z digest=sha256:d1a5feeeec93cc1d0ed3a03db54c59ea99e526fb15a008ca28d2039802b4e56e

Observation 16ba3e8b-b482-42c0-b29d-152ec49b0d3a · outbound

This paper cites ReXrank: A Public Leaderboard for AI-Powered Radiology Report Generation.

Exploring the Capabilities of Large Language Model Encoders for Image-Text Retrieval in Chest X-rays ReXrank: A Public Leaderboard for AI-Powered Radiology Report Generation

Reference 20

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source=pdf_text observed=2026-08-04T16:33:15.357777Z digest=sha256:faa53dfba642232aeea385c59261b4bff2fc35a2fb6be8b2aa0c43ac02a8967b

Observation 9f6de6b6-3ed6-4dea-967f-124c76fc5595 · outbound

This paper cites MAIRA-2: Grounded Radiology Report Generation.

Exploring the Capabilities of Large Language Model Encoders for Image-Text Retrieval in Chest X-rays MAIRA-2: Grounded Radiology Report Generation

Reference 21

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source=pdf_text observed=2026-08-04T16:33:15.413715Z digest=sha256:442296eb3fc7d829bcab783c3115f82f794c3b265ed87ca0392475e3fb07035a

Observation c2ae2297-0477-41fb-9c39-d175384f9aca · outbound

This paper cites A Vision-Language Foundation Model to Enhance Efficiency of Chest X-ray Interpretation.

Exploring the Capabilities of Large Language Model Encoders for Image-Text Retrieval in Chest X-rays A Vision-Language Foundation Model to Enhance Efficiency of Chest X-ray Interpretation

Reference 22

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source=pdf_text observed=2026-08-04T16:33:15.458286Z digest=sha256:832e8cc1bd8c2be009fb7fc6d0b59c37e02cece496a3743351ff6d31580b9880

Observation 95c7003b-c78e-42a3-a18a-2d5882a8fdae · outbound

This paper cites CheXbert: Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT.

Exploring the Capabilities of Large Language Model Encoders for Image-Text Retrieval in Chest X-rays CheXbert: Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT

Reference 23

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source=pdf_text observed=2026-08-04T16:33:15.515018Z digest=sha256:9e289dec920aca9cced467363fbf054eb971d51e470b0e4edbb6b8f64417c91a

Observation 0e0f1394-c5d9-43b2-a6b7-3221ae2d6b94 · outbound

This paper cites RadGraph: Extracting Clinical Entities and Relations from Radiology Reports.

Exploring the Capabilities of Large Language Model Encoders for Image-Text Retrieval in Chest X-rays RadGraph: Extracting Clinical Entities and Relations from Radiology Reports

Reference 24

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source=pdf_text observed=2026-08-04T16:33:15.592440Z digest=sha256:ec8520895c33ff31b0de5684055f975955c4837ce28125f40b53778c0d14e046

Observation 00b36930-3124-417f-8bac-b60aa8d21b55 · outbound

This paper cites GREEN: Generative Radiology Report Evaluation and Error Notation.

Exploring the Capabilities of Large Language Model Encoders for Image-Text Retrieval in Chest X-rays GREEN: Generative Radiology Report Evaluation and Error Notation

Reference 25

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source=pdf_text observed=2026-08-04T16:33:15.713278Z digest=sha256:7b17348749f9f252aede710c51c2eedcc5fc646552df78fbe653a0b047dd11ed

Observation ee425e2c-9bd7-4ac8-a93e-06facaeccea7 · outbound

This paper cites NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models.

Exploring the Capabilities of Large Language Model Encoders for Image-Text Retrieval in Chest X-rays NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models

Reference 26

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source=pdf_text observed=2026-08-04T16:33:15.820428Z digest=sha256:2f2f9985eadf1a9333e6a2a9d70009c5656b150e76c3b50a6336cba0753d4917

Observation 5501e52e-2cf8-42a7-aae0-636f7293b3ba · outbound

This paper cites LLM Embeddings for Deep Learning on Tabular Data.

Exploring the Capabilities of Large Language Model Encoders for Image-Text Retrieval in Chest X-rays LLM Embeddings for Deep Learning on Tabular Data

Reference 27

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source=pdf_text observed=2026-08-04T16:33:15.905501Z digest=sha256:81ac379d36a050b8c44cb39b9df35225e01b5ce79ba4ca53232d681a2da00105

Observation 86c8d3c2-7555-4cae-bfae-aa6b103bbe9f · outbound

This paper cites NoteLLM-2: Multimodal Large Representation Models for Recommendation.

Exploring the Capabilities of Large Language Model Encoders for Image-Text Retrieval in Chest X-rays NoteLLM-2: Multimodal Large Representation Models for Recommendation

Reference 28

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source=pdf_text observed=2026-08-04T16:33:16.014946Z digest=sha256:16cab0bd6ac25e61c1aacdbb870e7dc8dacc3d4eb276a68825717cd0319790ed

Observation d5c9709c-47f3-4954-b0fe-718707e715e5 · outbound

This paper cites BMRetriever: Tuning Large Language Models as Better Biomedical Text Retrievers.

Exploring the Capabilities of Large Language Model Encoders for Image-Text Retrieval in Chest X-rays BMRetriever: Tuning Large Language Models as Better Biomedical Text Retrievers

Reference 29

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no resolver link, observed 2026-08-04T16:33:16.136080Z

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source=pdf_text observed=2026-08-04T16:33:16.136080Z digest=sha256:d176d603b439747b6668175d0d7f0b5bf9ded18d9759b008cbf42a4cbbffbfdb

Observation 37d74310-373f-480c-878c-7976674ae219 · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

Exploring the Capabilities of Large Language Model Encoders for Image-Text Retrieval in Chest X-rays Gemini: A Family of Highly Capable Multimodal Models

Reference 30

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source=pdf_text observed=2026-08-04T16:33:16.205021Z digest=sha256:657e8a876a74f78f86dce47b653586245ad07f4050d33b2da4fb6722c9f44e14

Observation d61d8552-6371-4882-804e-c5a68aa12952 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Exploring the Capabilities of Large Language Model Encoders for Image-Text Retrieval in Chest X-rays DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 31

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source=pdf_text observed=2026-08-04T16:33:16.292573Z digest=sha256:3fb2ede449ed1da4ca17bf6311a6d4d7ab2c98cb1b031c9681105a23bd0312c2

Observation 84c7cf7c-66c0-484d-8e7c-85b799b2a2d5 · outbound

This paper cites CheX-GPT: Harnessing Large Language Models for Enhanced Chest X-ray Report Labeling.

Exploring the Capabilities of Large Language Model Encoders for Image-Text Retrieval in Chest X-rays CheX-GPT: Harnessing Large Language Models for Enhanced Chest X-ray Report Labeling

Reference 32

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source=pdf_text observed=2026-08-04T16:33:16.365797Z digest=sha256:b15b26a32ebf42018d07014935595f84da14514a368eb5a6680496436c736103

Observation fad01336-9d63-4983-84bd-97b968d8bf31 · outbound

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

Exploring the Capabilities of Large Language Model Encoders for Image-Text Retrieval in Chest X-rays BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 33

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source=pdf_text observed=2026-08-04T16:33:16.431907Z digest=sha256:a089c5236850fb9d1b4fe7a1b7d37f9855c1325e89f997eb6a0435b5a39402fb

Observation 4971dd82-4cd3-4a50-9234-5c81d1f6d36b · outbound

This paper cites The Llama 3 Herd of Models.

Exploring the Capabilities of Large Language Model Encoders for Image-Text Retrieval in Chest X-rays The Llama 3 Herd of Models

Reference 34

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source=pdf_text observed=2026-08-04T16:33:16.516585Z digest=sha256:8216ec19198703d2c4fbf4519414c99420107be2d8bd81ee7d73dc009bffb10b

Observation 66902a68-7887-4154-af9d-22ffa3caebd5 · outbound

This paper cites an unresolved cited work.

Exploring the Capabilities of Large Language Model Encoders for Image-Text Retrieval in Chest X-rays Unresolved cited work

Reference 35

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source=pdf_text observed=2026-08-04T16:33:16.637354Z digest=sha256:14f03231a9f58a2ae6bb3e2bf758eb701fd9032b0e738942e08919d8424682b6

Observation b009a6ea-7f87-4c37-9851-8c50da7343e6 · outbound

This paper cites RaTEScore: A Metric for Radiology Report Generation.

Exploring the Capabilities of Large Language Model Encoders for Image-Text Retrieval in Chest X-rays RaTEScore: A Metric for Radiology Report Generation

Reference 36

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source=pdf_text observed=2026-08-04T16:33:16.744838Z digest=sha256:42e16d6ccd454605c9377dd3c21f53f9537bdbfafc5f1b25f602278dee091023

Observation 79ee6baf-0da5-4b4e-a451-0e7f9b70a8f1 · outbound

This paper cites LLM-RadJudge: Achieving Radiologist-Level Evaluation for X-Ray Report Generation.

Exploring the Capabilities of Large Language Model Encoders for Image-Text Retrieval in Chest X-rays LLM-RadJudge: Achieving Radiologist-Level Evaluation for X-Ray Report Generation

Reference 37

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no resolver link, observed 2026-08-04T16:33:16.871286Z

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Observation d8e16df2-dc1e-4a99-ad20-079c1bf65fb6 · outbound

This paper cites an unresolved cited work.

Exploring the Capabilities of Large Language Model Encoders for Image-Text Retrieval in Chest X-rays Unresolved cited work

Reference 38

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Observation f110e60d-a0da-42cd-8325-366ddfb8ef95 · outbound

This paper cites Ko, C.-M.

Exploring the Capabilities of Large Language Model Encoders for Image-Text Retrieval in Chest X-rays Ko, C.-M

Reference 39

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no resolver link, observed 2026-08-04T16:33:17.068218Z

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Observation 552f5260-574c-4067-82f7-84a2c165d737 · outbound

This paper cites Huang, L.

Exploring the Capabilities of Large Language Model Encoders for Image-Text Retrieval in Chest X-rays Huang, L

Reference 40

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no resolver link, observed 2026-08-04T16:33:17.153491Z

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Observation 2be127b3-4903-4de9-b588-f1771235a348 · outbound

This paper cites year old woman with spontaneous PTX // Assess for PTX or interval change s/p CT placed to WS.

Exploring the Capabilities of Large Language Model Encoders for Image-Text Retrieval in Chest X-rays year old woman with spontaneous PTX // Assess for PTX or interval change s/p CT placed to WS

Reference 41

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unresolved
no resolver link, observed 2026-08-04T16:33:17.213180Z

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Observation 3332d9b2-4890-41dd-8fe0-b1ba1965b081 · outbound

This paper cites mild”→“moderate.

Exploring the Capabilities of Large Language Model Encoders for Image-Text Retrieval in Chest X-rays mild”→“moderate

Reference 42

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unresolved
no resolver link, observed 2026-08-04T16:33:17.324669Z

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Observation 304a9ffe-a742-4093-b3c4-126900f3c041 · outbound

This paper cites an unresolved cited work.

Exploring the Capabilities of Large Language Model Encoders for Image-Text Retrieval in Chest X-rays Unresolved cited work

Reference 43

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no resolver link, observed 2026-08-04T16:33:17.373407Z

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Observation e21688db-6dbc-47b6-897a-e69718c83edb · outbound

This paper cites Reticulonodular pattern.

Exploring the Capabilities of Large Language Model Encoders for Image-Text Retrieval in Chest X-rays Reticulonodular pattern

Reference 44

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no resolver link, observed 2026-08-04T16:33:17.481988Z

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Observation c636bce7-074f-4714-a646-0a38765fcce9 · outbound

This paper cites left), distribution (upper lobes, lower lobes, basilar, etc.), severity (mild, moderate, severe), and comparisons to prior images.

Exploring the Capabilities of Large Language Model Encoders for Image-Text Retrieval in Chest X-rays left), distribution (upper lobes, lower lobes, basilar, etc.), severity (mild, moderate, severe), and comparisons to prior images

Reference 45

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no resolver link, observed 2026-08-04T16:33:17.595014Z

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Observation 72daf0ef-1934-4cd6-92c8-49a482dafc8a · outbound

This paper cites Reticular opacity in BLLF.

Exploring the Capabilities of Large Language Model Encoders for Image-Text Retrieval in Chest X-rays Reticular opacity in BLLF

Reference 46

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no resolver link, observed 2026-08-04T16:33:17.722740Z

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Observation 8764632c-c74c-4083-b822-c1867ce3d31f · outbound

This paper cites ‘json "gt.

Exploring the Capabilities of Large Language Model Encoders for Image-Text Retrieval in Chest X-rays ‘json "gt

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-04T16:33:17.808608Z

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source=pdf_text observed=2026-08-04T16:33:17.808608Z digest=sha256:ccf7b4c1ba823434df784d9eeb1f1a9282c040244d2e689dd74756b24984245e

Pith citing papers

Observation 106b0a6f-4bbc-455c-a41c-2adab416592d · inbound

Temporal Inversion for Learning Interval Change in Chest X-Rays cites this paper.

Temporal Inversion for Learning Interval Change in Chest X-Rays Exploring the Capabilities of Large Language Model Encoders for Image-Text Retrieval in Chest X-rays

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-06-02T03:04:34.366844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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