Paper Citation Record · LEDGER

High-Fidelity Pseudo-label Generation by Large Language Models for Training Robust Radiology Report Classifiers

As of 23 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 1 inbound Pith citation observation for arXiv:2505.01693.

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

pith.paper-citation-record.v1
2505.01693 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:17:30.113626Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T21:40:16.052239Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T19:07:17.928368Z

Reference resolution

30 of 30 outbound references displayed

verified exact0
verified fuzzy18
unresolved12
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c1ff486b-105c-4075-bb74-474c75178ff5 · outbound

This paper cites Mimic-cxr, a de- identified publicly available database of chest radiographs with free-text reports,.

High-Fidelity Pseudo-label Generation by Large Language Models for Training Robust Radiology Report Classifiers Mimic-cxr, a de- identified publicly available database of chest radiographs with free-text reports,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:30.476817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 69587005-ec63-4851-aa25-b4d1d10a1ea3 · outbound

This paper cites Chexpert: A large chest radiograph dataset with uncertainty labels and expert comparison,.

High-Fidelity Pseudo-label Generation by Large Language Models for Training Robust Radiology Report Classifiers Chexpert: A large chest radiograph dataset with uncertainty labels and expert comparison,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:30.465668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0f53cf06-bd19-4ba9-8691-49e95d9b06c8 · outbound

This paper cites Enhancing intent understanding for ambiguous prompts through human-machine co-adaptation,.

High-Fidelity Pseudo-label Generation by Large Language Models for Training Robust Radiology Report Classifiers Enhancing intent understanding for ambiguous prompts through human-machine co-adaptation,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-16T04:17:30.024140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95ac68f2-76ef-4855-abd8-0c1bcd0e870f · outbound

This paper cites Natural language processing in radiology: a systematic review,.

High-Fidelity Pseudo-label Generation by Large Language Models for Training Robust Radiology Report Classifiers Natural language processing in radiology: a systematic review,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:30.456324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation dec24b04-0af6-4a7c-91de-f6b9e2caf993 · outbound

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

High-Fidelity Pseudo-label Generation by Large Language Models for Training Robust Radiology Report Classifiers CheXbert: Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-16T04:17:30.029517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b58725dd-9078-4e04-81fe-2b2c09d51954 · outbound

This paper cites A systematic review of natural language processing applied to radiology reports,.

High-Fidelity Pseudo-label Generation by Large Language Models for Training Robust Radiology Report Classifiers A systematic review of natural language processing applied to radiology reports,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:30.446421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f4472698-ab3b-4717-bb86-95afa2a19768 · outbound

This paper cites Utilizing bert for biomedical and clinical text mining,.

High-Fidelity Pseudo-label Generation by Large Language Models for Training Robust Radiology Report Classifiers Utilizing bert for biomedical and clinical text mining,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:30.436240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ed18fd12-8613-45dd-8284-25c494382d63 · outbound

This paper cites Thread of Thought Unraveling Chaotic Contexts.

High-Fidelity Pseudo-label Generation by Large Language Models for Training Robust Radiology Report Classifiers Thread of Thought Unraveling Chaotic Contexts

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-16T04:17:30.037819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58631f88-3b9e-4544-8c90-7b1e2b4653b8 · outbound

This paper cites Less is more: Vision representation compression for efficient video generation with large language models,.

High-Fidelity Pseudo-label Generation by Large Language Models for Training Robust Radiology Report Classifiers Less is more: Vision representation compression for efficient video generation with large language models,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-16T04:17:30.040513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e493ccfa-2d41-45e6-9486-2dcabdf8ad42 · outbound

This paper cites DeBERTa: Decoding-enhanced BERT with Disentangled Attention.

High-Fidelity Pseudo-label Generation by Large Language Models for Training Robust Radiology Report Classifiers DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-16T04:17:30.043208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d090605-78a5-43de-a2eb-9d2cbfd33b67 · outbound

This paper cites Weak to strong generalization for large language models with multi-capabilities,.

High-Fidelity Pseudo-label Generation by Large Language Models for Training Robust Radiology Report Classifiers Weak to strong generalization for large language models with multi-capabilities,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:30.419836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 794ad7fd-5eb6-431a-838c-6e49e274ea41 · outbound

This paper cites Attention is all you need,.

High-Fidelity Pseudo-label Generation by Large Language Models for Training Robust Radiology Report Classifiers Attention is all you need,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:30.408660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 19730192-7c5c-4529-8167-92239e633b7a · outbound

This paper cites Bert: Pre-training of deep bidirectional transformers for language understanding,.

High-Fidelity Pseudo-label Generation by Large Language Models for Training Robust Radiology Report Classifiers Bert: Pre-training of deep bidirectional transformers for language understanding,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:30.396366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7ef46bd8-43f5-4286-9d68-ed2a4189dcf0 · outbound

This paper cites Language mod- els are few-shot learners,.

High-Fidelity Pseudo-label Generation by Large Language Models for Training Robust Radiology Report Classifiers Language mod- els are few-shot learners,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:30.386035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9d68f4fe-429c-4191-bd0a-a7fc724b40e2 · outbound

This paper cites Scaling Laws for Neural Language Models.

High-Fidelity Pseudo-label Generation by Large Language Models for Training Robust Radiology Report Classifiers Scaling Laws for Neural Language Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-16T04:17:30.060478Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8492442b-324d-4531-a734-4c9c953de2d1 · outbound

This paper cites LaMDA: Language Models for Dialog Applications.

High-Fidelity Pseudo-label Generation by Large Language Models for Training Robust Radiology Report Classifiers LaMDA: Language Models for Dialog Applications

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-16T04:17:30.064439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f17faa96-15ff-4a4b-859c-f09f16b340a7 · outbound

This paper cites Palm: Scal- ing language modeling with pathways,.

High-Fidelity Pseudo-label Generation by Large Language Models for Training Robust Radiology Report Classifiers Palm: Scal- ing language modeling with pathways,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:30.374930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 4418f962-b72d-4d9a-8f14-da2705673052 · outbound

This paper cites Finetuned Language Models Are Zero-Shot Learners.

High-Fidelity Pseudo-label Generation by Large Language Models for Training Robust Radiology Report Classifiers Finetuned Language Models Are Zero-Shot Learners

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-16T04:17:30.070678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76731991-80b2-41dc-bc80-37d048105214 · outbound

This paper cites Improving cross-modal alignment for text- guided image inpainting,.

High-Fidelity Pseudo-label Generation by Large Language Models for Training Robust Radiology Report Classifiers Improving cross-modal alignment for text- guided image inpainting,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:30.364470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation abf2d5f5-5f45-40eb-ad0d-499bd4542e7a · outbound

This paper cites Visual in-context learning for large vision-language models,.

High-Fidelity Pseudo-label Generation by Large Language Models for Training Robust Radiology Report Classifiers Visual in-context learning for large vision-language models,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-16T04:17:30.077849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76e078f1-6d8c-4076-9177-6965508bb30e · outbound

This paper cites EmoBench-M: Benchmarking Emotional Intelligence for Multimodal Large Language Models.

High-Fidelity Pseudo-label Generation by Large Language Models for Training Robust Radiology Report Classifiers EmoBench-M: Benchmarking Emotional Intelligence for Multimodal Large Language Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-16T04:17:30.080904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5fcd7940-2c06-43ff-8662-029ce07deb67 · outbound

This paper cites Toward expert-level medical question answering with large language models,.

High-Fidelity Pseudo-label Generation by Large Language Models for Training Robust Radiology Report Classifiers Toward expert-level medical question answering with large language models,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:30.347153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e3acd257-55cf-487b-9756-547db321aebc · outbound

This paper cites Capabilities of GPT-4 on Medical Challenge Problems.

High-Fidelity Pseudo-label Generation by Large Language Models for Training Robust Radiology Report Classifiers Capabilities of GPT-4 on Medical Challenge Problems

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-16T04:17:30.086843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5f7cd31-253c-45a5-8f80-7ac28c4a6a99 · outbound

This paper cites Dr. bench: Diagnostic reasoning benchmark for clinical natural language processing,.

High-Fidelity Pseudo-label Generation by Large Language Models for Training Robust Radiology Report Classifiers Dr. bench: Diagnostic reasoning benchmark for clinical natural language processing,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:30.335574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation cd2596c1-95ba-4f3d-b602-18a3d719f8a4 · outbound

This paper cites Chatbots and large language models in radiology: a practical primer for clinical and research applications,.

High-Fidelity Pseudo-label Generation by Large Language Models for Training Robust Radiology Report Classifiers Chatbots and large language models in radiology: a practical primer for clinical and research applications,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:30.312396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 85957629-be7d-4897-b965-c029ce42c0d5 · outbound

This paper cites Large language models in simplifying radiological reports: systematic review,.

High-Fidelity Pseudo-label Generation by Large Language Models for Training Robust Radiology Report Classifiers Large language models in simplifying radiological reports: systematic review,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:30.301878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation dabcd3d3-c87d-49e1-9ef5-641b3eac83a5 · outbound

This paper cites Diffusion Model with Representation Alignment for Protein Inverse Folding.

High-Fidelity Pseudo-label Generation by Large Language Models for Training Robust Radiology Report Classifiers Diffusion Model with Representation Alignment for Protein Inverse Folding

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-16T04:17:30.102053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44d7857e-1a99-459f-8992-9d7562a5ae2d · outbound

This paper cites Adapted large language models can outperform medical experts in clinical text summarization,.

High-Fidelity Pseudo-label Generation by Large Language Models for Training Robust Radiology Report Classifiers Adapted large language models can outperform medical experts in clinical text summarization,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:30.324017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 52241bad-996c-449a-b09e-9140805cc18d · outbound

This paper cites Large language models in health care: Development, applications, and challenges,.

High-Fidelity Pseudo-label Generation by Large Language Models for Training Robust Radiology Report Classifiers Large language models in health care: Development, applications, and challenges,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:30.292914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b95e6230-9604-4a9f-afbc-797abe348806 · outbound

This paper cites Embracing large language models for medical applications: opportunities and challenges,.

High-Fidelity Pseudo-label Generation by Large Language Models for Training Robust Radiology Report Classifiers Embracing large language models for medical applications: opportunities and challenges,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:30.283670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Pith citing papers

Observation 85ed3e59-1a86-41f1-8bb3-514311f2edd5 · inbound

Beyond English benchmarks: clinical llm evaluation in Brazilian Portuguese cites this paper.

Beyond English benchmarks: clinical llm evaluation in Brazilian Portuguese High-Fidelity Pseudo-label Generation by Large Language Models for Training Robust Radiology Report Classifiers

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-07-02T19:07:17.930421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.