Paper Citation Record · LEDGER

Revolutionizing Radiology Workflow with Factual and Efficient CXR Report Generation

As of 19 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2506.01118.

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

pith.paper-citation-record.v1
2506.01118 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:54:56.886214Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

26 of 26 outbound references displayed

verified exact0
verified fuzzy8
unresolved16
parse uncertain0
malformed identifier0
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f76d73e3-9310-43d7-9728-fe431dd51a15 · outbound

This paper cites arXiv preprint arXiv:2503.23512 (2025).

Revolutionizing Radiology Workflow with Factual and Efficient CXR Report Generation arXiv preprint arXiv:2503.23512 (2025)

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T11:54:55.725338Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a00997de-d357-4dc1-bb14-ee0bcccf1353 · outbound

This paper cites Rethinking Visual Dependency in Long-Context Reasoning for Large Vision-Language Models.

Revolutionizing Radiology Workflow with Factual and Efficient CXR Report Generation Rethinking Visual Dependency in Long-Context Reasoning for Large Vision-Language Models

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T11:54:55.753118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e7b7e51-594d-4561-8f13-6b6a7bceb95e · outbound

This paper cites In: Findings of the Association for Computational Linguistics, ACL 2024, Bangkok, Thailand and virtual meeting, August 11-16, 2024.

Revolutionizing Radiology Workflow with Factual and Efficient CXR Report Generation In: Findings of the Association for Computational Linguistics, ACL 2024, Bangkok, Thailand and virtual meeting, August 11-16, 2024

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T11:54:55.813350Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd184b4f-4aea-4b26-8cb7-dfc5ca28637c · outbound

This paper cites In: Findings of the Association for Computational Linguistics: EACL 2023.

Revolutionizing Radiology Workflow with Factual and Efficient CXR Report Generation In: Findings of the Association for Computational Linguistics: EACL 2023

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T11:54:55.854265Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 07e3ec92-8d30-4ef1-95f9-94d4983a3a45 · outbound

This paper cites Improving Medical Large Vision-Language Models with Abnormal-Aware Feedback.

Revolutionizing Radiology Workflow with Factual and Efficient CXR Report Generation Improving Medical Large Vision-Language Models with Abnormal-Aware Feedback

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T11:54:55.924812Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11c74da8-437d-40c2-a8b0-376f1b55708d · outbound

This paper cites Thread of Thought Unraveling Chaotic Contexts.

Revolutionizing Radiology Workflow with Factual and Efficient CXR Report Generation Thread of Thought Unraveling Chaotic Contexts

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T11:54:55.986013Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a298d4d-9f02-4226-a149-96a06ed0aaef · outbound

This paper cites In: The Thirteenth International Confer- ence on Learning Representations (2025),https://openreview.net/forum?id= N1vYivuSKq.

Revolutionizing Radiology Workflow with Factual and Efficient CXR Report Generation In: The Thirteenth International Confer- ence on Learning Representations (2025),https://openreview.net/forum?id= N1vYivuSKq

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:54:58.441520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e56c289b-79fa-496f-b88a-3f7abec512fb · outbound

This paper cites Enhancing Code LLMs with Reinforcement Learning in Code Generation: A Survey.

Revolutionizing Radiology Workflow with Factual and Efficient CXR Report Generation Enhancing Code LLMs with Reinforcement Learning in Code Generation: A Survey

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T11:54:56.057575Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c40f9778-7036-45a3-9529-5c49891d3d2e · outbound

This paper cites an unresolved cited work.

Revolutionizing Radiology Workflow with Factual and Efficient CXR Report Generation Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:54:58.314135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 74bc855e-6490-4f55-83b5-6f65fc340323 · outbound

This paper cites In: 58th ACM/IEEE Design Au- tomation Conference, DAC 2021, San Francisco, CA, USA, December 5-9, 2021.

Revolutionizing Radiology Workflow with Factual and Efficient CXR Report Generation In: 58th ACM/IEEE Design Au- tomation Conference, DAC 2021, San Francisco, CA, USA, December 5-9, 2021

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T11:54:56.161572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90c4119c-8d3a-41f0-9d71-e20f0e85f587 · outbound

This paper cites In: Proceedings of the ACM Web Conference 2022.

Revolutionizing Radiology Workflow with Factual and Efficient CXR Report Generation In: Proceedings of the ACM Web Conference 2022

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:54:58.208369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8670fa6e-5102-476b-9d56-33c57b7a6a25 · outbound

This paper cites The Shaky Foundations of Clinical Foundation Models: A Survey of Large Language Models and Foundation Models for EMRs.

Revolutionizing Radiology Workflow with Factual and Efficient CXR Report Generation The Shaky Foundations of Clinical Foundation Models: A Survey of Large Language Models and Foundation Models for EMRs

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T11:54:56.256500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f26c5734-9fe0-493c-a6a1-33e814523200 · outbound

This paper cites A Comprehensive Overview of Large Language Models.

Revolutionizing Radiology Workflow with Factual and Efficient CXR Report Generation A Comprehensive Overview of Large Language Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T11:54:56.285277Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a530e53-737b-42a5-ab31-8b314add7cad · outbound

This paper cites Authorea Preprints1, 1–26 (2023).

Revolutionizing Radiology Workflow with Factual and Efficient CXR Report Generation Authorea Preprints1, 1–26 (2023)

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:54:58.104626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5e4df372-0e5f-48c6-9594-9d2ddfa14836 · outbound

This paper cites The Debate Over Understanding in AI's Large Language Models.

Revolutionizing Radiology Workflow with Factual and Efficient CXR Report Generation The Debate Over Understanding in AI's Large Language Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T11:54:56.388816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 61e71fe4-85d5-41e7-ab53-4938074841fc · outbound

This paper cites Frontiers Artif.

Revolutionizing Radiology Workflow with Factual and Efficient CXR Report Generation Frontiers Artif

Reference 16

Resolution: metadata mismatch; raw_fallback, observed 2026-08-07T11:54:57.295200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3197c1eb-85d9-4193-97a8-3afe0b82c134 · outbound

This paper cites Journal of Medical Internet Research27, e59069 (2025).

Revolutionizing Radiology Workflow with Factual and Efficient CXR Report Generation Journal of Medical Internet Research27, e59069 (2025)

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:54:58.025695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d58acdba-55f5-4880-a7c7-b2f93f6cd8ed · outbound

This paper cites Communications Medicine5(1), 26 (2025).

Revolutionizing Radiology Workflow with Factual and Efficient CXR Report Generation Communications Medicine5(1), 26 (2025)

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:54:57.934192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 483b19ab-4748-4491-880f-0be286436f7d · outbound

This paper cites an unresolved cited work.

Revolutionizing Radiology Workflow with Factual and Efficient CXR Report Generation Unresolved cited work

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T11:54:56.598443Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 890bba10-dbab-42a0-bb05-5cb3d876e3c3 · outbound

This paper cites Me LLaMA: Foundation Large Language Models for Medical Applications.

Revolutionizing Radiology Workflow with Factual and Efficient CXR Report Generation Me LLaMA: Foundation Large Language Models for Medical Applications

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T11:54:56.644111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3065245-652b-437f-96b3-b5799961ec07 · outbound

This paper cites an unresolved cited work.

Revolutionizing Radiology Workflow with Factual and Efficient CXR Report Generation Unresolved cited work

Reference 21

Resolution: metadata mismatch; raw_fallback, observed 2026-08-07T11:54:57.157344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f57c4d82-d7a4-4992-92ea-777e9b2ad620 · outbound

This paper cites Journal of Medical Internet Research 26, e52399 (2024).

Revolutionizing Radiology Workflow with Factual and Efficient CXR Report Generation Journal of Medical Internet Research 26, e52399 (2024)

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:54:57.841042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 84382d35-64ca-41bf-8e97-b5572aa90833 · outbound

This paper cites Journal of Medical Internet Research27, e64486 (2025).

Revolutionizing Radiology Workflow with Factual and Efficient CXR Report Generation Journal of Medical Internet Research27, e64486 (2025)

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:54:57.764216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ade995d4-998b-48cd-a391-69ec6068964b · outbound

This paper cites PLOS Digital Health3(11), e0000662 (2024).

Revolutionizing Radiology Workflow with Factual and Efficient CXR Report Generation PLOS Digital Health3(11), e0000662 (2024)

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:54:57.686558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f518a756-ed34-4669-816b-9d32e017210e · outbound

This paper cites an unresolved cited work.

Revolutionizing Radiology Workflow with Factual and Efficient CXR Report Generation Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:54:57.582859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1e0aab9b-d157-4942-acaf-231b55fbfc9f · outbound

This paper cites ACM transactions on intelligent systems and technology15(3), 1–45 (2024).

Revolutionizing Radiology Workflow with Factual and Efficient CXR Report Generation ACM transactions on intelligent systems and technology15(3), 1–45 (2024)

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T11:54:56.886214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.