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Paper Citation Record · LEDGER

CheXbert: Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT

As of 3 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 inbound Pith citation observations for arXiv:2004.09167.

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

pith.paper-citation-record.v1
2004.09167 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-03T06:30:56.289259+00:00

measured 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T12:25:51.276276Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T06:29:37.809700Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation caeb3a07-cb99-4cbd-b570-7024a2eeaf5e · inbound

M4CXR: Exploring Multi-task Potentials of Multi-modal Large Language Models for Chest X-ray Interpretation cites this paper.

M4CXR: Exploring Multi-task Potentials of Multi-modal Large Language Models for Chest X-ray Interpretation CheXbert: Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT

Reference 45

Resolution
verified exact
arxiv_id, observed 2026-05-23T22:05:50.380274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-23T22:03:33.418989Z digest=sha256:c222d0e1d2b65806135bb24d88d0583cac6b386cdf237ded490f009bcde2b7e8

Observation d9d40805-1178-422e-b687-37024ee04a80 · inbound

MOSAIC: A Multilingual, Taxonomy-Agnostic, and Computationally Efficient Approach for Radiological Report Classification cites this paper.

MOSAIC: A Multilingual, Taxonomy-Agnostic, and Computationally Efficient Approach for Radiological Report Classification CheXbert: Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-21T22:44:24.408909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-21T22:43:18.327773Z digest=sha256:1c3c07aeaab412c255b6272281d0264e05dd60f29c2b88bbb2517ef92d714aaf

Observation 399b552f-097a-499c-92d9-48273eb52d55 · inbound

Beyond Classification Accuracy: Neural-MedBench and the Need for Deeper Reasoning Benchmarks cites this paper.

Beyond Classification Accuracy: Neural-MedBench and the Need for Deeper Reasoning Benchmarks CheXbert: Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT

Reference 25

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T13:31:25.614646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-18T13:26:58.309566Z digest=sha256:71e81a64dcdfeec16848d8115d298e638caaef9fe8530c279e14b30d4f2e92cf

Observation 569d66fb-c218-4e8c-bd3d-1640536b29a2 · inbound

AnatomiX, an Anatomy-Aware Grounded Multimodal Large Language Model for Chest X-Ray Interpretation cites this paper.

AnatomiX, an Anatomy-Aware Grounded Multimodal Large Language Model for Chest X-Ray Interpretation CheXbert: Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-03T12:25:51.276276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:25:51.276276Z digest=sha256:c53779a071f7de054b36dd567cc380216a752f888fbbd536826077b165fcf623

Observation 2007c4ee-d637-4f54-bdef-c0aa8f680e6d · inbound

Scaling medical imaging report generation with multimodal reinforcement learning cites this paper.

Scaling medical imaging report generation with multimodal reinforcement learning CheXbert: Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-03T08:29:47.422859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T08:29:47.422859Z digest=sha256:729aed167e742ae381391cbc8f9a3f31fca7c1d209c95f65675d6a687febf33c

Observation 222dcaec-6fee-4bfd-97d6-43c812b9491d · inbound

Gaze2Report: Radiology Report Generation via Visual-Gaze Prompt Tuning of LLMs cites this paper.

Gaze2Report: Radiology Report Generation via Visual-Gaze Prompt Tuning of LLMs CheXbert: Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT

Reference 33

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T23:15:47.862633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-10T19:16:42.980735Z digest=sha256:91256be0b59ef8ee2d9f4273e230a240ad92cc753deabfe78558892e28870890

Observation 9642f13c-3ed2-4c98-9de2-a8244fee8f53 · inbound

Enhancing Reinforcement Learning for Radiology Report Generation with Evidence-aware Rewards and Self-correcting Preference Learning cites this paper.

Enhancing Reinforcement Learning for Radiology Report Generation with Evidence-aware Rewards and Self-correcting Preference Learning CheXbert: Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-10T14:10:28.693196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-10T14:09:06.139625Z digest=sha256:ddfa007f7c974d99f0d1b58799fdb00f51693a0940cad04b28770f2f4e409ae8

Observation f127f9f6-a5e2-4b0f-bc71-0beff4c58842 · inbound

CheXmix: Unified Generative Pretraining for Vision Language Models in Medical Imaging cites this paper.

CheXmix: Unified Generative Pretraining for Vision Language Models in Medical Imaging CheXbert: Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT

Reference 35

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T19:16:09.765233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-08T12:22:11.995334Z digest=sha256:632361a757435f73e1b8aab935a388776c8699f4751df381f2cb78baa363c1d7

Observation 423a13e7-1f9b-4f8d-bf48-a47319d3975f · inbound

CT-FineBench: A Diagnostic Fidelity Benchmark for Fine-Grained Evaluation of CT Report Generation cites this paper.

CT-FineBench: A Diagnostic Fidelity Benchmark for Fine-Grained Evaluation of CT Report Generation CheXbert: Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT

Reference 2

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T22:01:12.374531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-08T03:36:19.324055Z digest=sha256:f07b2e4ecd7d89274f3baede356c1ce547b942cc6ab8d33e4691678f3b14fd2f

Observation 18515222-10d8-4de7-803d-54404fb8b452 · inbound

RadLite: Multi-Task LoRA Fine-Tuning of Small Language Models for CPU-Deployable Radiology AI cites this paper.

RadLite: Multi-Task LoRA Fine-Tuning of Small Language Models for CPU-Deployable Radiology AI CheXbert: Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-11T15:46:21.978608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-09T19:21:37.143665Z digest=sha256:4d6e4d06dc66e6e427be8ac2b2e87b848a015368ed35a619fb42471132e59503

Observation 8b9e6c78-5b52-47d2-9157-79a33d9e7e3c · inbound

CheXTemporal: A Dataset for Temporally-Grounded Reasoning in Chest Radiography cites this paper.

CheXTemporal: A Dataset for Temporally-Grounded Reasoning in Chest Radiography CheXbert: Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-13T06:07:22.213904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-13T06:06:44.019029Z digest=sha256:1cc95a7156a34c4789e00ffbd7058f6eac8c55711cd34f763ce6fa3cd9224b67

Observation bf3662fd-de6e-41bc-9ba0-5c790e94602c · inbound

AnchorDiff: Topology-Aware Masked Diffusion with Confidence-based Rewriting for Radiology Report Generation cites this paper.

AnchorDiff: Topology-Aware Masked Diffusion with Confidence-based Rewriting for Radiology Report Generation CheXbert: Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-20T15:38:26.732096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-20T15:34:46.329179Z digest=sha256:eb872fde853f833af2260dfb85e5db6eb4e0df2798530edbfafa6d635feef4e9

Observation 84a70899-7edc-467f-ac87-73298d809274 · inbound

BenSyc: Benchmarking Conversational Sycophancy and Human Alignment in LLMs for Bengali Contexts cites this paper.

BenSyc: Benchmarking Conversational Sycophancy and Human Alignment in LLMs for Bengali Contexts CheXbert: Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT

Reference 61

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T01:47:32.017094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-06-27T16:15:01.069458Z digest=sha256:828e66778b916eade6952a7a016a0874af464f02370c916389b618cd0b8f1207

Observation 76bb3044-3fe3-4792-b2af-877d989f9952 · inbound

Precision Recall Controllable Radiology Report Generation via Hybrid Natural Language and Clinical Reward Learning cites this paper.

Precision Recall Controllable Radiology Report Generation via Hybrid Natural Language and Clinical Reward Learning CheXbert: Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT

Reference 20

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T06:29:37.811254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-06-26T14:24:49.321248Z digest=sha256:f334d72d5614a97d575c1fe35363cd8cca6ed05a8d6bb25cf91edc8f5ad147d6

Observation bc6dede9-eca6-4356-ba0e-8292da33a23c · inbound

Precision Recall Controllable Radiology Report Generation via Hybrid Natural Language and Clinical Reward Learning cites this paper.

Precision Recall Controllable Radiology Report Generation via Hybrid Natural Language and Clinical Reward Learning CheXbert: Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT

Reference 20

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T23:19:02.363808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-07-03T23:16:52.446951Z digest=sha256:14ddd8b9c170bfb481f7e5d952456c1e789deb7b7a3ae0c6dca79dd4d91befb0