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Paper Citation Record · LEDGER

FactCheXcker: Mitigating Measurement Hallucinations in Chest X-ray Report Generation Models

As of 15 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 0 inbound Pith citation observations for arXiv:2411.18672.

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

pith.paper-citation-record.v1
2411.18672 v3

Coverage vector

measured 52 of 52 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T11:10:30.834640Z

measured 52 of 52 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

52 of 52 outbound references displayed

  • verified exact0
  • verified fuzzy18
  • unresolved33
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cf460da2-62a0-4300-9aba-1f4f0ea4a547 · outbound

This paper cites Hallucination of Multimodal Large Language Models: A Survey.

FactCheXcker: Mitigating Measurement Hallucinations in Chest X-ray Report Generation Models Hallucination of Multimodal Large Language Models: A Survey

Reference 1

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Observation 5536ffeb-5548-4340-92bc-40de54317bad · outbound

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

FactCheXcker: Mitigating Measurement Hallucinations in Chest X-ray Report Generation Models MAIRA-2: Grounded Radiology Report Generation

Reference 2

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source=pdf_text observed=2026-08-12T11:10:30.597050Z digest=sha256:7b5c87c54450f12bbc6dc26f982222901cca6e807e6b668cb0916f05bfdd5337

Observation f65ab9fc-4078-4fe2-b66b-fa4a64b2875a · outbound

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

FactCheXcker: Mitigating Measurement Hallucinations in Chest X-ray Report Generation Models CheXpert Plus: Augmenting a Large Chest X-ray Dataset with Text Radiology Reports, Patient Demographics and Additional Image Formats

Reference 3

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Observation 9df157ab-deb9-4f63-8fd6-6e1941fc5088 · outbound

This paper cites Cross-Modal Causal Intervention for Medical Report Generation.

FactCheXcker: Mitigating Measurement Hallucinations in Chest X-ray Report Generation Models Cross-Modal Causal Intervention for Medical Report Generation

Reference 4

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source=pdf_text observed=2026-08-12T11:10:30.606947Z digest=sha256:aeb397406579405534fc7cca7d667fecf743e56f4f0891cb24d76e93d351ef75

Observation c2d50408-d07d-445b-a11e-90457be2cf18 · outbound

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

FactCheXcker: Mitigating Measurement Hallucinations in Chest X-ray Report Generation Models A Vision-Language Foundation Model to Enhance Efficiency of Chest X-ray Interpretation

Reference 5

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source=pdf_text observed=2026-08-12T11:10:30.612784Z digest=sha256:ef3557d53fe9d5aa2fc2b07ecbbff73455383123634b60adb3892f6310bf0faf

Observation 8db59069-1df3-450e-b2d4-c0f3f1a04f5a · outbound

This paper cites FacTool: Factuality Detection in Generative AI -- A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios.

FactCheXcker: Mitigating Measurement Hallucinations in Chest X-ray Report Generation Models FacTool: Factuality Detection in Generative AI -- A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios

Reference 6

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source=pdf_text observed=2026-08-12T11:10:30.617837Z digest=sha256:efb28a022af550a4e441718f0eba78349c1d510c74e8cef4a199ae53294d975f

Observation 49ee00c5-cb5c-42f6-9e83-0730c93eea30 · outbound

This paper cites TorchXRayVision: A library of chest X-ray datasets and models.

FactCheXcker: Mitigating Measurement Hallucinations in Chest X-ray Report Generation Models TorchXRayVision: A library of chest X-ray datasets and models

Reference 7

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Observation dec41fb7-0378-4778-be52-fa548d6a37c9 · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

FactCheXcker: Mitigating Measurement Hallucinations in Chest X-ray Report Generation Models Imagenet: A large-scale hierarchical image database

Reference 8

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source=pdf_text observed=2026-08-12T11:10:30.628751Z digest=sha256:362be274b6a5d6219a1e388a1dfe382ba4e732c402bc06dfbbe11f15a63a0c05

Observation 6afaf037-5b2c-4bc0-b5a7-56cd1e7956e6 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

FactCheXcker: Mitigating Measurement Hallucinations in Chest X-ray Report Generation Models An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 9

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source=pdf_text observed=2026-08-12T11:10:30.633280Z digest=sha256:f788311deac36d943cf1708e08c8835dc569c55ebe1856573301c5c3a41f5566

Observation 470e8892-7bdd-49a4-8955-cb4b1f32c247 · outbound

This paper cites an unresolved cited work.

FactCheXcker: Mitigating Measurement Hallucinations in Chest X-ray Report Generation Models Unresolved cited work

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 6aa14aeb-ac10-4157-a4a5-3c525a4c99a4 · outbound

This paper cites Detecting and preventing hallucinations in large vision language models.

FactCheXcker: Mitigating Measurement Hallucinations in Chest X-ray Report Generation Models Detecting and preventing hallucinations in large vision language models

Reference 11

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source=pdf_text observed=2026-08-12T11:10:30.643383Z digest=sha256:6de30eed9e62046b3e2b9763967a99496870bbd08d559e78fc05e47a33299705

Observation f8824656-275c-4e24-8f19-27bd01dde027 · outbound

This paper cites Compli- cations of managing the airway.

FactCheXcker: Mitigating Measurement Hallucinations in Chest X-ray Report Generation Models Compli- cations of managing the airway

Reference 12

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raw_fallback, observed 2026-08-12T11:10:31.492673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 9672843a-7fd0-4387-aafb-3dda27ddaeb8 · outbound

This paper cites Deep Residual Learning for Image Recognition.

FactCheXcker: Mitigating Measurement Hallucinations in Chest X-ray Report Generation Models Deep Residual Learning for Image Recognition

Reference 13

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source=pdf_text observed=2026-08-12T11:10:30.651835Z digest=sha256:1d677fff0d07c05273af135b89c50b278554da8ccfe695dfc908d28201d74400

Observation e3b2396f-24f5-4272-b107-d59c028c9ff7 · outbound

This paper cites GPT-4o System Card.

FactCheXcker: Mitigating Measurement Hallucinations in Chest X-ray Report Generation Models GPT-4o System Card

Reference 14

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source=pdf_text observed=2026-08-12T11:10:30.656906Z digest=sha256:c81b08158466167ed73b4b6b0dd492a8d3f25bbac0b524c2ea9e935a9e9bab4e

Observation b5e41d6b-9879-471b-9098-70e9079f73ec · outbound

This paper cites MAIRA-1: A specialised large multimodal model for radiology report generation.

FactCheXcker: Mitigating Measurement Hallucinations in Chest X-ray Report Generation Models MAIRA-1: A specialised large multimodal model for radiology report generation

Reference 15

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source=pdf_text observed=2026-08-12T11:10:30.661800Z digest=sha256:fb69fed748e90b5591d9e3cffc5cf12af7bc9c13021ba98a774284fdf2f2e10f

Observation 347c41de-d702-43e4-9a81-eb663cfb9947 · outbound

This paper cites Survey of hallucination in natural language generation.

FactCheXcker: Mitigating Measurement Hallucinations in Chest X-ray Report Generation Models Survey of hallucination in natural language generation

Reference 16

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raw_fallback, observed 2026-08-12T11:10:31.479698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T11:10:30.666284Z digest=sha256:767fd6a2be04c72773fd9ed5685ec5c7beccc59e3dafd6c7f279540bdfe61206

Observation 720566be-a3c0-4ad3-b860-a1e78da31ef2 · outbound

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

FactCheXcker: Mitigating Measurement Hallucinations in Chest X-ray Report Generation Models Mimic-cxr, a de- identified publicly available database of chest radiographs with free-text reports

Reference 17

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raw_fallback, observed 2026-08-12T11:10:31.465435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T11:10:30.670016Z digest=sha256:a86bc264ff7d1971ae8ab29adc040fe211ed38b5deb43ba89838007d98b4b4d0

Observation 7726e4c7-5bd1-40c6-aa57-25b8d3e92391 · outbound

This paper cites Bert: Pre-training of deep bidirectional trans- formers for language understanding.

FactCheXcker: Mitigating Measurement Hallucinations in Chest X-ray Report Generation Models Bert: Pre-training of deep bidirectional trans- formers for language understanding

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T11:10:30.674361Z digest=sha256:54c8848d7255c36793c998c657e87429780300465ee07d45f652e8a8670c8b25

Observation aba4d2fa-9bb7-4ab8-9915-c5965796f1b7 · outbound

This paper cites LLM-CXR: Instruction-Finetuned LLM for CXR Image Understanding and Generation.

FactCheXcker: Mitigating Measurement Hallucinations in Chest X-ray Report Generation Models LLM-CXR: Instruction-Finetuned LLM for CXR Image Understanding and Generation

Reference 19

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source=pdf_text observed=2026-08-12T11:10:30.679012Z digest=sha256:8f6ad86a8a404b87feb9a430dc9ff8daf801a5a265d099918e6d9594c6d488f0

Observation 82c1f384-616c-4b7b-8345-ee889e7d8be8 · outbound

This paper cites API-Bank: A Comprehensive Benchmark for Tool-Augmented LLMs.

FactCheXcker: Mitigating Measurement Hallucinations in Chest X-ray Report Generation Models API-Bank: A Comprehensive Benchmark for Tool-Augmented LLMs

Reference 20

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source=pdf_text observed=2026-08-12T11:10:30.683896Z digest=sha256:78fc1835e5c0e4e4b9429c0f792f2bc030e4c41ca6e620e532f3639d116b25a1

Observation 6afffdb5-2cda-4963-8788-a406271448e0 · outbound

This paper cites Evaluating Object Hallucination in Large Vision-Language Models.

FactCheXcker: Mitigating Measurement Hallucinations in Chest X-ray Report Generation Models Evaluating Object Hallucination in Large Vision-Language Models

Reference 21

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Observation 7b00405b-c330-4c57-b468-916e5971c91b · outbound

This paper cites Taskmatrix.

FactCheXcker: Mitigating Measurement Hallucinations in Chest X-ray Report Generation Models Taskmatrix

Reference 22

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source=pdf_text observed=2026-08-12T11:10:30.692563Z digest=sha256:b769d6ae8f9dfe7864c9484e0641e2236108798657a7c17828715bc5e7d96fb6

Observation 1b30ec7b-a0d1-4f27-a55d-b9d4794be26d · outbound

This paper cites Mitigating hallucination in large multi-modal models via robust instruction tuning.

FactCheXcker: Mitigating Measurement Hallucinations in Chest X-ray Report Generation Models Mitigating hallucination in large multi-modal models via robust instruction tuning

Reference 23

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raw_fallback, observed 2026-08-12T11:10:31.426253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T11:10:30.697390Z digest=sha256:748b57397e1329f319094a28bee7c12eca814d39bd16b02e349a3e31d912773e

Observation 66253844-0011-44fb-8a1c-f38f66ff9181 · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.

FactCheXcker: Mitigating Measurement Hallucinations in Chest X-ray Report Generation Models Swin transformer: Hierarchical vision transformer using shifted windows

Reference 24

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source=pdf_text observed=2026-08-12T11:10:30.702716Z digest=sha256:4f0c672978bd675f968287ad2ea6b606a2283c6ee427c1c73779befa2cfb5aed

Observation 2fe406da-bb22-4701-a77b-8da997e1c11a · outbound

This paper cites Swin transformer v2: Scaling up capacity and resolution.

FactCheXcker: Mitigating Measurement Hallucinations in Chest X-ray Report Generation Models Swin transformer v2: Scaling up capacity and resolution

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T11:10:30.706883Z digest=sha256:9f7151cf5c7a5da7f7c08302e5067d782284ec89cb25ef33e1eb60380728cef6

Observation 203c74bb-0a95-4d4f-b221-1110296e9f41 · outbound

This paper cites Decoupled Weight Decay Regularization.

FactCheXcker: Mitigating Measurement Hallucinations in Chest X-ray Report Generation Models Decoupled Weight Decay Regularization

Reference 26

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:10:30.710901Z digest=sha256:331df5fb0a24c96e09f1a258e16daf16556ced83a403d2dfa99e2322c0fd8cac

Observation 8bcb5772-7ab8-4034-b20a-d11a43180952 · outbound

This paper cites Negative Object Presence Evaluation (NOPE) to Measure Object Hallucination in Vision-Language Models.

FactCheXcker: Mitigating Measurement Hallucinations in Chest X-ray Report Generation Models Negative Object Presence Evaluation (NOPE) to Measure Object Hallucination in Vision-Language Models

Reference 27

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source=pdf_text observed=2026-08-12T11:10:30.716015Z digest=sha256:d9c84ea9ff7ad9ab810051d51d7772bd54dbc16233b54564fb0fb95f0986e7c2

Observation 8e245c01-4f3c-44b7-a053-d690739c496c · outbound

This paper cites FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation.

FactCheXcker: Mitigating Measurement Hallucinations in Chest X-ray Report Generation Models FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation

Reference 28

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source=pdf_text observed=2026-08-12T11:10:30.720282Z digest=sha256:a7b3cbe407b5a1173df3a4c651ca835abfa59376985b5b297a92f4f3ca872ce1

Observation df880a2f-572f-4348-a383-3a44d318fb17 · outbound

This paper cites an unresolved cited work.

FactCheXcker: Mitigating Measurement Hallucinations in Chest X-ray Report Generation Models Unresolved cited work

Reference 29

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raw_fallback, observed 2026-08-12T11:10:31.391545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T11:10:30.725339Z digest=sha256:59a2b0eca4af52e0caa7633d708e46c45b88168ab1e2c77dc63fa75ed27fe2c7

Observation db7b9b3a-f17c-41fc-9a96-9695a24103a6 · outbound

This paper cites Fact-Checking Complex Claims with Program-Guided Reasoning.

FactCheXcker: Mitigating Measurement Hallucinations in Chest X-ray Report Generation Models Fact-Checking Complex Claims with Program-Guided Reasoning

Reference 30

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:10:30.729913Z digest=sha256:ca22157aeddf6e4f027c2525f1acce4f4fb1807ad5b1f02add81074238fe9c1d

Observation 8db38f60-4021-4d03-b463-0b85928001a0 · outbound

This paper cites RaDialog: A Large Vision-Language Model for Radiology Report Generation and Conversational Assistance.

FactCheXcker: Mitigating Measurement Hallucinations in Chest X-ray Report Generation Models RaDialog: A Large Vision-Language Model for Radiology Report Generation and Conversational Assistance

Reference 31

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:10:30.734165Z digest=sha256:746c7827b3b991b92b2c15aa2bf2b68c383e0a561c2ea731549cc66bd4d474d0

Observation f4369e02-e68e-44b7-b8fb-5cabc25d74ad · outbound

This paper cites Object Hallucination in Image Captioning.

FactCheXcker: Mitigating Measurement Hallucinations in Chest X-ray Report Generation Models Object Hallucination in Image Captioning

Reference 32

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unresolved
no resolver link, observed 2026-08-12T11:10:30.738573Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:10:30.738573Z digest=sha256:c02979616e5cb08265ba0800c2da460192a480c1e9ca6c953f8c5b85fd6b67ee

Observation a44a9509-4968-42c2-9b0e-e8cf1d9e59d8 · outbound

This paper cites Toolformer: Lan- guage models can teach themselves to use tools.

FactCheXcker: Mitigating Measurement Hallucinations in Chest X-ray Report Generation Models Toolformer: Lan- guage models can teach themselves to use tools

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:10:31.378751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T11:10:30.744201Z digest=sha256:b31115f363be9f7b7a9fa50a82515dca052292977e925a383fc9ab65fb1c657c

Observation 6cded10a-7eba-45c9-a787-79d7585776b4 · outbound

This paper cites Hugginggpt: Solving ai tasks with chatgpt and its friends in hugging face.

FactCheXcker: Mitigating Measurement Hallucinations in Chest X-ray Report Generation Models Hugginggpt: Solving ai tasks with chatgpt and its friends in hugging face

Reference 34

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verified fuzzy
raw_fallback, observed 2026-08-12T11:10:31.367390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T11:10:30.750719Z digest=sha256:cb5a3d592372ef6a61acf6ba3f3d72156e65367ff93063267c36ab7f93500c9d

Observation 927e2a57-0fc8-4076-9969-3b71361c05e9 · outbound

This paper cites Attention based automated radiology report generation using cnn and lstm.

FactCheXcker: Mitigating Measurement Hallucinations in Chest X-ray Report Generation Models Attention based automated radiology report generation using cnn and lstm

Reference 35

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raw_fallback, observed 2026-08-12T11:10:31.354085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T11:10:30.755226Z digest=sha256:6593fdb714ac246a7a3353f8da1f1f353473ead0b174bce6f4b2339054e5ffe2

Observation 23047d9e-be9b-45a1-9231-ed93a9373979 · outbound

This paper cites Automated radiology report generation: A review of recent advances.

FactCheXcker: Mitigating Measurement Hallucinations in Chest X-ray Report Generation Models Automated radiology report generation: A review of recent advances

Reference 36

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verified fuzzy
raw_fallback, observed 2026-08-12T11:10:31.340078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T11:10:30.759256Z digest=sha256:e9fe65f19a9122a29548aec2318c52135bab808538f84411263545cd01e8f783

Observation abf96f0b-d184-4244-9984-5c38c391dee5 · outbound

This paper cites Super-Convergence: Very Fast Training of Neural Networks Using Large Learning Rates.

FactCheXcker: Mitigating Measurement Hallucinations in Chest X-ray Report Generation Models Super-Convergence: Very Fast Training of Neural Networks Using Large Learning Rates

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-12T11:10:30.763283Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:10:30.763283Z digest=sha256:bf53284ab54a28b8613b6f26e6b02dfb7e028ce1f24a54f542eb92e65b2695b9

Observation 8346236d-e420-45f8-a2de-2f8c25d410ed · outbound

This paper cites Vipergpt: Visual inference via python execution for reasoning.

FactCheXcker: Mitigating Measurement Hallucinations in Chest X-ray Report Generation Models Vipergpt: Visual inference via python execution for reasoning

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:10:31.326596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T11:10:30.767826Z digest=sha256:ac2b1bc0bfbfdcc8a4124e84038f3e210255c9d047f0dea10c3e37396eceace9

Observation 2bc1019c-8de7-4193-bd09-95e359d79260 · outbound

This paper cites Interactive and explainable region-guided radiol- ogy report generation.

FactCheXcker: Mitigating Measurement Hallucinations in Chest X-ray Report Generation Models Interactive and explainable region-guided radiol- ogy report generation

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:10:31.312672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T11:10:30.771748Z digest=sha256:bd5b4e0db6543b072d679d537b61d24d5df54548aa9f8f596bee7eb5a3754f43

Observation 63a1aabf-6c11-40c8-9d21-3808fce4ef71 · outbound

This paper cites Towards gen- eralist biomedical ai.

FactCheXcker: Mitigating Measurement Hallucinations in Chest X-ray Report Generation Models Towards gen- eralist biomedical ai

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:10:31.299628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T11:10:30.776302Z digest=sha256:e4318530d0e2816e3c4364870fdebe10c489133376995a30829910a113ff5407

Observation 9676eb05-627a-4420-908c-4c5f23f30f18 · outbound

This paper cites Mitigating Hallucinations in Large Vision-Language Models with Instruction Contrastive Decoding.

FactCheXcker: Mitigating Measurement Hallucinations in Chest X-ray Report Generation Models Mitigating Hallucinations in Large Vision-Language Models with Instruction Contrastive Decoding

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-12T11:10:30.780959Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:10:30.780959Z digest=sha256:b1636e882f175d8f98de6089c18cfb12dd857be906acc42f8c67bd8dbe2bb880

Observation 86aceb8a-68a3-4f19-ae98-b4b1d8524e23 · outbound

This paper cites Towards Generalist Foundation Model for Radiology by Leveraging Web-scale 2D&3D Medical Data.

FactCheXcker: Mitigating Measurement Hallucinations in Chest X-ray Report Generation Models Towards Generalist Foundation Model for Radiology by Leveraging Web-scale 2D&3D Medical Data

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-12T11:10:30.785196Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:10:30.785196Z digest=sha256:df71de16c8b0184476d6acbc740f0620cdc66ddc3d4ba420cf1f96a35445a473

Observation b614e1f6-7313-453a-8aea-11e07b9a91c9 · outbound

This paper cites Chest ImaGenome Dataset for Clinical Reasoning.

FactCheXcker: Mitigating Measurement Hallucinations in Chest X-ray Report Generation Models Chest ImaGenome Dataset for Clinical Reasoning

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-12T11:10:30.790003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:10:30.790003Z digest=sha256:210e98684df75d0c6b3d4771176b0f912a72450edc3d5036c097cba244814f25

Observation f62f94b7-93b0-4918-bd32-b177c2dcd1a0 · outbound

This paper cites Multimodal recurrent model with attention for automated radiology re- port generation.

FactCheXcker: Mitigating Measurement Hallucinations in Chest X-ray Report Generation Models Multimodal recurrent model with attention for automated radiology re- port generation

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:10:31.283803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T11:10:30.795925Z digest=sha256:77f952fe97ee58d980dac61c5c28185156f48084ede0d4dd04caf806980fe5eb

Observation ab306c4d-cb6b-4e43-b529-31ee8bc0a43e · outbound

This paper cites The Dawn of LMMs: Preliminary Explorations with GPT-4V(ision).

FactCheXcker: Mitigating Measurement Hallucinations in Chest X-ray Report Generation Models The Dawn of LMMs: Preliminary Explorations with GPT-4V(ision)

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-12T11:10:30.800223Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:10:30.800223Z digest=sha256:e568cc51b0e9c1667c1207267e30b81ebb76c4c85d0c3a4dc20ca19a69b86e7f

Observation 8f167f68-183a-4020-82b9-ae9727f1f54d · outbound

This paper cites Multimodal healthcare ai: identifying and designing clinically relevant vision-language applications for radiology.

FactCheXcker: Mitigating Measurement Hallucinations in Chest X-ray Report Generation Models Multimodal healthcare ai: identifying and designing clinically relevant vision-language applications for radiology

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:10:31.269161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T11:10:30.804849Z digest=sha256:af8f7d85825d264045205812fdc2710b8159ffa891ba3e0d8c99e7114fb5eb9e

Observation a0b057d9-7a89-4d33-8e4b-540e691d9540 · outbound

This paper cites Uncovering Knowledge Gaps in Radiology Report Generation Models through Knowledge Graphs.

FactCheXcker: Mitigating Measurement Hallucinations in Chest X-ray Report Generation Models Uncovering Knowledge Gaps in Radiology Report Generation Models through Knowledge Graphs

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-12T11:10:30.809438Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:10:30.809438Z digest=sha256:88b7f0d1b74c0c1f3c77aec6b202acac385a448c45564c68fb886f426f67e505

Observation e8bbf0ad-f91c-4082-b31d-ffa7c6634f54 · outbound

This paper cites MedVersa: A Generalist Foundation Model for Medical Image Interpretation.

FactCheXcker: Mitigating Measurement Hallucinations in Chest X-ray Report Generation Models MedVersa: A Generalist Foundation Model for Medical Image Interpretation

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-12T11:10:30.814040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:10:30.814040Z digest=sha256:4175f23082bdc3a275cdfcfb8b0ffa10ebd33c95e2e08fb261e785429a5c74f8

Observation 9814b3f0-da88-49e5-bff5-1886dacd219d · outbound

This paper cites Note that mentions of ET tube removal or patient extubation indicate that the ET tube is no longer present.

FactCheXcker: Mitigating Measurement Hallucinations in Chest X-ray Report Generation Models Note that mentions of ET tube removal or patient extubation indicate that the ET tube is no longer present

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:10:31.255567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T11:10:30.819430Z digest=sha256:86ca1b371f27830e93b9a8112ec85601bb767af0bf4976277d2c9fb88bde0ef0

Observation 9456ae27-0aea-4a37-b3ea-46ec41d5f77d · outbound

This paper cites Positive values indicate placement above the carina, while negative values indicate placement below the carina.

FactCheXcker: Mitigating Measurement Hallucinations in Chest X-ray Report Generation Models Positive values indicate placement above the carina, while negative values indicate placement below the carina

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:10:31.242379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T11:10:30.823868Z digest=sha256:dbdfbf8ae6ef410b49ccdc992d7779191675d7c6e9231b13f1e4f1b9f5a66df8

Observation e51c073c-6f4a-4e6b-9b31-815697095f83 · outbound

This paper cites too low" or.

FactCheXcker: Mitigating Measurement Hallucinations in Chest X-ray Report Generation Models too low" or

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:10:31.228167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T11:10:30.829843Z digest=sha256:f62d2a0fd109961d2bf4ce02984bb329d884f88ff4ab32592172bb2caf76a70e

Observation 7bbc243d-f808-4b18-831c-05f6742ad7c2 · outbound

This paper cites incorrect position.

FactCheXcker: Mitigating Measurement Hallucinations in Chest X-ray Report Generation Models incorrect position

Reference 52

Resolution
malformed identifier
raw_fallback, observed 2026-08-12T11:10:31.216008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T11:10:30.834640Z digest=sha256:04321de5e181b4abfdbbde0e8f2baf1e1c4f2a98ca5d77b50534e54892f8ad5c

Pith citing papers

No inbound Pith citation observations are available.