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Paper Citation Record · LEDGER

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

As of 13 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 2026-08-13T06:32:02.005865+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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source=pdf_text observed=2026-08-12T11:10:30.591729Z digest=sha256:c2cd150045fefb2b74d76c00b6a75b0226066969d6d10fdd35f02b99e4b8ad5b

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=sha256:3a7dcb0c94af1a16ae10c6ea269908ad60ee769f79f558f1ba03227e876bb6d9

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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source=pdf_text observed=2026-08-12T11:10:30.601464Z digest=sha256:cf174455d62c399cbbe7b3afa596af354fca34a7c58791723ecad355ea43e74f

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=sha256:564f2cc09c4d2b9c4041ae82ac0b8502e82af930e90694ff2cb74d946ec46bf8

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=sha256:8afea74a031d0155a8567e5b700c11ab6fc5723e8209c074b5c2b3365641981d

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:dedf359a0e7f73a8148a0463095f1b5e0635e2535eb2c22575996038c0e8c9ab

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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source=pdf_text observed=2026-08-12T11:10:30.623307Z digest=sha256:305b4087f81991ed23e16dae74626ec72e958e37fde74c80e65d8496e902d12d

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=sha256:6885f88fdd9dd1cc271be188f9fb9dbdf3f779f749eb590812d7af5d4ce3582f

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:ae30782f07975bc4181e704b1d509facd2962630fe13a2dc5b5a39db7b81b1bf

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T11:10:30.638289Z digest=sha256:370bbb018f5600a31a25df6cb5bb7e23cfa1c029c6837cbbceb4f8e99b827565

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=sha256:98f9ab8c792613576d70ff641e307981e210d906d0858c6ef4fabc54691485d0

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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verified fuzzy
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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T11:10:30.647601Z digest=sha256:28dfdaaa26ebcb851e45c179ea7d696864aa12a7c3a0f7a1f4f654aba78981f4

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:b0819894f19f9b761669692b62e6178d50596013f19ab495770e84c287c6da57

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=sha256:236ba5af2bf6d79ecd8636e9c6bdae7ba4302767b5b73ecb45dea20c85c23d43

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=sha256:74cae9ce3f55b1882f3c711f262cdc896e219ae4cb89b129ef3534766fe3716f

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T11:10:30.666284Z digest=sha256:b893199d27cd481db71a33242406a67751600ffa33c9a277ddbea3bfc51f2625

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

Resolution
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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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T11:10:30.670016Z digest=sha256:8c57486dce5b09508e67e71475617b2aa1f5f0c4a6c6d30f57450463e08b09ef

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T11:10:30.674361Z digest=sha256:09e32ea7b38c406fa951cb2073aea8dede3cf304e0fccd9e078fae8bda66979c

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:bca34806cfb9220301e4c27223132edca7c3c44607353f310cf85d4eac36112d

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=sha256:7a71fb91df70631befd351663980e86d6272710e95164c012b6507856b078ee9

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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source=pdf_text observed=2026-08-12T11:10:30.688240Z digest=sha256:d3a03ee98abcbf99652330a05455661283f9f1ad092994f42b840f3d2fea8cc1

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=sha256:908b65a1dcfbf3e2a193a4cf05c239266dee91972120c38ba7301811410df4fe

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

Resolution
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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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T11:10:30.697390Z digest=sha256:111fb00b3bdf3fadc89b7dcf2acb31a6d22a78c9472825cd0dc767537d2dd109

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=sha256:2b1e283c938da112ccf34a05cabd54b74c0fd9d1b94d8a8424abed7da60a57f3

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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raw_fallback, observed 2026-08-12T11:10:31.405217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T11:10:30.706883Z digest=sha256:cd54e781f5b86aa8fa708a2414f4a9185650cb6eb18c8513a421cab2c742e3b9

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

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source=pdf_text observed=2026-08-12T11:10:30.710901Z digest=sha256:e00a185f270d0c2f87dbbed48327f957a08e52ca256e6077c47eba43cd087d62

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:10:30.716015Z digest=sha256:f95053b337c1fa32dea31ddbbf3cf2402722d60b84e0eaf994fb31fb6f62d278

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:c3f16200020f819e9e8521962d0fec6426f96c3175ae893afb23c87edd084ed5

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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unresolved
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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T11:10:30.725339Z digest=sha256:cc8b2d14a1e5f3b641dea140762b1afb2d6a42409854607a1854a1388fcd50af

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:de45d11ff3ad4bda315afa14ae424c754f57520a4a10b382e1589ae3dec9c54e

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:c468c51c455904a84a499d0e03537aac3dba2a84e48593dff972b3f271b61f32

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

Resolution
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=sha256:1e7d28ff5246e0d5f87d74910bf5e50709f8bd191dc7a5d0fe8bc35537712c39

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T11:10:30.744201Z digest=sha256:2b12fb7e7addd355cbd5bf7ae5c41f7f3a30d601bec777ef514fc58db5876f88

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

Resolution
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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T11:10:30.750719Z digest=sha256:e43bf5d4da4161789c0685a21fd1e8ed9febb98199f773901effbdb58937b1a1

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

Resolution
verified fuzzy
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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T11:10:30.755226Z digest=sha256:b88dbf8436cbd18549ff7596e101048887166c222b7c89a468e45a70d99cd131

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T11:10:30.759256Z digest=sha256:9c2b54c4b85bc8beb7d5081a603e1ddeb3f46c244507757682d6bc477c5054c6

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:bcb9c94da6495e2d5a29014bb6deb6973e982bc6de14a66c170ccdb0658d004f

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T11:10:30.767826Z digest=sha256:0b36aabc0c8ce18505e9c11496c64ba3cbe179f9e4fd01c8ca867f5321ed32ae

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T11:10:30.771748Z digest=sha256:2e90be4ba9902fa67d8ce953d26807a405226828ad75af3c88b8aaf90d40b1be

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T11:10:30.776302Z digest=sha256:0c20d7719b83a8babc01bf334c4b2385697874df6aa8b20f7ee19d726065e4b6

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:eef6b65ff110142911d85b8bea61bbb12742c12268bd59b1ebcfbbaacf68f72e

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:b21c31408e8122bb47626f2381b8d1bec3a785d42e4fdb887b4e367cb4c6f779

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=sha256:72bd84b2e439362528388a4380e524d6abc47f054fa000af163f687366688bc6

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T11:10:30.795925Z digest=sha256:02992bb9b8ab171d30bef4a5e81951c81c712b7ba2b6cd51c8029063419e91a6

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:baf4102a9d9cf4d35d5a7678c684b3d0a8c89149299aa50d754c55c6b08fe986

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T11:10:30.804849Z digest=sha256:4cda65ac90911d59f76c85e9d4526ba7c71ca5c28220e616a817d138bd654ad4

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=sha256:56fad1b0b0bf4aa9c9c3e38f53604f2e43552324d615c59d4d44426821968eec

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=sha256:47fdc83c5ce21b2ab9fce0c27e373aeacb83550f3ac83c4b5af40cacc7a5adb4

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T11:10:30.819430Z digest=sha256:13a58bcffab2b68890ed107921063adaeceef756d31fc3803bfd163b18934963

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T11:10:30.823868Z digest=sha256:b098620f4d96e5cc0b0613d79d24b922ddc5deaf1607fcaa147ca4b83a93a8c1

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T11:10:30.829843Z digest=sha256:e1f0d36f51cb3a5aaae8439c337b3b8f612514cb198722cda5ea11073c5bebb5

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T11:10:30.834640Z digest=sha256:b4220aa139f6522659b5b00254031b6902328e9767dd7ef77654403a69241feb

Pith citing papers

No inbound Pith citation observations are available.