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Paper Citation Record · LEDGER

Evaluating and Mitigating Bias in AI-Based Medical Text Generation

As of 21 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 0 inbound Pith citation observations for arXiv:2504.17279.

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

pith.paper-citation-record.v1
2504.17279 v1

Coverage vector

measured 55 of 55 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:47:36.994563Z

measured 55 of 55 standing notices

One-hop event checks from named stored sources.

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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

55 of 55 outbound references displayed

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External citation measurements

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Outbound references

Observation 802bee73-0988-4dd7-b678-4390c5d36756 · outbound

This paper cites Artificial intelligence in healthcare: past, present and future,.

Evaluating and Mitigating Bias in AI-Based Medical Text Generation Artificial intelligence in healthcare: past, present and future,

Reference 1

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Observation ba79c388-8074-4288-8c43-35b6f19e25f1 · outbound

This paper cites CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning.

Evaluating and Mitigating Bias in AI-Based Medical Text Generation CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning

Reference 2

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This paper cites Automated diagnosing primary open- angle glaucoma from fundus image by simulating human’s grad- ing with deep learning,.

Evaluating and Mitigating Bias in AI-Based Medical Text Generation Automated diagnosing primary open- angle glaucoma from fundus image by simulating human’s grad- ing with deep learning,

Reference 3

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This paper cites Radiologist shortage leaves patient care at risk, warns royal college,.

Evaluating and Mitigating Bias in AI-Based Medical Text Generation Radiologist shortage leaves patient care at risk, warns royal college,

Reference 4

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Observation 40fb17d5-6d99-4e0a-a7b6-be5627efcdf3 · outbound

This paper cites ScholarChemQA: Unveiling the Power of Language Models in Chemical Research Question Answering.

Evaluating and Mitigating Bias in AI-Based Medical Text Generation ScholarChemQA: Unveiling the Power of Language Models in Chemical Research Question Answering

Reference 5

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Observation 5b19da22-1608-4c4e-a3dd-8e9bef327b71 · outbound

This paper cites Nature of metal-support interaction for metal catalysts on oxide supports,.

Evaluating and Mitigating Bias in AI-Based Medical Text Generation Nature of metal-support interaction for metal catalysts on oxide supports,

Reference 6

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Observation 7b3c3c07-b234-4d94-a4ab-30eefe008594 · outbound

This paper cites Dis- secting racial bias in an algorithm used to manage the health of populations,.

Evaluating and Mitigating Bias in AI-Based Medical Text Generation Dis- secting racial bias in an algorithm used to manage the health of populations,

Reference 7

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Observation edd67b79-6fdc-4fc6-8e53-16edf3a71a39 · outbound

This paper cites Chexclusion: Fairness gaps in deep chest x-ray classifiers,.

Evaluating and Mitigating Bias in AI-Based Medical Text Generation Chexclusion: Fairness gaps in deep chest x-ray classifiers,

Reference 8

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This paper cites Medfair: Benchmarking fair- ness for medical imaging,.

Evaluating and Mitigating Bias in AI-Based Medical Text Generation Medfair: Benchmarking fair- ness for medical imaging,

Reference 9

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This paper cites Improving model fairness in image-based computer-aided diagnosis,.

Evaluating and Mitigating Bias in AI-Based Medical Text Generation Improving model fairness in image-based computer-aided diagnosis,

Reference 10

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This paper cites Gender imbalance in medical imaging datasets produces biased classifiers for computer-aided diagnosis,.

Evaluating and Mitigating Bias in AI-Based Medical Text Generation Gender imbalance in medical imaging datasets produces biased classifiers for computer-aided diagnosis,

Reference 11

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This paper cites RadFusion: Benchmarking Performance and Fairness for Multimodal Pulmonary Embolism Detection from CT and EHR.

Evaluating and Mitigating Bias in AI-Based Medical Text Generation RadFusion: Benchmarking Performance and Fairness for Multimodal Pulmonary Embolism Detection from CT and EHR

Reference 12

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This paper cites Fairness of classifiers across skin tones in dermatology,.

Evaluating and Mitigating Bias in AI-Based Medical Text Generation Fairness of classifiers across skin tones in dermatology,

Reference 13

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This paper cites Evaluate underdiagnosis and overdiagnosis bias of deep learning model on primary open-angle glaucoma diagnosis in under-served populations,.

Evaluating and Mitigating Bias in AI-Based Medical Text Generation Evaluate underdiagnosis and overdiagnosis bias of deep learning model on primary open-angle glaucoma diagnosis in under-served populations,

Reference 14

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Observation af8b0c56-4864-4cd0-9596-a0ed30ea7fef · outbound

This paper cites Ethical analysis to im- prove decision-making on health technologies,.

Evaluating and Mitigating Bias in AI-Based Medical Text Generation Ethical analysis to im- prove decision-making on health technologies,

Reference 15

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Observation 59cd2744-a402-41c7-85a2-844631e1dbe2 · outbound

This paper cites On the ethics of algorithmic decision- making in healthcare,.

Evaluating and Mitigating Bias in AI-Based Medical Text Generation On the ethics of algorithmic decision- making in healthcare,

Reference 16

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This paper cites Improving the fairness of chest x-ray classifiers,.

Evaluating and Mitigating Bias in AI-Based Medical Text Generation Improving the fairness of chest x-ray classifiers,

Reference 17

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This paper cites Fairness without demographics through adversarially 11 reweighted learning,.

Evaluating and Mitigating Bias in AI-Based Medical Text Generation Fairness without demographics through adversarially 11 reweighted learning,

Reference 18

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This paper cites Pairwise fairness for ranking and regression,.

Evaluating and Mitigating Bias in AI-Based Medical Text Generation Pairwise fairness for ranking and regression,

Reference 19

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This paper cites The limits of fair medical imaging ai in real-world generaliza- tion,.

Evaluating and Mitigating Bias in AI-Based Medical Text Generation The limits of fair medical imaging ai in real-world generaliza- tion,

Reference 20

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This paper cites An extensive benchmark study on biomed- ical text generation and mining with chatgpt,.

Evaluating and Mitigating Bias in AI-Based Medical Text Generation An extensive benchmark study on biomed- ical text generation and mining with chatgpt,

Reference 21

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Evaluating and Mitigating Bias in AI-Based Medical Text Generation Chatgpt in healthcare: a taxonomy and systematic review,

Reference 22

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Evaluating and Mitigating Bias in AI-Based Medical Text Generation Opportunities and chal- lenges for chatgpt and large language models in biomedicine and health,

Reference 23

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Evaluating and Mitigating Bias in AI-Based Medical Text Generation Interactive and explainable region-guided radiology report generation,

Reference 24

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This paper cites Radadapt: Radiology report summarization via lightweight domain adaptation of large language models,.

Evaluating and Mitigating Bias in AI-Based Medical Text Generation Radadapt: Radiology report summarization via lightweight domain adaptation of large language models,

Reference 25

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Evaluating and Mitigating Bias in AI-Based Medical Text Generation The advent of generative language models in medical education,

Reference 26

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Evaluating and Mitigating Bias in AI-Based Medical Text Generation The next generation of evidence-based medicine,

Reference 27

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Evaluating and Mitigating Bias in AI-Based Medical Text Generation Ethical and social risks of harm from Language Models

Reference 28

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This paper cites Smartphone-based conversational agents and responses to questions about mental health, interpersonal violence, and physical health,.

Evaluating and Mitigating Bias in AI-Based Medical Text Generation Smartphone-based conversational agents and responses to questions about mental health, interpersonal violence, and physical health,

Reference 29

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This paper cites Patient and consumer safety risks when using conversational assistants for medical information: an observational study of siri, alexa, and google assistant,.

Evaluating and Mitigating Bias in AI-Based Medical Text Generation Patient and consumer safety risks when using conversational assistants for medical information: an observational study of siri, alexa, and google assistant,

Reference 30

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Observation 400cefc3-f8ed-4c16-9f65-6050715dcec3 · outbound

This paper cites Auto- mated radiology report generation: A review of recent advances,.

Evaluating and Mitigating Bias in AI-Based Medical Text Generation Auto- mated radiology report generation: A review of recent advances,

Reference 31

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This paper cites A survey on automatic generation of medical imaging reports based on deep learning,.

Evaluating and Mitigating Bias in AI-Based Medical Text Generation A survey on automatic generation of medical imaging reports based on deep learning,

Reference 32

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Evaluating and Mitigating Bias in AI-Based Medical Text Generation Bertscore: Evaluating text generation with bert,

Reference 33

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Evaluating and Mitigating Bias in AI-Based Medical Text Generation Evaluation of Text Generation: A Survey

Reference 34

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Unavailable: canonical work link unavailable.

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Observation fab41579-a16e-4e02-af1a-d1f061f1ddaf · outbound

This paper cites GPTScore: Evaluate as You Desire.

Evaluating and Mitigating Bias in AI-Based Medical Text Generation GPTScore: Evaluate as You Desire

Reference 35

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unresolved
no resolver link, observed 2026-08-16T10:47:36.881131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:47:36.881131Z digest=sha256:e9f967b7a6ee03da3f6a4ac854e2234d1e8dc6dfb1fe87b31c4ba6f2c157f260

Observation aef5429f-3376-4b57-ac5b-41affd056281 · outbound

This paper cites Rouge: A package for automatic evaluation of sum- maries,.

Evaluating and Mitigating Bias in AI-Based Medical Text Generation Rouge: A package for automatic evaluation of sum- maries,

Reference 36

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verified fuzzy
raw_fallback, observed 2026-08-16T10:47:37.553051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T10:47:36.886040Z digest=sha256:fcbdba94050b1fd6492888763ef222d20e60cc13f8d66680b3e59535b3c4838c

Observation ef9cce05-685d-4e9d-815e-8d77cb202b5d · outbound

This paper cites Flexible and adaptable summarization via expertise separation,.

Evaluating and Mitigating Bias in AI-Based Medical Text Generation Flexible and adaptable summarization via expertise separation,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:47:37.524034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T10:47:36.890915Z digest=sha256:48df251443c0f0a295f8ae2067302c1a6cba31a2461f731d5b8580ff08cf8245

Observation 5f7410d8-b7dd-4a07-a287-a1bf7b7d20fa · outbound

This paper cites Revisiting the gold standard: Grounding summarization evaluation with robust human evaluation,.

Evaluating and Mitigating Bias in AI-Based Medical Text Generation Revisiting the gold standard: Grounding summarization evaluation with robust human evaluation,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:47:37.492388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T10:47:36.895786Z digest=sha256:5294f5eee5696a3ed97bb459f66d6f36bd0173978ccc3ffcdc34749495e56a46

Observation 59707875-48e0-4d6e-b418-f6f535070b36 · outbound

This paper cites Questeval: Summarization asks for fact-based evaluation,.

Evaluating and Mitigating Bias in AI-Based Medical Text Generation Questeval: Summarization asks for fact-based evaluation,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:47:37.471993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T10:47:36.900787Z digest=sha256:8e743e7427ee2bd0e28480d3e398b76c92be3c703d118687aafaabc6518ae235

Observation b2e79824-3311-43f5-9867-46b40ef641ec · outbound

This paper cites Rethinking Scientific Summarization Evaluation: Grounding Explainable Metrics on Facet-aware Benchmark.

Evaluating and Mitigating Bias in AI-Based Medical Text Generation Rethinking Scientific Summarization Evaluation: Grounding Explainable Metrics on Facet-aware Benchmark

Reference 40

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unresolved
no resolver link, observed 2026-08-16T10:47:36.907306Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:47:36.907306Z digest=sha256:91463cae10ccf5ddfc21f23bc29b44240d5fc4784d5f4588a2b799d77ba9d52c

Observation c92c4887-675b-499b-b775-faa4395f4a61 · outbound

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

Evaluating and Mitigating Bias in AI-Based Medical Text Generation Chexpert: A large chest radiograph dataset with uncertainty labels and ex- pert comparison,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:47:37.453732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T10:47:36.913531Z digest=sha256:4c0649ceb4fb9ba6ed5e3495eca8609779055163b3ebe29597086a4d53f72eac

Observation 7b8eb47d-83e1-41bd-b54e-ce0e8186ca7f · outbound

This paper cites CXPMRG-Bench: Pre-training and Benchmarking for X-ray Medical Report Generation on CheXpert Plus Dataset.

Evaluating and Mitigating Bias in AI-Based Medical Text Generation CXPMRG-Bench: Pre-training and Benchmarking for X-ray Medical Report Generation on CheXpert Plus Dataset

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-16T10:47:36.918345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:47:36.918345Z digest=sha256:f575dc3ab76d0d5e362b248830d36bcb8da5cc934740cf30db3be15d8c0333f2

Observation a9beb3a1-f9fc-4d3d-85c4-23edf1e7bcf7 · outbound

This paper cites Retrieval-based chest x-ray report generation using a pre-trained contrastive language-image model,.

Evaluating and Mitigating Bias in AI-Based Medical Text Generation Retrieval-based chest x-ray report generation using a pre-trained contrastive language-image model,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:47:37.435421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T10:47:36.923685Z digest=sha256:2c7f96e2beb4cdff5792fea62f94395efcad9538d84b88a0ef18304a8cf110e8

Observation e3f5bba7-3336-4bc8-b3e5-d023fe836163 · outbound

This paper cites Baselines for chest x-ray report generation,.

Evaluating and Mitigating Bias in AI-Based Medical Text Generation Baselines for chest x-ray report generation,

Reference 44

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verified fuzzy
raw_fallback, observed 2026-08-16T10:47:37.414895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T10:47:36.930883Z digest=sha256:accafb36fb1a6a0ecc3694bab9482adbfdbe07001f8e5e8988086ad4cc87577a

Observation f8dbdae6-5cd0-4081-ab52-fc60f7c7f9b8 · outbound

This paper cites Generating radiology reports via memory-driven transformer,.

Evaluating and Mitigating Bias in AI-Based Medical Text Generation Generating radiology reports via memory-driven transformer,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:47:37.388254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T10:47:36.936249Z digest=sha256:7f2e52461cf228779eba66927a17c6e68d7b746d5ec064d81810a4fdafc84cbd

Observation 0b3c4567-b75f-40ed-b266-f22d730e1be7 · outbound

This paper cites Bart: Denoising sequence-to-sequence pre-training for natural language genera- tion, translation, and comprehension,.

Evaluating and Mitigating Bias in AI-Based Medical Text Generation Bart: Denoising sequence-to-sequence pre-training for natural language genera- tion, translation, and comprehension,

Reference 46

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verified fuzzy
raw_fallback, observed 2026-08-16T10:47:37.366855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T10:47:36.942117Z digest=sha256:9da76903477d415d93e0ad4891f2f032b2f5779b4f459fb4f8c00743ab03675e

Observation 393fff0e-1c1e-4103-8025-2508ff0aab9d · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Evaluating and Mitigating Bias in AI-Based Medical Text Generation Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 47

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unresolved
no resolver link, observed 2026-08-16T10:47:36.947076Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:47:36.947076Z digest=sha256:fe6af14e865caef53be6ca2c622d8ed0c8ed198f36ce309c375cfbecbfa48068

Observation c13400d7-6543-429b-b8a0-9b44d8ed8789 · outbound

This paper cites MIMIC-CXR-JPG, a large publicly available database of labeled chest radiographs.

Evaluating and Mitigating Bias in AI-Based Medical Text Generation MIMIC-CXR-JPG, a large publicly available database of labeled chest radiographs

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-16T10:47:36.951750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:47:36.951750Z digest=sha256:fae61a1f4bc0db16435618a9f9a627114d1c206102cae1e37a97690c5e396299

Observation b60723c7-2d8f-4ff4-87dc-7dd140f5be14 · outbound

This paper cites A discourse-aware attention model for ab- stractive summarization of long documents,.

Evaluating and Mitigating Bias in AI-Based Medical Text Generation A discourse-aware attention model for ab- stractive summarization of long documents,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:47:37.348886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T10:47:36.957871Z digest=sha256:5e00fe0539b2e2582793eba6d86cdbf475941a18ab64383b0592b53d53a9928d

Observation 2717f0b2-a405-4f12-9709-7bf138f31f75 · outbound

This paper cites Mimic-iv,.

Evaluating and Mitigating Bias in AI-Based Medical Text Generation Mimic-iv,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:47:37.330073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T10:47:36.964208Z digest=sha256:a09e41794a7f8e82c7e42128eb5b672c97bc6523bddfc8051cf2c759e3de8c0b

Observation 8ada47c1-dd9a-487a-99c1-6747fc3d7b99 · outbound

This paper cites Do hospitals provide lower quality of care to black patients for pneumonia?.

Evaluating and Mitigating Bias in AI-Based Medical Text Generation Do hospitals provide lower quality of care to black patients for pneumonia?

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:47:37.311569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T10:47:36.970836Z digest=sha256:43b118ce3f4c6c0d8a79727e6ffe04551dc9ee9d4bf5ba917cd43ed6ec99e546

Observation 314d684b-4101-4aae-b5b5-542e93ce1e64 · outbound

This paper cites Transformers: 12 State-of-the-art natural language processing,.

Evaluating and Mitigating Bias in AI-Based Medical Text Generation Transformers: 12 State-of-the-art natural language processing,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:47:37.287095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T10:47:36.978095Z digest=sha256:2948a09ba4f5fad6910d5526c136d3efde75e1b0ac55d33bb1fe17ba5daf9c56

Observation 6187bc38-c8a1-4a20-aa1f-bb89c8b5bb66 · outbound

This paper cites Deep residual learning for image recognition,.

Evaluating and Mitigating Bias in AI-Based Medical Text Generation Deep residual learning for image recognition,

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-16T10:47:36.983775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:47:36.983775Z digest=sha256:acbdc71361527d15ac9d1b9045231750e4b32a6a4a933b96af486cb434151e9b

Observation 0d444465-f031-4788-9d46-3b2a1a2b81eb · outbound

This paper cites Im- agenet: A large-scale hierarchical image database,.

Evaluating and Mitigating Bias in AI-Based Medical Text Generation Im- agenet: A large-scale hierarchical image database,

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-16T10:47:36.988362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:47:36.988362Z digest=sha256:01fe0cb60e68d1d0e1b8ddfb546bd8d6893b7784dbe398e2c2bc25cc54d3f10f

Observation 12a7af64-c687-4dc0-ba8e-599147db0480 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Evaluating and Mitigating Bias in AI-Based Medical Text Generation Adam: A Method for Stochastic Optimization

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-16T10:47:36.994563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:47:36.994563Z digest=sha256:8dbf2ba810b2d1508de05b4464eb4710fd703c1df95486aafc99f4951f747156

Pith citing papers

No inbound Pith citation observations are available.