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Paper Citation Record · LEDGER

Evaluating and Mitigating Bias in AI-Based Medical Text Generation

As of 22 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.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

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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Observation 087eb148-74bb-40a9-8626-90a749328b7e · outbound

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

Resolution
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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

Resolution
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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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Observation fb3bebe8-4987-4bfc-aa45-fd03755a1c07 · outbound

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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Observation 8d364feb-7eae-498b-95cc-03a9432e526f · outbound

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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Observation 05acff6c-3200-497e-8496-8df9d29698fd · outbound

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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Observation cbfe8334-5113-477f-84a4-6f6581502ebd · outbound

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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Observation 5d86d166-ef1b-4fe4-997b-77d852cfe848 · outbound

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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Source-reported events for the cited work

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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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Observation 79885b1f-5fb8-4a88-9047-78aa10fe0da9 · outbound

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

Resolution
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Observation 58a016aa-6c8a-4613-b9fc-e7c4c8bd19be · outbound

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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Observation 8d6209fc-437d-491c-9eac-8d1e0dc79294 · outbound

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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Observation ce1ed4c2-7726-4767-a55c-4429ac48b8b6 · outbound

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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Observation f5a0e225-3f8b-4a6c-9941-6f8b8e10a53b · outbound

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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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Observation 45a0a6a7-d8c8-4e8b-9d3b-5229121a1ce1 · outbound

This paper cites Opportunities and chal- lenges for chatgpt and large language models in biomedicine and health,.

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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Observation 3d63d432-0a14-40db-acf9-bd3f9f072bf6 · outbound

This paper cites Interactive and explainable region-guided radiology report generation,.

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

Reference 24

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Observation d39ee8ac-56fe-4cbf-b636-d4baceca2ec0 · outbound

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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Observation 3366cfcc-71cb-4ab4-b928-345827eb47c9 · outbound

This paper cites The advent of generative language models in medical education,.

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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Observation 0c539f9c-c7c2-4c08-9c22-736676b66432 · outbound

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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This paper cites Bertscore: Evaluating text generation with bert,.

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

Reference 33

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Observation b5fb8a10-e4c6-49c5-96b1-d7d4998778ae · outbound

This paper cites Evaluation of Text Generation: A Survey.

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

Reference 34

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:47:36.875453Z digest=sha256:281b47acdc3d93e65474860757f5df977bedd53907a88af9a5cd50f7f6086a6f

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T10:47:36.886040Z digest=sha256:7247011e88150a5426dac330753da9b9d278a635293000eda5bf531e6dc4c0a1

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T10:47:36.890915Z digest=sha256:86f91d507c58bb35f37b1c6eef1538430c095fa7486c65ae392b44cbfadb8fd5

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T10:47:36.895786Z digest=sha256:d0eb35e223dafcafb6a70c71346796939a1db94da401c3c9289c0b8ddb999e63

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T10:47:36.900787Z digest=sha256:55478f6737742c4a1a549502e2fa14f69ddfbbb099439e8d8d7c43bb6e7d667d

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

Resolution
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=sha256:39febd3e075e16b43b5f5c6f9fdb64f174f20bfe0df90d90867c48e9b58419b4

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T10:47:36.913531Z digest=sha256:cd2643c383f9221482b66671c897b214df9ac26e7604429d883176d2d000746e

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T10:47:36.923685Z digest=sha256:cf6082179e7d9867909fc4e6fa2ff3368298db5cca76b3bfe15fe0aa829f7402

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

Resolution
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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T10:47:36.930883Z digest=sha256:ba26b68e7501ab50e3b467736296ebe0127a4f82a3ea40d92fa5638137955fa7

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T10:47:36.936249Z digest=sha256:f4c62f24365999c3808c8d248a9629b4d63c0bf61f4541d5ad15dd58ca0c8a28

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

Resolution
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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T10:47:36.942117Z digest=sha256:6519796e8a826145bd5338a5bb7ab50670270ea8784292c077daa5daefd26b70

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T10:47:36.957871Z digest=sha256:065fc7ea5f2fe5caa18564f65dbd2e663b9e3f53bba55d4909956d1369fc597f

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T10:47:36.964208Z digest=sha256:ae2f556832c18f1665cb13fe91c8d582615861ddf9c4f266f925b030ff1cd33e

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T10:47:36.970836Z digest=sha256:a30eb990fd2e7cd86be0daf028157af606f44f349431b3bbedd2623823f5f7ff

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T10:47:36.978095Z digest=sha256:3127b85ebb414b61529c2c2328115a9c2bb8f7e3f514b0b5411db03cba0c3dc9

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.