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Paper Citation Record · LEDGER

Linguistically-Aligned and Visually-Grounded Preference Optimization for Clinically-Augmented Medical Report Generation

As of 18 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 0 inbound Pith citation observations for arXiv:2608.08494.

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

pith.paper-citation-record.v1
2608.08494 v2

Coverage vector

measured 49 of 49 reference resolution

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measured 49 of 49 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.

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measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

49 of 49 outbound references displayed

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External citation measurements

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Outbound references

Observation 4eee5450-0598-412c-8f88-5ce138f5b94e · outbound

This paper cites GPT-4 Technical Report.

Linguistically-Aligned and Visually-Grounded Preference Optimization for Clinically-Augmented Medical Report Generation GPT-4 Technical Report

Reference 1

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Observation 477413d0-fdba-43f0-9807-7f5e65d1953e · outbound

This paper cites Direct Preference Optimization for Suppressing Hallucinated Prior Exams in Radiology Report Generation.

Linguistically-Aligned and Visually-Grounded Preference Optimization for Clinically-Augmented Medical Report Generation Direct Preference Optimization for Suppressing Hallucinated Prior Exams in Radiology Report Generation

Reference 2

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This paper cites In: Proceedings of the acl workshop on intrinsic and extrinsic evaluation measures for machine translation and/or summa- rization.

Linguistically-Aligned and Visually-Grounded Preference Optimization for Clinically-Augmented Medical Report Generation In: Proceedings of the acl workshop on intrinsic and extrinsic evaluation measures for machine translation and/or summa- rization

Reference 3

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Observation 2938aae5-a992-405c-89fe-fd6d7f51e8ff · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

Linguistically-Aligned and Visually-Grounded Preference Optimization for Clinically-Augmented Medical Report Generation In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 4

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Observation 88f106b0-d86a-411d-a6b1-0d448120025d · outbound

This paper cites In: Proceedings of the 2020 Conference on Empiri- cal Methods in Natural Language Processing (EMNLP).

Linguistically-Aligned and Visually-Grounded Preference Optimization for Clinically-Augmented Medical Report Generation In: Proceedings of the 2020 Conference on Empiri- cal Methods in Natural Language Processing (EMNLP)

Reference 5

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Observation abdde8ee-03bd-4271-ae87-01db77596177 · outbound

This paper cites IEEE Transactions on Medical Imaging (2025).

Linguistically-Aligned and Visually-Grounded Preference Optimization for Clinically-Augmented Medical Report Generation IEEE Transactions on Medical Imaging (2025)

Reference 6

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Observation 51edd9ac-405a-4548-bc8a-216e9075542c · outbound

This paper cites Journal of the American Medical Informatics Association23(2), 304–310 (2015).

Linguistically-Aligned and Visually-Grounded Preference Optimization for Clinically-Augmented Medical Report Generation Journal of the American Medical Informatics Association23(2), 304–310 (2015)

Reference 7

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Observation 0dcc9500-4ad8-49a9-8852-dfefc6879ade · outbound

This paper cites Medical Report Generation Is A Multi-label Classification Problem.

Linguistically-Aligned and Visually-Grounded Preference Optimization for Clinically-Augmented Medical Report Generation Medical Report Generation Is A Multi-label Classification Problem

Reference 8

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Linguistically-Aligned and Visually-Grounded Preference Optimization for Clinically-Augmented Medical Report Generation Unresolved cited work

Reference 9

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This paper cites Advances in Neural Information Processing Systems37, 107249–107269 (2024).

Linguistically-Aligned and Visually-Grounded Preference Optimization for Clinically-Augmented Medical Report Generation Advances in Neural Information Processing Systems37, 107249–107269 (2024)

Reference 10

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This paper cites RADAR: Enhancing Radiology Report Generation with Supplementary Knowledge Injection.

Linguistically-Aligned and Visually-Grounded Preference Optimization for Clinically-Augmented Medical Report Generation RADAR: Enhancing Radiology Report Generation with Supplementary Knowledge Injection

Reference 11

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Observation e833808d-d4cc-4584-a11f-fbf683971c53 · outbound

This paper cites Iclr1(2), 3 (2022) 16 Q.

Linguistically-Aligned and Visually-Grounded Preference Optimization for Clinically-Augmented Medical Report Generation Iclr1(2), 3 (2022) 16 Q

Reference 12

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This paper cites In: International Conference on Medical Image Computing and Computer-Assisted Intervention.

Linguistically-Aligned and Visually-Grounded Preference Optimization for Clinically-Augmented Medical Report Generation In: International Conference on Medical Image Computing and Computer-Assisted Intervention

Reference 13

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This paper cites arXiv preprint arXiv:2601.09209 (2026).

Linguistically-Aligned and Visually-Grounded Preference Optimization for Clinically-Augmented Medical Report Generation arXiv preprint arXiv:2601.09209 (2026)

Reference 14

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This paper cites In: International Conference on Medical Image Computing and Computer-Assisted Intervention.

Linguistically-Aligned and Visually-Grounded Preference Optimization for Clinically-Augmented Medical Report Generation In: International Conference on Medical Image Computing and Computer-Assisted Intervention

Reference 15

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Observation 038daf84-db34-465e-905d-23e5a922999d · outbound

This paper cites RadGraph: Extracting Clinical Entities and Relations from Radiology Reports.

Linguistically-Aligned and Visually-Grounded Preference Optimization for Clinically-Augmented Medical Report Generation RadGraph: Extracting Clinical Entities and Relations from Radiology Reports

Reference 16

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This paper cites In: Proceedings of the AAAI Conference on Artificial Intelligence.

Linguistically-Aligned and Visually-Grounded Preference Optimization for Clinically-Augmented Medical Report Generation In: Proceedings of the AAAI Conference on Artificial Intelligence

Reference 17

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Linguistically-Aligned and Visually-Grounded Preference Optimization for Clinically-Augmented Medical Report Generation In: Proceedings of the 56th annual meeting of the association for computational linguistics (volume 1: long papers)

Reference 18

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Observation 8aa71898-9eab-4130-8bec-1ad79dc78acc · outbound

This paper cites Scientific data6(1), 317 (2019).

Linguistically-Aligned and Visually-Grounded Preference Optimization for Clinically-Augmented Medical Report Generation Scientific data6(1), 317 (2019)

Reference 19

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Linguistically-Aligned and Visually-Grounded Preference Optimization for Clinically-Augmented Medical Report Generation Gastroenterology (2025)

Reference 20

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Linguistically-Aligned and Visually-Grounded Preference Optimization for Clinically-Augmented Medical Report Generation In:Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 21

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Linguistically-Aligned and Visually-Grounded Preference Optimization for Clinically-Augmented Medical Report Generation In: Pro- ceedings of the 33rd ACM International Conference on Multimedia

Reference 22

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Linguistically-Aligned and Visually-Grounded Preference Optimization for Clinically-Augmented Medical Report Generation In: Text sum- marization branches out

Reference 23

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Linguistically-Aligned and Visually-Grounded Preference Optimization for Clinically-Augmented Medical Report Generation In: Findings of the association for com- putational linguistics: ACL-IJCNLP 2021

Reference 24

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Linguistically-Aligned and Visually-Grounded Preference Optimization for Clinically-Augmented Medical Report Generation In: International Conference on Medical Image Computing and Computer-Assisted Intervention

Reference 25

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Linguistically-Aligned and Visually-Grounded Preference Optimization for Clinically-Augmented Medical Report Generation Decoupled Weight Decay Regularization

Reference 26

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This paper cites In: Proceedings of the 40th annual meeting of the Association for Computational Linguistics.

Linguistically-Aligned and Visually-Grounded Preference Optimization for Clinically-Augmented Medical Report Generation In: Proceedings of the 40th annual meeting of the Association for Computational Linguistics

Reference 27

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This paper cites Advances in neural information processing systems36, 53728–53741 (2023).

Linguistically-Aligned and Visually-Grounded Preference Optimization for Clinically-Augmented Medical Report Generation Advances in neural information processing systems36, 53728–53741 (2023)

Reference 28

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Linguistically-Aligned and Visually-Grounded Preference Optimization for Clinically-Augmented Medical Report Generation Proximal Policy Optimization Algorithms

Reference 29

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Linguistically-Aligned and Visually-Grounded Preference Optimization for Clinically-Augmented Medical Report Generation DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 30

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Linguistically-Aligned and Visually-Grounded Preference Optimization for Clinically-Augmented Medical Report Generation CheXbert: Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT

Reference 31

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Linguistically-Aligned and Visually-Grounded Preference Optimization for Clinically-Augmented Medical Report Generation In: Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing

Reference 32

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This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Linguistically-Aligned and Visually-Grounded Preference Optimization for Clinically-Augmented Medical Report Generation In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 33

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This paper cites In: Findings of the Association for Computational Linguistics: NAACL 2025.

Linguistically-Aligned and Visually-Grounded Preference Optimization for Clinically-Augmented Medical Report Generation In: Findings of the Association for Computational Linguistics: NAACL 2025

Reference 34

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:38:38.796803Z digest=sha256:1d13c59f0dae294b689cc4a5c942d7d96b4c31cb24c8b14838014440cb5e6fb4

Observation 5ac38b0e-cd75-484f-8a35-42dd21d75df6 · outbound

This paper cites arXiv preprint arXiv:2512.02710 (2025).

Linguistically-Aligned and Visually-Grounded Preference Optimization for Clinically-Augmented Medical Report Generation arXiv preprint arXiv:2512.02710 (2025)

Reference 35

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no resolver link, observed 2026-08-14T04:38:38.874038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:38:38.874038Z digest=sha256:e7efccbc2ebe38cd57eb598fdacdb312e4ea0964db32b8fd86bb85e4c5b08b7a

Observation f9d8a54a-88fb-4833-b621-02087ce4e3de · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

Linguistically-Aligned and Visually-Grounded Preference Optimization for Clinically-Augmented Medical Report Generation In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 36

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verified fuzzy
raw_fallback, observed 2026-08-14T04:38:40.589320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T04:38:38.879323Z digest=sha256:e1fad9b90d3c2ef3f659696de78027225b2d62b3e3544d87a670a2eef248d97b

Observation d519a325-ae31-4337-b706-a20360285a65 · outbound

This paper cites Meta-Radiology1(3), 100033 (2023).

Linguistically-Aligned and Visually-Grounded Preference Optimization for Clinically-Augmented Medical Report Generation Meta-Radiology1(3), 100033 (2023)

Reference 37

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unresolved
no resolver link, observed 2026-08-14T04:38:38.885245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:38:38.885245Z digest=sha256:49ffbba1ea2192ac018e4bf6aa9e55dbc19d248c3e401855e2e4e45a2b5ecfdc

Observation 613b1055-cfe4-42e7-b4c0-e8e3b86a8990 · outbound

This paper cites In: Proceedings of the IEEE/CVF international conference on computer vision.

Linguistically-Aligned and Visually-Grounded Preference Optimization for Clinically-Augmented Medical Report Generation In: Proceedings of the IEEE/CVF international conference on computer vision

Reference 38

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no resolver link, observed 2026-08-14T04:38:38.891767Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:38:38.891767Z digest=sha256:8956ecb32db2fc126bf36536411d2cb664a3d26ca997a510e25f16ed2b5e872a

Observation de76e1f2-22b6-4a88-890d-8bc96eb3a753 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Linguistically-Aligned and Visually-Grounded Preference Optimization for Clinically-Augmented Medical Report Generation In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:38:40.457432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T04:38:38.896986Z digest=sha256:cde1d03d2222f46683ac59d815a951f1a3bd44cd6dc1a90859b70c949048bf5f

Observation 2504770c-926c-4912-825e-6946dc7b1fb6 · outbound

This paper cites Medical image analysis80, 102510 (2022).

Linguistically-Aligned and Visually-Grounded Preference Optimization for Clinically-Augmented Medical Report Generation Medical image analysis80, 102510 (2022)

Reference 40

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unresolved
no resolver link, observed 2026-08-14T04:38:38.907123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:38:38.907123Z digest=sha256:57d71371b31c5ebfa047c5305c959be6076d89d20551a4d9516aa75c85f35d9f

Observation 498dc549-8802-4fcf-b977-945b0c49f572 · outbound

This paper cites IEEE Transactions on Medical Imaging (2025).

Linguistically-Aligned and Visually-Grounded Preference Optimization for Clinically-Augmented Medical Report Generation IEEE Transactions on Medical Imaging (2025)

Reference 41

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unresolved
no resolver link, observed 2026-08-14T04:38:38.919713Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:38:38.919713Z digest=sha256:76f9feaa38e0c842ad0580513fa256073e698c136a60eef2fc0b21414ef4b8e9

Observation 4df7d296-8529-4e84-b114-406dcd2007de · outbound

This paper cites Patterns4(9) (2023).

Linguistically-Aligned and Visually-Grounded Preference Optimization for Clinically-Augmented Medical Report Generation Patterns4(9) (2023)

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-14T04:38:38.998313Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:38:38.998313Z digest=sha256:57e63ec279920444c09d92857dabc713fdc33aec466f8ae9697b65d6773ed621

Observation 52186b64-d5b8-44ae-b194-e458a7e4ca8d · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Linguistically-Aligned and Visually-Grounded Preference Optimization for Clinically-Augmented Medical Report Generation In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:38:40.310009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T04:38:39.048071Z digest=sha256:7982babd25faef63e902e64c27fa83b854f669e4cb56ffdc46205c4272be66d1

Observation f1fb04c5-13a6-4977-946d-531cbae6fbe4 · outbound

This paper cites In: Proceedings of the Computer Vision and Pattern Recognition Conference.

Linguistically-Aligned and Visually-Grounded Preference Optimization for Clinically-Augmented Medical Report Generation In: Proceedings of the Computer Vision and Pattern Recognition Conference

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:38:40.186920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T04:38:39.054360Z digest=sha256:1c3d7e85caff1f5b152dbf52183451826f467a886be90d697ac57fea279405b4

Observation 5d9245ad-9885-4fd4-b444-af331e716400 · outbound

This paper cites Advances in Neural Information Processing Systems37, 26171–26194 (2024).

Linguistically-Aligned and Visually-Grounded Preference Optimization for Clinically-Augmented Medical Report Generation Advances in Neural Information Processing Systems37, 26171–26194 (2024)

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:38:40.138933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T04:38:39.059706Z digest=sha256:486e298059a7c327553d08e32b093744073ccc90c1c3e682ec1ef29cb3503e38

Observation c502fae1-2b8b-4b5f-9040-5c328e1bf1f4 · outbound

This paper cites In: Proceedings of the AAAI conference on artificial intelligence.

Linguistically-Aligned and Visually-Grounded Preference Optimization for Clinically-Augmented Medical Report Generation In: Proceedings of the AAAI conference on artificial intelligence

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:38:40.011902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T04:38:39.066040Z digest=sha256:252a777495ec1b9a11e37819dec021072a541e3193e28a413328ee6d2e53f976

Observation 23965e6c-7abc-40fb-990c-9df5b8f0e890 · outbound

This paper cites RaTEScore: A Metric for Radiology Report Generation.

Linguistically-Aligned and Visually-Grounded Preference Optimization for Clinically-Augmented Medical Report Generation RaTEScore: A Metric for Radiology Report Generation

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-14T04:38:39.071159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:38:39.071159Z digest=sha256:074d2a1f5967928c6a8cb5165dbdc9935be648bd856834effdddec26bb0943ae

Observation 56e88a9b-4acc-407d-9f22-2a97a0b5d283 · outbound

This paper cites Multimodal Large Language Model driven Radiology Report Generation with Clinical Knowledge Enhancement.

Linguistically-Aligned and Visually-Grounded Preference Optimization for Clinically-Augmented Medical Report Generation Multimodal Large Language Model driven Radiology Report Generation with Clinical Knowledge Enhancement

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-14T04:38:39.076565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:38:39.076565Z digest=sha256:59136f602666feca19ceb41ead54fd85b428c4563ae5fa318bf02a8c154af0cc

Observation 219ddad3-2909-40e2-a0e8-ab8c8958eda2 · outbound

This paper cites In: Forty-second International Conference on Machine Learning (2025).

Linguistically-Aligned and Visually-Grounded Preference Optimization for Clinically-Augmented Medical Report Generation In: Forty-second International Conference on Machine Learning (2025)

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:38:39.952241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T04:38:39.137717Z digest=sha256:9f6d7651b93083addee8b40ffab3d5de3a2bf1e4801eb5585c75aee5ce7bd53a

Pith citing papers

No inbound Pith citation observations are available.