Diagnosing as Cardiologists Do: ECG Agents with Doctor-Grounded Priors for Clinical Reasoning Across Diseases and Populations | Paper Citation Record

Observation 650d16e3-b1c0-4194-b372-5c90f1bc5177 · outbound

This paper cites Screening for cardiac contractile dysfunction using an artificial intelligence--enabled electrocardiogram.

Diagnosing as Cardiologists Do: ECG Agents with Doctor-Grounded Priors for Clinical Reasoning Across Diseases and Populations Screening for cardiac contractile dysfunction using an artificial intelligence--enabled electrocardiogram

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-14T04:22:35.531197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2bf5c5e2-c140-499a-bc62-951a538bff73 · outbound

This paper cites An artificial intelligence-enabled ECG algorithm for the identification of patients with atrial fibrillation during sinus rhythm: a retrospective analysis of outcome prediction.

Diagnosing as Cardiologists Do: ECG Agents with Doctor-Grounded Priors for Clinical Reasoning Across Diseases and Populations An artificial intelligence-enabled ECG algorithm for the identification of patients with atrial fibrillation during sinus rhythm: a retrospective analysis of outcome prediction

Reference 2

Resolution: verified exact; doi, observed 2026-08-14T04:22:36.083482Z

Source-reported events for the cited work

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

Observation 0744e49c-9382-4c55-a5ac-d25ad56bb71c · outbound

This paper cites Towards domain generalization for ECG and EEG classification: Algorithms and benchmarks.

Diagnosing as Cardiologists Do: ECG Agents with Doctor-Grounded Priors for Clinical Reasoning Across Diseases and Populations Towards domain generalization for ECG and EEG classification: Algorithms and benchmarks

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:22:36.833532Z

Source-reported events for the cited work

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

Observation eaddba75-4f52-4a46-9ed3-f5ea53c91c65 · outbound

This paper cites Curriculum learning.

Diagnosing as Cardiologists Do: ECG Agents with Doctor-Grounded Priors for Clinical Reasoning Across Diseases and Populations Curriculum learning

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-14T04:22:35.547497Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f05b0fad-88e9-43f1-bdbc-cefa7fd41dba · outbound

This paper cites Meyer, Yuning Chai, and Yong Jae Lee.

Diagnosing as Cardiologists Do: ECG Agents with Doctor-Grounded Priors for Clinical Reasoning Across Diseases and Populations Meyer, Yuning Chai, and Yong Jae Lee

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:22:36.819603Z

Source-reported events for the cited work

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

Observation 8dd6be16-39db-479e-b248-864f1b8ca559 · outbound

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

Diagnosing as Cardiologists Do: ECG Agents with Doctor-Grounded Priors for Clinical Reasoning Across Diseases and Populations Generating radiology reports via memory-driven transformer

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:22:36.804753Z

Source-reported events for the cited work

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

Observation e56b41f0-fdc9-40fc-b6d0-d30c21f30601 · outbound

This paper cites an unresolved cited work.

Diagnosing as Cardiologists Do: ECG Agents with Doctor-Grounded Priors for Clinical Reasoning Across Diseases and Populations Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-14T04:22:36.781843Z

Source-reported events for the cited work

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

Observation dad29c29-4206-4e8f-93fc-a49653fc3052 · outbound

This paper cites William Hancock, Barbara J.

Diagnosing as Cardiologists Do: ECG Agents with Doctor-Grounded Priors for Clinical Reasoning Across Diseases and Populations William Hancock, Barbara J

Reference 8

Resolution: verified exact; doi, observed 2026-08-14T04:22:36.061576Z

Source-reported events for the cited work

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

Observation 60d3b9c2-fc81-40d4-8407-45a8f6b2bc5f · outbound

This paper cites Hannun, Pranav Rajpurkar, Masoumeh Haghpanahi, Geoffrey H.

Diagnosing as Cardiologists Do: ECG Agents with Doctor-Grounded Priors for Clinical Reasoning Across Diseases and Populations Hannun, Pranav Rajpurkar, Masoumeh Haghpanahi, Geoffrey H

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-14T04:22:35.571324Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9393c858-af2f-4b54-b464-690a7b51e07e · outbound

This paper cites MINA : Multilevel knowledge-guided attention for modeling electrocardiography signals.

Diagnosing as Cardiologists Do: ECG Agents with Doctor-Grounded Priors for Clinical Reasoning Across Diseases and Populations MINA : Multilevel knowledge-guided attention for modeling electrocardiography signals

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:22:36.764005Z

Source-reported events for the cited work

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

Observation 031b6f2f-d2de-4377-99e7-84288e4d1fcc · outbound

This paper cites Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen.

Diagnosing as Cardiologists Do: ECG Agents with Doctor-Grounded Priors for Clinical Reasoning Across Diseases and Populations Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-14T04:22:35.581652Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f40d183-a271-4868-b4e9-62ef10043dfd · outbound

This paper cites Lungren, Andrew Y.

Diagnosing as Cardiologists Do: ECG Agents with Doctor-Grounded Priors for Clinical Reasoning Across Diseases and Populations Lungren, Andrew Y

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:22:36.738869Z

Source-reported events for the cited work

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

Observation d23bf6fd-16d3-4728-88d8-bbf758691f02 · outbound

This paper cites ECG-R1: Protocol-Guided and Modality-Agnostic MLLM for Reliable ECG Interpretation.

Diagnosing as Cardiologists Do: ECG Agents with Doctor-Grounded Priors for Clinical Reasoning Across Diseases and Populations ECG-R1: Protocol-Guided and Modality-Agnostic MLLM for Reliable ECG Interpretation

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-14T04:22:35.614746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c3f0f3a-4be6-49b7-b5c8-c49fb57cf4c0 · outbound

This paper cites Deep learning based ECG segmentation for delineation of diverse arrhythmias.

Diagnosing as Cardiologists Do: ECG Agents with Doctor-Grounded Priors for Clinical Reasoning Across Diseases and Populations Deep learning based ECG segmentation for delineation of diverse arrhythmias

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:22:36.725304Z

Source-reported events for the cited work

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

Observation 429f833d-91a7-43e2-90ca-e79ebf31e2fe · outbound

This paper cites Physics-informed machine learning.

Diagnosing as Cardiologists Do: ECG Agents with Doctor-Grounded Priors for Clinical Reasoning Across Diseases and Populations Physics-informed machine learning

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-14T04:22:35.628604Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1fb1cb75-c030-4987-9442-238c292bd406 · outbound

This paper cites Gettes, James J.

Diagnosing as Cardiologists Do: ECG Agents with Doctor-Grounded Priors for Clinical Reasoning Across Diseases and Populations Gettes, James J

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-14T04:22:35.633107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 79b41841-3e38-413f-9d83-f79796749f2e · outbound

This paper cites Pawan Kumar, Benjamin Packer, and Daphne Koller.

Diagnosing as Cardiologists Do: ECG Agents with Doctor-Grounded Priors for Clinical Reasoning Across Diseases and Populations Pawan Kumar, Benjamin Packer, and Daphne Koller

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-14T04:22:35.637591Z

Source-reported events for the cited work

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Observation c8ff8dfb-364c-4e7b-9ae7-e92a5f87c854 · outbound

This paper cites GEM : Empowering MLLM for grounded ECG understanding with time series and images.

Diagnosing as Cardiologists Do: ECG Agents with Doctor-Grounded Priors for Clinical Reasoning Across Diseases and Populations GEM : Empowering MLLM for grounded ECG understanding with time series and images

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-14T04:22:35.643573Z

Source-reported events for the cited work

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Observation 94ac4b7e-8a15-445a-9cb9-79782c261438 · outbound

This paper cites LLaVA-Med : Training a large language-and-vision assistant for biomedicine in one day.

Diagnosing as Cardiologists Do: ECG Agents with Doctor-Grounded Priors for Clinical Reasoning Across Diseases and Populations LLaVA-Med : Training a large language-and-vision assistant for biomedicine in one day

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:22:36.700104Z

Source-reported events for the cited work

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

Observation 59578a60-3cdc-4eba-a62a-39a9d653b338 · outbound

This paper cites Let's Verify Step by Step.

Diagnosing as Cardiologists Do: ECG Agents with Doctor-Grounded Priors for Clinical Reasoning Across Diseases and Populations Let's Verify Step by Step

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-14T04:22:35.652330Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1dab8ff2-1e51-4cc3-b884-268472cc612d · outbound

This paper cites Knowledge-enhanced Multimodal ECG Representation Learning with Arbitrary-Lead Inputs.

Diagnosing as Cardiologists Do: ECG Agents with Doctor-Grounded Priors for Clinical Reasoning Across Diseases and Populations Knowledge-enhanced Multimodal ECG Representation Learning with Arbitrary-Lead Inputs

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-14T04:22:35.657084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d0070978-f178-4b86-ac55-601c5b9fc8d4 · outbound

This paper cites Zero-Shot ECG Classification with Multimodal Learning and Test-time Clinical Knowledge Enhancement.

Diagnosing as Cardiologists Do: ECG Agents with Doctor-Grounded Priors for Clinical Reasoning Across Diseases and Populations Zero-Shot ECG Classification with Multimodal Learning and Test-time Clinical Knowledge Enhancement

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-14T04:22:35.661601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1714eebb-1799-4304-bf45-2cdb988d970e · outbound

This paper cites Teaching multimodal LLMs to comprehend 12-lead electrocardiographic images.

Diagnosing as Cardiologists Do: ECG Agents with Doctor-Grounded Priors for Clinical Reasoning Across Diseases and Populations Teaching multimodal LLMs to comprehend 12-lead electrocardiographic images

Reference 23

Resolution: verified exact; doi, observed 2026-08-14T04:22:36.002212Z

Source-reported events for the cited work

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

Observation b4b643ed-5c5b-4fd9-af2e-705c7d02fb61 · outbound

This paper cites A wavelet-based ECG delineator: evaluation on standard databases.

Diagnosing as Cardiologists Do: ECG Agents with Doctor-Grounded Priors for Clinical Reasoning Across Diseases and Populations A wavelet-based ECG delineator: evaluation on standard databases

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:22:36.684811Z

Source-reported events for the cited work

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

Observation 3e165227-1218-4130-96ca-a267d8fb06b8 · outbound

This paper cites ECG-FM: An Open Electrocardiogram Foundation Model.

Diagnosing as Cardiologists Do: ECG Agents with Doctor-Grounded Priors for Clinical Reasoning Across Diseases and Populations ECG-FM: An Open Electrocardiogram Foundation Model

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-14T04:22:35.679222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7fc3107b-bf69-46da-88fb-19201613b586 · outbound

This paper cites Improving factual completeness and consistency of image-to-text radiology report generation.

Diagnosing as Cardiologists Do: ECG Agents with Doctor-Grounded Priors for Clinical Reasoning Across Diseases and Populations Improving factual completeness and consistency of image-to-text radiology report generation

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:22:36.670000Z

Source-reported events for the cited work

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

Observation 3af61f7c-c18d-4656-94a5-3af368f89f4e · outbound

This paper cites Guiding masked representation learning to capture spatio-temporal relationship of electrocardiogram.

Diagnosing as Cardiologists Do: ECG Agents with Doctor-Grounded Priors for Clinical Reasoning Across Diseases and Populations Guiding masked representation learning to capture spatio-temporal relationship of electrocardiogram

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:22:36.657021Z

Source-reported events for the cited work

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

Observation 3984a980-e653-4587-9991-87545233c6fb · outbound

This paper cites ECG-QA: A Comprehensive Question Answering Dataset Combined With Electrocardiogram.

Diagnosing as Cardiologists Do: ECG Agents with Doctor-Grounded Priors for Clinical Reasoning Across Diseases and Populations ECG-QA: A Comprehensive Question Answering Dataset Combined With Electrocardiogram

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-14T04:22:35.729743Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 89c96eb4-0b82-42e1-9eeb-892db0989f4c · outbound

This paper cites Bleu: a method for automatic evaluation of machine translation.

Diagnosing as Cardiologists Do: ECG Agents with Doctor-Grounded Priors for Clinical Reasoning Across Diseases and Populations Bleu: a method for automatic evaluation of machine translation

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:22:36.643910Z

Source-reported events for the cited work

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

Observation 1bd8a695-24a2-4dda-b879-09ee64b5d154 · outbound

This paper cites DENS-ECG : A deep learning approach for ECG signal delineation.

Diagnosing as Cardiologists Do: ECG Agents with Doctor-Grounded Priors for Clinical Reasoning Across Diseases and Populations DENS-ECG : A deep learning approach for ECG signal delineation

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:22:36.628730Z

Source-reported events for the cited work

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

Observation 6ef3e813-8ac0-40a7-8716-7dc086ba796e · outbound

This paper cites Qwen3-VL : A frontier vision-language family.

Diagnosing as Cardiologists Do: ECG Agents with Doctor-Grounded Priors for Clinical Reasoning Across Diseases and Populations Qwen3-VL : A frontier vision-language family

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:22:36.614556Z

Source-reported events for the cited work

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

Observation 527080f7-db1b-4aa9-ad01-d7b42fcd580b · outbound

This paper cites Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations.

Diagnosing as Cardiologists Do: ECG Agents with Doctor-Grounded Priors for Clinical Reasoning Across Diseases and Populations Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:22:36.599672Z

Source-reported events for the cited work

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

Observation 9dd2340e-2dff-49c0-bd3b-93fc03188a76 · outbound

This paper cites Ribeiro, Manoel Horta Ribeiro, Gabriela M.

Diagnosing as Cardiologists Do: ECG Agents with Doctor-Grounded Priors for Clinical Reasoning Across Diseases and Populations Ribeiro, Manoel Horta Ribeiro, Gabriela M

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-14T04:22:35.757983Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a56b3ae-f222-4922-919f-cef4794ab2c3 · outbound

This paper cites What does CLIP know about a red circle? Visual prompt engineering for VLMs.

Diagnosing as Cardiologists Do: ECG Agents with Doctor-Grounded Priors for Clinical Reasoning Across Diseases and Populations What does CLIP know about a red circle? Visual prompt engineering for VLMs

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-14T04:22:35.763669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b29b6da4-7de3-4b5b-b7e6-704c8a7e4db1 · outbound

This paper cites Artificial intelligence-enhanced electrocardiography in cardiovascular disease management.

Diagnosing as Cardiologists Do: ECG Agents with Doctor-Grounded Priors for Clinical Reasoning Across Diseases and Populations Artificial intelligence-enhanced electrocardiography in cardiovascular disease management

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-14T04:22:35.768175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13e329e5-a04c-4ba6-9ed8-85d1bb72f5dc · outbound

This paper cites Deep learning for ECG analysis: Benchmarks and insights from PTB-XL.

Diagnosing as Cardiologists Do: ECG Agents with Doctor-Grounded Priors for Clinical Reasoning Across Diseases and Populations Deep learning for ECG analysis: Benchmarks and insights from PTB-XL

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-14T04:22:35.773606Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb02de65-af6e-4977-a85f-5cbcf26f987e · outbound

This paper cites Deal, Leonard S.

Diagnosing as Cardiologists Do: ECG Agents with Doctor-Grounded Priors for Clinical Reasoning Across Diseases and Populations Deal, Leonard S

Reference 37

Resolution: verified exact; doi, observed 2026-08-14T04:22:36.569123Z

Source-reported events for the cited work

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

Observation 892bebfa-50cf-4a83-8447-e0604b4aba79 · outbound

This paper cites Towards generalist biomedical AI.

Diagnosing as Cardiologists Do: ECG Agents with Doctor-Grounded Priors for Clinical Reasoning Across Diseases and Populations Towards generalist biomedical AI

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-14T04:22:35.796868Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c4bda4a-b52e-4907-880c-00a3692b7cdb · outbound

This paper cites Lawrence Zitnick, and Devi Parikh.

Diagnosing as Cardiologists Do: ECG Agents with Doctor-Grounded Priors for Clinical Reasoning Across Diseases and Populations Lawrence Zitnick, and Devi Parikh

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-14T04:22:35.826656Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 460bcc60-ab07-4faa-9ba3-1747e6f7a51d · outbound

This paper cites Wagner, Peter Macfarlane, Hein Wellens, Mark Josephson, Anton Gorgels, David M.

Diagnosing as Cardiologists Do: ECG Agents with Doctor-Grounded Priors for Clinical Reasoning Across Diseases and Populations Wagner, Peter Macfarlane, Hein Wellens, Mark Josephson, Anton Gorgels, David M

Reference 40

Resolution: verified exact; doi, observed 2026-08-14T04:22:35.907515Z

Source-reported events for the cited work

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

Observation 58a62e16-a306-4af7-a99a-8e221b49f399 · outbound

This paper cites PTB-XL , a large publicly available electrocardiography dataset.

Diagnosing as Cardiologists Do: ECG Agents with Doctor-Grounded Priors for Clinical Reasoning Across Diseases and Populations PTB-XL , a large publicly available electrocardiography dataset

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:22:36.555130Z

Source-reported events for the cited work

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

Observation c36f5d9e-de91-47d8-a759-06206abeda0d · outbound

This paper cites Contrastive Region Guidance: Improving Grounding in Vision-Language Models without Training.

Diagnosing as Cardiologists Do: ECG Agents with Doctor-Grounded Priors for Clinical Reasoning Across Diseases and Populations Contrastive Region Guidance: Improving Grounding in Vision-Language Models without Training

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-14T04:22:35.840627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62945bd4-c892-4298-89cf-b081077afa7f · outbound

This paper cites MEIT : Multimodal electrocardiogram instruction tuning on large language models for report generation.

Diagnosing as Cardiologists Do: ECG Agents with Doctor-Grounded Priors for Clinical Reasoning Across Diseases and Populations MEIT : Multimodal electrocardiogram instruction tuning on large language models for report generation

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:22:36.542209Z

Source-reported events for the cited work

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

Observation 21c62d8d-186c-4306-9da0-336071e6cd85 · outbound

This paper cites Chain-of-Thought Prompting Elicits Reasoning in Large Language Models.

Diagnosing as Cardiologists Do: ECG Agents with Doctor-Grounded Priors for Clinical Reasoning Across Diseases and Populations Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-14T04:22:35.849180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8cda5a0-9f5f-43e1-bde9-fe0c9c27962e · outbound

This paper cites Set-of-Mark Prompting Unleashes Extraordinary Visual Grounding in GPT-4V.

Diagnosing as Cardiologists Do: ECG Agents with Doctor-Grounded Priors for Clinical Reasoning Across Diseases and Populations Set-of-Mark Prompting Unleashes Extraordinary Visual Grounding in GPT-4V

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-14T04:22:35.856793Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5be4442-15f9-4c86-80aa-375706a7e28e · outbound

This paper cites Multi-class arrhythmia detection from twelve-lead varied-length ECG using attention-based time-incremental convolutional neural network.

Diagnosing as Cardiologists Do: ECG Agents with Doctor-Grounded Priors for Clinical Reasoning Across Diseases and Populations Multi-class arrhythmia detection from twelve-lead varied-length ECG using attention-based time-incremental convolutional neural network

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:22:36.526480Z

Source-reported events for the cited work

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

Observation a458d112-27ac-42ba-9c91-3d0d6b90079d · outbound

This paper cites ECG-Chat: A Large ECG-Language Model for Cardiac Disease Diagnosis.

Diagnosing as Cardiologists Do: ECG Agents with Doctor-Grounded Priors for Clinical Reasoning Across Diseases and Populations ECG-Chat: A Large ECG-Language Model for Cardiac Disease Diagnosis

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-14T04:22:35.867061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Reference resolution

Outbound references

Pith citing papers