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Paper Citation Record · LEDGER

ECG-Byte: A Tokenizer for End-to-End Generative Electrocardiogram Language Modeling

As of 14 August 2026, this Paper Citation Record lists 82 of 82 outbound references and 2 inbound Pith citation observations for arXiv:2412.14373.

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

pith.paper-citation-record.v1
2412.14373 v3

Coverage vector

measured 82 of 82 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T12:20:26.028463Z

measured 84 of 84 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:27:14.086852Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-06-29T18:33:50.341736Z

Reference resolution

82 of 82 outbound references displayed

  • verified exact6
  • verified fuzzy5
  • unresolved70
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation af14f367-45f6-493f-8ac0-195be67bd773 · outbound

This paper cites VL-InterpreT: An Interactive Visualization Tool for Interpreting Vision-Language Transformers.

ECG-Byte: A Tokenizer for End-to-End Generative Electrocardiogram Language Modeling VL-InterpreT: An Interactive Visualization Tool for Interpreting Vision-Language Transformers

Reference 1

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source=arxiv_source observed=2026-08-11T12:20:25.563248Z digest=sha256:13f09d4b37a6d68c3757a10f801296a1a6221511605740830bd03902649d3851

Observation a04311fa-ca6f-447f-8004-69fdcc1aff5a · outbound

This paper cites HiRED: Attention-Guided Token Dropping for Efficient Inference of High-Resolution Vision-Language Models.

ECG-Byte: A Tokenizer for End-to-End Generative Electrocardiogram Language Modeling HiRED: Attention-Guided Token Dropping for Efficient Inference of High-Resolution Vision-Language Models

Reference 2

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source=arxiv_source observed=2026-08-11T12:20:25.570536Z digest=sha256:0b871f20114bad4cc55c96846e2502ccfe3d28093a62ee639e760485c2212c73

Observation 17068252-dd43-4afc-a995-64ca2ae901d5 · outbound

This paper cites Meteor: An automatic metric for mt evaluation with improved correlation with human judgments.

ECG-Byte: A Tokenizer for End-to-End Generative Electrocardiogram Language Modeling Meteor: An automatic metric for mt evaluation with improved correlation with human judgments

Reference 3

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source=arxiv_source observed=2026-08-11T12:20:25.576801Z digest=sha256:37df54f6a9b2601c25a3c9bc87ff84c14a0e6e356e55130a1c3ee453cd7c8ee1

Observation 9cd891f3-85b3-401c-9f9b-6461d029fc22 · outbound

This paper cites Fuyu-8b: A multimodal architecture for ai agents, 10 2023.

ECG-Byte: A Tokenizer for End-to-End Generative Electrocardiogram Language Modeling Fuyu-8b: A multimodal architecture for ai agents, 10 2023

Reference 4

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source=arxiv_source observed=2026-08-11T12:20:25.583524Z digest=sha256:27cd8376eff5d4c571c5bf0aeaee65485404df204a742dfe6fd93db8b48264cf

Observation c4f4b7ef-74b6-4424-af76-b542fd4db33a · outbound

This paper cites Language Models are Few-Shot Learners.

ECG-Byte: A Tokenizer for End-to-End Generative Electrocardiogram Language Modeling Language Models are Few-Shot Learners

Reference 5

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source=arxiv_source observed=2026-08-11T12:20:25.588945Z digest=sha256:e4e1146b0a4ea2d51d6de366bcbc2d07258b44384a143cea1f7332343a441419

Observation b2e77535-7e16-4c2f-b9ee-5736e0259c01 · outbound

This paper cites Llm-abba: Understand time series via symbolic approximation, 2024 a.

ECG-Byte: A Tokenizer for End-to-End Generative Electrocardiogram Language Modeling Llm-abba: Understand time series via symbolic approximation, 2024 a

Reference 6

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source=arxiv_source observed=2026-08-11T12:20:25.594416Z digest=sha256:fa4949768ffcdd30212b72579a3f29b2a5fd5b273c715d1d7c836a97e516ccad

Observation a80cafd3-d326-4d23-b886-67aa7178b96f · outbound

This paper cites Quantized symbolic time series approximation.

ECG-Byte: A Tokenizer for End-to-End Generative Electrocardiogram Language Modeling Quantized symbolic time series approximation

Reference 7

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source=arxiv_source observed=2026-08-11T12:20:25.600351Z digest=sha256:2d29053ba355736e1bb5e0d2bc2d826c2876ec968d6a200c4812be9601e3931c

Observation 395cdf3e-31c9-4214-a1a1-77badf6cc1b7 · outbound

This paper cites Fleet, and Geoffrey Hinton.

ECG-Byte: A Tokenizer for End-to-End Generative Electrocardiogram Language Modeling Fleet, and Geoffrey Hinton

Reference 8

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source=arxiv_source observed=2026-08-11T12:20:25.607070Z digest=sha256:5be932825e17cff2579611138fa9630998c460a2241cc09630e02407d8900ec4

Observation 12bb2149-1b43-4374-9eb1-fabc92babfd1 · outbound

This paper cites Yhdego, Fatemeh Khadem, and Fatemeh Afghah.

ECG-Byte: A Tokenizer for End-to-End Generative Electrocardiogram Language Modeling Yhdego, Fatemeh Khadem, and Fatemeh Afghah

Reference 9

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source=arxiv_source observed=2026-08-11T12:20:25.613535Z digest=sha256:db64041ce8795843039d3c04f0ab1ab3d3786b521c44d056629cf63865ac8445

Observation bce29538-6851-4df7-b9ab-f4a93e6d12d2 · outbound

This paper cites Fading focus: Mitigating visual attention degradation in large vision-language models, 2024.

ECG-Byte: A Tokenizer for End-to-End Generative Electrocardiogram Language Modeling Fading focus: Mitigating visual attention degradation in large vision-language models, 2024

Reference 10

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Source-reported events for the cited work

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

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Observation daf2677f-e8ca-452f-aecf-888f50a1476e · outbound

This paper cites Getting the most out of your tokenizer for pre-training and domain adaptation.

ECG-Byte: A Tokenizer for End-to-End Generative Electrocardiogram Language Modeling Getting the most out of your tokenizer for pre-training and domain adaptation

Reference 11

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source=arxiv_source observed=2026-08-11T12:20:25.624359Z digest=sha256:a8759aa4d47c0dd44adcef529346ee4b358b2db713af2ca31c0ac7849d03f0cf

Observation 6a857d5a-55b1-403a-80f5-b2ab4131420e · outbound

This paper cites Bert: Pre-training of deep bidirectional transformers for language understanding, 2019.

ECG-Byte: A Tokenizer for End-to-End Generative Electrocardiogram Language Modeling Bert: Pre-training of deep bidirectional transformers for language understanding, 2019

Reference 12

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source=arxiv_source observed=2026-08-11T12:20:25.629944Z digest=sha256:2dd5ca267f397544719ac5b6f01b2566ee80d49607d0897ae4fdd4f3637d23f5

Observation 7e1bbfec-005f-4607-b11a-17934885a95c · outbound

This paper cites Unveiling Encoder-Free Vision-Language Models.

ECG-Byte: A Tokenizer for End-to-End Generative Electrocardiogram Language Modeling Unveiling Encoder-Free Vision-Language Models

Reference 13

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source=arxiv_source observed=2026-08-11T12:20:25.637117Z digest=sha256:2e4f6d6ddd81fd0f035ea7711b84ea4ff1d804f6a4400adbaf50430a2aed6231

Observation fa0ac739-ecfe-4f3d-a565-506006f78ebd · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale, 2021.

ECG-Byte: A Tokenizer for End-to-End Generative Electrocardiogram Language Modeling An image is worth 16x16 words: Transformers for image recognition at scale, 2021

Reference 14

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Observation 237890ed-17eb-49ec-b63a-777b14331dbd · outbound

This paper cites ABBA: Adaptive Brownian bridge-based symbolic aggregation of time series.

ECG-Byte: A Tokenizer for End-to-End Generative Electrocardiogram Language Modeling ABBA: Adaptive Brownian bridge-based symbolic aggregation of time series

Reference 15

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Observation cf31a637-2cb6-4802-8bcb-89ae05cef0f7 · outbound

This paper cites A density-based algorithm for discovering clusters in large spatial databases with noise.

ECG-Byte: A Tokenizer for End-to-End Generative Electrocardiogram Language Modeling A density-based algorithm for discovering clusters in large spatial databases with noise

Reference 16

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raw_fallback, observed 2026-08-11T12:20:28.022927Z

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.

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Observation 7865bc31-de4e-4294-8445-cd273fbc8923 · outbound

This paper cites Cardiogpt: An ecg interpretation generation model.

ECG-Byte: A Tokenizer for End-to-End Generative Electrocardiogram Language Modeling Cardiogpt: An ecg interpretation generation model

Reference 17

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source=arxiv_source observed=2026-08-11T12:20:25.664941Z digest=sha256:2b1c64cd8c3ae7afb1b8380792763949d20b3f6a0857953afad7bf293d7b2ac7

Observation cf4cacf2-278e-4535-87cb-2321cd0875e1 · outbound

This paper cites A new algorithm for data compression.

ECG-Byte: A Tokenizer for End-to-End Generative Electrocardiogram Language Modeling A new algorithm for data compression

Reference 18

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Observation ba00b850-fa32-4985-8982-5d5beae439ab · outbound

This paper cites 3KG: Contrastive Learning of 12-Lead Electrocardiograms using Physiologically-Inspired Augmentations.

ECG-Byte: A Tokenizer for End-to-End Generative Electrocardiogram Language Modeling 3KG: Contrastive Learning of 12-Lead Electrocardiograms using Physiologically-Inspired Augmentations

Reference 19

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Observation 7e61c5b3-22a4-4206-9c03-a1fae2d94a6e · outbound

This paper cites Mimic-iv-ecg: Diagnostic electrocardiogram matched subset, 2023.

ECG-Byte: A Tokenizer for End-to-End Generative Electrocardiogram Language Modeling Mimic-iv-ecg: Diagnostic electrocardiogram matched subset, 2023

Reference 20

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

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Observation 77e7bb8d-55ae-4b91-b159-325ab8c9888e · outbound

This paper cites The Llama 3 Herd of Models.

ECG-Byte: A Tokenizer for End-to-End Generative Electrocardiogram Language Modeling The Llama 3 Herd of Models

Reference 21

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source=arxiv_source observed=2026-08-11T12:20:25.685745Z digest=sha256:458402f9499c51762201a4d8497e03a4dfa1caf7fcb495646694f60e11cc49b8

Observation 725ccfd3-be9f-4940-8dd8-3bebc39b2fed · outbound

This paper cites Training Vision-Language Transformers from Captions.

ECG-Byte: A Tokenizer for End-to-End Generative Electrocardiogram Language Modeling Training Vision-Language Transformers from Captions

Reference 22

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

source=arxiv_source observed=2026-08-11T12:20:25.691192Z digest=sha256:5b380b492c163a5dd97936d01832b62699b1ca78e8d351fa25d983bf1910ebbe

Observation 83ce23bb-3bcf-469f-9a35-d10aea7da7de · outbound

This paper cites Interpretation of Intracardiac Electrograms Through Textual Representations.

ECG-Byte: A Tokenizer for End-to-End Generative Electrocardiogram Language Modeling Interpretation of Intracardiac Electrograms Through Textual Representations

Reference 23

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source=arxiv_source observed=2026-08-11T12:20:25.696380Z digest=sha256:a009686d133e9b3f5debde9aff9dde9556b237fbbcb197fe4211fd09c375c3e7

Observation 447e92f9-6a51-4f40-bf0f-cb98a3863bb8 · outbound

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

ECG-Byte: A Tokenizer for End-to-End Generative Electrocardiogram Language Modeling Hannun, Pranav Rajpurkar, Masoumeh Haghpanahi, Geoffrey H

Reference 24

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source=arxiv_source observed=2026-08-11T12:20:25.701558Z digest=sha256:a3ea04f870efb673890ad2b51241cd5a69a3f7c79a6261fd1c95fa4364d73b8d

Observation f8d61629-07eb-4d2d-912c-b98440f9dd27 · outbound

This paper cites Deep Residual Learning for Image Recognition.

ECG-Byte: A Tokenizer for End-to-End Generative Electrocardiogram Language Modeling Deep Residual Learning for Image Recognition

Reference 25

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Observation 0f9721b8-d2e6-4ec6-bb43-42d5ba5619e7 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

ECG-Byte: A Tokenizer for End-to-End Generative Electrocardiogram Language Modeling LoRA: Low-Rank Adaptation of Large Language Models

Reference 26

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Observation 8bd6f7f1-4803-4b0e-b1d9-da090da0554f · outbound

This paper cites an unresolved cited work.

ECG-Byte: A Tokenizer for End-to-End Generative Electrocardiogram Language Modeling Unresolved cited work

Reference 27

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Observation c4955d76-054b-45bc-aa5d-e1ef617f5dbf · outbound

This paper cites PromptMRG: Diagnosis-Driven Prompts for Medical Report Generation.

ECG-Byte: A Tokenizer for End-to-End Generative Electrocardiogram Language Modeling PromptMRG: Diagnosis-Driven Prompts for Medical Report Generation

Reference 28

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Observation b19953e8-7ceb-4671-b3c8-2872fc851b90 · outbound

This paper cites an unresolved cited work.

ECG-Byte: A Tokenizer for End-to-End Generative Electrocardiogram Language Modeling Unresolved cited work

Reference 29

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source=arxiv_source observed=2026-08-11T12:20:25.729007Z digest=sha256:d33338c93a2ea6abba7779defb1b0238f5fd1e37526454bb3a58c7381a81ec66

Observation f5665f34-c1ce-4e65-b73d-c4813b0acf48 · outbound

This paper cites Counties most in need of cardiologists are the most likely to have none, 07 2024.

ECG-Byte: A Tokenizer for End-to-End Generative Electrocardiogram Language Modeling Counties most in need of cardiologists are the most likely to have none, 07 2024

Reference 30

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Observation 1becaff8-53e4-44dd-af90-a525d0092d05 · outbound

This paper cites Automated diagnostic reports from images of electrocardiograms at the point-of-care.

ECG-Byte: A Tokenizer for End-to-End Generative Electrocardiogram Language Modeling Automated diagnostic reports from images of electrocardiograms at the point-of-care

Reference 31

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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.

source=arxiv_source observed=2026-08-11T12:20:25.739486Z digest=sha256:70bb7b34f822285d7d9093d206ce39118956394c176b5911ebdf1e8b4afc7a13

Observation 372991e5-932c-49f5-af29-20b96ba97529 · outbound

This paper cites Kingma and Jimmy Ba.

ECG-Byte: A Tokenizer for End-to-End Generative Electrocardiogram Language Modeling Kingma and Jimmy Ba

Reference 32

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source=arxiv_source observed=2026-08-11T12:20:25.744915Z digest=sha256:da19e92b57835437e7748d423f5a14fb82ca1b623b6751efab2735ae01afc052

Observation 17b9f42d-3b8e-4c80-8bc7-0875e9f408c0 · outbound

This paper cites CLOCS: Contrastive Learning of Cardiac Signals Across Space, Time, and Patients.

ECG-Byte: A Tokenizer for End-to-End Generative Electrocardiogram Language Modeling CLOCS: Contrastive Learning of Cardiac Signals Across Space, Time, and Patients

Reference 33

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Observation a9954be3-3d74-4b47-a2ca-0a6097ab9227 · outbound

This paper cites Byte-pair encoding for classifying routine clinical electroencephalograms in adults over the lifespan.

ECG-Byte: A Tokenizer for End-to-End Generative Electrocardiogram Language Modeling Byte-pair encoding for classifying routine clinical electroencephalograms in adults over the lifespan

Reference 34

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Observation fb182e91-0d2b-4a40-aca6-26d5fe8ff6fa · outbound

This paper cites A simple weight decay can improve generalization.

ECG-Byte: A Tokenizer for End-to-End Generative Electrocardiogram Language Modeling A simple weight decay can improve generalization

Reference 35

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Observation 25617392-0b33-4921-a1a3-d0bdfe51e074 · outbound

This paper cites SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processing.

ECG-Byte: A Tokenizer for End-to-End Generative Electrocardiogram Language Modeling SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processing

Reference 36

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source=arxiv_source observed=2026-08-11T12:20:25.765094Z digest=sha256:ebe7d6b0cfc3d432b6009887e76e1265912e7d4aa58c7eebaa915c7bfa67ee40

Observation bc9a22ed-d940-422f-b40b-1c6cd0258ec2 · outbound

This paper cites Rouge: A package for automatic evaluation of summaries.

ECG-Byte: A Tokenizer for End-to-End Generative Electrocardiogram Language Modeling Rouge: A package for automatic evaluation of summaries

Reference 37

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source=arxiv_source observed=2026-08-11T12:20:25.770674Z digest=sha256:6e6aa0b87c8367b469729a4d0af490260b3718aca36e2563c8f3df1c38e341b5

Observation 73957574-e687-45b8-9835-c9404d9a9963 · outbound

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

ECG-Byte: A Tokenizer for End-to-End Generative Electrocardiogram Language Modeling Zero-Shot ECG Classification with Multimodal Learning and Test-time Clinical Knowledge Enhancement

Reference 38

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source=arxiv_source observed=2026-08-11T12:20:25.775797Z digest=sha256:d9a89c3be06e54a3fad707ea7c5c0e6b1c41c424a700d581aa5e70633fddac93

Observation aa264dcb-f014-4b0e-93ee-4baa5c2b8b6d · outbound

This paper cites Visual Instruction Tuning.

ECG-Byte: A Tokenizer for End-to-End Generative Electrocardiogram Language Modeling Visual Instruction Tuning

Reference 39

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source=arxiv_source observed=2026-08-11T12:20:25.780961Z digest=sha256:774871b7397420ac1cf4c31c86b395b87c01a533be99cde17066cb41ce6cc5ce

Observation 7e073999-1205-4adb-b6ed-7c44d9574fdf · outbound

This paper cites Improved Baselines with Visual Instruction Tuning.

ECG-Byte: A Tokenizer for End-to-End Generative Electrocardiogram Language Modeling Improved Baselines with Visual Instruction Tuning

Reference 40

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source=arxiv_source observed=2026-08-11T12:20:25.786069Z digest=sha256:c58cd75dde8ba79b6bc777509e02d44710d6ab70636eed8a5bf019efcc32d59d

Observation 6ac4de66-5d36-45c4-9cd6-3a734df59590 · outbound

This paper cites Teach Multimodal LLMs to Comprehend Electrocardiographic Images.

ECG-Byte: A Tokenizer for End-to-End Generative Electrocardiogram Language Modeling Teach Multimodal LLMs to Comprehend Electrocardiographic Images

Reference 41

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source=arxiv_source observed=2026-08-11T12:20:25.791542Z digest=sha256:f3927e74b0392007b1672db7c6db45b05abd3db526c6856bbf132c6a237ca63d

Observation a649b57f-fd82-4625-950a-8ffea4f66ce7 · outbound

This paper cites Some methods for classification and analysis of multivariate observations.

ECG-Byte: A Tokenizer for End-to-End Generative Electrocardiogram Language Modeling Some methods for classification and analysis of multivariate observations

Reference 42

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verified fuzzy
raw_fallback, observed 2026-08-11T12:20:27.893330Z

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.

source=arxiv_source observed=2026-08-11T12:20:25.797203Z digest=sha256:709b641b6ef9bdb495fd1a4c0f32d65aa2a822fdae55bfae48958e79d636460e

Observation d9575a7b-25c0-487a-ac74-fb30598a0456 · outbound

This paper cites Real-time frequency-independent single-lead and single-beat myocardial infarction detection.

ECG-Byte: A Tokenizer for End-to-End Generative Electrocardiogram Language Modeling Real-time frequency-independent single-lead and single-beat myocardial infarction detection

Reference 43

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source=arxiv_source observed=2026-08-11T12:20:25.802268Z digest=sha256:4798c17ee4a46650b290586538d71fc57bac76ea7eaaf788461523a161f3d6b5

Observation 0d5a31eb-f4ae-4114-a246-54333af5039b · outbound

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

ECG-Byte: A Tokenizer for End-to-End Generative Electrocardiogram Language Modeling ECG-FM: An Open Electrocardiogram Foundation Model

Reference 44

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source=arxiv_source observed=2026-08-11T12:20:25.807428Z digest=sha256:9a5a4dcc726264eb355a55d30f04eee7a7dba85886d6b28cde486dcdeaf43faa

Observation 15a52ac3-6315-4faa-abf3-9dcac77799e7 · outbound

This paper cites Guiding Masked Representation Learning to Capture Spatio-Temporal Relationship of Electrocardiogram.

ECG-Byte: A Tokenizer for End-to-End Generative Electrocardiogram Language Modeling Guiding Masked Representation Learning to Capture Spatio-Temporal Relationship of Electrocardiogram

Reference 45

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source=arxiv_source observed=2026-08-11T12:20:25.812692Z digest=sha256:1b41c8a88542db32ef62447dbd80e770dec0f0b0b8851640e01f767c671bd2cc

Observation 1a6d5b4d-de2f-4412-a308-eb8a3f9e7599 · outbound

This paper cites Electrocardiogram classification by modified efficientnet with data augmentation.

ECG-Byte: A Tokenizer for End-to-End Generative Electrocardiogram Language Modeling Electrocardiogram classification by modified efficientnet with data augmentation

Reference 46

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source=arxiv_source observed=2026-08-11T12:20:25.818332Z digest=sha256:6d78d61e71877a2f0c02f78e5738c61846b48550d712fdd6738b362f1bd17053

Observation 153eafef-f50a-487b-a32f-acf4b897ccc8 · outbound

This paper cites Lead-agnostic Self-supervised Learning for Local and Global Representations of Electrocardiogram.

ECG-Byte: A Tokenizer for End-to-End Generative Electrocardiogram Language Modeling Lead-agnostic Self-supervised Learning for Local and Global Representations of Electrocardiogram

Reference 47

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no resolver link, observed 2026-08-11T12:20:25.823858Z

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source=arxiv_source observed=2026-08-11T12:20:25.823858Z digest=sha256:e4d655daef7de2ba00c383818a8c766ea852f99877b4fbad870e67baf4d28013

Observation 0e63511a-1ddb-4238-a306-eb1e0c55e8a2 · outbound

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

ECG-Byte: A Tokenizer for End-to-End Generative Electrocardiogram Language Modeling ECG-QA: A Comprehensive Question Answering Dataset Combined With Electrocardiogram

Reference 48

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source=arxiv_source observed=2026-08-11T12:20:25.829331Z digest=sha256:d3c50339cbef811e6495a5a5470f13db7f727047949b20cb5407b8e43b49c0f5

Observation 68e89906-4826-4e29-80a4-a3ac319ab1d3 · outbound

This paper cites Cardiovascular diseases, 2024.

ECG-Byte: A Tokenizer for End-to-End Generative Electrocardiogram Language Modeling Cardiovascular diseases, 2024

Reference 49

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source=arxiv_source observed=2026-08-11T12:20:25.835341Z digest=sha256:007eff7809b577a5d7f9c52a46fa19fa74724d7a93cafb61fbd48845b78ed84e

Observation 1a26f659-a08a-4372-ade1-81add178c083 · outbound

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

ECG-Byte: A Tokenizer for End-to-End Generative Electrocardiogram Language Modeling Bleu: a method for automatic evaluation of machine translation

Reference 50

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source=arxiv_source observed=2026-08-11T12:20:25.843477Z digest=sha256:67b1d6b53c5f6c13e7f86464e6550aa063daf06da89ca4cbe61c7d082f7a49d7

Observation 46e4bb6a-52e3-48d1-972a-66e651b47787 · outbound

This paper cites Boosting Masked ECG-Text Auto-Encoders as Discriminative Learners.

ECG-Byte: A Tokenizer for End-to-End Generative Electrocardiogram Language Modeling Boosting Masked ECG-Text Auto-Encoders as Discriminative Learners

Reference 51

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source=arxiv_source observed=2026-08-11T12:20:25.848432Z digest=sha256:3ba717f3262512a4e71514a8d2b91f3cdd9418875748ded239b7aa89d521c3a3

Observation d7e376c9-b39b-4bef-ba52-17b4d0940932 · outbound

This paper cites an unresolved cited work.

ECG-Byte: A Tokenizer for End-to-End Generative Electrocardiogram Language Modeling Unresolved cited work

Reference 52

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source=arxiv_source observed=2026-08-11T12:20:25.853602Z digest=sha256:90dae3a540a981ad11410e4d5acdae0c584edb721be8232ec94bb9ee2ad6ecb4

Observation e9b2fd30-fb94-46a9-8683-06df17a580d1 · outbound

This paper cites Rosenberg, Emerson Liu, Douglas Weber, and Ding Zhao.

ECG-Byte: A Tokenizer for End-to-End Generative Electrocardiogram Language Modeling Rosenberg, Emerson Liu, Douglas Weber, and Ding Zhao

Reference 53

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source=arxiv_source observed=2026-08-11T12:20:25.858633Z digest=sha256:f7c4ac65722cc13e94aa90398949f00e281ed430f941971b88e33656f7b5fb6d

Observation b0f1e5eb-4d82-4550-9713-919c43097bc1 · outbound

This paper cites Language models are unsupervised multitask learners, 2019.

ECG-Byte: A Tokenizer for End-to-End Generative Electrocardiogram Language Modeling Language models are unsupervised multitask learners, 2019

Reference 54

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verified fuzzy
raw_fallback, observed 2026-08-11T12:20:27.811015Z

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.

source=arxiv_source observed=2026-08-11T12:20:25.864833Z digest=sha256:230d09e4a018aad9a68bd2c8b0bcd5640490383ca3c9854def4ce8c115970b95

Observation 2c4d78b9-ada2-4796-80e8-2225fd6295bb · outbound

This paper cites Learning transferable visual models from natural language supervision.

ECG-Byte: A Tokenizer for End-to-End Generative Electrocardiogram Language Modeling Learning transferable visual models from natural language supervision

Reference 55

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source=arxiv_source observed=2026-08-11T12:20:25.871168Z digest=sha256:184004ec49f800ce663196d5e464435ba311a1b6c207590661b78126c60fce02

Observation 7bcd3a22-bbd8-4a7c-95f8-348cd61c9192 · outbound

This paper cites Cardiologist-Level Arrhythmia Detection with Convolutional Neural Networks.

ECG-Byte: A Tokenizer for End-to-End Generative Electrocardiogram Language Modeling Cardiologist-Level Arrhythmia Detection with Convolutional Neural Networks

Reference 56

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source=arxiv_source observed=2026-08-11T12:20:25.876349Z digest=sha256:bb68f0f1f01c47be7b604b3fc4e7a54375b484bf069203fe4f22bb4e1dfb3d10

Observation 18a76a1e-2a56-4670-b808-f6687bb280f7 · outbound

This paper cites "Why Should I Trust You?": Explaining the Predictions of Any Classifier.

ECG-Byte: A Tokenizer for End-to-End Generative Electrocardiogram Language Modeling "Why Should I Trust You?": Explaining the Predictions of Any Classifier

Reference 57

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source=arxiv_source observed=2026-08-11T12:20:25.881777Z digest=sha256:1ed6200f3c0dd9d977a614c3b19a8eeb2c87d70001c540160c74e4236132cbb0

Observation c5f3940c-07d8-43a5-8fd6-2a1ba69b8978 · outbound

This paper cites Rousseeuw.

ECG-Byte: A Tokenizer for End-to-End Generative Electrocardiogram Language Modeling Rousseeuw

Reference 58

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source=arxiv_source observed=2026-08-11T12:20:25.890781Z digest=sha256:8c6dcc616a5317e82b378deef33b65fdc0dce65ef9497f2e5622dbc9faea8039

Observation 463c8246-8b42-425b-81c1-ff38f2f7b540 · outbound

This paper cites Neural Machine Translation of Rare Words with Subword Units.

ECG-Byte: A Tokenizer for End-to-End Generative Electrocardiogram Language Modeling Neural Machine Translation of Rare Words with Subword Units

Reference 59

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no resolver link, observed 2026-08-11T12:20:25.896278Z

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source=arxiv_source observed=2026-08-11T12:20:25.896278Z digest=sha256:a39d917b61e6eb33b54e8be83c515ad5956b44c6f361903edc23962777b4e7a7

Observation 4a80403c-81fb-4b41-be31-d39386da167c · outbound

This paper cites GraphBPE: Molecular Graphs Meet Byte-Pair Encoding.

ECG-Byte: A Tokenizer for End-to-End Generative Electrocardiogram Language Modeling GraphBPE: Molecular Graphs Meet Byte-Pair Encoding

Reference 60

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no resolver link, observed 2026-08-11T12:20:25.904821Z

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source=arxiv_source observed=2026-08-11T12:20:25.904821Z digest=sha256:7aca9bc5b764a9bb1a14573366769b2023610ec3d7f2a3477a72908ff9b1e7a5

Observation 519e3405-7331-4711-9b37-b1c404c52fd3 · outbound

This paper cites Assessing the impact of downsampled ecgs and alternative loss functions in multi-label classification of 12-lead ecgs.

ECG-Byte: A Tokenizer for End-to-End Generative Electrocardiogram Language Modeling Assessing the impact of downsampled ecgs and alternative loss functions in multi-label classification of 12-lead ecgs

Reference 61

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verified exact
doi, observed 2026-08-11T12:20:26.110870Z

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.

source=arxiv_source observed=2026-08-11T12:20:25.910466Z digest=sha256:5c686fe8e4367cfd2698c101dbb6f706114ec72c841c7796803a6e615b9caab4

Observation 9405206a-f245-4f49-b7e7-a2404d3900a5 · outbound

This paper cites Deep learning for ecg analysis: Benchmarks and insights from ptb-xl.

ECG-Byte: A Tokenizer for End-to-End Generative Electrocardiogram Language Modeling Deep learning for ecg analysis: Benchmarks and insights from ptb-xl

Reference 62

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T12:20:25.915532Z digest=sha256:07c7b71cbb6ba8f459367c2dd7d86308b8935d0c026a7dc013aea90152d1cbf0

Observation 90f8f0a8-4c5e-4778-84ad-24e44413ea00 · outbound

This paper cites Axiomatic Attribution for Deep Networks.

ECG-Byte: A Tokenizer for End-to-End Generative Electrocardiogram Language Modeling Axiomatic Attribution for Deep Networks

Reference 63

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no resolver link, observed 2026-08-11T12:20:25.920719Z

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source=arxiv_source observed=2026-08-11T12:20:25.920719Z digest=sha256:fb59a6d11afccc171845a91cfdd541e9d0fb31d07492abd2d031c9c471e9de86

Observation cbf7c1b7-2b71-45ca-9277-07ad9c8f0290 · outbound

This paper cites HeartBERT: A Self-Supervised ECG Embedding Model for Efficient and Effective Medical Signal Analysis.

ECG-Byte: A Tokenizer for End-to-End Generative Electrocardiogram Language Modeling HeartBERT: A Self-Supervised ECG Embedding Model for Efficient and Effective Medical Signal Analysis

Reference 64

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no resolver link, observed 2026-08-11T12:20:25.926220Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T12:20:25.926220Z digest=sha256:a9ac4aca8ca17f1b6cc84b44c24929cd3f7f0c4f0583c131d7e92412fa2abe50

Observation 9f0d7c90-a191-4e90-9ae1-b835f1e7e147 · outbound

This paper cites Electrocardiogram-Language Model for Few-Shot Question Answering with Meta Learning.

ECG-Byte: A Tokenizer for End-to-End Generative Electrocardiogram Language Modeling Electrocardiogram-Language Model for Few-Shot Question Answering with Meta Learning

Reference 65

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source=arxiv_source observed=2026-08-11T12:20:25.931457Z digest=sha256:aa39db586152645d3d5c5cd1246e8bbdde0bff4c891a1523f2d55294d1201c33

Observation cd71d13d-507b-4903-9f39-9557fa55db9b · outbound

This paper cites Electrocardiogram Report Generation and Question Answering via Retrieval-Augmented Self-Supervised Modeling.

ECG-Byte: A Tokenizer for End-to-End Generative Electrocardiogram Language Modeling Electrocardiogram Report Generation and Question Answering via Retrieval-Augmented Self-Supervised Modeling

Reference 66

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T12:20:25.936764Z digest=sha256:f8bb425bb104aa40afc7803bd8ca7a4f3a2f8493f1bea545cb9d8e256bdb7981

Observation 8db4da0d-2c8c-4018-a766-ab556d2682ba · outbound

This paper cites Pattern Discovery in Time Series with Byte Pair Encoding.

ECG-Byte: A Tokenizer for End-to-End Generative Electrocardiogram Language Modeling Pattern Discovery in Time Series with Byte Pair Encoding

Reference 67

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verified exact
local_arxiv, observed 2026-08-11T12:20:26.583738Z

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.

source=arxiv_source observed=2026-08-11T12:20:25.941782Z digest=sha256:de1fd5b538c0dd9e9572f9373c29e212b59315f67d7abb521cd161fbbee738f7

Observation 73ced45b-9052-48c6-9072-669710260e5d · outbound

This paper cites Gemma 2: Improving Open Language Models at a Practical Size.

ECG-Byte: A Tokenizer for End-to-End Generative Electrocardiogram Language Modeling Gemma 2: Improving Open Language Models at a Practical Size

Reference 68

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no resolver link, observed 2026-08-11T12:20:25.947361Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T12:20:25.947361Z digest=sha256:b2b8554e1615275bb9fb67c4fba0d620072076106492d750df22a5c49eacc214

Observation fce901f9-d895-4a16-b341-3ad519bb0a70 · outbound

This paper cites Heartbeit: Vision transformer for electrocardiogram data improves diagnostic performance at low sample sizes, 2022.

ECG-Byte: A Tokenizer for End-to-End Generative Electrocardiogram Language Modeling Heartbeit: Vision transformer for electrocardiogram data improves diagnostic performance at low sample sizes, 2022

Reference 69

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T12:20:25.953400Z digest=sha256:c71ce34464451728376064d0a1d797f57c445d727becfdb8aec0f978d8a6f3b0

Observation 4d3d1a77-c044-4828-8be4-56218ec71901 · outbound

This paper cites Gomez, Lukasz Kaiser, and Illia Polosukhin.

ECG-Byte: A Tokenizer for End-to-End Generative Electrocardiogram Language Modeling Gomez, Lukasz Kaiser, and Illia Polosukhin

Reference 70

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T12:20:25.958808Z digest=sha256:da4d562f6ba88a191998d14eafbb1e70bd0f2ee2ca4bbb27359328eb12a279a8

Observation 89ae6e6f-4a26-467a-802a-b2794b132bf3 · outbound

This paper cites Lunze, Wojciech Samek, and Tobias Schaeffter.

ECG-Byte: A Tokenizer for End-to-End Generative Electrocardiogram Language Modeling Lunze, Wojciech Samek, and Tobias Schaeffter

Reference 71

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no resolver link, observed 2026-08-11T12:20:25.965595Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T12:20:25.965595Z digest=sha256:46e0fa1ebbb005d2a0e3d1b4c3b9732c541a93cdb9f3c9506eafed2c0c9753c1

Observation f16b4ca6-465d-4e3f-80c6-58f334a2e94c · outbound

This paper cites MEIT: Multimodal Electrocardiogram Instruction Tuning on Large Language Models for Report Generation.

ECG-Byte: A Tokenizer for End-to-End Generative Electrocardiogram Language Modeling MEIT: Multimodal Electrocardiogram Instruction Tuning on Large Language Models for Report Generation

Reference 72

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T12:20:25.971430Z digest=sha256:d6db1295e9a499b659feccc8b331d5d298a887ec8f74a74fa1f0e61ff3e1f461

Observation 79bd6e03-d242-4263-b2a6-81b8adf346bb · outbound

This paper cites Vision as LoRA.

ECG-Byte: A Tokenizer for End-to-End Generative Electrocardiogram Language Modeling Vision as LoRA

Reference 73

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no resolver link, observed 2026-08-11T12:20:25.977952Z

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Unavailable: canonical work link unavailable.

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This paper cites Attention is not not explanation, 2019.

ECG-Byte: A Tokenizer for End-to-End Generative Electrocardiogram Language Modeling Attention is not not explanation, 2019

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This paper cites Principal component analysis.

ECG-Byte: A Tokenizer for End-to-End Generative Electrocardiogram Language Modeling Principal component analysis

Reference 75

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ECG-Byte: A Tokenizer for End-to-End Generative Electrocardiogram Language Modeling Unresolved cited work

Reference 76

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This paper cites Don't Miss the Forest for the Trees: Attentional Vision Calibration for Large Vision Language Models.

ECG-Byte: A Tokenizer for End-to-End Generative Electrocardiogram Language Modeling Don't Miss the Forest for the Trees: Attentional Vision Calibration for Large Vision Language Models

Reference 77

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This paper cites Masked autoencoder for ecg representation learning.

ECG-Byte: A Tokenizer for End-to-End Generative Electrocardiogram Language Modeling Masked autoencoder for ecg representation learning

Reference 78

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ECG-Byte: A Tokenizer for End-to-End Generative Electrocardiogram Language Modeling k-labelsets method for multi-label ecg signal classification based on se-resnet

Reference 79

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This paper cites OPT: Open Pre-trained Transformer Language Models.

ECG-Byte: A Tokenizer for End-to-End Generative Electrocardiogram Language Modeling OPT: Open Pre-trained Transformer Language Models

Reference 80

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ECG-Byte: A Tokenizer for End-to-End Generative Electrocardiogram Language Modeling BERTScore: Evaluating Text Generation with BERT

Reference 81

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Observation c50cbb69-09da-4b71-bafe-f5d6928b6cbe · outbound

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

ECG-Byte: A Tokenizer for End-to-End Generative Electrocardiogram Language Modeling ECG-Chat: A Large ECG-Language Model for Cardiac Disease Diagnosis

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Pith citing papers

Observation 5bd3f457-ba4f-4686-b92a-5c34d1ba9734 · inbound

Signal, Image, or Symbolic: Exploring the Best Input Representation for Electrocardiogram-Language Models Through a Unified Framework cites this paper.

Signal, Image, or Symbolic: Exploring the Best Input Representation for Electrocardiogram-Language Models Through a Unified Framework ECG-Byte: A Tokenizer for End-to-End Generative Electrocardiogram Language Modeling

Reference 13

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Observation 040a0b35-e84c-4a4b-ab54-96ece78925f5 · inbound

Information-theoretic Multimodal Representation Learning for Electrocardiogram Signals cites this paper.

Information-theoretic Multimodal Representation Learning for Electrocardiogram Signals ECG-Byte: A Tokenizer for End-to-End Generative Electrocardiogram Language Modeling

Reference 40

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