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Paper Citation Record · LEDGER

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

As of 9 August 2026, this Paper Citation Record lists 64 of 64 outbound references and 1 inbound Pith citation observation for arXiv:2505.18847.

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

pith.paper-citation-record.v1
2505.18847 v1

Coverage vector

measured 64 of 64 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:27:17.758470Z

measured 65 of 65 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T12:44:55.338961Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

64 of 64 outbound references displayed

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  • verified fuzzy14
  • unresolved37
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 212d2261-3633-4cf1-a74f-3c27f8fea54e · outbound

This paper cites The complexities of physician supply and demand: Projections from 2021 to 2036, 03 2024.

Signal, Image, or Symbolic: Exploring the Best Input Representation for Electrocardiogram-Language Models Through a Unified Framework The complexities of physician supply and demand: Projections from 2021 to 2036, 03 2024

Reference 1

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Source-reported events for the cited work

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Observation d9ab96fe-7271-4ea4-ace5-9336232474c6 · outbound

This paper cites A brief review: history to understand fundamentals of electrocardiography.

Signal, Image, or Symbolic: Exploring the Best Input Representation for Electrocardiogram-Language Models Through a Unified Framework A brief review: history to understand fundamentals of electrocardiography

Reference 2

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verified exact
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Observation 63e84086-0153-4415-bc15-78ff6da034b7 · outbound

This paper cites Classification of 12-lead ecgs: The physionet/computing in cardiology challenge 2020, 07 2022.

Signal, Image, or Symbolic: Exploring the Best Input Representation for Electrocardiogram-Language Models Through a Unified Framework Classification of 12-lead ecgs: The physionet/computing in cardiology challenge 2020, 07 2022

Reference 3

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Observation 2b79888d-f8ea-44b8-85dc-47cdba0f3ffe · outbound

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

Signal, Image, or Symbolic: Exploring the Best Input Representation for Electrocardiogram-Language Models Through a Unified Framework Meteor: An automatic metric for mt evaluation with improved correlation with human judgments

Reference 4

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation db2b82bc-d400-45dd-a059-b0982aaae2e8 · outbound

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

Signal, Image, or Symbolic: Exploring the Best Input Representation for Electrocardiogram-Language Models Through a Unified Framework Llm-abba: Understand time series via symbolic approximation, 2024 a

Reference 5

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 477569cc-e5a5-4c5f-adda-e452ded7e3dd · outbound

This paper cites Quantized symbolic time series approximation.

Signal, Image, or Symbolic: Exploring the Best Input Representation for Electrocardiogram-Language Models Through a Unified Framework Quantized symbolic time series approximation

Reference 6

Resolution
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Source-reported events for the cited work

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Observation 91ab1e88-ba36-4076-a110-d95180b7307c · outbound

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

Signal, Image, or Symbolic: Exploring the Best Input Representation for Electrocardiogram-Language Models Through a Unified Framework Yhdego, Fatemeh Khadem, and Fatemeh Afghah

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 3e58c318-1dba-477d-94bf-7ac6a71e8813 · outbound

This paper cites FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning.

Signal, Image, or Symbolic: Exploring the Best Input Representation for Electrocardiogram-Language Models Through a Unified Framework FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 86445e86-d029-42c9-96f7-e59dccf5b578 · outbound

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

Signal, Image, or Symbolic: Exploring the Best Input Representation for Electrocardiogram-Language Models Through a Unified Framework An image is worth 16x16 words: Transformers for image recognition at scale, 2021

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 557a3b9c-f106-4a93-8881-baa023801c61 · outbound

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

Signal, Image, or Symbolic: Exploring the Best Input Representation for Electrocardiogram-Language Models Through a Unified Framework ABBA: Adaptive Brownian bridge-based symbolic aggregation of time series

Reference 10

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Source-reported events for the cited work

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Observation c6810bc7-8ec1-44e7-8448-558191a4723b · outbound

This paper cites A new algorithm for data compression.

Signal, Image, or Symbolic: Exploring the Best Input Representation for Electrocardiogram-Language Models Through a Unified Framework A new algorithm for data compression

Reference 11

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verified fuzzy
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Source-reported events for the cited work

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Observation c22e4d76-2075-4e09-bb7b-0f3f3e456802 · outbound

This paper cites The Llama 3 Herd of Models.

Signal, Image, or Symbolic: Exploring the Best Input Representation for Electrocardiogram-Language Models Through a Unified Framework The Llama 3 Herd of Models

Reference 12

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Source-reported events for the cited work

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

This paper cites ECG-Byte: A Tokenizer for End-to-End Generative Electrocardiogram Language Modeling.

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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Unavailable: canonical work link unavailable.

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Observation a5a7208f-5a0d-4a09-8e2d-5ff0336fc0e0 · outbound

This paper cites Interpretation of Intracardiac Electrograms Through Textual Representations.

Signal, Image, or Symbolic: Exploring the Best Input Representation for Electrocardiogram-Language Models Through a Unified Framework Interpretation of Intracardiac Electrograms Through Textual Representations

Reference 14

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Source-reported events for the cited work

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Observation 4a646a3e-34cb-45f8-a0cc-2c03d2566382 · outbound

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

Signal, Image, or Symbolic: Exploring the Best Input Representation for Electrocardiogram-Language Models Through a Unified Framework Hannun, Pranav Rajpurkar, Masoumeh Haghpanahi, Geoffrey H

Reference 15

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 468157bf-f785-4254-a0d7-a2b4766feba0 · outbound

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

Signal, Image, or Symbolic: Exploring the Best Input Representation for Electrocardiogram-Language Models Through a Unified Framework LoRA: Low-Rank Adaptation of Large Language Models

Reference 16

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Observation 24182e24-02c9-4a57-bd64-4a975681d50f · outbound

This paper cites Reading Your Heart: Learning ECG Words and Sentences via Pre-training ECG Language Model.

Signal, Image, or Symbolic: Exploring the Best Input Representation for Electrocardiogram-Language Models Through a Unified Framework Reading Your Heart: Learning ECG Words and Sentences via Pre-training ECG Language Model

Reference 17

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Source-reported events for the cited work

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Observation e5887e88-87a5-49e2-be66-2243bce3462b · outbound

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Signal, Image, or Symbolic: Exploring the Best Input Representation for Electrocardiogram-Language Models Through a Unified Framework Unresolved cited work

Reference 18

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Source-reported events for the cited work

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Observation 6a87eba3-bea0-4a8a-b135-49f2784ead25 · outbound

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

Signal, Image, or Symbolic: Exploring the Best Input Representation for Electrocardiogram-Language Models Through a Unified Framework Counties most in need of cardiologists are the most likely to have none, 07 2024

Reference 19

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verified fuzzy
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Source-reported events for the cited work

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Observation da7ba4e6-6264-4629-b0ef-36a27df163c7 · outbound

This paper cites Scaling Laws for Neural Language Models.

Signal, Image, or Symbolic: Exploring the Best Input Representation for Electrocardiogram-Language Models Through a Unified Framework Scaling Laws for Neural Language Models

Reference 20

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 312ef8d4-183e-4089-933f-b2eb7a6cf4d9 · outbound

This paper cites Kingma and Jimmy Ba.

Signal, Image, or Symbolic: Exploring the Best Input Representation for Electrocardiogram-Language Models Through a Unified Framework Kingma and Jimmy Ba

Reference 21

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Source-reported events for the cited work

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Observation 86680bcf-8099-463e-bb56-2d578aea9ac1 · outbound

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

Signal, Image, or Symbolic: Exploring the Best Input Representation for Electrocardiogram-Language Models Through a Unified Framework CLOCS: Contrastive Learning of Cardiac Signals Across Space, Time, and Patients

Reference 22

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verified exact
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Source-reported events for the cited work

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Observation 7188a941-4048-46a3-9c42-93587647cf7f · outbound

This paper cites A simple weight decay can improve generalization.

Signal, Image, or Symbolic: Exploring the Best Input Representation for Electrocardiogram-Language Models Through a Unified Framework A simple weight decay can improve generalization

Reference 23

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verified fuzzy
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Source-reported events for the cited work

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Observation 61dc0f87-0368-4cbf-8775-66b479fda760 · outbound

This paper cites Gem: Empowering mllm for grounded ecg understanding with time series and images, 2025.

Signal, Image, or Symbolic: Exploring the Best Input Representation for Electrocardiogram-Language Models Through a Unified Framework Gem: Empowering mllm for grounded ecg understanding with time series and images, 2025

Reference 24

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 7ca8b53f-82e0-4a78-809b-3b5acf4ad5f3 · outbound

This paper cites Time Series as Images: Vision Transformer for Irregularly Sampled Time Series.

Signal, Image, or Symbolic: Exploring the Best Input Representation for Electrocardiogram-Language Models Through a Unified Framework Time Series as Images: Vision Transformer for Irregularly Sampled Time Series

Reference 25

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 5cd563a0-ac45-485b-b142-9267f32d4ab0 · outbound

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

Signal, Image, or Symbolic: Exploring the Best Input Representation for Electrocardiogram-Language Models Through a Unified Framework Rouge: A package for automatic evaluation of summaries

Reference 26

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T14:27:15.764588Z digest=sha256:b7b5aba39ec19009ed6f8742b02b49c5a382b019f08065be593f6a5b5e119c7d

Observation d5c4dd87-85a3-40d2-8547-703078a60847 · outbound

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

Signal, Image, or Symbolic: Exploring the Best Input Representation for Electrocardiogram-Language Models Through a Unified Framework Zero-Shot ECG Classification with Multimodal Learning and Test-time Clinical Knowledge Enhancement

Reference 27

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:27:15.874731Z digest=sha256:5a9716c374680dac187a3d01252ce5866e47392d88b34def391daf3d98a02ccf

Observation 488cc4be-5c8b-410d-8485-198d643a6734 · outbound

This paper cites Visual Instruction Tuning.

Signal, Image, or Symbolic: Exploring the Best Input Representation for Electrocardiogram-Language Models Through a Unified Framework Visual Instruction Tuning

Reference 28

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:27:16.016562Z digest=sha256:c647f1626fc71370c848137456d52021a1f428728b60dbfc6e1f9e40d0368dc5

Observation 7fc79f0d-5245-4603-bfc4-6172432d9b53 · outbound

This paper cites Teach Multimodal LLMs to Comprehend Electrocardiographic Images.

Signal, Image, or Symbolic: Exploring the Best Input Representation for Electrocardiogram-Language Models Through a Unified Framework Teach Multimodal LLMs to Comprehend Electrocardiographic Images

Reference 29

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:27:16.090075Z digest=sha256:965a12da873e351f1bd2380cca48698b846d7564e7d9c2dc8d404ec9a02353b1

Observation 2f93f401-86b0-42cb-abd4-ec251dffb51c · outbound

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

Signal, Image, or Symbolic: Exploring the Best Input Representation for Electrocardiogram-Language Models Through a Unified Framework Real-time frequency-independent single-lead and single-beat myocardial infarction detection

Reference 30

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verified fuzzy
raw_fallback, observed 2026-08-07T14:27:20.312839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T14:27:16.116803Z digest=sha256:50e9cd09ba3e2343b0e8dc6e0ceae4847f983b42c7c44458fb22b5f1581fe5fe

Observation 7b7a3d7f-2cae-434b-89e8-ff06c4b6c74d · outbound

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

Signal, Image, or Symbolic: Exploring the Best Input Representation for Electrocardiogram-Language Models Through a Unified Framework Guiding Masked Representation Learning to Capture Spatio-Temporal Relationship of Electrocardiogram

Reference 31

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:27:16.160271Z digest=sha256:d352a81b5e7689915feb888dcecccbfd7f8c3d926ecf555cd50df73a7a4fc25c

Observation cf8268cc-0503-4688-a0a4-02f76cfff16c · outbound

This paper cites Harnessing Vision Models for Time Series Analysis: A Survey.

Signal, Image, or Symbolic: Exploring the Best Input Representation for Electrocardiogram-Language Models Through a Unified Framework Harnessing Vision Models for Time Series Analysis: A Survey

Reference 32

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:27:16.210358Z digest=sha256:452e580c9f1e845f96686a0bfdf127533ada2657f26471738009298739edc565

Observation e3b329e2-3992-44e3-be78-168a8cba9ad1 · outbound

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

Signal, Image, or Symbolic: Exploring the Best Input Representation for Electrocardiogram-Language Models Through a Unified Framework Electrocardiogram classification by modified efficientnet with data augmentation

Reference 33

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verified fuzzy
raw_fallback, observed 2026-08-07T14:27:20.298522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T14:27:16.252123Z digest=sha256:3ffe89062bd2dc3f9cc56d7cc3e7fe0a30b792f770efd9130e8e5922a0434714

Observation 1f7a61b0-b70e-48c3-bd32-87b67ae730ee · outbound

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

Signal, Image, or Symbolic: Exploring the Best Input Representation for Electrocardiogram-Language Models Through a Unified Framework Lead-agnostic Self-supervised Learning for Local and Global Representations of Electrocardiogram

Reference 34

Resolution
verified exact
local_arxiv, observed 2026-08-07T14:27:19.532695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T14:27:16.277634Z digest=sha256:0d11537064cdfa4137da876b107ee7cc7b2899b5ecd18eb6da0771149b2947e0

Observation 425ad789-a063-444a-9a83-45b7a33c4d4b · outbound

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

Signal, Image, or Symbolic: Exploring the Best Input Representation for Electrocardiogram-Language Models Through a Unified Framework ECG-QA: A Comprehensive Question Answering Dataset Combined With Electrocardiogram

Reference 35

Resolution
verified exact
local_arxiv, observed 2026-08-07T14:27:19.345211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T14:27:16.319445Z digest=sha256:714e3fa09fa7151e6fa4403ddba510a9dde8e9f7eed63b029731bfcb70119ae1

Observation 5586bfcf-b532-449a-b8b9-ae5fde386ecb · outbound

This paper cites Cardiovascular diseases, 2024.

Signal, Image, or Symbolic: Exploring the Best Input Representation for Electrocardiogram-Language Models Through a Unified Framework Cardiovascular diseases, 2024

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:27:20.284065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T14:27:16.380046Z digest=sha256:fe322ca578c5d39e1a65be68b95ef08ef21048c9286243e2925c0c6ec1523495

Observation 856274f2-98d2-4237-90cf-c314d2729c1d · outbound

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

Signal, Image, or Symbolic: Exploring the Best Input Representation for Electrocardiogram-Language Models Through a Unified Framework Bleu: a method for automatic evaluation of machine translation

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-07T14:27:16.421294Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:27:16.421294Z digest=sha256:4d1e97ae420431dadabca352f9a954dd402e4c6ebd5328ed4da99297c83817f5

Observation 71d1ecf8-254c-4ca7-bf19-a79348cc3f3a · outbound

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

Signal, Image, or Symbolic: Exploring the Best Input Representation for Electrocardiogram-Language Models Through a Unified Framework Boosting Masked ECG-Text Auto-Encoders as Discriminative Learners

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-07T14:27:16.460475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:27:16.460475Z digest=sha256:fc6cead6194ca2bbd138641b5632dc2b609346f15e7d406fec9f6b26ad5022ef

Observation d6bcdd17-d732-46a0-808c-9c25ea996e92 · outbound

This paper cites an unresolved cited work.

Signal, Image, or Symbolic: Exploring the Best Input Representation for Electrocardiogram-Language Models Through a Unified Framework Unresolved cited work

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-07T14:27:16.503777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:27:16.503777Z digest=sha256:d2d7ad62070bfcc76b94786d4b9e91404881190dadf4afe16582ce01384722f5

Observation c0b1643f-42a3-4bd2-bbe5-e29d7f7db5d8 · outbound

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

Signal, Image, or Symbolic: Exploring the Best Input Representation for Electrocardiogram-Language Models Through a Unified Framework Rosenberg, Emerson Liu, Douglas Weber, and Ding Zhao

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:27:20.259994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T14:27:16.552559Z digest=sha256:a8548d6160bf26506feeb2ff942e65d40db83cc599b13a9838728b9094899036

Observation b9d90865-a356-4718-99e5-1104c373bb3e · outbound

This paper cites Qwen2.5 Technical Report.

Signal, Image, or Symbolic: Exploring the Best Input Representation for Electrocardiogram-Language Models Through a Unified Framework Qwen2.5 Technical Report

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-07T14:27:16.606851Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:27:16.606851Z digest=sha256:286ae95f7e96a05c5360dcd9e723074f77d76ac1bb7ac159979c14c6f008bfc2

Observation aacb05c4-5bce-41ce-a2e5-b1764851e143 · outbound

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

Signal, Image, or Symbolic: Exploring the Best Input Representation for Electrocardiogram-Language Models Through a Unified Framework Learning transferable visual models from natural language supervision

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-07T14:27:16.664878Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:27:16.664878Z digest=sha256:609031cc01170e7d4ce35abb4ff95785785892f50886793e9dcfafd99ffff7de

Observation e702db87-bb9e-4f80-8c4f-462e59a5e46d · outbound

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

Signal, Image, or Symbolic: Exploring the Best Input Representation for Electrocardiogram-Language Models Through a Unified Framework Cardiologist-Level Arrhythmia Detection with Convolutional Neural Networks

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-07T14:27:16.719174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:27:16.719174Z digest=sha256:85ec59cc74f8831f078dca455f591fc75301aec7aeaba79a7258a93372f1a971

Observation 981976fd-590c-429c-8fad-b45d31077784 · outbound

This paper cites Ribeiro, Gabriela M.M.

Signal, Image, or Symbolic: Exploring the Best Input Representation for Electrocardiogram-Language Models Through a Unified Framework Ribeiro, Gabriela M.M

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-07T14:27:16.756603Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:27:16.756603Z digest=sha256:e925db63fd4964015a9555094471f2ad6f085d79c7f59df1e23e72c4e3de17a6

Observation c1aeb8b7-c109-4849-8083-b7c3bc62eb7a · outbound

This paper cites Mortazavi, Adrian D.

Signal, Image, or Symbolic: Exploring the Best Input Representation for Electrocardiogram-Language Models Through a Unified Framework Mortazavi, Adrian D

Reference 45

Resolution
verified exact
doi, observed 2026-08-07T14:27:18.122259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T14:27:16.802569Z digest=sha256:364006e4886aeded2bc38eb9318a18c337e74b23da8abcc155d832e40cf6df5d

Observation 5c0bfd4c-49f0-4f45-bf1b-ccd3bea82ae1 · outbound

This paper cites Image-based time series forecasting: A deep convolutional neural network approach.

Signal, Image, or Symbolic: Exploring the Best Input Representation for Electrocardiogram-Language Models Through a Unified Framework Image-based time series forecasting: A deep convolutional neural network approach

Reference 46

Resolution
verified exact
doi, observed 2026-08-07T14:27:17.938343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T14:27:16.841490Z digest=sha256:32d0b50fa2eb22e4b42a415438c8b240ed2e29c52ec5724043bbf369ce8515c0

Observation b2449bc5-562a-430b-9849-78c7f5c5b03d · outbound

This paper cites ECG-Image-Kit: A Synthetic Image Generation Toolbox to Facilitate Deep Learning-Based Electrocardiogram Digitization.

Signal, Image, or Symbolic: Exploring the Best Input Representation for Electrocardiogram-Language Models Through a Unified Framework ECG-Image-Kit: A Synthetic Image Generation Toolbox to Facilitate Deep Learning-Based Electrocardiogram Digitization

Reference 47

Resolution
verified exact
local_arxiv, observed 2026-08-07T14:27:19.084520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T14:27:16.888701Z digest=sha256:92e31abda7e949a90d2e18e5d0d491fc44e354c12391c3ff3bfc5fb4156cda02

Observation 899e1255-e709-4851-b5d4-3613219803b3 · outbound

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

Signal, Image, or Symbolic: Exploring the Best Input Representation for Electrocardiogram-Language Models Through a Unified Framework Deep learning for ecg analysis: Benchmarks and insights from ptb-xl

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:27:20.235172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T14:27:16.937633Z digest=sha256:7b7a16e2b0719595a5d1c79bde67fe9178f194f3ec1ba0faf978fef3b5e50083

Observation d80fc562-8a5c-4ee7-bb98-1249372a17a7 · outbound

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

Signal, Image, or Symbolic: Exploring the Best Input Representation for Electrocardiogram-Language Models Through a Unified Framework HeartBERT: A Self-Supervised ECG Embedding Model for Efficient and Effective Medical Signal Analysis

Reference 49

Resolution
verified exact
local_arxiv, observed 2026-08-07T14:27:18.907229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T14:27:16.976948Z digest=sha256:3edf86233d721a213706b248cb086d096136b43303bca7dceea5c60505b29ce0

Observation 5994817c-556c-4e59-9af9-1d5fc63bca13 · outbound

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

Signal, Image, or Symbolic: Exploring the Best Input Representation for Electrocardiogram-Language Models Through a Unified Framework Electrocardiogram-Language Model for Few-Shot Question Answering with Meta Learning

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-07T14:27:17.032181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:27:17.032181Z digest=sha256:447e4f30bd0f678ad6cd10a181df751b83af4c21c9962950f3a85c5604339039

Observation 74cd79f4-6e16-4e27-98f0-e4a904f5b64b · outbound

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

Signal, Image, or Symbolic: Exploring the Best Input Representation for Electrocardiogram-Language Models Through a Unified Framework Electrocardiogram Report Generation and Question Answering via Retrieval-Augmented Self-Supervised Modeling

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-07T14:27:17.087464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:27:17.087464Z digest=sha256:9f8807e4f1a0c187748f49767b22870b2fd900ba3ab69f6015bd9efa62bf1122

Observation 961b959b-2f27-4f01-9aaf-6f76fbb6283d · outbound

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

Signal, Image, or Symbolic: Exploring the Best Input Representation for Electrocardiogram-Language Models Through a Unified Framework Gemma 2: Improving Open Language Models at a Practical Size

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-07T14:27:17.147110Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:27:17.147110Z digest=sha256:f4f83311b02acb4a5ae3f5fb53559bf5c29721bddb0094167d8dceb45645a7d8

Observation fa8d9a44-01f9-4c82-a1c7-196ee7b0e065 · outbound

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

Signal, Image, or Symbolic: Exploring the Best Input Representation for Electrocardiogram-Language Models Through a Unified Framework Heartbeit: Vision transformer for electrocardiogram data improves diagnostic performance at low sample sizes, 2022

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:27:20.218987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T14:27:17.199068Z digest=sha256:c47333f0dabf88e5a18ce13507d577f4b0bb87463d32c4c4169bddadca13346c

Observation e091550e-dd75-4e69-bd75-553681a6f0dc · outbound

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

Signal, Image, or Symbolic: Exploring the Best Input Representation for Electrocardiogram-Language Models Through a Unified Framework Gomez, Lukasz Kaiser, and Illia Polosukhin

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-07T14:27:17.224868Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:27:17.224868Z digest=sha256:a6400c4c317611050636531b5ded920b5d8a2e810108ab674a182e63d02b0ad6

Observation 1ef24b06-9b4a-4b26-9ce0-a2d777dc7206 · outbound

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

Signal, Image, or Symbolic: Exploring the Best Input Representation for Electrocardiogram-Language Models Through a Unified Framework Lunze, Wojciech Samek, and Tobias Schaeffter

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-07T14:27:17.275996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:27:17.275996Z digest=sha256:b89f0985e35f426ac74cff20b0eee66b83f9335e4c2b85c98c50a2a54bdad9f2

Observation ff66dc9e-dd2c-4cee-a1c0-f5d019e73b49 · outbound

This paper cites an unresolved cited work.

Signal, Image, or Symbolic: Exploring the Best Input Representation for Electrocardiogram-Language Models Through a Unified Framework Unresolved cited work

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-07T14:27:17.319818Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:27:17.319818Z digest=sha256:b2794da7727639093d144c75d0f10d12238faba60a8caf40a2be665dc4fdca29

Observation c38d68a9-0103-4f18-9fc3-c4372084196e · outbound

This paper cites Routine electrocardiogram screening and cardiovascular disease events in adults.

Signal, Image, or Symbolic: Exploring the Best Input Representation for Electrocardiogram-Language Models Through a Unified Framework Routine electrocardiogram screening and cardiovascular disease events in adults

Reference 57

Resolution
verified exact
raw_fallback, observed 2026-08-07T14:27:18.716310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T14:27:17.371780Z digest=sha256:b3cd7283fd2615093b90db2975c8ac4dd5443a9ac89367be6ca005b73ac33e48

Observation 1070e08c-2266-4250-a3c9-dc5120b19022 · outbound

This paper cites Sigmoid Loss for Language Image Pre-Training.

Signal, Image, or Symbolic: Exploring the Best Input Representation for Electrocardiogram-Language Models Through a Unified Framework Sigmoid Loss for Language Image Pre-Training

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-07T14:27:17.423758Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:27:17.423758Z digest=sha256:de8fb8558412f05d98845613b27970a5d1386f642a9996a45774a31c4035dfbe

Observation 049af18a-c409-4ea4-810b-7fb38831f457 · outbound

This paper cites Maefe: Masked autoencoders family of electrocardiogram for self-supervised pretraining and transfer learning.

Signal, Image, or Symbolic: Exploring the Best Input Representation for Electrocardiogram-Language Models Through a Unified Framework Maefe: Masked autoencoders family of electrocardiogram for self-supervised pretraining and transfer learning

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-07T14:27:17.476512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:27:17.476512Z digest=sha256:d7c4610aa810f91fa4f3f5eb24ba2a79ff1ede755a9b0342edd69409d1865155

Observation d41704b9-5cf6-442f-a7af-d419b65370cc · outbound

This paper cites BERTScore: Evaluating Text Generation with BERT.

Signal, Image, or Symbolic: Exploring the Best Input Representation for Electrocardiogram-Language Models Through a Unified Framework BERTScore: Evaluating Text Generation with BERT

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-07T14:27:17.516583Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:27:17.516583Z digest=sha256:e20e20bd6ccdb49dd27da6862455fd9466d5c9f53001030d9fc1fd987d8e019d

Observation 8942c84c-f456-44c2-90a7-30903e261426 · outbound

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

Signal, Image, or Symbolic: Exploring the Best Input Representation for Electrocardiogram-Language Models Through a Unified Framework ECG-Chat: A Large ECG-Language Model for Cardiac Disease Diagnosis

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-07T14:27:17.600151Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:27:17.600151Z digest=sha256:c9e5f5083e55d9767f6ad70ee3f34cc61830fb5b653861c5ddd24c223f1509cc

Observation b7a1cd14-dee7-4f98-8a8e-27e2961c45fd · outbound

This paper cites A 12-lead electrocardiogram database for arrhythmia research covering more than 10,000 patients.

Signal, Image, or Symbolic: Exploring the Best Input Representation for Electrocardiogram-Language Models Through a Unified Framework A 12-lead electrocardiogram database for arrhythmia research covering more than 10,000 patients

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-07T14:27:17.663497Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:27:17.663497Z digest=sha256:4fa64d8fd4e8781469b98d1459010c241438691cd065a3e68ac3b5be8aaf5eab

Observation 5c8f6ebb-54f3-4e32-8df6-1f226a754d4b · outbound

This paper cites P Xing, Hao Zhang, Joseph E.

Signal, Image, or Symbolic: Exploring the Best Input Representation for Electrocardiogram-Language Models Through a Unified Framework P Xing, Hao Zhang, Joseph E

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-07T14:27:17.718143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:27:17.718143Z digest=sha256:47ea530b514ac8f844e9cfcb044660354bc47a7be63646d45ab672b9a6c51e5c

Observation eca5c8ab-4fb8-404a-aec2-81a973d64ec0 · outbound

This paper cites See it, Think it, Sorted: Large Multimodal Models are Few-shot Time Series Anomaly Analyzers.

Signal, Image, or Symbolic: Exploring the Best Input Representation for Electrocardiogram-Language Models Through a Unified Framework See it, Think it, Sorted: Large Multimodal Models are Few-shot Time Series Anomaly Analyzers

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-07T14:27:17.758470Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:27:17.758470Z digest=sha256:95db3fe9ff96c7ed59f14a907ae01930dc92a1018f8fb6d6fe150b7527bc59d5

Pith citing papers

Observation b06c80f1-1c02-48ed-ae71-0b4bec1ff1e3 · inbound

ELF: A Family of Encoder-Free ECG-Language Models cites this paper.

ELF: A Family of Encoder-Free ECG-Language Models Signal, Image, or Symbolic: Exploring the Best Input Representation for Electrocardiogram-Language Models Through a Unified Framework

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-03T12:44:55.338961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:44:55.338961Z digest=sha256:7a14ade4909567da985ac38b3a0fbd66900261632b35ffdb6f2f21da980ed585