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Paper Citation Record · LEDGER

Reading Your Heart: Learning ECG Words and Sentences via Pre-training ECG Language Model

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2502.10707.

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

pith.paper-citation-record.v1
2502.10707 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:26:07.746406Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-28T23:42:49.688208Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation ddb33337-fd24-4737-88cd-6d263863767e · inbound

ECG Identity Authentication in Open-set with Multi-model Pretraining and Self-constraint Center & Irrelevant Sample Repulsion Learning cites this paper.

ECG Identity Authentication in Open-set with Multi-model Pretraining and Self-constraint Center & Irrelevant Sample Repulsion Learning Reading Your Heart: Learning ECG Words and Sentences via Pre-training ECG Language Model

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-16T10:26:07.746406Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:26:07.746406Z digest=sha256:adb3ed88967ff2e0bcdf7a5de4d91cae198f3710ac290f7f8501874935146b95

Observation 24182e24-02c9-4a57-bd64-4a975681d50f · 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 Reading Your Heart: Learning ECG Words and Sentences via Pre-training ECG Language Model

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T14:27:14.528124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:27:14.528124Z digest=sha256:3e0f9f9753d81409ed1f39a813b3b13db07eb28a0ab9c8207ad2521056405a82

Observation 2f70c417-5c92-466c-b731-2b2ddf77774e · inbound

HeartcareGPT: A Unified Multimodal ECG Suite for Dual Signal-Image Modeling and Understanding cites this paper.

HeartcareGPT: A Unified Multimodal ECG Suite for Dual Signal-Image Modeling and Understanding Reading Your Heart: Learning ECG Words and Sentences via Pre-training ECG Language Model

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-19T10:47:15.075862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-19T10:44:01.880405Z digest=sha256:1e9fc4d524cfd7f3faaf3a458bb63849672b6b5550dd64fcf8ae275fa36c8639

Observation 20e38cff-19cf-4137-ad0d-a3ee28b9d9a3 · inbound

UniECG: Understanding and Generating ECG in One Unified Model cites this paper.

UniECG: Understanding and Generating ECG in One Unified Model Reading Your Heart: Learning ECG Words and Sentences via Pre-training ECG Language Model

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-04T15:45:10.072023Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T15:45:10.072023Z digest=sha256:44f074f1f01b767edf1655dea06161e7548523185214ba1b15c16e4ca39bb577

Observation 7ef6ec29-439d-47f7-b288-af9a13472d47 · inbound

From Muscle Bursts to Motor Intent: Self-Supervised Token Modeling for Heterogeneous EMG cites this paper.

From Muscle Bursts to Motor Intent: Self-Supervised Token Modeling for Heterogeneous EMG Reading Your Heart: Learning ECG Words and Sentences via Pre-training ECG Language Model

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-12T11:01:30.724239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-07T17:15:32.796215Z digest=sha256:948613934c16ade81b4cc8461685e8c1720c9b8d2189b5639f6e7d7b858d67cf

Observation 0ec71d50-c802-4b1c-8c96-fdeafacdda70 · inbound

From Muscle Bursts to Motor Intent: Self-Supervised Token Modeling for Heterogeneous EMG cites this paper.

From Muscle Bursts to Motor Intent: Self-Supervised Token Modeling for Heterogeneous EMG Reading Your Heart: Learning ECG Words and Sentences via Pre-training ECG Language Model

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-21T00:19:16.754146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-21T00:16:00.572880Z digest=sha256:f2ff51a751a65850f8301f4121e56608fa20d67ecb8a51103cfb2e1e82205869

Observation 293679ba-a4ac-445e-9468-64b893d13966 · inbound

How Do Electrocardiogram Models Scale? cites this paper.

How Do Electrocardiogram Models Scale? Reading Your Heart: Learning ECG Words and Sentences via Pre-training ECG Language Model

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-20T13:48:19.677359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-20T13:46:30.968131Z digest=sha256:6a6d81fd9c39c23321661a49dd39c0a13799e267ef2a9db990d4b6d6b554a6cd

Observation c2fe5309-b207-4cf9-b492-8e16a37671cd · inbound

LVCG: Learning ECG Representations in the Latent Vectorcardiogram Space cites this paper.

LVCG: Learning ECG Representations in the Latent Vectorcardiogram Space Reading Your Heart: Learning ECG Words and Sentences via Pre-training ECG Language Model

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-06-28T23:42:49.689569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-06-28T23:37:15.894948Z digest=sha256:b34aee388c2ad59400ab17f5c75eb3ef103d32edb41f9e7518ce1942902ad4d5

Observation 20e5ec0d-bfce-4533-86b4-60a9a28563be · inbound

EchoBridge: Long-Tail-Aware ECG-Echocardiography Text Alignment for Echocardiography-Derived Cardiac Findings cites this paper.

EchoBridge: Long-Tail-Aware ECG-Echocardiography Text Alignment for Echocardiography-Derived Cardiac Findings Reading Your Heart: Learning ECG Words and Sentences via Pre-training ECG Language Model

Reference 17

Resolution
unresolved
no resolver link, observed 2026-07-31T11:54:42.184585Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T11:54:42.184585Z digest=sha256:19f1d66cfaf43c37de81e52758f483044e6b605abf3abe442baebdf41c289e49

Observation b73b007d-06ce-44ab-ac28-69f771c7e9d3 · inbound

LAEF: A Lead-Agnostic ECG Foundation Model Towards Point-of-Care Diagnostics cites this paper.

LAEF: A Lead-Agnostic ECG Foundation Model Towards Point-of-Care Diagnostics Reading Your Heart: Learning ECG Words and Sentences via Pre-training ECG Language Model

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-05T14:45:50.482842Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T14:45:50.482842Z digest=sha256:5ba0c7a9ea21d937ec728ecd30a5cd5aa3e9208cea0349205dcdfb32a8658a71