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Paper Citation Record · LEDGER

ECGBERT: Understanding Hidden Language of ECGs with Self-Supervised Representation Learning

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2306.06340.

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

pith.paper-citation-record.v1
2306.06340 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T20:54:38.800687Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T17:33:16.068476Z

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 019a4426-7adb-4a4e-a09d-3c057149a196 · inbound

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

HeartBERT: A Self-Supervised ECG Embedding Model for Efficient and Effective Medical Signal Analysis ECGBERT: Understanding Hidden Language of ECGs with Self-Supervised Representation Learning

Reference 51

Resolution
verified exact
arxiv_id, observed 2026-05-23T17:33:16.071762Z

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=2026-05-23T17:30:05.698112Z digest=sha256:f95e6351b82952e0eca07cada9309444c9b8f5fb5139bd7a890a46cb6393ce6e

Observation 6ca48746-29de-4441-9d86-51a816c56e97 · inbound

Enhancing Foundation Models for Time Series Forecasting via Wavelet-based Tokenization cites this paper.

Enhancing Foundation Models for Time Series Forecasting via Wavelet-based Tokenization ECGBERT: Understanding Hidden Language of ECGs with Self-Supervised Representation Learning

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-11T20:54:38.800687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:54:38.800687Z digest=sha256:e06dfe7640a733911aa21e56fe2aa1f34d57b42a850d8db590a2fa8740263daa

Observation b2c44d1c-d89a-4cb7-8ae7-6757e0a4dddb · inbound

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

ELF: A Family of Encoder-Free ECG-Language Models ECGBERT: Understanding Hidden Language of ECGs with Self-Supervised Representation Learning

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-03T12:44:55.247053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:44:55.247053Z digest=sha256:9e672b68f7960f37330a1bc8e9c7161ac65317cedd1587b51b5cc53dbea026c2