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Paper Citation Record · LEDGER

Event-Based Contrastive Learning for Medical Time Series

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2312.10308.

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

pith.paper-citation-record.v1
2312.10308 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T16:38:50.777451Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T09:20:47.668070Z

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 8144c33f-80da-4772-b299-d34e94fef2f6 · inbound

Pulse-PPG: An Open-Source Field-Trained PPG Foundation Model for Wearable Applications Across Lab and Field Settings cites this paper.

Pulse-PPG: An Open-Source Field-Trained PPG Foundation Model for Wearable Applications Across Lab and Field Settings Event-Based Contrastive Learning for Medical Time Series

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-09T16:38:50.777451Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T16:38:50.777451Z digest=sha256:5f777f91f2d98cb291a9281b1c3c6d5feb999d51edb3066dca938a1a82cdd860

Observation 3030c4ba-f212-4aa5-9a87-1b48ff13f235 · inbound

FoMoH: A clinically meaningful foundation model evaluation for structured electronic health records cites this paper.

FoMoH: A clinically meaningful foundation model evaluation for structured electronic health records Event-Based Contrastive Learning for Medical Time Series

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-07T14:55:33.957870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:55:33.957870Z digest=sha256:8a999ce8ec90e961ebe31f10d0ff8423abc56274f9499481ad6203ff6105fa4a

Observation 977850bc-435e-4b2b-8fe8-6cd50982c30a · inbound

NEST: Nested Event Stream Transformer for Sequences of Multisets cites this paper.

NEST: Nested Event Stream Transformer for Sequences of Multisets Event-Based Contrastive Learning for Medical Time Series

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-16T09:20:47.669891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-16T09:20:04.153122Z digest=sha256:dc42276c9060ff5a35fe7ebf328012ed8e61f69d762c0fa5b1f7fde58ebbe8f3

Observation 395ecb24-6230-4c8f-b603-c5e03242d3b0 · inbound

LLM4EHR: Aligning Clinical Time Series with Medical Event Sequences via Large Language Models cites this paper.

LLM4EHR: Aligning Clinical Time Series with Medical Event Sequences via Large Language Models Event-Based Contrastive Learning for Medical Time Series

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-01T23:23:29.505959Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T23:23:29.505959Z digest=sha256:8c2725b57e24e99ee4507d7436ee3ef062bda3733895dd177dc97c1c11cc916f