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Paper Citation Record · LEDGER

Parametric Augmentation for Time Series Contrastive Learning

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2402.10434.

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

pith.paper-citation-record.v1
2402.10434 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T05:29:53.628923Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T12:30:23.767421Z

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 93e36ed9-7deb-4853-b979-4f850d6f00e2 · inbound

PLanTS: Periodicity-aware Latent-state Representation Learning for Multivariate Time Series cites this paper.

PLanTS: Periodicity-aware Latent-state Representation Learning for Multivariate Time Series Parametric Augmentation for Time Series Contrastive Learning

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-05T05:29:53.628923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:29:53.628923Z digest=sha256:674e55ac8c1e317aa5361cc960c9ffd1fe0fca38f53397079fb1ac420e26e45c

Observation 7cb3167c-f44f-49fb-aa12-ab5c406e26b8 · inbound

CSRA: Controlled Spectral Residual Augmentation for Robust Sepsis Prediction cites this paper.

CSRA: Controlled Spectral Residual Augmentation for Robust Sepsis Prediction Parametric Augmentation for Time Series Contrastive Learning

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-10T12:30:23.769361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T12:26:56.844254Z digest=sha256:36b4c010c9541b2b25472845c61c6984d393f0a83fdd8dddc2e1cb3a86e13d73