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Paper Citation Record · LEDGER

Guidelines for Augmentation Selection in Contrastive Learning for Time Series Classification

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2407.09336.

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

pith.paper-citation-record.v1
2407.09336 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:29:47.697397Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T21:08:58.485233Z

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 e7d8f0e3-3576-4a9b-a083-3f9080c432ca · inbound

LSM-2: Learning from Incomplete Wearable Sensor Data cites this paper.

LSM-2: Learning from Incomplete Wearable Sensor Data Guidelines for Augmentation Selection in Contrastive Learning for Time Series Classification

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-07T10:29:47.697397Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:29:47.697397Z digest=sha256:7593039b4c6fa9807cf5d3dbfdbab62bd75c550ced95ec543e8dff9763f4cfd8

Observation e9a37e22-0cba-491b-8d55-dd79458ea9ca · inbound

SensorLM: Learning the Language of Wearable Sensors cites this paper.

SensorLM: Learning the Language of Wearable Sensors Guidelines for Augmentation Selection in Contrastive Learning for Time Series Classification

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T05:04:06.324107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:04:06.324107Z digest=sha256:b83b52115740a55759126d7e480a81b7389f610b955541cb149fdfedce69c587

Observation 064b7999-93ba-461f-a468-4f86f4fd3282 · inbound

Self-Supervised Dynamical System Representations for Physiological Time-Series cites this paper.

Self-Supervised Dynamical System Representations for Physiological Time-Series Guidelines for Augmentation Selection in Contrastive Learning for Time Series Classification

Reference 2009

Resolution
unresolved
no resolver link, observed 2026-08-03T19:34:04.637643Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T19:34:04.637643Z digest=sha256:7afdcf794d630b63b535da8d1d91fc4a4c8ab3ed63d5b5d10bd58c409f58a59a

Observation e5acd1e0-3a8c-44e8-aa4f-e7404f07e232 · inbound

WEQA: Wearable hEalth Question Answering with Query-Adaptive Agentic Reasoning cites this paper.

WEQA: Wearable hEalth Question Answering with Query-Adaptive Agentic Reasoning Guidelines for Augmentation Selection in Contrastive Learning for Time Series Classification

Reference 146

Resolution
verified exact
arxiv_id, observed 2026-07-03T21:08:58.486694Z

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=arxiv_source observed=2026-06-27T00:53:11.223341Z digest=sha256:968661c9bbeb2b51e7bf3d805024f5ecedc17308f5f85ca7abb78bdcdeef6175

Observation e18e489c-e686-4dd0-9ae8-2df66e961590 · inbound

LeNEPA: No-Augmentation Next-Latent Prediction for Time-Series Representation Learning cites this paper.

LeNEPA: No-Augmentation Next-Latent Prediction for Time-Series Representation Learning Guidelines for Augmentation Selection in Contrastive Learning for Time Series Classification

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-07-02T15:37:06.007597Z

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=2026-07-02T15:32:42.523362Z digest=sha256:2f7bbe9723f0bf230f6c9403c25eff5d42bbee24494d4b8d1da808376f8bf84b