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Paper Citation Record · LEDGER

Unsupervised Representation Learning for Time Series: A Review

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2308.01578.

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

pith.paper-citation-record.v1
2308.01578 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T01:04:03.758481Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-09T16:06:20.094894Z

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 4eff4fe6-3024-4c8f-a7ce-314b20b0e1b5 · inbound

Universal Time-Series Representation Learning: A Survey cites this paper.

Universal Time-Series Representation Learning: A Survey Unsupervised Representation Learning for Time Series: A Review

Reference 140

Resolution
verified exact
arxiv_id, observed 2026-05-24T04:28:53.235234Z

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=2026-05-24T04:26:45.527625Z digest=sha256:9eafece524a1de819e3a1d2865e0d400b8725ee2a84501e62328eebc778ba3f0

Observation 1dd21da0-bb6c-44cc-ab84-5cf330157aba · 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 Unsupervised Representation Learning for Time Series: A Review

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-09T16:38:50.869980Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T16:38:50.869980Z digest=sha256:5c28261e8bafecd23fccf20964aa6c0efc9f613ea403e97d159358f15512c011

Observation 33be62fa-5767-4a57-8b74-8bf42b2b576e · inbound

Representation Learning of Limit Order Book: A Comprehensive Study and Benchmarking cites this paper.

Representation Learning of Limit Order Book: A Comprehensive Study and Benchmarking Unsupervised Representation Learning for Time Series: A Review

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-16T01:04:03.758481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T01:04:03.758481Z digest=sha256:b47744a2ebd3d3f87785e9935ee44af7153a59b869bc733fa97afe7faad7c07e

Observation 965e8783-949a-4135-af15-7d6bec7cc0a5 · inbound

FreRA: A Frequency-Refined Augmentation for Contrastive Learning on Time Series Classification cites this paper.

FreRA: A Frequency-Refined Augmentation for Contrastive Learning on Time Series Classification Unsupervised Representation Learning for Time Series: A Review

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T12:57:59.116426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:57:59.116426Z digest=sha256:7d3c6a340a0ae4f697514f8463ad4c39772eb05337d6cf0c1fa7b55a21e2e33f

Observation fa6d3ae5-9c1f-4de3-b121-4cab615e9cfd · inbound

Modular Foundation Models for Time-Series Perception in Digital Twins cites this paper.

Modular Foundation Models for Time-Series Perception in Digital Twins Unsupervised Representation Learning for Time Series: A Review

Reference 34

Resolution
unresolved
no resolver link, observed 2026-07-12T01:22:51.284207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-12T01:22:51.284207Z digest=sha256:d6564efeb89a7785c5a52c89f7fa776c9821b4da2ecfdbbb8b17b094444b025b

Observation 10712ae0-bd4f-4723-94e7-710fe9fbc9f2 · inbound

FMMVCC: Fuzzy Mamba-based Multi-View Contrastive Clustering for Univariate Time Series cites this paper.

FMMVCC: Fuzzy Mamba-based Multi-View Contrastive Clustering for Univariate Time Series Unsupervised Representation Learning for Time Series: A Review

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-07-09T16:06:20.096134Z

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=2026-07-09T16:05:59.022664Z digest=sha256:252457d72ddef1d69457fcd7719e54697c1c67c002db182cd9b90d23c1b97f1b