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Paper Citation Record · LEDGER

A Shapelet-based Framework for Unsupervised Multivariate Time Series Representation Learning

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2305.18888.

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

pith.paper-citation-record.v1
2305.18888 v4

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 2026-08-20T06:33:59.587034+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T13:40:06.878675Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T04:28:53.366721Z

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 a2deb2dd-b628-4f5a-ad58-02cd4d261ae4 · inbound

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

Universal Time-Series Representation Learning: A Survey A Shapelet-based Framework for Unsupervised Multivariate Time Series Representation Learning

Reference 122

Resolution
verified exact
arxiv_id, observed 2026-05-24T04:28:53.372421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-24T04:26:45.527625Z digest=sha256:215088ab29d6a1973b3b7be394aacb19852e8ecfc9f3476ea583255632622620

Observation 961cbc55-1ae6-487e-8cee-efc0d8d838a6 · inbound

Content-aware Balanced Spectrum Encoding in Masked Modeling for Time Series Classification cites this paper.

Content-aware Balanced Spectrum Encoding in Masked Modeling for Time Series Classification A Shapelet-based Framework for Unsupervised Multivariate Time Series Representation Learning

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-11T13:40:06.878675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:40:06.878675Z digest=sha256:268f1807b92f1b9bd28ac390f9e8ca097c16506225262671c8370eb7d4f09753

Observation b15f6e9b-9ebf-4b28-81c3-978f01078a8f · inbound

Bridging the Gap: A Decade Review of Time-Series Clustering Methods cites this paper.

Bridging the Gap: A Decade Review of Time-Series Clustering Methods A Shapelet-based Framework for Unsupervised Multivariate Time Series Representation Learning

Reference 141

Resolution
unresolved
no resolver link, observed 2026-08-10T23:21:08.921658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:21:08.921658Z digest=sha256:53c601653524bc3caf8a33c9da3afa8cacbcdab411f062741f7a31ad2a729951