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Paper Citation Record · LEDGER

ShapeFormer: Shapelet Transformer for Multivariate Time Series Classification

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2405.14608.

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

pith.paper-citation-record.v1
2405.14608 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 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T00:37:00.766799Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T02:23:45.950051Z

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 521d295c-a4b4-4325-9fa7-1f1a91210571 · inbound

A Unified Framework for Modeling Heterogeneous Financial Data via Dual-Granularity Prompting cites this paper.

A Unified Framework for Modeling Heterogeneous Financial Data via Dual-Granularity Prompting ShapeFormer: Shapelet Transformer for Multivariate Time Series Classification

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-24T02:23:45.953115Z

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=2026-05-24T02:21:22.149668Z digest=sha256:7932f6c062e56302b44995187d2d3625cd3d31de7bc916136e407889f72dedb0

Observation 497c864f-c505-4662-9b74-4324c15f8ddf · inbound

Large Language Models are Few-shot Multivariate Time Series Classifiers cites this paper.

Large Language Models are Few-shot Multivariate Time Series Classifiers ShapeFormer: Shapelet Transformer for Multivariate Time Series Classification

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-10T00:37:00.766799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T00:37:00.766799Z digest=sha256:3e9becedc96eb546165fd2beb030ac9e3980206c2891fa764d378ab518534d73