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Paper Citation Record · LEDGER

Are Self-Attentions Effective for Time Series Forecasting?

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2405.16877.

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

pith.paper-citation-record.v1
2405.16877 v3

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 2026-08-06T16:35:26.015484Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T09:59:45.743477Z

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 60533e89-7bd0-4c05-91e5-fd838c42d6e0 · inbound

The Power of Architecture: Deep Dive into Transformer Architectures for Long-Term Time Series Forecasting cites this paper.

The Power of Architecture: Deep Dive into Transformer Architectures for Long-Term Time Series Forecasting Are Self-Attentions Effective for Time Series Forecasting?

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-06T16:35:26.015484Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:35:26.015484Z digest=sha256:6ce1ec7add8010d640446437a2e6dfd1cc183942022142f1f7c6452593f04ad4

Observation 88e54d92-855d-47c4-bdf5-d64fb2a4046a · inbound

Physics-Guided Spatiotemporal State Space Modeling for Lookahead Molten Pool Segmentation in Laser Wire-Feed Welding cites this paper.

Physics-Guided Spatiotemporal State Space Modeling for Lookahead Molten Pool Segmentation in Laser Wire-Feed Welding Are Self-Attentions Effective for Time Series Forecasting?

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-07-04T09:59:45.744907Z

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=2026-06-26T09:13:51.300337Z digest=sha256:c674d1af7f6298fb164fb9f3b785aca57a838f3e40f753ccc2dd1916c185078c