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Paper Citation Record · LEDGER

First De-Trend then Attend: Rethinking Attention for Time-Series Forecasting

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2212.08151.

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

pith.paper-citation-record.v1
2212.08151 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 2026-08-04T06:34:03.388597+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T03:59:37.550778Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T08:34:11.857841Z

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 8c026e55-3287-46a1-885e-c1e71f76371f · inbound

Revisiting Long-term Time Series Forecasting: An Investigation on Linear Mapping cites this paper.

Revisiting Long-term Time Series Forecasting: An Investigation on Linear Mapping First De-Trend then Attend: Rethinking Attention for Time-Series Forecasting

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-24T08:34:11.860064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-24T08:31:08.898349Z digest=sha256:d9d62e6d4dc8a3436276cb7d7ea823dc21c2b46ebd6fa22dee1fbd863c8b010e

Observation f9640f91-f96d-4b96-b440-23ed3e601670 · inbound

How (Not) to Hybridize Neural and Mechanistic Models for Epidemiological Forecasting cites this paper.

How (Not) to Hybridize Neural and Mechanistic Models for Epidemiological Forecasting First De-Trend then Attend: Rethinking Attention for Time-Series Forecasting

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-03T03:59:37.550778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T03:59:37.550778Z digest=sha256:83a26cd030fc4f9dfa6b94bc6625b215c4cdb341082ec7679122755bd68f3aa0