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Paper Citation Record · LEDGER

FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2205.08897.

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

pith.paper-citation-record.v1
2205.08897 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 2026-08-17T06:30:58.91139+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:10:25.798734Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T08:34:11.894277Z

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 ae19d64a-189a-42aa-a070-8a3bfbe15f00 · 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 FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-24T08:34:11.897106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-24T08:31:08.898349Z digest=sha256:4a569853dbfdf30355679832ee599d053c55416327c3d3f107a20764b630b13b

Observation bd257f81-d28b-497f-8775-615f212d6146 · inbound

Logo-LLM: Local and Global Modeling with Large Language Models for Time Series Forecasting cites this paper.

Logo-LLM: Local and Global Modeling with Large Language Models for Time Series Forecasting FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-22T15:21:45.117659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-22T15:17:13.583856Z digest=sha256:0c0efef826cb1157d6dedaaab99517c8696e08404171c0ebb2feec19ec39a0a1

Observation 63c63209-117a-4f21-b4da-0bda2b88ce97 · inbound

A Review of the Long Horizon Forecasting Problem in Time Series Analysis cites this paper.

A Review of the Long Horizon Forecasting Problem in Time Series Analysis FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-15T20:10:25.798734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:10:25.798734Z digest=sha256:723e34c6f62138e5dcce4ee4e3e8dfa8c2ca9c6cc1336809fdc747c04148ddf2