Pith. sign in

Paper Citation Record · LEDGER

Frequency Adaptive Normalization For Non-stationary Time Series Forecasting

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2409.20371.

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

pith.paper-citation-record.v1
2409.20371 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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T04:36:31.595317Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T16:51:47.960547Z

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 d3ce962c-1487-4e50-90fb-122a00dfbcef · inbound

Non-stationary Diffusion For Probabilistic Time Series Forecasting cites this paper.

Non-stationary Diffusion For Probabilistic Time Series Forecasting Frequency Adaptive Normalization For Non-stationary Time Series Forecasting

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-22T16:51:47.963736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-22T16:49:45.303500Z digest=sha256:b90b41c099660fa120719781c1c7ae9133de926591456d165bda22ebe17e3844

Observation 1de9867f-7958-40fe-8fc3-d833d576b09b · inbound

ARIES: Relation Assessment and Model Recommendation for Deep Time Series Forecasting cites this paper.

ARIES: Relation Assessment and Model Recommendation for Deep Time Series Forecasting Frequency Adaptive Normalization For Non-stationary Time Series Forecasting

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-05T04:36:31.595317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T04:36:31.595317Z digest=sha256:c4e3ce5521e30a05c47807ca60c774d7f5ecb953e8ed003ace869d767b94373f