Pith. sign in

Paper Citation Record · LEDGER

Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2205.14415.

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

pith.paper-citation-record.v1
2205.14415 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 2026-08-04T06:34:03.388597+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T11:15:44.597429Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T20:24:21.570171Z

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 aa572d67-3ffc-4a87-b6de-db6ba96e1ac3 · inbound

Time Series Forecasting Through the Lens of Dynamics cites this paper.

Time Series Forecasting Through the Lens of Dynamics Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-19T03:32:01.248562Z

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=arxiv_source observed=2026-05-19T03:31:48.513830Z digest=sha256:9e911e47c0ef12114d0ce1cd2a27d80ebd96f21c3db138c6cb6813c72ff187d3

Observation 2bb78794-b192-4060-a33b-461db2622dbc · inbound

TelecomTS: A Multi-Modal Observability Dataset for Time Series and Language Analysis cites this paper.

TelecomTS: A Multi-Modal Observability Dataset for Time Series and Language Analysis Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-05-21T20:24:21.571934Z

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=2026-05-21T20:23:40.207908Z digest=sha256:4f933b49bf86fed8278f8ef32d2496f845585341148a5e44cc1c939860f80951

Observation eae4e9c0-8762-4a3e-b4c7-066dd736da74 · inbound

TelecomTS: A Multi-Modal Observability Dataset for Time Series and Language Analysis cites this paper.

TelecomTS: A Multi-Modal Observability Dataset for Time Series and Language Analysis Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-04T11:15:44.597429Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T11:15:44.597429Z digest=sha256:001a978c66e96800c2b653fb24e5f9b4193fd30b97a7b02b1ff6c1b196568d3f