Paper Citation Record · LEDGER

An Analysis of Linear Time Series Forecasting Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2403.14587.

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

pith.paper-citation-record.v1
2403.14587 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T11:40:47.502193Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T08:25:34.193627Z

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 c6b6dcd3-955e-4838-a04e-981d5aeeccdb · inbound

RDIT: Residual-based Diffusion Implicit Models for Probabilistic Time Series Forecasting cites this paper.

RDIT: Residual-based Diffusion Implicit Models for Probabilistic Time Series Forecasting An Analysis of Linear Time Series Forecasting Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-05T11:40:47.502193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 751ca74f-7482-4108-82be-0d9b0e878130 · inbound

Super-Linear: A Lightweight Pretrained Mixture of Linear Experts for Time Series Forecasting cites this paper.

Super-Linear: A Lightweight Pretrained Mixture of Linear Experts for Time Series Forecasting An Analysis of Linear Time Series Forecasting Models

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-05-25T08:25:34.196146Z

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.

Observation c6d92df2-f7bd-4f2e-92f2-c56cff8c465c · inbound

Characteristic Root Analysis and Regularization for Linear Time Series Forecasting cites this paper.

Characteristic Root Analysis and Regularization for Linear Time Series Forecasting An Analysis of Linear Time Series Forecasting Models

Reference 45

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T12:51:23.448724Z

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.

Observation d0460672-6d23-4e88-b69a-3a272eb4c0e1 · inbound

STEPS: A Temporal Smooth Error Propagation Solver on the Manifolds for Test-Time Adaptation in Time Series Forecasting cites this paper.

STEPS: A Temporal Smooth Error Propagation Solver on the Manifolds for Test-Time Adaptation in Time Series Forecasting An Analysis of Linear Time Series Forecasting Models

Reference 5

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T03:05:54.578657Z

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.