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Paper Citation Record · LEDGER

An Analysis of Linear Time Series Forecasting Models

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 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 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T23:32:47.101425Z

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
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  • malformed identifier0
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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 182d8500-8349-4e9f-a5d2-ec6553351e4a · inbound

Real-time Calibration Model for Low-cost Sensor in Fine-grained Time series cites this paper.

Real-time Calibration Model for Low-cost Sensor in Fine-grained Time series An Analysis of Linear Time Series Forecasting Models

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-10T23:32:47.101425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T23:32:47.101425Z digest=sha256:854ca05344b94b990f6524fd27f516aa5d9f76820c00e63d5b7329909e5a17aa

Observation a71e5070-e57e-422e-94e6-23927a8bb104 · inbound

Battling the Non-stationarity in Time Series Forecasting via Test-time Adaptation cites this paper.

Battling the Non-stationarity in Time Series Forecasting via Test-time Adaptation An Analysis of Linear Time Series Forecasting Models

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-10T21:27:51.872085Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T21:27:51.872085Z digest=sha256:965676d460a185674d009d29c37c2075a7cd3aa46506fe54e0a131377320a510

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.

source=pdf_text observed=2026-08-05T11:40:47.502193Z digest=sha256:de8a7ada9aef3b18d7c10bf0269d3861b2fb5a17e1f059714fa27323a5712222

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-25T08:22:24.238459Z digest=sha256:c5486548ca3d3a36ba0dc7e8db2a4093951cc202acf021d4a0a164ecb5da504a

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-18T12:49:02.077485Z digest=sha256:611a86cd035a6edb085dc79ffc5ecbdcbdbf04f7b48272cbab08de3cf881dab5

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-11T02:52:58.938832Z digest=sha256:c04be295bae2d4b5710d82e080d5f1370c563ce8c4cb619b7143413852e73006