Paper Citation Record · LEDGER

TimeFilter: Patch-Specific Spatial-Temporal Graph Filtration for Time Series Forecasting

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2501.13041.

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

pith.paper-citation-record.v1
2501.13041 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 2026-08-09T06:31:02.800959+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T11:40:49.045440Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T04:47:37.809969Z

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 c0e868d2-2034-492f-904d-1f5ced63d6d5 · inbound

FinTSB: A Comprehensive and Practical Benchmark for Financial Time Series Forecasting cites this paper.

FinTSB: A Comprehensive and Practical Benchmark for Financial Time Series Forecasting TimeFilter: Patch-Specific Spatial-Temporal Graph Filtration for Time Series Forecasting

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-23T02:52:26.578866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4fabfa48-e158-45fb-9c69-702a484200f0 · 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 TimeFilter: Patch-Specific Spatial-Temporal Graph Filtration for Time Series Forecasting

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-05T11:40:49.045440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d32c010b-d3db-4b59-b29d-721a9e16046d · inbound

What If We Let Forecasting Forget? A Sparse Bottleneck for Cross-Variable Dependencies cites this paper.

What If We Let Forecasting Forget? A Sparse Bottleneck for Cross-Variable Dependencies TimeFilter: Patch-Specific Spatial-Temporal Graph Filtration for Time Series Forecasting

Reference 74

Resolution: verified exact; arxiv_id, observed 2026-05-12T07:31:27.003811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 882cdb87-64b5-4540-8e62-783457be43ba · inbound

Double-Directional Wireless Channel Modeling Using Statistics-Aided Machine Learning cites this paper.

Double-Directional Wireless Channel Modeling Using Statistics-Aided Machine Learning TimeFilter: Patch-Specific Spatial-Temporal Graph Filtration for Time Series Forecasting

Reference 17

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T15:47:05.883730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9ac479f6-f4a5-4f58-a406-c93a40e05f7e · inbound

Trio: Learning Time-Series Forecasting with Temporal-Spatial-Sample Attention and Structural Causal Priors cites this paper.

Trio: Learning Time-Series Forecasting with Temporal-Spatial-Sample Attention and Structural Causal Priors TimeFilter: Patch-Specific Spatial-Temporal Graph Filtration for Time Series Forecasting

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-07-02T16:27:09.683644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4828ae38-9382-4f19-83c9-ff98650b1b4e · inbound

One Step Closer to Ground Truth: A Multi-Scale Residual-Aware Representation Learning Pipeline for Predicting Time Series Data cites this paper.

One Step Closer to Ground Truth: A Multi-Scale Residual-Aware Representation Learning Pipeline for Predicting Time Series Data TimeFilter: Patch-Specific Spatial-Temporal Graph Filtration for Time Series Forecasting

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-07-03T04:47:37.811356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.