Paper Citation Record · LEDGER

ST-MLP: A Cascaded Spatio-Temporal Linear Framework with Channel-Independence Strategy for Traffic Forecasting

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2308.07496.

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

pith.paper-citation-record.v1
2308.07496 v1

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 2026-08-14T06:32:32.682623+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T13:35:20.082502Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T23:59:46.960697Z

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 5d2089c2-d2c1-4db8-af6a-4371b07dfaa4 · inbound

Causal Adjacency Learning for Spatiotemporal Prediction Over Graphs cites this paper.

Causal Adjacency Learning for Spatiotemporal Prediction Over Graphs ST-MLP: A Cascaded Spatio-Temporal Linear Framework with Channel-Independence Strategy for Traffic Forecasting

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-12T13:35:20.082502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ec2c966-ef83-4a37-a23c-4aad9c50158f · inbound

APS-LSTM: Exploiting Multi-Periodicity and Diverse Spatial Dependencies for Flood Forecasting cites this paper.

APS-LSTM: Exploiting Multi-Periodicity and Diverse Spatial Dependencies for Flood Forecasting ST-MLP: A Cascaded Spatio-Temporal Linear Framework with Channel-Independence Strategy for Traffic Forecasting

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T20:41:22.971492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d85d572-17f4-437d-a242-56e65bc949d1 · inbound

PreMixer: MLP-Based Pre-training Enhanced MLP-Mixers for Large-scale Traffic Forecasting cites this paper.

PreMixer: MLP-Based Pre-training Enhanced MLP-Mixers for Large-scale Traffic Forecasting ST-MLP: A Cascaded Spatio-Temporal Linear Framework with Channel-Independence Strategy for Traffic Forecasting

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-11T13:01:39.940399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99ff5aa9-c42f-41e0-bb4f-f9cba03ce0cb · inbound

Efficient Traffic Prediction Through Spatio-Temporal Distillation cites this paper.

Efficient Traffic Prediction Through Spatio-Temporal Distillation ST-MLP: A Cascaded Spatio-Temporal Linear Framework with Channel-Independence Strategy for Traffic Forecasting

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-10T20:27:02.949938Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5804b6de-5135-4207-a521-64c10305d5d5 · inbound

Channel-Independent Federated Traffic Prediction cites this paper.

Channel-Independent Federated Traffic Prediction ST-MLP: A Cascaded Spatio-Temporal Linear Framework with Channel-Independence Strategy for Traffic Forecasting

Reference 33

Resolution: verified exact; local_arxiv, observed 2026-08-05T23:59:47.035937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5d829293-6c80-4277-97b0-cf2501a0aca3 · inbound

Do We Really Need Adaptive Global Spatial Attention for Traffic Forecasting? cites this paper.

Do We Really Need Adaptive Global Spatial Attention for Traffic Forecasting? ST-MLP: A Cascaded Spatio-Temporal Linear Framework with Channel-Independence Strategy for Traffic Forecasting

Reference 28

Resolution: unresolved; no resolver link, observed 2026-07-15T05:55:25.279392Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.