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Paper Citation Record · LEDGER

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

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 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 2 of 2 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T23:59:44.660212Z

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 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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T23:59:44.660212Z digest=sha256:fb87fc2476e310f63df575258bdfd00e21da8c2ee13516fa68e60c6b2730e8b0

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.

source=pdf_text observed=2026-07-15T05:55:25.279392Z digest=sha256:0c8955e20a4cf91962cdb9fc2219916f27f6a4ae41d2b784d3e9001364900801