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Paper Citation Record · LEDGER

ST-UNet: A Spatio-Temporal U-Network for Graph-structured Time Series Modeling

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1903.05631.

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

pith.paper-citation-record.v1
1903.05631 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:44:50.152301Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T02:10:13.194994Z

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 4a4053e6-4dcf-464c-a990-027a58888a16 · inbound

Graph Representation Learning via Hard and Channel-Wise Attention Networks cites this paper.

Graph Representation Learning via Hard and Channel-Wise Attention Networks ST-UNet: A Spatio-Temporal U-Network for Graph-structured Time Series Modeling

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-25T02:10:13.197466Z

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=2026-05-25T02:07:40.959112Z digest=sha256:ef44184f9e60ea2ada417c20139bc5cb4f9b4663e524bb688672700e09d0b962

Observation 680cbcba-d67a-43a3-a7f1-76a85c1ad7a0 · inbound

Recurrent U-Net-Based Graph Neural Network (RUGNN) for Accurate Deformation Predictions in Sheet Material Forming cites this paper.

Recurrent U-Net-Based Graph Neural Network (RUGNN) for Accurate Deformation Predictions in Sheet Material Forming ST-UNet: A Spatio-Temporal U-Network for Graph-structured Time Series Modeling

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-06T18:44:50.152301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:44:50.152301Z digest=sha256:220f105aa23ce0b4a4da5477fbd3c442faea8da7979142a2551938b2788059bc

Observation a4b1d64e-4eb6-4656-94e7-eccdb06e5e25 · inbound

MSA2-Net: Utilizing Self-Adaptive Convolution Module to Extract Multi-Scale Information in Medical Image Segmentation cites this paper.

MSA2-Net: Utilizing Self-Adaptive Convolution Module to Extract Multi-Scale Information in Medical Image Segmentation ST-UNet: A Spatio-Temporal U-Network for Graph-structured Time Series Modeling

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-05T12:33:53.558859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:33:53.558859Z digest=sha256:fb65f726eb8b91fcc41376302b667f0625e2937fde435687864e240e2b518f22