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Paper Citation Record · LEDGER

UniST: A Prompt-Empowered Universal Model for Urban Spatio-Temporal Prediction

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2402.11838.

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

pith.paper-citation-record.v1
2402.11838 v5

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 2026-08-20T06:33:59.587034+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:55:26.955063Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-12T04:54:41.761496Z

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 e6145c00-ad61-4978-af4a-5ab4f7f7a58f · inbound

BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis cites this paper.

BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis UniST: A Prompt-Empowered Universal Model for Urban Spatio-Temporal Prediction

Reference 22

Resolution
verified exact
local_arxiv, observed 2026-08-12T04:54:41.765555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T04:54:40.937565Z digest=sha256:056d2535e0aa61322b20811cdfd1fa633c9018cba273f756b1e67f3c7a92e7bf

Observation 2db9ffba-bbd3-4833-9bde-6dcd1c408f01 · inbound

UrbanMind: Urban Dynamics Prediction with Multifaceted Spatial-Temporal Large Language Models cites this paper.

UrbanMind: Urban Dynamics Prediction with Multifaceted Spatial-Temporal Large Language Models UniST: A Prompt-Empowered Universal Model for Urban Spatio-Temporal Prediction

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-15T20:55:26.955063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:55:26.955063Z digest=sha256:b4456ec77ba92494681aae0401b932e4780df5ae5c68faef8cf3b050413f8ef0