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Paper Citation Record · LEDGER

Spatio-Temporal Foundation Models: Vision, Challenges, and Opportunities

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2501.09045.

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

pith.paper-citation-record.v1
2501.09045 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 2026-08-08T06:32:00.761636+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:16:21.027791Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T01:16:25.052148Z

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 de194dba-7aad-4a1b-b828-d6c5ce754ec8 · inbound

Decoupling Spatio-Temporal Prediction: When Lightweight Large Models Meet Adaptive Hypergraphs cites this paper.

Decoupling Spatio-Temporal Prediction: When Lightweight Large Models Meet Adaptive Hypergraphs Spatio-Temporal Foundation Models: Vision, Challenges, and Opportunities

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T14:16:21.027791Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:16:21.027791Z digest=sha256:960c2586f0652b6da1949b98d9ebcdcb984abf7eb334ee3eaea391dab781b150

Observation 3460d645-7573-42b3-b84a-1115aa99e0d5 · inbound

Unraveling Spatio-Temporal Foundation Models via the Pipeline Lens: A Comprehensive Review cites this paper.

Unraveling Spatio-Temporal Foundation Models via the Pipeline Lens: A Comprehensive Review Spatio-Temporal Foundation Models: Vision, Challenges, and Opportunities

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T11:49:30.977035Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:49:30.977035Z digest=sha256:2c3b9097532820f214df3bb059947696c2cc02ca81204ab761afc7904c91895e

Observation c5ea64c3-56e3-43bd-83fc-b94f5b13958d · inbound

Large Language Model Powered Intelligent Urban Agents: Concepts, Capabilities, and Applications cites this paper.

Large Language Model Powered Intelligent Urban Agents: Concepts, Capabilities, and Applications Spatio-Temporal Foundation Models: Vision, Challenges, and Opportunities

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-06T21:07:06.905916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:07:06.905916Z digest=sha256:cf806370148c43feabc191801565783fe85ad87d19cedb77e7c50c2f9bbe97dc

Observation 959d5ff8-01a3-4ece-9553-accb8c0b727e · inbound

SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications cites this paper.

SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications Spatio-Temporal Foundation Models: Vision, Challenges, and Opportunities

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-06T20:15:07.200014Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:15:07.200014Z digest=sha256:b22267a8e5be3ff7a230e826e891f29c08e6985af3f2a57f57a0543ae2e7af38

Observation c3156df2-ebe6-462a-bf6d-ad29c04e610a · inbound

Mapping the Storm: Geospatial Impacts of Severe Weather on LEO Network Performance cites this paper.

Mapping the Storm: Geospatial Impacts of Severe Weather on LEO Network Performance Spatio-Temporal Foundation Models: Vision, Challenges, and Opportunities

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-07-02T01:16:25.053889Z

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=2026-06-28T12:13:39.497877Z digest=sha256:cdd56ef8dcca880c7961f468350324ae42c698578d15876b37375d22191c1b8b

Observation e7750401-664a-44b5-83ef-538ed6e15f6c · inbound

Learning Spatio-Temporal Foundation Models from Pure Synthetic Data cites this paper.

Learning Spatio-Temporal Foundation Models from Pure Synthetic Data Spatio-Temporal Foundation Models: Vision, Challenges, and Opportunities

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-02T09:50:18.159385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T09:50:18.159385Z digest=sha256:66185f28f0f689a79b0b2670df392d785696944dc5622ba2844fe3b607946d8f