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Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook

Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook

publishedDate Venue ACM Computing Surveys

Source-permitted summary

Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook

SourceAssociation for Computing Machinery

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Public source attached

Source status for this paper in the current AISci reviewed snapshot.

Primary source
Association for Computing Machinery
Correction status
none
Evidence coverage
1 sources / 1 publishers
Last metadata check
Jul 19, 2026
DOI: 10.1145/3821637OPENALEX: W4387724855
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AI Reading Notes

Core signal

Structured notes generated from source-linked AISci metadata. Treat them as a reading aid, not a substitute for the paper.

Core signal
Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook
Field context
Foundation Models and Agents, AI for Science
People and labs
Not stated in the reviewed source.
Why it matters
Recent source-backed research output for AISci Stage A browsing.
Limits to check
AISci rank score does not assess scientific quality or citation impact.

Publication facts

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Author order

No reviewed author edge is attached to this output.

Organizations

No source-confirmed author affiliation is attached.

Related events

Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook

Topics

Foundation Models and AgentsAI for Science

Relationship evidence

Timeline

  2. paperLarge Models for Time Series and Spatio-Temporal Data: A Survey and Outlook
    SourceAssociation for Computing Machinery