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Paper Citation Record · LEDGER

Spatiotemporal Data Mining: A Survey

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2206.12753.

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

pith.paper-citation-record.v1
2206.12753 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 2026-08-07T05:49:43.557637Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T07:36:03.232251Z

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 cff1930d-6b1b-4d8b-b4d5-81f72f1c3f61 · inbound

Spatial-Temporal Data Mining for Ocean Science: Data, Methodologies, and Opportunities cites this paper.

Spatial-Temporal Data Mining for Ocean Science: Data, Methodologies, and Opportunities Spatiotemporal Data Mining: A Survey

Reference 218

Resolution
verified exact
arxiv_id, observed 2026-05-24T07:36:03.235958Z

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=2026-05-24T07:35:54.238131Z digest=sha256:ca097642e29e190ffffa491df993646a39056f02de92208ea70117dc8c168323

Observation 1dd6c14e-b3b5-4a8f-b31e-4534484af5dd · inbound

Towards Physics-informed Diffusion for Anomaly Detection in Trajectories cites this paper.

Towards Physics-informed Diffusion for Anomaly Detection in Trajectories Spatiotemporal Data Mining: A Survey

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-07T05:49:43.557637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:49:43.557637Z digest=sha256:89f644baf85b966af76b5ebd11b6ad6d0db2cf1e283b2758436bf6a9f53a6519