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Paper Citation Record · LEDGER

Spatial-Temporal Mixture-of-Graph-Experts for Multi-Type Crime Prediction

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2409.15764.

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

pith.paper-citation-record.v1
2409.15764 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 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T05:35:51.727147Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T11:49:52.364040Z

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 07a23dd5-08a2-489c-bfa9-522b79554485 · inbound

HiMoE: Heterogeneity-Informed Mixture-of-Experts for Fair Spatial-Temporal Forecasting cites this paper.

HiMoE: Heterogeneity-Informed Mixture-of-Experts for Fair Spatial-Temporal Forecasting Spatial-Temporal Mixture-of-Graph-Experts for Multi-Type Crime Prediction

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-12T05:35:51.727147Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:35:51.727147Z digest=sha256:f72a311ba7f59b23e0be5cfb659571355a8c5d16af45a3912365468cdbc89da5

Observation e1ffdbcf-e40e-4ba5-849d-baa0bd5081c7 · 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 Spatial-Temporal Mixture-of-Graph-Experts for Multi-Type Crime Prediction

Reference 228

Resolution
verified exact
local_arxiv, observed 2026-08-07T11:49:52.488324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T11:49:50.969873Z digest=sha256:bc45176420115e528fe3652bfe90fee610f4ec47b1bfb8340d22812c25b469e0