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Paper Citation Record · LEDGER

Clustering Areal Units at Multiple Levels of Resolution to Model Crime in Philadelphia

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2112.02059.

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

pith.paper-citation-record.v1
2112.02059 v2

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 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T11:40:13.148143Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T11:40:13.641573Z

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 8a07d62b-777b-4580-947f-a845dbba62b2 · inbound

Multiomics Tissue Segmentation via Spatially-Informed Nested Biclustering Methods cites this paper.

Multiomics Tissue Segmentation via Spatially-Informed Nested Biclustering Methods Clustering Areal Units at Multiple Levels of Resolution to Model Crime in Philadelphia

Reference 3

Resolution
verified exact
local_arxiv, observed 2026-08-05T11:40:13.646702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T11:40:13.148143Z digest=sha256:b05348e536f65b1d76795a545f2a5aa4aa66453d84a9bf910b37e9c6c3a272b7

Observation 7c63bdf0-7c89-4fba-a0fe-dc924419e747 · inbound

Multimodal Ambivalence/Hesitancy Recognition in Videos for Personalized Digital Health Interventions cites this paper.

Multimodal Ambivalence/Hesitancy Recognition in Videos for Personalized Digital Health Interventions Clustering Areal Units at Multiple Levels of Resolution to Model Crime in Philadelphia

Reference 1

Resolution
unresolved
no resolver link, observed 2026-07-12T21:47:26.142042Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T21:47:26.142042Z digest=sha256:8ec60af315c58a4bfbf643a2ab71f2a38e6e6b531dd616d27047810635039a7f