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Paper Citation Record · LEDGER

Spatial depth for data in metric spaces

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2306.09740.

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

pith.paper-citation-record.v1
2306.09740 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:21:39.280738Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-28T19:32:34.895788Z

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 f0458332-ec69-4c7d-9247-025b5c32a37e · inbound

Wasserstein Spatial Depth cites this paper.

Wasserstein Spatial Depth Spatial depth for data in metric spaces

Reference 59

Resolution
verified exact
arxiv_id, observed 2026-05-23T17:35:43.703514Z

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=2026-05-23T17:34:14.361177Z digest=sha256:db0cb55f389ba687912f944ddfba45cb3db1c2de12a7be7fca8503f9c027bff4

Observation ff78f7f5-2b66-408d-9ee9-a3a5acc93fd7 · inbound

Model-Free Kernel Conformal Depth Measures Algorithm for Uncertainty Quantification in Regression Models in Separable Hilbert Spaces cites this paper.

Model-Free Kernel Conformal Depth Measures Algorithm for Uncertainty Quantification in Regression Models in Separable Hilbert Spaces Spatial depth for data in metric spaces

Reference 2007

Resolution
unresolved
no resolver link, observed 2026-08-07T05:21:39.280738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:21:39.280738Z digest=sha256:50256b1755bcc9d31493a554c367b8070b361df7f8b4871f601f6186e9e24688

Observation 31daba8b-30ac-43ae-ab7e-da7a1548c655 · inbound

Polar Depth for Potentially Heavy-Tailed Data cites this paper.

Polar Depth for Potentially Heavy-Tailed Data Spatial depth for data in metric spaces

Reference 70

Resolution
verified exact
arxiv_id, observed 2026-06-28T19:32:34.897565Z

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=2026-06-28T19:30:24.929773Z digest=sha256:74cbaac2d983befbd3691a6fc7f9f83aef6b774b0eb07fad4d367efc13a25636