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Paper Citation Record · LEDGER

Kernel Density Estimators in Large Dimensions

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2408.05807.

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

pith.paper-citation-record.v1
2408.05807 v3

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 2026-08-09T06:31:02.800959+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T21:05:57.411177Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T18:10:01.478258Z

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 c3627173-61d3-4051-bc7e-7389977f1825 · inbound

Memorization and Generalization in Generative Diffusion under the Manifold Hypothesis cites this paper.

Memorization and Generalization in Generative Diffusion under the Manifold Hypothesis Kernel Density Estimators in Large Dimensions

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T21:05:57.411177Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T21:05:57.411177Z digest=sha256:f6085c2e74e77d7e21fd7878c94be6d8d1266596b2faed150fb57fc069a7fc98

Observation d9324de9-b7c9-4d29-b3c3-b486b921286f · inbound

Improving Radio Source Count Estimation Using Kernel Density Estimation cites this paper.

Improving Radio Source Count Estimation Using Kernel Density Estimation Kernel Density Estimators in Large Dimensions

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-07-04T18:10:01.480086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-25T23:02:26.957401Z digest=sha256:7a413031c30822c39d3e318eb35a66371e2974b7fe4673a12e29606d0a6a5162

Observation bbc1f6b5-a0c5-4dda-b83f-a075cdedba8b · inbound

Breaking the Curse with BAND: Nonparametric Distribution Estimation in High Dimensions cites this paper.

Breaking the Curse with BAND: Nonparametric Distribution Estimation in High Dimensions Kernel Density Estimators in Large Dimensions

Reference 46

Resolution
unresolved
no resolver link, observed 2026-07-30T15:56:42.243523Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T15:56:42.243523Z digest=sha256:a2ff08bcc79cba590f660605b928ee7a0575c73bd86700abe4a1ac8738bc65bf