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Paper Citation Record · LEDGER

Optimal multiple change-point detection for high-dimensional data

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2011.07818.

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

pith.paper-citation-record.v1
2011.07818 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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:35:22.578132Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T20:17:21.614768Z

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 1e9a25ff-dadc-4f80-b36c-ae6c13f8b8dd · inbound

At the edge of Donsker's Theorem: Asymptotics of multiscale scan statistics cites this paper.

At the edge of Donsker's Theorem: Asymptotics of multiscale scan statistics Optimal multiple change-point detection for high-dimensional data

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-07T10:35:22.578132Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:35:22.578132Z digest=sha256:19c9dbe58efc46ed1122a304718200ce087b14c423dd9da0d885166bc45c42be

Observation 86a63aac-fe2c-4168-a5e2-398092cd42a2 · inbound

High Dimensional Change Point Models for Two-Directional Data cites this paper.

High Dimensional Change Point Models for Two-Directional Data Optimal multiple change-point detection for high-dimensional data

Reference 179

Resolution
verified exact
arxiv_id, observed 2026-07-02T20:17:21.616116Z

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=arxiv_source observed=2026-06-27T20:46:26.231549Z digest=sha256:e6fcea75f309921bf327d45ef2aa537118c25becb2cea90742d0a41dc6f41b38