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Paper Citation Record · LEDGER

Narrowest Significance Pursuit: inference for multiple change-points in linear models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2009.05431.

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

pith.paper-citation-record.v1
2009.05431 v6

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

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:35:22.528448Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T20:17:21.607994Z

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 b8964e3d-fdfe-4636-8972-22f703cd1ffe · 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 Narrowest Significance Pursuit: inference for multiple change-points in linear models

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T10:35:22.528448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:35:22.528448Z digest=sha256:9132c7ca78202f11f5604c9a3dcf145b5574a47147cf81d44a24d834c93e8a65

Observation 3f352cbb-629b-4734-9b73-964672ad1db9 · inbound

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

High Dimensional Change Point Models for Two-Directional Data Narrowest Significance Pursuit: inference for multiple change-points in linear models

Reference 180

Resolution
verified exact
arxiv_id, observed 2026-07-02T20:17:21.609275Z

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=arxiv_source observed=2026-06-27T20:46:26.231549Z digest=sha256:7ca5865e474540fe73396407599720a084c24cedfd259621734b45b336def679