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Paper Citation Record · LEDGER

Change-Point Detection in Time Series Using Mixed Integer Programming

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2408.05665.

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

pith.paper-citation-record.v1
2408.05665 v3

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 2026-08-12T06:34:41.77262+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T12:08:05.202398Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T01:49:22.256012Z

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 a7279366-3edf-4e14-9da1-a6a8ac14211b · inbound

Testing for multiple change-points in macroeconometrics: an empirical guide and recent developments cites this paper.

Testing for multiple change-points in macroeconometrics: an empirical guide and recent developments Change-Point Detection in Time Series Using Mixed Integer Programming

Reference 631

Resolution
unresolved
no resolver link, observed 2026-08-06T12:08:05.202398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:08:05.202398Z digest=sha256:50f7d04b494ba73ef3f4b05157b75a3d5baae91b314d95ad1bcac14e7f371543

Observation 24510f87-ae46-4620-8d68-61465ba85dc5 · inbound

Feature Screening for High-Dimensional Structural Break Predictive Regression cites this paper.

Feature Screening for High-Dimensional Structural Break Predictive Regression Change-Point Detection in Time Series Using Mixed Integer Programming

Reference 66

Resolution
verified exact
arxiv_id, observed 2026-07-04T01:49:22.257547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-06-26T20:11:21.886827Z digest=sha256:43fb4a4420a088823d48e4dc145881420f1d5fe98091010b2a68621ef9e5ca28