Pith. sign in

Paper Citation Record · LEDGER

High-dimensional change-point detection with sparse alternatives

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1312.1900.

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

pith.paper-citation-record.v1
1312.1900 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 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T05:15:23.451026Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-02T20:17:21.632811Z

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 560a1b87-2739-40f9-8b80-1832c41ab5e1 · inbound

Subset Multivariate Collective And Point Anomaly Detection cites this paper.

Subset Multivariate Collective And Point Anomaly Detection High-dimensional change-point detection with sparse alternatives

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-14T05:15:23.451026Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T05:15:23.451026Z digest=sha256:eacea228a0dafb31a415fe5e9837e453b31f5c96999078007c381e87cf16eccf

Observation 0a31b590-8090-4c49-89dc-9087b5658f23 · inbound

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

High Dimensional Change Point Models for Two-Directional Data High-dimensional change-point detection with sparse alternatives

Reference 73

Resolution
metadata mismatch
local_arxiv, observed 2026-07-02T20:17:21.634071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-06-27T20:46:26.231549Z digest=sha256:ae968275390230b257e12a7a39c9a719e9650c69c083cee28e779d22ac27982a