Pith. sign in

Paper Citation Record · LEDGER

Detecting Anomalies within Time Series using Local Neural Transformations

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2202.03944.

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

pith.paper-citation-record.v1
2202.03944 v2

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

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T23:49:01.318164Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T23:23:39.952131Z

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 ce02e7a6-7eef-45e7-a15b-a1232024b838 · inbound

A Learnable Multi-views Contrastive Framework with Reconstruction Discrepancy for Medical Time-Series cites this paper.

A Learnable Multi-views Contrastive Framework with Reconstruction Discrepancy for Medical Time-Series Detecting Anomalies within Time Series using Local Neural Transformations

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-09T23:49:01.318164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T23:49:01.318164Z digest=sha256:1823bb355307edb4e5884f72389709f9908a7d6a578ff0e685adec5a15f13b26

Observation 395364e5-cae2-4115-a26b-51fb109df79f · inbound

NeuCoReClass AD: Redefining Self-Supervised Time Series Anomaly Detection cites this paper.

NeuCoReClass AD: Redefining Self-Supervised Time Series Anomaly Detection Detecting Anomalies within Time Series using Local Neural Transformations

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-06T12:19:43.518144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:19:43.518144Z digest=sha256:19c73677b52cb721dba275206116fa81916e3faf3da845bca62af21a2f1575c5

Observation f726f89e-00f0-4343-8f9b-b02daed28024 · inbound

Discrepancy-Aware Contrastive Adaptation in Medical Time Series Analysis cites this paper.

Discrepancy-Aware Contrastive Adaptation in Medical Time Series Analysis Detecting Anomalies within Time Series using Local Neural Transformations

Reference 41

Resolution
verified exact
local_arxiv, observed 2026-08-05T23:23:40.047810Z

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=pdf_text observed=2026-08-05T23:23:38.849569Z digest=sha256:6cfc4d70669916f8e1374f12f77852bf5182f56d54e2fc79c829ef1b90e5504a