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Paper Citation Record · LEDGER

An Evaluation of Anomaly Detection and Diagnosis in Multivariate Time Series

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2109.11428.

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

pith.paper-citation-record.v1
2109.11428 v1

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 2026-08-21T06:32:19.484+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-11T11:50:26.030339Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

0
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation c36f55e0-d851-4f1a-b908-aba12533670c · inbound

Tiny but Trusted: Efficient Vision-Language Reasoning for Time-Series Anomaly Detection cites this paper.

Tiny but Trusted: Efficient Vision-Language Reasoning for Time-Series Anomaly Detection An Evaluation of Anomaly Detection and Diagnosis in Multivariate Time Series

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-06-29T07:03:12.124697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-06-29T06:57:32.468829Z digest=sha256:057d927a303622abf8df12c7d7b1b89b4183627e090bed9a4ceb387512808aa8

Observation 449de3f4-6d84-45df-ac1c-5f5501a79fb4 · inbound

Modeling Normal Is All You Need: Joint Latent Clustering for Anomaly Detection in Multimodal Cyber-Physical Systems cites this paper.

Modeling Normal Is All You Need: Joint Latent Clustering for Anomaly Detection in Multimodal Cyber-Physical Systems An Evaluation of Anomaly Detection and Diagnosis in Multivariate Time Series

Reference 3

Resolution
metadata mismatch
local_arxiv, observed 2026-07-08T16:55:08.357817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-11T11:50:26.030339Z digest=sha256:4b0bb902b79476e822f15552b3888e4540d94381bd29726f311d141f1380368e