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Paper Citation Record · LEDGER

TimeSeriesBench: An Industrial-Grade Benchmark for Time Series Anomaly Detection Models

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2402.10802.

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

pith.paper-citation-record.v1
2402.10802 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 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:00:22.184352Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T15:25:07.640816Z

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 d8c4ac0c-5d09-45e6-857e-0702b6b6555c · inbound

Argos: Agentic Time-Series Anomaly Detection with Autonomous Rule Generation via Large Language Models cites this paper.

Argos: Agentic Time-Series Anomaly Detection with Autonomous Rule Generation via Large Language Models TimeSeriesBench: An Industrial-Grade Benchmark for Time Series Anomaly Detection Models

Reference 55

Resolution
verified exact
local_arxiv, observed 2026-08-10T15:25:07.647885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T15:25:07.329808Z digest=sha256:a2b32d65486777a12756c33eefcb13f5c10559ee7efd37abe4c9870336aa2804

Observation fc59e3f2-b624-453d-afc5-75013d028cbe · inbound

TAB: Unified Benchmarking of Time Series Anomaly Detection Methods cites this paper.

TAB: Unified Benchmarking of Time Series Anomaly Detection Methods TimeSeriesBench: An Industrial-Grade Benchmark for Time Series Anomaly Detection Models

Reference 92

Resolution
unresolved
no resolver link, observed 2026-08-15T19:00:22.184352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:00:22.184352Z digest=sha256:69ff4baeca7d60f08d82e498989d7058fe62dd16cbd92a2d11899f73eb2d9acb