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Paper Citation Record · LEDGER

Deep Learning for Time Series Anomaly Detection: A Survey

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2211.05244.

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

pith.paper-citation-record.v1
2211.05244 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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T10:25:57.844248Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T14:28:03.756206Z

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 22c09f98-b082-46a4-8ca1-7c7507b4b0a8 · inbound

Towards the Habitable Worlds Observatory: 1D CNN Retrieval of Reflection Spectra from Evolving Earth Analogs cites this paper.

Towards the Habitable Worlds Observatory: 1D CNN Retrieval of Reflection Spectra from Evolving Earth Analogs Deep Learning for Time Series Anomaly Detection: A Survey

Reference 96

Resolution
unresolved
no resolver link, observed 2026-08-06T10:25:57.844248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T10:25:57.844248Z digest=sha256:6586631f0ee6954497fc4e71008c244eca52ad1da9bd75f068de8036c56baf10

Observation 8c44c257-25e7-4131-b428-226dfb3c8384 · inbound

CALM: A Framework for Continuous, Adaptive, and LLM-Mediated Anomaly Detection in Time-Series Streams cites this paper.

CALM: A Framework for Continuous, Adaptive, and LLM-Mediated Anomaly Detection in Time-Series Streams Deep Learning for Time Series Anomaly Detection: A Survey

Reference 15

Resolution
metadata mismatch
local_arxiv, observed 2026-08-05T14:28:03.854747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T14:28:02.607234Z digest=sha256:16b7a33edc45dde9c9e4ac2893a484a3dd3a32a76e097842a84709fed1140fdc