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Paper Citation Record · LEDGER

Neural Contextual Anomaly Detection for Time Series

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2107.07702.

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

pith.paper-citation-record.v1
2107.07702 v1

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 2026-08-10T17:45:45.888418Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T08:27:23.494729Z

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 c8012b40-0538-4a17-9417-0cfaeec40d76 · inbound

Chronos: Learning the Language of Time Series cites this paper.

Chronos: Learning the Language of Time Series Neural Contextual Anomaly Detection for Time Series

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-13T08:27:23.498453Z

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=arxiv_source observed=2026-05-13T08:27:23.298009Z digest=sha256:03bd5a7108cbfca4aeb7c365b9b0b54f70cbb1612654c8c12539e89d21ec3d0a

Observation 0f642ade-90cd-4d05-b100-ccc6fecc44fd · inbound

Noise-Resilient Point-wise Anomaly Detection in Time Series Using Weak Segment Labels cites this paper.

Noise-Resilient Point-wise Anomaly Detection in Time Series Using Weak Segment Labels Neural Contextual Anomaly Detection for Time Series

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-10T17:45:45.888418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:45:45.888418Z digest=sha256:fc1f2c02c16435f5930bc4b8e6f946571cbcf89866e11d0566ffd0255af9a2f8

Observation 5a648cbc-c3fe-4912-9056-c8aa1c147f58 · inbound

Learning Unified Representations of Normalcy for Time Series Anomaly Detection cites this paper.

Learning Unified Representations of Normalcy for Time Series Anomaly Detection Neural Contextual Anomaly Detection for Time Series

Reference 61

Resolution
verified exact
arxiv_id, observed 2026-05-12T06:06:26.621107Z

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=2026-05-12T04:35:37.496154Z digest=sha256:94645c273ff8dd84482c4a62129ae0c20b41e60fd04d6a5e5ace40d2dcf25f3b