Pith. sign in

Paper Citation Record · LEDGER

RobustTAD: Robust Time Series Anomaly Detection via Decomposition and Convolutional Neural Networks

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2002.09545.

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

pith.paper-citation-record.v1
2002.09545 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:35:48.675181Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T16:04:52.534297Z

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 19c70f3c-167f-4719-a79f-f22764fc0fe3 · inbound

Diagnosing and Resolving Cloud Platform Instability with Multi-modal RAG LLMs cites this paper.

Diagnosing and Resolving Cloud Platform Instability with Multi-modal RAG LLMs RobustTAD: Robust Time Series Anomaly Detection via Decomposition and Convolutional Neural Networks

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T13:35:48.675181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:35:48.675181Z digest=sha256:3229431206837af0675248f0838ead00612d1e9d59e9561761b6840f6abfc986

Observation b81c9710-26e5-4565-b543-b7c23258cdd5 · inbound

Time-RA: Towards Time Series Reasoning for Anomaly Diagnosis with LLM Feedback cites this paper.

Time-RA: Towards Time Series Reasoning for Anomaly Diagnosis with LLM Feedback RobustTAD: Robust Time Series Anomaly Detection via Decomposition and Convolutional Neural Networks

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-19T03:32:01.472094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-19T03:30:00.958369Z digest=sha256:c1d5d32d6f0627ef26d2f388eec6ffa972c3ba4d716e2493d9b88a7ba542bf60

Observation fa0e98db-2cb3-4bb2-bb5d-71165dc9e55c · inbound

Text Reinforcement for Multimodal Time Series Forecasting cites this paper.

Text Reinforcement for Multimodal Time Series Forecasting RobustTAD: Robust Time Series Anomaly Detection via Decomposition and Convolutional Neural Networks

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-05T13:25:55.886390Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:25:55.886390Z digest=sha256:2a44b9fbe81c034991ff814a83c85bbc05b1942afb1d05f7a80826f2ae331d28

Observation ae3e44aa-35ce-474e-8259-a027d93f560b · inbound

Cascade-KDE: Robust Time-Series Restoration under Out-of-Distribution Impulse Corruptions cites this paper.

Cascade-KDE: Robust Time-Series Restoration under Out-of-Distribution Impulse Corruptions RobustTAD: Robust Time Series Anomaly Detection via Decomposition and Convolutional Neural Networks

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-06-30T16:04:52.535738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-30T16:04:15.262688Z digest=sha256:d0bc81a806eec46de17484e1f680c48d9d27bf5428a5ee27f7fb409f66026368