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Paper Citation Record · LEDGER

Feature-Based Time-Series Analysis in R using the theft Package

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2208.06146.

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

pith.paper-citation-record.v1
2208.06146 v4

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 2026-08-23T06:30:58.430688+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T23:20:49.669609Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, 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

7
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 1123735e-efdd-45ff-89ce-19f8cb99db85 · inbound

A Survey on Time-Series Distance Measures cites this paper.

A Survey on Time-Series Distance Measures Feature-Based Time-Series Analysis in R using the theft Package

Reference 85

Resolution
unresolved
no resolver link, observed 2026-08-10T23:20:49.669609Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:20:49.669609Z digest=sha256:54ff7dbe2e7e834d6d1e1a700a84680d0b345ef81e89c21c827921275f30ab0d

Observation 5aa697ae-731e-4e7c-bdf4-3ce6ca4e022b · inbound

FEG-Pro: Forecast-Error Growth Profiling for Finite-Horizon Instability Analysis of Nonlinear Time Series cites this paper.

FEG-Pro: Forecast-Error Growth Profiling for Finite-Horizon Instability Analysis of Nonlinear Time Series Feature-Based Time-Series Analysis in R using the theft Package

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-19T23:17:57.305692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-19T23:14:00.844185Z digest=sha256:f28368031a060a5c3e677920fdb84f84169e460017a3b64022884db2801595a5