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45 lines (45 loc) · 1.63 KB
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cff-version: 1.2.0
message: "If you use this software or the evidence package, please cite it as below."
title: "TRACE-C: rank-calibrated relational anomaly detection for multi-stream operational telemetry"
type: software
authors:
- family-names: Faucher
given-names: Matthew
orcid: https://orcid.org/0009-0005-5238-731X
version: 0.1.0
date-released: '2026-08-19'
license: MIT
abstract: >-
Strictly-prior rank-calibrated anomaly detection over aligned multi-stream
telemetry, with an evidence-bound reporting chain: rolling robust-z
marginals, local/dependence/temporal channels, Fisher rank aggregation,
disclosed selection rules with exchangeable-null reference counts, a frozen
blind 2020 hold-out on public GB grid data, and committed machine-readable
reports that bind the paper's tables and figures.
keywords:
- anomaly detection
- conformal prediction
- multivariate time series
- calibration
- reproducibility
url: "https://github.com/mars-arch/trace-c"
repository-code: "https://github.com/mars-arch/trace-c"
identifiers:
- type: doi
value: 10.5281/zenodo.22012123
description: Zenodo preprint of the TRACE-C manuscript
- type: doi
value: 10.57967/hf/10063
description: Hugging Face dataset DOI for the NESO evidence package
preferred-citation:
type: article
authors:
- family-names: Faucher
given-names: Matthew
orcid: https://orcid.org/0009-0005-5238-731X
title: "TRACE-C: Rank-Calibrated Relational Anomaly Detection for Multi-Stream Operational Telemetry"
year: 2026
version: 0.1.0
publisher: Zenodo
doi: 10.5281/zenodo.22012123
url: https://doi.org/10.5281/zenodo.22012123