A Content-Addressed Workflow for Reproducible DANTE Gravitational-Wave Anomaly Analysis
Abstract
Unsupervised analysis of gravitational-wave detector data combines expensive scientific stages with data acquisition, provenance checks, statistical calibration, follow-up products, and reporting. Reproducing such an analysis requires more than preserving model weights or a final candidate table: the execution graph, scientific contracts, retry semantics, and verification boundary must also be explicit. We present a local workflow layer for the Domain-Adaptive Network for Transient Evaluation (DANTE) that represents a corrected O4a analysis as a content-addressed, 15-stage directed acyclic graph. The architecture separates immutable stage evidence from mutable operational progress, binds command-line and browser interfaces to the same run identity, and resumes only work compatible with the frozen contract. The tagged v1 release records all 15 stages as verified in a machine-readable receipt and passed a documented human usability gate. The release verifies adopted scientific artifacts rather than recomputing them, and therefore makes no new claim of global significance, astrophysical discovery, or public real-time operation. This paper describes the architecture, its fail-closed controls, and the bounded evidence supporting reproducible local use.
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BibTeX
@misc{cirfeta2026contentaddressed,
title = {{A Content-Addressed Workflow for Reproducible DANTE Gravitational-Wave Anomaly Analysis}},
author = {Luca Cirfeta},
howpublished = {arXiv},
year = {2026},
month = sep,
doi = {10.48550/arxiv.2609.08695},
eprint = {2609.08695},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2609.08695},
note = {CC BY 4.0},
}
RIS
TY - UNPB
TI - A Content-Addressed Workflow for Reproducible DANTE Gravitational-Wave Anomaly Analysis
AU - Luca Cirfeta
PY - 2026
DA - 2026/09/08
PB - arXiv
DO - 10.48550/arxiv.2609.08695
UR - https://arxiv.org/abs/2609.08695
AB - Unsupervised analysis of gravitational-wave detector data combines expensive scientific stages with data acquisition, provenance checks, statistical calibration, follow-up products, and reporting. Reproducing such an analysis requires more than preserving model weights or a final candidate table: the execution graph, scientific contracts, retry semantics, and verification boundary must also be explicit. We present a local workflow layer for the Domain-Adaptive Network for Transient Evaluation (DANTE) that represents a corrected O4a analysis as a content-addressed, 15-stage directed acyclic graph. The architecture separates immutable stage evidence from mutable operational progress, binds command-line and browser interfaces to the same run identity, and resumes only work compatible with the frozen contract. The tagged v1 release records all 15 stages as verified in a machine-readable receipt and passed a documented human usability gate. The release verifies adopted scientific artifacts rather than recomputing them, and therefore makes no new claim of global significance, astrophysical discovery, or public real-time operation. This paper describes the architecture, its fail-closed controls, and the bounded evidence supporting reproducible local use.
ER -