HCMA Paper 5: Composable Temporal Governance for Semantic Retrievers

HCMA Paper 5: temporal governance (version collapse at consolidation time) as a composable, retriever-agnostic module. We show that applying governance to any retriever closes the temporal version-drift gap without retraining and without sacrificing paraphrase robustness — semantic matching and temporal validity are orthogonal, composable concerns. Key results (Natural Questions, plausible temporal drift): • Hybrid (pretrained MiniLM + governance): 0.993 paraphrase / 1.000 verbatim / conformal coverage 1.000 (α=0.05), vs pretrained-ungoverned 0.447 / 0.432 / 0.004. • Composability (governance lifts paraphrase accuracy): BM25 0.092→0.962 (+0.870), MiniLM 0.440→0.989 (+0.550), MPNet 0.229→0.989 (+0.760). License: CC-BY 4.0 (paper/docs/data); Apache-2.0 (code, SPDX headers inline). SHA-256 integrity manifest: manifest.json

Authors

Publication Details

Journal
Open Science Framework
Published
2026-10-30
DOI
https://doi.org/10.17605/osf.io/5rmz6
Primary Topic
Information Retrieval and Search Behavior
Type
article
Field-Weighted Citation Impact
0.00
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HCMA Paper 5: Composable Temporal Governance for Semantic Retrievers

Mauro Javier Silva
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Open Science Framework
Information Retrieval and Search Behavior
article

HCMA Paper 5: Composable Temporal Governance for Semantic Retrievers

Mauro Javier Silva
article en

Abstract

HCMA Paper 5: temporal governance (version collapse at consolidation time) as a composable, retriever-agnostic module. We show that applying governance to any retriever closes the temporal version-drift gap without retraining and without sacrificing paraphrase robustness — semantic matching and temporal validity are orthogonal, composable concerns. Key results (Natural Questions, plausible temporal drift): • Hybrid (pretrained MiniLM + governance): 0.993 paraphrase / 1.000 verbatim / conformal coverage 1.000 (α=0.05), vs pretrained-ungoverned 0.447 / 0.432 / 0.004. • Composability (governance lifts paraphrase accuracy): BM25 0.092→0.962 (+0.870), MiniLM 0.440→0.989 (+0.550), MPNet 0.229→0.989 (+0.760). License: CC-BY 4.0 (paper/docs/data); Apache-2.0 (code, SPDX headers inline). SHA-256 integrity manifest: manifest.json

Open Science Framework
Openalex Percentile: Top 6%
Information Retrieval and Search Behavior
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