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ZENODO
Software . 2025
Data sources: ZENODO
ZENODO
Software . 2026
Data sources: Datacite
ZENODO
Software . 2026
Data sources: Datacite
ZENODO
Software . 2025
Data sources: Datacite
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VAAS: Vision-Attention Anomaly Scoring

Authors: Bamigbade, Opeyemi; Scanlon, Mark; Sheppard, John;

VAAS: Vision-Attention Anomaly Scoring

Abstract

This release introduces structured model-variant handling and formalizes VAAS model lineage across Hugging Face branches. Highlights: Branch-based model variant loading (model_variant API) Deterministic revision naming for reproducible releases Full metadata propagation from HF config into runtime pipeline Stable separation of smoke vs integration tests Correct optional torch dependency isolation Improved Makefile environment handling Lint-clean, formatting-stable packaging This version establishes VAAS as a branch-aware, reproducible inference library and serves as the foundation for future architecture and dataset expansions.

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average