AETHER v3.0.0 - Vocabulary-Aware Governance

What's New in v3.0.0

This release introduces the v3 governance formula with vocabulary-size normalization, preventing regressions on high-activity process mining datasets.

v3 Formula: Vocabulary-Aware Minimum Floor

min_floor = 0.50 + 0.05 × log(vocab_size / 20) / log(4)

The adaptive threshold now respects activity taxonomy complexity:

• 20 activities: min = 0.50 (unchanged from v2)
• 80 activities: min = 0.55 (matches static baseline)
• 320 activities: min = 0.60 (conservative for complex taxonomies)

This implements a "do no harm" principle: when the adaptive formula would perform worse than static thresholds, it converges to the static baseline.

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Benchmark Results (10 Datasets, 5 Domains)

Dataset	Domain	Cases	MCC Improvement
🏆 Road Traffic Fine	Government	30,074	+266%
🥈 SAP Workflow	Enterprise	2,896	+31.3%
Wearable Tracker	Retail	218	+17.8%
Sepsis	Healthcare	210	+2.3%
BPI 2019	Finance	500	+0.6%
BPIC 2012	Finance	500	+0.4%
Judicial	Legal	5	0.0%
BPI 2018 Agriculture	Government	2,000	-2.2%
NetSuite 2025	Finance	274	-3.3%
SAP BSP669	Enterprise	767	-24.0%

7/10 datasets show improvement. Scale validation confirmed at 150K cases with +266% MCC improvement.

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New Features

1. Vocabulary-Aware Minimum Floor

• computeVocabAwareMinFloor(vocabSize) function
• VOCAB_NORMALIZATION configuration object
• Optional vocabSize parameter in computeEffectiveThresholds()

2. 10-Dataset Benchmark Suite

• 6 new training scripts
• 6 new benchmark scripts with v3 support
• Comparison report generator

3. Documentation

• docs/QUICKSTART.md — Reproduce results in 30 minutes
• docs/BENCHMARK_COMPARISON.md — Full 10-dataset analysis
• docs/VOCABULARY_NORMALIZATION_ANALYSIS.md — Research findings

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Quick Start

git clone https://github.com/chrbailey/aether.git
cd aether
pip install -e ".[dev]"
npm install && npm run build

# Train on Road Traffic Fine (150K cases)
python scripts/train_road_traffic.py

# Run benchmark — see +266% MCC improvement
python scripts/benchmark_road_traffic.py

See docs/QUICKSTART.md for detailed instructions.

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Breaking Changes

None. The vocabSize parameter is optional — existing code works unchanged.

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What's Changed

• feat(governance): Add v3 vocabulary-aware minimum floor
• docs: Update README with v3 benchmark results and add QUICKSTART.md
• 99 TypeScript tests, 303 Python tests

Full Changelog: v2.0.0...v3.0.0