v4.0.0 — Research Communication
What's new in v4.0.0
The v4.0 milestone. The roadmap is complete.
Turing goes from research tool to research-to-communication pipeline. Every result becomes a shareable artifact — citations tracked, presentations generated, progress communicated. With all 25 phases implemented across 72 features, Turing is a complete autonomous ML research harness from first hypothesis to final presentation.
/turing:cite — Citation & Attribution Manager
Track which papers, codebases, datasets, and methods influenced each experiment. Add citations with DOI/arXiv links, audit for missing attributions (scans experiment configs against 22 common ML methods), and generate BibTeX. Stored in experiments/citations.yaml.
/turing:present — Presentation Figure Generation
Generate presentation-ready figure specifications from experiment data: training curves with best-so-far trajectory, model family comparison bars, ablation delta tables, Pareto scatter with frontier line, and sensitivity heatmaps. Three style presets (light/dark/poster) with customizable palettes. Output as structured JSON specs in paper/figures/.
/turing:changelog — Model Changelog Generation
Auto-generate a human-readable changelog from experiment history. Detects version boundaries (significant metric jumps), groups improvements within each version, and formats as narrative with deltas. Two audiences: technical (experiment IDs, configs) and stakeholder (plain English, percentages, no jargon). Output to paper/CHANGELOG.md.
The Complete Journey: v1.0.0 → v4.0.0
| Version | Phase | Commands |
|---|---|---|
| v1.0.0 | 1–9: Core loop, hypotheses, novelty, statistics, families, tree-search | 14 |
| v1.3.0 | 10: Statistical rigor (seed, reproduce) | 19 |
| v1.4.0 | 11: Experiment intelligence (diagnose, ablate, frontier) | 22 |
| v1.5.0 | 12: Performance (profile, checkpoint) | 24 |
| v2.0.0 | 13: Deployment bridge (export) | 25 |
| v2.1.0 | 14: Research workflow (lit, paper) | 27 |
| v2.2.0 | 15: Orchestration (queue, retry, fork) | 30 |
| v2.3.0 | 16: Deep analysis (diff, watch, regress) | 33 |
| v2.4.0 | 17: Model composition (ensemble, stitch, warm) | 36 |
| v2.5.0 | 18: Scaling & efficiency (scale, budget, distill) | 39 |
| v3.0.0 | 19: Meta-intelligence (transfer, audit) | 41 |
| v3.1.0 | 20: Pre-training intelligence (sanity, baseline, leak) | 44 |
| v3.2.0 | 21: Model debugging (xray, sensitivity, calibrate) | 47 |
| v3.3.0 | 22: Feature & training intelligence (feature, curriculum) | 49 |
| v3.4.0 | 23: Model surgery (prune, quantize, merge, surgery) | 53 |
| v3.5.0 | 24: Experiment archaeology (trend, flashback, archive, annotate, search, template, replay) | 60 |
| v4.0.0 | 25: Research communication (cite, present, changelog) | 63 |
Numbers
| Metric | v1.0.0 | v4.0.0 | Growth |
|---|---|---|---|
| Tests | 257 | 1566 | +1309 (6.1x) |
| Commands | 14 | 63 | +49 (4.5x) |
| Scripts | 23 | 82 | +59 (3.6x) |
| Phases | 9 | 25 | +16 |
| Versions | 1 | 17 | +16 |
Full changelog
feat:citation_manager.py — citation tracking with add/list/check/bib, BibTeX generationfeat:generate_figures.py — presentation figure specs for 5 chart types with 3 stylesfeat:generate_changelog.py — model changelog with version detection and audience adaptationfeat:/turing:cite, /turing:present, /turing:changelog command skillstest:19 new tests across 3 test filesdocs:All 72 roadmap items marked DONE