v0.3.0 — MetaClaw Integration, CodeAgent v2, 50+ Bug Fixes

What's New in v0.3.0

MetaClaw Cross-Run Learning Integration

• New researchclaw/metaclaw_bridge/ module: skill injection, lesson-to-skill conversion, PRM quality gates, session lifecycle management
• Pipeline failures → structured lessons → reusable skills, injected into all 23 stages
• +18.3% pipeline robustness in controlled experiments
• Opt-in via metaclaw_bridge.enabled: true, fully backward-compatible

CodeAgent v2 — Enhanced Code Generation

• Enhanced Blueprint: deep implementation specs with per-file pseudocode, tensor shapes, generation order
• Sequential File Generation: dependency-ordered with AST-based CodeMem
• Hard Validation Gates: block identical ablations, hardcoded metrics, cross-file import errors
• Targeted Error Repair: parse traceback to fix surgically instead of full regeneration

BenchmarkAgent & FigureAgent Improvements

• BenchmarkAgent: domain-aware benchmarks, import validation, pretrained resize
• FigureAgent: LLM output type safety, Paul Tol colorblind-safe palette, heatmap/ablation chart types
• visualize.py full rewrite: academic styling, 300 DPI, 6 enhanced chart types

50+ Pipeline Bug Fixes (BUG-06 through BUG-51)

• Metric direction, citation verify, CodeGen guard, condition drift, RL stability
• BST ordering, raw metrics, bracket citations, arXiv categories
• Docker HF permission, KD stability, ablation detection
• references.bib fallback generation, ICML LaTeX template fix

Paper Quality Hardening (4 Rounds)

• Post-compilation quality checks, weasel/duplicate word lint, NeurIPS checklist
• LaTeX escaping, 7-dim AI-Scientist-style review, AI-slop detection (50+ phrase blocklist)
• Related work depth checker, stats rigor validator, anti-boilerplate prompts
• Cross-discipline support for 7 domains

Docker Sandbox & Infrastructure

• Network-policy-aware code generation & sandbox execution
• Rate-limit defense for literature search APIs (OpenAlex → Semantic Scholar → arXiv cascade)

Full Changelog: v0.2.0...v0.3.0