Premchan369/Q-TensorFormer

fix(config): Align configuration API with canonical ModelConfig fields and document checkpoint provenance

docs: Hardening claims, provenance tags, and research-grade documentation alignment

feat: Harden research system with hierarchical KV, phase profiling, matched budgets, and counterfactual validation

feat(benchmarks): Add comprehensive baseline comparison system with 14 architectures, 17 metrics, Pareto frontiers, and provenance tags

feat(research): Turn Q-TensorFormer into a verified research system with LFS figure assets

docs(metrics): add quantitative percentage improvement breakdown (%) vs baselines and dashboard KPI cards

feat(benchmarks): add comprehensive 11-model baseline comparison study, interactive dashboard table, and publication-grade docs

Implement top-tier research features: PID Dual Controller, GQA, Roofline Analyzer, Early-Exit, Meyer-Wallach Entanglement, and Interactive Visual Dashboard

Enhance README.md with comprehensive LaTeX equations and theoretical CMDP formulation

Transform Q-TensorFormer into an Information-Value Adaptive Resource Allocation Architecture

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Add plain-English explanation and 8 detailed real-world application examples

Complete model card rewrite: brief overview + comprehensive technical documentation

Update MODEL_CARD: Add K2 Think v2 integration section, explainable AI features

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v3.0.0: Scripts

v3.0.0: Configs

v3.0.0: Tests

v3.0.0: Source files

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