Update README.md for v5 refactored package

v5 refactor: add main.py entry point (with W&B init)

v5 refactor: add submission.py (with W&B logging)

v5 refactor: add solvers/conv.py (with lstsq crash fix)

v5 refactor: add solvers/solver_registry.py

v5 refactor: add solvers/tiling.py

v5 refactor: add solvers/__init__.py

v5 refactor: add solvers/analytical.py

v5 refactor: add solvers/geometric.py

v5 refactor: add onnx_helpers.py

v5 refactor: add gather_helpers.py

v5 refactor: add profiler.py

v5 refactor: add data_loader.py

v5 refactor: add validators.py

v5 refactor: create package __init__.py

v5 refactor: add config.py

v5 refactor: add constants.py

Put W&B code back into run_task

Fix ReduceSum axes for opset 17 (axes must be tensor input, not attribute)

Phase 1: Opset 17 switch — Slice-based flip/rotate, tensor-based Pad, IR=8

Update neurogolf_solver.py

v4.3: Update LEARNING.md with closed-loop methodology, separated competitive intelligence from user strategy, updated version history

v4.3: Update SKILL.md with closed-loop methodology, development rules, updated status

v4.3: Update TODO.md with experiment queue, research loop, status key, explicit blending exclusion

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Upload LEARNING.md with huggingface_hub

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Delete neurogolf_solver_v5.py

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Delete simple-onnx-processing-tools-README.md

Add benign overfitting theory, double descent, LOOCV Ridge tuning, condition number diagnostics (2026-04-25)

Add lstsq conv research: Ridge regularization, stride_tricks, benign overfitting theory (2026-04-25)

Create simple-onnx-processing-tools-README.md

Replace TODO with roadmap (2026-04-25)

Add deep competitive analysis from notebook dissection (2026-04-25)

Update LEARNING.md: PyTorch conv results, lstsq overfitting analysis

v4.2: Add PyTorch learned conv solver (single+two-layer, multi-seed, ternary snap). Needs GPU to be practical - use on Kaggle with --conv_budget 60

Add LEARNING.md - full history, mistakes log, competitive intel, technical deep-dives

Split SKILL.md (rules/quick-ref) + LEARNING.md (history/mistakes/analysis)

v4.1: color_map via channel Gather for permutation maps (+15 pts), fix non-permutation fallback to Conv 1x1

v4: ARC-GEN validation + fitting, new analytical solvers (shift/mirror/crop/quad), s_flip opset fix, static profiler, submission.csv

v4: ARC-GEN validation, new analytical solvers, static profiler, s_flip opset fix

Add SKILL.md - complete knowledge base for NeuroGolf solver

Create ARC-GEN-README.md

Create skill-creator.md

Update README.md

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