Task 319 analysis: rule partially cracked (192/267)

Submission with Task 255 + Task 285 optimized (expected ~6050.61)

Update TODO: Task 255 ONNX complete (11.570 pts, +4.93 gain)

Submission with Task 255 optimized (expected +4.93 pts)

Task 255 optimized ONNX model (11.570 pts)

Task 255 ONNX builder (11.570 pts, 265/265 pass, 707 nodes, 677K memory)

Add Task 255 ONNX builder (11.570 pts, 265/265 pass)

Add ONNX build guide for Task 255

Update README.md with current progress

Update TODO.md with Task 255 progress and ONNX approach

Update NEXT_AGENT.md - Task 255 rule SOLVED, need ONNX build

Update LEARNING.md with Task 255 solution (265/265)

Task 255 solver: 265/265 PERFECT (all train+test+arc-gen pass)

Add Task 255 solver (265/265 pass) - rule fully cracked

NEXT_AGENT: exact fix identified for Task 255 cascading bug — use per-col/per-row result bounds not global core bounds

Update michaelhodel-arc-dsl.txt

Update LEARNING.md with confirmed Kaggle results and Task 255 findings

Update NEXT_AGENT.md: focus on Task 255 fix + ONNX build

Upload michaelhodel-arc-dsl.txt

Update TODO.md: Task 285 complete, Task 255 progress

Update all medal-solvers docs with current status: Task 285 done (+2.83), Task 255 at 99%, LB 6045.68

Update TASK255_ANALYSIS.md: rule 99% cracked (257/261), needs cascading extension fix for 4 edge cases

Add Task 255 analysis notes to LEARNING.md

Update build_task285_scatter.py: use official neurogolf_utils.py for validation and scoring (8.818 pts confirmed)

Delete task004.json

Delete task003.json

Delete task002.json

Upload actual build_task285_scatter.py (265/265 pass, score 8.61 vs 5.98 = +2.63pts)

Add Task 285 optimized model builder (ScatterElements approach, 265/265 pass, score 8.61 vs 5.98 original = +2.63 pts)

Create neurogolf_utils.py

Add swap_and_submit.py script for creating Kaggle submission zips

Update LEARNING.md with ScatterElements approach analysis for Task 285

Update NEXT_AGENT.md with detailed implementation instructions for the remaining fix

Update TODO.md with current progress

Update LEARNING.md with full Task 285 reverse-engineering and ONNX rebuild progress

Delete task001.json

Create medal-solvers/NEXT_AGENT.md

Create medal-solvers/TODO.md

Create medal-solvers documentation: LEARNING.md, TODO.md, NEXT_AGENT.md"

Create medal-solvers: target 6055.14 (bronze medal) by optimizing 6043 models

Remove failed/obsolete scripts and outdated docs

Update README.md: MANDATORY use of neurogolf_utils.py for all validation and scoring"

Fix merge_safe.py: use official neurogolf_utils.py for scoring + full validation with proper error logging

Fix merge_safe.py: remove ORT profiler (crashes on Kaggle), use static cost + full validation

Add merge_safe.py: full arc-gen validation + ORT profiler cost comparison

Fix: move channel_gather after color_map to prevent regression on tasks 16/337

Move wave23 solvers to position 2 (after identity, before everything else) for priority

Register wave23 solvers (row_gather, col_gather, channel_gather) in solver_registry

Add wave23: single-axis Gather solvers (row/col/channel remap, +71 pts)

Add V90 improvement plan with documented analysis