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Epic #324: first-class MLX and reference-faithful fitting - #364

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neuromechanist merged 27 commits into

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feature/issue-324-epic-mlx-first-class

Sep 24, 2026

Commits on Sep 22, 2026
Commits on Sep 23, 2026
- Phase 5: guard raw backend accessors (#329)
  neuromechanist
  authored
  2871656
- Phase 4: backend selection in AMICA and AMICAICA (#330)
  neuromechanist
  authored
  4324333
- Add phases 7-9 to epic #324 plan
  neuromechanist
  committed
  fb13d76
- Phase 6: end-to-end validation across backends (#332)
  
  neuromechanist
  and
  github-actions[bot]
  authored
  e38aa11
- Rebuild paper.pdf
  github-actions[bot]
  committed
  aa15e55
- Phase 10: write the sphere column-major (#337)
  neuromechanist
  authored
  353a748
- Phase 7: normalize component rows in doscaling (#340)
  
  neuromechanist
  and
  github-actions[bot]
  authored
  3627a6e
- Phase 9: align iteration-schedule gates with the reference (#338)
  
  neuromechanist
  and
  github-actions[bot]
  authored
  0930c0e
- Phase 8: store components as rows and fix sharing (#342)
  neuromechanist
  authored
  5b6ae4f
- Phase 14: reject unknown NumPy options (#347)
  neuromechanist
  authored
  724c391
- Phase 11: follow the reference's iteration order (#348)
  neuromechanist
  authored
  027cb07
- Phase 13: use the reference's single-precision constants (#349)
  neuromechanist
  authored
  0138a71
- Phase 12: normalize the drawn initial mixing matrix (#350)
  neuromechanist
  authored
  09b8247
- Phase 16: audit the documentation against the epic (#353)
  
  neuromechanist
  and
  github-actions[bot]
  authored
  3fbe1ab
- Rebuild paper.pdf
  github-actions[bot]
  committed
  24244b7
Commits on Sep 24, 2026
- Phase 17: unify the defaults across entry points (#355)
  neuromechanist
  authored
  bb22df6
- Phase 15: re-measure parity under the finished epic (#356)
  
  neuromechanist
  and
  github-actions[bot]
  authored
  880d71d
- Rebuild paper.pdf
  github-actions[bot]
  committed
  410b71b
- Credit the Research Skills plugins in the paper's AI disclosure
  neuromechanist
  committed
  3868459
- Skip the Python CI jobs when no code changes
  neuromechanist
  committed
  4d684dd
- Add changelog entries for the paper credit and CI filters
  neuromechanist
  committed
  f8eb0ed
- Name the project plugin's design workflow and link Research Skills
  neuromechanist
  committed
  15b53be
- Match the Research Skills citation to its CITATION.cff
  neuromechanist
  committed
  0cf978f

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Epic #324: first-class MLX and reference-faithful fitting - #364

Epic #324: first-class MLX and reference-faithful fitting#364
neuromechanist merged 27 commits into
devfrom
feature/issue-324-epic-mlx-first-class

Commits on Sep 22, 2026

Add epic #324 plan of record

Phase 1: shared pcakeep/pcadb policy and MLX support (#326)

Phase 3: shared params-file reader for every backend (#327)

Merge dev into epic #324 (PR #325 residual restoration)

Commits on Sep 23, 2026

Phase 5: guard raw backend accessors (#329)

Phase 4: backend selection in AMICA and AMICAICA (#330)

Add phases 7-9 to epic #324 plan

Phase 6: end-to-end validation across backends (#332)

Rebuild paper.pdf

Phase 10: write the sphere column-major (#337)

Phase 7: normalize component rows in doscaling (#340)

Phase 9: align iteration-schedule gates with the reference (#338)

Phase 8: store components as rows and fix sharing (#342)

Phase 14: reject unknown NumPy options (#347)

Phase 11: follow the reference's iteration order (#348)

Phase 13: use the reference's single-precision constants (#349)

Phase 12: normalize the drawn initial mixing matrix (#350)

Phase 16: audit the documentation against the epic (#353)

Rebuild paper.pdf

Commits on Sep 24, 2026

Phase 17: unify the defaults across entry points (#355)

Phase 15: re-measure parity under the finished epic (#356)

Rebuild paper.pdf

Credit the Research Skills plugins in the paper's AI disclosure

Skip the Python CI jobs when no code changes

Add changelog entries for the paper credit and CI filters

Name the project plugin's design workflow and link Research Skills

Match the Research Skills citation to its CITATION.cff