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GML part M5: layers and architectures share one method per Q/P pair, Bool choice and triangle
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Oct 21, 2026
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GML part M5: one functor per layer family, the Bool keywords as type parameters, and the MHA head keys built once
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GML part M5: one functor per layer family, the Bool keywords as type parameters, and the MHA head keys built once
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GML part M5: one functor per layer family, the Bool keywords as type parameters, and the MHA head keys built once
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GML part M5: one functor per layer family, the Bool keywords as type parameters, and the MHA head keys built once
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GML part M5: one functor per layer family, the Bool keywords as type parameters, and the MHA head keys built once
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GML part M5: one functor per layer family, the Bool keywords as type parameters, and the MHA head keys built once
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Update KernelAbstractions requirement from 0.9 to 0.9, 0.10
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GML part M4: one row-pivoted Cayley kernel at every sequence length, with the closed forms for N = 2 to 5 kept
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GML part M4: one row-pivoted Cayley kernel at every sequence length, with the closed forms for N = 2 to 5 kept
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GML part M2: DataLoader samples against trajectories, one count and one gather
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Oct 16, 2026
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GML part M2: DataLoader samples against trajectories, one count and one gather
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GML part M2: DataLoader samples against trajectories, one count and one gather
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Products through GEMM: one _mul, slicing assign_q_and_p, zero and other-precision seeds in the kernel rrules (part M3)
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Products through GEMM: one _mul, slicing assign_q_and_p, zero and other-precision seeds in the kernel rrules (part M3)
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Losses and pullbacks: one default loss, one pullback shape, and the symbolic HNN gradient (B5)
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Oct 15, 2026
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Losses and pullbacks: one default loss, one pullback shape, and the symbolic HNN gradient (B5)
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Losses and pullbacks: one default loss, one pullback shape, and the symbolic HNN gradient (B5)
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Oct 14, 2026
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Update AbstractNeuralNetworks requirement from 0.8 to 0.8, 0.9
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Oct 13, 2026
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Update GeometricBase requirement from 0.14 to 0.14, 0.15
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Oct 13, 2026
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Train on GeometricOptimizers 0.9: NetworkOptimizer and train! (part M1a)
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Oct 12, 2026
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Train on GeometricOptimizers 0.9: NetworkOptimizer and train! (part M1a)
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Oct 12, 2026
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Move the top-level test files that mirror no source file
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Oct 9, 2026
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Move the doctests into their own test group
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Oct 9, 2026
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Orientation convention: which sign does ∮p⋅dq carry under Ω = 𝕁ᵀ?
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Oct 9, 2026
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