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PICASO: composing precomputed SSM context states

Stored precomputed context states and transition factors, composed them algebraically and averaged compositions over permutations or cyclic rotations to reduce online context-processing costs.

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Stored precomputed context states and transition factors, composed them algebraically and averaged compositions over permutations or cyclic rotations to reduce online context-processing costs.

Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.

Scientific scope

Concatenation identity is exact for the stated single-layer input-dependent linear dynamics, not general stacked nonlinear SSMs. Full-permutation formulas require commuting transitions; cyclic averaging is not full permutation invariance. Multilayer use is approximate; offline preprocessing/storage and retrieval costs remain. The strongest quality/speed comparisons are source-reported on selected datasets.

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People and systems

Tian Yu Liu; Alessandro Achille; Matthew Trager; Aditya Golatkar; Luca Zancato; Stefano Soatto

Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.

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English catalogue narrative

PICASO: composing precomputed SSM context states

Stored precomputed context states and transition factors, composed them algebraically and averaged compositions over permutations or cyclic rotations to reduce online context-processing costs.

Scientific scope

Concatenation identity is exact for the stated single-layer input-dependent linear dynamics, not general stacked nonlinear SSMs. Full-permutation formulas require commuting transitions; cyclic averaging is not full permutation invariance. Multilayer use is approximate; offline preprocessing/storage and retrieval costs remain. The strongest quality/speed comparisons are source-reported on selected datasets.

Reading status

This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.

People and systems

Tian Yu Liu; Alessandro Achille; Matthew Trager; Aditya Golatkar; Luca Zancato; Stefano Soatto

Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.

Original sources