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Computing & AI · Source-linked note

B’MOJO: coupled fading and selected eidetic memory

Combined recurrent fading memory with a local attention window and innovation-selected stored tokens, expressing a family of hybrid state-space modules that can retrieve selected information beyond the recent context.

What is recorded here?

Combined recurrent fading memory with a local attention window and innovation-selected stored tokens, expressing a family of hybrid state-space modules that can retrieve selected information beyond the recent context.

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

Scientific scope

The framework's structural reductions do not guarantee optimal Solomonoff inference, lossless retention of every token or unlimited useful recall at fixed resources. Selection/storage/retrieval have costs; studied scale and length generalization are finite.

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People and systems

Luca Zancato; Arjun Seshadri; Yonatan Dukler; Aditya Golatkar; Yantao Shen; Benjamin Bowman; Matthew Trager; Alessandro Achille; 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

B’MOJO: coupled fading and selected eidetic memory

Combined recurrent fading memory with a local attention window and innovation-selected stored tokens, expressing a family of hybrid state-space modules that can retrieve selected information beyond the recent context.

Scientific scope

The framework's structural reductions do not guarantee optimal Solomonoff inference, lossless retention of every token or unlimited useful recall at fixed resources. Selection/storage/retrieval have costs; studied scale and length generalization are finite.

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

Luca Zancato; Arjun Seshadri; Yonatan Dukler; Aditya Golatkar; Yantao Shen; Benjamin Bowman; Matthew Trager; Alessandro Achille; 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