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      "statement": "# B’MOJO: coupled fading and selected eidetic memory\n\nCombined 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.\n\n## Scientific scope\n\nThe 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.\n\n## Reading status\n\nThis 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.\n\n## People and systems\n\nLuca Zancato; Arjun Seshadri; Yonatan Dukler; Aditya Golatkar; Yantao Shen; Benjamin Bowman; Matthew Trager; Alessandro Achille; Stefano Soatto\n\nSource-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.\n\n\n\n## Original sources\n\n- [B’MOJO: Hybrid State Space Realizations of Foundation Models with Eidetic and Fading Memory](https://cdn.amazon.science/6a/46/29da966b4161a7dcb7dc459beb16/bmojo-hybrid-state-space-realizations-of-foundation-models-with-eidetic-and-fading-memory.pdf)\n- [B'MOJO: Hybrid State Space Realizations of Foundation Models with Eidetic and Fading Memory](https://arxiv.org/abs/2407.06324v1)\n",
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