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        <identifier>oai:lifeofresearch.com:8</identifier>
        <datestamp>2026-09-22T17:33:43Z</datestamp>
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        <dc:title>Memory Architectures Beyond Attention: Disambiguating Four Memory Concepts and the Long-Context Reasoning Frontier</dc:title>
        <dc:creator>Pranay Mahendrakar</dc:creator>
        <dc:description>State-space models did not merely &quot;open a door&quot; beyond attention; they walked through it. Mamba, Mamba-2, Samba,
Jamba, Granite 4, Hymba, and a growing family of hybrid attention-SSM architectures are now in production language models,
demonstrating that linear-time alternatives to attention can match transformers on language modelling at competitive scales.
The simultaneous expansion of pure-attention context windows — Gemini 1.5 and successors handling up to 10 million tokens
with near-perfect needle-in-haystack recall — has changed the empirical landscape that motivated SSM research in the first
place. The popular framing of &quot;memory architectures beyond attention&quot; has not kept up with this. This paper makes three
claims. First, the word &quot;memory&quot; in the long-context discussion conflates four distinct concepts — architectural state, context
window, external retrieval, and persistent agent memory — each with different scaling properties and different research
questions. Second, the empirical picture is more nuanced than either the SSM-replaces-attention or the attention-is-enough
framings: SSMs win on very long passive recall and inference efficiency, transformers win on complex reasoning, hybrids win
in deployment, and the choice between them is task-dependent. Third, the genuine open frontier is reasoning at long context
— not retrieval, which is largely solved — and benchmarks like MathHay (51% accuracy at 128K tokens for Gemini-1.5-Pro)
make the gap quantitatively visible. We propose a research agenda focused on architecture-task fit, hierarchical multi-scale
memory, and reasoning-aware long-context evaluation.</dc:description>
        <dc:publisher>Life of Research</dc:publisher>
        <dc:date>2026-04-28</dc:date>
        <dc:type>info:eu-repo/semantics/article</dc:type>
        <dc:identifier>https://lifeofresearch.com/articles/8</dc:identifier>
        <dc:identifier>https://doi.org/10.5281/zenodo.19855022</dc:identifier>
        <dc:language>eng</dc:language>
        <dc:relation>https://lifeofresearch.com/articles/8/files/8/Memory_Architectures_Beyond_Attention_Mahendrakar.pdf</dc:relation>
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        <dc:rights>https://creativecommons.org/licenses/by/4.0/</dc:rights>
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