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    ERAIS technical claim

    research.sparse_attention_quality.v1

    Does sparse attention preserve quality?

    Evidence maturity: BlockedSource-pinned record

    Reviewed · neuroforge-io/erais

    The wording and state below belong to this source snapshot. Related current context is separate from the recorded claim.

    Approved wording · 12 July 2026

    What the record says.

    Sparse-attention quality remains under evaluation.

    Required evidence

    • Fix candidate budgeting, verify anchor and landmark participation, run matched long-context tasks and general benchmarks, and close latency, memory, and quality statistics.

    Do not infer

    • Do not infer long-range retention from selector names or theoretical sparsity.

    Continue in context

    Related work.

    Explore the current context. It does not update this recorded claim.

    Inspect the quality gates

    Read the state together with its scope and evidence requirements. Commercial availability and technical maturity are separate decisions.

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