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V. Ramesh

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Review Jul 2026

Can an AI Assistant Really Forget? Auditable Deletion from Addressable Memory

Excluding an exchange's own rows therefore provides a way to edit and audit conversation memory, while leaving a measurable difference from rebuilding it without that exchange, as well as evaluating separately for each record.

V. Ramesh · 4 citations
#machine learning Preprint Jul 2026

Forgetful Attention: An Auditable Support-Vector Memory for Selective Retention and Verified Deletion

Auditable memory requires a precise contract: which output is preserved, relative to which reference solve, and across which updates. We introduce Support Vector Attention (SV-Attention), a one-class support vector data description (SVDD) gate whose coefficients enter the readout. Zero-coefficient keys are reserve; pos...

V. Ramesh · 1 citation
2026

Forgetful Attention: A Trainable Support-Vector Memory with Certified Selection and Exact Unlearning

Support Vector Attention is introduced, a max-margin memory whose weights are support coefficients of a one-class SVM with fixed box parameter C that certifying output-preserving eviction and demonstrating surgical forgetting, exact editing, patient-record deletion, and a forgettable retrieval memory over real sentence...

V. Ramesh · 0 citations

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