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AI Papers

Blurs: Utility-Guided Hierarchical Memory for Language Model Agents

Ahmet Kamil Dokumaci · Independent Researcher · September 2026

A research proposal for overlapping, hierarchical memory that revises its structure according to task utility while preserving supporting evidence, corrections, and exceptions. The paper specifies memory operations, resource limits, and a falsifiable evaluation protocol. Empirical validation remains future work.

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From the blur directory, run:

pdflatex -interaction=nonstopmode -halt-on-error blur.tex
pdflatex -interaction=nonstopmode -halt-on-error blur.tex

The source is self-contained: its diagram uses TikZ and its bibliography is included. Use a current TeX Live installation with newtx, tikz, microtype, booktabs, tabularx, titlesec, needspace, and hyperref.

Earlier versions of the paper are available in Git history.

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