paper2-hcma-acm
Year: 2026
Type: preprint
Abstract: HCMA-ACM (paper 2): integrates HCMA (Hippocampal-Cortical Memory Architecture) as the governed long-term memory of an agentic context management (ACM) agent. ACM losslessly offloads context but preserves superseded versions of facts; HCMA consolidates them through bi-temporality, negative voting, and version collapse, so retrieval returns only the current version. On a controlled benchmark of superseding API specifications, HCMA reduces stale-value use from 100% to 0% (Llama-3.1-8B) and from 20% to 0% (GPT-4o-mini), lifting task success from 0% to 100% and 80% to 100%, respectively.
Source: OSF Preprints (OSF Preprints)
Author: Mauro Javier Silva
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7224541397
