PRISM: An Observation Layer for Agentic and Long-Running Computational Systems
Year: 2026
Type: preprint
Abstract: PRISM introduces an Observation Layer positioned before the expensive controller in agentic and long-running computational systems. Semantic projection and temporal event selection transform process and log history into decision-facing events. The manuscript separates authoritative system success, controller decision fidelity, and optional controller self-report, and reports conditional efficiency effects within the tested scope. It distinguishes the primary M4 Max experiment and clean-v6 long-inference replay from secondary panels and cross-platform replay/live replication. This record contains the authoritative manuscript PDF and citation/documentation materials. It does not distribute source code or experimental provenance artifacts.
Author: Park, Junhu
Language: English
Subfield: Computer Networks and Communications
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7212127656
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