What question did this study set out to answer?

This research aims to address inconsistency in AI web search responses by proposing a new observation model.

March 30, 2026Open Access

Observation Point in High-Dimensional Physics: A Zero-Point Anchored Model Beyond Time-Series — Experimental Resolution of AI Web Search Inconsistency

Key Points

This research aims to address inconsistency in AI web search responses by proposing a new observation model.
Proposed a zero-point anchored observation model independent of time.
Conducted experiments to validate the effectiveness of the model.
Examined the reduction of cache-dependent loops in AI systems.
Experimental validation confirmed the effectiveness of the zero-point anchored observation model.
The model effectively eliminated cache-dependent loops.
Direct access to the latest nodes was achieved.

Abstract

This paper investigates the phenomenon in which AI systems fail to immediately provide the latest information despite explicit user commands. We propose relocating the observation point to a zero-point axis independent of time. Experimental validation confirms that a zero-point anchored observation model eliminates cache-dependent loops and enables direct access to the latest nodes.

Observation Point in High-Dimensional Physics: A Zero-Point Anchored Model Beyond Time-Series — Experimental Resolution of AI Web Search Inconsistency

Key Points

Abstract

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