PhilArchive
open access
The Core-Modulation Architecture (CMA): A Structural Overview of Hallucination as Structural Mismatch
Hallucination is defined not as factual error but as a structural failure of alignment across target, layer, and constraint. Within the Core-Modulation Architecture (CMA), cognition proceeds through layered processing and requires layer-specific termination conditions. Hallucination arises when Modulation-level termination is registered as completion while Core-level resolution has not occurred, producing structurally ungrounded but locally coherent outputs. Detection is therefore structural rather than content-based, focusing on layer mismatch and termination failure. This document presents a minimal structural account of hallucination within the CMA framework.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Semantic Head Specialization Guides Hybrid ViT Attention for Multimodal LLMs#792394
- Semantic Head Specialization Guides Hybrid ViT Attention for Multimodal LLMs#788394
- Domain-Specific Hallucination Detection in Large Language Models#999557
- The Structural Map of the Upstream Architecture#706280
- Through the Magnifying Glass: Adaptive Perception Magnification for Hallucination-Free VLM Decoding#128355
Record · ID 122437
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive