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S. Duggal

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#artificial intelligence Preprint Sep 2026

Concept-Grounded Attention: A Controlled Evaluation of Graph-Injected Attention, Temporal Versioning, and Epistemic Status

Knowledge-intensive language-model systems typically represent external knowledge as text chunks or static graphs, with limited support for concept evolution, point-in-time reasoning, and distinctions between validated and inferred knowledge. We introduce the Concept Lifecycle Model (CLM), which represents concepts as...

S. Duggal, Pradyumna Swarnalatha Ramanna, Alexandros Vassiliades · 0 citations
#artificial intelligence Preprint Jul 2026

Atomic Units of X: The Compression Layer of Intelligence

This paper proposes a theoretical and empirical framework for understanding intelligence as a process of atomic compression and compositional reuse, and develops a representational account of the meaning gap in contemporary generative systems.

S. Duggal, Pradyumna Swarnalatha Ramanna, Alexandros Vassiliades · 0 citations

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