A two-layer CRDT architecture wraps any of 26 neural network merge strategies to deliver strong eventual consistency in distributed model merging.
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2 Pith papers cite this work. Polarity classification is still indexing.
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TVA defines a 'topological void' in a dense-sparse embedding space as a triad of concepts satisfying domain cohesion, calibrated marginality, sparse lexical bridging, and geodesic vacancy, yielding 191 reviewable invention candidates from a 140k-document corpus.
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Conflict-Free Replicated Data Types for Neural Network Model Merging: A Two-Layer Architecture Enabling CRDT-Compliant Model Merging Across 26 Strategies
A two-layer CRDT architecture wraps any of 26 neural network merge strategies to deliver strong eventual consistency in distributed model merging.
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Topological Void Analysis A Mathematical Framework for Systematic Technical Innovation Discovery in Knowledge Spaces
TVA defines a 'topological void' in a dense-sparse embedding space as a triad of concepts satisfying domain cohesion, calibrated marginality, sparse lexical bridging, and geodesic vacancy, yielding 191 reviewable invention candidates from a 140k-document corpus.