A content intake routing skill for deciding when humans should read, agents should process, or both should co-read.
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Updated
Jun 17, 2026
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information-routing
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Investigating how formal constraints reorganize the internal routing geometry of Transformer attention graphs across model families.
pytorch graph-theory computational-linguistics interpretability ricci-curvature logical-reasoning forman-curvature causal-graphs large-language-models transformer-attention mechanistic-interpretability network-geometry information-routing
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Updated
Apr 1, 2026 - Python
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