Cross-domain structural pattern
Latent assumptions in reasoning traces are converted into structured action space through decision tree mapping. Each tree path encodes environment assumptions (internal nodes) linked to action sequences (leaves), scored by scenario likelihood, goal utility, and execution cost. Uncertainty is handled by exploring assumption-action mappings rather than eliminating uncertainty through communication, transforming fragmented beliefs into rational action selection.
view paper→Proteome-metabolome dynamics are modeled as continuous interplay via Neural ODEs. Rather than requiring pre-specified mechanistic knowledge, NODEs infer latent interaction structure directly from time-series multiomics data. Learned continuous dynamics enable simulation of temporal trajectories and anticipation of intervention effects, capturing complex feedback between protein expression and metabolite concentrations without manually encoding pathway topology.
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