This workflow combines model extraction with deterministic scientific and capability checks, explicit clarification, and validated local patches that preserve unrelated accepted fields to study whether agents can reliably construct complete executable JSON specifications for automated geometry creation, meshing, PDE so...
This work evaluates two zero-trust frameworks under nominal execution, controlled failures, bounded recovery, and policy-constrained conditions, measuring verified completion, recovery, authorization enforcement, production promotion, and verified OLAP execution.
Graph-Grounded Harness (The authors') recovers an explicit graph of the drawing---its symbols, the process connections between them, and the tags that name them---and then requires the model to answer only by querying that graph through seven read-only operators, so a topology claim is returned only when it cites the q...
P. Gadekar, Sagar Srinivas Sakhinana, Venkataramana Runkana· 0 citations
This work presents an evidence-gated multi-agent framework for transforming a natural-language MLOps cloud engineering task into a verified repository and operational cloud deployment and results show that the framework prevents unsupported lifecycle transitions and drives each run toward either a verified operational...
The Hypergraph Adaptive waveLet Operator (HALO), which lifts the domain to a hypergraph and learns in its spectral wavelet domain, achieves best or near-best accuracy among frequency-, transformer-, DeepONet-, state-space-, and graph-based baselines and sustains stable multi-step rollouts.
R. Sarkar, Venkataramana Runkana, Souvik Chakraborty· 0 citations
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