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Harshil Lodhiya

SlicedHealth, Inc.

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Open access Aug 2026

EVENTFORGE: OPTIMIZABLE EVENT SCHEMA INDUCTION WITH HYBRID RAG+KG STORAGE

This paper presents EventForge, an open-source system that reframes schema induction as typed DSPy programs and co-locates the induced knowledge graph with a hierarchical dense-retrieval index in a single PostgreSQL/pgvector substrate.

Harshil Lodhiya · 1 citation
#artificial intelligence Preprint Aug 2026

Agentic Governance and Adversarial Verification for Policy-Constrained LLM Healthcare Appeal Generation

AGVF (Agentic Governance and Adversarial Verification Framework) is proposed, a multi-agent architecture for medical-necessity appeal generation under explicit policy and evidence constraints and contributes a theory-backed agentic architecture and verified reference implementation for policy-constrained LLM generation...

Harshil Lodhiya, Alex McManus, Reese Walker · 0 citations
Preprint Aug 2026

ER-KANs: Efficient and Robust Kolmogorov-Arnold Networks for Data-Scarce Scientific Machine Learning

The efficient-KAN literature---covering Chebyshev, wavelet, and radial-basis-function variants of the original Kolmogorov-Arnold Network---has been benchmarked almost entirely on clean data. We show that this choice conceals a large capability difference between architectures: ChebyKAN's test MSE (evaluated against cle...

Harshil Lodhiya · 1 citation
Open access Jul 2026

Schema-Aware Query Translation and Tabular Reasoning for Enterprise Databases

Schema-Aware Query Translation and Tabular Reasoning for Enterprise Databases aka Inference-from-RDBMS is presented, an open-source framework designed for schema-aware query translation, dynamic context pruning, and execution-guided tabular inference over complex RDBMS structures.

Harshil Lodhiya · 0 citations
Open access Jul 2026

LLM-Advisor: Dynamic Model Selection and Query Routing in Heterogeneous Multi-LLM Architectures

LLM-Advisor is introduced, an open-source, adaptive framework designed for intelligent query categorization, dynamic model evaluation, and constraint-aware request routing across heterogeneous multi-LLM pools that achieves a 42% reduction in overall inference expenditure and a 35% decrease in average response latency.

Harshil Lodhiya · 0 citations

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