AI Research & Provenance
Active Research Initiatives
Exploring mathematical claim verification, zero-hallucination bounds in structured B2B document extraction, and local LLM performance profiling.
Algorithmic Provenance
Zero-Hallucination Claim Verification
ResearchExperimental
Research Paper: Zero-Hallucination Boundaries in B2B Document Extraction
A technical benchmark evaluating structured JSON extraction precision across local Llama 3 models versus proprietary cloud APIs.
•99.4% precision on multi-page PDF line-item extraction
•Comparative benchmarking of Llama 3.1 8B vs 70B
•Zero-retention privacy protocols
ResearchActive
Evidence Score Matrix: Mathematical Provenance for LLM Outputs
Algorithmic framework for real-time verification of generated marketing release claims against git commit histories and pull requests.
•Automated PR cross-referencing
•Confidence thresholding & claim flagging
•Deterministic citation mapping