Procedural data generators suite for synthetic pretraining and formal reasoning

Context & Guide For Reinforcement Learning with Verifiable Rewards with Large Language Models

Score the trustworthiness of outputs from any LLM in real-time

Open Arena: SLM verifiers across observability platforms, dataset and model catalogs, and value scenarios for LLM, agentic and harness evals.

Verifiers hello world repo

Prime-RL / verifiers TSP environment (10-city hard config, lenient parser, eval-ready)

A verifiers RLM environment for testing whether adaptive recursive search outperforms brittle manual RAG choreography on long synthetic corpora.

A verifiers RL environment that trains models to propose novel, evidence-grounded, falsifiable hypotheses. Rewards novelty with accountability.

Snapshot your AI agent's world to OTel span events. Scrub the timeline, diff between runs.

Typed asset shapes + visual + headless views for AI agents. One asset definition. Three rendering targets (HTML / Markdown / Text).