AI Research / Autonomous Research
Google Research article describing Science One Framework, an autonomous research prototype focused on verifiable AI-generated research through evidence chains and claim verification.
The page clearly presents an AI research product/framework with a concrete purpose: autonomous research that stays verifiable. The crawl includes enough detail to understand how it works, including literature grounding, parallel exploration, claim verification, and the CoE Audit. It is a substantive research page with specific mechanisms, benchmarks, and problem framing, making it useful for a public listing.
This is a research announcement rather than a product page, so a visitor still cannot tell whether the framework is available to try, open-sourced, or documented with implementation access. The crawl also does not show links to code, demos, or a dedicated usage guide.
Last evaluated 33 days ago. Current rank #1549. Down 1 spot in the rankings.
An autonomous research system that runs on a single workstation and aggressively checks its own claims with adversarial self-verification, replication, and calibration audits.
An MCP-based research agent that searches live web data through SQL and publishes reports with the full query and tool trajectory.
Uno is a research repository for speeding up LLM inference with discrete diffusion and lossless multi-token decoding. The repo includes inference, training, and evaluation code, plus installation steps, checkpoints, and example workflows.
An arXiv paper describing an open library of 163 procedural skills for research agents across 16 scientific areas, with versioned instruction files and accompanying reference material or runnable scripts.
