Paper Lantern – improving Autoresearch with research knowledge
Show HN: Paper Lantern – improving Autoresearch with research knowledge
Operating in show hn launch, Paper Lantern – improving Autoresearch with research knowledge operates.
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Hi, we've been working on Paper Lantern - an MCP server that searches 2M+ CS research papers for coding agents. The coding agent describes its problem and PL returns ranked techniques with implementation steps, hyperparameters, and failure modes.We tested it on Karpathy's autoresearch framework : where the task is to find better llm architecture and training configs. In autoresearch, the agent proposes an optimization, tries a 5 min training run, calculates the val loss and then keeps / discards if the val loss lowered / increased.We compared a strong baseline agent (Opus 4.6 + web search) vs that same agent + Paper Lantern. - agent + Paper Lantern iterated to a config that got a much lower
Within the show hn launch space, the company focuses on its core offering rather than a broad product line.
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| Sector | Show HN launch |
|---|---|
| Stage | Show HN launch |
Website: www.paperlantern.ai/code
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