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This paper introduces the Agentic Publication Protocol (APP), a format that packages scientific papers with code, data, and agent instructions to improve reproducibility and allow AI agents to interact with and build upon published research.
This survey provides a systems-level analysis of LLM-based scientific peer review, covering methods, benchmarks, and reliability challenges including robustness risks like prompt injection and data poisoning.