Inheritance as an Admission Test for LLM Prompt Merge Operators
Large language model (LLM) agents are often improved by iterating until a fixed verifier is done.
ProofPaper ↗
Key points
- A merge is admitted only when the child moves toward the donor, past the child the same operator produces at zero dose, and the lower confidence bound on that movement reaches half the requested dose.
- Constrained rewrite is admitted in the open loop and was not run in the closed loop, which changes only the operator.
- Every tactic-append run and every template-append run does.
- Sampled loop children keep that split.
Sources (1)
- [1]Inheritance as an Admission Test for LLM Prompt Merge OperatorsarXiv (AI, ML, NLP, CV, robotics, multi-agent) · Oct 21, 12:56 AM
Large language model (LLM) agents are often improved by iterating until a fixed verifier is done.
A merge is admitted only when the child moves toward the donor, past the child the same operator produces at zero dose, and the lower confidence bound on that movement reaches half the requested dose.
Extractive summary: sentences quoted from the sources.
Before this
- Oct 20, 2026Voxtral 3
- Oct 20, 2026[AINews] DeepSeek DeepInfer: Open Source SOTA Inference running 155T toks/day/cluster making $22m/day at ~80% margin for a 81 day payback
- Oct 20, 2026Exa 3.0 Search API Tops Perplexity, Brave and Parallel on 8 Benchmarks
- Oct 20, 2026Do Diffusion LLMs Scale? Testing Mercury 3 + Decide
- Oct 20, 2026Cache Engineering for Agents
- Oct 19, 2026MiniMax M3.1 Flash shows China's AI price race has no floor in sight