Introduces a diagonal isolated-pole spectral ansatz that reduces the IAV cross section to per-pole DWBA terms in the resonant limit, identifying the PWIA-THM formula as a non-perturbative approximation under plane-wave, zero-range, on-shell, and remnant-neglect conditions.
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Evo-Memory is a new streaming benchmark and evaluation framework for self-evolving memory in LLM agents, unifying over ten memory modules and introducing the ReMem pipeline for continual improvement on multi-turn and reasoning datasets.
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A self-consistent spectral framework for inclusive non-elastic breakup, with the Trojan Horse method as the sub-Coulomb resonant limit
Introduces a diagonal isolated-pole spectral ansatz that reduces the IAV cross section to per-pole DWBA terms in the resonant limit, identifying the PWIA-THM formula as a non-perturbative approximation under plane-wave, zero-range, on-shell, and remnant-neglect conditions.
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Evo-Memory: Benchmarking LLM Agent Test-time Learning with Self-Evolving Memory
Evo-Memory is a new streaming benchmark and evaluation framework for self-evolving memory in LLM agents, unifying over ten memory modules and introducing the ReMem pipeline for continual improvement on multi-turn and reasoning datasets.