DeepInfer 已提供批次不变与确定性采样能力，但生产验收仍要写清比较对象、环境边界、证据强度和性能代价。
DeepInfer makes determinism a testable inference feature. Audit batch invariance, seed conditions, hardware scope, and serving gaps before deployment.
OpenAI 的低资源编程语言评测把问题从代码翻译推进到行为保留。生产迁移还需覆盖依赖、故障、影子运行、切流和回滚。
Legacy code migration evals must test behavioral equivalence, dependencies, failure modes, and rollback. OpenAI's new benchmarks are a starting point.
HybridAgent 报告更高质量、更少 Token 和更快推理。采用前要用因果审计拆开潜空间、训练、Harness 与基准效应。
HybridAgent reports higher quality and faster inference. A causal audit separates latent thinking from training, harness, and benchmark effects.
Claude 优化了八类量子电路任务。本文用成本与验证账本拆开 TQ 收益、失败预算、搜索成本、硬件映射和复现状态。
Claude improved eight quantum circuit tasks. A cost-to-verification ledger shows what TQ gains prove, where costs move, and reproduction gaps.
Claude 将 NIST 曲线 seed 追溯到时间戳驱动的 lrand48。本文用五级证据栈拆开可复算机制、历史归因与作者意图。
Claude traced NIST curve seeds to lrand48 timestamps. This evidence audit separates reproducible mechanism, historical attribution, and intent.
