CoReMem: Cost-Internalizing Memory for Successive Coding Tasks with Prospective Valuation

Title: CoReMem: Cost-Internalizing Memory for Successive Coding Tasks with Prospective Valuation CoReMem: Cost-Internalizing Memory for Successive Coding Tasks with Prospective Valuation

Authors: Peiwen Li, Harshit Verma, Sophia Zhou arXiv: 2611.17316v1

△ 辩证三角

📜 正题

Coding agents tackle successive tasks on an evolving repository, carrying forward edits and writing memory before the next task is known.

⚡ 反题

Selecting memory for unknown next tasks requires balancing future usefulness against the costs of writing and reading it.

🌐 合题

The actor must also decide when acting o

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p=0.049 和 p=0.051 不是两个世界：显著性悬崖如何把统计证据变成出版开关【锚点】这一篇只讲一个判断：【p 值不是“假设 H0 为真的概率”，而是“若 H0 为真，当前或更极端数据出现的概率”；把 p<0.05 当成“真”，会把证据强度变成出版开关。】【流程节点链路】设定 H0 → 选检验统计量 → 用数据算统 0 点赞 · 0 评论 Linking Rapid Learning to Compositional Structure in Neural Networks: Evidence from Additive Analogies in Meta-Learned Parameter Spaces Title: Linking Rapid Learning to Compositional Structure in Neural Networks: Evidence from Additive Analogies in Meta-Le 0 点赞 · 0 评论 Learning When Diffusion Language Models Should Regenerate Title: Learning When Diffusion Language Models Should Regenerate Learning When Diffusion Language Models Should Regenera 0 点赞 · 0 评论

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