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#IllusoryPatternPerceptionDrivesSpuriousInferenceinLargeLanguageModels论文总结与译文>论文信息：arXiv:2610.07791，NeurIPS
Understanding and Enhancing Backdoor Persistency in LLM Agent Post‑Training 论文总结与翻译
#UnderstandingandEnhancingBackdoorPersistencyinLLMAgentPost‑Training论文总结与翻译>论文arXiv：https://arxiv.org/abs/26
MILO: Efficient Many‑shot In‑Context Learning with Block‑wise Low‑rank Compression
>说明：arXiv摘要页面仅公开**Abstract**，未直接展示Introduction、Conclusion完整原文；PDF需要读取完整论文。当前可获取完整的只有Abstract，因此我完成：论文整体总结、创新点、Abstract中
Rationale‑Guided Policy Optimization（RGPO）论文总结与翻译
#Rationale‑GuidedPolicyOptimization（RGPO）论文总结与翻译>论文信息：arXiv:2610.07342｜NeurIPS2026｜[论文仓库](https://github.com/VietH
Component and Dimension Sparsity in Transformer Refusal Mechanisms 论文总结
#ComponentandDimensionSparsityinTransformerRefusalMechanisms论文总结>论文信息：arXiv:2610.06903，接收于COLM2026，作者：Vincen
CodeGraph: Open‑Taxonomy Knowledge Graph for Source Code with Wikidata Grounding
#CodeGraph:Open‑TaxonomyKnowledgeGraphforSourceCodewithWikidataGrounding>论文arXiv链接：[https://arxiv.org/abs/26
LogicTrack: Auditing Reasoning Trajectories of Large Language Models with Formal Logic Solvers 论文总结与
#LogicTrack:AuditingReasoningTrajectoriesofLargeLanguageModelswithFormalLogicSolvers论文总结与翻译>论文arXiv链接：htt
Accelerating Dense LLMs via L0‑regularized Mixture‑of‑Experts 论文总结与翻译
#AcceleratingDenseLLMsviaL0‑regularizedMixture‑of‑Experts论文总结与翻译>论文arXiv链接：https://arxiv.org/abs/2609.21672##
Abstention and Noise Filtering: Two Missing Primitives of Softmax Attention 论文阅读总结
#AbstentionandNoiseFiltering:TwoMissingPrimitivesofSoftmaxAttention论文阅读总结>论文arXiv链接：[https://arxiv.org/abs/
Block‑Sparse Attention with Semantic‑Geometric Decoupled Routing（arXiv:2609.22884）论文总结与翻译
#Block‑SparseAttentionwithSemantic‑GeometricDecoupledRouting（arXiv:2609.22884）论文总结与翻译>论文链接：[https://arxiv.org/ab
GVPO++: Group Variance Policy Optimization for LLM Post‑Training and On‑Policy Distillation
#GVPO++:GroupVariancePolicyOptimizationforLLMPost‑TrainingandOn‑PolicyDistillation>论文链接：https://arxiv.org/a
RBS‑Attention 论文阅读总结
#RBS‑Attention论文阅读总结>论文信息：arXiv:2609.20971，RBS‑Attention:Radius‑BoundedSparsePrefillforLong‑ContextLargeLangu
Random Attention: Rethinking KV Cache Eviction for Efficient Reasoning（arXiv:2609.03430）
#RandomAttention:RethinkingKVCacheEvictionforEfficientReasoning（arXiv:2609.03430）##一、文章主要内容总结###研究背景大模型在长链
SWE‑Gate 论文阅读总结
#SWE‑Gate论文阅读总结>论文信息：arXiv:2609.04167，SWE‑Gate:PassingFunctionalTestsIsNotEnoughforSoftwareEngineeringAgen
What Matters for Aggressive Decoding‑Time KV Eviction? Temporal Aggregation and Ranking Preservation
#WhatMattersforAggressiveDecoding‑TimeKVEviction?TemporalAggregationandRankingPreservation>arXiv:2609.0351
GrowPage: On‑Demand KV Budgeting for Efficient LLM Reasoning Serving（arXiv:2609.03494）
#GrowPage:On‑DemandKVBudgetingforEfficientLLMReasoningServing（arXiv:2609.03494）>论文链接：[https://arxiv.org/abs/2
Large Language Models in Resolving Contextual Knowledge Conflicts（arXiv:2609.03148）
#LargeLanguageModelsinResolvingContextualKnowledgeConflicts（arXiv:2609.03148）>会议：EMNLP2026>论文链接：https://arx
RuleMem: Active Rule Memory for Long‑Term Conversational Agents 论文总结与翻译
#RuleMem:ActiveRuleMemoryforLong‑TermConversationalAgents论文总结与翻译>论文arXiv链接：https://arxiv.org/abs/2609.03915
Representational alignment yields generalizable safety in language models
>说明：arXiv网页摘要接口仅公开**Abstract**，**Introduction、Conclusion**正文内容不在返回的元数据中，无法直接获取原文，因此仅完成摘要原文+翻译；文章主要内容、创新点基于摘要信息整理。#Re
It‘s the Problem, Not the Path: Budget and Difficulty Confounds in LLM Reasoning Trajectories
#It'stheProblem,NotthePath:BudgetandDifficultyConfoundsinLLMReasoningTrajectories>论文arXiv地址：https://arxi
