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We propose four training-time mitigation strategies and evaluate them individually and in combinations, finding that log-scaled distances yield the most consistent improvements in passkey retrieval
from the top result below

Computation and Language

https://arxiv.org/list/cs.CL/new
We evaluate five open-weight readers with Vanilla context, BM25-RAG, Oracle retrieval, Memobase, and MemSearch as memory backends

Artificial Intelligence

https://arxiv.org/list/cs.AI/new
The implemented contract fixes evidence non-overwrite, branch isolation, grounded multi-subject timers, guarded state change, and declaration-ranked event ordering over time and space; an external runner still decides whether evidence becomes an authoritative move

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https://arxiv.org/pdf/2608.03883
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https://arxiv.org/pdf/2402.03300
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Report GitHub Issue

https://arxiv.org/html/2608.02613v1
5 Composition: reader-bound LLM time + reader-free search C

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https://arxiv.org/pdf/2608.01934
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https://arxiv.org/src/2205.11916v1
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https://arxiv.org/src/2006.02318
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https://arxiv.org/pdf/2407.02510
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https://arxiv.org/src/2006.03271
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https://arxiv.org/src/2205.11916v3
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https://arxiv.org/src/2006.01048
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https://arxiv.org/src/2608.03994
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https://arxiv.org/pdf/2006.02318
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https://arxiv.org/pdf/2608.01651v1
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https://arxiv.org/src/2006.02759
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https://arxiv.org/pdf/2608.02758
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https://arxiv.org/pdf/2303.12712v5
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https://arxiv.org/pdf/2608.02615
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https://arxiv.org/pdf/2005.14165
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https://arxiv.org/pdf/2006.04122
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https://arxiv.org/src/2303.12712
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https://arxiv.org/pdf/2006.00342
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https://arxiv.org/pdf/2608.03118
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https://arxiv.org/pdf/2508.04671
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1 Introduction

https://arxiv.org/html/2501.13956v1
2 Knowledge Graph Construction 2.1 Episodes 2.2 Semantic Entities and Facts 2.2.1 Entities 2.2.2 Facts 2.2.3 Temporal Extraction and Edge Invalidation 2.3 Communities 3 Memory Retrieval 3.1 Search 3.2 Reranker 4 Experiments 4.1 Choice

Report GitHub Issue

https://arxiv.org/html/2608.03048v1
× Title: Content selection saved. Describe the issue below: Description: Submit without GitHub Submit in GitHub arXiv is now an independent nonprofit! Learn more × Back to arXiv Why HTML? Report Issue Back to Abstract Download PDF

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https://arxiv.org/pdf/2607.26327v3
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https://arxiv.org/pdf/2608.03494
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https://arxiv.org/pdf/2210.00105
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