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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
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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
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
https://arxiv.org/pdf/2303.12712v5
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https://arxiv.org/src/2303.12712
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https://arxiv.org/html/2608.02613v1
5 Composition: reader-bound LLM time + reader-free search
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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
https://arxiv.org/html/2608.03048v1
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https://arxiv.org/pdf/2604.05327v4
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https://arxiv.org/pdf/2607.28577v1
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https://arxiv.org/pdf/2210.03493
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https://arxiv.org/pdf/2608.02978
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https://arxiv.org/src/2006.00441
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https://arxiv.org/src/2006.00064
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https://arxiv.org/pdf/2608.02976
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https://arxiv.org/pdf/2006.00064
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https://arxiv.org/pdf/2210.00185
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https://arxiv.org/src/2006.03720
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https://arxiv.org/pdf/2608.03709
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https://arxiv.org/pdf/2407.00215
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https://arxiv.org/pdf/2006.02833
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https://arxiv.org/src/2005.14165
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https://arxiv.org/pdf/2407.00132
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https://arxiv.org/src/2006.01318
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https://arxiv.org/src/2006.01598
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https://arxiv.org/src/2006.02833
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https://arxiv.org/src/2006.03318
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https://arxiv.org/html/2205.01882v5
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https://arxiv.org/pdf/2402.03300
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https://arxiv.org/list/cs.SI/new
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[1] arXiv:2608
https://arxiv.org/list/cs.LG/2024-12
3251-3298
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[1] arXiv:2412