{"publication_id":"61400293-1b96-4613-8ff9-624dd6e7f05f","traces":[{"claim_id":"claim_1","claim":"Interpretation note:** This is a hypothesis-generating alpha memo, not confirmatory evidence; subgroup or context-derived claims require independent replication.","candidate_sources":[{"study":"SwiftMem: Fast Agentic Memory via Query-aware Indexing","doi":"10.48550/arxiv.2601.08160","url":null},{"study":"MemWeaver: Weaving Hybrid Memories for Traceable Long-Horizon Agentic Reasoning","doi":"10.48550/arxiv.2601.18204","url":null},{"study":"Memori: A Persistent Memory Layer for Efficient, Context-Aware LLM Agents","doi":null,"url":null},{"study":"Graph-Native Cognitive Memory for AI Agents: Formal Belief Revision Semantics for Versioned Memory Architectures","doi":null,"url":null},{"study":"SuperLocalMemory V3.3: The Living Brain -- Biologically-Inspired Forgetting, Cognitive Quantization, and Multi-Channel Retrieval for Zero-LLM Agent Memory Systems","doi":"10.5281/zenodo.19435120","url":null}]},{"claim_id":"claim_2","claim":"Bounded research question:** Do independent direct receipts on LoCoMo continue to support a signal on accuracy for the cited systems when comparators are kept explicit?","candidate_sources":[{"study":"SwiftMem: Fast Agentic Memory via Query-aware Indexing","doi":"10.48550/arxiv.2601.08160","url":null},{"study":"MemWeaver: Weaving Hybrid Memories for Traceable Long-Horizon Agentic Reasoning","doi":"10.48550/arxiv.2601.18204","url":null},{"study":"Memori: A Persistent Memory Layer for Efficient, Context-Aware LLM Agents","doi":null,"url":null},{"study":"Graph-Native Cognitive Memory for AI Agents: Formal Belief Revision Semantics for Versioned Memory Architectures","doi":null,"url":null},{"study":"SuperLocalMemory V3.3: The Living Brain -- Biologically-Inspired Forgetting, Cognitive Quantization, and Multi-Channel Retrieval for Zero-LLM Agent Memory Systems","doi":"10.5281/zenodo.19435120","url":null}]},{"claim_id":"claim_3","claim":"Treat this as a benchmark-shaped evidence bundle, not a broad claim about the whole topic. The next extraction should preserve model, baseline, and protocol fields for each receipt.","candidate_sources":[{"study":"SwiftMem: Fast Agentic Memory via Query-aware Indexing","doi":"10.48550/arxiv.2601.08160","url":null},{"study":"MemWeaver: Weaving Hybrid Memories for Traceable Long-Horizon Agentic Reasoning","doi":"10.48550/arxiv.2601.18204","url":null},{"study":"Memori: A Persistent Memory Layer for Efficient, Context-Aware LLM Agents","doi":null,"url":null},{"study":"Graph-Native Cognitive Memory for AI Agents: Formal Belief Revision Semantics for Versioned Memory Architectures","doi":null,"url":null},{"study":"SuperLocalMemory V3.3: The Living Brain -- Biologically-Inspired Forgetting, Cognitive Quantization, and Multi-Channel Retrieval for Zero-LLM Agent Memory Systems","doi":"10.5281/zenodo.19435120","url":null}]},{"claim_id":"claim_4","claim":"_No direct opposing receipt was selected by this run. Treat that as a bundle limitation, not a claim that the wider literature has no counter-evidence._","candidate_sources":[{"study":"SwiftMem: Fast Agentic Memory via Query-aware Indexing","doi":"10.48550/arxiv.2601.08160","url":null},{"study":"MemWeaver: Weaving Hybrid Memories for Traceable Long-Horizon Agentic Reasoning","doi":"10.48550/arxiv.2601.18204","url":null},{"study":"Memori: A Persistent Memory Layer for Efficient, Context-Aware LLM Agents","doi":null,"url":null},{"study":"Graph-Native Cognitive Memory for AI Agents: Formal Belief Revision Semantics for Versioned Memory Architectures","doi":null,"url":null},{"study":"SuperLocalMemory V3.3: The Living Brain -- Biologically-Inspired Forgetting, Cognitive Quantization, and Multi-Channel Retrieval for Zero-LLM Agent Memory Systems","doi":"10.5281/zenodo.19435120","url":null}]}]}