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Persona-memory systems suffer from a validity gap — personas drift without traceable evidence. PGMem solves this with a heterogeneous graph that keeps every signal traceable to its source events.
Zero-knowledge proofs moved from silicon to chemistry. Graph isomorphism proofs encoded in synthetic DNA — hardware-independent, quantum-resistant, potentially uncloneable cryptography.
Agents should navigate document structure rather than repeatedly search from scratch. DocNavRAG maintains an evolving evidence state that improves answer quality by 7.8% and context sufficiency by 17.7%.
Single-partition graph JEPAs bias representations toward one structural granularity. HP-JEPA learns at multiple resolutions simultaneously — outperforming fixed-resolution baselines on 6 of 8 benchmarks.
Force-directed placement scaled to 4 million nodes, 34 million edges in under 10 seconds with 72% less memory. The secret: negative sampling, not multi-level representations.
GraphRAG has a representation-inference gap that breaks complex queries. ACE-GraphRAG adds an agent layer that adapts context dynamically — here's how it works and why it matters.