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This study uses a deduplicated, conflict-audited FCG-MFD corpus, five held-out families, and three optimization seeds to test whether Louvain-community summaries add rejection information beyond a graph neural network embedding and dimension-matched generic topology.
The tested signature adds IID signal but shows no repeatable shift-stability advantage, demonstrating why mesoscopic graph claims need partition-matched controls and repeated null draws.
LeaseGuard is presented, a deterministic admission layer that represents preemption authority through canonical resource leases, incumbent-health checks, effect-aware admission, effect-aware admission, coexistence limits, safe alternatives, and resource-scoped overrides before adapter execution.
Achieving a 5.28% improvement in segmentation accuracy while running 4.7% faster than existing methods, DiCoR redefines efficiency in referring remote sensing image segmentation.
Vulnerabilities spanning multiple functions can be detected more accurately with VulAgentRL, which verifies evidence through a novel Code Property Graph approach.
Introducing a transport-based approach that ensures stable and expressive 3D stylizations by controlling style feature allocation across multiple views.
Open-source library vulnerabilities are easier to spot when you connect the dots between bug reports, code changes, and commit messages.