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Visual place recognition models often crumble under weather and lighting shifts, but injecting 160K geometrically verified, route-aware synthetic hard positives boosts R@1 retrieval by up to 9.2% across foundation backbones.
G$^3$VLA shows that incorporating calibrated geometric structure into VLA models can lead to substantial performance gains in robot manipulation tasks.
LLM agent harnesses are surprisingly vulnerable, but weaving security directly into the agent lifecycle can slash attack success by 42% without sacrificing utility.