Falsifying Learning-Reasoning Correspondence for Sample-Efficient Neuro-Symbolic Agents
Imported research from GitHub repository run-a7b820ba-0109-4032-a46f-2bd30e4fe321.
Autonomous research run a3f2607f (omegaXiv / quarks engine).
Imported research from GitHub repository run-9f8b3a48-2523-4bf6-8a49-3e9eee8ddb82.
Autonomous research run produced by the omegaXiv quarks engine (gpt-5.5 / xhigh, 15-phase research pipeline). Problem: "Effective rank governs the oversampling returns of