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Updated through the day. Every headline links straight to the source. The two lines underneath are ours.
Proof verification at competition level is a hard problem and it matters: automated grading could scale human-level feedback for mathematics education and research. The finding is that frontier models still struggle on long reasoning chains. The adversarial-proof generation technique (TROJAN) is the real asset here. Builders: this signals where LLM reasoning still breaks down.
Formal verification of agent-generated code is a real bottleneck for production systems, and this addresses a concrete failure mode: wasted compute pursuing bad proof directions. If you're building agents that write or verify code, this is worth tracking as it matures, since faster and more reliable formal proofs reduce the cost of safety guarantees.