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  "text": "NEW paper worth reading.\n\nReasoning-data curation is expensive because scoring a trace usually means reading it to the end. This new work from UCLA shows you may not have to. The quality of a reasoning trace is largely decided in its opening tokens, so a short prefix predicts whole-trace quality well enough to rank and filter on.\n\nWhat this means?\n\nYou can score a million traces without finishing any of them. That turns curation into a cheap early-stopping problem and cuts the cost of building SFT data for reasoning models by a wide margin.\n\nPaper: https://t.co/KPKdygwd12\n\nLearn to build effective AI agents in our academy: https://t.co/LRnpZN7L4c",
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