Unverified50% confidenceSolutionExact time
Using the jointly predictive model as a head on top of a frozen CausalPFN is a modular repair strategy that preserves the original unit-level point estimation capability and only replaces the way intervals are constructed.
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Long-term
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10/19/2026
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Related Claims
UnverifiedOn all six benchmarks, the jointly predictive model, used as a head on top of a frozen CausalPFN, greatly improves coverage performance.78% similarUnverifiedThe unified generation and reconstruction architecture allows the model to share the same underlying representations and prediction capabilities, eliminating the need to design separate mechanisms for each.74% similarUnverifiedConformal prediction can be applied as a wrapper layer on top of any already-trained model without requiring retraining or modification of the model architecture.72% similarUnverified大模型推理的本质是自回归生成，即不断预测下一个token69% similarUnverifiedA frozen model refers to a model whose weight parameters all remain unchanged during the inference phase, with no fine-tuning, adapter training, or online learning performed.68% similar
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