Typed states for the displayed outbound observations.
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Paper Citation Record · LEDGER
As of 7 August 2026, this Paper Citation Record lists 100 of 109 outbound references and 0 inbound Pith citation observations for arXiv:2603.12344.
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Pith citing papers itemized under the disclosed page cap.
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100 of 109 outbound references displayed
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Can Decision Trees Teach Large Language Models? Distilling Verbalized Knowledge for Molecular Property Prediction This further implies that at this level of approximation the variables� ± enter at zeroth order in�
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Can Decision Trees Teach Large Language Models? Distilling Verbalized Knowledge for Molecular Property Prediction Thus, here we have the condition���=��� max, which leads to� ± �¯�with the common lengthscale 1�¯�= � � 1��2 M + 1��2 L � �2
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Can Decision Trees Teach Large Language Models? Distilling Verbalized Knowledge for Molecular Property Prediction For convenience, we assume for the rest of this paragraph that�� ϕ�= 1, in which case� ν� becomes a projector operator
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Can Decision Trees Teach Large Language Models? Distilling Verbalized Knowledge for Molecular Property Prediction The addition of ˜�z(�) implies that the presence of the vortex cannot effectively close the energy gap at the points of space where ∆(�) = 0
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Can Decision Trees Teach Large Language Models? Distilling Verbalized Knowledge for Molecular Property Prediction Unresolved cited work
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Can Decision Trees Teach Large Language Models? Distilling Verbalized Knowledge for Molecular Property Prediction Unresolved cited work
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Can Decision Trees Teach Large Language Models? Distilling Verbalized Knowledge for Molecular Property Prediction Topological superconductivity with orbital effects in magnetic skyrmion based heterostructures
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Can Decision Trees Teach Large Language Models? Distilling Verbalized Knowledge for Molecular Property Prediction Note that either term leads to a legitimate form for the coupling
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