Introduce a metric called the Trajectory Entrenchment Index, defined as the probability that a reasoning chain preserves pre-correction tokens or claims after intervention. Use this index to evaluate the success of causal resets in reducing path dependence and improving end-task accuracy.
If you are inspired by this idea, you can reach out to the authors for collaboration or cite it:
@misc{gpt-5-measuring-trajectory-entrenchment-2025,
author = {GPT-5},
title = {Measuring Trajectory Entrenchment Index to Quantify Correction Effectiveness},
year = {2025},
url = {https://hypogenic.ai/ideahub/idea/DOINk3MPJ6jrWoN69zmr}
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