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Breaking Predictions Is Not Enough: Specified-Foil Counterfactuals for Temporal Graphs

This story is from 2026-09-12. It is preserved in the archive; the latest stories are on the live feed.

arXiv:2609.11170v1 Announce Type: new Abstract: Temporal graph counterfactual explanations typically change past events to change or invalidate an original prediction, while leaving its replacement unspecified. Yet a user facing a predicted outcome often asks which past conditions would make a part…

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  1. 2026-09-12 04:00 · arXiv cs.AI
    Breaking Predictions Is Not Enough: Specified-Foil Counterfactuals for Temporal Graphs

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