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Proximal Mediation Analysis with Hidden Recanting Witnesses

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arXiv:2606. 17600v1 Announce Type: cross Abstract: Mediation analysis is essential for decomposing the causal effect of a treatment into direct and indirect pathways.

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Authors: Sihan Wu, Yang Bai, Yifan Cui
Released: 2026-06-17 (1mo ago)
Topic: Related to current project
Relation to my work: Read next because Proximal Mediation Analysis with Hidden Recanting Witnesses overlaps with clean result "Language-mismatch LoRA SFT on Qwen2.5-7B leaks the trained completion language into bystander directives the model was never trained on, absent under same-language SFT (LOW confidence)", clean result "Coupling evil personas with wrong answers fails to protect Qwen2.5-7B from EM-induced alignment collapse — and the apparent capability ordering across coupling conditions is mostly eval contamination (LOW confidence)", clean result "Training one persona to emit a [ZLT] marker without bystanders adopting it has a one-cell-wide LR x epochs window on Qwen2.5-7B-Instruct (LOW confidence)". Matching terms: rect, under, correct, rate, full, model, absent. Source: arxiv stat.ML (Machine Learning).
arXiv: 2606.17600

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