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Instrumented data for causal scientific machine learning

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arXiv:2606. 07865v1 Announce Type: cross Abstract: Scientific machine learning is limited less by model size than by the data it is trained on.

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Authors: Daniel N. Wilke
Released: 2026-06-09 (1mo ago)
Topic: Related to current project
Relation to my work: Read next because Instrumented data for causal scientific machine learning overlaps with clean result "The marker is a representational handle, not a behavioural one — sharing it between a villain persona and the assistant transfers no misalignment (HIGH confidence)", experiment "Follow-up to #354: cascading chunk-binding — does A→B, B→C, C→D propagate the full chain on a recipient trained only to emit A?", experiment "#351 follow-up: broader-vocab position-0 sweep at T=1.0 + position-1 suffix isolation". Matching terms: line, rate, propagate, full, trained, model. Source: arxiv stat.ML (Machine Learning).
arXiv: 2606.07865

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