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A Rigorous, Tractable Measure of Model Complexity

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arXiv:2605. 21167v1 Announce Type: new Abstract: An accurate assessment of a model's complexity is crucial for topics such as interpretation, generalization, and model selection.

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Authors: Oskar Allerbo, Thomas B. Sch\"on
Released: 2026-05-21 (2mo ago)
Topic: Related to current project
Relation to my work: Read next because A Rigorous, Tractable Measure of Model Complexity 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 "Factor screen for marker implantation + leakage (2^5: system-prompt length, answer-format length, persona-presence, on-policy, marker-only-loss)", experiment "#351 follow-up: broader-vocab position-0 sweep at T=1.0 + position-1 suffix isolation". Matching terms: rate, length, model. Source: arxiv stat.ML (Machine Learning).
arXiv: 2605.21167

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