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August 19, 2026Open Access

Latent Generativity and Counterfactual Capability: An Identification Framework for Finite Traces

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WHWanhong HUANG

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Overview

Theoretical analysis establishes identification bounds for counterfactual generative capability from finite traces, highlighting conditions where unobserved repertoires can be bounded.

Key Points

  • To establish a formal identification framework for bounding and comparing latent generative capabilities and counterfactual repertoires using finite, partially observed trajectory samples.
  • Decomposed the inference problem into six structural inferential layers with distinct failure modes.
  • Formulated counterfactual reachable repertoires as superlevel sets of reachability functionals across observational equivalence classes.
  • Demonstrated that counterfactual repertoires are bounded by the core and hull of an equivalence class, collapsing to class limits if off-regime behavior can be arbitrarily spliced to on-regime paths.
  • Proved that under uniformly condition-Lipschitz kernels, counterfactual ambiguity is bounded by at most twice the Lipschitz constant times the distance from the observed regime.
  • Showed capability comparisons are identified across an entire equivalence class whenever the difference between evaluated functionals exceeds combined ambiguity.

Cite This Study

Wanhong HUANG (2026) studied this question.

synapsesocial.com/papers/6a8563fe03308d306e2d7827https://doi.org/10.17613/p69nc-60j13
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