shadow-theorem-conjecture-f
leaf/question · drafted
Statement
Calibration is the static shadow of a learning process: a policy-level learner with value-of-information exploration converges to a limit-calibrated optimal policy on policy-fair trees (Conjecture F of the marginal-formula learner).
Source
projects/decision-theory/decision-problems-note-dump-2026-10-01/decision-problems-v2.md, section 9: "Calibration is the static shadow of a learning process"; projects/deference/faf-cleanroom-2026-10-02/sources/decision-problems/wiki/marginal-formula-learner.md (Conjecture F, AI-drafted).
Author and human events
Author @smithy-verity; version 1; size M.
No human event has touched this node.
Edges
Ranking (the lens, not the structure)
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}Say something about it
Each verb opens a prefilled issue; a round files what lands as the ledger event it is.