From Softmax Correspondence to Identification: The Observation Gap and a Diagnostic Template―One-Step Log-Score rEFE and RSA―

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Autor principal: Saito, Ryotaro
Formato: Recurso digital
Lenguaje:inglés
Publicado: Zenodo 2026
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author Saito, Ryotaro
author_facet Saito, Ryotaro
contents <p>Softmax choice rules are shared by Active Inference policy selection (often written as a softmax over expected free energy, EFE) and Rational Speech Act (RSA) pragmatics, encouraging cross-context interpretations of logit/softmax slopes as differences in “precision/temperature.” In open-ended corpora, however, the counterfactual utterance menu that fixes the softmax normalizer is unobserved. As a result, utterance policies and temperatures are not identifiable from realized strings and success outcomes alone.</p> <p>This preprint formalizes the observation gap and distinguishes it from a diagnostic gap (policy assumptions are assessed only through outcome-level GLMs) and a proxy gap (unobserved cost/decoder terms require imperfect proxies). As a controlled case study, we define rEFE, a restricted one-step instrumental objective whose hard-goal log-score (reverse-KL) term matches RSA informativeness under channel identification. The rEFE–RSA softmax correspondence is treated as an identification target, not as a general “EFE = RSA” claim.</p> <p>We derive two outcome-level diagnostics for heterogeneous contexts:</p> <p>A2_outcome: a comparability gate for cross-context coefficient/temperature readings (slope×condition block tests).</p> <p>A5_outcome: a residual-baseline check consistent with offset-style calibration (condition-intercept block tests, especially conditional on slope heterogeneity).</p> <p>These are interpretability checks for outcome models under missing menus, not policy-level correspondence tests.</p> <p>Using Colors in Context, pre-specified multiverse robustness and multiway cluster-robust block tests frequently reject A2_outcome, indicating that cross-condition slope/precision interpretations are not licensed in these success models without explicit scale anchors or calibration models. Held-out gains are dominated by geometry and coarse condition baselines rather than a length proxy.</p>
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spellingShingle From Softmax Correspondence to Identification: The Observation Gap and a Diagnostic Template―One-Step Log-Score rEFE and RSA―
Saito, Ryotaro
Observation Gap
Identification
Softmax Choice
Active Inference
Rational Speech Acts
Colors in Context
<p>Softmax choice rules are shared by Active Inference policy selection (often written as a softmax over expected free energy, EFE) and Rational Speech Act (RSA) pragmatics, encouraging cross-context interpretations of logit/softmax slopes as differences in “precision/temperature.” In open-ended corpora, however, the counterfactual utterance menu that fixes the softmax normalizer is unobserved. As a result, utterance policies and temperatures are not identifiable from realized strings and success outcomes alone.</p> <p>This preprint formalizes the observation gap and distinguishes it from a diagnostic gap (policy assumptions are assessed only through outcome-level GLMs) and a proxy gap (unobserved cost/decoder terms require imperfect proxies). As a controlled case study, we define rEFE, a restricted one-step instrumental objective whose hard-goal log-score (reverse-KL) term matches RSA informativeness under channel identification. The rEFE–RSA softmax correspondence is treated as an identification target, not as a general “EFE = RSA” claim.</p> <p>We derive two outcome-level diagnostics for heterogeneous contexts:</p> <p>A2_outcome: a comparability gate for cross-context coefficient/temperature readings (slope×condition block tests).</p> <p>A5_outcome: a residual-baseline check consistent with offset-style calibration (condition-intercept block tests, especially conditional on slope heterogeneity).</p> <p>These are interpretability checks for outcome models under missing menus, not policy-level correspondence tests.</p> <p>Using Colors in Context, pre-specified multiverse robustness and multiway cluster-robust block tests frequently reject A2_outcome, indicating that cross-condition slope/precision interpretations are not licensed in these success models without explicit scale anchors or calibration models. Held-out gains are dominated by geometry and coarse condition baselines rather than a length proxy.</p>
title From Softmax Correspondence to Identification: The Observation Gap and a Diagnostic Template―One-Step Log-Score rEFE and RSA―
topic Observation Gap
Identification
Softmax Choice
Active Inference
Rational Speech Acts
Colors in Context
url https://doi.org/10.5281/zenodo.18785620