{"schema_version":1,"experiment_id":"eoa_inverse_innovation_exp03_full320_20260801","cell_id":"invariant_mode_decomposition_design__information_theory","trajectory_id":"R","attempt_index":0,"candidate_sha256":"d35d4ff9acd8f611aeafd445a1eea9dcaf78857769827674055a6696cd7e61b6","gates":{"G1":{"status":"PASS","reason":"The target is an independently specified finite-rate remote-estimation failure involving hidden directional error growth, not a restatement of the archetype."},"G2":{"status":"PASS","reason":"The source transition, modal basis, gain spectrum, intervention map, residual checks, drift monitoring, and interpretation limits correspond coherently to the archetype structure."},"G3":{"status":"PASS","reason":"Under a fixed communication budget, shifting precision and update cadence toward consequence-critical growing modes plausibly reduces directional error accumulation; the proposal also names non-normality and coupled channel errors that could defeat this leverage."},"G4":{"status":"PASS","reason":"Every archetype component has a domain realization, load-bearing mechanisms have explicit counterfactual roles, and rejected mechanisms are distinguished rather than indiscriminately included."},"G5":{"status":"PASS","reason":"Effectiveness and action relevance are bounded as hypotheses, the prior-art status is explicitly unsearched, and the candidate does not present comparative benefit as established evidence."},"G6":{"status":"PASS","reason":"The problem falsifier tests whether the hidden directional failure exists, while the intervention falsifier separately tests whether modal allocation beats both the baseline and nearest rival under matched constraints."},"G7":{"status":"PASS","reason":"The authorized step is offline and non-actuating, production changes require safety-owner approval, excluded actions are explicit, and halt and rollback conditions preserve the baseline."}},"scores":{"structural_fit":{"score":4,"reason":"The proposal preserves the full transformation-to-modes-to-gains-to-action structure, including residual, coupling, scope, gap, and drift controls."},"domain_fidelity":{"score":3,"reason":"Finite channel capacity, rate allocation, coding, reconstruction error, and a decoder-estimator loop are genuine information-theoretic objects, though the central modal machinery also depends substantially on dynamical-systems assumptions."},"causal_plausibility":{"score":3,"reason":"The claimed pathway from directional amplification through rate reallocation to reduced critical error is coherent and testable, but comparative benefit over an optimized full-state codec remains empirical."},"component_translation":{"score":4,"reason":"All supplied components are translated into operational domain counterparts with no evident decorative or missing element."},"adversarial_survival":{"score":4,"reason":"The candidate directly addresses non-normal transient growth, ill-conditioning, small gaps, mode swapping, partial validity, residual starvation, and a strong non-modal rival."},"reframing_gain":{"score":4,"reason":"It changes the optimization target from coordinate or variance fidelity to growth- and consequence-weighted directional error, yielding a materially different allocation and monitoring policy."},"practicality_testability":{"score":3,"reason":"Matched-rate offline replay, held-out trajectories, directional outcomes, rival comparison, and rollback are feasible, but concrete tolerance values and estimation procedures still require preregistration."},"expected_value_risk":{"score":3,"reason":"The offline first step limits immediate harm and could reveal dangerous hidden error growth, while live use retains meaningful risks from model fragility, subgroup effects, and residual starvation."},"novelty_evidence":{"score":1,"reason":"The transfer is potentially distinctive, but prior art is explicitly unsearched and no supplied evidence establishes novelty."}},"weighted_total":85,"disposition":"DEEP_RESEARCH","fabrication_findings":[],"weak_dimensions":["novelty_evidence"],"actionable_critique":[{"priority":"HIGH","issue":"Comparative novelty and prior-art separation are unresolved.","repair":"Before any novelty claim, investigate finite-rate stabilization, data-rate theorems, transform coding for dynamical sources, unequal error protection, and predictive joint source-channel control, then state the candidate's incremental distinction.","evidence_boundary":"The closed-book packet supports only a hypothesis of distinctiveness, not a novelty conclusion."},{"priority":"MEDIUM","issue":"The offline test is structurally clear but lacks fixed operational thresholds and estimator details.","repair":"Preregister conditioning, spectral-gap, drift, residual, directional-error, and safety tolerances together with mode-estimation uncertainty and the allocation algorithm.","evidence_boundary":"The packet establishes a test design but supplies no empirical calibration for these choices."}],"repairs":[],"improvement_attribution":{"kind":"NONE","reason":"This is an original attempt with unchanged problem and causal-lever identifiers, so no trajectory improvement can be attributed."},"trajectory_replacement":false,"arm_guess":"MECHANISM_PACKET","recommendation":"SUCCESS","tester_summary":"The candidate is a strong, falsifiable structural transfer with complete component coverage, a credible matched-budget causal test, explicit rival comparison, and bounded authority. Its principal unresolved issue is novelty evidence, while effectiveness remains appropriately framed as an empirical hypothesis."}