{"schema_version":1,"assessment_id":"eoa_inverse_innovation_exp03_opportunity320_20260801","source_experiment_id":"eoa_inverse_innovation_exp03_full320_20260801","cell_id":"invariant_mode_decomposition_design__information_theory","archetype_slug":"invariant_mode_decomposition_design","domain_slug":"information_theory","title":"Modal-Growth-Weighted Rate Allocation for Remote Estimation","opportunity_summary":"Evaluate whether reallocating a fixed communication-rate and latency budget toward consequence-critical growing modes can reduce hidden directional estimation failures versus coordinate-wise or variance-weighted encoding and a full-state predictive rival. The candidate is structurally testable through non-actuating replay, but problem prevalence, comparative effectiveness, stakeholder demand, and prior-art separation are unestablished.","adopter_authorizer":"The system owner is the likely adopter and may authorize offline analysis; the control or safety owner must authorize any live encoder, allocation, estimator, or controller change.","scores":{"meaningful_impact":{"score":4,"rationale":"If the specified hidden unstable-direction failure occurs, it can cause late alarms, decoder saturation, or loss of estimation or control affecting people or assets. Impact is potentially substantial, but the packet does not establish how often the failure occurs."},"stakeholder_pull":{"score":2,"rationale":"Operators, communications teams, and safety owners have plausible reasons to care about bounded consequence-weighted error, but the sealed candidate contains no interviews, demand signals, incident evidence, purchasing commitment, or demonstrated prevalence."},"incremental_advantage":{"score":3,"rationale":"Explicit modal allocation offers interpretable directional protection under an unchanged rate and latency budget, but superiority over the baseline and predictive full-state rival is only a hypothesis and may fail under non-normal growth, nonlinear dynamics, or coupled channel errors."},"distinctiveness_plausibility":{"score":3,"rationale":"The proposal states a specific combination of consequence-weighted modal allocation, matched-budget comparison, and residual, conditioning, gap, coupling, and drift gates. However, prior art is explicitly unsearched, so incremental distinctiveness remains unresolved."},"technical_implementability":{"score":3,"rationale":"Offline replay or sandbox simulation is feasible in principle using timestamped traces, bit counts, reconstructions, and estimated dynamics. Implementation becomes difficult when operators are implicit, modes are weakly identifiable, eigenvectors are ill-conditioned, regimes drift, or non-normal transients dominate."},"adoption_authority_feasibility":{"score":3,"rationale":"The packet identifies both the system owner and the control or safety owner and separates analysis authority from live-change authority. Feasibility is mixed because any operational adoption requires safety approval and coordinated changes across sensing, encoding, communications, estimation, and possibly control."},"evidence_readiness":{"score":4,"rationale":"The candidate specifies observable variables, matched rate and latency, baseline and rival comparisons, authorized offline testing, falsifiers, and halt conditions. Readiness is reduced by missing calibrated thresholds, estimator details, uncertainty treatment, and evidence that suitable authorized traces exist."},"safety_net_benefit":{"score":4,"rationale":"The method could expose consequence-critical directional error hidden by aggregate distortion, while offline evaluation, declared exclusions, regime gates, and baseline rollback limit initial risk. Benefit remains conditional because modal optimization could starve residual or subgroup-relevant information."},"scalability":{"score":3,"rationale":"The structural method could transfer across coupled remote-estimation systems, but each application requires system-specific operator estimation, consequence weights, conditioning and drift thresholds, channel modeling, and safety validation; systems without stable identifiable modes are excluded."}},"score_confidence":"MODERATE","costs":{"first_evidence":{"band_2026_usd":"50K_TO_250K","scope":"Design and execute one fixed-horizon offline replay or sandbox study comparing coordinate or variance allocation, a predictive full-state rival, and modal allocation under identical rate and latency, including preregistration, held-out evaluation, and safety review.","confidence":"LOW","assumptions":["Authorized historical traces already exist and require no new instrumentation.","One bounded system and a small set of operating regimes are evaluated.","The work includes dynamics estimation, codec implementation, comparison infrastructure, uncertainty analysis, and partner coordination.","No production actuation or regulated live trial is performed."]},"initial_deployment_startup":{"band_2026_usd":"250K_TO_1M","scope":"Prepare a shadow-mode integration for one operational system, including data pipelines, robust mode tracking, allocation safeguards, monitoring, security and compliance review, operator procedures, and validation against the retained baseline.","confidence":"LOW","assumptions":["Offline evidence first supports continued work.","Existing encoder and estimator interfaces can be modified without replacing the communications platform.","Deployment remains non-actuating or tightly isolated until separate approval.","The system is safety-relevant enough to require formal review but not complete recertification of a large platform."]},"operational_launch":{"band_2026_usd":"1M_TO_5M","scope":"Authorize and launch the method on one safety-relevant production pathway with staged rollout, codec and estimator integration, failure monitoring, rollback capability, operator training, independent evaluation, and applicable assurance activities.","confidence":"LOW","assumptions":["The control or safety owner approves live changes after shadow evaluation.","Production hardware has sufficient compute and telemetry.","No increase in total rate or transmission power is required.","Launch involves one organization and one principal system rather than a fleet-wide rollout."]},"annual_recurring":{"band_2026_usd":"250K_TO_1M","scope":"Operate one deployed system with model and mode monitoring, drift and residual checks, periodic recalibration, safety review, software maintenance, incident analysis, data governance, and continued baseline or rollback readiness.","confidence":"LOW","assumptions":["Modes and operating regimes require periodic rather than continuous redesign.","A small specialist engineering and assurance allocation supports the system.","Major hardware replacement, channel expansion, and fleet-wide support are excluded.","Recurring comparative audits are required because mode swapping and regime change can undermine validity."]}},"research_burden":"HIGH","earliest_credible_horizon":"3_TO_12_MONTHS","pipeline_gates":{"recognizable_externally_supportable_problem":{"status":"UNCERTAIN","reason":"The packet clearly specifies a falsifiable hidden directional-error problem and its consequences, but provides no external incidents, trace results, prevalence evidence, or stakeholder confirmation showing that it materially occurs in an adopter's system."},"identifiable_adopter_or_authorizer":{"status":"YES","reason":"The system owner can authorize offline analysis, while the control or safety owner is explicitly identified as the required authority for live encoder, allocation, estimator, or controller changes."},"distinct_testable_incremental_claim":{"status":"YES","reason":"At identical total rate and latency, modal allocation claims improvement in preregistered worst consequence-weighted directional error, violation frequency, or recovery time over both the coordinate or variance baseline and the predictive full-state rival."},"bounded_next_evidence_step":{"status":"YES","reason":"A fixed-horizon, non-actuating replay or sandbox comparison using authorized traces, preregistered regimes, matched rate and latency, held-out evaluation, and explicit problem and intervention falsifiers is defined."},"no_unresolved_safety_or_authority_stop":{"status":"YES","reason":"The first step is authorized as offline and non-actuating; live changes remain subject to safety-owner approval, unsafe excitation is excluded, and specified halt and rollback rules retain the baseline."},"implementation_cost_scope_and_range":{"status":"UNCERTAIN","reason":"The proposal identifies the technical components and participating owners, permitting broad planning bands, but supplies no system scale, integration architecture, regulatory context, trace condition, staffing requirement, or assurance burden needed to support a reliable implementation range."}},"blocking_evidence":["No sealed evidence shows that hidden consequence-critical directional error occurs under the baseline in an adopter's authorized operating regimes.","No empirical comparison establishes benefit over both the baseline and predictive full-state rival at identical rate and latency.","Prior-art status is explicitly unsearched, so the proposal's incremental distinction is unknown.","Conditioning, spectral-gap, drift, residual, directional-error, safety, and mode-estimation uncertainty thresholds are not calibrated.","Availability and adequacy of authorized traces, an estimable transition operator, and identifiable modes over a useful window are unconfirmed.","Production integration, assurance requirements, and stakeholder willingness to authorize or fund adoption are untested."],"next_evidence_step":"Run a preregistered, fixed-horizon offline replay or sandbox simulation on one authorized trace set across declared regimes, comparing the coordinate or variance baseline, a predictive full-state rival, and modal allocation at identical total rate and latency. Falsify the problem if baseline held-out error remains bounded in every consequence-critical direction with no hidden growing mode; discontinue the intervention if it fails to improve worst directional error, violation frequency, or recovery time over both comparators or worsens any safety metric.","research_questions":["Do authorized baseline traces exhibit hidden growth in any consequence-critical direction despite acceptable aggregate distortion?","Can a transition operator and modal basis be estimated with adequate conditioning, spectral separation, stability, and held-out residuals over a useful window?","Does modal allocation outperform both the baseline and predictive full-state rival under matched rate and latency out of sample?","Do non-normal transient growth, nonlinear dynamics, partial observability, channel-error coupling, or mode swapping invalidate independent modal allocation?","What operational thresholds should govern conditioning, spectral gaps, drift, residuals, directional error, safety metrics, and mode-estimation uncertainty?","Does protecting selected modes degrade residual information, subgroup service quality, fairness, or another safety-relevant objective?","What is the proposal's incremental distinction after research into the prior-art areas named in the packet?","Will system and safety owners recognize the problem, provide traces, and authorize a shadow-mode evaluation?","What integration, compliance, assurance, staffing, and maintenance requirements determine credible deployment costs?"] ,"recommendation":"PARTNERED_RESEARCH","uncertainty_constraints":["Closed-book assessment: no external validation of prevalence, demand, prior art, realized impact, or costs was available.","All cost bands are resource-equivalent planning ranges based on assumed system scope, not estimates grounded in a specified deployment.","The method depends on an explicit or locally valid transition operator and modes identifiable within a declared regime.","Non-normality, nonlinearity, partial observability, ill-conditioned eigenvectors, channel-error coupling, and regime drift may defeat the causal mechanism.","Consequence weights and aggregate safety metrics may omit subgroup or residual information harms.","Live benefit cannot be inferred from offline replay, and live deployment requires separate safety-owner authorization."],"closed_book_prior_art_boundary":"The sealed packet supports only a hypothesis that consequence-weighted modal rate allocation with explicit validity gates may differ incrementally from coordinate or variance allocation and an uninterpretable predictive full-state rival. Prior art is unsearched; no claim is made about novelty, prevalence, market availability, or whether finite-rate stabilization, transform coding, unequal error protection, predictive compression, or joint source-channel control already contains the proposed mechanism."}