{"schema_version":1,"experiment_id":"eoa_inverse_innovation_exp03_full320_20260801","cell_id":"deadweight_loss_reduction__information_theory","trajectory_id":"R","attempt_index":0,"archetype_slug":"deadweight_loss_reduction","domain_slug":"information_theory","decision":"CANDIDATE","problem_id":"static_channel_resource_allocation_loss","causal_lever_id":"constraint_preserving_adaptive_channel_allocation","proposal":{"problem":"Static per-flow rate, bandwidth, or transmission-slot allocations in a communication system with varying channel conditions can leave usable capacity idle in favorable states while blocking valuable traffic elsewhere. The physical capacity, reliability, power, and fairness limits are legitimate; the potentially avoidable wedge is a coarse allocation rule that does not track current channel state or traffic value. [HYPOTHESIS]","actors_substrate":["message sources and senders","receivers","communication channels with state-dependent capacity and noise","scheduler or admission controller","flows protected by reliability, latency, and minimum-access commitments","network operator or protocol authority"],"observable_state":"Repeated intervals in which assigned capacity is unused or carries low-value traffic while queued admissible traffic could be transmitted on available channel opportunities, alongside variation in channel state, queue delay, outage, useful delivered bits, error rate, and access by flow class.","consequence":"Potential reliable information transfer is foregone through idle allocation, avoidable outage, delay, or low-value substitution, even though the underlying physical capacity and protection constraints remain unchanged. [HYPOTHESIS]","affected_objective":"Increase useful, reliably delivered information or an explicitly governed weighted-throughput objective without violating power, error, latency, fairness, privacy, or minimum-access constraints.","structural_mapping":[{"archetype_element":"value-blocking wedge","domain_realization":"A static or coarse rate, slot, bandwidth, or admission rule prevents allocation from following channel state and eligible traffic demand.","claim_kind":"HYPOTHESIS"},{"archetype_element":"available mutually beneficial activity","domain_realization":"Transmission opportunities exist in which additional admissible messages could be delivered without exceeding the physical constraint set.","claim_kind":"HYPOTHESIS"},{"archetype_element":"protected purpose","domain_realization":"Capacity, power, reliability, latency, fairness, privacy, and minimum-service limits protect physical feasibility and affected flows.","claim_kind":"INFERENCE"},{"archetype_element":"foregone surplus","domain_realization":"Useful reliable bits, reduced outage, or reduced delay available under a feasible alternative allocation but unrealized under the baseline.","claim_kind":"HYPOTHESIS"},{"archetype_element":"redesign","domain_realization":"A bounded scheduler varies allocations using observed channel state and queues while enforcing invariant protection constraints.","claim_kind":"HYPOTHESIS"},{"archetype_element":"rebound or gaming","domain_realization":"Sources may inflate priority, shift traffic into favored classes, or create synchronized demand that restores congestion.","claim_kind":"INFERENCE"}],"component_map":[{"component":"Distortion Map","status":"direct","domain_realization":"Trace static allocation rules to idle channel opportunities, blocked queues, outages, and delay."},{"component":"Protected Constraint Safeguard","status":"direct","domain_realization":"Hard-code power, reliability, latency, privacy, fairness, and minimum-service bounds."},{"component":"Surplus Estimate","status":"adapted","domain_realization":"Estimate additional useful reliable bits, avoided outage, and delay reduction, with declared flow weights."},{"component":"Affected-Party Incidence Map","status":"adapted","domain_realization":"Compare effects by sender, receiver, traffic class, and poorly connected or minimum-service flow."},{"component":"Redesign Lever","status":"adapted","domain_realization":"Replace coarse assignments with constraint-preserving adaptive scheduling and admission."},{"component":"Distributional Review","status":"adapted","domain_realization":"Check whether aggregate throughput gains degrade access, latency, or reliability for protected flows."},{"component":"Behavioral Response Model","status":"adapted","domain_realization":"Model queue shifts, priority inflation, demand synchronization, and source adaptation."},{"component":"Implementation Boundary","status":"direct","domain_realization":"Limit the test to selected links, traffic classes, time windows, and capped exposure."},{"component":"Monitoring and Rebound Check","status":"direct","domain_realization":"Monitor useful throughput, errors, delay tails, outage, idle capacity, and per-class service."},{"component":"Rollback or Adjustment Rule","status":"direct","domain_realization":"Restore the static scheduler or tighten constraints when protection thresholds fail."},{"component":"Cost–Benefit Assessment Frame","status":"adapted","domain_realization":"Use a multi-metric comparison of recovered information against computation, signaling, energy, and distributional costs."},{"component":"Price-Wedge Diagnostic","status":"adapted","domain_realization":"Treat congestion shadow prices as diagnostic signals, not monetary welfare measures."},{"component":"Friction Source Breakdown","status":"adapted","domain_realization":"Separate physical capacity scarcity from stale assignments, estimation error, signaling delay, and admission friction."},{"component":"Compensating Adjustment Plan","status":"adapted","domain_realization":"Reserve minimum rates or latency budgets for flows disadvantaged by adaptive allocation."},{"component":"Legitimacy and Authority Review","status":"adapted","domain_realization":"Verify operator authority to change scheduling and the validity of service commitments."},{"component":"Sensitivity Analysis","status":"direct","domain_realization":"Vary channel-state estimates, traffic weights, demand patterns, and error assumptions."},{"component":"Pilot or Sunset Path","status":"direct","domain_realization":"Run a reversible limited pilot that expires unless predefined evidence supports continuation."}],"mechanism_dispositions":[{"slug":"congestion_or_capacity_pricing_adjustment","disposition":"selected_load_bearing","contribution_type":"CORE_CAUSAL","adaptation_or_rejection":"Use a nonmonetary congestion shadow price to make scheduling responsive to scarce channel opportunities; retain protected-service floors.","counterfactual_removal":"Without a state-responsive scarcity signal, the redesign can revert to another coarse allocation and loses its adaptive routing mechanism."},{"slug":"cost_benefit_assessment_protocol","disposition":"selected_supporting","contribution_type":"TEST_DESIGN","adaptation_or_rejection":"Compare useful bits, delay, errors, energy, signaling overhead, and incidence rather than monetized welfare alone.","counterfactual_removal":"The causal lever remains, but the pilot could mistake aggregate throughput for net improvement."},{"slug":"distortion_reduction_review","disposition":"selected_load_bearing","contribution_type":"CORE_CAUSAL","adaptation_or_rejection":"Distinguish avoidable allocation loss from hard channel limits and protective service constraints before redesign.","counterfactual_removal":"Removing the review risks relabeling genuine channel scarcity or reliability protection as distortion."},{"slug":"impact_assessment_table","disposition":"selected_supporting","contribution_type":"SAFETY_GUARDRAIL","adaptation_or_rejection":"Record per-flow gains, losses, protected minima, and halt indicators.","counterfactual_removal":"Aggregate improvement could conceal severe service loss for a protected class."},{"slug":"matching_improvement_program","disposition":"considered_rejected","contribution_type":"NONE","adaptation_or_rejection":"The diagnosed bottleneck is allocation across known flows and channels, not failure of willing endpoints to find compatible partners.","counterfactual_removal":"No material change; matching is not in the proposed causal chain."},{"slug":"permit_or_approval_streamlining","disposition":"considered_rejected","contribution_type":"NONE","adaptation_or_rejection":"Admission decisions may exist, but procedural approval delay is not the primary wedge.","counterfactual_removal":"No material change; scheduler adaptation does not require approval-process streamlining."},{"slug":"price_control_redesign","disposition":"incompatible","contribution_type":"NONE","adaptation_or_rejection":"There is no administered monetary price cap or floor whose protective function must be replaced.","counterfactual_removal":"No change; introducing this mechanism would misstate the formal resource constraint."},{"slug":"quota_or_allocation_rule_review","disposition":"selected_load_bearing","contribution_type":"CORE_CAUSAL","adaptation_or_rejection":"Preserve legitimate aggregate limits while replacing stale per-flow assignments with adaptive allocation.","counterfactual_removal":"The proposal would identify loss without changing the rule that strands transmission opportunities."},{"slug":"regulatory_simplification_pilot","disposition":"selected_supporting","contribution_type":"TEST_DESIGN","adaptation_or_rejection":"Adapt to a walled-off scheduler experiment with automatic expiry and protected-metric monitoring.","counterfactual_removal":"The intervention could still operate, but evidence collection and containment would be materially weaker."},{"slug":"sunset_clause_review","disposition":"considered_rejected","contribution_type":"NONE","adaptation_or_rejection":"A one-time pilot sunset is already supplied by the pilot mechanism; recurring lapse of the standing protocol is unnecessary.","counterfactual_removal":"No material change because rollback and pilot expiry already govern continuation."},{"slug":"tariff_fee_or_toll_redesign","disposition":"incompatible","contribution_type":"NONE","adaptation_or_rejection":"No authority-imposed tariff, fee, or toll is part of the diagnosed information-allocation problem.","counterfactual_removal":"No change; the proposal uses shadow prices only as control signals."}],"causal_chain":["A static assignment fails to track changing channel opportunities and admissible queues.","Some feasible channel opportunities remain idle or serve lower-weight traffic while other admissible messages wait or fail. [HYPOTHESIS]","A diagnostic separates this allocation loss from physical capacity and protected constraints.","The scheduler uses channel state, queues, and congestion shadow prices to adapt assignments inside hard safeguards.","Previously stranded feasible opportunities carry additional eligible traffic.","Useful reliable throughput rises or outage and delay fall without unacceptable per-class or protection degradation. [HYPOTHESIS]"],"baseline":"Static or infrequently revised equal, reserved, or rule-based allocations paired with conservative fixed-rate admission; unused assignments are not promptly reassigned.","nearest_rival":"Add physical capacity or stronger coding while retaining static allocation. This addresses genuine undersupply or noise but not stranded opportunities caused by the assignment rule.","authority_safety":{"affected_parties":["senders and receivers whose traffic is rescheduled","latency-sensitive and reliability-sensitive flows","flows with weak channels or minimum-service guarantees","network operator and capacity funders","parties exposed to privacy or signaling-overhead changes"],"decision_authority":"The network operator or protocol governance body that controls scheduling and is bound by service, privacy, and safety commitments.","authorized_first_step":"Run a time-limited pilot on selected noncritical links using logged replay first, then capped live traffic; compare against the static scheduler with unchanged power, error, privacy, and minimum-service limits.","excluded_actions":["removing hard physical, safety, privacy, or reliability constraints","using willingness to pay as the sole traffic value measure","changing protected service commitments without affected-party approval","deploying network-wide before bounded evidence","starving weak-channel or low-priority flows below declared minima"],"halt_rollback":"Immediately restore the baseline scheduler if error, outage, delay-tail, privacy, energy, or protected-flow service crosses a predefined bound; otherwise let the pilot expire unless reviewed evidence supports adjustment or renewal."}},"negative_tests":{"strongest_counterevidence":"The apparent idle or blocked capacity may be required redundancy, guard time, coding overhead, uncertainty margin, or fairness reservation; reallocating it could reduce reliability or erase legitimate access rather than recover waste.","analogy_break":"Information throughput is not economic surplus, sources and receivers need not be mutually benefiting actors, and Shannon-style capacity is a genuine impossibility bound. The analogy holds only for avoidable allocation inside that bound, not for the bound itself.","failure_condition":"Adaptive control overhead, channel-estimation error, queue oscillation, priority gaming, or protected-flow starvation consumes or outweighs the recovered transmission opportunity.","problem_falsifier":"Under representative traces and uncertainty bounds, the baseline is already on the feasible weighted rate frontier, or every apparent idle interval is necessary for reliability, synchronization, privacy, fairness, or power compliance.","intervention_falsifier":"Against the same traffic and channel conditions, the adaptive pilot produces no robust improvement in preregistered useful-throughput, outage, or delay metrics, or improves them only by violating a protected threshold.","risks":["misclassifying physical scarcity as avoidable distortion","optimizing declared traffic weights that lack legitimate authority","starving weak-channel or low-volume flows","priority inflation and strategic traffic classification","oscillation from delayed or noisy channel-state feedback","extra signaling, computation, energy use, or privacy leakage","aggregate throughput masking tail-latency or reliability harm"]},"null_rationale":null,"classification":{"candidate_kind":"MECHANISM_COMPOSITION","prior_art_status":"UNSEARCHED","evidence_maturity":"HYPOTHESIS"},"revision_change_log":{"revision_kind":"ORIGINAL","prior_problem_id":null,"prior_causal_lever_id":null,"problem_changed":false,"causal_lever_changed":false,"conceptual_changes":[],"operational_changes":[],"repairs_addressed":[]},"confidence":0.78,"generator_notes":"Closed-book structural inference from the supplied packet. The candidate is conditional on demonstrating stranded feasible transmission opportunities rather than treating channel capacity or protective redundancy as removable wedges."}