{"schema_version":1,"experiment_id":"eoa_inverse_innovation_exp03_full320_20260801","cell_id":"invariant_mode_decomposition_design__film_media_production","trajectory_id":"R","attempt_index":0,"archetype_slug":"invariant_mode_decomposition_design","domain_slug":"film_media_production","decision":"CANDIDATE","problem_id":"late_revision_cascade_blindness","causal_lever_id":"coupled_revision_mode_targeting","proposal":{"problem":"HYPOTHESIS: During late-stage film revisions, picture changes can generate recurring combinations of downstream rework across editing, VFX, sound, color, captions, and QC. Asset-by-asset triage may miss combinations whose rework persists or grows across revision cycles, increasing avoidable rework and delivery risk.","actors_substrate":["Producer and post-production supervisor","Editorial, VFX, sound, color, captioning, localization, and QC teams","Versioned shots, sequences, work packages, dependencies, and delivery states","Change logs, handoff records, issue trackers, and revision-cycle timestamps"],"observable_state":"At each revision cycle, a consistently scaled vector records open dependencies, completion deviation, returned work, and rework effort by department-work-package cell; a fitted transition operator maps one cycle's vector to the next.","consequence":"Recurring cross-department propagation patterns remain hidden until multiple deliverables require rework or delivery readiness slips.","affected_objective":"Reduce downstream rework and late-delivery exposure without constraining authorized creative revision.","structural_mapping":[{"archetype_element":"Coupled transformation","domain_realization":"INFERENCE: Version-to-version workflow records can define a local transition from one revision-state vector to the next.","claim_kind":"INFERENCE"},{"archetype_element":"Invariant directions and scalar response","domain_realization":"HYPOTHESIS: Approximate eigenmodes may identify recurring department-work-package combinations that decay, persist, or amplify per revision cycle.","claim_kind":"HYPOTHESIS"},{"archetype_element":"Action-relevant mode selection","domain_realization":"HYPOTHESIS: Outcome sensitivity can distinguish operationally consequential modes from merely large modes.","claim_kind":"HYPOTHESIS"},{"archetype_element":"Modal intervention","domain_realization":"High-leverage modes trigger a coordinated change packet: joint dependency preflight, synchronized handoff, and named interface checks for the implicated work packages.","claim_kind":"HYPOTHESIS"},{"archetype_element":"Residual and regime governance","domain_realization":"Held-out reconstruction, conditioning, spectral-gap, coupling, and drift checks gate whether modal alerts may be used.","claim_kind":"INFERENCE"}],"component_map":[{"component":"Transformation Scope","status":"adapted","domain_realization":"One production phase and one fixed revision cadence; estimate the local cycle-to-cycle transition operator."},{"component":"State-Vector Definition","status":"direct","domain_realization":"Standardized work-package dependency, delay, return, and rework measures; exclude individual performance measures."},{"component":"Invariant Mode Basis","status":"direct","domain_realization":"Eigenvectors of the fitted square transition operator, accepted only when identifiable and adequately conditioned."},{"component":"Modal Gain Spectrum","status":"direct","domain_realization":"Eigenvalues express estimated persistence, decay, oscillation, or growth per revision cycle."},{"component":"Dominant Mode Selection Rule","status":"direct","domain_realization":"Retain modes meeting preregistered outcome-sensitivity, persistence, and held-out fidelity criteria."},{"component":"Stable/Unstable Mode Partition","status":"direct","domain_realization":"Partition by eigenvalue magnitude relative to one, with a marginal uncertainty band."},{"component":"Modal Intervention Map","status":"adapted","domain_realization":"Map mode loadings to feasible coordinated preflight, handoff, and interface-check packages."},{"component":"Reconstruction Residual Check","status":"direct","domain_realization":"Measure held-out error and structured residuals in original workflow coordinates."},{"component":"Mode Drift Monitor","status":"direct","domain_realization":"Re-estimate directions and gains each revision cycle during any prospective use."},{"component":"Interpretation Scope Contract","status":"direct","domain_realization":"Treat modes as local workflow patterns, not creative causes, worker rankings, or permanent production laws."},{"component":"Mode-Coupling Register","status":"direct","domain_realization":"Record near-degenerate, non-orthogonal, and sensitivity cross-effects."},{"component":"Local Linearization Window","status":"direct","domain_realization":"Limit use to the sampled production phase, workflow topology, vendors, and revision-intensity range."},{"component":"Spectral Gap Threshold","status":"direct","domain_realization":"Pre-register a minimum retained-versus-dropped separation; below it, suppress dominant-mode claims."}],"mechanism_dispositions":[{"slug":"eigendecomposition_workflow","disposition":"selected_load_bearing","contribution_type":"CORE_CAUSAL","adaptation_or_rejection":"Decompose the estimated square revision-transition operator; reject interpretation if the basis is defective or ill-conditioned.","counterfactual_removal":"Without invariant directions and gains, the proposal reduces to coordinate-level workflow monitoring."},{"slug":"modal_sensitivity_sweep","disposition":"selected_load_bearing","contribution_type":"CORE_CAUSAL","adaptation_or_rejection":"Perturb modal coordinates in a bounded model and rank effects on held-out rework and readiness outcomes; register cross-effects.","counterfactual_removal":"Mode size could not be translated into an intervention target."},{"slug":"modal_stability_analysis","disposition":"selected_load_bearing","contribution_type":"CORE_CAUSAL","adaptation_or_rejection":"Classify decay, persistence, oscillation, and growth only within the observed revision regime.","counterfactual_removal":"The design could not distinguish transient workload from self-propagating revision patterns."},{"slug":"mode_shape_testing","disposition":"incompatible","contribution_type":"NONE","adaptation_or_rejection":"Physical excitation and sensor placement do not match a production workflow; historical and prospective workflow observations supply validation.","counterfactual_removal":"No change; the empirical excitation mechanism is inapplicable."},{"slug":"network_spectral_centrality_analysis","disposition":"considered_rejected","contribution_type":"NONE","adaptation_or_rejection":"Dependency centrality ranks nodes but does not estimate cycle-to-cycle amplification of joint rework states.","counterfactual_removal":"No change; the nearest-rival dependency analysis remains available."},{"slug":"power_iteration_probe","disposition":"considered_rejected","contribution_type":"NONE","adaptation_or_rejection":"Dominant-only recovery is insufficient because multiple coupled modes and their separation must be checked in the bounded pilot.","counterfactual_removal":"No change; the fitted operator is small enough for the full gated analysis."},{"slug":"principal_component_analysis","disposition":"considered_rejected","contribution_type":"NONE","adaptation_or_rejection":"Variance directions need not be revision-propagation directions or operationally consequential.","counterfactual_removal":"No change; covariance compression is not the causal lever."},{"slug":"reduced_order_model","disposition":"considered_rejected","contribution_type":"NONE","adaptation_or_rejection":"A runnable surrogate adds complexity before predictive validity and intervention value are established.","counterfactual_removal":"No change to the initial diagnosis or shadow test."},{"slug":"residual_reconstruction_test","disposition":"selected_load_bearing","contribution_type":"TEST_DESIGN","adaptation_or_rejection":"Use held-out cycles and inspect both residual magnitude and structure, including low-volume delivery-critical errors.","counterfactual_removal":"There would be no hard fidelity gate against over-compression."},{"slug":"singular_value_decomposition","disposition":"selected_supporting","contribution_type":"SAFETY_GUARDRAIL","adaptation_or_rejection":"Compare singular amplification and conditioning with the eigenpicture to detect non-normal transient growth; do not relabel singular vectors as invariant modes.","counterfactual_removal":"Fragile eigenmodes or transient amplification could be mistaken for reliable independent modes."},{"slug":"spectral_decomposition_report","disposition":"selected_supporting","contribution_type":"SAFETY_GUARDRAIL","adaptation_or_rejection":"Record loadings, gains, uncertainty, coupling, residuals, forbidden interpretations, and operating limits for decision-makers.","counterfactual_removal":"Uncertainty and local scope would be easier to launder into authoritative workflow claims."},{"slug":"spectral_gap_monitor","disposition":"selected_load_bearing","contribution_type":"SAFETY_GUARDRAIL","adaptation_or_rejection":"Track retained/dropped separation, direction rotation, and mode reordering during prospective use.","counterfactual_removal":"Continued use could survive loss of the separation that licenses modal simplification."}],"causal_chain":["Estimate a locally valid revision-cycle transition from consistent workflow states.","Extract conditioned invariant modes and classify their gains.","Use held-out residuals, gap, and coupling checks to decide whether any modal account is usable.","Sensitivity-rank usable modes against rework and delivery-readiness outcomes.","For a rising high-leverage mode, coordinate only the implicated handoffs and interface checks.","HYPOTHESIS: Earlier coordination reduces repeated downstream returns and protects delivery readiness."],"baseline":"Departmental issue queues, schedule milestones, manual producer triage, and asset-by-asset escalation after visible delay or return.","nearest_rival":"A dependency-graph or critical-path change-impact analysis that traces each edit through known downstream tasks without estimating recurrent propagation modes.","authority_safety":{"affected_parties":["Creative leads whose revisions generate downstream work","Editorial and post-production teams","Vendors and contingent workers represented in workflow records","Distributors and audiences affected by delivery quality or delay"],"decision_authority":"The accountable producer and post-production supervisor jointly authorize workflow tests; creative leads retain creative decision authority, and department leads approve operational changes affecting their teams.","authorized_first_step":"On one consenting production, fit retrospectively with earlier cycles, hold out the final 25%, then run alerts silently for at most two revision cycles; no alert changes assignments or creative decisions.","excluded_actions":["Automated creative approval, edit locking, or suppression of revisions","Individual worker scoring, discipline, compensation, or surveillance","Automatic reassignment, overtime, vendor penalties, or schedule changes","Prospective action when conditioning, residual, gap, drift, or data-quality gates fail"],"halt_rollback":"Stop alerts and revert to ordinary triage if held-out error exceeds the preregistered budget, residuals contain delivery-critical structure, the gap falls below threshold, modes drift beyond tolerance, data burden becomes unacceptable, or any alert is used for personnel evaluation."}},"negative_tests":{"strongest_counterevidence":"Revision cascades may be sequence-specific consequences of creative content and contractual dependencies; an ordinary dependency graph may predict them as well as or better than a locally fitted modal model.","analogy_break":"Film production is a negotiated, path-dependent creative process rather than a stationary linear dynamical system. Approximate modes may rotate after a creative pivot, vendor change, or delivery-stage transition and must not be interpreted as independent causes.","failure_condition":"No adequately conditioned operator and stable use window can be estimated, retained modes lack a meaningful gap, or acceptable reconstruction requires nearly the full state.","problem_falsifier":"Across held-out revision cycles, downstream rework has no recurring coupled propagation structure beyond isolated task dependencies and observable change size.","intervention_falsifier":"Even when modal alerts predict cascades, coordinated mode-targeted preflight fails to reduce downstream returns or delivery-readiness loss versus dependency-graph triage at comparable effort and false-alert cost.","risks":["Spurious modes from sparse, inconsistent, or selectively logged workflow data","Creative complexity or vendor identity acting as an unmeasured confounder","Mode labels becoming covert judgments of departments or workers","Coordination overhead exceeding avoided rework","False confidence during regime shifts or near-degenerate spectra","Optimization for logged rework displacing unlogged quality or creative objectives"]},"null_rationale":null,"classification":{"candidate_kind":"DOMAIN_TRANSFER","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":0.74,"generator_notes":"Closed-book structural transfer. The fit depends on observing sufficiently consistent revision-cycle states and is rejected rather than rescued if local modal assumptions fail."}