{"schema_version":1,"experiment_id":"eoa_inverse_innovation_exp06_four_proposal_generalization60_20260803","cell_id":"predictive_residual_processing__nanotechnology","arm":"COMPLETE_PROPOSAL_PORTFOLIO","candidate_id":"efference_residual_spm_probe_protection","proposal_index":2,"version":0,"title":"Efference-Residual Sensing for Scanning-Probe Nanomanipulation","problem":"During scanning-probe manipulation or patterning, each commanded piezo motion produces a predictable mechanical and electrical response in the cantilever, scanner, and force-sensing chain. That self-generated response can occupy the sensor path's dynamic range and control attention, while the smaller unpredicted component associated with contact onset, adhesion change, probe slip, particle displacement, or surface discontinuity is harder to isolate quickly. Treating the complete sensor waveform as equally informative can produce delayed intervention, overly conservative motion, or continued motion after an external interaction has departed from the expected regime.","actors":["Scanning-probe instrument operator","Nanomanipulation process engineer","Probe and sample safety owner","Embedded-control engineer","Instrument-model owner"],"observable_state":"For a bounded probe, sample class, atmosphere, scan mode, and command envelope, the instrument observes timestamped actuator commands, scanner position, cantilever deflection or force signal, drive phase and amplitude, controller state, sensor saturation, temperature, and calibration health. A versioned forward model predicts the command-induced sensor response; the signed difference between that prediction and the actual waveform represents the unresolved interaction component, with uncertainty and provenance.","consequence":"Predictable actuator-induced response can obscure the externally caused component needed to recognize a changed tip-sample interaction, consuming control-path capacity and potentially allowing an unsafe or unproductive trajectory to persist until a fixed absolute threshold is crossed.","affected_objective":"Preserve decision-relevant tip-sample interaction evidence within a bounded low-latency control and operator-attention budget while maintaining reconstructable sensor context, independent raw observation, and human authority over motion and force policies.","intervention":"For one scanning-probe mode and a declared command envelope, duplicate each outgoing actuator command into a versioned forward model that predicts the resulting cantilever and sensor-chain waveform before the corresponding observation arrives. Subtract the predicted self-generated response from the timestamp-aligned measured waveform, preserving a signed temporal or spectral residual. Weight the residual by calibration uncertainty, sensor health, contact-state consequence, command regime, and latency cost; route qualifying residuals to the probe-protection supervisor and operator display with the prediction and metadata required to reconstruct the original waveform. Keep absolute force, sensor saturation, position-limit, missing-observation, and controller-fault signals on an independent full-signal bypass. Periodically capture complete raw windows, compare them with reconstructed waveforms, resynchronize model copies, and revert to raw-signal control whenever timing alignment, model validity, reconstruction, drift, or safety conditions fail. Validated residuals may inform offline model revisions, but no live residual may directly retrain the production predictor.","structural_mapping":[{"archetype_element":"Prediction target and observation boundary","domain_realization":"Predict the sensor waveform attributable to one issued scanner or probe command over a declared short response horizon, excluding unknown external contact changes that the residual must preserve."},{"archetype_element":"Generative model state","domain_realization":"A versioned forward model represents the command-to-scanner-to-cantilever-to-sensor dynamics for a specified probe, mounting, controller configuration, environment, and operating envelope."},{"archetype_element":"Predictive feedforward model and expected behavior","domain_realization":"An efference copy of each outgoing actuator command generates the expected self-induced waveform before or alongside its measured return."},{"archetype_element":"Actual behavior and provenance","domain_realization":"The complete measured waveform is timestamped with command identity, probe and calibration identity, controller state, sample context, sensor quality, and model version."},{"archetype_element":"Prediction comparator and error signal","domain_realization":"A timing-aligned signed subtraction produces a temporal or spectral residual that retains the direction, duration, and frequency content of unexplained interaction."},{"archetype_element":"Precision weighting and residual budget","domain_realization":"Residual priority reflects measurement uncertainty, model uncertainty, source health, contact consequence, command regime, cumulative unpropagated energy, and control-path latency."},{"archetype_element":"Residual propagation channel","domain_realization":"The low-latency supervisor receives selected residuals and reconstruction metadata, while the operator receives acknowledged events with full context available on demand."},{"archetype_element":"Model-state synchronization and validity window","domain_realization":"Embedded and supervisory model copies exchange prediction-affecting checksums; validity expires after calibration age, probe replacement, environmental change, timing drift, or departure from the authorized command envelope."},{"archetype_element":"Update rule","domain_realization":"Reviewed raw windows and classified residuals support bounded offline parameter revision; each accepted revision receives a new checksum and must pass replay and hardware-in-the-loop tests."},{"archetype_element":"Raw-state audit and reconstruction","domain_realization":"Random windows, command-transition windows, and risk-stratified contact windows retain the complete sensor waveform independently and test prediction-plus-residual reconstruction."},{"archetype_element":"Safety bypass and decompression","domain_realization":"Absolute-force limits, saturation, travel limits, missing samples, controller faults, checksum mismatch, excessive reconstruction error, or structured residual drift force full-signal handling and the preexisting safe controller."},{"archetype_element":"Attention and bandwidth budget","domain_realization":"The scarce resource is the bounded-latency control and operator channel; predictor computation, synchronization, auditing, and fallback occupancy are counted against any released capacity."}],"mechanism_mapping":[{"mechanism_slug":"efference_copy_cancellation","role":"Copies the outgoing piezo command into a forward model and subtracts its predicted sensor consequence so unresolved external interaction remains in the residual.","counterfactual_removal":"Without it, the proposal loses its defining causal separation between self-generated probe response and unpredicted tip-sample interaction."},{"mechanism_slug":"innovation_residual_filter","role":"Maintains uncertainty over instrument state and applies the signed innovation according to relative trust in the dynamics model and measured waveform.","counterfactual_removal":"Without it, the system lacks a disciplined way to distinguish uncertain prediction error from a reliable interaction change or to carry uncertainty into reconstruction."},{"mechanism_slug":"precision_weighted_error_gate","role":"Allocates low-latency capacity using residual magnitude, model and sensor precision, contact consequence, command regime, cumulative error, and forwarding cost.","counterfactual_removal":"Without it, large noisy transients can crowd out smaller but reliable residuals associated with consequential contact changes."},{"mechanism_slug":"event_triggered_residual_reporting","role":"Reports a residual event when its precision-and-consequence score crosses the declared threshold, while heartbeats make quiet intervals distinguishable from failed observation.","counterfactual_removal":"Without it, every residual sample continues to consume the constrained path or silence becomes operationally ambiguous."},{"mechanism_slug":"model_version_checksum_handshake","role":"Prevents the supervisor from reconstructing or acting on a residual generated against a different dynamics model, calibration, or timing configuration.","counterfactual_removal":"Without it, a well-formed residual can be interpreted against the wrong self-response prediction and silently corrupt the reconstructed waveform."},{"mechanism_slug":"shadow_raw_channel_sampling","role":"Preserves independent complete sensor windows selected randomly and around risky command or contact regimes for blind-spot and over-cancellation audits.","counterfactual_removal":"Without it, genuine external signals that the forward model mistakenly cancels may be absent from both the residual stream and its internal health metrics."},{"mechanism_slug":"residual_comparison_test","role":"Tests residuals for bias, temporal structure, command correlation, regime dependence, and disagreement with raw windows or a rival dynamics model.","counterfactual_removal":"Without it, systematic mistiming or model misspecification can be dismissed as harmless sensor noise."},{"mechanism_slug":"model_drift_monitoring","role":"Tracks calibration age, residual distribution, timing offsets, reconstruction disagreement, environmental conditions, and probe-state changes.","counterfactual_removal":"Without it, wear, remounting, temperature change, or plant drift can make the cancellation model progressively unsafe without an explicit validity failure."},{"mechanism_slug":"raw_signal_fallback_switch","role":"Returns the affected scope to complete sensor waveforms and the existing safe controller when model, timing, reconstruction, observability, or protected-signal conditions fail.","counterfactual_removal":"Without it, the predictive path can remain authoritative precisely when it no longer represents the instrument reliably."},{"mechanism_slug":"prediction_error_replay_buffer","role":"Stores residuals with matched raw windows, commands, calibration data, model versions, operator classifications, and intervention records for offline revision and regression testing.","counterfactual_removal":"Without it, later model updates cannot reliably distinguish external interaction, instrument drift, and consequences of prior control actions."}],"causal_chain":["An outgoing scanner or probe command is copied before execution and passed to a scoped, versioned forward model.","The forward model predicts the self-generated cantilever and sensor-chain waveform with an uncertainty estimate for the response window.","The instrument independently captures the complete actual waveform and binds it to the command, calibration, timestamp, controller state, and model identity.","A timing-aware comparator subtracts predicted self-response from observation, leaving a signed residual that concentrates unexplained tip-sample interaction and model error.","An uncertainty-and-consequence gate decides which residuals enter the bounded-latency supervisor, while protected absolute signals bypass cancellation in full.","The supervisor verifies model compatibility and reconstructs the observation as prediction plus residual before any high-consequence interpretation.","A qualifying residual requests a predefined reversible response, such as operator review or entry into the existing safe-motion state, rather than autonomously revising the predictor.","Independent raw windows reveal over-cancellation, reconstruction loss, or command-correlated structure that the residual path cannot diagnose alone.","Drift, timing mismatch, missingness, checksum failure, excessive error, or safety signals suspend residual processing and restore complete-waveform handling.","Reviewed evidence enters an offline replay process that may propose a bounded, versioned model update after separating external events from intervention-induced observations."],"baseline":"Route complete cantilever and force-sensor waveforms through the existing controller, fixed filters, absolute thresholds, and operator display; manage actuator-induced ringing or coupling with static compensation and conservative command profiles, without treating a versioned prediction-relative residual as the reconstructive and learning signal.","nearest_rivals":["Conventional force or amplitude feedback control, which reacts to the full measured error against a setpoint but does not explicitly predict and suppress the sensory consequence of each outgoing command.","Static notch, band-pass, or feedforward compensation, which attenuates known actuator-coupled components but does not maintain an uncertainty-tagged residual channel with reconstruction, audits, and governed updating.","A state estimator using measurement innovations primarily to estimate hidden scanner or cantilever state, rather than to propagate the unexplained interaction as a bandwidth- and attention-rationed reconstructive message.","Fixed absolute-force and deflection interlocks, which provide an essential safety boundary but may not expose smaller model-relative interaction changes and do not learn from signed prediction error.","Slower or more conservative probe trajectories, which reduce excitation and risk by changing operations rather than separating predicted self-response from external interaction."],"remaining_contrastive_claim":"The proposal's testable contrast is not merely better filtering or another force alarm. It uses an efference copy to predict the sensor consequence of the instrument's own command, makes the signed unexplained remainder the synchronized reconstructive and review signal, learns only from validated residuals, and preserves independent raw audits and immediate full-signal fallback. If this architecture cannot retain external-interaction evidence and bounded-latency utility after all maintenance and safeguard costs are counted, it offers no advantage over the strongest rival.","authority_safety":{"decision_authority":"The scanning-probe instrument operator and designated probe-safety owner retain authority over motion, force setpoints, contact transitions, abort policy, and sample disposition; the model owner may propose but not independently activate model or threshold changes.","authorized_first_step":"Run a read-only replay and hardware-in-the-loop shadow evaluation using recorded or non-sample-contact calibration waveforms for one probe configuration and one bounded command envelope, with residual outputs prevented from controlling the actuator.","excluded_actions":["Allowing residual output to command live probe motion during the first evidence step","Changing force setpoints, scan trajectories, actuator limits, or abort thresholds","Disabling or weakening existing absolute-force, saturation, travel-limit, or controller-fault interlocks","Online self-training or automatic deployment of revised forward models","Discarding complete raw waveforms required for scientific reconstruction or incident review","Extending the model to another probe, mounting, sample class, atmosphere, scan mode, or command envelope without separate validation","Treating a quiet residual channel as evidence of safe contact without a valid heartbeat, synchronized model, and functioning bypass"],"halt_rollback":"Halt shadow evaluation or revert the affected scope to the unchanged full-waveform controller upon checksum mismatch, missing samples, clock or phase misalignment, sensor saturation, probe or calibration change, departure from the authorized command envelope, structured command-correlated residuals, reconstruction beyond the preregistered tolerance, evidence of genuine-signal over-cancellation, or safeguard test failure. Rollback disables residual routing, retains all raw evidence, restores the frozen baseline configuration, and requires operator and safety-owner review before another trial."},"negative_tests":{"strongest_counterevidence":"Complete-waveform tests may show that the command-induced component is not sufficiently predictable, that genuine tip-sample interactions are inseparable from command-dependent response, that model latency exceeds the useful control horizon, or that static compensation and existing feedback preserve consequential events with lower total cost and risk.","problem_falsifier":"The inferred problem is falsified for the selected operating scope if self-generated response does not materially occupy the relevant sensor or control capacity, consequential interaction changes are already isolated within the required latency by the baseline, or the supposedly external residual cannot be operationally distinguished from ordinary model error.","intervention_falsifier":"The intervention is falsified if preregistered shadow tests show over-cancellation of any protected interaction class, reconstruction outside decision-relevant tolerance, unstable or systematically structured innovations, ambiguous silence, slower safe-state entry than the baseline, or no net constrained-path benefit after prediction, synchronization, auditing, storage, fallback, and review costs are included.","risks":["A mistimed or overconfident forward model could subtract genuine contact onset, adhesion change, slip, or surface discontinuity.","Probe wear, remounting, contamination, temperature, or controller changes could invalidate the command-to-sensor model between calibrations.","Residual thresholds optimized for a quiet channel could suppress small high-consequence interactions.","Command-correlated external physics could be mistaken for self-generated instrument response.","Model updates could learn the effects of prior slowdowns or aborts as if they were uncontrolled environmental observations.","Added computation or transport could increase control latency or jitter.","Repeated nuisance fallbacks could pressure operators to weaken trip conditions.","A shared predictor in the embedded and supervisory paths could create correlated blind spots despite a successful checksum handshake.","Raw audit sampling may miss rare interaction regimes outside both random and anticipated risk strata."]},"next_evidence_step":"Pre-register a bounded shadow comparison for one probe, mounting, environment, controller configuration, scan mode, and command envelope. Freeze the forward model and threshold table, then replay temporally held-out complete waveforms and run hardware-in-the-loop commands with residual outputs unable to actuate the probe. Compare the proposal against the unchanged full-waveform controller, static filtering or compensation, and an innovation-based state estimator under the same latency and compute ceiling. Include independently labeled contact transitions, adhesion changes, slips, surface steps, benign ringing, sensor noise, deliberate timing offsets, dropped samples, checksum mismatches, calibration expiry, saturation, and command-envelope violations. Measure complete-waveform reconstruction, protected-class preservation, residual structure, event ordering, safe-state request latency, false escalation, heartbeat behavior, fallback operation, and total compute, synchronization, audit, storage, and operator-review cost. A passing result authorizes only a subsequent supervised shadow run beside the existing controller, not live residual control.","prior_art_status":"UNSEARCHED","diversity_from_prior_proposals":"Proposal 1 addresses human and computational inspection of acquired SEM image tiles by predicting intended lithographic geometry from a layout and routing spatial fabrication deviations for review. This proposal addresses a different physical problem inside scanning-probe nanomanipulation: predictable sensory consequences of the instrument's own actuator commands obscure time-critical external tip-sample interactions. Its intervention is command-derived efference-copy cancellation with a low-latency probe-protection residual, rather than layout-conditioned image reconstruction and defect-review triage. Its causal path runs from outgoing motion command to predicted self-response to unexplained force or deflection to safe-motion supervision, whereas proposal 1 runs from design layout to expected image to spatial fabrication residual to engineer inspection. It uses different equipment, actors, observations, decision timing, failure boundary, evidence protocol, and operational objective, and it can be adopted without the SEM inspection system.","revision_record":{"parent_version":null,"progress_targets_addressed":["Initial complete proposal at index 2","Material differentiation from sealed proposal 1","Causal fidelity to predictive residual processing","Operational authority, safeguards, falsifiers, and bounded evidence"],"conceptual_changes":[],"operational_changes":[],"evidence_changes":[],"claim_changes":[]}}