{"schema_version":1,"experiment_id":"eoa_inverse_innovation_exp04_retrieval_first_paired20_20260802","cell_id":"negative_space_design__information_theory","arm":"PROPOSAL_FIRST","candidate_id":"typed_silence_epochs_for_event_channels","hypothesis_id":null,"version":0,"title":"Typed Silence Epochs for Capacity-Constrained Event Channels","problem":"A capacity-constrained monitoring channel repeatedly transmits unchanged state merely to reassure the receiver that the source is still operating. These low-information symbols crowd the channel and compete with state-change messages, yet simply suppressing them would make no-event silence indistinguishable from packet loss, encoder failure, or lost permission.","actors":["Source-system operator","Protocol designer","Receiving-system operator","Downstream incident responder"],"observable_state":"Channel traces contain long runs of repeated no-change symbols, while unframed transmission gaps cannot be classified by the receiver as deliberate quiescence or communication failure.","consequence":"Finite transmission opportunities are consumed by redundant reassurance, potentially delaying salient state changes, while ambiguous gaps prevent the decoder and incident responder from knowing whether the monitored state is stable or unknown.","affected_objective":"Convey state changes reliably and promptly within finite channel capacity while preserving an explicit distinction among quiescence, loss, and source failure.","intervention":"Define bounded quiet epochs in which no payload transmission is an intentional codeword meaning 'no reportable change,' but only after a framing beacon establishes source health and epoch duration. Protect each epoch from routine status traffic; allow state changes and safety-critical messages to interrupt it immediately. At the boundary, require either a renewal beacon or an explicit state message. If the boundary signal is absent, the decoder must label the state unknown or faulted rather than infer continued stability. Preserve suppressed samples in a recoverable source log for audit.","structural_mapping":[{"archetype_element":"Attention Competition Map","domain_realization":"Classify channel symbols by whether they convey a state change, establish decoding context, carry safety information, or merely repeat an already-decoded state."},{"archetype_element":"Omission Candidate","domain_realization":"Repeated unchanged-state payloads are candidates for suppression; framing, uncertainty, safety, and recovery information are exempt."},{"archetype_element":"Protected Empty Space","domain_realization":"A protocol-defined quiet epoch reserves transmission opportunities from routine status symbols."},{"archetype_element":"Positive Form Relationship","domain_realization":"The absence of payload frames the next transmitted state change, making that change the salient positive signal."},{"archetype_element":"Absence Boundary","domain_realization":"Start and expiry beacons delimit exactly when silence may be decoded as quiescence."},{"archetype_element":"Meaning-of-Absence Check","domain_realization":"The decoder distinguishes valid in-epoch silence from expired-beacon silence, detected loss, permission blockage, and encoder failure."},{"archetype_element":"Reintroduction Trigger","domain_realization":"A reportable change, safety condition, epoch expiry, or receiver request immediately restores transmission."},{"archetype_element":"Accessibility and Recoverability Guardrail","domain_realization":"Critical messages bypass silence, unknown states remain explicit, and omitted samples remain available in a source-side audit log."},{"archetype_element":"Clarity or Effect Test","domain_realization":"Receiver classifications and event delivery are tested under quiescence, change, packet loss, and source-failure conditions."}],"mechanism_mapping":[{"mechanism_slug":"editorial_cut","role":"Suppress redundant unchanged-state payloads only after testing that the remaining frames retain decoding context, and retain the removed samples in a recoverable log.","counterfactual_removal":"Without disciplined, recoverable cuts, routine repetition continues to occupy the channel or necessary context is deleted indiscriminately."},{"mechanism_slug":"blank_or_rest_frame","role":"Place an explicitly bounded quiet epoch between meaningful transmissions and define the signal that ends it.","counterfactual_removal":"Without a framed rest interval, gaps are accidental and can be read as faults rather than deliberate pacing of the signal."},{"mechanism_slug":"empty_state_design","role":"Give each payload-free interval a diagnosed state—valid quiescence, expired heartbeat, detected loss, permission block, or source failure—and prescribe the decoder's next action.","counterfactual_removal":"Without typed empty states, the receiver collapses distinct causes into generic silence and may falsely infer stability."},{"mechanism_slug":"focus_mode_or_control_hiding","role":"Clear routine status traffic while keeping change, safety, recovery, and receiver-request controls immediately available.","counterfactual_removal":"Without selective hiding and guaranteed reintroduction, either redundant traffic remains or critical reporting becomes inaccessible."}],"causal_chain":["Repeated no-change payloads compete with state-change messages for finite channel opportunities.","The protocol identifies those repetitions as omission candidates while preserving framing and safety context.","A health beacon opens a bounded quiet epoch in which payload absence has a declared meaning.","Routine status symbols are excluded from that protected interval, but reportable changes can interrupt it.","Because the epoch boundary and decoder rules distinguish valid quiet from missing renewal, absence communicates quiescence without concealing uncertainty.","The next state-change message encounters less routine competition and is perceptually and operationally isolated.","Offline comparison determines whether this structure reduces symbol use without increasing decoding error, false stability, or event delay."],"baseline":"Transmit the current state at every sampling interval, including unchanged values, and treat any missing expected transmission as a possible communication fault.","nearest_rivals":["Deadband or event-triggered transmission with a periodic heartbeat","Run-length encoding of repeated states","Priority queuing that retains all status messages but serves state changes first"],"remaining_contrastive_claim":"Relative to ordinary event-triggered reporting, the candidate's testable distinction is the treatment of silence as a bounded, semantically typed protocol element with explicit entry, exit, failure interpretation, and recoverability rules. This is a design contrast, not a novelty claim.","authority_safety":{"decision_authority":"The protocol owner may authorize an offline simulation and trace-replay study; deployment authority remains with the operators responsible for the monitored system and its safety case.","authorized_first_step":"Specify the quiet-epoch code and evaluate it in simulation only, using non-operational synthetic messages and a receiver that records every classification.","excluded_actions":["Changing a live monitoring protocol","Suppressing safety-critical or legally required messages","Allowing silence to imply stability after its framing beacon expires","Deleting source samples or audit records","Automatically acting on experimental decoder outputs"],"halt_rollback":"Halt the study if any test condition permits expired, lossy, or failed-source silence to be decoded as known-stable, or if a critical event is delayed beyond the baseline. Roll back by disabling quiet epochs and restoring transmission at every sampling interval."},"negative_tests":{"strongest_counterevidence":"Under loss and source-failure conditions, bounded silence still causes the receiver to infer stability incorrectly, or the framing and renewal traffic consumes enough capacity that state-change delivery is no better than the baseline.","problem_falsifier":"The inferred problem is falsified if repeated unchanged-state symbols do not materially contend for the tested channel and receivers already distinguish quiescence from failure without additional framing.","intervention_falsifier":"The intervention is falsified if it increases decoded-state error, false-stability classifications, or state-change delay relative to both the ordinary baseline and the strongest rival under the predefined channel conditions.","risks":["A lost boundary beacon could extend a stale-state inference.","Beacon overhead could erase the benefit of omitted payloads.","Poorly chosen change thresholds could suppress meaningful variation.","Operators could over-trust a quiescent label despite an unknown underlying state.","Source-side logs could diverge from transmitted state and complicate audit."]},"next_evidence_step":"Build a bounded synthetic experiment with one finite-capacity channel, one two-state source, four conditions—stable source, state change, packet loss, and source failure—and three protocols: transmit-every-sample baseline, event-triggered reporting with periodic heartbeat, and typed silence epochs. Run a fixed predeclared set of traces and compare transmitted symbol count, state-change delay, decoded-state error, false-stability classifications, and fault-detection delay. Do not connect the experiment to operational systems.","prior_art_status":"UNSEARCHED","revision_record":{"parent_version":null,"progress_targets_addressed":[],"conceptual_changes":[],"operational_changes":[],"evidence_changes":[],"claim_changes":[]}}