{"schema_version":1,"experiment_id":"eoa_inverse_innovation_exp04_retrieval_first_paired20_20260802","cell_id":"negative_space_design__information_theory","arm":"RETRIEVAL_FIRST","round_index":0,"hypotheses":[{"hypothesis_id":"H1","title":"Protected pauses at entropy-concept boundaries","problem":"Dense information-theory instruction lets successive derivations interfere before learners consolidate the preceding concept.","affected_stakeholder":"Students learning information theory","workflow_boundary":"Transition between derivation segments in a lecture or recorded lesson","failure_mode":"Continuous presentation reduces delayed discrimination between adjacent concepts.","unit_of_analysis":"Learner-by-concept transition","causal_lever":"Insert a brief, minimally cued blank interval only at validated conceptual boundaries.","archetype_mapping":"The interval is protected temporal absence that frames the completed derivation and ends with an explicit resumption cue.","expected_value":"If effective, the intervention improves retention without deleting instructional evidence or extending total lesson time materially.","falsifiable_claim":"Compared with equal-duration recap slides, 8–15-second blank transition frames will increase 24-hour concept-discrimination accuracy by at least 10% without increasing abandonment.","diversity_rationale":"Targets human consolidation at pedagogical transitions, unlike protocol, monitoring, publication, or sensor-control hypotheses.","mechanism_slugs":["blank_or_rest_frame","pause_in_speech"],"search_questions":["Have blank intervals been compared with recap content in technical instruction?","Which information-theory concept transitions show the most interference?","When do learners interpret a blank frame as a playback fault?"]},{"hypothesis_id":"H2","title":"Typed emptiness for channel-monitoring dashboards","problem":"A blank channel panel conflates zero traffic, missing telemetry, permission denial, filtering, and collection failure.","affected_stakeholder":"Network operations engineers","workflow_boundary":"Interpretation of a channel or link panel before incident triage","failure_mode":"Operators treat unavailable evidence as a healthy zero or waste time investigating an intentional absence.","unit_of_analysis":"Operator decision on one empty panel episode","causal_lever":"Classify each empty observation by cause and expose one cause-specific recovery action while retaining channel context.","archetype_mapping":"Designed emptiness makes absence informative rather than filling the panel with generic status material.","expected_value":"If effective, operators distinguish low entropy from absent measurement faster and initiate fewer incorrect triage paths.","falsifiable_claim":"Cause-typed empty states will reduce empty-panel misclassification by at least 30% versus a generic no-data message, with no increase in median triage time.","diversity_rationale":"Targets operational state diagnosis and categorical error, not learning, code construction, editorial judgment, or transmission scheduling.","mechanism_slugs":["empty_state_design","sparse_layout"],"search_questions":["How do current network tools distinguish zero traffic from missing observations?","Which empty-state causes are most often confused?","Does a single recovery action improve or constrain expert triage?"]},{"hypothesis_id":"H3","title":"Reserved codewords as detectable negative space","problem":"Dense codebooks can map corrupted transmissions to valid but wrong messages, producing silent substitution errors.","affected_stakeholder":"Designers of short-message safety protocols","workflow_boundary":"Codebook construction and decoder acceptance for one transmitted symbol block","failure_mode":"Noise moves a received block into another valid codeword with no explicit invalid state.","unit_of_analysis":"Transmitted codeword under a specified channel-noise distribution","causal_lever":"Leave a bounded subset of representable codewords intentionally unused and make decoders reject receptions entering that region.","archetype_mapping":"Unused code space becomes a protected void whose boundary clarifies the valid positive codebook and triggers recovery.","expected_value":"If the detection gain exceeds the rate cost, systems can trade a small capacity sacrifice for fewer undetected substitutions.","falsifiable_claim":"At matched block length and channel model, a reserved-region codebook will reduce undetected substitution probability by at least 25% while sacrificing no more than 5% payload rate relative to a fully populated baseline.","diversity_rationale":"Operates on formal code space and silent corruption, structurally distinct from perceptual pacing, dashboard semantics, publication curation, and temporal access control.","mechanism_slugs":["architectural_void","margin_and_gutter_system"],"search_questions":["Which coding families already reserve invalid regions or codewords?","Under what noise distributions does reserved space outperform added parity?","How should the rejection region be shaped for maximum detection per lost bit?"]},{"hypothesis_id":"H4","title":"Recoverable editorial cuts for estimator comparisons","problem":"Information-theory papers often present many redundant bounds or estimators, obscuring which comparison supports the central claim.","affected_stakeholder":"Readers and reviewers of information-theory research","workflow_boundary":"Selection of main-text results after analysis but before publication","failure_mode":"Competing secondary results hide the claim-evidence relation, while indiscriminate trimming removes necessary qualifications.","unit_of_analysis":"Claim-centered result set within one manuscript","causal_lever":"Move redundant results to a recoverable supplement using an explicit context-preservation test.","archetype_mapping":"Deliberate omission isolates the load-bearing result while preserving removed evidence and reintroduction paths.","expected_value":"If effective, readers identify the operative bound or estimator faster without losing calibration or uncertainty context.","falsifiable_claim":"Readers of editorial-cut result sections will identify the result supporting the primary claim at least 20% faster, with noninferior qualification recall, than readers of complete result sections.","diversity_rationale":"Changes evidence curation at a publication boundary; its outcome is claim comprehension rather than retention, state diagnosis, decoding reliability, or energy use.","mechanism_slugs":["editorial_cut","whitespace"],"search_questions":["How many comparator results typically appear in information-theory papers?","Which qualifications become misleading when moved to supplements?","Have recoverable cuts been tested against full technical result sets?"]},{"hypothesis_id":"H5","title":"Scheduled silence as a sensor symbol","problem":"Battery-limited sensors repeatedly transmit predictable low-information status messages, consuming energy and channel capacity.","affected_stakeholder":"Operators of low-power sensor networks","workflow_boundary":"Per-device decision to transmit or remain silent in an assigned communication slot","failure_mode":"Silence is ambiguous between an expected state, packet loss, device failure, and lack of permission.","unit_of_analysis":"Sensor-slot under a shared silence codebook","causal_lever":"Reserve bounded slots in which silence encodes a specified state, with periodic heartbeat and timeout triggers restoring explicit transmission.","archetype_mapping":"Protected silence carries defined meaning because its boundary, decoder convention, and reintroduction conditions are explicit.","expected_value":"If reliable, predictable states consume no payload transmission while failures remain distinguishable after a bounded delay.","falsifiable_claim":"Against periodic status transmission, coded-silence scheduling will reduce radio-on time by at least 20% while keeping missed-failure probability noninferior and detection delay within one heartbeat interval.","diversity_rationale":"Uses temporal non-transmission as a distributed control symbol, differing from code-space reservation, interface emptiness, editorial omission, and human processing pauses.","mechanism_slugs":["facilitation_silence","focus_mode_or_control_hiding"],"search_questions":["Where is silence already treated as a symbol in sensor protocols?","How do loss and clock drift corrupt the meaning of silence?","What heartbeat frequency preserves failure detectability without erasing energy gains?"]}]}