{"schema_version":1,"experiment_id":"eoa_inverse_innovation_exp04_retrieval_first_paired20_20260802","cell_id":"negative_space_design__information_theory","round_index":0,"assessments":[{"hypothesis_id":"H1","search_queries":["site:pubmed.ncbi.nlm.nih.gov wakeful rest memory consolidation learning experiment","segmented multimedia learning pauses study technical instruction","blank screen pause versus summary slide learning experiment","event boundaries memory blank interval educational video"],"sources":[{"source_id":"H1-S1","title":"An Investigation of the Effects of Different Types of Activities during Pauses in a Segmented Instructional Animation","publisher":"Educational Technology & Society / ERIC","url":"https://eric.ed.gov/?id=EJ1031133","source_class":"PRIMARY_RESEARCH","claims_supported":["System-controlled pauses between instructional-animation segments have already been compared across passive and active pause activities.","Active free-recall pauses outperformed passive no-reflection and reflection pauses on recall and transfer."]},{"source_id":"H1-S2","title":"The effects of wakeful rest on memory consolidation in an online memory study","publisher":"PubMed, U.S. National Library of Medicine","url":"https://pubmed.ncbi.nlm.nih.gov/36389509/","source_class":"PRIMARY_RESEARCH","claims_supported":["Brief wakeful-rest intervals after encoding have been experimentally compared with cognitively active distractor conditions.","The reported experiments found better recall after rest than after the tested distractor conditions."]},{"source_id":"H1-S3","title":"Wakeful rest and memory consolidation in an ecologically valid educational setting: no benefit over distractor tasks","publisher":"PubMed, U.S. National Library of Medicine","url":"https://pubmed.ncbi.nlm.nih.gov/41746415/","source_class":"PRIMARY_RESEARCH","claims_supported":["A randomized educational-setting study compared eight minutes of wakeful rest with social media, mathematics, and interference-text activities.","Wakeful rest did not consistently improve delayed conceptual understanding or retention, showing that educational rest benefits are not assured."]}],"closest_analogue":"Cheon et al.'s system-controlled segmented instructional animation, especially its passive no-reflection pause condition.","overlap":"Both place content-free pauses at instructional segment boundaries to limit interference and measure subsequent learning. Existing work also directly varies what learners do during those pauses.","remaining_difference":"The located studies do not directly compare 8–15-second minimally cued blank frames with equal-duration recap slides at validated information-theory derivation boundaries, using 24-hour adjacent-concept discrimination and abandonment as joint outcomes.","classification":"POSSIBLE_DISTINCTION","disposition":"ADVANCE","rationale":"Boundary pauses and wakeful rest are established, so the broad mechanism is not new. The unusually short blank-versus-recap comparison, information-theory transition selection, and delayed discrimination endpoint remain a concrete testable combination not resolved by this shallow screen."},{"hypothesis_id":"H2","search_queries":["site:grafana.com/docs panel no data state missing series zero network monitoring","site:docs.datadoghq.com no data monitor zero missing data","network monitoring dashboard distinguish zero traffic missing telemetry permission denied empty state","site:prometheus.io docs absent missing time series zero"],"sources":[{"source_id":"H2-S1","title":"No Data and Error states","publisher":"Grafana Labs","url":"https://grafana.com/docs/grafana/latest/alerting/fundamentals/alert-rule-evaluation/nodata-and-error-states/","source_class":"OFFICIAL_PRODUCT_DOCUMENTATION","claims_supported":["Grafana distinguishes successful queries returning no points from query errors or timeouts.","It exposes configurable responses and state-reason annotations, including No Data, Error, MissingSeries, Paused, and RuleDeleted."]},{"source_id":"H2-S2","title":"Handle missing data in Grafana Alerting","publisher":"Grafana Labs","url":"https://grafana.com/docs/grafana/latest/alerting/guides/missing-data/","source_class":"OFFICIAL_PRODUCT_DOCUMENTATION","claims_supported":["Grafana explicitly distinguishes connectivity error, complete No Data, and a Missing Series.","The documentation gives cause-specific detection and handling procedures and warns that missing observations can otherwise fail silently."]},{"source_id":"H2-S3","title":"Query functions","publisher":"Prometheus","url":"https://prometheus.io/docs/prometheus/2.55/querying/functions/","source_class":"OFFICIAL_PRODUCT_DOCUMENTATION","claims_supported":["Prometheus provides absent() and absent_over_time() specifically to represent and alert on missing time series.","Missing observations are handled as a distinct condition rather than being represented as a measured zero."]}],"closest_analogue":"Grafana Alerting's explicit No Data, Error, Missing Series, and state-reason handling.","overlap":"The analogue classifies empty observations by cause, prevents missing evidence from appearing healthy, preserves monitoring context, and offers cause-dependent handling or recovery configuration.","remaining_difference":"The hypothesis adds a unified panel-level taxonomy covering measured zero traffic, filtering, and permission denial, plus a controlled operator study of one displayed recovery action per cause.","classification":"OBVIOUS_COLLISION","disposition":"REJECT","rationale":"The central intervention—turning generic monitoring emptiness into typed, actionable absence—is already implemented in first-party monitoring products. Expanding the taxonomy and measuring a particular interface may be useful product evaluation, but it does not clear this shallow collision screen."},{"hypothesis_id":"H3","search_queries":["error detecting code unused codewords received word not valid codeword textbook","site:ieee.org error-detecting code valid codewords invalid codewords minimum distance standard","reserved codewords error detection invalid codeword safety communication protocol","coding theory rejection regions reserved code space undetected error probability"],"sources":[{"source_id":"H3-S1","title":"8.2: Error-Detecting and Correcting Codes","publisher":"Mathematics LibreTexts","url":"https://math.libretexts.org/Bookshelves/Abstract_and_Geometric_Algebra/Abstract_Algebra%3A_Theory_and_Applications_%28Judson%29/08%3A_Algebraic_Coding_Theory/8.02%3A_Error-Detecting_and_Correcting_Codes","source_class":"AUTHORITATIVE_SECONDARY","claims_supported":["A code uses only selected n-tuples as valid codewords.","A decoder can reject received non-codewords as errors, with redundancy imposing a transmission-efficiency cost."]},{"source_id":"H3-S2","title":"Linear code","publisher":"IEEE Technology Navigator","url":"https://technav.ieee.org/topic/linear-code/","source_class":"OFFICIAL_ORGANIZATION_DATA","claims_supported":["Valid codewords occupy a structured subspace, while a nonzero syndrome identifies a received word that violates the code constraints.","Minimum distance determines detectable errors, and code rate trades off against error-control capability."]},{"source_id":"H3-S3","title":"Undetected Error Probability in the Short Blocklength Regime: Approaching Finite-Blocklength Bounds with Polar Codes","publisher":"arXiv","url":"https://arxiv.org/abs/2503.02782","source_class":"PRIMARY_RESEARCH","claims_supported":["Recent short-blocklength research explicitly studies the tradeoff between undetected-error probability and total error probability.","It compares CRC-based reserved detection redundancy with a decoder rejection threshold under specified channel models."]}],"closest_analogue":"Classical error-detecting block codes with valid-codeword subsets, parity-check syndromes, and decoder rejection of non-codewords.","overlap":"Both intentionally leave most representable blocks outside the valid codebook, treat entry into that invalid region as detectable corruption, and trade payload rate for lower undetected-error probability.","remaining_difference":"Only a parameterized optimization remains: whether a specially shaped reserved region can meet the proposed 25% detection improvement at no more than 5% rate loss under a chosen short-message channel, compared with parity or threshold rejection.","classification":"OBVIOUS_COLLISION","disposition":"REJECT","rationale":"Unused representable words and rejection regions are the standard structure of error-detecting codes. The proposed numerical tradeoff is a benchmark within established coding theory rather than a distinct treatment concept."},{"hypothesis_id":"H4","search_queries":["supplementary material move secondary results main text readability experiment scientific papers","journal author guidelines supplementary material essential results main text information theory","reader comprehension concise results section redundant comparisons experiment scientific writing","recoverable progressive disclosure technical paper supplementary appendix reader study"],"sources":[{"source_id":"H4-S1","title":"Preparing your material","publisher":"Nature Methods","url":"https://www.nature.com/nmeth/submission-guidelines/preparing-your-submission","source_class":"OFFICIAL_GUIDANCE","claims_supported":["Nature Methods directs authors to keep a detailed account of main findings and interpretation-relevant material in the manuscript.","Relevant material not directly describing the main findings may be placed in peer-reviewed supplementary files."]},{"source_id":"H4-S2","title":"Manuscript preparation","publisher":"Journal of Experimental Biology, The Company of Biologists","url":"https://journals.biologists.com/jeb/pages/manuscript-prep","source_class":"OFFICIAL_GUIDANCE","claims_supported":["Essential interpretive information must remain in the main paper while supporting data may be placed in supplementary information.","Supplementary items remain peer reviewed, recoverable, and linked from the main article."]},{"source_id":"H4-S3","title":"Better Writing in Scientific Publications Builds Reader Confidence and Understanding","publisher":"Frontiers in Psychology","url":"https://www.frontiersin.org/journals/psychology/articles/10.3389/fpsyg.2021.714321/full","source_class":"PRIMARY_RESEARCH","claims_supported":["A randomized reader experiment found that more accessible scientific abstracts improved readability, understanding, and confidence.","That experiment manipulated writing style rather than selectively relocating redundant technical comparisons while preserving qualifications."]}],"closest_analogue":"Journal supplementary-information policies that keep claim-essential results in the main text and relocate supporting material to linked, peer-reviewed supplements.","overlap":"The established practice separates load-bearing findings from secondary detail, requires preservation of interpretive context, and keeps removed evidence recoverable through explicit supplementary references.","remaining_difference":"The located sources do not directly test claim-centered cuts of redundant bounds or estimators in information-theory manuscripts against complete result sets, measuring identification time and noninferior recall of qualifications.","classification":"POSSIBLE_DISTINCTION","disposition":"ADVANCE","rationale":"Recoverable supplementary off-loading is established, but the proposed controlled reader test targets a bounded, discipline-specific curation rule and guards against qualification loss. That empirical distinction survives this shallow screen."},{"hypothesis_id":"H5","search_queries":["wireless sensor network silence encodes state scheduled slots heartbeat failure detection","event-triggered communication sensor transmits only when state changes energy savings heartbeat","send-on-delta sensor network periodic heartbeat silence packet loss failure","standard discontinuous transmission silence descriptor sensor network protocol"],"sources":[{"source_id":"H5-S1","title":"Send-On-Delta Concept: An Event-Based Data Reporting Strategy","publisher":"Sensors","url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC3865911/","source_class":"PRIMARY_RESEARCH","claims_supported":["Send-on-delta sensor networks suppress transmissions while the measured state remains within a defined region and transmit upon meaningful change.","The approach reduces reports and energy use relative to periodic collection and can support heartbeat updates."]},{"source_id":"H5-S2","title":"Heartbeat design for energy-aware IoT: Are your sensors alive?","publisher":"Expert Systems with Applications","url":"https://www.sciencedirect.com/science/article/pii/S095741741930185X","source_class":"PRIMARY_RESEARCH","claims_supported":["The non-receipt of an event-triggered sensor message can be interpreted as persistence of the prior state, but this makes device health opaque.","Periodic heartbeat design explicitly trades communication energy against failure-detection delay and was experimentally evaluated."]},{"source_id":"H5-S3","title":"Trigger Sensors Aware State - State Change","publisher":"Monnit","url":"https://support.monnit.com/article/97-trigger-sensors-aware-state-state-change","source_class":"COMMERCIAL_FIRST_PARTY","claims_supported":["A commercial sensor platform transmits state-change events immediately while using scheduled heartbeats for ordinary status delivery.","Heartbeat intervals and state-dependent transmission behavior are configurable first-party product features."]}],"closest_analogue":"Event-triggered or send-on-delta sensor reporting combined with periodic health heartbeats, as analyzed in heartbeat design for energy-aware IoT.","overlap":"Both suppress predictable status transmissions, let non-transmission imply persistence of an expected state, restore explicit communication on a state change, and use heartbeats or timeouts to bound failure ambiguity.","remaining_difference":"The hypothesis fixes the suppression rule to assigned slots and asks whether one implementation can achieve its stated 20% radio-on-time reduction with noninferior missed-failure probability and a one-heartbeat delay bound.","classification":"OBVIOUS_COLLISION","disposition":"REJECT","rationale":"The closest research analogue already combines transmission suppression, implicit state persistence, heartbeat-based liveness, energy measurement, and failure-delay optimization. Slotting and the proposed thresholds are implementation parameters, not a distinct treatment."}],"nominated_ids":["H1","H4"],"replenishment_recommended":false}