{"schema_version":1,"experiment_id":"eoa_inverse_innovation_exp09_archetype_breadth150_20260804","cell_id":"negative_space_design__computer_science","arm":"BREADTH_PROBE_ONE_SHOT","candidate_id":"negative_space_design__computer_science__P1","proposal_index":1,"version":0,"title":"Protected Causal Gaps for Concurrent-System Trace Review","problem":"When engineers diagnose a concurrency failure, high-volume traces often render routine scheduler, polling, heartbeat, and retry events with the same visual weight as the few events defining the failure. The causally important interval—such as the period in which an acknowledgment or lock release should have occurred—has no protected perceptual space and is difficult to distinguish from surrounding activity.","actors":["Software engineer diagnosing a concurrency failure","Observability or tracing platform maintainer","Service owner responsible for the affected system","Trace collector supplying event and coverage metadata"],"observable_state":"A trace surrounding a failed request contains dense, uniformly presented event rows; engineers repeatedly scroll or filter between a triggering operation and its downstream timeout; routine event classes occupy most of the intervening display; and the nonoccurrence of an expected acknowledgment, release, or state transition is not explicitly bounded or distinguished from missing telemetry.","consequence":"The engineer can overlook the ordering relation or missing transition that defines the failure, form a hypothesis around an accidentally salient routine event, and spend diagnostic effort or propose a code change that does not address the observed causal break.","affected_objective":"Accurate and timely diagnosis of concurrency failures while retaining access to complete trace evidence and telemetry-coverage context.","intervention":"Add an offline trace-review mode that lets an engineer select a focal failure and its expected predecessor-successor relation. The viewer maps competing routine event classes, collapses eligible events inside that interval, and protects the resulting visual gap from other panels or annotations. The bounded gap carries a minimal frame such as \"No matching release observed for 742 ms; 18 routine events collapsed; collection coverage 99.2%,\" remains anchored between the surrounding causal events, and expands on demand to reveal every suppressed event and its provenance. Safety, coverage, clock-quality, and uncertainty indicators remain visible outside the omission boundary.","structural_mapping":[{"archetype_element":"Positive Form Relationship","domain_realization":"The protected interval clarifies the ordering relation between the initiating event, the expected but unobserved transition, and the terminal timeout."},{"archetype_element":"Attention Competition Map","domain_realization":"The viewer identifies routine scheduler, heartbeat, polling, and retry rows that compete with the focal causal relation without assuming those rows are irrelevant to every investigation."},{"archetype_element":"Omission Candidate","domain_realization":"Only event classes explicitly designated as routine for the selected diagnostic question may be collapsed; warnings, errors, coverage gaps, clock anomalies, and user-pinned events remain visible."},{"archetype_element":"Protected Empty Space","domain_realization":"The collapsed interval becomes a reserved, low-content band that other trace details and side panels cannot automatically fill."},{"archetype_element":"Absence Boundary","domain_realization":"Start and end timestamps, bounding events, collapse count, query scope, and collection coverage define exactly what the gap represents."},{"archetype_element":"Meaning-of-Absence Check","domain_realization":"The label distinguishes \"no matching event observed\" from \"event not collected,\" \"events hidden,\" and \"query still loading.\""},{"archetype_element":"Accessibility and Recoverability Guardrail","domain_realization":"Text labels do not rely on whitespace or color alone, keyboard navigation reaches the gap, and one action restores the complete ordered event list."},{"archetype_element":"Clarity or Effect Test","domain_realization":"Representative engineers interpret controlled trace cases and identify the causal break using both the protected-gap and baseline presentations."}],"mechanism_mapping":[{"mechanism_slug":"focus_mode_or_control_hiding","role":"Temporarily hides routine trace rows and secondary trace chrome within the selected diagnostic interval while keeping them recoverable.","counterfactual_removal":"Without control hiding, routine rows continue occupying the interval, so the absence has no protected perceptual role and the focal ordering relation remains crowded."},{"mechanism_slug":"empty_state_design","role":"Frames the nonoccurrence of an expected transition as an explicit state with scope, duration, coverage, and recovery information.","counterfactual_removal":"Without empty-state framing, the gap could be mistaken for successful inactivity, a loading failure, missing permissions, or absent telemetry."},{"mechanism_slug":"whitespace","role":"Creates visible separation between bounding causal events and the minimal gap annotation.","counterfactual_removal":"Without the low-content band, the annotation becomes another dense trace row rather than an absence that exposes the relation between the bounding events."}],"causal_chain":["Routine trace events and interface chrome compete with failure-defining events for the engineer's attention.","The expected but unobserved transition is represented only implicitly among dense rows, so its temporal boundary and relation to the timeout are difficult to perceive.","The reviewer selects a focal failure relation, and eligible competing rows are collapsed within a precisely bounded interval.","A protected, minimally annotated gap separates and connects the initiating event to the terminal event while stating what was not observed and how complete collection was.","The engineer can inspect the causal relation before choosing whether to expand the suppressed evidence.","If the representation works as intended, diagnostic interpretations should more often identify the trace-supported causal break without losing the ability to audit full event context."],"baseline":"A conventional chronological trace table in which all collected events appear as equally spaced rows, supplemented by manual text search, event-type filters, and unrestricted panel expansion.","nearest_rivals":["Severity or event-type filtering, which removes selected records but does not make the bounded nonoccurrence of an expected transition the organizing visual element.","Trace sampling or aggregation, which reduces event volume at collection or query time and can discard detail rather than preserving a reversible omission boundary.","Critical-path highlighting, which emphasizes present events but need not represent the meaningful absence between them.","Automated anomaly detection, which scores unusual events or intervals but substitutes a model judgment for a user-inspectable designed gap."],"remaining_contrastive_claim":"The intervention is not merely a shorter trace or a highlighted event sequence: its distinctive claim is that a reversible, explicitly bounded empty interval can make the nonoccurrence of an expected transition and its relation to surrounding events legible, while full evidence and telemetry-coverage context remain recoverable.","authority_safety":{"decision_authority":"The investigating engineer controls the local view; the observability owner approves eligible collapse rules and access to trace data; only the service owner may authorize production changes based on the diagnosis.","authorized_first_step":"Build static, offline paired renderings from sanitized or synthetic trace replays and test interpretation without changing trace collection, retention, alerting, or production behavior.","excluded_actions":["Dropping, resampling, or modifying production telemetry","Automatically declaring a root cause or recommending a production code change","Collapsing warnings, errors, coverage gaps, clock anomalies, security events, or user-pinned evidence","Presenting an unobserved event as proof that the event did not occur","Making suppressed events inaccessible to the reviewer"],"halt_rollback":"Stop the test and revert participants to the complete chronological view if a gap is generated across incomplete collection, inconsistent clocks, or an unresolved query; also halt if any participant interprets the gap as conclusive proof rather than a scoped observation. Every test view must support immediate full expansion."},"negative_tests":{"strongest_counterevidence":"On controlled cases with known trace coverage, engineers using the protected-gap view identify causal breaks no more accurately than with the baseline, frequently expand the gap before reasoning, or misinterpret collapsed or uncollected activity as genuine inactivity.","problem_falsifier":"Trace review shows that diagnostic failures arise primarily from missing instrumentation, incorrect timestamps, or absent domain knowledge rather than competition among visible events; adding perceptual space would then address the wrong cause.","intervention_falsifier":"The bounded gap causes reviewers to miss a relevant event that was present in the recoverable collapsed set, or reviewers cannot reliably distinguish \"not observed\" from \"not collected\" after reading the frame.","risks":["A collapsed routine event may be causally relevant in an atypical failure.","Whitespace may create false confidence that nothing happened during the interval.","Coverage percentages may conceal event-specific instrumentation gaps.","Hidden controls may reduce discoverability for novice or keyboard-only users.","Collapse rules may encode maintainers' existing diagnostic assumptions and steer reviewers away from alternatives.","Extra gap annotations may recreate the clutter the intervention is intended to remove."]},"next_evidence_step":"Create paired baseline and protected-gap renderings for six sanitized or synthetic concurrency traces: two with a genuinely absent expected transition, two with the transition hidden by dense routine activity, and two with incomplete telemetry. In a counterbalanced session, ask 6–10 engineers to state what happened, distinguish unobserved from uncollected events, name the next inspection action, and expand evidence when desired. Record interpretation errors, causal-break identification, expansion behavior, and accessibility failures; do not connect the prototype to production systems.","prior_art_status":"UNSEARCHED","diversity_from_prior_proposals":"No other experiment candidates or proposals were inspected; this one-shot candidate was derived only from the supplied archetype record and computer-science domain card.","revision_record":{"parent_version":null,"progress_targets_addressed":[],"conceptual_changes":[],"operational_changes":[],"evidence_changes":[],"claim_changes":[]}}