{"schema_version":1,"experiment_id":"eoa_inverse_innovation_exp04_retrieval_first_paired20_20260802","cell_id":"layer_decay_and_expiration_management__aviation_aeronautics","hypothesis_id":"H2","search_queries":["aerospace CFD simulation data management archive provenance dependency certification reproducibility","aircraft certification CFD records retention analysis data FAA simulation","simulation process data management archive restore dependency CAE artifacts product","scientific workflow dependency aware data deletion garbage collection provenance archive","patent CAE simulation data archive lifecycle dependency delete","CFD simulation data lifecycle tiering archive storage product aerospace","workflow provenance garbage collection intermediate data regeneration PRUNE preserving run environment","aerospace simulation process data management version archive deletion traceability"],"sources":[{"source_id":"S1","title":"AC 20-179 — Certification Data Retention Agreements and Government Records","publisher":"Federal Aviation Administration","url":"https://www.faa.gov/documentlibrary/media/advisory_circular/ac_20-179.pdf","source_class":"OFFICIAL_GUIDANCE","claims_supported":["Specified type-design and substantiation data are permanent certification records that must not be destroyed.","Electronic custodians must maintain storage and backup capabilities, preserve accessibility and readability, and retrieve legacy data or migrate it to retrievable media."]},{"source_id":"S2","title":"Optimizing HPC components — Computational Fluid Dynamics on AWS","publisher":"Amazon Web Services","url":"https://docs.aws.amazon.com/whitepapers/latest/computational-fluid-dynamics-on-aws/optimizing-hpc-components.html","source_class":"OFFICIAL_PRODUCT_DOCUMENTATION","claims_supported":["CFD case data include CAD, meshes, input files, and output figures.","AWS documents a CFD-specific hot, warm, and cold lifecycle in which completed runs move from active compute storage to object storage and archival tiers through lifecycle rules."]},{"source_id":"S3","title":"Airbus Helicopters: Simulation Process and Data Management","publisher":"Dassault Systèmes","url":"https://www.3ds.com/insights/customer-stories/airbus-helicopters-simulation-process-data-management","source_class":"COMMERCIAL_FIRST_PARTY","claims_supported":["Airbus Helicopters uses SPDM to capture simulation inputs and results, automate workflows, and provide end-to-end traceability.","The deployment supports certification-by-analysis through accessible, structured, centrally managed simulation evidence."]},{"source_id":"S4","title":"PRUNE: A Preserving Run Environment","publisher":"IEEE eScience / University of Notre Dame Cooperative Computing Lab","url":"https://par.nsf.gov/servlets/purl/10047189","source_class":"PRIMARY_RESEARCH","claims_supported":["PRUNE represents workflows as dependency graphs linking files, tasks, environments, lineage, and progeny.","It treats derived files as disposable and regenerable while preserving task descriptions, roots, result metadata, and checksums.","It proposes eviction priorities based on age, size, graph position, likelihood of reuse, and reproduction cost, while protecting non-regenerable root files."]},{"source_id":"S5","title":"Managing Simulation Data SolidPractice","publisher":"Dassault Systèmes SOLIDWORKS","url":"https://3dswym.3dexperience.3ds.com/en/wiki/solidworks-news-info/managing-simulation-data-solidpractice_bpZB3dH1RR6lEE4_T1mRpw","source_class":"COMMERCIAL_FIRST_PARTY","claims_supported":["Simulation iterations generate large data volumes that are often destroyed or overwritten despite repeatability and audit needs.","The documented practice archives geometry, materials, loads, meshes, solver files, results, and reports with searchable metadata, versioning, approval history, and audit trails."]},{"source_id":"S6","title":"What is Simulation Data Management","publisher":"NAFEMS Simulation Data Management Working Group","url":"https://www.nafems.org/publications/resource_center/wt02/","source_class":"AUTHORITATIVE_SECONDARY","claims_supported":["The professional simulation community recognizes rapid growth in the size and complexity of simulation data as a management problem.","Simulation data management is defined as database-supported management of models, data, processes, documents, and metadata across the product lifecycle."]}],"proximity":"SUBSTANTIAL_COLLISION","closest_analogues":[{"name":"PRUNE preserving run environment","similarity":"It already combines provenance-graph traversal, classification of regenerable versus irreplaceable artifacts, multi-factor eviction ranking, deletion of selected derived files, retained audit metadata, and validated regeneration.","remaining_difference":"It is a general scientific-workflow prototype rather than an aerospace-certification deployment and does not document reversible quarantine, scheduled sampled archive restores, or the proposed hot-storage and restore-time service targets.","source_ids":["S4"]},{"name":"Aerospace SPDM deployments and commercial simulation-data practice","similarity":"Airbus and commercial SPDM practice already centralize simulation bundles, connect inputs through results, retain versions and approval history, support repeatability, and make simulation evidence traceable for certification-by-analysis.","remaining_difference":"The opened materials do not disclose an age-weighted disposition score, a hard inbound-dependency deletion gate, two-stage quarantined deletion, or recurring restore drills as one closed lifecycle.","source_ids":["S3","S5","S6"]},{"name":"AWS CFD hot-warm-cold lifecycle","similarity":"It directly applies differentiated hot, warm, cold, and deep-archive storage states to CFD artifacts including CAD, meshes, inputs, and outputs, with lifecycle-rule transitions intended to reduce cost.","remaining_difference":"It tiers by operational temperature and lifecycle rules but does not provide certification-aware dependency gating, deletion quarantine, or proof that archived cited runs remain reproducible.","source_ids":["S2"]},{"name":"FAA certification-data retention and retrievability practice","similarity":"It supplies preservation overrides, storage and backup duties, continuing accessibility, readable formats, and legacy-media retrieval requirements for certification records.","remaining_difference":"It constrains what may be demoted or deleted but does not prescribe ranked cleanup of non-record simulation artifacts or measured restore sampling.","source_ids":["S1"]}],"overlapping_components":["simulation-artifact inventory and bundle identity","provenance and dependency graph","lineage and reconstruction checks","regenerable-versus-irreplaceable classification","age-, size-, graph-position-, and recomputation-cost eviction ranking","hot/warm/cold storage tiering","archival lifecycle rules","versioning and supersession history","certification retention override","audit metadata and approval history","retrieval and format-readability obligations","checksum-based validation of regenerated outputs"],"remaining_contrastive_claim":"The bounded residual claim is that one aerospace-certification workflow can combine value-ranked bundle aging, a hard inbound-dependency disposition gate, reversible deletion quarantine, and scheduled end-to-end restore tests to reduce hot CFD storage by at least 40% while at least 95% of sampled cited runs remain reproducible within a specified restore time.","claim_falsifier":"A pre-existing product manual, patent, standard, research evaluation, or documented aerospace deployment showing that same four-part closed loop—ranked aging, hard dependency gating, reversible quarantine, and recurring restore proof—for certification-linked simulation bundles, especially with comparable storage-reduction and reproducibility measurements, would falsify the residual claim.","problem_support":"STRONG","recommendation":"RESEARCH","world_novelty_boundary":"The underlying territory is crowded and several core mechanisms are already established separately or in substantial combinations: SPDM provides lifecycle-wide traceability, CFD guidance provides hot-to-archive tiering, PRUNE provides graph-aware ranked eviction with reproducible regeneration, and FAA guidance mandates preservation and retrievability for certification records. This search did not establish prior disclosure of the exact certification-specific closed loop or its claimed 40%/95% performance trade-off; that is a bounded web-search finding, not a determination of patentability or worldwide novelty."}