{"schema_version":1,"research_id":"eoa_inverse_innovation_exp06_external_evaluation_20260803","source_assessment_id":"predictive_residual_processing__criminology_forensic:P1:v0","cell_id":"predictive_residual_processing__criminology_forensic","search_queries":["digital forensic timeline analysis event overload examiner timeline tools research paper","NIST digital forensics timeline analysis guidance forensic examiner validation software tools","digital forensic timeline anomaly detection prior art event correlation research","forensic science laboratory digital evidence backlog workforce needs official report","site:timesketch.org official timeline analyzer anomaly detection filters digital forensic timeline","site:swgde.org digital evidence forensic validation software best practices PDF","site:gov.uk forensic science regulator code digital forensics validation software methods","site:bls.gov forensic science technicians wages 2025","Timesketch official documentation analyzers timeline search filters","Plaso official documentation log2timeline digital forensic timeline filters","digital forensic timeline event reconstruction machine learning anomaly detection paper DFRWS","digital forensic examiner cognitive overload timeline visualization usability study"],"sources":[{"source_id":"S1","title":"Needs Assessment of Forensic Laboratories and Medical Examiner/Coroner Offices: A Report to Congress","publisher":"Office of Justice Programs, U.S. Department of Justice","url":"https://www.ojp.gov/library/publications/needs-assessment-forensic-laboratories-and-medical-examinercoroner-offices","source_class":"GOVERNMENT_OR_REGULATOR","publication_date":"2019","accessed_at":"2026-08-03","claims_supported":["Public forensic providers report workload, backlog, personnel, equipment, training, quality-assurance, and workforce-resilience needs.","The assessment identifies a need for sufficient, consistent funding and strategic planning to process increasing quantities of forensic evidence.","Public forensic laboratories are identifiable potential adopters and funders, although this source does not express demand for residual-first timeline review specifically."]},{"source_id":"S2","title":"Digital Forensics","publisher":"National Institute of Standards and Technology","url":"https://www.nist.gov/programs-projects/digital-forensics","source_class":"GOVERNMENT_OR_REGULATOR","publication_date":"undated","accessed_at":"2026-08-03","claims_supported":["NIST's Computer Forensics Tool Testing program develops tool specifications, procedures, criteria, test sets, and test hardware.","NIST's Computer Forensic Reference Data Sets provide documented simulated digital evidence suitable as a starting resource for bounded testing.","Independent tool testing and reference datasets are established components of digital-forensic quality assurance."]},{"source_id":"S3","title":"Method validation in digital forensics (accessible), FSR-G-218","publisher":"UK Forensic Science Regulator and Home Office","url":"https://www.gov.uk/government/publications/method-validation-in-digital-forensics/method-validation-in-digital-forensics-accessible","source_class":"OFFICIAL_GUIDANCE","publication_date":"2024-07-22","accessed_at":"2026-08-03","claims_supported":["A novel digital-forensic method requires developmental validation and substantially more objective testing than an adopted method with existing validation data.","Validation must establish fitness for purpose, manage risks to critical findings, and include suitable experimental design, software testing, and method-level testing.","Scripts and tools that extract or present forensic data require validation, and gaps in external validation evidence must be filled by the implementing organization.","This guidance supports laboratory authorization of retrospective validation, but its legal force and accreditation context are specific to England and Wales."]},{"source_id":"S4","title":"Using log2timeline.py — Plaso documentation","publisher":"Plaso Project","url":"https://plaso.readthedocs.io/en/stable/sources/user/Using-log2timeline.html","source_class":"OFFICIAL_PRODUCT_DOCUMENTATION","publication_date":"2026-07-20","accessed_at":"2026-08-03","claims_supported":["Plaso already extracts complete multi-artifact timelines with source and collection metadata.","Plaso supports targeted triage through collection filter files that restrict which paths are processed.","This is established adjacent practice, but the documented filter mechanism does not provide a versioned generative expectation, typed prediction residuals, reconstruction audits, or drift-triggered full-review fallback."]},{"source_id":"S5","title":"Create an analyzer — Timesketch","publisher":"Timesketch Project","url":"https://timesketch.org/developers/analyzer-development/","source_class":"OFFICIAL_PRODUCT_DOCUMENTATION","publication_date":"undated","accessed_at":"2026-08-03","claims_supported":["Timesketch analyzers can automatically or manually search, correlate, enrich, tag, label, prioritize, and summarize timeline events.","Timesketch supplies a practical extension point and analyst interface in which a prototype residual-scoring analyzer could be implemented.","Existing analyzer functionality substantially overlaps automated triage and prioritization but does not, by itself, establish the proposal's synchronized predictive reconstruction, independent raw audit, protected bypass, or decompression controls."]},{"source_id":"S6","title":"An Automated Timeline Reconstruction Approach for Digital Forensic Investigations","publisher":"Digital Forensics Research Workshop","url":"https://dfrws.org/presentation/an-automated-timeline-reconstruction-approach-for-digital-forensic-investigations/","source_class":"PRIMARY_RESEARCH","publication_date":"2012","accessed_at":"2026-08-03","claims_supported":["A single disk can yield several million low-level forensic timeline events.","Prior research automatically recognized high-level event patterns from low-level events and preserved provenance back through supporting events to raw data.","Pattern-based abstraction with drill-down provenance is close prior art, but the described work does not establish model-version handshakes, missing/extra/displaced structured residuals, randomized suppression audits, or automatic fallback to complete review."]},{"source_id":"S7","title":"Forensic Science Technicians: Occupational Outlook Handbook","publisher":"U.S. Bureau of Labor Statistics","url":"https://www.bls.gov/ooh/life-physical-and-social-science/forensic-science-technicians.htm","source_class":"OFFICIAL_ORGANIZATION_DATA","publication_date":"2025","accessed_at":"2026-08-03","claims_supported":["The May 2024 median annual wage for forensic science technicians was $67,440, with the highest decile above $110,710.","Most forensic science technicians work for state or local government, supporting public laboratories as the most plausible adopter class.","The wage data provides a labor-cost anchor, but not a complete digital-forensic software, infrastructure, accreditation, or procurement estimate."]},{"source_id":"S8","title":"SoK: Timeline-based event reconstruction for digital forensics: Terminology, methodology, and current challenges","publisher":"Forensic Science International: Digital Investigation / DFRWS","url":"https://dfrws.org/wp-content/uploads/2025/05/SoK-Timeline-based-event-reconstruction-for-digital-forensics-Terminology-methodology-and-current-challenges.pdf","source_class":"PRIMARY_RESEARCH","publication_date":"2025","accessed_at":"2026-08-03","claims_supported":["Timeline data volume makes analysis time-consuming, overloads examiners, and creates compute, storage, and visualization burdens.","Aggregation and visualization can streamline analysis but may lose granularity or context.","Automation can overlook nuances, introduce error, and conflate extracted facts with inferred events; transparency, validation, uncertainty, and human interpretation remain important.","The paper reports that 80.3% of respondents in the cited 2024 DFPulse practitioner survey use timelines often or almost always, demonstrating workflow relevance.","Software updates, extraction errors, source conflicts, clock issues, anti-forensics, and tool limits create continuing feasibility and safety constraints."]}],"problem_evidence":{"support":"STRONG","rationale":"Primary research directly reports examiner overload and time/resource costs from large forensic timelines, including several million low-level events from one disk. It also confirms that aggregation can remove context and that automation can introduce interpretive error. The general forensic workload and funding need is independently visible in a U.S. government needs assessment. Evidence does not establish how prevalent the exact residual-review problem is in any named laboratory or whether existing searches and filters already eliminate most of the burden there.","source_ids":["S1","S6","S8"]},"stakeholder_evidence":{"support":"MODERATE","rationale":"Public forensic laboratories are identifiable adopters, laboratory management is a credible method authorizer, NIST supplies tool-testing infrastructure, and the U.S. needs assessment records demand for capacity, funding, training, and quality assurance. The UK regulator provides a concrete authorization and validation pathway for novel digital-forensic methods. No source expresses demand for this specific residual-first architecture, commits a partner or budget, or establishes authority outside the relevant jurisdiction.","source_ids":["S1","S2","S3","S7"]},"prior_art":{"proximity":"ADJACENT_PRIOR_ART","closest_analogues":[{"name":"Automated high-level timeline reconstruction with provenance","similarity":"Recognizes patterns among millions of low-level timeline events, creates higher-level events, and preserves drill-down provenance to raw data.","remaining_difference":"No evidence of a synchronized expected-event model producing typed missing, extra, reordered, displaced, or attribute-change residuals with random raw-window audits and invalidity-triggered full-review fallback.","source_ids":["S6"]},{"name":"Plaso targeted timeline extraction and filtering","similarity":"Creates complete multi-artifact timelines with metadata and supports targeted filters for triage.","remaining_difference":"Filters are declared inclusion rules rather than residuals against a versioned generative baseline; the documented workflow lacks reconstruction-error measurement, model synchronization, and independent suppression auditing.","source_ids":["S4"]},{"name":"Timesketch analyzers","similarity":"Automates timeline search, correlation, enrichment, prioritization, and analyst-facing summaries and therefore supplies much of the implementation substrate.","remaining_difference":"The generic analyzer framework does not itself provide the proposal's frozen predictor, typed residual semantics, protected full-context bypass, raw audit sample, or automatic decompression contract.","source_ids":["S5"]},{"name":"Timeline aggregation, organization, and visualization practice","similarity":"Reduces analyst burden by combining or visually summarizing related events.","remaining_difference":"Prior literature warns that aggregation can lose context; the proposal's remaining contrast is an explicit reconstruction-and-audit safety envelope rather than aggregation alone.","source_ids":["S8"]}],"distinctive_claim_remaining":"For a frozen, narrowly versioned operating-system/application scope, presenting typed prediction residuals with reconstructible local context, protected full-context bypasses, independent random raw-window auditing, and automatic fallback will reduce examiner review time or time-to-material-event inspection versus both complete chronological review and the strongest static-filter/analyzer workflow, without increasing material-event misses, protected-context misses, interpretive errors, or total audit-plus-maintenance burden beyond preregistered tolerances.","confidence":"MODERATE"},"implementation_evidence":{"support":"MODERATE","rationale":"Complete extraction, filtering, analyzer execution, event tagging, provenance, simulated reference datasets, and formal validation workflows already exist, making a read-only prototype technically plausible. The hard unverified components are constructing stable expected-event bundles across software versions, representing negative evidence such as missing events, calibrating consequence weights without investigative bias, measuring semantic reconstruction, keeping the raw audit independent, and integrating reliable fallback and disclosure logs. Use on real case material also requires jurisdiction-specific privacy, discovery, accreditation, admissibility, security, and records-retention review.","source_ids":["S2","S3","S4","S5","S6","S8"]},"scores":{"meaningful_impact":{"score":4,"rationale":"The documented scale and examiner overload make reduced review burden potentially material, while a missed inculpatory, exculpatory, or integrity event can have serious consequences. Realized impact is unmeasured.","source_ids":["S1","S6","S8"]},"stakeholder_pull":{"score":3,"rationale":"Laboratories visibly need capacity, funding, training, and quality assurance, but no laboratory requests or commits to this specific architecture.","source_ids":["S1","S2","S3"]},"incremental_advantage":{"score":3,"rationale":"Reconstruction auditing, version synchronization, protected bypasses, and fail-open full review could improve on static filters and generic analyzers, but no comparative performance evidence exists.","source_ids":["S4","S5","S6","S8"]},"distinctiveness_plausibility":{"score":3,"rationale":"The integrated control package was not found in the sampled closest prior art, although automated pattern reconstruction, provenance, filtering, prioritization, and timeline abstraction are established separately.","source_ids":["S4","S5","S6","S8"]},"technical_implementability":{"score":3,"rationale":"Existing open-source timeline and analyzer infrastructure makes a prototype feasible, but stable version-scoped prediction, negative-event modeling, semantic reconstruction, and independent auditing remain technically demanding.","source_ids":["S2","S4","S5","S8"]},"adoption_authority_feasibility":{"score":3,"rationale":"A laboratory can authorize retrospective validation through its quality system, but operational use requires method validation, configuration control, disclosure, and jurisdiction-specific legal review.","source_ids":["S1","S3"]},"evidence_readiness":{"score":2,"rationale":"The problem and adjacent components are documented, but there is no direct effectiveness, error-rate, subgroup, workflow, or net-cost evidence for the complete intervention.","source_ids":["S3","S8"]},"safety_net_benefit":{"score":4,"rationale":"Immutable source preservation, raw audit samples, protected bypasses, frozen models, provenance, and fallback are well targeted to recognized automation and context-loss hazards, but their reliability has not been tested.","source_ids":["S2","S3","S6","S8"]},"scalability":{"score":3,"rationale":"Software analyzers can scale across cases, but each operating-system, application, parser, and artifact version expands reference-model maintenance and revalidation work, potentially erasing the attention savings.","source_ids":["S3","S4","S5","S8"]}},"score_confidence":"MODERATE","costs":{"first_evidence":{"band_2026_usd":"50K_TO_250K","scope":"One preregistered offline crossover study using 4–6 synthetic or legally reusable images, 24–36 matched timeline sections, approximately 8–12 examiners, one frozen model, one static-filter comparator, independent labeling/audit, analysis, and a validation report.","confidence":"MODERATE","assumptions":["No live-case deployment or production accreditation is included.","Plaso, Timesketch, and NIST reference datasets reduce tool and dataset acquisition costs.","The 2024 BLS technician wage is escalated to 2026 and multiplied for benefits, overhead, specialist engineering, and study administration.","A cooperating laboratory supplies examiner access and secure compute without a separate commercial license fee."],"source_ids":["S2","S3","S4","S5","S7"]},"initial_deployment_startup":{"band_2026_usd":"250K_TO_1M","scope":"Production-quality read-only integration for one laboratory and one tightly bounded software/artifact scope, including reference-model construction, security review, audit logging, UX work, test automation, documentation, and developmental validation.","confidence":"LOW","assumptions":["One existing timeline platform is extended rather than replaced.","The forensic image and complete extraction remain in the laboratory's existing evidence system.","Two to six staff-equivalent years are spread across engineering, forensic science, quality management, security, and training.","Procurement, accreditation, and legal-review costs vary substantially by jurisdiction."],"source_ids":["S3","S4","S5","S7"]},"operational_launch":{"band_2026_usd":"1M_TO_5M","scope":"Controlled launch across several teams or laboratories with multiple supported operating-system/application versions, validated fallback, independent audit operations, training, security hardening, configuration management, and monitoring.","confidence":"LOW","assumptions":["Operational launch follows successful retrospective and prospective shadow-mode studies.","Several forensic and engineering staff are required for model curation, validation, incident response, and user support.","No estimate is included for replacing evidence-management or acquisition infrastructure.","Each material parser or software-version change can trigger partial revalidation."],"source_ids":["S1","S3","S5","S7","S8"]},"annual_recurring":{"band_2026_usd":"250K_TO_1M","scope":"Annual model/artifact research, software and parser version maintenance, revalidation, security and infrastructure, raw-audit review, examiner training, monitoring, and quality reporting for a bounded multi-team service.","confidence":"LOW","assumptions":["Approximately three to eight blended staff equivalents or contracted equivalents are required, depending on supported scope.","Open-source software limits license costs but does not eliminate engineering, hosting, security, validation, or support costs.","Rapid operating-system and application changes are a primary recurring cost driver.","The estimate excludes litigation-specific expert costs and unusually large cloud-storage migrations."],"source_ids":["S3","S4","S5","S7","S8"]}},"verified_pipeline_gates":{"externally_supported_problem":{"status":"YES","reason":"Primary research directly documents very large timelines, time-consuming analysis, examiner overload, and context-loss risks from reduction.","source_ids":["S6","S8"]},"externally_credible_adopter_or_authorizer":{"status":"YES","reason":"Public forensic laboratories are identifiable adopters; laboratory quality management is a credible retrospective-method authorizer under established validation practice, although no committed partner was found.","source_ids":["S1","S3","S7"]},"distinct_testable_incremental_claim":{"status":"YES","reason":"The claim can be tested against complete chronological review and static filtering/analyzers on joint review-time, coverage, interpretation, reconstruction, audit, and total-burden outcomes.","source_ids":["S4","S5","S6","S8"]},"bounded_next_evidence_step":{"status":"YES","reason":"A frozen-model, offline crossover study on synthetic or legally reusable images is bounded, reversible, comparator-equipped, and capable of producing a decisive failure result.","source_ids":["S2","S3"]},"no_unresolved_safety_or_authority_stop":{"status":"YES","reason":"For the retrospective first step only, immutable full evidence, no live-case use, independent raw audit, immediate fallback, and laboratory authorization bound the principal hazards. This does not clear operational deployment or jurisdiction-specific legal requirements.","source_ids":["S2","S3","S8"]},"credible_cost_scope_and_range":{"status":"YES","reason":"The four ranges are broad, explicitly scoped, and anchored to official labor data and the documented extent of developmental validation and recurring version maintenance; confidence beyond the first study remains low.","source_ids":["S3","S7","S8"]}},"next_evidence_step":"Pre-register an offline, randomized crossover study with approximately 8–12 qualified examiners, 4–6 synthetic or legally reusable closed-case images, and 24–36 matched sections restricted to one operating-system/application/version scope. Freeze the predictor, parser set, consequence table, bypass rules, and audit sampler before scoring. Independently label ordinary background, neutral user activity, inculpatory and exculpatory material, integrity and acquisition failures, deletions, clock discontinuities, and unsupported-context events. Compare (A) complete chronological review, (B) the strongest preregistered Plaso/Timesketch static-filter or analyzer workflow, and (C) residual-first review in randomized order. Measure analyst minutes, time to first material-event inspection, material and protected-context recall, false escalations, interpretation errors, semantic reconstruction disagreements, subgroup/artifact-class recall, fallback behavior, and total engineering-plus-audit burden. Falsify the intervention if it produces any protected-bypass failure; any unreviewed material-event suppression; lower material-event or exculpatory recall than either comparator beyond a zero-or-predeclared noninferiority tolerance; recurrent reconstruction or version mismatch; systematic artifact/user-context disparity; no meaningful effort reduction; or audit, synchronization, and maintenance burden comparable to complete review. The study licenses no live-case deployment.","blocking_evidence":["No direct evidence that a named laboratory experiences enough predictable-background timeline burden to adopt this intervention.","No blinded comparative evidence on review time, material-event recall, exculpatory recall, interpretation error, or net workload.","No validated reference model or demonstrated stability envelope across operating-system, application, parser, locale, clock, and acquisition versions.","No evidence that protected bypass, independent raw sampling, model-version checks, and full-review fallback operate reliably together.","No jurisdiction-specific determination covering privacy, disclosure, accreditation, admissibility, retention, defense access, and responsibility for suppression errors.","No procurement-grade cost estimate from a prospective laboratory or implementation vendor."],"research_disposition":"PARTNERED_RESEARCH_PROGRAM","world_novelty_boundary":"The search assessed only eight directly opened sources and found adjacent products, practices, guidance, and research. World novelty, patentability, freedom to operate, market size, and realized impact remain unmeasured; absence of the complete control package from these sources is not evidence that it does not exist elsewhere.","arm":"COMPLETE_PROPOSAL_PORTFOLIO","candidate_version":0,"controller_recommendation":{"action":"STOP_EMPIRICAL_RESEARCH_NEEDED","repairable":false,"material_progress_observed":true,"progress_targets":["Secure a forensic laboratory or accredited training-laboratory partner with authority and lawful access to synthetic or reusable images.","Preregister the frozen-model crossover protocol, strongest static-filter/analyzer comparator, sampling plan, tolerances, subgroup slices, and stop rules.","Produce independent ground truth and measure material, exculpatory, integrity, and protected-context recall rather than anomaly detection alone.","Demonstrate semantic reconstruction fidelity, version-mismatch rejection, protected bypass, random raw-audit independence, and tested full-review fallback.","Quantify total examiner, audit, engineering, validation, infrastructure, and recurring model-maintenance burden against full review.","Complete jurisdiction-specific quality, privacy, disclosure, defense-access, security, retention, and admissibility review before any live-case consideration."],"reason":"Bounded web research verifies the problem, an authorization pathway, adjacent prior art, and technical plausibility but cannot establish the proposal's comparative safety, effectiveness, or net workload. Those questions require proprietary or specially constructed forensic images, qualified examiners, independent labeling, and controlled workflow testing. Under the controller rule, the candidate must stop for empirical research rather than receive a web-research recommendation."},"proposal_index":1}