{"schema_version":1,"research_id":"eoa_inverse_innovation_exp06_external_evaluation_20260803","source_assessment_id":"predictive_residual_processing__criminology_forensic:P2:v0","cell_id":"predictive_residual_processing__criminology_forensic","search_queries":["site:nist.gov forensic evidence chain of custody laboratory standard evidence handling","site:ojp.gov forensic laboratory evidence tracking chain of custody backlog quality assurance","forensic evidence management system barcode chain of custody audit trail official product","forensic laboratory LIMS anomaly detection custody workflow transitions research","NIST evidence management survey report evidence room inventory audit challenges PDF","site:ojp.gov evidence management survey property room chain custody lost evidence audit","site:gao.gov forensic laboratory evidence management chain custody workload","forensic evidence tracking software procurement contract laboratory LIMS price","process mining conformance checking forensic chain of custody evidence workflow anomaly detection","finite state model evidence chain of custody anomaly detection forensic laboratory","predictive process monitoring anomaly detection workflow transition residual human review research paper","RFID forensic evidence chain custody tracking study physical evidence laboratory"],"sources":[{"source_id":"S1","title":"Evidence Management Survey Results","publisher":"National Institute of Standards and Technology","url":"https://www.nist.gov/forensic-science/interdisciplinary-topics/evidence-management/evidence-management-survey-results","source_class":"OFFICIAL_ORGANIZATION_DATA","publication_date":"2026-04-27","accessed_at":"2026-08-03","claims_supported":["NIST and NIJ surveyed evidence handlers about collection, storage, transfer, disposition, policies, and evidence-management problems.","The survey and reports were developed with federal, state, local, laboratory, court, and other physical-evidence stakeholders.","NIJ sponsored the work pursuant to federal evidence-retention responsibilities."]},{"source_id":"S2","title":"Evidence Management Steering Committee Report: Results of the 2021 National Evidence Handlers Survey","publisher":"NIST/NIJ Evidence Management Steering Committee","url":"https://nvlpubs.nist.gov/nistpubs/SpecialPublications/NIST.SP.1500-33B.pdf","source_class":"PRIMARY_RESEARCH","publication_date":"2025-09-01","accessed_at":"2026-08-03","claims_supported":["Among 1,085 respondents, 13% reported never conducting a complete evidence-room inventory and 31% reported annual inventories.","Among 1,066 respondents, 73% reported evidence/property-room audits, 20% reported none, and 7% did not know.","The survey documents substantial variation in inventory and audit practice but does not measure custody-discrepancy detection latency or reviewer attention per transition."]},{"source_id":"S3","title":"Evidence Management Steering Committee Report: Opportunities to Strengthen Evidence Management Processes","publisher":"NIST/NIJ Evidence Management Steering Committee","url":"https://doi.org/10.6028/NIST.SP.1500-33A","source_class":"OFFICIAL_GUIDANCE","publication_date":"2025-09-18","accessed_at":"2026-08-03","claims_supported":["Broken custody through mishandling or documentation lapses can compromise an item's evidentiary value.","Of 1,443 survey respondents, 94% directly interacted with evidence; common duties included storing, receiving, securing, and marking evidence.","Laboratory directors and quality-assurance managers are responsible for evidence-management policies, procedures, reviews, and audits.","Among respondents reporting audits, 81% said audit findings require corrective action.","The report requires documented workflows, authorization, verification, seal controls, custody records, and human quality management."]},{"source_id":"S4","title":"A Landscape Study of Laboratory Information Management Systems (LIMS) for Forensic Crime Laboratories","publisher":"National Institute of Justice Forensic Technology Center of Excellence at RTI International","url":"https://www.ojp.gov/pdffiles1/nij/grants/255145.pdf","source_class":"AUTHORITATIVE_SECONDARY","publication_date":"2020-08-01","accessed_at":"2026-08-03","claims_supported":["Public laboratories received nearly 3.8 million forensic-service requests in 2014, approximately 93,000 per laboratory on average.","About 90% of publicly funded crime laboratories used LIMS, but fewer than one third used case-status tracking or instrument interfaces.","The study elicited needs from laboratory directors, quality managers, evidence controllers, LIMS administrators, analysts, and IT personnel.","Historic implementations averaged about $435,000 plus $71,000 annual maintenance, with substantial laboratory-specific variation.","Implementation requires stakeholder planning, testing, training, integration, and workflow customization rather than turnkey installation."]},{"source_id":"S5","title":"RFID Technology in Forensic Evidence Management: An Assessment of Barriers, Benefits, and Costs","publisher":"National Institute of Standards and Technology","url":"https://www.nist.gov/publications/rfid-technology-forensic-evidence-management-assessment-barriers-benefits-and-costs","source_class":"GOVERNMENT_OR_REGULATOR","publication_date":"2014-10-30","accessed_at":"2026-08-03","claims_supported":["Forensic laboratories and law-enforcement agencies already use barcodes and RFID to track evidence, people, location, condition, and transfers.","A federal technical working group expressly sought better information about technologies for improving evidence tracking and preservation.","Automated capture and real-time location updates are established adjacent practices, not evidence that residual-based review improves assurance."]},{"source_id":"S6","title":"Conformance Checking: Foundations, Milestones and Challenges","publisher":"Springer Nature","url":"https://link.springer.com/chapter/10.1007/978-3-031-08848-3_5","source_class":"PRIMARY_RESEARCH","publication_date":"2022-06-27","accessed_at":"2026-08-03","claims_supported":["Conformance checking compares event logs with normative process models and exposes consistent and deviating behavior.","Existing techniques represent ordering violations, replay failures, and alignments between observed events and expected task sequences.","This is a close technical analogue to structured transition residuals, although the source does not study physical-evidence custody or the proposal's safety controls."]},{"source_id":"S7","title":"State of Michigan Contract 071B4300089: Laboratory Information Management System","publisher":"State of Michigan Department of Technology, Management, and Budget","url":"https://www.michigan.gov/-/media/Project/Websites/dtmb/Procurement/Contracts/MiDEAL-Media/holding/Folder1/4300089.pdf?rev=9bbd6e4ad0fc4ab7a54b71446011eba1","source_class":"GOVERNMENT_OR_REGULATOR","publication_date":"2019-07-23","accessed_at":"2026-08-03","claims_supported":["A state forensic LIMS procurement required barcode storage, location and access validation, storage/retrieval audit trails, role-based security, alerts, testing, and user acceptance.","The base enterprise implementation was priced at $700,000, while a later annual maintenance/support extension was $77,647.50.","The procurement demonstrates both institutional authority to acquire such systems and the potentially substantial integration and recurring cost."]},{"source_id":"S8","title":"Laboratory Information Management Systems in Forensic Science Service Provider Laboratories: Current State and Next Generation","publisher":"National Institute of Justice Forensic Technology Center of Excellence at RTI International","url":"https://www.ojp.gov/pdffiles1/nij/grants/309358.pdf","source_class":"OFFICIAL_GUIDANCE","publication_date":"2024-07-01","accessed_at":"2026-08-03","claims_supported":["Modern forensic LIMS requirements include evidence transfers, complete custody reports, audit trails, legal-hold indicators, data validation, alerts, and correction functions.","The guide specifically describes warnings for evidence requested out of a required order and permits authorized overrides.","The guide expresses stakeholder desire for automation, configurable dashboards, process optimization, quality assurance, accessibility, and human-factors integration.","Custody should remain independent of the analytical workflow, supporting the proposal's separation of custody assurance from forensic conclusions."]}],"problem_evidence":{"support":"MODERATE","rationale":"The underlying problem is visible and consequential: custody integrity is fundamental, caseloads are high, audit and inventory practices vary, and corrective actions are common. However, none of the eight sources directly measures the proposal's narrower premise that equal-attention review of routine transitions delays recognition of discrepancies, so prevalence and latency remain unquantified.","source_ids":["S2","S3","S4"]},"stakeholder_evidence":{"support":"MODERATE","rationale":"Laboratory directors, quality managers, evidence controllers, LIMS administrators, NIJ, and NIST are identifiable adopters, authorizers, or funders. Their expressed needs include stronger evidence management, automation, validation, alerts, workflow visibility, and QA. No source records a commitment to purchase or pilot this specific residual-assurance layer.","source_ids":["S1","S3","S4","S8"]},"prior_art":{"proximity":"ADJACENT_PRIOR_ART","closest_analogues":[{"name":"Forensic LIMS custody validation and alerting","similarity":"Existing systems track custody transfers and locations, validate data and storage rules, warn about out-of-order requests, preserve audit trails, and generate complete custody reports.","remaining_difference":"The reviewed guidance does not specify a frozen, checksummed next-state predictor whose directional residual becomes the primary QA work item, coupled to verified silence, random audits of quiet ledgers, and automatic residual-mode suspension.","source_ids":["S4","S7","S8"]},{"name":"Process-mining conformance checking","similarity":"It formally aligns observed event logs with expected process models and exposes missing, extra, failed, or misordered behavior as explicit conformance artifacts.","remaining_difference":"The source is domain-general and does not provide physical-evidence authority boundaries, immutable-ledger reconstruction, protected full-context bypasses, or independently audited quiet cases.","source_ids":["S6"]},{"name":"Barcode and RFID forensic-evidence tracking","similarity":"It automates evidence identification, transfer capture, location visibility, condition monitoring, and inventory operations.","remaining_difference":"It improves observation and traceability but does not make model-relative custody innovations the review channel or test whether residual presentation reduces burden without creating material misses.","source_ids":["S5","S7"]},{"name":"Full-ledger audit, inventory, and QMS review","similarity":"Existing practice preserves custody documentation, performs complete or sampled inventories, audits policy compliance and data quality, and requires corrective action.","remaining_difference":"It does not dynamically prioritize transition-level discrepancies against a synchronized workflow model between full reconciliations.","source_ids":["S2","S3"]}],"distinctive_claim_remaining":"For a declared custody workflow, a frozen and checksummed state-transition model can turn directional conformance residuals into reviewer work items while retaining an immutable complete ledger, verified heartbeats, predeclared full-context bypasses, random audits of residual-quiet ledgers, and automatic fallback—and can improve the joint outcome of protected-discrepancy recall, acknowledgement latency, false escalation, reconstruction fidelity, and total assurance workload versus optimized deterministic rules and full-ledger review.","confidence":"MODERATE"},"implementation_evidence":{"support":"MODERATE","rationale":"Required primitives already exist: event logs, barcode/RFID capture, role and location validation, audit trails, alerts, workflow models, conformance checking, complete reports, and human override. A read-only prototype is technically credible. Missing evidence includes performance on custody data, reliable discrepancy labels, integration behavior under missing or reordered observations, human interpretation effects, subgroup or rare-event coverage, cybersecurity review, records/discovery treatment of residual metadata, and demonstrated protected-bypass reliability.","source_ids":["S4","S5","S6","S7","S8"]},"scores":{"meaningful_impact":{"score":4,"rationale":"A custody failure can compromise reliance on evidence, and the operational population is large. Realized impact is unmeasured.","source_ids":["S3","S4"]},"stakeholder_pull":{"score":4,"rationale":"Official and practitioner-led sources express demand for stronger tracking, validation, alerts, automation, QA, and workflow visibility, though not for this exact architecture.","source_ids":["S1","S4","S8"]},"incremental_advantage":{"score":3,"rationale":"Structured, state-relative residuals could focus review more effectively than isolated rule alerts, but no comparative evidence shows better recall-latency-workload performance.","source_ids":["S6","S8"]},"distinctiveness_plausibility":{"score":3,"rationale":"The safety-governed combination was not found as a direct forensic-custody implementation, but its main technical and workflow components are established and closely adjacent.","source_ids":["S5","S6","S7","S8"]},"technical_implementability":{"score":4,"rationale":"Current LIMS and conformance-checking methods supply most technical primitives; difficult portions are integration, synchronization, validation, and safe failure behavior rather than basic algorithm availability.","source_ids":["S6","S7","S8"]},"adoption_authority_feasibility":{"score":4,"rationale":"Laboratory directors and quality managers have policy and QMS authority for a retrospective study, and public agencies already procure LIMS. Live use would additionally require IT/security, records, discovery, accreditation, and procurement approvals.","source_ids":["S3","S4","S7"]},"evidence_readiness":{"score":3,"rationale":"A synthetic or approved closed-record crossover is bounded and measurable, but credible human-review outcomes require a partner laboratory, qualified reviewers, approved data, and independently labeled discrepancies.","source_ids":["S3","S4","S8"]},"safety_net_benefit":{"score":4,"rationale":"Complete-ledger access, frozen models, human adjudication, bypasses, raw audits, and manual fallback can sharply limit harm if validated; bypass reliability itself remains untested.","source_ids":["S3","S8"]},"scalability":{"score":3,"rationale":"Event-log processing is computationally scalable, but laboratory-specific workflows, integrations, training, validation, and governance create material scaling costs.","source_ids":["S4","S7","S8"]}},"score_confidence":"MODERATE","costs":{"first_evidence":{"band_2026_usd":"50K_TO_250K","scope":"Pre-registration, synthetic or approved closed-record corpus, frozen finite-state model, residual-interface prototype, independent discrepancy labeling, blinded three-arm reviewer crossover, analysis, and safety review.","confidence":"MODERATE","assumptions":["One laboratory workflow and evidence class.","Approximately 300-1,000 matched sequences and 6-12 qualified reviewers.","No production integration or live-case decision support.","Resource-equivalent labor, secure computing, and review time are included."],"source_ids":["S4","S7"]},"initial_deployment_startup":{"band_2026_usd":"250K_TO_1M","scope":"One-laboratory production-grade integration with an existing LIMS, identity and role systems, immutable audit storage, workflow configuration, cybersecurity and records review, validation, training, fallback testing, and user acceptance.","confidence":"MODERATE","assumptions":["The laboratory already has electronic custody records and scanning infrastructure.","This is an overlay, not replacement of the underlying LIMS.","Historical full-LIMS figures are used only as bounding analogues and translated qualitatively to 2026 resource equivalents.","Major legacy-data remediation could push cost above this band."],"source_ids":["S4","S7","S8"]},"operational_launch":{"band_2026_usd":"250K_TO_1M","scope":"Limited operational rollout across one evidence class, parallel full-ledger review, heightened audit sampling, on-call fallback, staff training, monitoring, independent evaluation, and governance documentation.","confidence":"LOW","assumptions":["Six to twelve months of parallel operation before any reduction in full review.","No automated quarantine or evidentiary conclusion.","Costs depend heavily on transaction volume, reviewer staffing, and existing interfaces."],"source_ids":["S3","S4","S7"]},"annual_recurring":{"band_2026_usd":"50K_TO_250K","scope":"Software and infrastructure support, workflow-version governance, model validation, audit sampling, full-state reconciliations, incident response, training, records retention, and periodic independent review.","confidence":"MODERATE","assumptions":["One laboratory or regional deployment.","At least part-time quality, IT, and data-engineering ownership.","The range is anchored by historical forensic-LIMS maintenance near $71,000 annually and a Michigan support extension of $77,647.50 before 2026 adjustment.","Frequent fallbacks or intensive manual audits could exceed the band."],"source_ids":["S4","S7"]}},"verified_pipeline_gates":{"externally_supported_problem":{"status":"YES","reason":"Official guidance, national survey data, and laboratory workload evidence establish that high-volume physical-evidence custody, variable audit practice, and integrity failures are consequential, although the attention-delay mechanism is not quantified.","source_ids":["S2","S3","S4"]},"externally_credible_adopter_or_authorizer":{"status":"YES","reason":"Forensic laboratory directors and quality managers are externally identified as responsible for QMS policy, audits, and LIMS decisions; NIJ-sponsored practitioner groups express relevant automation and workflow needs.","source_ids":["S3","S4","S8"]},"distinct_testable_incremental_claim":{"status":"YES","reason":"The remaining claim specifies an intervention, two strong comparators, joint outcome measures, protected-event stopping rules, and explicit falsifiers.","source_ids":["S6","S8"]},"bounded_next_evidence_step":{"status":"YES","reason":"A one-workflow offline crossover using synthetic or legally reusable closed records can be preregistered, frozen, blinded, stopped on a protected miss, and completed without production deployment.","source_ids":["S3","S4","S8"]},"no_unresolved_safety_or_authority_stop":{"status":"YES","reason":"The retrospective step is read-only, preserves source ledgers, gives the system no adjudicative or quarantine authority, and can be authorized within laboratory QMS governance. Live deployment remains outside the authorized step.","source_ids":["S3","S8"]},"credible_cost_scope_and_range":{"status":"YES","reason":"The scopes are explicit and bounded by NIJ implementation and maintenance observations plus an actual state forensic-LIMS contract; uncertainty is retained because an overlay has not been quoted.","source_ids":["S4","S7"]}},"next_evidence_step":"With one forensic-laboratory partner, preregister a read-only, offline, three-arm crossover on one declared workflow and evidence class. Freeze the state model, checksum, validity windows, priority weights, heartbeats, audit rate, and fallback table. Use synthetic ledgers or approved closed-matter records containing independently seeded routine events, missing scans, duplicates, delays, wrong actors or locations, reordered events, seal changes, recorder outages, version changes, and legitimate exceptions. Randomize blinded qualified reviewers to complete-ledger review, the strongest deterministic-rule configuration, and the residual interface. Primary measures are protected-discrepancy recall, time to acknowledgement, false escalation, unsupported tampering interpretation, complete-state reconstruction error, heartbeat discrimination, audit-discovered misses, fallback success, reviewer minutes, and maintenance effort. Falsify the intervention on any unexplained protected-class miss, irrecoverable ledger reconstruction, inability to distinguish channel failure from silence, higher unsupported-tampering inference, or failure to improve the preregistered joint recall-latency-workload criterion over both comparators. A favorable result authorizes only a further parallel retrospective evaluation, not live custody use.","blocking_evidence":["No direct measurement shows that routine-transition review currently delays custody-discrepancy detection or consumes material quality-assurance capacity.","No comparative trial shows that the residual interface outperforms optimized deterministic validation or complete-ledger review.","Protected-bypass recall, heartbeat failure discrimination, reconstruction fidelity, quiet-ledger audit yield, and fallback reliability are untested on realistic custody sequences.","No partner has confirmed access to legally reusable records, qualified blinded reviewers, workflow specifications, or authoritative discrepancy labels.","Legal discovery, records-retention, privacy, labor, cybersecurity, accreditation, and evidentiary treatment of residual metadata require jurisdiction-specific review before live operation."],"research_disposition":"PARTNERED_RESEARCH_PROGRAM","world_novelty_boundary":"The search found established forensic LIMS, barcode/RFID custody tracking, deterministic validation and alerts, complete audit trails, and general process-model conformance checking. It did not establish a direct implementation of the proposal's full safety-governed residual architecture. World novelty, patentability, freedom to operate, market size, and realized impact remain unmeasured.","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 partner and documented quality-manager authorization for the retrospective study.","Obtain approved synthetic or closed-record custody sequences plus independent ground-truth labeling.","Preregister the frozen model, comparators, joint success criterion, protected-event stopping rules, and subgroup or rare-event reporting.","Run the blinded crossover and quantify recall, latency, false escalation, reviewer burden, reconstruction, audit yield, fallback behavior, and maintenance effort.","Complete jurisdiction-specific records, discovery, privacy, cybersecurity, accessibility, procurement, accreditation, and labor review before considering any live parallel test."],"reason":"Bounded web research verifies the underlying custody problem, credible authorizers, adjacent prior art, implementation primitives, and cost scale, but cannot establish the proposal's incremental performance or human-factors safety. Those questions require proprietary or constructed custody data and live reviewer testing. Under the controller rule, the candidate therefore stops for empirical research; all STOP recommendations are non-repairable."},"proposal_index":2}