SOURCE → REQUIREMENT → CODE → PROOF

RESEARCH-TO-SOFTWARE TRACEABILITY.

Every supplied report is mapped to its canonical file, section-level deep route, repository-local .uai record, platform areas, technology labs, code modules, 3D/WebXR simulations, API endpoints, and verification.

12 supplied reports traced into Evulgare v1.2.0
Report	Canonical source and memory	Implemented software	3D/VR simulations	Verification
EVR-0001A Reference Architecture for Autonomous Kill Web Simulation: Assuring Command, Control, and Bounded Execution in Synthetic EnvironmentsEight-layer public-safe system-of-systems architecture, separate data and authority flows, bounded execution, audit, recovery, and null-sink outputs.	`docs/reports/autonomous-c2-simulation-architecture.md.uai/reports/autonomous-c2-simulation-architecture.uai74d6f20e4f9014801e456a597bed5aaa61817b8b989e4bb8d8452f3e945e1108`Open deep-linked source sectionLegacy route: /research/autonomous-c2-simulation-architecture → 301	Platform: resilience, authority, provenance Labs: resilience, authority, provenance `app/simulation_registry.py` `app/simulation_engine.py` `app/blueprints/simulations/routes.py` `app/static/js/vr-simulations.js` `app/simulation_engine.py::_drone_control` `app/content/simulations/scenarios.json::autonomous-drone-control` `GET /api/v1/simulations` `POST /api/v1/simulations/<slug>/run` `POST /api/v1/drone-control/run`	Provenance Replay Authority Boundary Federated Trust Resilience Web Autonomous Drone Control	`tests/test_simulations.py` `tests/test_uai_memory.py` `scripts/check_simulation_engine.py` `scripts/validate_uai_memory.py` IMPLEMENTED AND VERIFIED BY RELEASE PROOF Implemented behavior is synthetic and bounded; it is evidence that this package executes its declared software invariants, not certification of a real system.
EVR-0002Systemic Governance of Delegated Authority in Autonomous Networks: A Reference Architecture for KillWebs.comCapability-versus-authority contracts, conjunctive authorization, attenuation, expiry, revocation, degraded states, and return-of-control requirements.	`docs/reports/autonomous-delegation-architecture-research.md.uai/reports/autonomous-delegation-architecture-research.uaic3c986230114a71d281b93b14f915041256ce364f3268ffbc0f8abd772187cfe`Open deep-linked source sectionLegacy route: /research/autonomous-delegation-architecture-research → 301	Platform: authority, trust, resilience Labs: authority, resilience `app/services.py::evaluate_authority` `app/simulation_engine.py::_authority` `app/content/simulations/scenarios.json::authority-boundary` `app/simulation_engine.py::_drone_control` `app/content/simulations/scenarios.json::autonomous-drone-control` `POST /api/v1/authority/scenarios/<id>/evaluate` `POST /api/v1/simulations/authority-boundary/run` `POST /api/v1/drone-control/run`	Authority Boundary Governance Lifecycle Autonomous Drone Control	`tests/test_simulations.py` `tests/test_uai_memory.py` `scripts/check_simulation_engine.py` `scripts/validate_uai_memory.py` IMPLEMENTED AND VERIFIED BY RELEASE PROOF Implemented behavior is synthetic and bounded; it is evidence that this package executes its declared software invariants, not certification of a real system.
EVR-0003Architectural Verification and Assurance Framework for Fictional Autonomous Kill-Web Systems: A Public-Safe Laboratory MetamodelDynamic assurance DAGs, conservative claim states, defeaters, invalidation propagation, verification evidence, independence, and reality-gap limits.	`docs/reports/autonomous-system-assurance-platform.md.uai/reports/autonomous-system-assurance-platform.uaie7efd946d26d8cdfba62dba4251d4b7022cf7b42d78b377cddbca835d0a60247`Open deep-linked source sectionLegacy route: /research/autonomous-system-assurance-platform → 301	Platform: assurance, change-impact Labs: assurance, change-impact `app/services.py::simulate_change_impact` `app/simulation_engine.py::_assurance` `app/content/simulations/scenarios.json::assurance-change-impact` `app/simulation_engine.py::_drone_control` `app/content/simulations/scenarios.json::autonomous-drone-control` `POST /api/v1/change-impact/simulate` `GET /api/v1/simulations/proof` `POST /api/v1/drone-control/run`	Assurance Change Impact Uncertainty Field Governance Lifecycle Autonomous Drone Control	`tests/test_simulations.py` `tests/test_uai_memory.py` `scripts/check_simulation_engine.py` `scripts/validate_uai_memory.py` IMPLEMENTED AND VERIFIED BY RELEASE PROOF Implemented behavior is synthetic and bounded; it is evidence that this package executes its declared software invariants, not certification of a real system.
EVR-0004Fictional Autonomous Kill Web Defense Architecture: Resilience Against Non-Kinetic DisruptionIntegrity-first resilience, zero-trust identity, fault injection, quarantine, stale-state control, signed updates, and deliberate reconciliation.	`docs/reports/autonomous-system-defensive-architecture.md.uai/reports/autonomous-system-defensive-architecture.uai1d37d92aca8c23d2217e2219902152a61063c4252c1263d2327bc9e6a7596209`Open deep-linked source sectionLegacy route: /research/autonomous-system-defensive-architecture → 301	Platform: resilience, trust Labs: resilience, federated-trust `app/services.py::simulate_resilience` `app/simulation_engine.py::_resilience` `app/content/simulations/scenarios.json::resilience-web` `app/simulation_engine.py::_drone_control` `app/content/simulations/scenarios.json::autonomous-drone-control` `POST /api/v1/resilience/simulate` `POST /api/v1/simulations/resilience-web/run` `POST /api/v1/drone-control/run`	Federated Trust Resilience Web Autonomous Drone Control	`tests/test_simulations.py` `tests/test_uai_memory.py` `scripts/check_simulation_engine.py` `scripts/validate_uai_memory.py` IMPLEMENTED AND VERIFIED BY RELEASE PROOF Implemented behavior is synthetic and bounded; it is evidence that this package executes its declared software invariants, not certification of a real system.
EVR-0005Epistemic Representation and Uncertainty Quantification in Autonomous Software SystemsAleatoric and epistemic uncertainty, open-set recognition, calibration, source dependence, contradiction, abstention, and uncertainty-first interfaces.	`docs/reports/autonomous-systems-uncertainty-architecture.md.uai/reports/autonomous-systems-uncertainty-architecture.uai42ed3ca71d256f7e42af8d5d949202046722189ea46e960636683a5bdb4f96af`Open deep-linked source sectionLegacy route: /research/autonomous-systems-uncertainty-architecture → 301	Platform: uncertainty, judgment Labs: uncertainty, human-judgment `app/services.py::simulate_uncertainty` `app/simulation_engine.py::_uncertainty` `app/content/simulations/scenarios.json::uncertainty-field` `app/simulation_engine.py::_drone_control` `app/content/simulations/scenarios.json::autonomous-drone-control` `POST /api/v1/uncertainty/simulate` `POST /api/v1/simulations/uncertainty-field/run` `POST /api/v1/drone-control/run`	Assurance Change Impact Uncertainty Field Autonomous Drone Control	`tests/test_simulations.py` `tests/test_uai_memory.py` `scripts/check_simulation_engine.py` `scripts/validate_uai_memory.py` IMPLEMENTED AND VERIFIED BY RELEASE PROOF Implemented behavior is synthetic and bounded; it is evidence that this package executes its declared software invariants, not certification of a real system.
EVR-0006KillWebs.com: End-to-End Implementation Research ReportEnd-to-end public platform architecture, report atlas, interactive laboratories, offline/public-safety boundaries, and implementation requirements.	`docs/reports/autonomous-weapons-simulation-platform.md.uai/reports/autonomous-weapons-simulation-platform.uai96202b9e537fb131a37f739d807b9a41b99b2ce9b6adfdc33ffa8654cde66766`Open deep-linked source sectionLegacy route: /research/autonomous-weapons-simulation-platform → 301	Platform: accountability, assurance, provenance, judgment Labs: accountability, assurance, provenance, human-judgment `app/blueprints/docs/routes.py` `app/blueprints/simulations/routes.py` `app/templates/docs/index.html` `app/templates/simulations/index.html` `GET /api/v1/labs` `GET /api/v1/simulations` `GET /api/v1/research`	Accountability Evidence Room Provenance Replay Modular Acquisition	`tests/test_simulations.py` `tests/test_uai_memory.py` `scripts/check_simulation_engine.py` `scripts/validate_uai_memory.py` IMPLEMENTED AND VERIFIED BY RELEASE PROOF Implemented behavior is synthetic and bounded; it is evidence that this package executes its declared software invariants, not certification of a real system.
EVR-0007Architecting Accountability: A Comprehensive Framework for Decision Provenance, Deterministic Replay, and Forensic Auditing in Machine-Mediated SystemsAppend-only decision provenance, deterministic replay, invalidation without deletion, causal graphs, review, remedy, and chain-of-custody distinctions.	`docs/reports/decision-provenance-system-architecture.md.uai/reports/decision-provenance-system-architecture.uaid8c24ff66fffc3deec88503899048971ef355a8967f6502ec5d85bbc783df86f`Open deep-linked source sectionLegacy route: /research/decision-provenance-system-architecture → 301	Platform: provenance, accountability, change-impact Labs: provenance, accountability, change-impact `app/services.py::provenance_trace` `app/services.py::fork_provenance` `app/simulation_engine.py::_provenance` `app/simulation_engine.py::_drone_control` `app/content/simulations/scenarios.json::autonomous-drone-control` `GET /api/v1/provenance/traces/<id>` `POST /api/v1/provenance/traces/<id>/fork` `POST /api/v1/drone-control/run`	Accountability Evidence Room Provenance Replay Assurance Change Impact Autonomous Drone Control	`tests/test_simulations.py` `tests/test_uai_memory.py` `scripts/check_simulation_engine.py` `scripts/validate_uai_memory.py` IMPLEMENTED AND VERIFIED BY RELEASE PROOF Implemented behavior is synthetic and bounded; it is evidence that this package executes its declared software invariants, not certification of a real system.
EVR-0008Architecting the Kill Web: A Modular Open Systems and Software Acquisition BlueprintMOSA acquisition, interface and data rights, conformance testing, continuous authorization, vendor-swap evidence, and rollback planning.	`docs/reports/dod-kill-web-acquisition-research.md.uai/reports/dod-kill-web-acquisition-research.uai70dde29da1bdb6aa41902a63c30aaa0558a5d27ebb6828409d8fd5a132758ce7`Open deep-linked source sectionLegacy route: /research/dod-kill-web-acquisition-research → 301	Platform: change-impact, resilience Labs: chain-vs-web, change-impact `app/simulation_engine.py::_acquisition` `app/content/simulations/scenarios.json::modular-acquisition` `POST /api/v1/simulations/modular-acquisition/run`	Modular Acquisition	`tests/test_simulations.py` `tests/test_uai_memory.py` `scripts/check_simulation_engine.py` `scripts/validate_uai_memory.py` IMPLEMENTED AND VERIFIED BY RELEASE PROOF Implemented behavior is synthetic and bounded; it is evidence that this package executes its declared software invariants, not certification of a real system.
EVR-0009Architecture of Synthetic Distributed Autonomous Kill Webs: A Multi-Domain Trust, Governance, and Assurance FrameworkFederated data products, purpose constraints, semantic compatibility, multidimensional trust, revocation, and derived-product invalidation.	`docs/reports/federated-data-architecture-research.md.uai/reports/federated-data-architecture-research.uai8597f764920199ebaa224bcf248ca78060e638f4bbb715feef87793f2d826a24`Open deep-linked source sectionLegacy route: /research/federated-data-architecture-research → 301	Platform: trust, resilience, provenance Labs: federated-trust, resilience `app/services.py::evaluate_federated_trust` `app/simulation_engine.py::_federation` `app/content/simulations/scenarios.json::federated-trust` `POST /api/v1/labs/federated-trust/simulate` `POST /api/v1/simulations/federated-trust/run`	Federated Trust Resilience Web	`tests/test_simulations.py` `tests/test_uai_memory.py` `scripts/check_simulation_engine.py` `scripts/validate_uai_memory.py` IMPLEMENTED AND VERIFIED BY RELEASE PROOF Implemented behavior is synthetic and bounded; it is evidence that this package executes its declared software invariants, not certification of a real system.
EVR-0010Architectural Principles for Meaningful Human Judgment in Autonomous Decision Systems: The KillWebs.com Synthetic FrameworkAnti-anchoring workflow, contrary evidence, alternatives, sufficient time, abstention, review quality, workload, and accessible meaningful-judgment interfaces.	`docs/reports/human-judgment-interface-design.md.uai/reports/human-judgment-interface-design.uaiedbdf1678969e682c91d26122173356c5343173ae37d12651cfbbd2f5643fff8`Open deep-linked source sectionLegacy route: /research/human-judgment-interface-design → 301	Platform: judgment, accountability Labs: human-judgment, accountability `app/services.py::evaluate_accountability` `app/simulation_engine.py::_accountability` `app/content/simulations/scenarios.json::accountability-evidence-room` `app/simulation_engine.py::_drone_control` `app/content/simulations/scenarios.json::autonomous-drone-control` `POST /api/v1/labs/accountability/simulate` `POST /api/v1/simulations/accountability-evidence-room/run` `POST /api/v1/drone-control/run`	Accountability Evidence Room Uncertainty Field Governance Lifecycle Autonomous Drone Control	`tests/test_simulations.py` `tests/test_uai_memory.py` `scripts/check_simulation_engine.py` `scripts/validate_uai_memory.py` IMPLEMENTED AND VERIFIED BY RELEASE PROOF Implemented behavior is synthetic and bounded; it is evidence that this package executes its declared software invariants, not certification of a real system.
EVR-0011Technical and Regulatory Architecture for the KillWebs.com Law, Authority, and Strategic Stability Lab: Cicero Facility ImplementationLifecycle governance, authority gates, contested legal questions, qualified-human decisions, strategic-stability risks, and visible limitations.	`docs/reports/laws-governance-platform-research.md.uai/reports/laws-governance-platform-research.uai2ff855aa31982656147830521c8d252c325362bb75c9a20189598978370854a7`Open deep-linked source sectionLegacy route: /research/laws-governance-platform-research → 301	Platform: authority, judgment, assurance Labs: authority, human-judgment `app/simulation_engine.py::_governance` `app/content/simulations/scenarios.json::governance-lifecycle` `POST /api/v1/simulations/governance-lifecycle/run`	Authority Boundary Governance Lifecycle	`tests/test_simulations.py` `tests/test_uai_memory.py` `scripts/check_simulation_engine.py` `scripts/validate_uai_memory.py` IMPLEMENTED AND VERIFIED BY RELEASE PROOF Implemented behavior is synthetic and bounded; it is evidence that this package executes its declared software invariants, not certification of a real system.
EVR-0012Synthetic Kill Web Simulator Requirements and Architecture SpecificationDeterministic graph engine, separate path classes, seeded state transitions, append-only ledger, renderer isolation, 3D/WebXR views, and accessible equivalents.	`docs/reports/synthetic-kill-web-simulator-architecture.md.uai/reports/synthetic-kill-web-simulator-architecture.uai7f5037885ee0cc74a1a5b712f3768e5a6be41a8d73a11fa83316e4685e502fca`Open deep-linked source sectionLegacy route: /research/synthetic-kill-web-simulator-architecture → 301	Platform: resilience, trust, authority Labs: resilience, chain-vs-web, authority `app/simulation_registry.py` `app/simulation_engine.py` `app/static/js/vr-simulations.js` `app/templates/simulations/detail.html` `app/simulation_engine.py::_drone_control` `app/content/simulations/scenarios.json::autonomous-drone-control` `GET /api/v1/simulations/<slug>/baseline` `POST /api/v1/simulations/<slug>/run` `GET /api/v1/simulations/proof` `POST /api/v1/drone-control/run`	Resilience Web Modular Acquisition Autonomous Drone Control	`tests/test_simulations.py` `tests/test_uai_memory.py` `scripts/check_simulation_engine.py` `scripts/validate_uai_memory.py` IMPLEMENTED AND VERIFIED BY RELEASE PROOF Implemented behavior is synthetic and bounded; it is evidence that this package executes its declared software invariants, not certification of a real system.