Autonomous Drone Control Assurance Lab

Simulation: 10 / 10
Engine: 1.6.0
Run schema: 2.0.0

Simulation

Mode

RUNBOOTSTRAP READYEVRUN-4059D1D5D375768D

PROGRESSIVE REPLAY DELIVERY Initial analytical frame ready. Loading the complete 131-frame deterministic replay… The page remains readable while the same-origin API re-derives the exact run identified by EVRUN-4059D1D5D375768D. The preferred replay transfer uses deterministic gzip with a bounded identity-response fallback. Attempt pending

Automatic attempts are bounded. Save-Data is respected. A failed, interrupted, oversized, or identity-mismatched response leaves the first frame, all 131 events, proof, table, and narrative available.

SCENARIO

Bounded inputs

SYNTHETIC

ACTIVE SCENARIO Nominal bounded inspection Bounded inputs are ready for deterministic execution.

Browse 26 bounded scenarios

Declared parameters

Deterministic scenarioUSER INPUT

Scenario seedUSER INPUT

Synthetic mission profileUSER INPUT

Bounded supervisory commandUSER INPUT

Predeclared lost-link fallbackUSER INPUT

Bounded autonomy enabled USER INPUT

Authority artifact current USER INPUT

Human supervision available USER INPUT

Synthetic safety volume valid USER INPUT

Navigation integrity established USER INPUT

Supervisory communications initially available USER INPUT

Separation assurance available USER INPUT

Software and configuration attested USER INPUT

Synthetic sensor degraded USER INPUT

Battery margin (percent)72USER INPUT · RANGE 0–100

Environmental uncertainty index24USER INPUT · RANGE 0–100

Initial mission progress (percent)0USER INPUT · RANGE 0–100

Object spawn time (synthetic seconds)4.6USER INPUT · RANGE 1–9

Normalized spawn regionUSER INPUT

Synthetic object speed bandUSER INPUT

Synthetic direction patternUSER INPUT

Object visibility stateUSER INPUT

Sensor latency (synthetic ms)100USER INPUT · RANGE 0–1000

Tracking latency (synthetic ms)100USER INPUT · RANGE 0–1000

Planning latency (synthetic ms)150USER INPUT · RANGE 0–1000

Command latency (synthetic ms)50USER INPUT · RANGE 0–500

Modeled response time (synthetic ms)550USER INPUT · RANGE 100–1500

Sensor noise index18USER INPUT · RANGE 0–100

Prediction uncertainty index24USER INPUT · RANGE 0–100

In-run link-loss time (-1 disables)-1USER INPUT · RANGE -1–13

Inputs are bounded to the declared synthetic schema.

Device capability preflight

JavaScriptCHECKING

Persistence: no public run is stored. Sharing encodes bounded inputs in a same-origin link. Local learning progress is stored only after an explicit action.

INTERACTIVE SIMULATION

Authoritative state, spatially represented

Event0 / 130

StateSAFE AVOIDANCE — ROUTE REACQUIRED

Selected entityNone

Proof15 pass · 0 fail

Canonical digest236e18c4ef4bfd…

MODEINITIALIZING

PRIMARY HAZARDNONE

TIME TO CONFLICT—

REACTION MARGIN—

PLANDECLARED

WORLD TRUTHsolid geometry AUTONOMY BELIEFwireframe + uncertainty AUTONOMY INTENTdirectional trajectory

Initializing capability-aware renderer…Renderer pendingb90f8bf1ea74…Capability check pending

RendererWebGL check

Frame time—

APIserver baseline

Replay transferpending

Qualityauto

Motionenabled

Workerchecking

EventProof changeFailureRecovery

0.000Mission StartedMISSION_STARTED

PROOF INSPECTOR

Current proof state

15Passed

0Unknown / pending

0Failed

CURRENT FOCUS

Mission Started

15 passed; 0 failed; 0 unknown or pending.

Show

TRUTH_NOT_IN_BELIEF_BEFORE_OBSERVABLEWorld-truth objects are not present in autonomy belief before observability and detectionNOT EVALUATED

Evidence: Belief activation follows each object's observable and latency boundary.
Scope: AUTHORITATIVE DOMAIN ENGINE

TRACKS_REFERENCE_OBSERVATIONSEvery active track references one or more synthetic observationsNOT EVALUATED

Evidence: All active tracks contain observation_refs.
Scope: AUTHORITATIVE DOMAIN ENGINE

SELECTED_TRAJECTORY_FEASIBLEThe selected planner trajectory is dynamically feasible under declared normalized constraintsNOT EVALUATED

Evidence: TRAJ-VERTICAL
Scope: AUTHORITATIVE DOMAIN ENGINE

APPLIED_ACTION_RESPECTS_SAFETY_VOLUMEThe applied synthetic action is compliant or a minimum-risk hold/returnNOT EVALUATED

Evidence: TRAJ-VERTICAL
Scope: AUTHORITATIVE DOMAIN ENGINE

INFEASIBLE_CANDIDATE_NOT_SELECTEDAn infeasible candidate cannot become the selected planner candidateNOT EVALUATED

Evidence: TRAJ-VERTICAL
Scope: AUTHORITATIVE DOMAIN ENGINE

CRITICAL_GATES_BLOCK_INSPECTIONExisting critical gates cannot fail while the result remains an inspection stateNOT EVALUATED

Evidence: COMPLETE
Scope: AUTHORITATIVE DOMAIN ENGINE

MINIMUM_RISK_WHEN_NO_FEASIBLEMinimum-risk hold occurs when no compliant trajectory existsNOT EVALUATED

Evidence: feasible=3; applied=TRAJ-VERTICAL
Scope: AUTHORITATIVE DOMAIN ENGINE

HUMAN_OVERRIDE_PRECEDENCEHuman hold, return, land, or abort dominates bounded autonomy where specifiedNOT EVALUATED

Evidence: command=start-inspection; applied=TRAJ-VERTICAL
Scope: AUTHORITATIVE DOMAIN ENGINE

SAFETY_FILTER_SEPARATE_FROM_PLANNERPlanner intent and independent safety-filter output are recorded separatelyNOT EVALUATED

Evidence: requested=TRAJ-VERTICAL; applied=TRAJ-VERTICAL
Scope: AUTHORITATIVE DOMAIN ENGINE

APPLIED_ACTION_REFERENCES_ORIGINEvery applied synthetic action references its originating frame and selected candidateNOT EVALUATED

Evidence: Applied action records include origin_frame_id, selected_candidate_id, and null-sink terminal.
Scope: AUTHORITATIVE DOMAIN ENGINE

APPEND_ORIENTED_AVOIDANCE_HISTORYEvery avoidance state transition is append-oriented and hash chainedNOT EVALUATED

Evidence: be92f8a4853e953191a5d0702c660c0964e5a67e9435772c7deff78fe6568918
Scope: AUTHORITATIVE DOMAIN ENGINE

NORMALIZED_COORDINATES_ONLYOnly bounded normalized scene coordinates are emittedNOT EVALUATED

Evidence: SYNTHETIC_NORMALIZED_SCENE_UNITS
Scope: AUTHORITATIVE DOMAIN ENGINE

NO_REAL_HARDWARE_PROTOCOL_OUTPUTNo real hardware, protocol, payload, targeting, weapon, or force output existsNOT EVALUATED

Evidence: hardware_interfaces=[]; flight_protocols=[]; external_command_channel=false
Scope: AUTHORITATIVE DOMAIN ENGINE

SYNTHETIC_NULL_SINK_TERMINATIONEvery derived result terminates at the synthetic null sinkNOT EVALUATED

Evidence: SYNTHETIC_NULL_SINK
Scope: AUTHORITATIVE DOMAIN ENGINE

PLATFORM-REPRESENTATION-PARITYVisual, table, narrative, event, metric, and raw-evidence views reference one event-index statePASS

Evidence: The v2 workbench envelope assigns every frame an eventIndex and frame digest consumed by all representations.
Scope: WORKBENCH ADAPTER

Why did this happen?

Entity inspector

Select a node in the scene or table to inspect its current state and direct relationships.

No entity selected.

Event: 0
State: SAFE AVOIDANCE — ROUTE REACQUIRED
Entity: None
Proof: 15 pass · 0 fail

CURRENT EVENT

Mission Started

Bounded autonomous inspection began.

SELECTED ENTITY

Select an entity to coordinate the scene, table, proof, event, and causal views.

Entities at the selected event
Type	State	Detail	Normalized position
drone	supported	NOMINAL · TRANSIT	-3.4, 0, -3.2
inspection-zone	supported	Declared fictional inspection objective	3.35, 0.35, 3.25
geofence	supported	Synthetic -4 to +4 scene-unit boundary	0, 0.2, 0
planner	supported	FEASIBLE · 0 candidates	-2.8, 1.7, 2.8
assurance	baseline	PENDING	0, 2, 2.8
human	supported	start-inspection · AVAILABLE	2.8, 1.7, 2.8
provenance	supported	Source frame FRAME-0000 · canonical history preserved	-1.4, -1.8, 2.5
null-sink	safe	No derived control state leaves the simulation	1.4, -1.8, 2.5
tracked-object	hidden	World-truth object not yet represented in autonomy belief	-2.6651, 0.05, -0.05

{
  "domainState": {
    "active_tracks": [],
    "applied_command_age_ms": 0,
    "applied_synthetic_action": {
      "action": "NONE",
      "action_id": null,
      "applied_candidate_id": null,
      "origin_frame_id": null,
      "selected_candidate_id": null,
      "terminal": null
    },
    "authority_state": "CURRENT",
    "autonomy_belief": {
      "evidence_complete": true,
      "observations": [],
      "primary_track_id": null,
      "track_ids": []
    },
    "autonomy_intent": {
      "active_trajectory_id": "ROUTE-NOMINAL",
      "active_trajectory_points": [
        [
          -3.4,
          0,
          -3.2
        ],
        [
          -1.35,
          0.05,
          -1.35
        ],
        [
          0.05,
          0.1,
          0.1
        ],
        [
          1.55,
          0.18,
          1.65
        ],
        [
          3.35,
          0.35,
          3.25
        ]
      ],
      "nominal_route_id": "ROUTE-NOMINAL",
      "nominal_route_points": [
        [
          -3.4,
          0,
          -3.2
        ],
        [
          -1.35,
          0.05,
          -1.35
        ],
        [
          0.05,
          0.1,
          0.1
        ],
        [
          1.55,
          0.18,
          1.65
        ],
        [
          3.35,
          0.35,
          3.25
        ]
      ]
    },
    "autonomy_mode": "NOMINAL",
    "candidate_count": 0,
    "candidate_geometry": [
      {
        "arrival_delay_seconds": 1.47,
        "closest_approach_point": [
          -1.7095,
          0.0981,
          0.0318
        ],
        "constraint_violations": [
          "REQUIRED_CLEARANCE_NOT_MAINTAINED"
        ],
        "control_effort_band": "MEDIUM",
        "feasible": false,
        "goal_reachable": true,
        "id": "TRAJ-LEFT",
        "label": "LEFT DEVIATION",
        "path_length_penalty": 2.677,
        "predicted_collision_risk_band": "UNACCEPTABLE",
        "predicted_minimum_clearance": -0.916,
        "safety_status": "INFEASIBLE",
        "sequence": 1,
        "status": "UNRANKED",
        "trajectory_points": [
          [
            -0.373,
            0.0849,
            -0.3381
          ],
          [
            -1.85,
            0.16,
            0.2
          ],
          [
            -1.45,
            0.22,
            1.15
          ],
          [
            0.55,
            0.24,
            1.8
          ],
          [
            3.35,
            0.35,
            3.25
          ]
        ]
      },
      {
        "arrival_delay_seconds": 1.23,
        "closest_approach_point": [
          -1.2477,
          0.0654,
          -0.202
        ],
        "constraint_violations": [],
        "control_effort_band": "MEDIUM",
        "feasible": true,
        "goal_reachable": true,
        "id": "TRAJ-RIGHT",
        "label": "RIGHT DEVIATION",
        "path_length_penalty": 2.245,
        "predicted_collision_risk_band": "HIGH",
        "predicted_minimum_clearance": 0.628,
        "safety_status": "COMPLIANT",
        "sequence": 2,
        "status": "UNRANKED",
        "trajectory_points": [
          [
            -0.373,
            0.0849,
            -0.3381
          ],
          [
            1.82,
            0.16,
            0.2
          ],
          [
            1.55,
            0.22,
            1.15
          ],
          [
            0.65,
            0.24,
            1.85
          ],
          [
            3.35,
            0.35,
            3.25
          ]
        ]
      },
      {
        "arrival_delay_seconds": 1.05,
        "closest_approach_point": [
          -1.2477,
          0.0654,
          -0.202
        ],
        "constraint_violations": [],
        "control_effort_band": "MEDIUM",
        "feasible": true,
        "goal_reachable": true,
        "id": "TRAJ-VERTICAL",
        "label": "VERTICAL DEVIATION",
        "path_length_penalty": 1.904,
        "predicted_collision_risk_band": "HIGH",
        "predicted_minimum_clearance": 0.628,
        "safety_status": "COMPLIANT",
        "sequence": 3,
        "status": "UNRANKED",
        "trajectory_points": [
          [
            -0.373,
            0.0849,
            -0.3381
          ],
          [
            -0.35,
            1.55,
            0.2
          ],
          [
            0.25,
            1.55,
            1.15
          ],
          [
            0.65,
            0.45,
            1.85
          ],
          [
            3.35,
            0.35,
            3.25
          ]
        ]
      },
      {
        "arrival_delay_seconds": 1.46,
        "closest_approach_point": [
          -1.2477,
          0.0654,
          -0.202
        ],
        "constraint_violations": [],
        "control_effort_band": "LOW",
        "feasible": true,
        "goal_reachable": true,
        "id": "TRAJ-SLOW",
        "label": "SPEED REDUCTION",
        "path_length_penalty": 0.024,
        "predicted_collision_risk_band": "HIGH",
        "predicted_minimum_clearance": 0.628,
        "safety_status": "COMPLIANT",
        "sequence": 4,
        "status": "UNRANKED",
        "trajectory_points": [
          [
            -0.373,
            0.0849,
            -0.3381
          ],
          [
            -0.3,
            0.08,
            -0.2
          ],
          [
            0.2,
            0.1,
            0.45
          ],
          [
            1.2,
            0.16,
            1.55
          ],
          [
            3.35,
            0.35,
            3.25
          ]
        ]
      },
      {
        "arrival_delay_seconds": 4,
        "closest_approach_point": [
          -0.3477,
          0.0654,
          -0.202
        ],
        "constraint_violations": [
          "REQUIRED_CLEARANCE_NOT_MAINTAINED"
        ],
        "control_effort_band": "LOW",
        "feasible": false,
        "goal_reachable": false,
        "id": "TRAJ-HOLD",
        "label": "HOLD / STOP",
        "path_length_penalty": 0,
        "predicted_collision_risk_band": "UNACCEPTABLE",
        "predicted_minimum_clearance": -0.96,
        "safety_status": "INFEASIBLE",
        "sequence": 5,
        "status": "RESERVE",
        "trajectory_points": [
          [
            -0.373,
            0.0849,
            -0.3381
          ],
          [
            -0.373,
            0.0849,
            -0.3381
          ],
          [
            -0.373,
            0.0849,
            -0.3381
          ]
        ]
      },
      {
        "arrival_delay_seconds": 8,
        "closest_approach_point": [
          -1.3528,
          0.06,
          -0.4614
        ],
        "constraint_violations": [
          "REQUIRED_CLEARANCE_NOT_MAINTAINED"
        ],
        "control_effort_band": "MEDIUM",
        "feasible": false,
        "goal_reachable": false,
        "id": "TRAJ-RETURN",
        "label": "SAFE RETURN",
        "path_length_penalty": 0,
        "predicted_collision_risk_band": "UNACCEPTABLE",
        "predicted_minimum_clearance": -0.023,
        "safety_status": "INFEASIBLE",
        "sequence": 6,
        "status": "RESERVE",
        "trajectory_points": [
          [
            -0.373,
            0.0849,
            -0.3381
          ],
          [
            -2.2,
            0.05,
            -2
          ],
          [
            -3.5,
            -0.2,
            -3.45
          ]
        ]
      }
    ],
    "candidate_trajectories": [],
    "canonical_history_digest": "dad037e36f9a3d052b2c180d91315e892fc36749afb67f26868c8dd815bc465f",
    "coordinate_system": "SYNTHETIC_NORMALIZED_SCENE_UNITS",
    "current_physical_separation": 9,
    "decision_deadline": null,
    "event_refs": [
      "EVT-001"
    ],
    "feasible_candidate_count": 0,
    "frame_id": "FRAME-0000",
    "frame_sha256": "dcb7c045112ebb1cc537eb8217b4559bdcf263dda50253c97a1825f6783c609a",
    "gate_states": {
      "authority_current": true,
      "battery_margin_ok": true,
      "geofence_valid": true,
      "human_supervision": true,
      "navigation_integrity": true,
      "separation_assurance": true,
      "software_attested": true,
      "uncertainty_within_bound": true
    },
    "goal_state": {
      "id": "GOAL-INSPECT-01",
      "position": [
        3.35,
        0.35,
        3.25
      ],
      "reachable": true,
      "reached": false
    },
    "human_supervisory_state": {
      "available": true,
      "bounded_actions": [
        "CONTINUE",
        "HOLD",
        "RETURN",
        "ABORT / MINIMUM-RISK ACTION",
        "RESUME AUTONOMY"
      ],
      "command": "start-inspection",
      "communications": "AVAILABLE"
    },
    "minimum_predicted_separation": null,
    "mission_state": "TRANSIT",
    "next_reassessment_ms": 50,
    "nominal_planner_request": {
      "candidate_id": null,
      "maneuver": "NONE"
    },
    "observations": [],
    "plan_status": "FEASIBLE",
    "planning_runtime_ms": 150,
    "predicted_goal_delay": 0,
    "prediction_horizon_seconds": 3,
    "primary_hazard": null,
    "proof_refs": [
      "TRUTH_NOT_IN_BELIEF_BEFORE_OBSERVABLE",
      "TRACKS_REFERENCE_OBSERVATIONS",
      "SELECTED_TRAJECTORY_FEASIBLE",
      "APPLIED_ACTION_RESPECTS_SAFETY_VOLUME",
      "INFEASIBLE_CANDIDATE_NOT_SELECTED",
      "CRITICAL_GATES_BLOCK_INSPECTION",
      "MINIMUM_RISK_WHEN_NO_FEASIBLE",
      "HUMAN_OVERRIDE_PRECEDENCE",
      "SAFETY_FILTER_SEPARATE_FROM_PLANNER",
      "APPLIED_ACTION_REFERENCES_ORIGIN",
      "APPEND_ORIENTED_AVOIDANCE_HISTORY",
      "NORMALIZED_COORDINATES_ONLY",
      "NO_REAL_HARDWARE_PROTOCOL_OUTPUT",
      "SYNTHETIC_NULL_SINK_TERMINATION"
    ],
    "reaction_margin": null,
    "rejected_candidate_count": 0,
    "route_deviation": 0,
    "safety_envelope_margin": null,
    "safety_filter_result": {
      "intervened": false,
      "status": "PENDING"
    },
    "scenario_id": "sudden-crossing-object",
    "scenario_seed": 140017,
    "selected_trajectory_id": null,
    "selection_reason_codes": [],
    "sensor_state": {
      "latency_ms": 100,
      "noise_index": 18,
      "perception_envelope_radius": 3.1,
      "state": "AVAILABLE",
      "truth_visible_to_operator": false
    },
    "sensor_to_track_latency_ms": 200,
    "simulation_time": 0,
    "source_timeline": [
      {
        "detail": "Bounded autonomous inspection began.",
        "entity_ids": [
          "DRONE-01",
          "GOAL-INSPECT-01"
        ],
        "event_code": "MISSION_STARTED",
        "event_id": "EVT-001",
        "evidence_ref": "CFG-BASELINE",
        "previous_sha256": "GENESIS",
        "sequence": 1,
        "sha256": "6c9eae771c34e8c9750741cf70719c44f9938b87b0ab2d68e0edebede0e0e5c9",
        "simulation_time": 0
      }
    ],
    "time_to_conflict": null,
    "total_synthetic_reaction_latency_ms": 950,
    "track_to_plan_latency_ms": 150,
    "vehicle_estimated_state": {
      "coordinate_system": "SYNTHETIC_NORMALIZED_SCENE_UNITS",
      "heading_degrees": 47.94,
      "id": "DRONE-01",
      "position": [
        -3.3928,
        0,
        -3.2072
      ],
      "safety_envelope_radius": 0.72,
      "speed_normalized_units_per_second": 0.701,
      "velocity": [
        0.5206,
        0.0127,
        0.4698
      ]
    },
    "vehicle_truth_state": {
      "coordinate_system": "SYNTHETIC_NORMALIZED_SCENE_UNITS",
      "heading_degrees": 47.94,
      "id": "DRONE-01",
      "position": [
        -3.4,
        0,
        -3.2
      ],
      "safety_envelope_radius": 0.72,
      "speed_normalized_units_per_second": 0.701,
      "velocity": [
        0.5206,
        0.0127,
        0.4698
      ]
    },
    "world_truth": {
      "geofence": {
        "max": [
          4,
          2.6,
          4
        ],
        "min": [
          -4,
          -2.2,
          -4
        ]
      },
      "no_go_regions": [],
      "objective": {
        "arrival_volume_radius": 0.55,
        "id": "GOAL-INSPECT-01",
        "position": [
          3.35,
          0.35,
          3.25
        ]
      },
      "objects": [
        {
          "exists": false,
          "id": "WORLD-OBJ-017",
          "motion_class": "dynamic",
          "observable": false,
          "position": [
            -2.6651,
            0.05,
            -0.05
          ],
          "radius": 0.34,
          "synthetic_object_type": "ABSTRACT MOVING OBJECT",
          "track_id": "OBJ-017",
          "velocity": [
            0.72,
            0,
            0
          ]
        }
      ],
      "ownship": {
        "coordinate_system": "SYNTHETIC_NORMALIZED_SCENE_UNITS",
        "heading_degrees": 47.94,
        "id": "DRONE-01",
        "position": [
          -3.4,
          0,
          -3.2
        ],
        "safety_envelope_radius": 0.72,
        "speed_normalized_units_per_second": 0.701,
        "velocity": [
          0.5206,
          0.0127,
          0.4698
        ]
      }
    }
  },
  "eventIndex": 0,
  "frameDigest": "2138a0177acb3fc7607bfabf2e79d18281871a511a514efa5c6087409c722abc",
  "metrics": {
    "appliedCommandAgeMs": 0,
    "authorityState": "CURRENT",
    "autonomyMode": "NOMINAL",
    "candidateCount": 0,
    "currentPhysicalSeparation": 9,
    "decisionDeadline": null,
    "entityCount": 9,
    "eventIndex": 0,
    "eventProgress": 0,
    "feasibleCandidateCount": 0,
    "minimumPredictedSeparation": null,
    "missionState": "TRANSIT",
    "overlayCount": 5,
    "planStatus": "FEASIBLE",
    "planningRuntimeMs": 150,
    "predictedGoalDelay": 0,
    "proofStateCounts": {
      "fail": 0,
      "notApplicable": 0,
      "notEvaluated": 14,
      "pass": 1,
      "unknown": 0
    },
    "reactionMargin": null,
    "rejectedCandidateCount": 0,
    "relationshipCount": 7,
    "routeDeviation": 0,
    "safetyEnvelopeMargin": null,
    "safetyFilterIntervened": false,
    "sensorToTrackLatencyMs": 200,
    "simulationTime": 0,
    "sourceFrameIndex": 0,
    "timeToConflict": null,
    "totalSyntheticReactionLatencyMs": 950,
    "trackToPlanLatencyMs": 150
  },
  "narrative": "Bounded autonomous inspection began.",
  "proofState": {
    "checks": [
      {
        "affectedEntityIds": [
          "goal"
        ],
        "affectedEventIndex": 131,
        "evidence": "Belief activation follows each object\u0027s observable and latency boundary.",
        "id": "TRUTH_NOT_IN_BELIEF_BEFORE_OBSERVABLE",
        "name": "World-truth objects are not present in autonomy belief before observability and detection",
        "researchReferences": [
          "/docs/reports/autonomous-c2-simulation-architecture",
          "/docs/reports/autonomous-delegation-architecture-research",
          "/docs/reports/autonomous-system-assurance-platform",
          "/docs/reports/autonomous-system-defensive-architecture",
          "/docs/reports/autonomous-systems-uncertainty-architecture",
          "/docs/reports/decision-provenance-system-architecture",
          "/docs/reports/human-judgment-interface-design",
          "/docs/reports/synthetic-kill-web-simulator-architecture",
          "/docs/reports/designing-an-ai-simulation-for-real-time-evasion-and-goal-directed-navigation",
          "/docs/reports/autonomous-simulation-mission-control",
          "/docs/reports/machine-sovereign-assurance-research",
          "/docs/reports/evulgare-simulation-workbench-research"
        ],
        "scope": "AUTHORITATIVE DOMAIN ENGINE",
        "status": "NOT EVALUATED"
      },
      {
        "affectedEntityIds": [
          "goal"
        ],
        "affectedEventIndex": 132,
        "evidence": "All active tracks contain observation_refs.",
        "id": "TRACKS_REFERENCE_OBSERVATIONS",
        "name": "Every active track references one or more synthetic observations",
        "researchReferences": [
          "/docs/reports/autonomous-c2-simulation-architecture",
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          "/docs/reports/autonomous-system-assurance-platform",
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          "/docs/reports/autonomous-simulation-mission-control",
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        ],
        "scope": "AUTHORITATIVE DOMAIN ENGINE",
        "status": "NOT EVALUATED"
      },
      {
        "affectedEntityIds": [
          "goal"
        ],
        "affectedEventIndex": 133,
        "evidence": "TRAJ-VERTICAL",
        "id": "SELECTED_TRAJECTORY_FEASIBLE",
        "name": "The selected planner trajectory is dynamically feasible under declared normalized constraints",
        "researchReferences": [
          "/docs/reports/autonomous-c2-simulation-architecture",
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          "/docs/reports/autonomous-simulation-mission-control",
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        ],
        "scope": "AUTHORITATIVE DOMAIN ENGINE",
        "status": "NOT EVALUATED"
      },
      {
        "affectedEntityIds": [
          "goal"
        ],
        "affectedEventIndex": 134,
        "evidence": "TRAJ-VERTICAL",
        "id": "APPLIED_ACTION_RESPECTS_SAFETY_VOLUME",
        "name": "The applied synthetic action is compliant or a minimum-risk hold/return",
        "researchReferences": [
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          "/docs/reports/autonomous-simulation-mission-control",
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        ],
        "scope": "AUTHORITATIVE DOMAIN ENGINE",
        "status": "NOT EVALUATED"
      },
      {
        "affectedEntityIds": [
          "goal"
        ],
        "affectedEventIndex": 135,
        "evidence": "TRAJ-VERTICAL",
        "id": "INFEASIBLE_CANDIDATE_NOT_SELECTED",
        "name": "An infeasible candidate cannot become the selected planner candidate",
        "researchReferences": [
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          "/docs/reports/autonomous-simulation-mission-control",
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        ],
        "scope": "AUTHORITATIVE DOMAIN ENGINE",
        "status": "NOT EVALUATED"
      },
      {
        "affectedEntityIds": [
          "goal"
        ],
        "affectedEventIndex": 136,
        "evidence": "COMPLETE",
        "id": "CRITICAL_GATES_BLOCK_INSPECTION",
        "name": "Existing critical gates cannot fail while the result remains an inspection state",
        "researchReferences": [
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        ],
        "scope": "AUTHORITATIVE DOMAIN ENGINE",
        "status": "NOT EVALUATED"
      },
      {
        "affectedEntityIds": [
          "goal"
        ],
        "affectedEventIndex": 137,
        "evidence": "feasible=3; applied=TRAJ-VERTICAL",
        "id": "MINIMUM_RISK_WHEN_NO_FEASIBLE",
        "name": "Minimum-risk hold occurs when no compliant trajectory exists",
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        ],
        "scope": "AUTHORITATIVE DOMAIN ENGINE",
        "status": "NOT EVALUATED"
      },
      {
        "affectedEntityIds": [
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        ],
        "affectedEventIndex": 138,
        "evidence": "command=start-inspection; applied=TRAJ-VERTICAL",
        "id": "HUMAN_OVERRIDE_PRECEDENCE",
        "name": "Human hold, return, land, or abort dominates bounded autonomy where specified",
        "researchReferences": [
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        "status": "NOT EVALUATED"
      },
      {
        "affectedEntityIds": [
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        "affectedEventIndex": 139,
        "evidence": "requested=TRAJ-VERTICAL; applied=TRAJ-VERTICAL",
        "id": "SAFETY_FILTER_SEPARATE_FROM_PLANNER",
        "name": "Planner intent and independent safety-filter output are recorded separately",
        "researchReferences": [
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        ],
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        "status": "NOT EVALUATED"
      },
      {
        "affectedEntityIds": [
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        ],
        "affectedEventIndex": 140,
        "evidence": "Applied action records include origin_frame_id, selected_candidate_id, and null-sink terminal.",
        "id": "APPLIED_ACTION_REFERENCES_ORIGIN",
        "name": "Every applied synthetic action references its originating frame and selected candidate",
        "researchReferences": [
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          "/docs/reports/designing-an-ai-simulation-for-real-time-evasion-and-goal-directed-navigation",
          "/docs/reports/autonomous-simulation-mission-control",
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          "/docs/reports/evulgare-simulation-workbench-research"
        ],
        "scope": "AUTHORITATIVE DOMAIN ENGINE",
        "status": "NOT EVALUATED"
      },
      {
        "affectedEntityIds": [
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        "affectedEventIndex": 141,
        "evidence": "be92f8a4853e953191a5d0702c660c0964e5a67e9435772c7deff78fe6568918",
        "id": "APPEND_ORIENTED_AVOIDANCE_HISTORY",
        "name": "Every avoidance state transition is append-oriented and hash chained",
        "researchReferences": [
          "/docs/reports/autonomous-c2-simulation-architecture",
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          "/docs/reports/autonomous-system-assurance-platform",
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          "/docs/reports/designing-an-ai-simulation-for-real-time-evasion-and-goal-directed-navigation",
          "/docs/reports/autonomous-simulation-mission-control",
          "/docs/reports/machine-sovereign-assurance-research",
          "/docs/reports/evulgare-simulation-workbench-research"
        ],
        "scope": "AUTHORITATIVE DOMAIN ENGINE",
        "status": "NOT EVALUATED"
      },
      {
        "affectedEntityIds": [
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        ],
        "affectedEventIndex": 142,
        "evidence": "SYNTHETIC_NORMALIZED_SCENE_UNITS",
        "id": "NORMALIZED_COORDINATES_ONLY",
        "name": "Only bounded normalized scene coordinates are emitted",
        "researchReferences": [
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          "/docs/reports/designing-an-ai-simulation-for-real-time-evasion-and-goal-directed-navigation",
          "/docs/reports/autonomous-simulation-mission-control",
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          "/docs/reports/evulgare-simulation-workbench-research"
        ],
        "scope": "AUTHORITATIVE DOMAIN ENGINE",
        "status": "NOT EVALUATED"
      },
      {
        "affectedEntityIds": [
          "goal"
        ],
        "affectedEventIndex": 143,
        "evidence": "hardware_interfaces=[]; flight_protocols=[]; external_command_channel=false",
        "id": "NO_REAL_HARDWARE_PROTOCOL_OUTPUT",
        "name": "No real hardware, protocol, payload, targeting, weapon, or force output exists",
        "researchReferences": [
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          "/docs/reports/autonomous-simulation-mission-control",
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        "status": "NOT EVALUATED"
      },
      {
        "affectedEntityIds": [
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        "affectedEventIndex": 144,
        "evidence": "SYNTHETIC_NULL_SINK",
        "id": "SYNTHETIC_NULL_SINK_TERMINATION",
        "name": "Every derived result terminates at the synthetic null sink",
        "researchReferences": [
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          "/docs/reports/autonomous-system-assurance-platform",
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          "/docs/reports/autonomous-systems-uncertainty-architecture",
          "/docs/reports/decision-provenance-system-architecture",
          "/docs/reports/human-judgment-interface-design",
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          "/docs/reports/designing-an-ai-simulation-for-real-time-evasion-and-goal-directed-navigation",
          "/docs/reports/autonomous-simulation-mission-control",
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          "/docs/reports/evulgare-simulation-workbench-research"
        ],
        "scope": "AUTHORITATIVE DOMAIN ENGINE",
        "status": "NOT EVALUATED"
      },
      {
        "affectedEntityIds": [],
        "affectedEventIndex": 0,
        "evidence": "The v2 workbench envelope assigns every frame an eventIndex and frame digest consumed by all representations.",
        "id": "PLATFORM-REPRESENTATION-PARITY",
        "name": "Visual, table, narrative, event, metric, and raw-evidence views reference one event-index state",
        "researchReferences": [
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        ],
        "scope": "WORKBENCH ADAPTER",
        "status": "PASS"
      }
    ],
    "summary": {
      "fail": 0,
      "notApplicable": 0,
      "notEvaluated": 14,
      "pass": 1,
      "unknown": 0
    }
  },
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    "camera": {
      "distance": 13.5,
      "pitch": 0.3,
      "yaw": 0.62
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        "semanticLayers": [
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        ],
        "state": "baseline",
        "to": "safety-filter"
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      {
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      {
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        "state": "baseline",
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      {
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        "kind": "records_state",
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        "state": "baseline",
        "to": "ledger"
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      {
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        ],
        "state": "baseline",
        "to": "sink"
      },
      {
        "from": "OBJ-017",
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        "semanticLayers": [
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        "state": "baseline",
        "to": "planner"
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    ],
    "nodes": [
      {
        "detail": "NOMINAL \u00b7 TRANSIT",
        "id": "ownship",
        "kind": "drone",
        "label": "Synthetic inspection drone",
        "position": [
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          0,
          -3.2
        ],
        "semanticLayers": [
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        ],
        "state": "supported"
      },
      {
        "detail": "Declared fictional inspection objective",
        "id": "goal",
        "kind": "inspection-zone",
        "label": "Declared inspection objective",
        "position": [
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          0.35,
          3.25
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        ],
        "state": "supported"
      },
      {
        "detail": "Synthetic -4 to +4 scene-unit boundary",
        "id": "geofence",
        "kind": "geofence",
        "label": "Normalized operating volume",
        "position": [
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          0.2,
          0
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        "semanticLayers": [
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        "state": "supported"
      },
      {
        "detail": "FEASIBLE \u00b7 0 candidates",
        "id": "planner",
        "kind": "planner",
        "label": "Deterministic candidate planner",
        "position": [
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          1.7,
          2.8
        ],
        "semanticLayers": [
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        ],
        "state": "supported"
      },
      {
        "detail": "PENDING",
        "id": "safety-filter",
        "kind": "assurance",
        "label": "Independent safety filter",
        "position": [
          0,
          2,
          2.8
        ],
        "semanticLayers": [
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          "assurance"
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        "state": "baseline"
      },
      {
        "detail": "start-inspection \u00b7 AVAILABLE",
        "id": "human",
        "kind": "human",
        "label": "Human supervisor",
        "position": [
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          1.7,
          2.8
        ],
        "semanticLayers": [
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        ],
        "state": "supported"
      },
      {
        "detail": "Source frame FRAME-0000 \u00b7 canonical history preserved",
        "id": "ledger",
        "kind": "provenance",
        "label": "Append-oriented evidence timeline",
        "position": [
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          -1.8,
          2.5
        ],
        "semanticLayers": [
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        ],
        "state": "supported"
      },
      {
        "detail": "No derived control state leaves the simulation",
        "id": "sink",
        "kind": "null-sink",
        "label": "Synthetic null sink",
        "position": [
          1.4,
          -1.8,
          2.5
        ],
        "semanticLayers": [
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        ],
        "state": "safe"
      },
      {
        "detail": "World-truth object not yet represented in autonomy belief",
        "id": "OBJ-017",
        "kind": "tracked-object",
        "label": "ABSTRACT MOVING OBJECT",
        "position": [
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          0.05,
          -0.05
        ],
        "semanticLayers": [
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        ],
        "state": "hidden"
      }
    ],
    "overlays": [
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        "kind": "polyline",
        "label": "Nominal route",
        "points": [
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            0,
            -3.2
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          [
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            0.05,
            -1.35
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          [
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            0.1,
            0.1
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          [
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            1.65
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            3.25
          ]
        ],
        "semanticLayers": [
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        "state": "baseline",
        "style": "dashed"
      },
      {
        "id": "route-active",
        "kind": "polyline",
        "label": "Committed active trajectory",
        "points": [
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            0,
            -3.2
          ],
          [
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            0.05,
            -1.35
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            0.1,
            0.1
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          [
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            1.65
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            3.25
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        ],
        "semanticLayers": [
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          "events"
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        "state": "supported",
        "style": "solid"
      },
      {
        "center": [
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          0,
          -3.2
        ],
        "id": "ownship-safety-envelope",
        "kind": "wire-sphere",
        "label": "Synthetic safety envelope",
        "radius": 0.72,
        "semanticLayers": [
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        ],
        "state": "safe"
      },
      {
        "id": "ownship-velocity",
        "kind": "vector",
        "label": "Velocity vector",
        "points": [
          [
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            0,
            -3.2
          ],
          [
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            0.01143,
            -2.77718
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        ],
        "semanticLayers": [
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        ],
        "state": "baseline"
      },
      {
        "center": [
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          0,
          -3.2
        ],
        "id": "sensor-envelope",
        "kind": "wire-sphere",
        "label": "Synthetic perception envelope",
        "radius": 3.1,
        "semanticLayers": [
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        ],
        "state": "baseline"
      }
    ],
    "sourceFrameDigest": "dcb7c045112ebb1cc537eb8217b4559bdcf263dda50253c97a1825f6783c609a",
    "sourceFrameId": "FRAME-0000"
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  "selectedEntityId": "goal",
  "simulationTime": 0,
  "sourceFrameDigest": "dcb7c045112ebb1cc537eb8217b4559bdcf263dda50253c97a1825f6783c609a",
  "sourceFrameId": "FRAME-0000",
  "sourceFrameIndex": 0
}

Server-rendered analytical baseline

JavaScript is required for synchronized timeline interaction and graphics. The initial table, proof conditions, event record, narrative, research sources, limitations, and safety boundary remain visible in this document.

METHODOLOGY AND LIMITS

PROVEN SCOPE AND RESERVED CLAIMS.

The authoritative deterministic Python engine evaluates bounded scenario inputs. The workbench adapter serializes the result into a versioned run envelope, derives a synchronized event-index representation, and exposes proof, evidence, metrics, narrative, and visual views without changing the underlying result.

TERMINAL: SYNTHETIC_NULL_SINK

Demonstrates

Deterministic state transitions within a declared synthetic scenario.
Traceable relationships among inputs, events, entities, proof conditions, and outputs.
Accessible parity among visual, table, narrative, metric, event, and raw-evidence representations.

Reserved for controlled acceptance

Certification or elimination of the model-to-reality gap.
Legal liability, institutional approval, operational authorization, or force authorization.
Real-world targeting, vehicle control, payload control, firing solutions, or operational intelligence.

Declared test-range bounds

The adapter reconstructs a synchronized analytical timeline from deterministic engine state; it does not invent unrecorded physical behavior.
Browser graphics and WebXR capability vary by device and are not required for analytical use.
No public anonymous run is stored by the platform.

RESEARCH TRACEABILITY

Every simulation remains connected to its evidence base.

Open full traceability

DOC Autonomous C2 Simulation Architecture →DOC Autonomous Delegation Architecture Research →DOC Autonomous System Assurance Platform →DOC Autonomous System Defensive Architecture →DOC Autonomous Systems Uncertainty Architecture →DOC Decision Provenance System Architecture →DOC Human Judgment Interface Design →DOC Synthetic Kill Web Simulator Architecture →DOC Designing An Ai Simulation For Real Time Evasion And Goal Directed Navigation →DOC Autonomous Simulation Mission Control →DOC Machine Sovereign Assurance Research →DOC Evulgare Simulation Workbench Research →

MISSION-FIRST · EVIDENCE-LOCKED · MACHINE-SPEED

DETECT → VERIFY → DENY → CONTAIN → RECOVER → PROVE

Command integrity. Decision superiority. Compartment security. Attested reconstitution.

Autonomous Drone Control Assurance Lab

Authoritative state, spatially represented

The analytical workbench remains complete without 3D.

Mission Started

Mission Started

Current proof state

Qualification

No baseline pinned

Current run

Branch from event 0

PROVEN SCOPE AND RESERVED CLAIMS.

Demonstrates

Reserved for controlled acceptance

Declared test-range bounds

Every simulation remains connected to its evidence base.

Control the active workbench without a pointer.

Export the exact bounded run.

Autonomous Drone Control Assurance Lab

Authoritative state, spatially represented

The analytical workbench remains complete without 3D.

Coordinated analytical representations

Mission Started

Mission Started

Current proof state

Qualification

No baseline pinned

Current run

Branch from event 0

PROVEN SCOPE AND RESERVED CLAIMS.

Demonstrates

Reserved for controlled acceptance

Declared test-range bounds

Every simulation remains connected to its evidence base.