{"data":{"accepted_manifest":{"case_count":17,"manifest_id":"EV-ABM-1.6.0-20260805","manifest_sha256":"02b7cfb93a1f01dc99d5d422fbb99a46cb41a02e85198f95d231496c19f4e163","status":"ACCEPTED_SYNTHETIC_BASELINE","suite_count":4},"boundary":{"coordinate_system":"SYNTHETIC_NORMALIZED_SCENE_UNITS","external_command_channel":false,"flight_protocols":[],"force_authorization":false,"hardware_interfaces":[],"operational_route_planning":false,"output_terminal":"SYNTHETIC_NULL_SINK","payload_control":false,"public_persistence":false,"real_vehicle_control":false,"real_world_coordinates":false,"target_ranking":false,"target_selection":false,"terminal_guidance":false,"weapon_functions":false},"candidate_profiles":[{"changes_input":false,"changes_scope":false,"description":"No candidate input or scope changes. Every case should reproduce the accepted baseline.","id":"exact-replay","name":"Exact accepted replay"},{"changes_input":true,"changes_scope":true,"description":"Increases deterministic sensing and tracking latency while preserving normalized bounds.","id":"later-sensing","name":"Later sensing and tracking"},{"changes_input":true,"changes_scope":true,"description":"Increases synthetic noise and future-occupancy uncertainty without adding real-world sensing data.","id":"uncertainty-expansion","name":"Expanded prediction uncertainty"},{"changes_input":true,"changes_scope":true,"description":"Removes one independent assurance gate so minimum-risk behavior and claim withdrawal are visible.","id":"assurance-gate-loss","name":"Separation assurance unavailable"},{"changes_input":true,"changes_scope":true,"description":"Marks software/configuration attestation unavailable and requires a bounded safe state.","id":"software-attestation-loss","name":"Software attestation unavailable"},{"changes_input":true,"changes_scope":true,"description":"Removes current synthetic authority so the authority/supervision claim is withdrawn and the action falls back to a bounded hold.","id":"authority-unavailable","name":"Delegated authority unavailable"},{"changes_input":true,"changes_scope":true,"description":"Changes the predeclared lost-link fallback and policy version without creating a new route or objective.","id":"lost-link-policy-change","name":"Lost-link policy changed to return"},{"changes_input":false,"changes_scope":true,"description":"Changes only the declared software scope to demonstrate that identical outputs do not preserve accepted evidence automatically.","id":"scope-only-software-change","name":"Software version changed; behavior unchanged"}],"candidate_scope_fields":["assumptions_id","assurance_profile_version","comparison_engine_version","configuration_version","coordinate_system","navigation_engine_version","policy_version","regression_engine_version","release_version"],"claims":[{"id":"EV-REG-CLAIM-BASELINE-SCOPE","statement":"The candidate remains inside the exact accepted versions, inputs, seeds, assumptions, and declared public bounds."},{"id":"EV-REG-CLAIM-DETERMINISTIC-REPLAY","statement":"Accepted and candidate runs reproduce their logical histories for the same versioned normalized inputs and seed."},{"id":"EV-REG-CLAIM-PERCEPTION-TRACKING","statement":"Perception, observation, track, prediction, and uncertainty evidence remain supported for the candidate scope."},{"id":"EV-REG-CLAIM-PLANNER-SAFETY","statement":"Candidate generation, selection, safety-filter intervention, and applied synthetic action remain reconstructable and bounded."},{"id":"EV-REG-CLAIM-AUTHORITY-SUPERVISION","statement":"Current authority and declared human-supervision conditions continue to bound candidate behavior."},{"id":"EV-REG-CLAIM-PROVENANCE","statement":"Every accepted and candidate history remains separate, append-oriented, hash-addressed, and replayable."},{"id":"EV-REG-CLAIM-MISSION-OUTCOME","statement":"The candidate mission result remains supported within the accepted synthetic scope."},{"id":"EV-REG-CLAIM-PUBLIC-BOUNDARY","statement":"The candidate remains normalized, synthetic, non-operational, non-persistent, and terminated at the synthetic null sink."}],"comparison_engine_version":"1.6.0","composite_assurance_score":false,"contract_sha256":"718023e077c9d83f141d091b2f043cecdc5ba348007b8f8fee5c85a4727045c4","engine_version":"1.6.0","export_fields":["candidate_overrides","candidate_profile","candidate_scope","case_overrides","include_frames","label","manifest_id","previous_candidate_profile","suite_id"],"navigation_engine_version":"1.6.0","no_composite_score":true,"notice":"SYNTHETIC TECHNOLOGY DEMONSTRATION \u2014 This deterministic scene uses fictional inspection objectives, normalized scene units, bounded abstract trajectories, and a synthetic null sink. It is not an operational aircraft, targeting, planning, command, payload, weapon, or force-authorization system.","public_persistence":false,"qualification":"Regression evidence applies only to exact accepted synthetic scope. It does not certify a real system, establish legal approval, or determine responsibility.","run_fields":["candidate_overrides","candidate_profile","candidate_scope","case_overrides","manifest_id","previous_candidate_profile","suite_id"],"schema":"evulgare.autonomy-regression-contract.v1","source_reports":["autonomous-weapons-simulation-platform","autonomous-delegation-architecture-research","human-judgment-interface-design","synthetic-kill-web-simulator-architecture","decision-provenance-system-architecture","autonomous-c2-simulation-architecture","autonomous-systems-uncertainty-architecture","autonomous-system-defensive-architecture","autonomous-system-assurance-platform","designing-an-ai-simulation-for-real-time-evasion-and-goal-directed-navigation"],"status_vocabulary":["PASS","QUALIFIED","REVIEW_REQUIRED","WITHDRAWN"],"statuses":["PASS","QUALIFIED","REVIEW_REQUIRED","WITHDRAWN"],"suites":[{"case_count":6,"case_ids":["EV-REG-001","EV-REG-002","EV-REG-003","EV-REG-006","EV-REG-008","EV-REG-016"],"description":"Nominal operation, unexpected objects, constrained alternatives, minimum-risk behavior, and route recovery.","id":"core-navigation","name":"Core navigation and recovery","order":1,"suite_sha256":"02d7d5b94dc1be72ce7e32d4ca904f640422f90593fa15e251bc72297788d070"},{"case_count":6,"case_ids":["EV-REG-003","EV-REG-005","EV-REG-009","EV-REG-010","EV-REG-011","EV-REG-017"],"description":"Observability delay, reversing tracks, ambiguous evidence, false positives, sensing degradation, and late detection.","id":"perception-and-uncertainty","name":"Perception, tracking, and uncertainty","order":2,"suite_sha256":"1343e742d58117094a1ce5719de9ff671777df89b444d9fe944979268b9fbbc8"},{"case_count":7,"case_ids":["EV-REG-008","EV-REG-011","EV-REG-012","EV-REG-013","EV-REG-014","EV-REG-015","EV-REG-016"],"description":"Navigation integrity, separation assurance, lost link, goal/safety conflict, blocked routes, and minimum-risk outcomes.","id":"assurance-and-recovery","name":"Assurance gates and degraded recovery","order":3,"suite_sha256":"8904025936d4f4f51996efe930df0ab92f8bb415094e5f9e5815f279a2c21127"},{"case_count":17,"case_ids":["EV-REG-001","EV-REG-002","EV-REG-003","EV-REG-004","EV-REG-005","EV-REG-006","EV-REG-007","EV-REG-008","EV-REG-009","EV-REG-010","EV-REG-011","EV-REG-012","EV-REG-013","EV-REG-014","EV-REG-015","EV-REG-016","EV-REG-017"],"description":"All seventeen deterministic public-safe autonomy-navigation scenarios in accepted order.","id":"full-public-regression","name":"Full public synthetic regression suite","order":4,"suite_sha256":"cfcb2f2965e6a988c04e813bfb8ebe9430115e30cbf90b00feed775ab869e989"}]},"meta":{"composite_assurance_score":false,"operational":false,"persisted":false,"request_id":"717659e4-2e3d-42b1-a0a9-2fe6bb5ef31f","synthetic":true},"ok":true}