{
  "schema": "nullradial-release-benchmark/v1",
  "release_id": "NULLRADIAL-BENCH-R1",
  "generated_at_utc": "2026-08-30T03:56:18.673326+00:00",
  "scope": "Generic COCO person/vehicle detection robustness only.",
  "primary_metric_definition": "Mean confidence disruption including misses; baseline confidence minus matched-variant confidence, with an unmatched baseline detection assigned its full baseline confidence.",
  "radial_specific_contrast_definition": "radial disruption minus exact-histogram spatial-permutation-control disruption; positive means greater measured disruption from the radial layout.",
  "models": {
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      "source_revision": "57657320425ee34056408a57ad9d29c4d4815bd8",
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      "license": "AGPL-3.0 per embedded metadata/model repository",
      "confidence_threshold": 0.25,
      "preprocessing": "RGB; 640x640 aspect-preserving letterbox with value 114; float32 /255; NCHW",
      "postprocessing": "exported [1,300,6] xyxy/conf/class; confidence filter; no additional NMS"
    },
    "detr-resnet50-quantized": {
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      "source_revision": "8be7ab59ff663484ee9ba2e8d8f267330d5ad03e",
      "sha256": "cae09a307ed9247da7e2ce8bcf81522a6817f1ea2e82b9c4dde59f5964b62b4f",
      "config_sha256": "2daaf8af0b4fe9d075fd728a6967b89a1084849d1b25de26338f97cd6ef41466",
      "preprocessor_config_sha256": "fd7b4c38d03d99e37f75eebba889e064db89fed8fd451139442d010a11f2dc5e",
      "license": "Upstream facebook/detr-resnet-50 model card: Apache-2.0; Xenova port card has no explicit license field\u2014verify before redistribution",
      "confidence_threshold": 0.5,
      "preprocessing": "RGB; shortest edge 800, longest <=1333, bilinear; /255; mean [0.485,.456,.406], std [.229,.224,.225]; NCHW; fixed 64x64 int64 ones pixel_mask required by export",
      "postprocessing": "softmax 92 logits; exclude final no-object; normalized cxcywh to original xyxy; no NMS"
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    "platform": "Linux-6.18.35-x86_64-with-glibc2.39",
    "numpy": "2.3.5",
    "onnxruntime": "1.23.2",
    "provider": "CPUExecutionProvider"
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  "protocol": {
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    "target_classes": [
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      "bus",
      "car",
      "motorcycle",
      "person",
      "train",
      "truck"
    ],
    "composite_strength": 0.64,
    "composite_format": "lossless PNG",
    "control": "seeded 128px block permutation/quarter-turns preserving exact RGB histogram",
    "aggregation": "equal weight per detector x scene cell; scene-cluster bootstrap"
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  "bootstrap": {
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    "replicates": 10000,
    "cluster": "scene",
    "note": "Four unique scenes only; intervals are exploratory and discrete."
  },
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      "purpose": "Exact RGB-histogram control with disrupted global radial layout.",
      "limitations": "Local motif fragments and source spatial frequencies remain; this is not a perfect causal isolation of radiality.",
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      "contrast_ci_excludes_zero_positive": false,
      "effect_rank": 1
    },
    {
      "pattern": "signal-moss",
      "planned_detector_scene_cells": 8,
      "paired_detector_scene_cells": 7,
      "excluded_cells": [
        {
          "detector": "yolov10n",
          "scene": "reference-shirt",
          "reason": "zero target detections in baseline"
        }
      ],
      "radial_mean_disruption": 0.143,
      "control_mean_disruption": 0.199657,
      "radial_specific_disruption_contrast": -0.056658,
      "radial_mean_association_continuity": 0.825397,
      "control_mean_association_continuity": 0.777778,
      "radial_mean_matched_iou": 0.861424,
      "control_mean_matched_iou": 0.809726,
      "radial_mean_centroid_drift_fraction_diagonal": 0.03084,
      "control_mean_centroid_drift_fraction_diagonal": 0.048715,
      "contrast_by_detector": {
        "detr-resnet50-quantized": -0.039753,
        "yolov10n": -0.079197
      },
      "cross_detector_positive_direction": false,
      "scene_cluster_bootstrap_ci95": {
        "radial_mean_disruption": [
          0.079443,
          0.244115
        ],
        "control_mean_disruption": [
          0.079913,
          0.300655
        ],
        "radial_specific_disruption_contrast": [
          -0.114941,
          0.005789
        ],
        "radial_mean_association_continuity": [
          0.592592,
          1.0
        ],
        "control_mean_association_continuity": [
          0.481481,
          1.0
        ]
      },
      "contrast_ci_excludes_zero_positive": false,
      "effect_rank": 2
    },
    {
      "pattern": "parallax-bloom",
      "planned_detector_scene_cells": 8,
      "paired_detector_scene_cells": 7,
      "excluded_cells": [
        {
          "detector": "yolov10n",
          "scene": "reference-shirt",
          "reason": "zero target detections in baseline"
        }
      ],
      "radial_mean_disruption": 0.202125,
      "control_mean_disruption": 0.262616,
      "radial_specific_disruption_contrast": -0.060491,
      "radial_mean_association_continuity": 0.71746,
      "control_mean_association_continuity": 0.674603,
      "radial_mean_matched_iou": 0.878895,
      "control_mean_matched_iou": 0.853544,
      "radial_mean_centroid_drift_fraction_diagonal": 0.027487,
      "control_mean_centroid_drift_fraction_diagonal": 0.033854,
      "contrast_by_detector": {
        "detr-resnet50-quantized": -0.085665,
        "yolov10n": -0.026926
      },
      "cross_detector_positive_direction": false,
      "scene_cluster_bootstrap_ci95": {
        "radial_mean_disruption": [
          0.113443,
          0.361255
        ],
        "control_mean_disruption": [
          0.100981,
          0.478129
        ],
        "radial_specific_disruption_contrast": [
          -0.195872,
          0.068931
        ],
        "radial_mean_association_continuity": [
          0.407407,
          0.95
        ],
        "control_mean_association_continuity": [
          0.240741,
          1.0
        ]
      },
      "contrast_ci_excludes_zero_positive": false,
      "effect_rank": 3
    }
  ],
  "decision": {
    "strongest_pattern": {
      "pattern": "ember-halo",
      "planned_detector_scene_cells": 8,
      "paired_detector_scene_cells": 7,
      "excluded_cells": [
        {
          "detector": "yolov10n",
          "scene": "reference-shirt",
          "reason": "zero target detections in baseline"
        }
      ],
      "radial_mean_disruption": 0.31231,
      "control_mean_disruption": 0.234536,
      "radial_specific_disruption_contrast": 0.077774,
      "radial_mean_association_continuity": 0.55873,
      "control_mean_association_continuity": 0.690476,
      "radial_mean_matched_iou": 0.772027,
      "control_mean_matched_iou": 0.85505,
      "radial_mean_centroid_drift_fraction_diagonal": 0.066326,
      "control_mean_centroid_drift_fraction_diagonal": 0.029542,
      "contrast_by_detector": {
        "detr-resnet50-quantized": 0.08028,
        "yolov10n": 0.074433
      },
      "cross_detector_positive_direction": true,
      "scene_cluster_bootstrap_ci95": {
        "radial_mean_disruption": [
          0.09821,
          0.597777
        ],
        "control_mean_disruption": [
          0.089832,
          0.412182
        ],
        "radial_specific_disruption_contrast": [
          -0.040867,
          0.185595
        ],
        "radial_mean_association_continuity": [
          0.037037,
          0.95
        ],
        "control_mean_association_continuity": [
          0.277778,
          1.0
        ]
      },
      "contrast_ci_excludes_zero_positive": false,
      "effect_rank": 1
    },
    "revision_lock": {
      "definition": "Revision-controlled generator seed, SVG/PNG bytes, hashes, and benchmark baseline only; never a security certification.",
      "status": "LOCKED_RESEARCH_REVISION",
      "revision_id": "NR-EMBER-HALO-R1",
      "pattern": "ember-halo",
      "reason": "Highest positive radial-specific disruption point estimate in this release; locked for reproducible follow-up, not validated performance.",
      "svg_sha256": "2127475bca07b6870fbf769d848a282d82abd9fb201ed6e0f228f2dfdaa689bf",
      "png_sha256": "e5dbffb58ac7ee00d2482f97beacf4875469fb820b07ae1fab793a02ffb049f3",
      "generator_seed": 44093,
      "effect_ci_excludes_zero_positive": false,
      "cross_detector_positive_direction": true,
      "security_certified": false
    },
    "claim": "No pattern is certified undetectable or safe for evasion; lock is revision control only."
  },
  "reference_baseline_observations": [
    {
      "scene": "reference-vehicle",
      "detector": "yolov10n",
      "target_counts": {
        "car": 1,
        "person": 1,
        "truck": 1
      }
    },
    {
      "scene": "reference-shirt",
      "detector": "yolov10n",
      "target_counts": {}
    },
    {
      "scene": "reference-vehicle",
      "detector": "detr-resnet50-quantized",
      "target_counts": {
        "car": 2
      }
    },
    {
      "scene": "reference-shirt",
      "detector": "detr-resnet50-quantized",
      "target_counts": {
        "person": 9
      }
    }
  ],
  "limitations": [
    "Only four distinct scenes, two detectors, one threshold per detector, and synthetic surface recoloring were tested.",
    "The two supplied references already contain a pattern and screenshot framing; they are real-reference observations, not neutral before images.",
    "Hand-authored masks approximate printable surfaces and do not model folds, gloss, compound curvature, weather, distance, motion blur, print gamut, or installation seams.",
    "The block-permutation control exactly matches RGB histogram and retains local texture, but block boundaries and motif fragments mean it does not isolate radiality perfectly.",
    "DETR can emit pattern-induced false positives without NMS; these are retained because no NMS is the documented DETR set-prediction path.",
    "Detection association metrics are two-frame stability proxies, not a real temporal tracker benchmark.",
    "No face recognition, identity, biometric, license-plate, segmentation model, autonomous-driving system, or safety-critical stack was tested.",
    "Bootstrap intervals with four scene clusters are too small for population inference or marketing performance guarantees."
  ]
}