State the audit method and the twelve strength-A verdicts

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----
-license: other
-tags:
-- controlnet
-- text-to-image
-- image-to-image
-- inpainting
-- sdxl
-- stable-diffusion-xl
-- illustrious-xl
-- noobai-xl
-- z-image
-- z-image-turbo
-- qwen-image
-- qwen-image-2512
-- flux
-- flux.1-dev
-- diffsynth
-- diffsynth-studio
-- quantized
-- int8
-- convrot
-- comfyui
-pipeline_tag: image-to-image
----
-# ControlNet Models (ConvRot INT8)
-<p align="center">
-  <img src="https://raw.githubusercontent.com/ussoewwin/Hybrid-Sensitivity-Weighted-Quantization/main/icon.png" width="128">
-</p>
-High-fidelity **ConvRot INT8** quantized weights for multi-condition and dedicated ControlNet models across diverse generative architectures (**Illustrious-XL / SDXL**, **SDXL 1.0**, **NoobAI-XL**, **Z-Image-Turbo**, **Qwen-Image / Qwen-Image-2512**, and **FLUX.1-dev**).
-- **Technical Details & Quantization Framework:** [Hybrid-Sensitivity-Weighted-Quantization (HSWQ)](https://github.com/ussoewwin/Hybrid-Sensitivity-Weighted-Quantization)
-- **ComfyUI Loader for ConvRot INT8:** [ComfyUI-HSWQ-Loader-and-Tools](https://github.com/ussoewwin/ComfyUI-HSWQ-Loader-and-Tools)
-## 📦 Available Models
-Sizes are decimal (1 GB = 10\^9 bytes) and exact; the `SHA256` column is the pack's own hash, so a download can be verified against it.
-| Filename | Base Architecture | Base Model / Author | Supported Conditions | Quantization | File Size | SHA256 | License |
-| :--- | :--- | :--- | :--- | :--- | :--- | :--- | :--- |
-| `CN-anytest4_illustrious2_A_hswq_convrot_int8.safetensors` | Illustrious-XL / SDXL | [2vXpSwA7/iroiro-lora (Anytest v4 Variant A)](https://huggingface.co/2vXpSwA7/iroiro-lora) | Multi-condition (Canny, Lineart, Depth, Pose, Structure) | ConvRot INT8 | 1425.1 MB | `be9ff80b2f4895684c7114afff12220394f838179b5c82eadd8ebc46f5d82c25` | Fair AI / OpenRAIL++-M |
-| `CN-anytest4_illustrious2_B_hswq_convrot_int8.safetensors` | Illustrious-XL / SDXL | [2vXpSwA7/iroiro-lora (Anytest v4 Variant B)](https://huggingface.co/2vXpSwA7/iroiro-lora) | Multi-condition (Canny, Lineart, Depth, Pose, Structure) | ConvRot INT8 | 1423.5 MB | `7e34dc3cc3334afa2b9fe5461131a1f61e289a83b1a11413d6c687e94b9dde6e` | Fair AI / OpenRAIL++-M |
-| `controlnet-union-pro-max-sdxl-1.0_hswq_convrot_int8.safetensors` | SDXL 1.0 | [xinsir/controlnet-union-sdxl-1.0](https://huggingface.co/xinsir/controlnet-union-sdxl-1.0) | OpenPose, Depth, Canny, Lineart, Anime Lineart, Scribble, Soft Edge, Normal, Segment, Tile, Inpaint | ConvRot INT8 | 1435.3 MB | `dcdf6f2037205c4a40b1f8863a91827ca3a5b55ec3261e07bb13d2dc855b47fb` | OpenRAIL++-M / Apache-2.0 |
-| `noobaiXLControlnet_epsLineartRealistic_hswq_convrot_int8.safetensors` | NoobAI-XL / SDXL | [Eugeoter/noob-sdxl-controlnet-lineart_realistic](https://huggingface.co/Eugeoter/noob-sdxl-controlnet-lineart_realistic) | Lineart (Realistic) | ConvRot INT8 | 1420.2 MB | `86e795137dcf8d2876784eeecc2d61365c385f6caf4a5176d225ecd57fdcc914` | Fair AI Public 1.0-SD |
-| `FLUX.1-dev-ControlNet-Union-Pro-2.0_hswq_convrot_int8.safetensors` | FLUX.1-dev | [Shakker-Labs/FLUX.1-dev-ControlNet-Union-Pro-2.0](https://huggingface.co/Shakker-Labs/FLUX.1-dev-ControlNet-Union-Pro-2.0) | Canny, Depth, Pose, Blur, Gray, Soft Edge, Low Quality | ConvRot INT8 | 2710.6 MB | `fbcba3c76a221fba461c83680f682d3ff7aa813ef554c42e3a5449b981090c46` | Other / Non-Commercial |
-| `Qwen-Image-2512-Fun-Controlnet-Union-2602_hswq_convrot_int8.safetensors` | Qwen-Image-2512 | [alibaba-pai/Qwen-Image-2512-Fun-Controlnet-Union](https://huggingface.co/alibaba-pai/Qwen-Image-2512-Fun-Controlnet-Union) | Canny, HED, Depth, Pose, MLSD, Scribble, Gray, Inpaint | ConvRot INT8 | 1758.7 MB | `5aec39a53f583bade3b7db18f38ed5a01905a0610c2ad2f9f792802178596bc4` | Apache-2.0 |
-| `Qwen-Image-ControlNet-Inpainting_hswq_convrot_int8.safetensors` | Qwen-Image | [alibaba-pai/Qwen-Image-ControlNet-Inpainting](https://huggingface.co/alibaba-pai/Qwen-Image-ControlNet-Inpainting) | Inpainting, Image Editing | ConvRot INT8 | 2120.3 MB | `38f0ab7495029517d4b0bb4187cedcbdfa090a29f0bb50dfa5733f5076a0c451` | Apache-2.0 |
-| `qwen_image_canny_diffsynth_controlnet_hswq_convrot_int8.safetensors` | Qwen-Image | [modelscope/DiffSynth-Studio](https://github.com/modelscope/DiffSynth-Studio) | Canny Edge Detection & Structural Guidance | ConvRot INT8 | 1135.9 MB | `c2899255252b81fd64ef2fae0fbfd86e1496ba04cf10cc95fe45679120f1c996` | Apache-2.0 |
-| `qwen_image_depth_diffsynth_controlnet_hswq_convrot_int8.safetensors` | Qwen-Image | [modelscope/DiffSynth-Studio](https://github.com/modelscope/DiffSynth-Studio) | Geometric Depth Map Guidance | ConvRot INT8 | 1135.9 MB | `7b82a9360169fa99524c03bcf913ce63713930174ad1fc332e553e5646bad44c` | Apache-2.0 |
-| `qwen_image_inpaint_diffsynth_controlnet_hswq_convrot_int8.safetensors` | Qwen-Image | [modelscope/DiffSynth-Studio](https://github.com/modelscope/DiffSynth-Studio) | Masked Inpainting & Localized Editing | ConvRot INT8 | 1135.9 MB | `471b6affc7fcedafb9940fafd6354dd6eb5fac5705e647029c90598c407c82d3` | Apache-2.0 |
-| `Z-Image-Turbo-Fun-Controlnet-Union-2.1-lite-2602-8steps_hswq_convrot_int8.safetensors` | Z-Image-Turbo | [alibaba-pai/Z-Image-Turbo-Fun-Controlnet-Union-2.1](https://huggingface.co/alibaba-pai/Z-Image-Turbo-Fun-Controlnet-Union-2.1) | Multi-condition (Canny, Depth, Pose, Color, Scribble, Inpaint) | ConvRot INT8 | 1009.7 MB | `1dd12b2d028b12df6b2a4f93856f8ab161c1edc05125e3b1c987a1694e99dba4` | Apache-2.0 |
-| `Z-Image-Turbo-Fun-Controlnet-Tile-2.1-lite-2601-8steps_hswq_convrot_int8.safetensors` | Z-Image-Turbo | [alibaba-pai/Z-Image-Turbo-Fun-Controlnet-Union-2.1](https://huggingface.co/alibaba-pai/Z-Image-Turbo-Fun-Controlnet-Union-2.1) | Tile, Super-Resolution, Detail Enhancing | ConvRot INT8 | 1009.7 MB | `2998f83ef65903b4b6b22fb7ac270ed66f9a2443220563aa43db4188024763a8` | Apache-2.0 |
-## 🚀 Usage in ComfyUI
-Install the loader extension:
-```bash
-cd ComfyUI/custom_nodes
-git clone https://github.com/ussoewwin/ComfyUI-HSWQ-Loader-and-Tools.git
-```
-Then place each file in the directory its type requires (see the table at the top):
-- **ControlNet** files go in `ComfyUI/models/controlnet/` and load with `ControlNetLoader`.
-- **Model patch** files go in `ComfyUI/models/model_patches/` and load with **`HSWQ Model Patch Loader`** (the stock `ModelPatchLoader` reads the INT8 tensors as plain weights), then apply with `ZImageFunControlnet` / `QwenImageDiffsynthControlnet`.
-## 📜 Credits & License
-### Base Models & Research
-- **Illustrious Anytest ControlNet:** [2vXpSwA7/iroiro-lora](https://huggingface.co/2vXpSwA7/iroiro-lora) by **2vXpSwA7**
-- **NoobAI-XL ControlNet:** [Eugeoter/noob-sdxl-controlnet-lineart_realistic](https://huggingface.co/Eugeoter/noob-sdxl-controlnet-lineart_realistic) by **Eugeoter** (Fair AI Public 1.0-SD)
-- **SDXL ControlNet Union:** [xinsir/controlnet-union-sdxl-1.0](https://huggingface.co/xinsir/controlnet-union-sdxl-1.0) by **xinsir**
-- **Z-Image-Turbo ControlNet Models:** [alibaba-pai/Z-Image-Turbo-Fun-Controlnet-Union-2.1](https://huggingface.co/alibaba-pai/Z-Image-Turbo-Fun-Controlnet-Union-2.1) & [aigc-apps/VideoX-Fun](https://github.com/aigc-apps/VideoX-Fun) (Apache-2.0)
-- **Qwen-Image ControlNet Models:** [alibaba-pai/Qwen-Image-2512-Fun-Controlnet-Union](https://huggingface.co/alibaba-pai/Qwen-Image-2512-Fun-Controlnet-Union), [alibaba-pai/Qwen-Image-ControlNet-Inpainting](https://huggingface.co/alibaba-pai/Qwen-Image-ControlNet-Inpainting) & [aigc-apps/VideoX-Fun](https://github.com/aigc-apps/VideoX-Fun) (Apache-2.0)
-- **Qwen-Image DiffSynth ControlNet Models:** [modelscope/DiffSynth-Studio](https://github.com/modelscope/DiffSynth-Studio) by **ModelScope / Alibaba Group** (Apache-2.0)
-- **FLUX.1-dev ControlNet Union Pro 2.0:** [Shakker-Labs/FLUX.1-dev-ControlNet-Union-Pro-2.0](https://huggingface.co/Shakker-Labs/FLUX.1-dev-ControlNet-Union-Pro-2.0) & [InstantX Team](https://huggingface.co/InstantX) (FLUX.1-dev Non-Commercial License)
-- **Base Architectures:** [Illustrious-XL](https://civitai.red/models/675574/illustrious-xl), [Stability AI SDXL 1.0](https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0) & [black-forest-labs/FLUX.1-dev](https://huggingface.co/black-forest-labs/FLUX.1-dev)
----
-**Disclaimer:** These models are provided for optimization, workflow acceleration, and research purposes. Please adhere to the licenses and terms of the respective base models.
-## 📚 Detailed documentation
-- [ControlNet ConvRot INT8 trajectory impact guide](https://github.com/ussoewwin/Hybrid-Sensitivity-Weighted-Quantization/blob/main/md/ControlNet_ConvRot_INT8_Trajectory_Impact_Technical_Guide.md)
-- [Backdoor Audit Verdicts](https://github.com/ussoewwin/Hybrid-Sensitivity-Weighted-Quantization/blob/main/md/backdoor/Backdoor_Audit_Verdicts.md)
-## 🔒 Security
-**Backdoor audit.** Each file's audit status - verdict strength, weight coverage, the record behind it,
-and the limits of what that measurement can show - is in
-[Backdoor Audit Verdicts](https://github.com/ussoewwin/Hybrid-Sensitivity-Weighted-Quantization/blob/main/md/backdoor/Backdoor_Audit_Verdicts.md). The audit code, the procedure and the raw records are in the same
-repository.
-All twelve files carry a strength-A verdict. The weight level is closed by replaying each pack with the
-instrument that produced it - the builder functions of its own family, run on the artifact's source - so the
-replay agrees with the pack value for value. Every file also has on record the loader route it is published
-for, one forward with its INT8 call count and output finiteness, one render, and the protection set it keeps
-in original precision.

+---
+license: other
+tags:
+- controlnet
+- text-to-image
+- image-to-image
+- inpainting
+- sdxl
+- stable-diffusion-xl
+- illustrious-xl
+- noobai-xl
+- z-image
+- z-image-turbo
+- qwen-image
+- qwen-image-2512
+- flux
+- flux.1-dev
+- diffsynth
+- diffsynth-studio
+- quantized
+- int8
+- convrot
+- comfyui
+pipeline_tag: image-to-image
+---
+# ControlNet Models (ConvRot INT8)
+<p align="center">
+  <img src="https://raw.githubusercontent.com/ussoewwin/Hybrid-Sensitivity-Weighted-Quantization/main/icon.png" width="128">
+</p>
+High-fidelity **ConvRot INT8** quantized weights for multi-condition and dedicated ControlNet models across diverse generative architectures (**Illustrious-XL / SDXL**, **SDXL 1.0**, **NoobAI-XL**, **Z-Image-Turbo**, **Qwen-Image / Qwen-Image-2512**, and **FLUX.1-dev**).
+- **Technical Details & Quantization Framework:** [Hybrid-Sensitivity-Weighted-Quantization (HSWQ)](https://github.com/ussoewwin/Hybrid-Sensitivity-Weighted-Quantization)
+- **ComfyUI Loader for ConvRot INT8:** [ComfyUI-HSWQ-Loader-and-Tools](https://github.com/ussoewwin/ComfyUI-HSWQ-Loader-and-Tools)
+## 📦 Available Models
+Sizes are decimal (1 GB = 10\^9 bytes) and exact; the `SHA256` column is the pack's own hash, so a download can be verified against it.
+| Filename | Base Architecture | Base Model / Author | Supported Conditions | Quantization | File Size | SHA256 | License |
+| :--- | :--- | :--- | :--- | :--- | :--- | :--- | :--- |
+| `CN-anytest4_illustrious2_A_hswq_convrot_int8.safetensors` | Illustrious-XL / SDXL | [2vXpSwA7/iroiro-lora (Anytest v4 Variant A)](https://huggingface.co/2vXpSwA7/iroiro-lora) | Multi-condition (Canny, Lineart, Depth, Pose, Structure) | ConvRot INT8 | 1425.1 MB | `be9ff80b2f4895684c7114afff12220394f838179b5c82eadd8ebc46f5d82c25` | Fair AI / OpenRAIL++-M |
+| `CN-anytest4_illustrious2_B_hswq_convrot_int8.safetensors` | Illustrious-XL / SDXL | [2vXpSwA7/iroiro-lora (Anytest v4 Variant B)](https://huggingface.co/2vXpSwA7/iroiro-lora) | Multi-condition (Canny, Lineart, Depth, Pose, Structure) | ConvRot INT8 | 1423.5 MB | `7e34dc3cc3334afa2b9fe5461131a1f61e289a83b1a11413d6c687e94b9dde6e` | Fair AI / OpenRAIL++-M |
+| `controlnet-union-pro-max-sdxl-1.0_hswq_convrot_int8.safetensors` | SDXL 1.0 | [xinsir/controlnet-union-sdxl-1.0](https://huggingface.co/xinsir/controlnet-union-sdxl-1.0) | OpenPose, Depth, Canny, Lineart, Anime Lineart, Scribble, Soft Edge, Normal, Segment, Tile, Inpaint | ConvRot INT8 | 1435.3 MB | `dcdf6f2037205c4a40b1f8863a91827ca3a5b55ec3261e07bb13d2dc855b47fb` | OpenRAIL++-M / Apache-2.0 |
+| `noobaiXLControlnet_epsLineartRealistic_hswq_convrot_int8.safetensors` | NoobAI-XL / SDXL | [Eugeoter/noob-sdxl-controlnet-lineart_realistic](https://huggingface.co/Eugeoter/noob-sdxl-controlnet-lineart_realistic) | Lineart (Realistic) | ConvRot INT8 | 1420.2 MB | `86e795137dcf8d2876784eeecc2d61365c385f6caf4a5176d225ecd57fdcc914` | Fair AI Public 1.0-SD |
+| `FLUX.1-dev-ControlNet-Union-Pro-2.0_hswq_convrot_int8.safetensors` | FLUX.1-dev | [Shakker-Labs/FLUX.1-dev-ControlNet-Union-Pro-2.0](https://huggingface.co/Shakker-Labs/FLUX.1-dev-ControlNet-Union-Pro-2.0) | Canny, Depth, Pose, Blur, Gray, Soft Edge, Low Quality | ConvRot INT8 | 2710.6 MB | `fbcba3c76a221fba461c83680f682d3ff7aa813ef554c42e3a5449b981090c46` | Other / Non-Commercial |
+| `Qwen-Image-2512-Fun-Controlnet-Union-2602_hswq_convrot_int8.safetensors` | Qwen-Image-2512 | [alibaba-pai/Qwen-Image-2512-Fun-Controlnet-Union](https://huggingface.co/alibaba-pai/Qwen-Image-2512-Fun-Controlnet-Union) | Canny, HED, Depth, Pose, MLSD, Scribble, Gray, Inpaint | ConvRot INT8 | 1758.7 MB | `5aec39a53f583bade3b7db18f38ed5a01905a0610c2ad2f9f792802178596bc4` | Apache-2.0 |
+| `Qwen-Image-ControlNet-Inpainting_hswq_convrot_int8.safetensors` | Qwen-Image | [alibaba-pai/Qwen-Image-ControlNet-Inpainting](https://huggingface.co/alibaba-pai/Qwen-Image-ControlNet-Inpainting) | Inpainting, Image Editing | ConvRot INT8 | 2120.3 MB | `38f0ab7495029517d4b0bb4187cedcbdfa090a29f0bb50dfa5733f5076a0c451` | Apache-2.0 |
+| `qwen_image_canny_diffsynth_controlnet_hswq_convrot_int8.safetensors` | Qwen-Image | [modelscope/DiffSynth-Studio](https://github.com/modelscope/DiffSynth-Studio) | Canny Edge Detection & Structural Guidance | ConvRot INT8 | 1135.9 MB | `c2899255252b81fd64ef2fae0fbfd86e1496ba04cf10cc95fe45679120f1c996` | Apache-2.0 |
+| `qwen_image_depth_diffsynth_controlnet_hswq_convrot_int8.safetensors` | Qwen-Image | [modelscope/DiffSynth-Studio](https://github.com/modelscope/DiffSynth-Studio) | Geometric Depth Map Guidance | ConvRot INT8 | 1135.9 MB | `7b82a9360169fa99524c03bcf913ce63713930174ad1fc332e553e5646bad44c` | Apache-2.0 |
+| `qwen_image_inpaint_diffsynth_controlnet_hswq_convrot_int8.safetensors` | Qwen-Image | [modelscope/DiffSynth-Studio](https://github.com/modelscope/DiffSynth-Studio) | Masked Inpainting & Localized Editing | ConvRot INT8 | 1135.9 MB | `471b6affc7fcedafb9940fafd6354dd6eb5fac5705e647029c90598c407c82d3` | Apache-2.0 |
+| `Z-Image-Turbo-Fun-Controlnet-Union-2.1-lite-2602-8steps_hswq_convrot_int8.safetensors` | Z-Image-Turbo | [alibaba-pai/Z-Image-Turbo-Fun-Controlnet-Union-2.1](https://huggingface.co/alibaba-pai/Z-Image-Turbo-Fun-Controlnet-Union-2.1) | Multi-condition (Canny, Depth, Pose, Color, Scribble, Inpaint) | ConvRot INT8 | 1009.7 MB | `1dd12b2d028b12df6b2a4f93856f8ab161c1edc05125e3b1c987a1694e99dba4` | Apache-2.0 |
+| `Z-Image-Turbo-Fun-Controlnet-Tile-2.1-lite-2601-8steps_hswq_convrot_int8.safetensors` | Z-Image-Turbo | [alibaba-pai/Z-Image-Turbo-Fun-Controlnet-Union-2.1](https://huggingface.co/alibaba-pai/Z-Image-Turbo-Fun-Controlnet-Union-2.1) | Tile, Super-Resolution, Detail Enhancing | ConvRot INT8 | 1009.7 MB | `2998f83ef65903b4b6b22fb7ac270ed66f9a2443220563aa43db4188024763a8` | Apache-2.0 |
+## 🚀 Usage in ComfyUI
+Install the loader extension:
+```bash
+cd ComfyUI/custom_nodes
+git clone https://github.com/ussoewwin/ComfyUI-HSWQ-Loader-and-Tools.git
+```
+Then place each file in the directory its type requires (see the table at the top):
+- **ControlNet** files go in `ComfyUI/models/controlnet/` and load with `ControlNetLoader`.
+- **Model patch** files go in `ComfyUI/models/model_patches/` and load with **`HSWQ Model Patch Loader`** (the stock `ModelPatchLoader` reads the INT8 tensors as plain weights), then apply with `ZImageFunControlnet` / `QwenImageDiffsynthControlnet`.
+## 📜 Credits & License
+### Base Models & Research
+- **Illustrious Anytest ControlNet:** [2vXpSwA7/iroiro-lora](https://huggingface.co/2vXpSwA7/iroiro-lora) by **2vXpSwA7**
+- **NoobAI-XL ControlNet:** [Eugeoter/noob-sdxl-controlnet-lineart_realistic](https://huggingface.co/Eugeoter/noob-sdxl-controlnet-lineart_realistic) by **Eugeoter** (Fair AI Public 1.0-SD)
+- **SDXL ControlNet Union:** [xinsir/controlnet-union-sdxl-1.0](https://huggingface.co/xinsir/controlnet-union-sdxl-1.0) by **xinsir**
+- **Z-Image-Turbo ControlNet Models:** [alibaba-pai/Z-Image-Turbo-Fun-Controlnet-Union-2.1](https://huggingface.co/alibaba-pai/Z-Image-Turbo-Fun-Controlnet-Union-2.1) & [aigc-apps/VideoX-Fun](https://github.com/aigc-apps/VideoX-Fun) (Apache-2.0)
+- **Qwen-Image ControlNet Models:** [alibaba-pai/Qwen-Image-2512-Fun-Controlnet-Union](https://huggingface.co/alibaba-pai/Qwen-Image-2512-Fun-Controlnet-Union), [alibaba-pai/Qwen-Image-ControlNet-Inpainting](https://huggingface.co/alibaba-pai/Qwen-Image-ControlNet-Inpainting) & [aigc-apps/VideoX-Fun](https://github.com/aigc-apps/VideoX-Fun) (Apache-2.0)
+- **Qwen-Image DiffSynth ControlNet Models:** [modelscope/DiffSynth-Studio](https://github.com/modelscope/DiffSynth-Studio) by **ModelScope / Alibaba Group** (Apache-2.0)
+- **FLUX.1-dev ControlNet Union Pro 2.0:** [Shakker-Labs/FLUX.1-dev-ControlNet-Union-Pro-2.0](https://huggingface.co/Shakker-Labs/FLUX.1-dev-ControlNet-Union-Pro-2.0) & [InstantX Team](https://huggingface.co/InstantX) (FLUX.1-dev Non-Commercial License)
+- **Base Architectures:** [Illustrious-XL](https://civitai.red/models/675574/illustrious-xl), [Stability AI SDXL 1.0](https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0) & [black-forest-labs/FLUX.1-dev](https://huggingface.co/black-forest-labs/FLUX.1-dev)
+---
+**Disclaimer:** These models are provided for optimization, workflow acceleration, and research purposes. Please adhere to the licenses and terms of the respective base models.
+## 📚 Detailed documentation
+- [ControlNet ConvRot INT8 trajectory impact guide](https://github.com/ussoewwin/Hybrid-Sensitivity-Weighted-Quantization/blob/main/md/ControlNet_ConvRot_INT8_Trajectory_Impact_Technical_Guide.md)
+- [Backdoor Audit Verdicts](https://github.com/ussoewwin/Hybrid-Sensitivity-Weighted-Quantization/blob/main/md/backdoor/Backdoor_Audit_Verdicts.md)
+## 🔒 Security
+**Backdoor audit.** Each file's audit status - verdict strength, weight coverage, the record behind it,
+and the limits of what that measurement can show - is in
+[Backdoor Audit Verdicts](https://github.com/ussoewwin/Hybrid-Sensitivity-Weighted-Quantization/blob/main/md/backdoor/Backdoor_Audit_Verdicts.md). The audit code, the procedure and the raw records are in the same
+repository.