License original contributions and trained checkpoints under Apache 2.0

LICENSE

@@ -1,21 +1,202 @@
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-SOFTWARE.
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LICENSE_SCOPE.md

@@ -1,17 +1,39 @@
 # License scope
 
-The [MIT License](LICENSE) applies to the original code, documentation and modifications contributed by the KaryoFlow contributors, to the extent that they hold the relevant rights. It does not replace licenses for third-party material.
+## Original code and documentation
+
+The [Apache License, Version 2.0](LICENSE) applies to original code, documentation
+and modifications contributed by the KaryoFlow contributors, to the extent that
+they hold the relevant rights. Copyright and attribution are recorded in [NOTICE](NOTICE).
+
+## Trained checkpoints
+
+The contributors' rights in the 34 trained checkpoints provided with this release
+are licensed under Apache-2.0. [Checkpoint licensing](WEIGHTS_LICENSE.md) lists the
+covered files and identifies upstream initialization sources. This grant does
+not relicense third-party pretrained parameters or confer rights held by others.
 
 ## DiffusionDet-derived code
 
-KaryoFlow adapts the DiffusionDet detection framework. Material copied or adapted from DiffusionDet remains subject to its [CC BY-NC 4.0 license](licenses/DiffusionDet.txt), including attribution and noncommercial-use conditions. MIT covers only the contributors' own additions and modifications; it does not grant commercial-use rights to the underlying DiffusionDet material or to a combined implementation that requires those rights.
+Material copied or adapted from DiffusionDet retains its [CC BY-NC 4.0 license](licenses/DiffusionDet.txt),
+including attribution and noncommercial-use conditions. Apache-2.0 covers the
+contributors' own additions; it does not grant commercial-use rights to the
+underlying DiffusionDet material or to a combined implementation that requires
+those rights. This applies within mixed files as well as copied files.
 
-These conditions apply wherever DiffusionDet-derived material occurs, including within files that also contain original KaryoFlow contributions. Moving or modifying upstream code does not remove its license. See [Third-party software and methods](THIRD_PARTY_NOTICES.md) for attribution and a description of the changes.
+The code's license and the checkpoint grant have separate scopes. Licensing
+checkpoint contributions under Apache-2.0 does not change the terms of the code
+used to train or run them.
 
-## Other third-party software
+## Other third-party material
 
-Third-party code and dependencies retain their respective licenses and notices. The MIT license for KaryoFlow contributions does not relicense MMDetection, MMCV, MMEngine, PyTorch or Torchvision.
+Dependencies, upstream pretrained parameters, datasets and example images retain
+their respective terms and notices. This release does not relicense MMDetection,
+MMCV, MMEngine, PyTorch or Torchvision, or grant access to Dataset 1. See
+[third-party notices](THIRD_PARTY_NOTICES.md) and [data preparation](reproducibility/data.md).
 
-## Datasets, example images and checkpoints
+## Earlier releases
 
-Datasets and example images are excluded from the code license and retain their source terms; see [Data preparation and attribution](reproducibility/data.md). Model checkpoints are also outside the scope of this code license; their distribution and use terms must be specified separately with the checkpoint release.
+Earlier distributions of original KaryoFlow contributions under MIT retain the
+permissions already granted with those copies. This release adopts Apache-2.0
+without changing the licenses attached to earlier copies or third-party material.

NOTICE

@@ -0,0 +1,13 @@
+KaryoFlow
+Copyright 2026 KaryoFlow contributors
+
+Original KaryoFlow code, documentation and the contributors' rights in the
+released trained checkpoints are licensed under the Apache License, Version 2.0.
+
+The implementation includes material adapted from DiffusionDet by Shoufa Chen,
+Peize Sun, Yibing Song and Ping Luo. That material retains its Creative Commons
+Attribution-NonCommercial 4.0 International license.
+
+See LICENSE_SCOPE.md, WEIGHTS_LICENSE.md and THIRD_PARTY_NOTICES.md for the
+scope of the release and upstream attribution. This notice does not alter
+the terms of any license.

README.md

@@ -1,5 +1,5 @@
 ---
-license: mit
+license: apache-2.0
 pipeline_tag: object-detection
 language:
 - en
@@ -91,6 +91,14 @@ Dataset 1 images are not distributed. Downloading its checkpoints does not provi
 
 ## License and attribution
 
-The MIT designation applies to original KaryoFlow code and documentation contributions; it is not a blanket license for all materials. Checkpoint files are outside the scope of the code license. See [License scope](LICENSE_SCOPE.md) for the applicable boundaries.
-
-Code adapted from DiffusionDet retains its CC BY-NC 4.0 terms. Other third-party components and datasets retain their own licenses and attribution requirements. See [Third-party software and methods](THIRD_PARTY_NOTICES.md).
+Original KaryoFlow code and documentation, together with the contributors' rights
+in the 34 trained checkpoints in this repository, are licensed under the
+[Apache License, Version 2.0](LICENSE). The [checkpoint license statement](WEIGHTS_LICENSE.md)
+lists every covered file and its upstream initialization source. A license copy
+is also provided in the [checkpoint directory](weights/LICENSE).
+
+Upstream pretrained parameters retain their applicable terms and notices. Code
+adapted from DiffusionDet remains subject to CC BY-NC 4.0; the checkpoint grant
+does not remove the noncommercial conditions on that code. Datasets and example
+images retain their source terms. See [License scope](LICENSE_SCOPE.md),
+[NOTICE](NOTICE) and [third-party attribution](THIRD_PARTY_NOTICES.md).

THIRD_PARTY_NOTICES.md

@@ -17,4 +17,6 @@ The implementation also follows these published methods:
 
 Dataset 2 examples are attributed in [data preparation](reproducibility/data.md). Dataset terms apply independently of software terms.
 
-Original KaryoFlow contributions are licensed under the [MIT License](LICENSE). This grant does not replace upstream licenses or remove the noncommercial restriction on DiffusionDet-derived material. See [License scope](LICENSE_SCOPE.md) for the boundary between original contributions, third-party material and non-code assets.
+Original KaryoFlow contributions are licensed under the [Apache License, Version 2.0](LICENSE). This grant does not replace upstream licenses or remove the noncommercial restriction on DiffusionDet-derived material. See [License scope](LICENSE_SCOPE.md) for the boundary between original contributions, third-party material and non-code assets.
+
+Checkpoint initialization sources and license scope are listed in [Checkpoint licensing](WEIGHTS_LICENSE.md).

WEIGHTS_LICENSE.md

@@ -0,0 +1,69 @@
+# Checkpoint licensing
+
+The KaryoFlow contributors license their contributions to the 34 trained checkpoint
+files listed below under the [Apache License, Version 2.0](LICENSE). The grant
+applies to the rights they hold in these checkpoints, including the released
+KaryoFlow, LQCR, H3 and comparison-model training results. It does not relicense
+upstream pretrained parameters or grant rights held by third parties.
+
+Keep the Apache license and applicable notices when redistributing covered
+material. Data and example images have separate terms. The grant does not provide
+access to the underlying training datasets or certify clinical suitability.
+
+## Initialization and upstream notices
+
+The released configurations specify Torchvision ResNet-50 initialization for
+KaryoFlow, Cascade R-CNN and DiffusionDet. LQCR loads the matched KaryoFlow parent;
+H3 uses a matched KaryoFlow teacher. RTMDet uses OpenMMLab CSPNeXt-L ImageNet
+pretraining. The YOLOX configurations do not specify an external pretrained checkpoint.
+These are configuration records, not an assertion that upstream rights have been transferred.
+
+- [Torchvision](https://github.com/pytorch/vision): retain applicable upstream
+  [license and notices](https://github.com/pytorch/vision/blob/main/LICENSE).
+- [OpenMMLab RTMDet](https://github.com/open-mmlab/mmdetection/tree/main/configs/rtmdet):
+  retain applicable upstream [Apache-2.0 terms](licenses/Apache-2.0.txt) and notices.
+- [DiffusionDet-derived code](licenses/DiffusionDet.txt) remains CC BY-NC 4.0.
+  The checkpoint grant does not remove the noncommercial conditions on that code.
+
+## Covered files
+
+The [machine-readable index](reproducibility/checkpoint_licenses.json) maps each file
+to its model, configuration and initialization source. Euler and Heun reuse the
+KaryoFlow files; there are no separate solver checkpoints.
+
+| Checkpoint | Model | Dataset |
+| --- | --- | --- |
+| `weights/d1_cascade_rcnn_seed123.pth` | Cascade R-CNN | D1 |
+| `weights/d1_cascade_rcnn_seed42.pth` | Cascade R-CNN | D1 |
+| `weights/d1_cascade_rcnn_seed789.pth` | Cascade R-CNN | D1 |
+| `weights/d1_diffusiondet_seed123.pth` | DiffusionDet | D1 |
+| `weights/d1_diffusiondet_seed42.pth` | DiffusionDet | D1 |
+| `weights/d1_diffusiondet_seed789.pth` | DiffusionDet | D1 |
+| `weights/d1_karyoflow_h3_seed123.pth` | KaryoFlow H3 | D1 |
+| `weights/d1_karyoflow_h3_seed42.pth` | KaryoFlow H3 | D1 |
+| `weights/d1_karyoflow_h3_seed789.pth` | KaryoFlow H3 | D1 |
+| `weights/d1_karyoflow_lqcr_seed123.pth` | KaryoFlow + LQCR | D1 |
+| `weights/d1_karyoflow_lqcr_seed42.pth` | KaryoFlow + LQCR | D1 |
+| `weights/d1_karyoflow_lqcr_seed789.pth` | KaryoFlow + LQCR | D1 |
+| `weights/d1_karyoflow_seed123.pth` | KaryoFlow | D1 |
+| `weights/d1_karyoflow_seed42.pth` | KaryoFlow | D1 |
+| `weights/d1_karyoflow_seed789.pth` | KaryoFlow | D1 |
+| `weights/d1_rtmdet_l_seed123.pth` | RTMDet-L | D1 |
+| `weights/d1_rtmdet_l_seed42.pth` | RTMDet-L | D1 |
+| `weights/d1_rtmdet_l_seed789.pth` | RTMDet-L | D1 |
+| `weights/d1_yolox_s_seed123.pth` | YOLOX-S | D1 |
+| `weights/d1_yolox_s_seed42.pth` | YOLOX-S | D1 |
+| `weights/d1_yolox_s_seed789.pth` | YOLOX-S | D1 |
+| `weights/d2_cascade_rcnn.pth` | Cascade R-CNN | D2 |
+| `weights/d2_diffusiondet.pth` | DiffusionDet | D2 |
+| `weights/d2_karyoflow_h3_seed123.pth` | KaryoFlow H3 | D2 |
+| `weights/d2_karyoflow_h3_seed42.pth` | KaryoFlow H3 | D2 |
+| `weights/d2_karyoflow_h3_seed789.pth` | KaryoFlow H3 | D2 |
+| `weights/d2_karyoflow_lqcr_seed123.pth` | KaryoFlow + LQCR | D2 |
+| `weights/d2_karyoflow_lqcr_seed42.pth` | KaryoFlow + LQCR | D2 |
+| `weights/d2_karyoflow_lqcr_seed789.pth` | KaryoFlow + LQCR | D2 |
+| `weights/d2_karyoflow_seed123.pth` | KaryoFlow | D2 |
+| `weights/d2_karyoflow_seed42.pth` | KaryoFlow | D2 |
+| `weights/d2_karyoflow_seed789.pth` | KaryoFlow | D2 |
+| `weights/d2_rtmdet_l.pth` | RTMDet-L | D2 |
+| `weights/d2_yolox_s.pth` | YOLOX-S | D2 |

reproducibility/checkpoint_licenses.json

@@ -0,0 +1,308 @@
+[
+  {
+    "file": "weights/d1_cascade_rcnn_seed123.pth",
+    "model": "Cascade R-CNN",
+    "dataset": "d1",
+    "license": "Apache-2.0",
+    "license_scope": "KaryoFlow contributors rights; upstream rights retained",
+    "configuration": "configs/d1/cascade_rcnn/seed_123.py",
+    "initialization": "Torchvision ResNet-50 backbone initialization"
+  },
+  {
+    "file": "weights/d1_cascade_rcnn_seed42.pth",
+    "model": "Cascade R-CNN",
+    "dataset": "d1",
+    "license": "Apache-2.0",
+    "license_scope": "KaryoFlow contributors rights; upstream rights retained",
+    "configuration": "configs/d1/cascade_rcnn/seed_42.py",
+    "initialization": "Torchvision ResNet-50 backbone initialization"
+  },
+  {
+    "file": "weights/d1_cascade_rcnn_seed789.pth",
+    "model": "Cascade R-CNN",
+    "dataset": "d1",
+    "license": "Apache-2.0",
+    "license_scope": "KaryoFlow contributors rights; upstream rights retained",
+    "configuration": "configs/d1/cascade_rcnn/seed_789.py",
+    "initialization": "Torchvision ResNet-50 backbone initialization"
+  },
+  {
+    "file": "weights/d1_diffusiondet_seed123.pth",
+    "model": "DiffusionDet",
+    "dataset": "d1",
+    "license": "Apache-2.0",
+    "license_scope": "KaryoFlow contributors rights; upstream rights retained",
+    "configuration": "configs/d1/diffusiondet/seed_123.py",
+    "initialization": "Torchvision ResNet-50 backbone initialization"
+  },
+  {
+    "file": "weights/d1_diffusiondet_seed42.pth",
+    "model": "DiffusionDet",
+    "dataset": "d1",
+    "license": "Apache-2.0",
+    "license_scope": "KaryoFlow contributors rights; upstream rights retained",
+    "configuration": "configs/d1/diffusiondet/seed_42.py",
+    "initialization": "Torchvision ResNet-50 backbone initialization"
+  },
+  {
+    "file": "weights/d1_diffusiondet_seed789.pth",
+    "model": "DiffusionDet",
+    "dataset": "d1",
+    "license": "Apache-2.0",
+    "license_scope": "KaryoFlow contributors rights; upstream rights retained",
+    "configuration": "configs/d1/diffusiondet/seed_789.py",
+    "initialization": "Torchvision ResNet-50 backbone initialization"
+  },
+  {
+    "file": "weights/d1_karyoflow_h3_seed123.pth",
+    "model": "KaryoFlow H3",
+    "dataset": "d1",
+    "license": "Apache-2.0",
+    "license_scope": "KaryoFlow contributors rights; upstream rights retained",
+    "configuration": "configs/d1/karyoflow_h3/seed_123.py",
+    "initialization": "Matched KaryoFlow teacher; Torchvision ResNet-50 backbone initialization"
+  },
+  {
+    "file": "weights/d1_karyoflow_h3_seed42.pth",
+    "model": "KaryoFlow H3",
+    "dataset": "d1",
+    "license": "Apache-2.0",
+    "license_scope": "KaryoFlow contributors rights; upstream rights retained",
+    "configuration": "configs/d1/karyoflow_h3/seed_42.py",
+    "initialization": "Matched KaryoFlow teacher; Torchvision ResNet-50 backbone initialization"
+  },
+  {
+    "file": "weights/d1_karyoflow_h3_seed789.pth",
+    "model": "KaryoFlow H3",
+    "dataset": "d1",
+    "license": "Apache-2.0",
+    "license_scope": "KaryoFlow contributors rights; upstream rights retained",
+    "configuration": "configs/d1/karyoflow_h3/seed_789.py",
+    "initialization": "Matched KaryoFlow teacher; Torchvision ResNet-50 backbone initialization"
+  },
+  {
+    "file": "weights/d1_karyoflow_lqcr_seed123.pth",
+    "model": "KaryoFlow + LQCR",
+    "dataset": "d1",
+    "license": "Apache-2.0",
+    "license_scope": "KaryoFlow contributors rights; upstream rights retained",
+    "configuration": "configs/d1/karyoflow_lqcr/seed_123.py",
+    "initialization": "Matched KaryoFlow parent; Torchvision ResNet-50 backbone initialization"
+  },
+  {
+    "file": "weights/d1_karyoflow_lqcr_seed42.pth",
+    "model": "KaryoFlow + LQCR",
+    "dataset": "d1",
+    "license": "Apache-2.0",
+    "license_scope": "KaryoFlow contributors rights; upstream rights retained",
+    "configuration": "configs/d1/karyoflow_lqcr/seed_42.py",
+    "initialization": "Matched KaryoFlow parent; Torchvision ResNet-50 backbone initialization"
+  },
+  {
+    "file": "weights/d1_karyoflow_lqcr_seed789.pth",
+    "model": "KaryoFlow + LQCR",
+    "dataset": "d1",
+    "license": "Apache-2.0",
+    "license_scope": "KaryoFlow contributors rights; upstream rights retained",
+    "configuration": "configs/d1/karyoflow_lqcr/seed_789.py",
+    "initialization": "Matched KaryoFlow parent; Torchvision ResNet-50 backbone initialization"
+  },
+  {
+    "file": "weights/d1_karyoflow_seed123.pth",
+    "model": "KaryoFlow",
+    "dataset": "d1",
+    "license": "Apache-2.0",
+    "license_scope": "KaryoFlow contributors rights; upstream rights retained",
+    "configuration": "configs/d1/karyoflow/seed_123.py",
+    "initialization": "Torchvision ResNet-50 backbone initialization"
+  },
+  {
+    "file": "weights/d1_karyoflow_seed42.pth",
+    "model": "KaryoFlow",
+    "dataset": "d1",
+    "license": "Apache-2.0",
+    "license_scope": "KaryoFlow contributors rights; upstream rights retained",
+    "configuration": "configs/d1/karyoflow/seed_42.py",
+    "initialization": "Torchvision ResNet-50 backbone initialization"
+  },
+  {
+    "file": "weights/d1_karyoflow_seed789.pth",
+    "model": "KaryoFlow",
+    "dataset": "d1",
+    "license": "Apache-2.0",
+    "license_scope": "KaryoFlow contributors rights; upstream rights retained",
+    "configuration": "configs/d1/karyoflow/seed_789.py",
+    "initialization": "Torchvision ResNet-50 backbone initialization"
+  },
+  {
+    "file": "weights/d1_rtmdet_l_seed123.pth",
+    "model": "RTMDet-L",
+    "dataset": "d1",
+    "license": "Apache-2.0",
+    "license_scope": "KaryoFlow contributors rights; upstream rights retained",
+    "configuration": "configs/d1/rtmdet_l/seed_123.py",
+    "initialization": "OpenMMLab CSPNeXt-L ImageNet pretraining"
+  },
+  {
+    "file": "weights/d1_rtmdet_l_seed42.pth",
+    "model": "RTMDet-L",
+    "dataset": "d1",
+    "license": "Apache-2.0",
+    "license_scope": "KaryoFlow contributors rights; upstream rights retained",
+    "configuration": "configs/d1/rtmdet_l/seed_42.py",
+    "initialization": "OpenMMLab CSPNeXt-L ImageNet pretraining"
+  },
+  {
+    "file": "weights/d1_rtmdet_l_seed789.pth",
+    "model": "RTMDet-L",
+    "dataset": "d1",
+    "license": "Apache-2.0",
+    "license_scope": "KaryoFlow contributors rights; upstream rights retained",
+    "configuration": "configs/d1/rtmdet_l/seed_789.py",
+    "initialization": "OpenMMLab CSPNeXt-L ImageNet pretraining"
+  },
+  {
+    "file": "weights/d1_yolox_s_seed123.pth",
+    "model": "YOLOX-S",
+    "dataset": "d1",
+    "license": "Apache-2.0",
+    "license_scope": "KaryoFlow contributors rights; upstream rights retained",
+    "configuration": "configs/d1/yolox_s/seed_123.py",
+    "initialization": "No external pretrained checkpoint specified in released configuration"
+  },
+  {
+    "file": "weights/d1_yolox_s_seed42.pth",
+    "model": "YOLOX-S",
+    "dataset": "d1",
+    "license": "Apache-2.0",
+    "license_scope": "KaryoFlow contributors rights; upstream rights retained",
+    "configuration": "configs/d1/yolox_s/seed_42.py",
+    "initialization": "No external pretrained checkpoint specified in released configuration"
+  },
+  {
+    "file": "weights/d1_yolox_s_seed789.pth",
+    "model": "YOLOX-S",
+    "dataset": "d1",
+    "license": "Apache-2.0",
+    "license_scope": "KaryoFlow contributors rights; upstream rights retained",
+    "configuration": "configs/d1/yolox_s/seed_789.py",
+    "initialization": "No external pretrained checkpoint specified in released configuration"
+  },
+  {
+    "file": "weights/d2_cascade_rcnn.pth",
+    "model": "Cascade R-CNN",
+    "dataset": "d2",
+    "license": "Apache-2.0",
+    "license_scope": "KaryoFlow contributors rights; upstream rights retained",
+    "configuration": "configs/d2/cascade_rcnn/fixed_checkpoint.py",
+    "initialization": "Torchvision ResNet-50 backbone initialization"
+  },
+  {
+    "file": "weights/d2_diffusiondet.pth",
+    "model": "DiffusionDet",
+    "dataset": "d2",
+    "license": "Apache-2.0",
+    "license_scope": "KaryoFlow contributors rights; upstream rights retained",
+    "configuration": "configs/d2/diffusiondet/fixed_checkpoint.py",
+    "initialization": "Torchvision ResNet-50 backbone initialization"
+  },
+  {
+    "file": "weights/d2_karyoflow_h3_seed123.pth",
+    "model": "KaryoFlow H3",
+    "dataset": "d2",
+    "license": "Apache-2.0",
+    "license_scope": "KaryoFlow contributors rights; upstream rights retained",
+    "configuration": "configs/d2/karyoflow_h3/seed_123.py",
+    "initialization": "Matched KaryoFlow teacher; Torchvision ResNet-50 backbone initialization"
+  },
+  {
+    "file": "weights/d2_karyoflow_h3_seed42.pth",
+    "model": "KaryoFlow H3",
+    "dataset": "d2",
+    "license": "Apache-2.0",
+    "license_scope": "KaryoFlow contributors rights; upstream rights retained",
+    "configuration": "configs/d2/karyoflow_h3/seed_42.py",
+    "initialization": "Matched KaryoFlow teacher; Torchvision ResNet-50 backbone initialization"
+  },
+  {
+    "file": "weights/d2_karyoflow_h3_seed789.pth",
+    "model": "KaryoFlow H3",
+    "dataset": "d2",
+    "license": "Apache-2.0",
+    "license_scope": "KaryoFlow contributors rights; upstream rights retained",
+    "configuration": "configs/d2/karyoflow_h3/seed_789.py",
+    "initialization": "Matched KaryoFlow teacher; Torchvision ResNet-50 backbone initialization"
+  },
+  {
+    "file": "weights/d2_karyoflow_lqcr_seed123.pth",
+    "model": "KaryoFlow + LQCR",
+    "dataset": "d2",
+    "license": "Apache-2.0",
+    "license_scope": "KaryoFlow contributors rights; upstream rights retained",
+    "configuration": "configs/d2/karyoflow_lqcr/seed_123.py",
+    "initialization": "Matched KaryoFlow parent; Torchvision ResNet-50 backbone initialization"
+  },
+  {
+    "file": "weights/d2_karyoflow_lqcr_seed42.pth",
+    "model": "KaryoFlow + LQCR",
+    "dataset": "d2",
+    "license": "Apache-2.0",
+    "license_scope": "KaryoFlow contributors rights; upstream rights retained",
+    "configuration": "configs/d2/karyoflow_lqcr/seed_42.py",
+    "initialization": "Matched KaryoFlow parent; Torchvision ResNet-50 backbone initialization"
+  },
+  {
+    "file": "weights/d2_karyoflow_lqcr_seed789.pth",
+    "model": "KaryoFlow + LQCR",
+    "dataset": "d2",
+    "license": "Apache-2.0",
+    "license_scope": "KaryoFlow contributors rights; upstream rights retained",
+    "configuration": "configs/d2/karyoflow_lqcr/seed_789.py",
+    "initialization": "Matched KaryoFlow parent; Torchvision ResNet-50 backbone initialization"
+  },
+  {
+    "file": "weights/d2_karyoflow_seed123.pth",
+    "model": "KaryoFlow",
+    "dataset": "d2",
+    "license": "Apache-2.0",
+    "license_scope": "KaryoFlow contributors rights; upstream rights retained",
+    "configuration": "configs/d2/karyoflow/seed_123.py",
+    "initialization": "Torchvision ResNet-50 backbone initialization"
+  },
+  {
+    "file": "weights/d2_karyoflow_seed42.pth",
+    "model": "KaryoFlow",
+    "dataset": "d2",
+    "license": "Apache-2.0",
+    "license_scope": "KaryoFlow contributors rights; upstream rights retained",
+    "configuration": "configs/d2/karyoflow/seed_42.py",
+    "initialization": "Torchvision ResNet-50 backbone initialization"
+  },
+  {
+    "file": "weights/d2_karyoflow_seed789.pth",
+    "model": "KaryoFlow",
+    "dataset": "d2",
+    "license": "Apache-2.0",
+    "license_scope": "KaryoFlow contributors rights; upstream rights retained",
+    "configuration": "configs/d2/karyoflow/seed_789.py",
+    "initialization": "Torchvision ResNet-50 backbone initialization"
+  },
+  {
+    "file": "weights/d2_rtmdet_l.pth",
+    "model": "RTMDet-L",
+    "dataset": "d2",
+    "license": "Apache-2.0",
+    "license_scope": "KaryoFlow contributors rights; upstream rights retained",
+    "configuration": "configs/d2/rtmdet_l/fixed_checkpoint.py",
+    "initialization": "OpenMMLab CSPNeXt-L ImageNet pretraining"
+  },
+  {
+    "file": "weights/d2_yolox_s.pth",
+    "model": "YOLOX-S",
+    "dataset": "d2",
+    "license": "Apache-2.0",
+    "license_scope": "KaryoFlow contributors rights; upstream rights retained",
+    "configuration": "configs/d2/yolox_s/fixed_checkpoint.py",
+    "initialization": "No external pretrained checkpoint specified in released configuration"
+  }
+]

reproducibility/weights.md

@@ -0,0 +1,45 @@
+# Model weights
+
+Download checkpoints from [KaryoFlow on Hugging Face](https://huggingface.co/procaffenator/KaryoFlow). The files are provided individually; no archive extraction is needed. Place them under `weights/` in the code repository.
+
+## Checkpoint downloads
+
+The seed labels below refer to training seeds. Dataset 2 comparison detectors use one trained checkpoint per model, evaluated with three inference seeds.
+
+| Model | Dataset 1 | Dataset 2 |
+| --- | --- | --- |
+| KaryoFlow | [Seed 42](https://huggingface.co/procaffenator/KaryoFlow/resolve/main/weights/d1_karyoflow_seed42.pth?download=true) · [Seed 123](https://huggingface.co/procaffenator/KaryoFlow/resolve/main/weights/d1_karyoflow_seed123.pth?download=true) · [Seed 789](https://huggingface.co/procaffenator/KaryoFlow/resolve/main/weights/d1_karyoflow_seed789.pth?download=true) | [Seed 42](https://huggingface.co/procaffenator/KaryoFlow/resolve/main/weights/d2_karyoflow_seed42.pth?download=true) · [Seed 123](https://huggingface.co/procaffenator/KaryoFlow/resolve/main/weights/d2_karyoflow_seed123.pth?download=true) · [Seed 789](https://huggingface.co/procaffenator/KaryoFlow/resolve/main/weights/d2_karyoflow_seed789.pth?download=true) |
+| KaryoFlow + LQCR | [Seed 42](https://huggingface.co/procaffenator/KaryoFlow/resolve/main/weights/d1_karyoflow_lqcr_seed42.pth?download=true) · [Seed 123](https://huggingface.co/procaffenator/KaryoFlow/resolve/main/weights/d1_karyoflow_lqcr_seed123.pth?download=true) · [Seed 789](https://huggingface.co/procaffenator/KaryoFlow/resolve/main/weights/d1_karyoflow_lqcr_seed789.pth?download=true) | [Seed 42](https://huggingface.co/procaffenator/KaryoFlow/resolve/main/weights/d2_karyoflow_lqcr_seed42.pth?download=true) · [Seed 123](https://huggingface.co/procaffenator/KaryoFlow/resolve/main/weights/d2_karyoflow_lqcr_seed123.pth?download=true) · [Seed 789](https://huggingface.co/procaffenator/KaryoFlow/resolve/main/weights/d2_karyoflow_lqcr_seed789.pth?download=true) |
+| KaryoFlow H3 | [Seed 42](https://huggingface.co/procaffenator/KaryoFlow/resolve/main/weights/d1_karyoflow_h3_seed42.pth?download=true) · [Seed 123](https://huggingface.co/procaffenator/KaryoFlow/resolve/main/weights/d1_karyoflow_h3_seed123.pth?download=true) · [Seed 789](https://huggingface.co/procaffenator/KaryoFlow/resolve/main/weights/d1_karyoflow_h3_seed789.pth?download=true) | [Seed 42](https://huggingface.co/procaffenator/KaryoFlow/resolve/main/weights/d2_karyoflow_h3_seed42.pth?download=true) · [Seed 123](https://huggingface.co/procaffenator/KaryoFlow/resolve/main/weights/d2_karyoflow_h3_seed123.pth?download=true) · [Seed 789](https://huggingface.co/procaffenator/KaryoFlow/resolve/main/weights/d2_karyoflow_h3_seed789.pth?download=true) |
+| Cascade R-CNN | [Seed 42](https://huggingface.co/procaffenator/KaryoFlow/resolve/main/weights/d1_cascade_rcnn_seed42.pth?download=true) · [Seed 123](https://huggingface.co/procaffenator/KaryoFlow/resolve/main/weights/d1_cascade_rcnn_seed123.pth?download=true) · [Seed 789](https://huggingface.co/procaffenator/KaryoFlow/resolve/main/weights/d1_cascade_rcnn_seed789.pth?download=true) | [Checkpoint](https://huggingface.co/procaffenator/KaryoFlow/resolve/main/weights/d2_cascade_rcnn.pth?download=true) |
+| DiffusionDet | [Seed 42](https://huggingface.co/procaffenator/KaryoFlow/resolve/main/weights/d1_diffusiondet_seed42.pth?download=true) · [Seed 123](https://huggingface.co/procaffenator/KaryoFlow/resolve/main/weights/d1_diffusiondet_seed123.pth?download=true) · [Seed 789](https://huggingface.co/procaffenator/KaryoFlow/resolve/main/weights/d1_diffusiondet_seed789.pth?download=true) | [Checkpoint](https://huggingface.co/procaffenator/KaryoFlow/resolve/main/weights/d2_diffusiondet.pth?download=true) |
+| RTMDet-L | [Seed 42](https://huggingface.co/procaffenator/KaryoFlow/resolve/main/weights/d1_rtmdet_l_seed42.pth?download=true) · [Seed 123](https://huggingface.co/procaffenator/KaryoFlow/resolve/main/weights/d1_rtmdet_l_seed123.pth?download=true) · [Seed 789](https://huggingface.co/procaffenator/KaryoFlow/resolve/main/weights/d1_rtmdet_l_seed789.pth?download=true) | [Checkpoint](https://huggingface.co/procaffenator/KaryoFlow/resolve/main/weights/d2_rtmdet_l.pth?download=true) |
+| YOLOX-S | [Seed 42](https://huggingface.co/procaffenator/KaryoFlow/resolve/main/weights/d1_yolox_s_seed42.pth?download=true) · [Seed 123](https://huggingface.co/procaffenator/KaryoFlow/resolve/main/weights/d1_yolox_s_seed123.pth?download=true) · [Seed 789](https://huggingface.co/procaffenator/KaryoFlow/resolve/main/weights/d1_yolox_s_seed789.pth?download=true) | [Checkpoint](https://huggingface.co/procaffenator/KaryoFlow/resolve/main/weights/d2_yolox_s.pth?download=true) |
+
+Euler and Heun reuse the corresponding KaryoFlow checkpoints. H3 files contain student parameters only. The [configuration and result index](models.json) maps all 54 recorded evaluations to 34 distinct checkpoint files.
+
+## Download from the command line
+
+Run from the code repository root:
+
+```bash
+hf download procaffenator/KaryoFlow \
+  weights/d2_karyoflow_lqcr_seed42.pth --local-dir .
+```
+
+Download all checkpoints:
+
+```bash
+hf download procaffenator/KaryoFlow --include "weights/*.pth" --local-dir .
+python tools/check_release.py --weights
+```
+
+For one-model evaluation, only its selected checkpoint is needed. Reproducing a three-training-run mean requires the three corresponding checkpoints.
+
+## Data and license scope
+
+Dataset 1 images are not distributed; its checkpoints do not provide access to the cohort. Dataset 2 must be obtained from its original source as described in [data preparation](data.md).
+
+The contributors’ rights in these checkpoints are licensed under [Apache-2.0](../LICENSE). See [Checkpoint licensing](../WEIGHTS_LICENSE.md) for the covered files and retained upstream rights, and [License scope](../LICENSE_SCOPE.md) for code and data terms.
+
+The checkpoint file sizes include buffers and serialization overhead. They differ from the FP32 parameter-payload sizes reported in the paper.

weights/LICENSE

@@ -0,0 +1,202 @@
+
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