Release paper-frozen CF-SupportNet checkpoints

README.md

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----
-license: mit
----
+---
+license: mit
+library_name: pytorch
+tags:
+  - digital-twins
+  - scene-graphs
+  - robotics
+  - computer-vision
+  - graph-neural-network
+---
+
+# CF-SupportNet
+
+CF-SupportNet is the learned edge-scoring component of **MedPhyGraph**
+(ECCV 2026 TwinWorld Workshop). It is NOT the full MedPhyGraph
+framework by itself: MedPhyGraph also applies deterministic State
+Consistency and Union-Based Transition-Aware Consistency (non-learned,
+code-only) on top of these scores to produce the final maintained
+support graph. See the paper and code at
+https://medphygraph.github.io/ for the complete pipeline.
+
+## Files
+
+- `health_dyphygraph_r1.0_seed0.pt` — primary checkpoint used for all
+  headline paper results (rho=1.0, seed 0)
+- `health_dyphygraph_r1.0_seed{1-4}.pt` — used only for the paper's
+  multi-seed reproducibility audit; not intended as alternative
+  production checkpoints
+
+## Architecture
+
+One-layer GRU (hidden width 64), fusion MLP, 25,409 trainable
+parameters. Full training details in the paper, Section 3.4.
+
+## Citation
+
+```bibtex
+@inproceedings{gholizadeh2026medphygraph,
+  title={MedPhyGraph: Counterfactual Support-Graph Maintenance for Dynamic Built-Environment Digital Twins},
+  author={Gholizadeh HamlAbadi, Kamran and Vahdati, Monica and El Saddik, Abdulmotaleb},
+  booktitle={ECCV 2026 TwinWorld Workshop},
+  year={2026}
+}
+```

SHA256SUMS.txt

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+69ecb08422774a5e8b9c08eb457be142e7a4eee7202047dd57c0dd47dc5f88ab  health_dyphygraph_r1.0_seed1.pt
+07ad8dbf145ffd7f3ca93a0e18d057029ab31cab43104795854e36a09ec3e2fb  health_dyphygraph_r1.0_seed2.pt
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+4ad5edca29d72b9f5a6d0eed1ed92c798077deb1bf81d563f6dbb5ed7b05c291  health_dyphygraph_r1.0_seed4.pt

checkpoint_manifest.json

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+[
+  {
+    "filename": "health_dyphygraph_r1.0_seed0.pt",
+    "seed": 0,
+    "role": "primary",
+    "sha256": "e0b34529745399ecc5da5341ed7a162173611e12c8bd50dec121b0c575c5b789",
+    "parameter_count": 25409,
+    "rho": 1.0
+  },
+  {
+    "filename": "health_dyphygraph_r1.0_seed1.pt",
+    "seed": 1,
+    "role": "multi-seed-audit",
+    "sha256": "69ecb08422774a5e8b9c08eb457be142e7a4eee7202047dd57c0dd47dc5f88ab",
+    "parameter_count": 25409,
+    "rho": 1.0
+  },
+  {
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+    "seed": 2,
+    "role": "multi-seed-audit",
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+    "parameter_count": 25409,
+    "rho": 1.0
+  },
+  {
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+    "seed": 3,
+    "role": "multi-seed-audit",
+    "sha256": "97e827c9330d50e1d4079d7c7f68151dbb24a0e37ed9165a737f6da6bcd82630",
+    "parameter_count": 25409,
+    "rho": 1.0
+  },
+  {
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+    "seed": 4,
+    "role": "multi-seed-audit",
+    "sha256": "4ad5edca29d72b9f5a6d0eed1ed92c798077deb1bf81d563f6dbb5ed7b05c291",
+    "parameter_count": 25409,
+    "rho": 1.0
+  }
+]

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