Record exact runtime versions, validation scope and source mapping evidence

README.md

@@ -57,3 +57,5 @@ Run `python validate.py` and `python validate_refiner.py` after installing requi
 CPU uses the preserved Qwen2.5-VL window-attention implementation because newer transformers removed the original get_window_index entry point. FlashAttention calls have a segment-preserving PyTorch fallback; native data layout, attention boundaries and weights remain explicit. The input visual model retains BF16 weights and F32 codebooks; base decoder/VAE are cast to F32 at runtime on CPU.
 
 Sources: [official weights](https://huggingface.co/meituan-longcat/LongCat-Next), [official code](https://github.com/meituan-longcat/LongCat-Next), [paper](https://arxiv.org/abs/2603.27538). Source revisions, modifications, separate MIT/Apache notices and exact extraction records accompany the release.
+
+The combined CPU `refine_codes` integration smoke run was stopped on the test host because of memory/swap pressure while the encoder and full refiner were resident together. No end-to-end pipeline pass is claimed. Base-codec and complete refiner component tests above passed independently.

refiner_validation.json

@@ -58,5 +58,15 @@
   "limitations": [
     "Tiny-latent native flow forward and one Euler update, not full-resolution image refinement or perceptual-quality evaluation.",
     "No LongCat language/audio backbone."
-  ]
+  ],
+  "runtime_versions": {
+    "torch": "2.14.1",
+    "torchvision": "0.29.1",
+    "transformers": "5.20.1",
+    "diffusers": "0.41.0",
+    "safetensors": "0.8.0",
+    "accelerate": "1.15.0",
+    "numpy": "2.5.4",
+    "einops": "0.8.2"
+  }
 }

release_manifest.json

@@ -38,16 +38,16 @@
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     },
     "README.md": {
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-      "sha256": "7802f4699325ff17b9641f3173231247c306eb6a897ebcd826b80c2942ad8fde"
+      "size": 5069,
+      "sha256": "178fb3fbe539da3f3f5bdcabf1d232894cf66c6798676dc207723f5daf567cfb"
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     "validate.py": {
       "size": 3484,
       "sha256": "cf9653df1d32f020005f8ae55adf201f72e4f9937357e4f2199fe980b61c92f4"
     },
     "validation.json": {
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-      "sha256": "770479dc8fe793cceb169f4dbfa177f9705a49391c3d56d408b2daad83aaa620"
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+      "sha256": "b59767f6bf3cf8017a05cc774d2f995a8bb3dbca6e5eb208b3211fbb331a96c6"
     },
     "validate_refiner.py": {
       "size": 4033,
@@ -62,8 +62,8 @@
       "sha256": "292040d955cbfe43278d4c2a06cc65c5401cab4ee1b07c230f1ea4087fa5d667"
     },
     "refiner_validation.json": {
-      "size": 1282,
-      "sha256": "292b17aba5242257005d1bcb0963c61d15e3619ae6f00f116e36b8f8cbc07561"
+      "size": 1520,
+      "sha256": "901cd944d79b25be6b583fa2c0b8ead80daf39a449508e2e1842edcbbcbafea3"
     },
     "source_config.json": {
       "size": 6908,

validation.json

@@ -160,7 +160,18 @@
   "limitations": [
     "No full LongCat text/audio backbone or VQA/T2I benchmark.",
     "CPU compatibility uses a vendored Qwen2.5-VL window-attention implementation and preserves native decoder behavior.",
-    "Full flow-refiner weights and tiny-latent conditioned forward are validated separately; no full-resolution quality benchmark."
+    "Full flow-refiner weights and tiny-latent conditioned forward are validated separately; no full-resolution quality benchmark.",
+    "Combined encoder+full-refiner CPU integration run was stopped due to host memory/swap pressure; no full-pipeline pass is claimed."
   ],
-  "full_flow_refiner_validation": "refiner_validation.json"
+  "full_flow_refiner_validation": "refiner_validation.json",
+  "runtime_versions": {
+    "torch": "2.14.1",
+    "torchvision": "0.29.1",
+    "transformers": "5.20.1",
+    "diffusers": "0.41.0",
+    "safetensors": "0.8.0",
+    "accelerate": "1.15.0",
+    "numpy": "2.5.4",
+    "einops": "0.8.2"
+  }
 }