Archive v2-reproduction-20260922 live-publication

confidence-v2/v2-reproduction-20260922/live-publication-dispatch-v1.json

@@ -0,0 +1,9 @@
+{
+  "app_id": "ap-ylQX6YtuTxxxSvJL7czky1",
+  "call_id": "fc-01M356RQSXQ8YXM6HDQ28WHK6M",
+  "campaign": "v2-reproduction-20260922",
+  "training_calls": {
+    "esmfold2_300": "fc-01M355PT7GRT5MFYV631VXDQSH",
+    "esmfold2_600": "fc-01M355PTA7AS44350K5CPT7WZB"
+  }
+}

confidence-v2/v2-reproduction-20260922/live-publication-dispatch.json

@@ -1,6 +1,6 @@
 {
-  "app_id": "ap-ylQX6YtuTxxxSvJL7czky1",
-  "call_id": "fc-01M356RQSXQ8YXM6HDQ28WHK6M",
+  "app_id": "ap-q5y9ATYHMaTpJVS1nsVU7F",
+  "call_id": "fc-01M35752MZS6CRN05N6HBMTEFS",
   "campaign": "v2-reproduction-20260922",
   "training_calls": {
     "esmfold2_300": "fc-01M355PT7GRT5MFYV631VXDQSH",

confidence-v2/v2-reproduction-20260922/live-publication-verification.json

@@ -1,4 +1,4 @@
 {
   "returncode": 0,
-  "output": "........................................................................ [ 73%]\n..........................                                               [100%]\n=============================== warnings summary ===============================\ntests/unit/test_confidence_online_training.py::test_per_sample_ranking_terms_sum_to_the_joint_pairwise_gradient\n  /workspace/tests/unit/test_confidence_online_training.py:92: UserWarning: Converting a tensor with requires_grad=True to a scalar may lead to unexpected behavior.\n  Consider using tensor.detach() first. (Triggered internally at /__w/pytorch/pytorch/torch/csrc/autograd/generated/python_variable_methods.cpp:822.)\n    assert summed == pytest.approx(2 * float(joint))\n\n-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html\n98 passed, 1 warning in 12.80s\n"
+  "output": "........................................................................ [ 67%]\n..................................                                       [100%]\n=============================== warnings summary ===============================\ntests/unit/test_confidence_online_training.py::test_per_sample_ranking_terms_sum_to_the_joint_pairwise_gradient\n  /workspace/tests/unit/test_confidence_online_training.py:92: UserWarning: Converting a tensor with requires_grad=True to a scalar may lead to unexpected behavior.\n  Consider using tensor.detach() first. (Triggered internally at /__w/pytorch/pytorch/torch/csrc/autograd/generated/python_variable_methods.cpp:822.)\n    assert summed == pytest.approx(2 * float(joint))\n\n-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html\n106 passed, 1 warning in 19.25s\n"
 }