Update logbook: Reproduction: A Fully First-Order Layer for Differentiable Optimization

logbook.json

@@ -13,7 +13,7 @@
     "icml2026-repro",
     "paper-jJur8Fq7IK"
   ],
-  "updated_at": "2026-07-29T14:53:43+00:00",
+  "updated_at": "2026-07-29T14:54:14+00:00",
   "root": {
     "slug": "index",
     "title": "Reproduction: A Fully First-Order Layer for Differentiable Optimization",
@@ -76,10 +76,10 @@
     "total_size": 0,
     "bucket_id": null
   },
-  "agent_view_tokens": 8796,
+  "agent_view_tokens": 8981,
   "trace_view_tokens": 10,
   "workspace_view_tokens": 130,
-  "revision": "4e694c373063584a96b5",
+  "revision": "98a156241d1f1e293f4c",
   "workspace_ref": {
     "repo_id": "SabaPivot/repro-a-fully-first-order-layer-for-differentiable-optimization-artifacts",
     "repo_type": "bucket",

pages/conclusion/page.md

@@ -28,3 +28,10 @@ Reproducibility notes:
 - The poster was built with [posterly commit e503c39](https://github.com/gradio-app/posterly/tree/e503c399b5427ca6cb712ccb080a758e9c19cf23), passed preflight, style, provenance, measure, and strict-polish gates with zero warnings, and passed a one-page 60×36 inch PDF check. The final Poppler-compatible metadata check used a directory-local PyMuPDF adapter because system pdfinfo was unavailable.
 
 **Cost:** billed accelerator/service cost was $0. Local electricity was not metered. The empirical non-reproduction of the speed advantage is specific to these smaller CPU settings and does not falsify the larger paper result; it leaves that part unverified.
+
+
+---
+<!-- trackio-cell
+{"type": "markdown", "id": "cell_4c6dd871fe22", "created_at": "2026-07-29T14:54:03+00:00", "title": "Published Hub resources"}
+-->
+Published logbook: [SabaPivot/repro-a-fully-first-order-layer-for-differentiable-optimization](https://huggingface.co/spaces/SabaPivot/repro-a-fully-first-order-layer-for-differentiable-optimization). Raw CSV artifacts and workspace references are stored in the private [artifacts Bucket](https://huggingface.co/buckets/SabaPivot/repro-a-fully-first-order-layer-for-differentiable-optimization-artifacts). No model, dataset, or Job repository was created by this reproduction; the challenge dataset and Space are linked above.

workspace.json

@@ -18,6 +18,11 @@
       "url": "https://huggingface.co/buckets/SabaPivot/repro-a-fully-first-order-layer-for-differentiable-optimization-artifacts#logbook-files/results/finite_difference_error.csv",
       "type": "Buckets",
       "label": "SabaPivot/repro-a-fully-first-order-layer-for-differentiable-optimization-artifacts"
+    },
+    {
+      "url": "https://huggingface.co/spaces/SabaPivot/repro-a-fully-first-order-layer-for-differentiable-optimization",
+      "type": "Spaces",
+      "label": "SabaPivot/repro-a-fully-first-order-layer-for-differentiable-optimization"
     }
   ],
   "reference_only": true