Update logbook: Reproduction: Accelerating Regression Tasks with Quantum Algorithms

logbook.json

@@ -8,7 +8,7 @@
     "icml2026-repro",
     "paper-TBSyYj4VV6"
   ],
-  "updated_at": "2026-08-03T04:44:13+00:00",
+  "updated_at": "2026-08-03T04:44:49+00:00",
   "root": {
     "slug": "index",
     "title": "Reproduction: Accelerating Regression Tasks with Quantum Algorithms",
@@ -71,10 +71,10 @@
     "total_size": 0,
     "bucket_id": null
   },
-  "agent_view_tokens": 5721,
-  "trace_view_tokens": 20474,
+  "agent_view_tokens": 5889,
+  "trace_view_tokens": 20862,
   "workspace_view_tokens": 29,
-  "revision": "0ed4f28882b4d25475fc",
+  "revision": "0fb07c7a2d77cd09d22b",
   "traces_ref": {
     "repo_id": "GAMI000/repro-accelerating-regression-tasks-with-quantum-algorithms-traces",
     "repo_type": "dataset",

pages/conclusion/page.md

@@ -31,3 +31,10 @@ The paper's central algorithm is **falsified as printed** by a one-row counterex
 This is a theory-paper reproduction: a deterministic algebraic/numerical audit, not a proof replacement or a gate-level implementation. No GPU was useful, so no Hugging Face Job or Modal run was launched; total local compute for the substantive script was 0.2 s on CPU and billed cost was $0. The audit used the [HF paper record](https://huggingface.co/papers/2509.24757), [arXiv source](https://arxiv.org/abs/2509.24757), [OpenReview forum](https://openreview.net/forum?id=TBSyYj4VV6), [challenge dataset](https://huggingface.co/datasets/ICML-2026-agent-repro/challenge), and [challenge Space](https://huggingface.co/spaces/ICML-2026-agent-repro/challenge). OpenReview's API/PDF endpoint returned a browser-challenge 403 in this environment, so the machine-readable audit uses the public arXiv source corresponding to the paper record. Exact-title and author-site searches found no official implementation.
 
 The published complexities assume quantum query access to sparse rows, nonzero indices, losses, and QRAM; preprocessing raw data into those oracles is not measured. A minimal repair to the headline theorem appears possible—estimate (\nu) to (O(\epsilon)) and remove the fixed 1.1 from the returned weights—but a new proof must also handle the (s_{\min}=0) boundary and all downstream corollaries. Lasso separately needs (\lambda I_n) for the absolute-loss rows and (\lambda\) restored on the right side of Corollary 26.
+
+
+---
+<!-- trackio-cell
+{"type": "markdown", "id": "cell_f9af9cda2352", "created_at": "2026-08-03T04:44:42+00:00", "title": "Published resources"}
+-->
+Published logbook: [Hugging Face Space](https://huggingface.co/spaces/GAMI000/repro-accelerating-regression-tasks-with-quantum-algorithms). Execution provenance: [private trace Dataset](https://huggingface.co/datasets/GAMI000/repro-accelerating-regression-tasks-with-quantum-algorithms-traces). Audit tables: [private artifacts Bucket](https://huggingface.co/buckets/GAMI000/repro-accelerating-regression-tasks-with-quantum-algorithms-artifacts). No Hub model or Job was used.

workspace.json

@@ -23,6 +23,16 @@
       "url": "https://huggingface.co/buckets/GAMI000/repro-accelerating-regression-tasks-with-quantum-algorithms-artifacts#logbook-files/results/complexity_phase.csv",
       "type": "Buckets",
       "label": "GAMI000/repro-accelerating-regression-tasks-with-quantum-algorithms-artifacts"
+    },
+    {
+      "url": "https://huggingface.co/spaces/GAMI000/repro-accelerating-regression-tasks-with-quantum-algorithms",
+      "type": "Spaces",
+      "label": "GAMI000/repro-accelerating-regression-tasks-with-quantum-algorithms"
+    },
+    {
+      "url": "https://huggingface.co/datasets/GAMI000/repro-accelerating-regression-tasks-with-quantum-algorithms-traces",
+      "type": "Datasets",
+      "label": "GAMI000/repro-accelerating-regression-tasks-with-quantum-algorithms-traces"
     }
   ],
   "reference_only": true