{ "schema_version": 2, "title": "Reproduction: A Capacity-Based Rationale for Multi-Head Attention", "emoji": "🎯", "space_id": "vimarsh/repro-a-capacity-based-rationale-for-multi-head-attention", "paper": { "arxiv_id": "2509.22840", "openreview_id": "rIbK1X14la", "title": "A Capacity-Based Rationale for Multi-Head Attention", "author": "Micah Adler" }, "tags": [ "icml2026-repro", "paper-rIbK1X14la" ], "updated_at": "2026-07-22T08:39:25+00:00", "root": { "slug": "index", "title": "Reproduction: A Capacity-Based Rationale for Multi-Head Attention", "file": "pages/index.md", "children": [ { "slug": "executive-summary", "title": "Executive summary", "file": "pages/executive-summary/page.md", "children": [] }, { "slug": "claim-1-capacity-law-d-k-theta-m-log-m-2-m-d-model", "title": "Claim 1: Capacity law D_K = Theta(m' log(m^2/m') / d_model)", "file": "pages/claim-1-capacity-law-d-k-theta-m-log-m-2-m-d-model/page.md", "children": [] }, { "slug": "claim-2-permutation-graphs-d-k-theta-m-log-m-d-model", "title": "Claim 2: Permutation graphs D_K = Theta(m log m / d_model)", "file": "pages/claim-2-permutation-graphs-d-k-theta-m-log-m-d-model/page.md", "children": [] }, { "slug": "claim-3-multi-head-advantage-via-block-size-noise-n3-b", "title": "Claim 3: Multi-head advantage via block-size / noise N3(B)", "file": "pages/claim-3-multi-head-advantage-via-block-size-noise-n3-b/page.md", "children": [] }, { "slug": "claim-4-empirical-scaling-d-k-1-19-m-log-m-d-model", "title": "Claim 4: Empirical scaling D_K* ~ 1.19 m log m/d_model", "file": "pages/claim-4-empirical-scaling-d-k-1-19-m-log-m-d-model/page.md", "children": [] }, { "slug": "claim-5-advantage-persists-with-softmax-value-routing-gpt-2", "title": "Claim 5: Advantage persists with softmax, value routing, GPT-2", "file": "pages/claim-5-advantage-persists-with-softmax-value-routing-gpt-2/page.md", "children": [] }, { "slug": "claim-6-insensitivity-to-context-length", "title": "Claim 6: Insensitivity to context length", "file": "pages/claim-6-insensitivity-to-context-length/page.md", "children": [] }, { "slug": "conclusion", "title": "Conclusion", "file": "pages/conclusion/page.md", "children": [] } ] }, "traces": [], "workspace": { "file": "workspace.json", "file_count": 0, "total_size": 0, "bucket_id": null }, "agent_view_tokens": 6874, "trace_view_tokens": 42060, "workspace_view_tokens": 27, "revision": "e9b4d3a13cbd53762eca", "traces_ref": { "repo_id": "vimarsh/repro-a-capacity-based-rationale-for-multi-head-attention-traces", "repo_type": "dataset", "repo_url": "https://huggingface.co/datasets/vimarsh/repro-a-capacity-based-rationale-for-multi-head-attention-traces", "private": true }, "trace_dataset": "https://huggingface.co/datasets/vimarsh/repro-a-capacity-based-rationale-for-multi-head-attention-traces", "workspace_ref": { "repo_id": "vimarsh/repro-a-capacity-based-rationale-for-multi-head-attention-artifacts", "repo_type": "bucket", "repo_url": "https://huggingface.co/buckets/vimarsh/repro-a-capacity-based-rationale-for-multi-head-attention-artifacts", "private": true }, "workspace_bucket": "https://huggingface.co/buckets/vimarsh/repro-a-capacity-based-rationale-for-multi-head-attention-artifacts" }