| { |
| "schema_version": 1, |
| "title": "Reproduction: Rotary Position Encodings for Graphs", |
| "emoji": "\ud83c\udfaf", |
| "space_id": "ProCreations/repro-formal-problem-solving", |
| "paper": { |
| "arxiv_id": "2509.22259", |
| "openreview_id": "trn64znfNx" |
| }, |
| "tags": [ |
| "icml2026-repro", |
| "paper-trn64znfNx" |
| ], |
| "updated_at": "2026-08-02T00:48:38+00:00", |
| "root": { |
| "slug": "index", |
| "title": "Reproduction: Rotary Position Encodings for Graphs", |
| "file": "pages/index.md", |
| "children": [ |
| { |
| "slug": "executive-summary", |
| "title": "Executive summary", |
| "file": "pages/executive-summary/page.md", |
| "children": [] |
| }, |
| { |
| "slug": "claim-0-current-anchored-claim-map", |
| "title": "Claim 0: Current anchored-claim evidence map", |
| "file": "pages/claim-0-current-anchored-claim-map/page.md", |
| "children": [] |
| }, |
| { |
| "slug": "claim-1-wave-induced-rotary-encodings-wire-rotate-tokens-based-on-the-graph-laplacian-spectrum-to-inject-structural-information-into-attention", |
| "title": "Claim 1: Wave-Induced Rotary Encodings (WIRE) rotate tokens based on the graph Laplacian spectrum to inject structural information into attention.", |
| "file": "pages/claim-1-wave-induced-rotary-encodings-wire-rotate-tokens-based-on-the-graph-laplacian-spectrum-to-inject-structural-information-into-attention/page.md", |
| "children": [] |
| }, |
| { |
| "slug": "claim-2-wire-recovers-regular-rope-on-grids-and-depends-asymptotically-on-the-graph-effective-resistance", |
| "title": "Claim 2: WIRE recovers regular RoPE on grids and depends asymptotically on the graph effective resistance.", |
| "file": "pages/claim-2-wire-recovers-regular-rope-on-grids-and-depends-asymptotically-on-the-graph-effective-resistance/page.md", |
| "children": [] |
| }, |
| { |
| "slug": "claim-3-wire-is-compatible-with-linear-attention-unlike-bias-based-relative-position-encodings", |
| "title": "Claim 3: WIRE is compatible with linear attention, unlike bias-based relative position encodings.", |
| "file": "pages/claim-3-wire-is-compatible-with-linear-attention-unlike-bias-based-relative-position-encodings/page.md", |
| "children": [] |
| }, |
| { |
| "slug": "claim-5-experimental-benchmark-improvements", |
| "title": "Claim 5: Experiments report WIRE improvements on synthetic monochromatic-subgraph and shortest-path tasks, point-cloud transformers, and efficient graph transformer benchmarks (Table 1, Table 2, Table 3, Table 4).", |
| "file": "pages/claim-5-experimental-benchmark-improvements/page.md", |
| "children": [] |
| }, |
| { |
| "slug": "conclusion", |
| "title": "Conclusion", |
| "file": "pages/conclusion/page.md", |
| "children": [] |
| } |
| ] |
| }, |
| "agent_view_tokens": 8000, |
| "revision": "1784412310123238000" |
| } |
|
|
