{ "schema_version": 1, "title": "Repro - Learning Permutation from Structure Without Supervision", "emoji": "🎯", "space_id": "SteveaWong/repro-learning-permutation-structure", "paper": { "arxiv_id": "2605.25551" }, "tags": [ "icml2026-repro", "paper-H8ozFYOmk8" ], "updated_at": "2026-07-17T03:08:54+00:00", "root": { "slug": "index", "title": "Repro - Learning Permutation from Structure Without Supervision", "file": "pages/index.md", "children": [ { "slug": "claim-1-entropy-adaptive-gumbel-sinkhorn-algorithm", "title": "Claim 1: Entropy-adaptive Gumbel-Sinkhorn algorithm", "file": "pages/claim-1-entropy-adaptive-gumbel-sinkhorn-algorithm/page.md", "children": [] }, { "slug": "claim-2-proposition-1-uniform-temperature-trade-off", "title": "Claim 2: Proposition 1 - uniform-temperature trade-off", "file": "pages/claim-2-proposition-1-uniform-temperature-trade-off/page.md", "children": [] }, { "slug": "claim-3-sorting-experiments-with-high-ambiguity-ranges", "title": "Claim 3: Sorting experiments with high-ambiguity ranges", "file": "pages/claim-3-sorting-experiments-with-high-ambiguity-ranges/page.md", "children": [] }, { "slug": "claim-4-celeba-jigsaw-reconstruction", "title": "Claim 4: CelebA jigsaw reconstruction", "file": "pages/claim-4-celeba-jigsaw-reconstruction/page.md", "children": [] }, { "slug": "claim-5-tsp-experiments-with-dv-ta", "title": "Claim 5: TSP experiments with DV-TA", "file": "pages/claim-5-tsp-experiments-with-dv-ta/page.md", "children": [] }, { "slug": "claim-6-figure-2-and-appendix-k-sensitivity-analysis", "title": "Claim 6: Figure 2 and Appendix K sensitivity analysis", "file": "pages/claim-6-figure-2-and-appendix-k-sensitivity-analysis/page.md", "children": [] }, { "slug": "conclusion", "title": "Conclusion", "file": "pages/conclusion/page.md", "children": [] } ] }, "agent_view_tokens": 3415, "revision": "1784257734291479000" }