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{
"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"
}