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"schema_version": 1,
"title": "Reproduction: Routing by Reaching: Composition of Pre-trained GFlowNets for Multi-Objective Generation",
"emoji": "🎯",
"space_id": "DineshAI/qbe18sZPWS",
"paper": "arXiv:2602.21565",
"tags": [
"icml2026-repro",
"paper-qbe18sZPWS"
],
"updated_at": "2026-08-02T11:49:48+00:00",
"root": {
"slug": "index",
"title": "Reproduction: Routing by Reaching: Composition of Pre-trained GFlowNets for Multi-Objective Generation",
"file": "pages/index.md",
"children": [
{
"slug": "executive-summary",
"title": "Executive summary",
"file": "pages/executive-summary/page.md",
"children": []
},
{
"slug": "claim-1-exact-linear-scalarization",
"title": "Claim 1 — Exact linear scalarization",
"file": "pages/claim-1-exact-linear-scalarization/page.md",
"children": []
},
{
"slug": "claim-2-full-neural-hypergrid",
"title": "Claim 2 — Full neural hypergrid",
"file": "pages/claim-2-full-neural-hypergrid/page.md",
"children": []
},
{
"slug": "claim-3-qm9-gap-sa",
"title": "Claim 3 — QM9 GAP-SA",
"file": "pages/claim-3-qm9-gap-sa/page.md",
"children": []
},
{
"slug": "claim-4-logical-speed-and-accuracy",
"title": "Claim 4 — Logical speed and accuracy",
"file": "pages/claim-4-logical-speed-and-accuracy/page.md",
"children": []
},
{
"slug": "claim-5-reaching-probability-ablation",
"title": "Claim 5 — Reaching-probability ablation",
"file": "pages/claim-5-reaching-probability-ablation/page.md",
"children": []
},
{
"slug": "claim-6-high-density-distortion",
"title": "Claim 6 — High-density distortion",
"file": "pages/claim-6-high-density-distortion/page.md",
"children": []
},
{
"slug": "conclusion",
"title": "Conclusion",
"file": "pages/conclusion/page.md",
"children": []
}
]
},
"agent_view_tokens": 7600,
"revision": "1785671388000000000"
}
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