{ "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" }