{ "schema_version": 2, "title": "Reproduction: Rethinking the Design Space of Reinforcement Learning for Diffusion Models: On the Importance of Likelihood Estimation Beyond Loss Design", "emoji": "🎯", "space_id": "Firemedic15/repro-rl-design-space-diffusion-models-likelihood-estimation", "paper": null, "tags": [ "icml2026-repro", "paper-3mJ9eTU319" ], "updated_at": "2026-07-22T15:53:20+00:00", "root": { "slug": "index", "title": "Reproduction: Rethinking the Design Space of Reinforcement Learning for Diffusion Models: On the Importance of Likelihood Estimation Beyond Loss Design", "file": "pages/index.md", "children": [ { "slug": "executive-summary", "title": "Executive summary", "file": "pages/executive-summary/page.md", "children": [] }, { "slug": "claim-1-design-space-deconstruction-elbo-likelihood-estimation-is-the-dominant-factor", "title": "Claim 1: Design space deconstruction — ELBO likelihood estimation is the dominant factor", "file": "pages/claim-1-design-space-deconstruction-elbo-likelihood-estimation-is-the-dominant-factor/page.md", "children": [] }, { "slug": "claim-2-geneval-0-24-0-95-in-90-gpu-hours-4-6x-over-flowgrpo-2x-over-diffusionnft", "title": "Claim 2: GenEval 0.24→0.95 in 90 GPU hours, 4.6x over FlowGRPO, 2x over DiffusionNFT", "file": "pages/claim-2-geneval-0-24-0-95-in-90-gpu-hours-4-6x-over-flowgrpo-2x-over-diffusionnft/page.md", "children": [] }, { "slug": "claim-3-three-new-policy-gradient-objectives-epg-pepg-par", "title": "Claim 3: Three new policy-gradient objectives — EPG, PEPG, PAR", "file": "pages/claim-3-three-new-policy-gradient-objectives-epg-pepg-par/page.md", "children": [] }, { "slug": "claim-4-forward-elbo-estimators-outperform-backward-trajectory-based-estimators", "title": "Claim 4: Forward ELBO estimators outperform backward trajectory-based estimators", "file": "pages/claim-4-forward-elbo-estimators-outperform-backward-trajectory-based-estimators/page.md", "children": [] }, { "slug": "claim-5-epg-vs-pepg-vs-par-performance-differences-are-minor-under-elbo", "title": "Claim 5: EPG vs PEPG vs PAR performance differences are minor under ELBO", "file": "pages/claim-5-epg-vs-pepg-vs-par-performance-differences-are-minor-under-elbo/page.md", "children": [] }, { "slug": "claim-6-evaluation-spans-geneval-ocr-drawbench-with-pickscore-clipscore-hpsv2-1", "title": "Claim 6: Evaluation spans GenEval, OCR, DrawBench with PickScore, CLIPScore, HPSv2.1", "file": "pages/claim-6-evaluation-spans-geneval-ocr-drawbench-with-pickscore-clipscore-hpsv2-1/page.md", "children": [] }, { "slug": "conclusion", "title": "Conclusion", "file": "pages/conclusion/page.md", "children": [] } ] }, "traces": [], "workspace": { "file": "workspace.json", "file_count": 0, "total_size": 0, "bucket_id": null }, "agent_view_tokens": 9770, "trace_view_tokens": 36994, "workspace_view_tokens": 8, "revision": "a2e6418303d31b9d2b1a", "traces_ref": { "repo_id": "Firemedic15/repro-rl-design-space-diffusion-models-likelihood-estimation-traces", "repo_type": "dataset", "repo_url": "https://huggingface.co/datasets/Firemedic15/repro-rl-design-space-diffusion-models-likelihood-estimation-traces", "private": true }, "trace_dataset": "https://huggingface.co/datasets/Firemedic15/repro-rl-design-space-diffusion-models-likelihood-estimation-traces" }