{"as_of":"2026-08-07T00:03:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:d808bff7d9abd8464f5dce8cad045193f2b4f21d914fa2057e3fb64ecc230754","coverage":[{"denominator":97,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":97,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-01T17:41:04.258735Z","state":"measured"},{"denominator":97,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":97,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-06T06:34:29.942622+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2607.17572/citation-record","integrity":"/paper/2607.17572/integrity","json":"/paper/2607.17572/citation-record.json","paper":"/paper/2607.17572"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T17:40:52.866482Z","title":"2024 , eprint=","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.17572","last_updated":"2026-07-25T08:59:31Z","snapshot_observed_at":"2026-08-03T13:23:48.122079Z","submitted_at":"2026-07-20T05:30:40Z","title":"JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models","version":3},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-01T17:40:52.866482Z"},"links":{"citing_paper":"/paper/2607.17572"},"observation_digest":"sha256:c482bb8cfd7c5d6fdc0ceec5550dc772e2d74abadb9cdd81969040e77133bfbe","observation_id":"32be5ac9-6976-43d6-bae0-ce5505e35fb7","resolution":{"observed_at":"2026-08-01T17:40:52.866482Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T17:40:52.950380Z","title":"2026 , eprint=","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.17572","last_updated":"2026-07-25T08:59:31Z","snapshot_observed_at":"2026-08-03T13:23:48.122079Z","submitted_at":"2026-07-20T05:30:40Z","title":"JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models","version":3},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-01T17:40:52.950380Z"},"links":{"citing_paper":"/paper/2607.17572"},"observation_digest":"sha256:b970b1dadd012044bceb3922ce3611f8288ed673658bc8ec6c3b3e53144b1e53","observation_id":"276d07f7-cdb4-4ad4-ba62-238251b07ffc","resolution":{"observed_at":"2026-08-01T17:40:52.950380Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T17:40:53.024795Z","title":"2026 , eprint=","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.17572","last_updated":"2026-07-25T08:59:31Z","snapshot_observed_at":"2026-08-03T13:23:48.122079Z","submitted_at":"2026-07-20T05:30:40Z","title":"JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models","version":3},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-01T17:40:53.024795Z"},"links":{"citing_paper":"/paper/2607.17572"},"observation_digest":"sha256:d25fb217ac0b0611ee99d5c1257373014c503848235df2272b65180382157cae","observation_id":"febf29ee-9fec-4ea6-90d4-2b53ea078270","resolution":{"observed_at":"2026-08-01T17:40:53.024795Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T17:40:53.082837Z","title":"2025 , eprint=","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.17572","last_updated":"2026-07-25T08:59:31Z","snapshot_observed_at":"2026-08-03T13:23:48.122079Z","submitted_at":"2026-07-20T05:30:40Z","title":"JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models","version":3},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-01T17:40:53.082837Z"},"links":{"citing_paper":"/paper/2607.17572"},"observation_digest":"sha256:65f6186693daffc731e5dd40be35e44e978776b39e8c793a19a38da24b6534f9","observation_id":"c8c95e3e-4228-4dd8-95c3-fef0444e9dd6","resolution":{"observed_at":"2026-08-01T17:40:53.082837Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T17:40:53.174356Z","title":"2025 , eprint=","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.17572","last_updated":"2026-07-25T08:59:31Z","snapshot_observed_at":"2026-08-03T13:23:48.122079Z","submitted_at":"2026-07-20T05:30:40Z","title":"JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models","version":3},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-01T17:40:53.174356Z"},"links":{"citing_paper":"/paper/2607.17572"},"observation_digest":"sha256:83631f5f2313d5373682b40ee5fbd78ba93075378131ce4d445a74e22a3cd969","observation_id":"18e35bbf-715a-4978-bb59-595ed1ba559c","resolution":{"observed_at":"2026-08-01T17:40:53.174356Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T17:40:53.248765Z","title":"2020 , eprint=","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.17572","last_updated":"2026-07-25T08:59:31Z","snapshot_observed_at":"2026-08-03T13:23:48.122079Z","submitted_at":"2026-07-20T05:30:40Z","title":"JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models","version":3},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-01T17:40:53.248765Z"},"links":{"citing_paper":"/paper/2607.17572"},"observation_digest":"sha256:95356b56f39adaf56c74fc7b50d0e426fbe580f3718f5ebee7ba026d89669182","observation_id":"5279fa82-1e56-429f-9f2a-fbaf9a8af527","resolution":{"observed_at":"2026-08-01T17:40:53.248765Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T17:40:53.313679Z","title":"2022 , eprint=","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.17572","last_updated":"2026-07-25T08:59:31Z","snapshot_observed_at":"2026-08-03T13:23:48.122079Z","submitted_at":"2026-07-20T05:30:40Z","title":"JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models","version":3},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-01T17:40:53.313679Z"},"links":{"citing_paper":"/paper/2607.17572"},"observation_digest":"sha256:2f33cbcda3700aaedaf3ad0a92f5badde0ea8653996521a34b6441eac8d8853b","observation_id":"7771282a-3c85-48b0-ae30-57194fb416d3","resolution":{"observed_at":"2026-08-01T17:40:53.313679Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T17:40:53.385627Z","title":"2022 , eprint=","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.17572","last_updated":"2026-07-25T08:59:31Z","snapshot_observed_at":"2026-08-03T13:23:48.122079Z","submitted_at":"2026-07-20T05:30:40Z","title":"JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models","version":3},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-01T17:40:53.385627Z"},"links":{"citing_paper":"/paper/2607.17572"},"observation_digest":"sha256:85ee0c87072c7dba0c7e16bdd23891cfe863bcfac9e2801ae7f3667d6b14850c","observation_id":"efbcfd6f-90d6-4d80-b663-285739997b4e","resolution":{"observed_at":"2026-08-01T17:40:53.385627Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T17:40:53.431577Z","title":"2024 , eprint=","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.17572","last_updated":"2026-07-25T08:59:31Z","snapshot_observed_at":"2026-08-03T13:23:48.122079Z","submitted_at":"2026-07-20T05:30:40Z","title":"JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models","version":3},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-01T17:40:53.431577Z"},"links":{"citing_paper":"/paper/2607.17572"},"observation_digest":"sha256:b2aafaacbe292384a8f4ef24d65cdfd87686019082a95f1bb252a8f6e4325864","observation_id":"79effb06-8ac1-4fc0-9038-68e5944483e7","resolution":{"observed_at":"2026-08-01T17:40:53.431577Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T17:40:53.472367Z","title":"Enhancing Deep Reinforcement Learning: A Tutorial on Generative Diffusion Models in Network Optimization , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.17572","last_updated":"2026-07-25T08:59:31Z","snapshot_observed_at":"2026-08-03T13:23:48.122079Z","submitted_at":"2026-07-20T05:30:40Z","title":"JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models","version":3},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-01T17:40:53.472367Z"},"links":{"citing_paper":"/paper/2607.17572"},"observation_digest":"sha256:1ccab01c5437656d1dc02971d274fc152be75a00f2cd86fa1b96ce94c90a6881","observation_id":"79c1679a-f6c8-4d71-83db-df4d5b77c115","resolution":{"observed_at":"2026-08-01T17:40:53.472367Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T17:40:53.545728Z","title":"2024 , eprint=","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.17572","last_updated":"2026-07-25T08:59:31Z","snapshot_observed_at":"2026-08-03T13:23:48.122079Z","submitted_at":"2026-07-20T05:30:40Z","title":"JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models","version":3},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-01T17:40:53.545728Z"},"links":{"citing_paper":"/paper/2607.17572"},"observation_digest":"sha256:3c6e8a3e551ac09ac98ec2de57a706838f06aafcbb4e24d6cab23112493e8940","observation_id":"53a73c3e-7f10-432e-b5e8-24d22558f7de","resolution":{"observed_at":"2026-08-01T17:40:53.545728Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T17:40:53.620386Z","title":"DPOK: Reinforcement Learning for Fine-tuning Text-to-Image Diffusion Models , url =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.17572","last_updated":"2026-07-25T08:59:31Z","snapshot_observed_at":"2026-08-03T13:23:48.122079Z","submitted_at":"2026-07-20T05:30:40Z","title":"JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models","version":3},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-01T17:40:53.620386Z"},"links":{"citing_paper":"/paper/2607.17572"},"observation_digest":"sha256:0f4c2631ff5bd7240292c75908aaf2d309d89f9194fc036847339bd52b0505e9","observation_id":"d9cc39ff-a9fa-4ccd-a47c-83fb22bf2d01","resolution":{"observed_at":"2026-08-01T17:40:53.620386Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T17:40:53.683868Z","title":"2025 , eprint=","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.17572","last_updated":"2026-07-25T08:59:31Z","snapshot_observed_at":"2026-08-03T13:23:48.122079Z","submitted_at":"2026-07-20T05:30:40Z","title":"JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models","version":3},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-01T17:40:53.683868Z"},"links":{"citing_paper":"/paper/2607.17572"},"observation_digest":"sha256:47f3057f616173663bfb0891834ddddf27b90c398729e9b895d59e52597fbe45","observation_id":"dc009443-cef9-42ea-88f6-4b1fb194a189","resolution":{"observed_at":"2026-08-01T17:40:53.683868Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T17:40:53.759453Z","title":"DiffPPO: Reinforcement Learning Fine-Tuning of Diffusion Models for Text-to-Image Generation , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.17572","last_updated":"2026-07-25T08:59:31Z","snapshot_observed_at":"2026-08-03T13:23:48.122079Z","submitted_at":"2026-07-20T05:30:40Z","title":"JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models","version":3},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-01T17:40:53.759453Z"},"links":{"citing_paper":"/paper/2607.17572"},"observation_digest":"sha256:a271eaec2f5e77b7810932481d6f8d306f88b4d9952718319283cc5f3da5e084","observation_id":"f8c0a300-970f-40fa-b6ec-0de73a2f0b79","resolution":{"observed_at":"2026-08-01T17:40:53.759453Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1007/978-3-031-72698-9_11","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Computer Vision – ECCV 2024: 18th European Conference, Milan, Italy, September 29–October 4, 2024, Proceedings, Part XXV , pages =","venue":"Lecture notes in computer science","work_id":"f7f84975-c323-4402-8202-f6a0ef69feea","year":2024},"citing_paper":{"arxiv_id":"2607.17572","last_updated":"2026-07-25T08:59:31Z","snapshot_observed_at":"2026-08-03T13:23:48.122079Z","submitted_at":"2026-07-20T05:30:40Z","title":"JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models","version":3},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-01T17:40:53.833726Z"},"links":{"citing_paper":"/paper/2607.17572"},"observation_digest":"sha256:dca2cac60ca1e87eb1068f57972a363e4b1793d492682a1d4f8b8fa416526d77","observation_id":"7839f8eb-e5a3-4960-81ca-50c9b4f69f34","resolution":{"observed_at":"2026-08-01T17:43:23.633181Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T17:40:53.915318Z","title":"Training Diffusion Models Towards Diverse Image Generation with Reinforcement Learning , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.17572","last_updated":"2026-07-25T08:59:31Z","snapshot_observed_at":"2026-08-03T13:23:48.122079Z","submitted_at":"2026-07-20T05:30:40Z","title":"JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models","version":3},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-01T17:40:53.915318Z"},"links":{"citing_paper":"/paper/2607.17572"},"observation_digest":"sha256:6ad2c77eda8f19a94ed9e593010f78f1b81cb83a4f7fe8890ad49abcb3ce7fbf","observation_id":"06958d25-45d8-4230-b004-511242713a8c","resolution":{"observed_at":"2026-08-01T17:40:53.915318Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T17:40:53.976758Z","title":"2025 , eprint=","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.17572","last_updated":"2026-07-25T08:59:31Z","snapshot_observed_at":"2026-08-03T13:23:48.122079Z","submitted_at":"2026-07-20T05:30:40Z","title":"JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models","version":3},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-01T17:40:53.976758Z"},"links":{"citing_paper":"/paper/2607.17572"},"observation_digest":"sha256:5291b2fd34c1182485bf1caa0a905c51f28b34dc9a113a377269f71bfcd95d0d","observation_id":"c4c46bae-aede-4158-a433-016c50f54012","resolution":{"observed_at":"2026-08-01T17:40:53.976758Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T17:40:54.031271Z","title":"2023 , eprint=","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.17572","last_updated":"2026-07-25T08:59:31Z","snapshot_observed_at":"2026-08-03T13:23:48.122079Z","submitted_at":"2026-07-20T05:30:40Z","title":"JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models","version":3},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-01T17:40:54.031271Z"},"links":{"citing_paper":"/paper/2607.17572"},"observation_digest":"sha256:2d38d19b7a5e0759f5c38311d09c108934c409a4b2dfc5c7486c5b16f86b97d3","observation_id":"52e45bfc-ed10-4aaf-ae43-20d574288305","resolution":{"observed_at":"2026-08-01T17:40:54.031271Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T17:40:54.086617Z","title":"2026 , eprint=","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.17572","last_updated":"2026-07-25T08:59:31Z","snapshot_observed_at":"2026-08-03T13:23:48.122079Z","submitted_at":"2026-07-20T05:30:40Z","title":"JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models","version":3},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-01T17:40:54.086617Z"},"links":{"citing_paper":"/paper/2607.17572"},"observation_digest":"sha256:460b8bc3da40397c991a7579aa9f735d3f5785c3c48a7148c6dce1d306b6ba91","observation_id":"a98590b2-e3ea-48a3-a128-d260da3d81f7","resolution":{"observed_at":"2026-08-01T17:40:54.086617Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T17:40:54.180252Z","title":"2025 , eprint=","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.17572","last_updated":"2026-07-25T08:59:31Z","snapshot_observed_at":"2026-08-03T13:23:48.122079Z","submitted_at":"2026-07-20T05:30:40Z","title":"JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models","version":3},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-01T17:40:54.180252Z"},"links":{"citing_paper":"/paper/2607.17572"},"observation_digest":"sha256:f65d0d0afed2cee23db5faedc15a7a42529743d44f15433176e532d87bfb1710","observation_id":"6e77edc1-477b-4894-b787-18fae7ca5343","resolution":{"observed_at":"2026-08-01T17:40:54.180252Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T17:40:54.231936Z","title":"2026 , eprint=","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.17572","last_updated":"2026-07-25T08:59:31Z","snapshot_observed_at":"2026-08-03T13:23:48.122079Z","submitted_at":"2026-07-20T05:30:40Z","title":"JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models","version":3},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-01T17:40:54.231936Z"},"links":{"citing_paper":"/paper/2607.17572"},"observation_digest":"sha256:3b78b268f8f1e2c24f737bf70775702bd22f663e18de1b50eba7ce2652b290fe","observation_id":"28e16fa9-20ce-4432-b9cc-962c087dc624","resolution":{"observed_at":"2026-08-01T17:40:54.231936Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T17:40:54.294262Z","title":"2026 , eprint=","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.17572","last_updated":"2026-07-25T08:59:31Z","snapshot_observed_at":"2026-08-03T13:23:48.122079Z","submitted_at":"2026-07-20T05:30:40Z","title":"JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models","version":3},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-01T17:40:54.294262Z"},"links":{"citing_paper":"/paper/2607.17572"},"observation_digest":"sha256:c1efbc8bfa75443a0f084c4f7b4436a45fc0875b9c65f6128added78d6f1ec3f","observation_id":"20b3e8a4-beaa-40b6-aabd-c78faa609b7f","resolution":{"observed_at":"2026-08-01T17:40:54.294262Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T17:40:54.352085Z","title":"2025 , eprint=","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.17572","last_updated":"2026-07-25T08:59:31Z","snapshot_observed_at":"2026-08-03T13:23:48.122079Z","submitted_at":"2026-07-20T05:30:40Z","title":"JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models","version":3},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-01T17:40:54.352085Z"},"links":{"citing_paper":"/paper/2607.17572"},"observation_digest":"sha256:500772b5b9773f8cb638c2fc8edad0b1d0f451822cb9511a35c7a5e143a903f1","observation_id":"ce2015d3-a2f2-42e5-a6a3-dae96c26dec8","resolution":{"observed_at":"2026-08-01T17:40:54.352085Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T17:40:54.423151Z","title":"2026 , eprint=","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.17572","last_updated":"2026-07-25T08:59:31Z","snapshot_observed_at":"2026-08-03T13:23:48.122079Z","submitted_at":"2026-07-20T05:30:40Z","title":"JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models","version":3},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-01T17:40:54.423151Z"},"links":{"citing_paper":"/paper/2607.17572"},"observation_digest":"sha256:e4cf6e372866ac89cb720db6ad99a0e9bee7b36da865261c6cb459482fa0299a","observation_id":"0208ad66-e43f-49e6-8840-b93facb4cd50","resolution":{"observed_at":"2026-08-01T17:40:54.423151Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T17:40:54.500244Z","title":"2025 , eprint=","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.17572","last_updated":"2026-07-25T08:59:31Z","snapshot_observed_at":"2026-08-03T13:23:48.122079Z","submitted_at":"2026-07-20T05:30:40Z","title":"JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models","version":3},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-01T17:40:54.500244Z"},"links":{"citing_paper":"/paper/2607.17572"},"observation_digest":"sha256:4b933ae892181ca06cbcbe79758225fad7d8a2c879382b81ca03396a1415afcf","observation_id":"1d20eead-18a5-435d-8b31-344152d15db7","resolution":{"observed_at":"2026-08-01T17:40:54.500244Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T17:40:54.558901Z","title":"2026 , eprint=","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.17572","last_updated":"2026-07-25T08:59:31Z","snapshot_observed_at":"2026-08-03T13:23:48.122079Z","submitted_at":"2026-07-20T05:30:40Z","title":"JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models","version":3},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-01T17:40:54.558901Z"},"links":{"citing_paper":"/paper/2607.17572"},"observation_digest":"sha256:46176cecc3680fbe78bf27ab217a7aa00e0c0fb4dda292cba42b01860ec7d5d9","observation_id":"44da4ca2-66d3-44f0-ac33-35fd69b5890a","resolution":{"observed_at":"2026-08-01T17:40:54.558901Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T17:40:54.649247Z","title":"2025 , eprint=","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.17572","last_updated":"2026-07-25T08:59:31Z","snapshot_observed_at":"2026-08-03T13:23:48.122079Z","submitted_at":"2026-07-20T05:30:40Z","title":"JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models","version":3},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-01T17:40:54.649247Z"},"links":{"citing_paper":"/paper/2607.17572"},"observation_digest":"sha256:561a4862d0a36b11b79d4741f521cb6dd4922b7e03f5dee58b1bb0b96dcbe254","observation_id":"327c704f-6206-4bc4-91c6-975ddc392653","resolution":{"observed_at":"2026-08-01T17:40:54.649247Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T17:40:54.723545Z","title":"2026 , eprint=","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.17572","last_updated":"2026-07-25T08:59:31Z","snapshot_observed_at":"2026-08-03T13:23:48.122079Z","submitted_at":"2026-07-20T05:30:40Z","title":"JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models","version":3},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-01T17:40:54.723545Z"},"links":{"citing_paper":"/paper/2607.17572"},"observation_digest":"sha256:78b650cbe27f4a33b1e0651498a9489dbc67c671c2b2ec422518ad0d76b95593","observation_id":"e67ca6b4-3701-475b-820d-b4162c08d60b","resolution":{"observed_at":"2026-08-01T17:40:54.723545Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T17:40:54.764892Z","title":"2026 , eprint=","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.17572","last_updated":"2026-07-25T08:59:31Z","snapshot_observed_at":"2026-08-03T13:23:48.122079Z","submitted_at":"2026-07-20T05:30:40Z","title":"JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models","version":3},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-01T17:40:54.764892Z"},"links":{"citing_paper":"/paper/2607.17572"},"observation_digest":"sha256:b61285fcd56d6430edac9d91ccfc5e0f6a53e11f54a7f466aa84f7f72a500cb3","observation_id":"c0f52353-6aa5-4a00-be58-73e872eee561","resolution":{"observed_at":"2026-08-01T17:40:54.764892Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T17:40:54.820197Z","title":"2026 , eprint=","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.17572","last_updated":"2026-07-25T08:59:31Z","snapshot_observed_at":"2026-08-03T13:23:48.122079Z","submitted_at":"2026-07-20T05:30:40Z","title":"JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models","version":3},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-01T17:40:54.820197Z"},"links":{"citing_paper":"/paper/2607.17572"},"observation_digest":"sha256:1e013bf69e7e9c0bd4e0c759c5963d0b0e3220c6279aa9ebad0a35a815eb932e","observation_id":"1be0cf9a-d7e8-4ece-86ed-9767e1a417de","resolution":{"observed_at":"2026-08-01T17:40:54.820197Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T17:40:54.834598Z","title":"2026 , eprint=","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.17572","last_updated":"2026-07-25T08:59:31Z","snapshot_observed_at":"2026-08-03T13:23:48.122079Z","submitted_at":"2026-07-20T05:30:40Z","title":"JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models","version":3},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-01T17:40:54.834598Z"},"links":{"citing_paper":"/paper/2607.17572"},"observation_digest":"sha256:27b72ca6280abd7d147a6c66de1520c288a257b3ac716c1fd57ef56da7ca5e5c","observation_id":"096de604-291f-462a-8863-d388832933a2","resolution":{"observed_at":"2026-08-01T17:40:54.834598Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T17:40:54.946232Z","title":"2026 , eprint=","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.17572","last_updated":"2026-07-25T08:59:31Z","snapshot_observed_at":"2026-08-03T13:23:48.122079Z","submitted_at":"2026-07-20T05:30:40Z","title":"JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models","version":3},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-01T17:40:54.946232Z"},"links":{"citing_paper":"/paper/2607.17572"},"observation_digest":"sha256:2041f400b3e446dd669ba45903507012f26aca8e92429077a9835d7cb3ad2ab2","observation_id":"3094e1cd-e507-4dce-9a2e-2a852daee8b3","resolution":{"observed_at":"2026-08-01T17:40:54.946232Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T17:40:55.105282Z","title":"2026 , eprint=","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.17572","last_updated":"2026-07-25T08:59:31Z","snapshot_observed_at":"2026-08-03T13:23:48.122079Z","submitted_at":"2026-07-20T05:30:40Z","title":"JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models","version":3},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-01T17:40:55.105282Z"},"links":{"citing_paper":"/paper/2607.17572"},"observation_digest":"sha256:33006e6cd021972a4a64bde6b2a34082344cb7ba8a8cef680ec77e318046150e","observation_id":"985b9e26-af06-4ae3-8d6d-af7899dfbc3b","resolution":{"observed_at":"2026-08-01T17:40:55.105282Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T17:40:55.214025Z","title":"2025 , eprint=","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.17572","last_updated":"2026-07-25T08:59:31Z","snapshot_observed_at":"2026-08-03T13:23:48.122079Z","submitted_at":"2026-07-20T05:30:40Z","title":"JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models","version":3},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-01T17:40:55.214025Z"},"links":{"citing_paper":"/paper/2607.17572"},"observation_digest":"sha256:dbdade002d0582d60a184869e5cab607720a3e98b74120de0ae9f679554d1c2f","observation_id":"f3faac36-84e7-4a7f-8e9a-469e907be889","resolution":{"observed_at":"2026-08-01T17:40:55.214025Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T17:40:55.322379Z","title":"2023 , eprint=","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.17572","last_updated":"2026-07-25T08:59:31Z","snapshot_observed_at":"2026-08-03T13:23:48.122079Z","submitted_at":"2026-07-20T05:30:40Z","title":"JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models","version":3},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-01T17:40:55.322379Z"},"links":{"citing_paper":"/paper/2607.17572"},"observation_digest":"sha256:eca6580d645aa3577c41939b27d5b683fc33eea2d49fdd7b512aaef66aa854e0","observation_id":"94b030df-7fe7-445e-b62a-63ddadc78833","resolution":{"observed_at":"2026-08-01T17:40:55.322379Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T17:40:55.474413Z","title":"2025 , eprint=","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.17572","last_updated":"2026-07-25T08:59:31Z","snapshot_observed_at":"2026-08-03T13:23:48.122079Z","submitted_at":"2026-07-20T05:30:40Z","title":"JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models","version":3},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-01T17:40:55.474413Z"},"links":{"citing_paper":"/paper/2607.17572"},"observation_digest":"sha256:180929a768e4939a60a62836d8ba99491d9367a29e6f429a1ba06db3c95a32e6","observation_id":"6f54ab10-8f0f-4e2f-8ec7-a82d379d6cd2","resolution":{"observed_at":"2026-08-01T17:40:55.474413Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T17:40:55.636667Z","title":"2023 , eprint=","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.17572","last_updated":"2026-07-25T08:59:31Z","snapshot_observed_at":"2026-08-03T13:23:48.122079Z","submitted_at":"2026-07-20T05:30:40Z","title":"JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models","version":3},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-01T17:40:55.636667Z"},"links":{"citing_paper":"/paper/2607.17572"},"observation_digest":"sha256:6be605bb7983a4d1797840d08dfca2269f426537f6010e18b41b784c0f916b4b","observation_id":"2a6c9478-02aa-4740-ba9e-d06fbd837c50","resolution":{"observed_at":"2026-08-01T17:40:55.636667Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T17:40:55.743287Z","title":"2023 , eprint=","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.17572","last_updated":"2026-07-25T08:59:31Z","snapshot_observed_at":"2026-08-03T13:23:48.122079Z","submitted_at":"2026-07-20T05:30:40Z","title":"JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models","version":3},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-01T17:40:55.743287Z"},"links":{"citing_paper":"/paper/2607.17572"},"observation_digest":"sha256:b8b542e1303d93db1da1646d97616e0346eb01432b22c4f77e9484358da5f4c8","observation_id":"e3d695fe-5519-4ee7-b45e-2388b4b0097e","resolution":{"observed_at":"2026-08-01T17:40:55.743287Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T17:40:55.859948Z","title":"2022 , eprint=","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.17572","last_updated":"2026-07-25T08:59:31Z","snapshot_observed_at":"2026-08-03T13:23:48.122079Z","submitted_at":"2026-07-20T05:30:40Z","title":"JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models","version":3},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-01T17:40:55.859948Z"},"links":{"citing_paper":"/paper/2607.17572"},"observation_digest":"sha256:26980d7d295a2f70f37ac0c86bc3b65e4e3e610072f37cc9bed2676c2498036d","observation_id":"c0b3bc43-47d8-49c8-877b-79c384c292e3","resolution":{"observed_at":"2026-08-01T17:40:55.859948Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T17:40:56.003708Z","title":"2025 , eprint=","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.17572","last_updated":"2026-07-25T08:59:31Z","snapshot_observed_at":"2026-08-03T13:23:48.122079Z","submitted_at":"2026-07-20T05:30:40Z","title":"JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models","version":3},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-01T17:40:56.003708Z"},"links":{"citing_paper":"/paper/2607.17572"},"observation_digest":"sha256:142cbd8ab93138ff4cbf400e2115935953179e2e1b2763613adff8f73efde539","observation_id":"b6d7d517-370f-478a-b405-01e09aaa5afc","resolution":{"observed_at":"2026-08-01T17:40:56.003708Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T17:40:56.163392Z","title":"2024 , howpublished=","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.17572","last_updated":"2026-07-25T08:59:31Z","snapshot_observed_at":"2026-08-03T13:23:48.122079Z","submitted_at":"2026-07-20T05:30:40Z","title":"JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models","version":3},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-01T17:40:56.163392Z"},"links":{"citing_paper":"/paper/2607.17572"},"observation_digest":"sha256:63071f957d42cdd3b9c8691349a19a1af46b55b5e6dab21eeaae3391f9c4c154","observation_id":"0bde6e87-dd5b-4378-b978-99abf3bc48cc","resolution":{"observed_at":"2026-08-01T17:40:56.163392Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T17:40:56.416859Z","title":"2025 , eprint=","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.17572","last_updated":"2026-07-25T08:59:31Z","snapshot_observed_at":"2026-08-03T13:23:48.122079Z","submitted_at":"2026-07-20T05:30:40Z","title":"JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models","version":3},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-01T17:40:56.416859Z"},"links":{"citing_paper":"/paper/2607.17572"},"observation_digest":"sha256:d214aa843f108c69a08a159be3274c7c33eea491bb8a012367cee19c3cbfdd54","observation_id":"8932e2ce-4e05-4211-bb28-eee90dc65d73","resolution":{"observed_at":"2026-08-01T17:40:56.416859Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T17:40:56.566088Z","title":"2025 , eprint=","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.17572","last_updated":"2026-07-25T08:59:31Z","snapshot_observed_at":"2026-08-03T13:23:48.122079Z","submitted_at":"2026-07-20T05:30:40Z","title":"JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models","version":3},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-01T17:40:56.566088Z"},"links":{"citing_paper":"/paper/2607.17572"},"observation_digest":"sha256:a4a593e1bca793930a345c6a73a4b36714f795dcaaebea7b1b742c3e8541d1a9","observation_id":"e1908460-d7c6-4c58-afce-c58e106b10e2","resolution":{"observed_at":"2026-08-01T17:40:56.566088Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T17:40:56.672656Z","title":"2018 , eprint=","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.17572","last_updated":"2026-07-25T08:59:31Z","snapshot_observed_at":"2026-08-03T13:23:48.122079Z","submitted_at":"2026-07-20T05:30:40Z","title":"JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models","version":3},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-08-01T17:40:56.672656Z"},"links":{"citing_paper":"/paper/2607.17572"},"observation_digest":"sha256:848d27042d0924754b06e96281d4f8e1570c2f9bf244231e40e1fdbde5eba3ce","observation_id":"cefc80ba-cafd-40f8-ade4-d455138f43ec","resolution":{"observed_at":"2026-08-01T17:40:56.672656Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T17:40:56.818530Z","title":"2026 , eprint=","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.17572","last_updated":"2026-07-25T08:59:31Z","snapshot_observed_at":"2026-08-03T13:23:48.122079Z","submitted_at":"2026-07-20T05:30:40Z","title":"JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models","version":3},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-08-01T17:40:56.818530Z"},"links":{"citing_paper":"/paper/2607.17572"},"observation_digest":"sha256:8a79c008847385552a2c1495f6d0d7826952ff0901da3b002271e978c10060dd","observation_id":"35e4e3a1-3f3d-49a1-939c-e0e6b3d331a0","resolution":{"observed_at":"2026-08-01T17:40:56.818530Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T17:40:56.914386Z","title":"2025 , eprint=","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.17572","last_updated":"2026-07-25T08:59:31Z","snapshot_observed_at":"2026-08-03T13:23:48.122079Z","submitted_at":"2026-07-20T05:30:40Z","title":"JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models","version":3},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-08-01T17:40:56.914386Z"},"links":{"citing_paper":"/paper/2607.17572"},"observation_digest":"sha256:26087c437961b2099e99338948b2bd13bc40ea87aecc0a9e1588093faed2eae8","observation_id":"5e2bffa2-b64a-435b-84c2-e4c13272f75c","resolution":{"observed_at":"2026-08-01T17:40:56.914386Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T17:40:57.071276Z","title":"2025 , eprint=","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.17572","last_updated":"2026-07-25T08:59:31Z","snapshot_observed_at":"2026-08-03T13:23:48.122079Z","submitted_at":"2026-07-20T05:30:40Z","title":"JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models","version":3},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-08-01T17:40:57.071276Z"},"links":{"citing_paper":"/paper/2607.17572"},"observation_digest":"sha256:21d8947c7d375dbd6373c43697f7bba5adf092bad4da1706da21492a49b5d6fb","observation_id":"7f1471b0-8468-4e2d-afad-8580c7fbd01c","resolution":{"observed_at":"2026-08-01T17:40:57.071276Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T17:40:57.205797Z","title":"2024 , eprint=","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.17572","last_updated":"2026-07-25T08:59:31Z","snapshot_observed_at":"2026-08-03T13:23:48.122079Z","submitted_at":"2026-07-20T05:30:40Z","title":"JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models","version":3},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-08-01T17:40:57.205797Z"},"links":{"citing_paper":"/paper/2607.17572"},"observation_digest":"sha256:f2c165e5bbd6282840c8392e4a33ceaabaaf38caca10b7020e485a45b9230331","observation_id":"20d867fe-7984-4c7a-b00c-2d3051ddcf2c","resolution":{"observed_at":"2026-08-01T17:40:57.205797Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T17:40:57.324329Z","title":"2025 , eprint=","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.17572","last_updated":"2026-07-25T08:59:31Z","snapshot_observed_at":"2026-08-03T13:23:48.122079Z","submitted_at":"2026-07-20T05:30:40Z","title":"JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models","version":3},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-08-01T17:40:57.324329Z"},"links":{"citing_paper":"/paper/2607.17572"},"observation_digest":"sha256:48bc1dc67c22f4a864759c71dcafd1817fba63baffadf7f7ed45cc366c487d5e","observation_id":"9339dc20-d7d0-4fea-b386-92ce8afee7ec","resolution":{"observed_at":"2026-08-01T17:40:57.324329Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T17:40:57.379988Z","title":"The Fourteenth International Conference on Learning Representations , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.17572","last_updated":"2026-07-25T08:59:31Z","snapshot_observed_at":"2026-08-03T13:23:48.122079Z","submitted_at":"2026-07-20T05:30:40Z","title":"JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models","version":3},"reference_index":50,"source":"arxiv_source","source_observed_at":"2026-08-01T17:40:57.379988Z"},"links":{"citing_paper":"/paper/2607.17572"},"observation_digest":"sha256:5c6f62b2e5f006cb1485da9a0f62bf2accee95fb3d72a550783bdec692ea8bdb","observation_id":"b72dd472-cf28-429b-bab8-0f0491e8e393","resolution":{"observed_at":"2026-08-01T17:40:57.379988Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.08797","last_updated":"2025-10-09T00:43:44Z","snapshot_observed_at":"2026-07-06T15:03:52.079498Z","submitted_at":"2023-03-15T17:43:42Z","title":"Stochastic Interpolants: A Unifying Framework for Flows and Diffusions","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.08797","snapshot_observed_at":"2026-08-01T17:40:57.545887Z","title":"S.; Boffi, N","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.17572","last_updated":"2026-07-25T08:59:31Z","snapshot_observed_at":"2026-08-03T13:23:48.122079Z","submitted_at":"2026-07-20T05:30:40Z","title":"JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models","version":3},"reference_index":51,"source":"arxiv_source","source_observed_at":"2026-08-01T17:40:57.545887Z"},"links":{"cited_paper":"/paper/2303.08797","citing_paper":"/paper/2607.17572"},"observation_digest":"sha256:7c7ef2a33b5743f75139951a786958217f268f6a0c06180409a8ca4ef3cd4aea","observation_id":"a4452468-7a1b-4819-858d-e4514e7658e2","resolution":{"observed_at":"2026-08-01T17:40:57.545887Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2209.15571","last_updated":"2023-03-09T15:18:40Z","snapshot_observed_at":"2026-07-06T13:58:18.393526Z","submitted_at":"2022-09-30T16:30:31Z","title":"Building Normalizing Flows with Stochastic Interpolants","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2209.15571","snapshot_observed_at":"2026-08-01T17:40:57.669967Z","title":"S.; and Vanden-Eijnden, E","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.17572","last_updated":"2026-07-25T08:59:31Z","snapshot_observed_at":"2026-08-03T13:23:48.122079Z","submitted_at":"2026-07-20T05:30:40Z","title":"JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models","version":3},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-08-01T17:40:57.669967Z"},"links":{"cited_paper":"/paper/2209.15571","citing_paper":"/paper/2607.17572"},"observation_digest":"sha256:4faed6e9486b60169af87e3409bff4d594196f665d5cfd72a22d03316aa73779","observation_id":"6ee6c90b-746b-4256-95ee-99a777c46199","resolution":{"observed_at":"2026-08-01T17:40:57.669967Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.13301","last_updated":"2024-01-04T19:11:25Z","snapshot_observed_at":"2026-08-01T15:43:51.739518Z","submitted_at":"2023-05-22T17:57:41Z","title":"Training Diffusion Models with Reinforcement Learning","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.13301","snapshot_observed_at":"2026-08-01T17:40:57.873450Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.17572","last_updated":"2026-07-25T08:59:31Z","snapshot_observed_at":"2026-08-03T13:23:48.122079Z","submitted_at":"2026-07-20T05:30:40Z","title":"JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models","version":3},"reference_index":53,"source":"arxiv_source","source_observed_at":"2026-08-01T17:40:57.873450Z"},"links":{"cited_paper":"/paper/2305.13301","citing_paper":"/paper/2607.17572"},"observation_digest":"sha256:f38b71103f47c98990432848c80e903249ad9936ee85163473d0ccc0406008e8","observation_id":"9f6b9fb3-69e6-4e9a-aebd-9b5e07114049","resolution":{"observed_at":"2026-08-01T17:40:57.873450Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1606.04838","last_updated":"2018-02-08T20:40:22Z","snapshot_observed_at":"2026-07-06T05:00:05.796040Z","submitted_at":"2016-06-15T16:15:53Z","title":"Optimization Methods for Large-Scale Machine Learning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1606.04838","snapshot_observed_at":"2026-08-01T17:40:58.039436Z","title":"E.; and Nocedal, J","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.17572","last_updated":"2026-07-25T08:59:31Z","snapshot_observed_at":"2026-08-03T13:23:48.122079Z","submitted_at":"2026-07-20T05:30:40Z","title":"JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models","version":3},"reference_index":54,"source":"arxiv_source","source_observed_at":"2026-08-01T17:40:58.039436Z"},"links":{"cited_paper":"/paper/1606.04838","citing_paper":"/paper/2607.17572"},"observation_digest":"sha256:4065bc32b6b7a17dd6e8c6722be34852851e05b75fe726a190ad65fed39eb01b","observation_id":"c2a8c0bc-caf7-4106-ae1e-50e318442fed","resolution":{"observed_at":"2026-08-01T17:40:58.039436Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T17:40:58.196529Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.17572","last_updated":"2026-07-25T08:59:31Z","snapshot_observed_at":"2026-08-03T13:23:48.122079Z","submitted_at":"2026-07-20T05:30:40Z","title":"JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models","version":3},"reference_index":55,"source":"arxiv_source","source_observed_at":"2026-08-01T17:40:58.196529Z"},"links":{"citing_paper":"/paper/2607.17572"},"observation_digest":"sha256:429440ca1d3e38145e926912a629e15d967b088d6dd0ef90ac2fe1c9350431db","observation_id":"c0a96964-57cd-47f0-8f5a-7868b276d8ba","resolution":{"observed_at":"2026-08-01T17:40:58.196529Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.01125","last_updated":"2024-06-03T09:10:44Z","snapshot_observed_at":"2026-07-06T18:24:17.711867Z","submitted_at":"2024-06-03T09:10:44Z","title":"$\\Delta$-DiT: A Training-Free Acceleration Method Tailored for Diffusion Transformers","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.01125","snapshot_observed_at":"2026-08-01T17:40:58.317657Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.17572","last_updated":"2026-07-25T08:59:31Z","snapshot_observed_at":"2026-08-03T13:23:48.122079Z","submitted_at":"2026-07-20T05:30:40Z","title":"JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models","version":3},"reference_index":56,"source":"arxiv_source","source_observed_at":"2026-08-01T17:40:58.317657Z"},"links":{"cited_paper":"/paper/2406.01125","citing_paper":"/paper/2607.17572"},"observation_digest":"sha256:4dd45ca60d228fdcb7558f69ef4113a296e90cb8f478b467caf269ccc54a741d","observation_id":"598a82d4-7a02-4014-8c8c-8f6e6e69061c","resolution":{"observed_at":"2026-08-01T17:40:58.317657Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.04240","last_updated":"2025-05-25T08:28:30Z","snapshot_observed_at":"2026-07-06T20:47:41.890652Z","submitted_at":"2025-03-06T09:21:54Z","title":"DiffPO: Diffusion-styled Preference Optimization for Efficient Inference-Time Alignment of Large Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.04240","snapshot_observed_at":"2026-08-01T17:40:58.443704Z","title":"T.; Quek, T.; Poria, S.; and Liu, Z","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.17572","last_updated":"2026-07-25T08:59:31Z","snapshot_observed_at":"2026-08-03T13:23:48.122079Z","submitted_at":"2026-07-20T05:30:40Z","title":"JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models","version":3},"reference_index":57,"source":"arxiv_source","source_observed_at":"2026-08-01T17:40:58.443704Z"},"links":{"cited_paper":"/paper/2503.04240","citing_paper":"/paper/2607.17572"},"observation_digest":"sha256:52aa644efd0dad0aedf9579d2488265baaf5df11816a9c18918b7e3a57f89004","observation_id":"dba7fea7-4de0-41d2-9b2d-8f33ac07c1f8","resolution":{"observed_at":"2026-08-01T17:40:58.443704Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2602.04663","last_updated":"2026-05-19T01:58:21Z","snapshot_observed_at":"2026-08-01T16:15:18.708677Z","submitted_at":"2026-02-04T15:36:42Z","title":"Rethinking the Design Space of Reinforcement Learning for Diffusion Models: On the Importance of Likelihood Estimation Beyond Loss Design","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2602.04663","snapshot_observed_at":"2026-08-01T17:40:58.616774Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.17572","last_updated":"2026-07-25T08:59:31Z","snapshot_observed_at":"2026-08-03T13:23:48.122079Z","submitted_at":"2026-07-20T05:30:40Z","title":"JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models","version":3},"reference_index":58,"source":"arxiv_source","source_observed_at":"2026-08-01T17:40:58.616774Z"},"links":{"cited_paper":"/paper/2602.04663","citing_paper":"/paper/2607.17572"},"observation_digest":"sha256:b2a39d1f7f94703eca952accd3149c631b5ba0b1f0b65de2e3e50706be384a31","observation_id":"07ffd5f2-de0d-462d-bbcd-b3c8181220e3","resolution":{"observed_at":"2026-08-01T17:40:58.616774Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T17:40:58.871188Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.17572","last_updated":"2026-07-25T08:59:31Z","snapshot_observed_at":"2026-08-03T13:23:48.122079Z","submitted_at":"2026-07-20T05:30:40Z","title":"JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models","version":3},"reference_index":59,"source":"arxiv_source","source_observed_at":"2026-08-01T17:40:58.871188Z"},"links":{"citing_paper":"/paper/2607.17572"},"observation_digest":"sha256:df02945d774349182e6c8e7a4ae76e7583998439f467f7902fe9343baf77f86a","observation_id":"f8bba2ab-1a03-4b3b-8658-df5aa6e23cea","resolution":{"observed_at":"2026-08-01T17:40:58.871188Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T17:40:59.021146Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.17572","last_updated":"2026-07-25T08:59:31Z","snapshot_observed_at":"2026-08-03T13:23:48.122079Z","submitted_at":"2026-07-20T05:30:40Z","title":"JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models","version":3},"reference_index":60,"source":"arxiv_source","source_observed_at":"2026-08-01T17:40:59.021146Z"},"links":{"citing_paper":"/paper/2607.17572"},"observation_digest":"sha256:7c226ec7ec904694d1d7f9463d4212450375dcfcca527157b4ebb7466e05af16","observation_id":"e4a68212-5bf2-4fef-b64e-e0ee9b73f491","resolution":{"observed_at":"2026-08-01T17:40:59.021146Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T17:40:59.203928Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.17572","last_updated":"2026-07-25T08:59:31Z","snapshot_observed_at":"2026-08-03T13:23:48.122079Z","submitted_at":"2026-07-20T05:30:40Z","title":"JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models","version":3},"reference_index":61,"source":"arxiv_source","source_observed_at":"2026-08-01T17:40:59.203928Z"},"links":{"citing_paper":"/paper/2607.17572"},"observation_digest":"sha256:837cc07017dd32dc92c626ad938873394ff03fc9e4a1540eef5beab41be10c27","observation_id":"0db23b1b-43ff-4e4d-becb-046d5e79569f","resolution":{"observed_at":"2026-08-01T17:40:59.203928Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2104.08718","last_updated":"2022-03-23T19:47:21Z","snapshot_observed_at":"2026-07-06T11:01:02.207193Z","submitted_at":"2021-04-18T05:00:29Z","title":"CLIPScore: A Reference-free Evaluation Metric for Image Captioning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2104.08718","snapshot_observed_at":"2026-08-01T17:40:59.382248Z","title":"L.; and Choi, Y","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.17572","last_updated":"2026-07-25T08:59:31Z","snapshot_observed_at":"2026-08-03T13:23:48.122079Z","submitted_at":"2026-07-20T05:30:40Z","title":"JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models","version":3},"reference_index":62,"source":"arxiv_source","source_observed_at":"2026-08-01T17:40:59.382248Z"},"links":{"cited_paper":"/paper/2104.08718","citing_paper":"/paper/2607.17572"},"observation_digest":"sha256:d64427b1c501c37844c4dd56653c360391b261bf7199c23d74f8442ae434bbcc","observation_id":"0c94564e-473d-4140-9d15-ce9e9568c894","resolution":{"observed_at":"2026-08-01T17:40:59.382248Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2006.11239","last_updated":"2020-12-16T21:15:05Z","snapshot_observed_at":"2026-07-06T09:30:47.469703Z","submitted_at":"2020-06-19T17:24:44Z","title":"Denoising Diffusion Probabilistic Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2006.11239","snapshot_observed_at":"2026-08-01T17:40:59.561344Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.17572","last_updated":"2026-07-25T08:59:31Z","snapshot_observed_at":"2026-08-03T13:23:48.122079Z","submitted_at":"2026-07-20T05:30:40Z","title":"JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models","version":3},"reference_index":63,"source":"arxiv_source","source_observed_at":"2026-08-01T17:40:59.561344Z"},"links":{"cited_paper":"/paper/2006.11239","citing_paper":"/paper/2607.17572"},"observation_digest":"sha256:0c754c727e440499a2b11b2a7820f55b4b67157c8bd0c2562fe5efda885b61a8","observation_id":"12db0aae-6aa9-4821-b98d-505d91ee1c02","resolution":{"observed_at":"2026-08-01T17:40:59.561344Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.01569","last_updated":"2023-11-23T17:07:58Z","snapshot_observed_at":"2026-08-05T16:14:24.029428Z","submitted_at":"2023-05-02T16:18:11Z","title":"Pick-a-Pic: An Open Dataset of User Preferences for Text-to-Image Generation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.01569","snapshot_observed_at":"2026-08-01T17:40:59.731517Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.17572","last_updated":"2026-07-25T08:59:31Z","snapshot_observed_at":"2026-08-03T13:23:48.122079Z","submitted_at":"2026-07-20T05:30:40Z","title":"JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models","version":3},"reference_index":64,"source":"arxiv_source","source_observed_at":"2026-08-01T17:40:59.731517Z"},"links":{"cited_paper":"/paper/2305.01569","citing_paper":"/paper/2607.17572"},"observation_digest":"sha256:79c097565bcde1b3cdb63e9018afcecb1d0818d0e6fd494b578b657a48cce4bf","observation_id":"4a2b1457-3665-4548-afc3-236eaa3c452c","resolution":{"observed_at":"2026-08-01T17:40:59.731517Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T17:40:59.936509Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.17572","last_updated":"2026-07-25T08:59:31Z","snapshot_observed_at":"2026-08-03T13:23:48.122079Z","submitted_at":"2026-07-20T05:30:40Z","title":"JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models","version":3},"reference_index":65,"source":"arxiv_source","source_observed_at":"2026-08-01T17:40:59.936509Z"},"links":{"citing_paper":"/paper/2607.17572"},"observation_digest":"sha256:04441b79c1d1d6a45679b1726765128a4026937cefe32ce7716ab90b240ba90b","observation_id":"72558d43-b0eb-44a8-a6a1-28e4d6a52714","resolution":{"observed_at":"2026-08-01T17:40:59.936509Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2506.15742","last_updated":"2025-06-24T05:31:03Z","snapshot_observed_at":"2026-07-06T21:44:22.901650Z","submitted_at":"2025-06-17T20:18:23Z","title":"FLUX.1 Kontext: Flow Matching for In-Context Image Generation and Editing in Latent Space","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.15742","snapshot_observed_at":"2026-08-01T17:41:00.073360Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.17572","last_updated":"2026-07-25T08:59:31Z","snapshot_observed_at":"2026-08-03T13:23:48.122079Z","submitted_at":"2026-07-20T05:30:40Z","title":"JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models","version":3},"reference_index":66,"source":"arxiv_source","source_observed_at":"2026-08-01T17:41:00.073360Z"},"links":{"cited_paper":"/paper/2506.15742","citing_paper":"/paper/2607.17572"},"observation_digest":"sha256:414bb867dc6af85d388af0ed04dcff4ca03feb99c524ae5a0776642640052dbd","observation_id":"1bd299a7-48bb-4c71-a56e-7a452d5bd184","resolution":{"observed_at":"2026-08-01T17:41:00.073360Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T17:41:00.246927Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.17572","last_updated":"2026-07-25T08:59:31Z","snapshot_observed_at":"2026-08-03T13:23:48.122079Z","submitted_at":"2026-07-20T05:30:40Z","title":"JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models","version":3},"reference_index":67,"source":"arxiv_source","source_observed_at":"2026-08-01T17:41:00.246927Z"},"links":{"citing_paper":"/paper/2607.17572"},"observation_digest":"sha256:e31f315c4129d2cdc648afe3c354402675ae653548a59ea7b9c632ebfab36dd9","observation_id":"cdbc372b-9078-4f2d-92fa-7a4081f3b733","resolution":{"observed_at":"2026-08-01T17:41:00.246927Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2507.21802","last_updated":"2026-03-20T17:20:12Z","snapshot_observed_at":"2026-08-01T16:12:11.335962Z","submitted_at":"2025-07-29T13:40:09Z","title":"MixGRPO: Unlocking Flow-based GRPO Efficiency with Mixed ODE-SDE","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2507.21802","snapshot_observed_at":"2026-08-01T17:41:00.353583Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.17572","last_updated":"2026-07-25T08:59:31Z","snapshot_observed_at":"2026-08-03T13:23:48.122079Z","submitted_at":"2026-07-20T05:30:40Z","title":"JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models","version":3},"reference_index":68,"source":"arxiv_source","source_observed_at":"2026-08-01T17:41:00.353583Z"},"links":{"cited_paper":"/paper/2507.21802","citing_paper":"/paper/2607.17572"},"observation_digest":"sha256:8d1599aaf0fdce7e8246cdc7b903c24d3b0d526d30cfb42d526906f893869a52","observation_id":"d44aa620-02de-4478-9c35-374604cc2efd","resolution":{"observed_at":"2026-08-01T17:41:00.353583Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T17:41:00.440808Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.17572","last_updated":"2026-07-25T08:59:31Z","snapshot_observed_at":"2026-08-03T13:23:48.122079Z","submitted_at":"2026-07-20T05:30:40Z","title":"JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models","version":3},"reference_index":69,"source":"arxiv_source","source_observed_at":"2026-08-01T17:41:00.440808Z"},"links":{"citing_paper":"/paper/2607.17572"},"observation_digest":"sha256:fe2dec2eecbf1a7e2a44d91050136685dc47f6a518a9b32292ce5d4384253e9d","observation_id":"06c8b6b8-dd9e-4f5d-89e5-75cf75df7dbb","resolution":{"observed_at":"2026-08-01T17:41:00.440808Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.05470","last_updated":"2025-10-27T09:57:02Z","snapshot_observed_at":"2026-08-06T11:11:00.378627Z","submitted_at":"2025-05-08T17:58:45Z","title":"Flow-GRPO: Training Flow Matching Models via Online RL","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.05470","snapshot_observed_at":"2026-08-01T17:41:00.556942Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.17572","last_updated":"2026-07-25T08:59:31Z","snapshot_observed_at":"2026-08-03T13:23:48.122079Z","submitted_at":"2026-07-20T05:30:40Z","title":"JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models","version":3},"reference_index":70,"source":"arxiv_source","source_observed_at":"2026-08-01T17:41:00.556942Z"},"links":{"cited_paper":"/paper/2505.05470","citing_paper":"/paper/2607.17572"},"observation_digest":"sha256:9d77e06cb9f67975f8b4e6da4f4a3109219d63c62cf23da98bc961a5371620a7","observation_id":"345dce7b-a87f-4072-826e-967671943ce6","resolution":{"observed_at":"2026-08-01T17:41:00.556942Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T17:41:00.685994Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.17572","last_updated":"2026-07-25T08:59:31Z","snapshot_observed_at":"2026-08-03T13:23:48.122079Z","submitted_at":"2026-07-20T05:30:40Z","title":"JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models","version":3},"reference_index":71,"source":"arxiv_source","source_observed_at":"2026-08-01T17:41:00.685994Z"},"links":{"citing_paper":"/paper/2607.17572"},"observation_digest":"sha256:0a32f9dec9836e9bfc592ad130668ec7894a30c25cdc0c9b88325f64193aff4d","observation_id":"2a12f02a-73b9-45bd-a5b0-6e8474d63ec6","resolution":{"observed_at":"2026-08-01T17:41:00.685994Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.06923","last_updated":"2025-08-11T14:15:27Z","snapshot_observed_at":"2026-08-06T00:31:29.273721Z","submitted_at":"2025-03-10T05:09:42Z","title":"From Reusing to Forecasting: Accelerating Diffusion Models with TaylorSeers","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.06923","snapshot_observed_at":"2026-08-01T17:41:00.897682Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.17572","last_updated":"2026-07-25T08:59:31Z","snapshot_observed_at":"2026-08-03T13:23:48.122079Z","submitted_at":"2026-07-20T05:30:40Z","title":"JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models","version":3},"reference_index":72,"source":"arxiv_source","source_observed_at":"2026-08-01T17:41:00.897682Z"},"links":{"cited_paper":"/paper/2503.06923","citing_paper":"/paper/2607.17572"},"observation_digest":"sha256:4b49fcc9fb219f9cb6735456048214fb8709acfd183dec43c3ed13caa6248b33","observation_id":"af3a0e18-3b64-4a10-86a4-00bae41edc90","resolution":{"observed_at":"2026-08-01T17:41:00.897682Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2209.03003","last_updated":"2022-09-07T08:59:55Z","snapshot_observed_at":"2026-07-06T13:49:40.974495Z","submitted_at":"2022-09-07T08:59:55Z","title":"Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2209.03003","snapshot_observed_at":"2026-08-01T17:41:01.058437Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.17572","last_updated":"2026-07-25T08:59:31Z","snapshot_observed_at":"2026-08-03T13:23:48.122079Z","submitted_at":"2026-07-20T05:30:40Z","title":"JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models","version":3},"reference_index":73,"source":"arxiv_source","source_observed_at":"2026-08-01T17:41:01.058437Z"},"links":{"cited_paper":"/paper/2209.03003","citing_paper":"/paper/2607.17572"},"observation_digest":"sha256:ead2f1841144c94d1d75b6dc3cf536081c247ea933df7ba7057dc93d1dce8bab","observation_id":"44a787b7-64ad-4c27-a060-bbbb11c4d539","resolution":{"observed_at":"2026-08-01T17:41:01.058437Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T17:41:01.177914Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.17572","last_updated":"2026-07-25T08:59:31Z","snapshot_observed_at":"2026-08-03T13:23:48.122079Z","submitted_at":"2026-07-20T05:30:40Z","title":"JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models","version":3},"reference_index":74,"source":"arxiv_source","source_observed_at":"2026-08-01T17:41:01.177914Z"},"links":{"citing_paper":"/paper/2607.17572"},"observation_digest":"sha256:0d886ad357d0709913bba23819994553b84a2308f348ae1d4cbe69670a40a8a9","observation_id":"21ea8f69-777e-46e8-9916-dba435530969","resolution":{"observed_at":"2026-08-01T17:41:01.177914Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T17:41:01.294532Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.17572","last_updated":"2026-07-25T08:59:31Z","snapshot_observed_at":"2026-08-03T13:23:48.122079Z","submitted_at":"2026-07-20T05:30:40Z","title":"JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models","version":3},"reference_index":75,"source":"arxiv_source","source_observed_at":"2026-08-01T17:41:01.294532Z"},"links":{"citing_paper":"/paper/2607.17572"},"observation_digest":"sha256:73c1f2b37a769b1125eadd4103439150524038567c450d87e3ba37e28339c8c8","observation_id":"12861582-f4eb-4622-8146-b9cdca8233df","resolution":{"observed_at":"2026-08-01T17:41:01.294532Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T17:41:01.464391Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.17572","last_updated":"2026-07-25T08:59:31Z","snapshot_observed_at":"2026-08-03T13:23:48.122079Z","submitted_at":"2026-07-20T05:30:40Z","title":"JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models","version":3},"reference_index":76,"source":"arxiv_source","source_observed_at":"2026-08-01T17:41:01.464391Z"},"links":{"citing_paper":"/paper/2607.17572"},"observation_digest":"sha256:0952d0a512528b173521c383f65f5d523cabd4871389d2212bcdc9894d8b41c9","observation_id":"7914c9a8-7b1a-4298-8ef0-cc8794a58555","resolution":{"observed_at":"2026-08-01T17:41:01.464391Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T17:41:01.591913Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.17572","last_updated":"2026-07-25T08:59:31Z","snapshot_observed_at":"2026-08-03T13:23:48.122079Z","submitted_at":"2026-07-20T05:30:40Z","title":"JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models","version":3},"reference_index":77,"source":"arxiv_source","source_observed_at":"2026-08-01T17:41:01.591913Z"},"links":{"citing_paper":"/paper/2607.17572"},"observation_digest":"sha256:ff3c1cfbf852a2394dbabba59befa5deba89b397768f240df9e804372d76afd5","observation_id":"ddf73d39-d60f-4e77-bd2d-b02da990220b","resolution":{"observed_at":"2026-08-01T17:41:01.591913Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T17:41:01.716091Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.17572","last_updated":"2026-07-25T08:59:31Z","snapshot_observed_at":"2026-08-03T13:23:48.122079Z","submitted_at":"2026-07-20T05:30:40Z","title":"JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models","version":3},"reference_index":78,"source":"arxiv_source","source_observed_at":"2026-08-01T17:41:01.716091Z"},"links":{"citing_paper":"/paper/2607.17572"},"observation_digest":"sha256:badac1a5e2fa82fb12b1ed468d45f8d85516903f3c3cbc9beb4b9c912fa0b859","observation_id":"757093f3-550c-4686-bd63-b51e17734c0a","resolution":{"observed_at":"2026-08-01T17:41:01.716091Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.03300","last_updated":"2024-04-27T15:25:53Z","snapshot_observed_at":"2026-08-06T14:58:42.911363Z","submitted_at":"2024-02-05T18:55:32Z","title":"DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.03300","snapshot_observed_at":"2026-08-01T17:41:01.838679Z","title":"K.; Wu, Y.; and Guo, D","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.17572","last_updated":"2026-07-25T08:59:31Z","snapshot_observed_at":"2026-08-03T13:23:48.122079Z","submitted_at":"2026-07-20T05:30:40Z","title":"JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models","version":3},"reference_index":79,"source":"arxiv_source","source_observed_at":"2026-08-01T17:41:01.838679Z"},"links":{"cited_paper":"/paper/2402.03300","citing_paper":"/paper/2607.17572"},"observation_digest":"sha256:8b3a116b662b40181c83a0284c4afded530305ac43486e7946daf50c54f9b1ab","observation_id":"207c5aaa-d2ff-40bd-baf6-2527f4a601f6","resolution":{"observed_at":"2026-08-01T17:41:01.838679Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2010.02502","last_updated":"2022-10-05T20:19:21Z","snapshot_observed_at":"2026-07-06T10:01:50.133383Z","submitted_at":"2020-10-06T06:15:51Z","title":"Denoising Diffusion Implicit Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.02502","snapshot_observed_at":"2026-08-01T17:41:01.924780Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.17572","last_updated":"2026-07-25T08:59:31Z","snapshot_observed_at":"2026-08-03T13:23:48.122079Z","submitted_at":"2026-07-20T05:30:40Z","title":"JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models","version":3},"reference_index":80,"source":"arxiv_source","source_observed_at":"2026-08-01T17:41:01.924780Z"},"links":{"cited_paper":"/paper/2010.02502","citing_paper":"/paper/2607.17572"},"observation_digest":"sha256:3af8abbb07e03c1905b7dae65f38c37de8e1987c24fe67f5d9ae91fcf12a012b","observation_id":"800f9936-92a3-425f-9a7d-12cf255cc90b","resolution":{"observed_at":"2026-08-01T17:41:01.924780Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2604.23380","last_updated":"2026-04-25T17:03:21Z","snapshot_observed_at":"2026-07-06T23:09:38.799345Z","submitted_at":"2026-04-25T17:03:21Z","title":"V-GRPO: Online Reinforcement Learning for Denoising Generative Models Is Easier than You Think","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2604.23380","snapshot_observed_at":"2026-08-01T17:41:02.043705Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.17572","last_updated":"2026-07-25T08:59:31Z","snapshot_observed_at":"2026-08-03T13:23:48.122079Z","submitted_at":"2026-07-20T05:30:40Z","title":"JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models","version":3},"reference_index":81,"source":"arxiv_source","source_observed_at":"2026-08-01T17:41:02.043705Z"},"links":{"cited_paper":"/paper/2604.23380","citing_paper":"/paper/2607.17572"},"observation_digest":"sha256:212078480dc58a27337941b2a87e828cfb4be1909eaa1927262d4bc66ffc22f6","observation_id":"0e7c3558-955d-4889-bcc6-744fd894371b","resolution":{"observed_at":"2026-08-01T17:41:02.043705Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2604.18518","last_updated":"2026-05-28T03:18:18Z","snapshot_observed_at":"2026-07-06T23:05:21.974248Z","submitted_at":"2026-04-20T17:16:50Z","title":"UDM-GRPO: Stable and Efficient Group Relative Policy Optimization for Uniform Discrete Diffusion Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2604.18518","snapshot_observed_at":"2026-08-01T17:41:02.166858Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.17572","last_updated":"2026-07-25T08:59:31Z","snapshot_observed_at":"2026-08-03T13:23:48.122079Z","submitted_at":"2026-07-20T05:30:40Z","title":"JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models","version":3},"reference_index":82,"source":"arxiv_source","source_observed_at":"2026-08-01T17:41:02.166858Z"},"links":{"cited_paper":"/paper/2604.18518","citing_paper":"/paper/2607.17572"},"observation_digest":"sha256:7086132402d03ba686fb6560c4072d761d75b58e63b7cedcc954ccb2ace0386d","observation_id":"50e745f9-0b7f-49ca-8b64-8b9f8b5e197f","resolution":{"observed_at":"2026-08-01T17:41:02.166858Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T17:41:02.276454Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.17572","last_updated":"2026-07-25T08:59:31Z","snapshot_observed_at":"2026-08-03T13:23:48.122079Z","submitted_at":"2026-07-20T05:30:40Z","title":"JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models","version":3},"reference_index":83,"source":"arxiv_source","source_observed_at":"2026-08-01T17:41:02.276454Z"},"links":{"citing_paper":"/paper/2607.17572"},"observation_digest":"sha256:f22a603c5f44266e07442fd3c17626d814c626da8081439f535869bf26968000","observation_id":"52a36ce6-f29f-4703-973b-42b95899a319","resolution":{"observed_at":"2026-08-01T17:41:02.276454Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2604.28123","last_updated":"2026-06-29T08:05:16Z","snapshot_observed_at":"2026-08-02T06:35:27.322972Z","submitted_at":"2026-04-30T17:12:53Z","title":"Beyond SFT-to-RL: Pre-alignment via Black-Box On-Policy Distillation for Multimodal RL","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2604.28123","snapshot_observed_at":"2026-08-01T17:41:02.499008Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.17572","last_updated":"2026-07-25T08:59:31Z","snapshot_observed_at":"2026-08-03T13:23:48.122079Z","submitted_at":"2026-07-20T05:30:40Z","title":"JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models","version":3},"reference_index":84,"source":"arxiv_source","source_observed_at":"2026-08-01T17:41:02.499008Z"},"links":{"cited_paper":"/paper/2604.28123","citing_paper":"/paper/2607.17572"},"observation_digest":"sha256:ff8a19b7de8d0a1d663d0cdda875a3cff1f2cd6b355d6c75cdc2322ebfee3904","observation_id":"9df066f1-39af-42f0-8258-929514611308","resolution":{"observed_at":"2026-08-01T17:41:02.499008Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2508.02324","last_updated":"2025-08-04T11:49:20Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-08-04T11:49:20Z","title":"Qwen-Image Technical Report","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2508.02324","snapshot_observed_at":"2026-08-01T17:41:02.666408Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.17572","last_updated":"2026-07-25T08:59:31Z","snapshot_observed_at":"2026-08-03T13:23:48.122079Z","submitted_at":"2026-07-20T05:30:40Z","title":"JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models","version":3},"reference_index":85,"source":"arxiv_source","source_observed_at":"2026-08-01T17:41:02.666408Z"},"links":{"cited_paper":"/paper/2508.02324","citing_paper":"/paper/2607.17572"},"observation_digest":"sha256:c245a0b6008b3abd682e3197fb3c3cca9c4ca2f59e29085e17fd7cbf82254c33","observation_id":"38ab9b48-aaca-4197-a9d6-02a38bcbc271","resolution":{"observed_at":"2026-08-01T17:41:02.666408Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.09341","last_updated":"2023-09-25T08:19:23Z","snapshot_observed_at":"2026-07-06T15:43:07.989730Z","submitted_at":"2023-06-15T17:59:31Z","title":"Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.09341","snapshot_observed_at":"2026-08-01T17:41:02.927983Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.17572","last_updated":"2026-07-25T08:59:31Z","snapshot_observed_at":"2026-08-03T13:23:48.122079Z","submitted_at":"2026-07-20T05:30:40Z","title":"JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models","version":3},"reference_index":86,"source":"arxiv_source","source_observed_at":"2026-08-01T17:41:02.927983Z"},"links":{"cited_paper":"/paper/2306.09341","citing_paper":"/paper/2607.17572"},"observation_digest":"sha256:89a0ef41e73e8a5358284613b25333fcf7497c0bd7936b8714026b6a6c45ba7f","observation_id":"ddc78491-ef7a-43ca-8f3d-2c5f96f86db1","resolution":{"observed_at":"2026-08-01T17:41:02.927983Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T17:41:03.106290Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.17572","last_updated":"2026-07-25T08:59:31Z","snapshot_observed_at":"2026-08-03T13:23:48.122079Z","submitted_at":"2026-07-20T05:30:40Z","title":"JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models","version":3},"reference_index":87,"source":"arxiv_source","source_observed_at":"2026-08-01T17:41:03.106290Z"},"links":{"citing_paper":"/paper/2607.17572"},"observation_digest":"sha256:aecc41ba3a02f4ffefed4adbdac4d2838dbe0a49c89998d2fb4aa6e011f1ad45","observation_id":"aefae780-1c6d-45a5-8c21-f66b9b1144e9","resolution":{"observed_at":"2026-08-01T17:41:03.106290Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.07818","last_updated":"2025-08-28T17:19:45Z","snapshot_observed_at":"2026-07-31T14:51:03.625964Z","submitted_at":"2025-05-12T17:59:34Z","title":"DanceGRPO: Unleashing GRPO on Visual Generation","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.07818","snapshot_observed_at":"2026-08-01T17:41:03.253365Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.17572","last_updated":"2026-07-25T08:59:31Z","snapshot_observed_at":"2026-08-03T13:23:48.122079Z","submitted_at":"2026-07-20T05:30:40Z","title":"JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models","version":3},"reference_index":88,"source":"arxiv_source","source_observed_at":"2026-08-01T17:41:03.253365Z"},"links":{"cited_paper":"/paper/2505.07818","citing_paper":"/paper/2607.17572"},"observation_digest":"sha256:9faba50dc9a78a00f70dd1ccf4d4fc08251830b910e12f1ce95a270e101103ce","observation_id":"43fdfd39-5046-4aa2-8949-557337c19d67","resolution":{"observed_at":"2026-08-01T17:41:03.253365Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2508.06924","last_updated":"2025-08-09T10:37:26Z","snapshot_observed_at":"2026-08-05T22:28:00.444639Z","submitted_at":"2025-08-09T10:37:26Z","title":"AR-GRPO: Training Autoregressive Image Generation Models via Reinforcement Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2508.06924","snapshot_observed_at":"2026-08-01T17:41:03.368705Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.17572","last_updated":"2026-07-25T08:59:31Z","snapshot_observed_at":"2026-08-03T13:23:48.122079Z","submitted_at":"2026-07-20T05:30:40Z","title":"JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models","version":3},"reference_index":89,"source":"arxiv_source","source_observed_at":"2026-08-01T17:41:03.368705Z"},"links":{"cited_paper":"/paper/2508.06924","citing_paper":"/paper/2607.17572"},"observation_digest":"sha256:fc6149c8054cd6edd6a6761695ef44797feb13fdf80aeddcf76c775fd198f1e5","observation_id":"30356f5c-f040-403e-a18b-13a3670ba30e","resolution":{"observed_at":"2026-08-01T17:41:03.368705Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T17:41:03.466658Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.17572","last_updated":"2026-07-25T08:59:31Z","snapshot_observed_at":"2026-08-03T13:23:48.122079Z","submitted_at":"2026-07-20T05:30:40Z","title":"JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models","version":3},"reference_index":90,"source":"arxiv_source","source_observed_at":"2026-08-01T17:41:03.466658Z"},"links":{"citing_paper":"/paper/2607.17572"},"observation_digest":"sha256:1e679571a1da32503c4e9321a12da173d252b8a7c91021030db9c7893172d191","observation_id":"66c26607-55c2-4df5-9cf7-8bba67310b2f","resolution":{"observed_at":"2026-08-01T17:41:03.466658Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2509.08827","last_updated":"2025-10-09T17:08:52Z","snapshot_observed_at":"2026-08-06T15:38:05.011922Z","submitted_at":"2025-09-10T17:59:43Z","title":"A Survey of Reinforcement Learning for Large Reasoning Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2509.08827","snapshot_observed_at":"2026-08-01T17:41:03.547848Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.17572","last_updated":"2026-07-25T08:59:31Z","snapshot_observed_at":"2026-08-03T13:23:48.122079Z","submitted_at":"2026-07-20T05:30:40Z","title":"JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models","version":3},"reference_index":91,"source":"arxiv_source","source_observed_at":"2026-08-01T17:41:03.547848Z"},"links":{"cited_paper":"/paper/2509.08827","citing_paper":"/paper/2607.17572"},"observation_digest":"sha256:d527fd9f89e76da19be689e167dc7cac50b155a515773fa371fa2016a0f542fb","observation_id":"41fabe27-66c3-4097-83b9-af38cb9b9082","resolution":{"observed_at":"2026-08-01T17:41:03.547848Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2509.10396","last_updated":"2025-09-12T16:44:31Z","snapshot_observed_at":"2026-08-04T17:57:38.684690Z","submitted_at":"2025-09-12T16:44:31Z","title":"Inpainting-Guided Policy Optimization for Diffusion Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2509.10396","snapshot_observed_at":"2026-08-01T17:41:03.662756Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.17572","last_updated":"2026-07-25T08:59:31Z","snapshot_observed_at":"2026-08-03T13:23:48.122079Z","submitted_at":"2026-07-20T05:30:40Z","title":"JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models","version":3},"reference_index":92,"source":"arxiv_source","source_observed_at":"2026-08-01T17:41:03.662756Z"},"links":{"cited_paper":"/paper/2509.10396","citing_paper":"/paper/2607.17572"},"observation_digest":"sha256:f0ae827cb7139d2a70f548f3a2acff577e7d80f643c36507227715dbdee5f103","observation_id":"90549081-0beb-49b1-8a9e-c03dc016a687","resolution":{"observed_at":"2026-08-01T17:41:03.662756Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.12588","last_updated":"2025-02-27T07:00:30Z","snapshot_observed_at":"2026-07-06T19:04:43.716629Z","submitted_at":"2024-08-22T17:54:21Z","title":"Real-Time Video Generation with Pyramid Attention Broadcast","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.12588","snapshot_observed_at":"2026-08-01T17:41:03.776113Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.17572","last_updated":"2026-07-25T08:59:31Z","snapshot_observed_at":"2026-08-03T13:23:48.122079Z","submitted_at":"2026-07-20T05:30:40Z","title":"JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models","version":3},"reference_index":93,"source":"arxiv_source","source_observed_at":"2026-08-01T17:41:03.776113Z"},"links":{"cited_paper":"/paper/2408.12588","citing_paper":"/paper/2607.17572"},"observation_digest":"sha256:c21e66ebcbfdafbc79db8a76f9bd5e310b805a0eabd8d3324c3f5f8ef38e6ff8","observation_id":"64fb3c06-070c-44dc-bdec-10ebe130ec50","resolution":{"observed_at":"2026-08-01T17:41:03.776113Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2509.16117","last_updated":"2026-02-16T17:14:06Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-09-19T16:09:33Z","title":"DiffusionNFT: Online Diffusion Reinforcement with Forward Process","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2509.16117","snapshot_observed_at":"2026-08-01T17:41:03.898241Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.17572","last_updated":"2026-07-25T08:59:31Z","snapshot_observed_at":"2026-08-03T13:23:48.122079Z","submitted_at":"2026-07-20T05:30:40Z","title":"JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models","version":3},"reference_index":94,"source":"arxiv_source","source_observed_at":"2026-08-01T17:41:03.898241Z"},"links":{"cited_paper":"/paper/2509.16117","citing_paper":"/paper/2607.17572"},"observation_digest":"sha256:595bb1f652d3fc1b3ed92627a6918335bbe2dd3aa7e6564933c45d9066531e97","observation_id":"98ddbe36-96fe-4644-9b66-9659f186cfbb","resolution":{"observed_at":"2026-08-01T17:41:03.898241Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T17:41:04.126679Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.17572","last_updated":"2026-07-25T08:59:31Z","snapshot_observed_at":"2026-08-03T13:23:48.122079Z","submitted_at":"2026-07-20T05:30:40Z","title":"JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models","version":3},"reference_index":95,"source":"arxiv_source","source_observed_at":"2026-08-01T17:41:04.126679Z"},"links":{"citing_paper":"/paper/2607.17572"},"observation_digest":"sha256:4c336b9fd8637271134ad2a9481853a83f93499f6fd2ec34b5601e0e906e09bf","observation_id":"13b3d588-d984-468b-9113-4f30d46ef890","resolution":{"observed_at":"2026-08-01T17:41:04.126679Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T17:41:04.198498Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.17572","last_updated":"2026-07-25T08:59:31Z","snapshot_observed_at":"2026-08-03T13:23:48.122079Z","submitted_at":"2026-07-20T05:30:40Z","title":"JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models","version":3},"reference_index":96,"source":"arxiv_source","source_observed_at":"2026-08-01T17:41:04.198498Z"},"links":{"citing_paper":"/paper/2607.17572"},"observation_digest":"sha256:f9024c1c90d5007f07de292e0af5e204b138e52f3caa295767b2bf6f37e70ed3","observation_id":"d89125a2-ce5b-4dc6-a275-802c57b5595a","resolution":{"observed_at":"2026-08-01T17:41:04.198498Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.01223","last_updated":"2024-02-23T14:42:57Z","snapshot_observed_at":"2026-07-06T16:42:12.176043Z","submitted_at":"2023-11-02T13:23:39Z","title":"Diffusion Models for Reinforcement Learning: A Survey","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.01223","snapshot_observed_at":"2026-08-01T17:41:04.258735Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.17572","last_updated":"2026-07-25T08:59:31Z","snapshot_observed_at":"2026-08-03T13:23:48.122079Z","submitted_at":"2026-07-20T05:30:40Z","title":"JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models","version":3},"reference_index":97,"source":"arxiv_source","source_observed_at":"2026-08-01T17:41:04.258735Z"},"links":{"cited_paper":"/paper/2311.01223","citing_paper":"/paper/2607.17572"},"observation_digest":"sha256:bb7a49dc8dd18f546d7fa3e0ac0ef50e98239a2e699d44fc01d6d550702896cb","observation_id":"7fda30b7-b65e-4380-9d25-efe1ee9adb08","resolution":{"observed_at":"2026-08-01T17:41:04.258735Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2607.17572","last_updated":"2026-07-25T08:59:31Z","latest_version":3,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-03T13:23:48.122079Z","submitted_at":"2026-07-20T05:30:40Z","title":"JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models"},"reference_resolution":{"displayed":97,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":96,"verified_exact":1,"verified_fuzzy":0},"total_outbound_references":97},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 97 of 97 outbound references and 0 inbound Pith citation observations for arXiv:2607.17572."}