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Paper Citation Record · LEDGER

JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models

As of 6 August 2026, this Paper Citation Record lists 97 of 97 outbound references and 0 inbound Pith citation observations for arXiv:2607.17572.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2607.17572 v3

Coverage vector

measured 97 of 97 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T17:41:04.258735Z

measured 97 of 97 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

97 of 97 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved96
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 32be5ac9-6976-43d6-bae0-ce5505e35fb7 · outbound

This paper cites 2024 , eprint=.

JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models 2024 , eprint=

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T17:40:52.866482Z digest=sha256:c482bb8cfd7c5d6fdc0ceec5550dc772e2d74abadb9cdd81969040e77133bfbe

Observation 276d07f7-cdb4-4ad4-ba62-238251b07ffc · outbound

This paper cites 2026 , eprint=.

JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models 2026 , eprint=

Reference 2

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source=arxiv_source observed=2026-08-01T17:40:52.950380Z digest=sha256:b970b1dadd012044bceb3922ce3611f8288ed673658bc8ec6c3b3e53144b1e53

Observation febf29ee-9fec-4ea6-90d4-2b53ea078270 · outbound

This paper cites 2026 , eprint=.

JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models 2026 , eprint=

Reference 3

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T17:40:53.024795Z digest=sha256:d25fb217ac0b0611ee99d5c1257373014c503848235df2272b65180382157cae

Observation c8c95e3e-4228-4dd8-95c3-fef0444e9dd6 · outbound

This paper cites 2025 , eprint=.

JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models 2025 , eprint=

Reference 4

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source=arxiv_source observed=2026-08-01T17:40:53.082837Z digest=sha256:65f6186693daffc731e5dd40be35e44e978776b39e8c793a19a38da24b6534f9

Observation 18e35bbf-715a-4978-bb59-595ed1ba559c · outbound

This paper cites 2025 , eprint=.

JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models 2025 , eprint=

Reference 5

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source=arxiv_source observed=2026-08-01T17:40:53.174356Z digest=sha256:83631f5f2313d5373682b40ee5fbd78ba93075378131ce4d445a74e22a3cd969

Observation 5279fa82-1e56-429f-9f2a-fbaf9a8af527 · outbound

This paper cites 2020 , eprint=.

JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models 2020 , eprint=

Reference 6

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source=arxiv_source observed=2026-08-01T17:40:53.248765Z digest=sha256:95356b56f39adaf56c74fc7b50d0e426fbe580f3718f5ebee7ba026d89669182

Observation 7771282a-3c85-48b0-ae30-57194fb416d3 · outbound

This paper cites 2022 , eprint=.

JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models 2022 , eprint=

Reference 7

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source=arxiv_source observed=2026-08-01T17:40:53.313679Z digest=sha256:2f33cbcda3700aaedaf3ad0a92f5badde0ea8653996521a34b6441eac8d8853b

Observation efbcfd6f-90d6-4d80-b663-285739997b4e · outbound

This paper cites 2022 , eprint=.

JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models 2022 , eprint=

Reference 8

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T17:40:53.385627Z digest=sha256:85ee0c87072c7dba0c7e16bdd23891cfe863bcfac9e2801ae7f3667d6b14850c

Observation 79effb06-8ac1-4fc0-9038-68e5944483e7 · outbound

This paper cites 2024 , eprint=.

JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models 2024 , eprint=

Reference 9

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source=arxiv_source observed=2026-08-01T17:40:53.431577Z digest=sha256:b2aafaacbe292384a8f4ef24d65cdfd87686019082a95f1bb252a8f6e4325864

Observation 79c1679a-f6c8-4d71-83db-df4d5b77c115 · outbound

This paper cites Enhancing Deep Reinforcement Learning: A Tutorial on Generative Diffusion Models in Network Optimization , year=.

JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models Enhancing Deep Reinforcement Learning: A Tutorial on Generative Diffusion Models in Network Optimization , year=

Reference 10

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source=arxiv_source observed=2026-08-01T17:40:53.472367Z digest=sha256:1ccab01c5437656d1dc02971d274fc152be75a00f2cd86fa1b96ce94c90a6881

Observation 53a73c3e-7f10-432e-b5e8-24d22558f7de · outbound

This paper cites 2024 , eprint=.

JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models 2024 , eprint=

Reference 11

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source=arxiv_source observed=2026-08-01T17:40:53.545728Z digest=sha256:3c6e8a3e551ac09ac98ec2de57a706838f06aafcbb4e24d6cab23112493e8940

Observation d9cc39ff-a9fa-4ccd-a47c-83fb22bf2d01 · outbound

This paper cites DPOK: Reinforcement Learning for Fine-tuning Text-to-Image Diffusion Models , url =.

JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models DPOK: Reinforcement Learning for Fine-tuning Text-to-Image Diffusion Models , url =

Reference 12

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source=arxiv_source observed=2026-08-01T17:40:53.620386Z digest=sha256:0f4c2631ff5bd7240292c75908aaf2d309d89f9194fc036847339bd52b0505e9

Observation dc009443-cef9-42ea-88f6-4b1fb194a189 · outbound

This paper cites 2025 , eprint=.

JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models 2025 , eprint=

Reference 13

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source=arxiv_source observed=2026-08-01T17:40:53.683868Z digest=sha256:47f3057f616173663bfb0891834ddddf27b90c398729e9b895d59e52597fbe45

Observation f8c0a300-970f-40fa-b6ec-0de73a2f0b79 · outbound

This paper cites DiffPPO: Reinforcement Learning Fine-Tuning of Diffusion Models for Text-to-Image Generation , year=.

JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models DiffPPO: Reinforcement Learning Fine-Tuning of Diffusion Models for Text-to-Image Generation , year=

Reference 14

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source=arxiv_source observed=2026-08-01T17:40:53.759453Z digest=sha256:a271eaec2f5e77b7810932481d6f8d306f88b4d9952718319283cc5f3da5e084

Observation 7839f8eb-e5a3-4960-81ca-50c9b4f69f34 · outbound

This paper cites Computer Vision – ECCV 2024: 18th European Conference, Milan, Italy, September 29–October 4, 2024, Proceedings, Part XXV , pages =.

JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models Computer Vision – ECCV 2024: 18th European Conference, Milan, Italy, September 29–October 4, 2024, Proceedings, Part XXV , pages =

Reference 15

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doi, observed 2026-08-01T17:43:23.633181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-08-01T17:40:53.833726Z digest=sha256:dca2cac60ca1e87eb1068f57972a363e4b1793d492682a1d4f8b8fa416526d77

Observation 06958d25-45d8-4230-b004-511242713a8c · outbound

This paper cites Training Diffusion Models Towards Diverse Image Generation with Reinforcement Learning , year=.

JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models Training Diffusion Models Towards Diverse Image Generation with Reinforcement Learning , year=

Reference 16

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source=arxiv_source observed=2026-08-01T17:40:53.915318Z digest=sha256:6ad2c77eda8f19a94ed9e593010f78f1b81cb83a4f7fe8890ad49abcb3ce7fbf

Observation c4c46bae-aede-4158-a433-016c50f54012 · outbound

This paper cites 2025 , eprint=.

JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models 2025 , eprint=

Reference 17

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source=arxiv_source observed=2026-08-01T17:40:53.976758Z digest=sha256:5291b2fd34c1182485bf1caa0a905c51f28b34dc9a113a377269f71bfcd95d0d

Observation 52e45bfc-ed10-4aaf-ae43-20d574288305 · outbound

This paper cites 2023 , eprint=.

JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models 2023 , eprint=

Reference 18

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source=arxiv_source observed=2026-08-01T17:40:54.031271Z digest=sha256:2d38d19b7a5e0759f5c38311d09c108934c409a4b2dfc5c7486c5b16f86b97d3

Observation a98590b2-e3ea-48a3-a128-d260da3d81f7 · outbound

This paper cites 2026 , eprint=.

JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models 2026 , eprint=

Reference 19

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source=arxiv_source observed=2026-08-01T17:40:54.086617Z digest=sha256:460b8bc3da40397c991a7579aa9f735d3f5785c3c48a7148c6dce1d306b6ba91

Observation 6e77edc1-477b-4894-b787-18fae7ca5343 · outbound

This paper cites 2025 , eprint=.

JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models 2025 , eprint=

Reference 20

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source=arxiv_source observed=2026-08-01T17:40:54.180252Z digest=sha256:f65d0d0afed2cee23db5faedc15a7a42529743d44f15433176e532d87bfb1710

Observation 28e16fa9-20ce-4432-b9cc-962c087dc624 · outbound

This paper cites 2026 , eprint=.

JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models 2026 , eprint=

Reference 21

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source=arxiv_source observed=2026-08-01T17:40:54.231936Z digest=sha256:3b78b268f8f1e2c24f737bf70775702bd22f663e18de1b50eba7ce2652b290fe

Observation 20b3e8a4-beaa-40b6-aabd-c78faa609b7f · outbound

This paper cites 2026 , eprint=.

JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models 2026 , eprint=

Reference 22

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source=arxiv_source observed=2026-08-01T17:40:54.294262Z digest=sha256:c1efbc8bfa75443a0f084c4f7b4436a45fc0875b9c65f6128added78d6f1ec3f

Observation ce2015d3-a2f2-42e5-a6a3-dae96c26dec8 · outbound

This paper cites 2025 , eprint=.

JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models 2025 , eprint=

Reference 23

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source=arxiv_source observed=2026-08-01T17:40:54.352085Z digest=sha256:500772b5b9773f8cb638c2fc8edad0b1d0f451822cb9511a35c7a5e143a903f1

Observation 0208ad66-e43f-49e6-8840-b93facb4cd50 · outbound

This paper cites 2026 , eprint=.

JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models 2026 , eprint=

Reference 24

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source=arxiv_source observed=2026-08-01T17:40:54.423151Z digest=sha256:e4cf6e372866ac89cb720db6ad99a0e9bee7b36da865261c6cb459482fa0299a

Observation 1d20eead-18a5-435d-8b31-344152d15db7 · outbound

This paper cites 2025 , eprint=.

JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models 2025 , eprint=

Reference 25

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source=arxiv_source observed=2026-08-01T17:40:54.500244Z digest=sha256:4b933ae892181ca06cbcbe79758225fad7d8a2c879382b81ca03396a1415afcf

Observation 44da4ca2-66d3-44f0-ac33-35fd69b5890a · outbound

This paper cites 2026 , eprint=.

JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models 2026 , eprint=

Reference 26

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source=arxiv_source observed=2026-08-01T17:40:54.558901Z digest=sha256:46176cecc3680fbe78bf27ab217a7aa00e0c0fb4dda292cba42b01860ec7d5d9

Observation 327c704f-6206-4bc4-91c6-975ddc392653 · outbound

This paper cites 2025 , eprint=.

JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models 2025 , eprint=

Reference 27

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source=arxiv_source observed=2026-08-01T17:40:54.649247Z digest=sha256:561a4862d0a36b11b79d4741f521cb6dd4922b7e03f5dee58b1bb0b96dcbe254

Observation e67ca6b4-3701-475b-820d-b4162c08d60b · outbound

This paper cites 2026 , eprint=.

JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models 2026 , eprint=

Reference 28

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source=arxiv_source observed=2026-08-01T17:40:54.723545Z digest=sha256:78b650cbe27f4a33b1e0651498a9489dbc67c671c2b2ec422518ad0d76b95593

Observation c0f52353-6aa5-4a00-be58-73e872eee561 · outbound

This paper cites 2026 , eprint=.

JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models 2026 , eprint=

Reference 29

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source=arxiv_source observed=2026-08-01T17:40:54.764892Z digest=sha256:b61285fcd56d6430edac9d91ccfc5e0f6a53e11f54a7f466aa84f7f72a500cb3

Observation 1be0cf9a-d7e8-4ece-86ed-9767e1a417de · outbound

This paper cites 2026 , eprint=.

JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models 2026 , eprint=

Reference 30

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source=arxiv_source observed=2026-08-01T17:40:54.820197Z digest=sha256:1e013bf69e7e9c0bd4e0c759c5963d0b0e3220c6279aa9ebad0a35a815eb932e

Observation 096de604-291f-462a-8863-d388832933a2 · outbound

This paper cites 2026 , eprint=.

JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models 2026 , eprint=

Reference 31

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source=arxiv_source observed=2026-08-01T17:40:54.834598Z digest=sha256:27b72ca6280abd7d147a6c66de1520c288a257b3ac716c1fd57ef56da7ca5e5c

Observation 3094e1cd-e507-4dce-9a2e-2a852daee8b3 · outbound

This paper cites 2026 , eprint=.

JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models 2026 , eprint=

Reference 32

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source=arxiv_source observed=2026-08-01T17:40:54.946232Z digest=sha256:2041f400b3e446dd669ba45903507012f26aca8e92429077a9835d7cb3ad2ab2

Observation 985b9e26-af06-4ae3-8d6d-af7899dfbc3b · outbound

This paper cites 2026 , eprint=.

JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models 2026 , eprint=

Reference 33

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source=arxiv_source observed=2026-08-01T17:40:55.105282Z digest=sha256:33006e6cd021972a4a64bde6b2a34082344cb7ba8a8cef680ec77e318046150e

Observation f3faac36-84e7-4a7f-8e9a-469e907be889 · outbound

This paper cites 2025 , eprint=.

JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models 2025 , eprint=

Reference 34

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source=arxiv_source observed=2026-08-01T17:40:55.214025Z digest=sha256:dbdade002d0582d60a184869e5cab607720a3e98b74120de0ae9f679554d1c2f

Observation 94b030df-7fe7-445e-b62a-63ddadc78833 · outbound

This paper cites 2023 , eprint=.

JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models 2023 , eprint=

Reference 35

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source=arxiv_source observed=2026-08-01T17:40:55.322379Z digest=sha256:eca6580d645aa3577c41939b27d5b683fc33eea2d49fdd7b512aaef66aa854e0

Observation 6f54ab10-8f0f-4e2f-8ec7-a82d379d6cd2 · outbound

This paper cites 2025 , eprint=.

JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models 2025 , eprint=

Reference 36

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source=arxiv_source observed=2026-08-01T17:40:55.474413Z digest=sha256:180929a768e4939a60a62836d8ba99491d9367a29e6f429a1ba06db3c95a32e6

Observation 2a6c9478-02aa-4740-ba9e-d06fbd837c50 · outbound

This paper cites 2023 , eprint=.

JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models 2023 , eprint=

Reference 37

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source=arxiv_source observed=2026-08-01T17:40:55.636667Z digest=sha256:6be605bb7983a4d1797840d08dfca2269f426537f6010e18b41b784c0f916b4b

Observation e3d695fe-5519-4ee7-b45e-2388b4b0097e · outbound

This paper cites 2023 , eprint=.

JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models 2023 , eprint=

Reference 38

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T17:40:55.743287Z digest=sha256:b8b542e1303d93db1da1646d97616e0346eb01432b22c4f77e9484358da5f4c8

Observation c0b3bc43-47d8-49c8-877b-79c384c292e3 · outbound

This paper cites 2022 , eprint=.

JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models 2022 , eprint=

Reference 39

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source=arxiv_source observed=2026-08-01T17:40:55.859948Z digest=sha256:26980d7d295a2f70f37ac0c86bc3b65e4e3e610072f37cc9bed2676c2498036d

Observation b6d7d517-370f-478a-b405-01e09aaa5afc · outbound

This paper cites 2025 , eprint=.

JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models 2025 , eprint=

Reference 40

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source=arxiv_source observed=2026-08-01T17:40:56.003708Z digest=sha256:142cbd8ab93138ff4cbf400e2115935953179e2e1b2763613adff8f73efde539

Observation 0bde6e87-dd5b-4378-b978-99abf3bc48cc · outbound

This paper cites 2024 , howpublished=.

JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models 2024 , howpublished=

Reference 41

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source=arxiv_source observed=2026-08-01T17:40:56.163392Z digest=sha256:63071f957d42cdd3b9c8691349a19a1af46b55b5e6dab21eeaae3391f9c4c154

Observation 8932e2ce-4e05-4211-bb28-eee90dc65d73 · outbound

This paper cites 2025 , eprint=.

JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models 2025 , eprint=

Reference 42

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source=arxiv_source observed=2026-08-01T17:40:56.416859Z digest=sha256:d214aa843f108c69a08a159be3274c7c33eea491bb8a012367cee19c3cbfdd54

Observation e1908460-d7c6-4c58-afce-c58e106b10e2 · outbound

This paper cites 2025 , eprint=.

JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models 2025 , eprint=

Reference 43

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source=arxiv_source observed=2026-08-01T17:40:56.566088Z digest=sha256:a4a593e1bca793930a345c6a73a4b36714f795dcaaebea7b1b742c3e8541d1a9

Observation cefc80ba-cafd-40f8-ade4-d455138f43ec · outbound

This paper cites 2018 , eprint=.

JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models 2018 , eprint=

Reference 44

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source=arxiv_source observed=2026-08-01T17:40:56.672656Z digest=sha256:848d27042d0924754b06e96281d4f8e1570c2f9bf244231e40e1fdbde5eba3ce

Observation 35e4e3a1-3f3d-49a1-939c-e0e6b3d331a0 · outbound

This paper cites 2026 , eprint=.

JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models 2026 , eprint=

Reference 45

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source=arxiv_source observed=2026-08-01T17:40:56.818530Z digest=sha256:8a79c008847385552a2c1495f6d0d7826952ff0901da3b002271e978c10060dd

Observation 5e2bffa2-b64a-435b-84c2-e4c13272f75c · outbound

This paper cites 2025 , eprint=.

JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models 2025 , eprint=

Reference 46

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source=arxiv_source observed=2026-08-01T17:40:56.914386Z digest=sha256:26087c437961b2099e99338948b2bd13bc40ea87aecc0a9e1588093faed2eae8

Observation 7f1471b0-8468-4e2d-afad-8580c7fbd01c · outbound

This paper cites 2025 , eprint=.

JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models 2025 , eprint=

Reference 47

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source=arxiv_source observed=2026-08-01T17:40:57.071276Z digest=sha256:21d8947c7d375dbd6373c43697f7bba5adf092bad4da1706da21492a49b5d6fb

Observation 20d867fe-7984-4c7a-b00c-2d3051ddcf2c · outbound

This paper cites 2024 , eprint=.

JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models 2024 , eprint=

Reference 48

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source=arxiv_source observed=2026-08-01T17:40:57.205797Z digest=sha256:f2c165e5bbd6282840c8392e4a33ceaabaaf38caca10b7020e485a45b9230331

Observation 9339dc20-d7d0-4fea-b386-92ce8afee7ec · outbound

This paper cites 2025 , eprint=.

JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models 2025 , eprint=

Reference 49

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source=arxiv_source observed=2026-08-01T17:40:57.324329Z digest=sha256:48bc1dc67c22f4a864759c71dcafd1817fba63baffadf7f7ed45cc366c487d5e

Observation b72dd472-cf28-429b-bab8-0f0491e8e393 · outbound

This paper cites The Fourteenth International Conference on Learning Representations , year=.

JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models The Fourteenth International Conference on Learning Representations , year=

Reference 50

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source=arxiv_source observed=2026-08-01T17:40:57.379988Z digest=sha256:5c6f62b2e5f006cb1485da9a0f62bf2accee95fb3d72a550783bdec692ea8bdb

Observation a4452468-7a1b-4819-858d-e4514e7658e2 · outbound

This paper cites Stochastic Interpolants: A Unifying Framework for Flows and Diffusions.

JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models Stochastic Interpolants: A Unifying Framework for Flows and Diffusions

Reference 51

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source=arxiv_source observed=2026-08-01T17:40:57.545887Z digest=sha256:7c7ef2a33b5743f75139951a786958217f268f6a0c06180409a8ca4ef3cd4aea

Observation 6ee6c90b-746b-4256-95ee-99a777c46199 · outbound

This paper cites Building Normalizing Flows with Stochastic Interpolants.

JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models Building Normalizing Flows with Stochastic Interpolants

Reference 52

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source=arxiv_source observed=2026-08-01T17:40:57.669967Z digest=sha256:4faed6e9486b60169af87e3409bff4d594196f665d5cfd72a22d03316aa73779

Observation 9f6b9fb3-69e6-4e9a-aebd-9b5e07114049 · outbound

This paper cites Training Diffusion Models with Reinforcement Learning.

JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models Training Diffusion Models with Reinforcement Learning

Reference 53

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source=arxiv_source observed=2026-08-01T17:40:57.873450Z digest=sha256:f38b71103f47c98990432848c80e903249ad9936ee85163473d0ccc0406008e8

Observation c2a8c0bc-caf7-4106-ae1e-50e318442fed · outbound

This paper cites Optimization Methods for Large-Scale Machine Learning.

JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models Optimization Methods for Large-Scale Machine Learning

Reference 54

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source=arxiv_source observed=2026-08-01T17:40:58.039436Z digest=sha256:4065bc32b6b7a17dd6e8c6722be34852851e05b75fe726a190ad65fed39eb01b

Observation c0a96964-57cd-47f0-8f5a-7868b276d8ba · outbound

This paper cites an unresolved cited work.

JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models Unresolved cited work

Reference 55

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source=arxiv_source observed=2026-08-01T17:40:58.196529Z digest=sha256:429440ca1d3e38145e926912a629e15d967b088d6dd0ef90ac2fe1c9350431db

Observation 598a82d4-7a02-4014-8c8c-8f6e6e69061c · outbound

This paper cites $\Delta$-DiT: A Training-Free Acceleration Method Tailored for Diffusion Transformers.

JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models $\Delta$-DiT: A Training-Free Acceleration Method Tailored for Diffusion Transformers

Reference 56

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source=arxiv_source observed=2026-08-01T17:40:58.317657Z digest=sha256:4dd45ca60d228fdcb7558f69ef4113a296e90cb8f478b467caf269ccc54a741d

Observation dba7fea7-4de0-41d2-9b2d-8f33ac07c1f8 · outbound

This paper cites DiffPO: Diffusion-styled Preference Optimization for Efficient Inference-Time Alignment of Large Language Models.

JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models DiffPO: Diffusion-styled Preference Optimization for Efficient Inference-Time Alignment of Large Language Models

Reference 57

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source=arxiv_source observed=2026-08-01T17:40:58.443704Z digest=sha256:52aa644efd0dad0aedf9579d2488265baaf5df11816a9c18918b7e3a57f89004

Observation 07ffd5f2-de0d-462d-bbcd-b3c8181220e3 · outbound

This paper cites Rethinking the Design Space of Reinforcement Learning for Diffusion Models: On the Importance of Likelihood Estimation Beyond Loss Design.

JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models Rethinking the Design Space of Reinforcement Learning for Diffusion Models: On the Importance of Likelihood Estimation Beyond Loss Design

Reference 58

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source=arxiv_source observed=2026-08-01T17:40:58.616774Z digest=sha256:b2a39d1f7f94703eca952accd3149c631b5ba0b1f0b65de2e3e50706be384a31

Observation f8bba2ab-1a03-4b3b-8658-df5aa6e23cea · outbound

This paper cites an unresolved cited work.

JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models Unresolved cited work

Reference 59

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source=arxiv_source observed=2026-08-01T17:40:58.871188Z digest=sha256:df02945d774349182e6c8e7a4ae76e7583998439f467f7902fe9343baf77f86a

Observation e4a68212-5bf2-4fef-b64e-e0ee9b73f491 · outbound

This paper cites an unresolved cited work.

JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models Unresolved cited work

Reference 60

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source=arxiv_source observed=2026-08-01T17:40:59.021146Z digest=sha256:7c226ec7ec904694d1d7f9463d4212450375dcfcca527157b4ebb7466e05af16

Observation 0db23b1b-43ff-4e4d-becb-046d5e79569f · outbound

This paper cites an unresolved cited work.

JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models Unresolved cited work

Reference 61

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source=arxiv_source observed=2026-08-01T17:40:59.203928Z digest=sha256:837cc07017dd32dc92c626ad938873394ff03fc9e4a1540eef5beab41be10c27

Observation 0c94564e-473d-4140-9d15-ce9e9568c894 · outbound

This paper cites CLIPScore: A Reference-free Evaluation Metric for Image Captioning.

JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models CLIPScore: A Reference-free Evaluation Metric for Image Captioning

Reference 62

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source=arxiv_source observed=2026-08-01T17:40:59.382248Z digest=sha256:d64427b1c501c37844c4dd56653c360391b261bf7199c23d74f8442ae434bbcc

Observation 12db0aae-6aa9-4821-b98d-505d91ee1c02 · outbound

This paper cites Denoising Diffusion Probabilistic Models.

JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models Denoising Diffusion Probabilistic Models

Reference 63

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source=arxiv_source observed=2026-08-01T17:40:59.561344Z digest=sha256:0c754c727e440499a2b11b2a7820f55b4b67157c8bd0c2562fe5efda885b61a8

Observation 4a2b1457-3665-4548-afc3-236eaa3c452c · outbound

This paper cites Pick-a-Pic: An Open Dataset of User Preferences for Text-to-Image Generation.

JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models Pick-a-Pic: An Open Dataset of User Preferences for Text-to-Image Generation

Reference 64

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source=arxiv_source observed=2026-08-01T17:40:59.731517Z digest=sha256:79c097565bcde1b3cdb63e9018afcecb1d0818d0e6fd494b578b657a48cce4bf

Observation 72558d43-b0eb-44a8-a6a1-28e4d6a52714 · outbound

This paper cites an unresolved cited work.

JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models Unresolved cited work

Reference 65

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source=arxiv_source observed=2026-08-01T17:40:59.936509Z digest=sha256:04441b79c1d1d6a45679b1726765128a4026937cefe32ce7716ab90b240ba90b

Observation 1bd299a7-48bb-4c71-a56e-7a452d5bd184 · outbound

This paper cites FLUX.1 Kontext: Flow Matching for In-Context Image Generation and Editing in Latent Space.

JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models FLUX.1 Kontext: Flow Matching for In-Context Image Generation and Editing in Latent Space

Reference 66

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source=arxiv_source observed=2026-08-01T17:41:00.073360Z digest=sha256:414bb867dc6af85d388af0ed04dcff4ca03feb99c524ae5a0776642640052dbd

Observation cdbc372b-9078-4f2d-92fa-7a4081f3b733 · outbound

This paper cites an unresolved cited work.

JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models Unresolved cited work

Reference 67

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source=arxiv_source observed=2026-08-01T17:41:00.246927Z digest=sha256:e31f315c4129d2cdc648afe3c354402675ae653548a59ea7b9c632ebfab36dd9

Observation d44aa620-02de-4478-9c35-374604cc2efd · outbound

This paper cites MixGRPO: Unlocking Flow-based GRPO Efficiency with Mixed ODE-SDE.

JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models MixGRPO: Unlocking Flow-based GRPO Efficiency with Mixed ODE-SDE

Reference 68

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source=arxiv_source observed=2026-08-01T17:41:00.353583Z digest=sha256:8d1599aaf0fdce7e8246cdc7b903c24d3b0d526d30cfb42d526906f893869a52

Observation 06c8b6b8-dd9e-4f5d-89e5-75cf75df7dbb · outbound

This paper cites an unresolved cited work.

JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models Unresolved cited work

Reference 69

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source=arxiv_source observed=2026-08-01T17:41:00.440808Z digest=sha256:fe2dec2eecbf1a7e2a44d91050136685dc47f6a518a9b32292ce5d4384253e9d

Observation 345dce7b-a87f-4072-826e-967671943ce6 · outbound

This paper cites Flow-GRPO: Training Flow Matching Models via Online RL.

JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models Flow-GRPO: Training Flow Matching Models via Online RL

Reference 70

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source=arxiv_source observed=2026-08-01T17:41:00.556942Z digest=sha256:9d77e06cb9f67975f8b4e6da4f4a3109219d63c62cf23da98bc961a5371620a7

Observation 2a12f02a-73b9-45bd-a5b0-6e8474d63ec6 · outbound

This paper cites an unresolved cited work.

JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models Unresolved cited work

Reference 71

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source=arxiv_source observed=2026-08-01T17:41:00.685994Z digest=sha256:0a32f9dec9836e9bfc592ad130668ec7894a30c25cdc0c9b88325f64193aff4d

Observation af3a0e18-3b64-4a10-86a4-00bae41edc90 · outbound

This paper cites From Reusing to Forecasting: Accelerating Diffusion Models with TaylorSeers.

JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models From Reusing to Forecasting: Accelerating Diffusion Models with TaylorSeers

Reference 72

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source=arxiv_source observed=2026-08-01T17:41:00.897682Z digest=sha256:4b49fcc9fb219f9cb6735456048214fb8709acfd183dec43c3ed13caa6248b33

Observation 44a787b7-64ad-4c27-a060-bbbb11c4d539 · outbound

This paper cites Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow.

JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow

Reference 73

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source=arxiv_source observed=2026-08-01T17:41:01.058437Z digest=sha256:ead2f1841144c94d1d75b6dc3cf536081c247ea933df7ba7057dc93d1dce8bab

Observation 21ea8f69-777e-46e8-9916-dba435530969 · outbound

This paper cites an unresolved cited work.

JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models Unresolved cited work

Reference 74

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source=arxiv_source observed=2026-08-01T17:41:01.177914Z digest=sha256:0d886ad357d0709913bba23819994553b84a2308f348ae1d4cbe69670a40a8a9

Observation 12861582-f4eb-4622-8146-b9cdca8233df · outbound

This paper cites an unresolved cited work.

JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models Unresolved cited work

Reference 75

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source=arxiv_source observed=2026-08-01T17:41:01.294532Z digest=sha256:73c1f2b37a769b1125eadd4103439150524038567c450d87e3ba37e28339c8c8

Observation 7914c9a8-7b1a-4298-8ef0-cc8794a58555 · outbound

This paper cites an unresolved cited work.

JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models Unresolved cited work

Reference 76

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source=arxiv_source observed=2026-08-01T17:41:01.464391Z digest=sha256:0952d0a512528b173521c383f65f5d523cabd4871389d2212bcdc9894d8b41c9

Observation ddf73d39-d60f-4e77-bd2d-b02da990220b · outbound

This paper cites an unresolved cited work.

JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models Unresolved cited work

Reference 77

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source=arxiv_source observed=2026-08-01T17:41:01.591913Z digest=sha256:ff3c1cfbf852a2394dbabba59befa5deba89b397768f240df9e804372d76afd5

Observation 757093f3-550c-4686-bd63-b51e17734c0a · outbound

This paper cites an unresolved cited work.

JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models Unresolved cited work

Reference 78

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T17:41:01.716091Z digest=sha256:badac1a5e2fa82fb12b1ed468d45f8d85516903f3c3cbc9beb4b9c912fa0b859

Observation 207c5aaa-d2ff-40bd-baf6-2527f4a601f6 · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 79

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no resolver link, observed 2026-08-01T17:41:01.838679Z

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source=arxiv_source observed=2026-08-01T17:41:01.838679Z digest=sha256:8b3a116b662b40181c83a0284c4afded530305ac43486e7946daf50c54f9b1ab

Observation 800f9936-92a3-425f-9a7d-12cf255cc90b · outbound

This paper cites Denoising Diffusion Implicit Models.

JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models Denoising Diffusion Implicit Models

Reference 80

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no resolver link, observed 2026-08-01T17:41:01.924780Z

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source=arxiv_source observed=2026-08-01T17:41:01.924780Z digest=sha256:3af8abbb07e03c1905b7dae65f38c37de8e1987c24fe67f5d9ae91fcf12a012b

Observation 0e7c3558-955d-4889-bcc6-744fd894371b · outbound

This paper cites V-GRPO: Online Reinforcement Learning for Denoising Generative Models Is Easier than You Think.

JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models V-GRPO: Online Reinforcement Learning for Denoising Generative Models Is Easier than You Think

Reference 81

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no resolver link, observed 2026-08-01T17:41:02.043705Z

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source=arxiv_source observed=2026-08-01T17:41:02.043705Z digest=sha256:212078480dc58a27337941b2a87e828cfb4be1909eaa1927262d4bc66ffc22f6

Observation 50e745f9-0b7f-49ca-8b64-8b9f8b5e197f · outbound

This paper cites UDM-GRPO: Stable and Efficient Group Relative Policy Optimization for Uniform Discrete Diffusion Models.

JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models UDM-GRPO: Stable and Efficient Group Relative Policy Optimization for Uniform Discrete Diffusion Models

Reference 82

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no resolver link, observed 2026-08-01T17:41:02.166858Z

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source=arxiv_source observed=2026-08-01T17:41:02.166858Z digest=sha256:7086132402d03ba686fb6560c4072d761d75b58e63b7cedcc954ccb2ace0386d

Observation 52a36ce6-f29f-4703-973b-42b95899a319 · outbound

This paper cites an unresolved cited work.

JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models Unresolved cited work

Reference 83

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no resolver link, observed 2026-08-01T17:41:02.276454Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-01T17:41:02.276454Z digest=sha256:f22a603c5f44266e07442fd3c17626d814c626da8081439f535869bf26968000

Observation 9df066f1-39af-42f0-8258-929514611308 · outbound

This paper cites Beyond SFT-to-RL: Pre-alignment via Black-Box On-Policy Distillation for Multimodal RL.

JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models Beyond SFT-to-RL: Pre-alignment via Black-Box On-Policy Distillation for Multimodal RL

Reference 84

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no resolver link, observed 2026-08-01T17:41:02.499008Z

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source=arxiv_source observed=2026-08-01T17:41:02.499008Z digest=sha256:ff8a19b7de8d0a1d663d0cdda875a3cff1f2cd6b355d6c75cdc2322ebfee3904

Observation 38ab9b48-aaca-4197-a9d6-02a38bcbc271 · outbound

This paper cites Qwen-Image Technical Report.

JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models Qwen-Image Technical Report

Reference 85

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no resolver link, observed 2026-08-01T17:41:02.666408Z

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source=arxiv_source observed=2026-08-01T17:41:02.666408Z digest=sha256:c245a0b6008b3abd682e3197fb3c3cca9c4ca2f59e29085e17fd7cbf82254c33

Observation ddc78491-ef7a-43ca-8f3d-2c5f96f86db1 · outbound

This paper cites Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis.

JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis

Reference 86

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no resolver link, observed 2026-08-01T17:41:02.927983Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-01T17:41:02.927983Z digest=sha256:89a0ef41e73e8a5358284613b25333fcf7497c0bd7936b8714026b6a6c45ba7f

Observation aefae780-1c6d-45a5-8c21-f66b9b1144e9 · outbound

This paper cites an unresolved cited work.

JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models Unresolved cited work

Reference 87

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no resolver link, observed 2026-08-01T17:41:03.106290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T17:41:03.106290Z digest=sha256:aecc41ba3a02f4ffefed4adbdac4d2838dbe0a49c89998d2fb4aa6e011f1ad45

Observation 43fdfd39-5046-4aa2-8949-557337c19d67 · outbound

This paper cites DanceGRPO: Unleashing GRPO on Visual Generation.

JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models DanceGRPO: Unleashing GRPO on Visual Generation

Reference 88

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no resolver link, observed 2026-08-01T17:41:03.253365Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-01T17:41:03.253365Z digest=sha256:9faba50dc9a78a00f70dd1ccf4d4fc08251830b910e12f1ce95a270e101103ce

Observation 30356f5c-f040-403e-a18b-13a3670ba30e · outbound

This paper cites AR-GRPO: Training Autoregressive Image Generation Models via Reinforcement Learning.

JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models AR-GRPO: Training Autoregressive Image Generation Models via Reinforcement Learning

Reference 89

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no resolver link, observed 2026-08-01T17:41:03.368705Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-01T17:41:03.368705Z digest=sha256:fc6149c8054cd6edd6a6761695ef44797feb13fdf80aeddcf76c775fd198f1e5

Observation 66c26607-55c2-4df5-9cf7-8bba67310b2f · outbound

This paper cites an unresolved cited work.

JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models Unresolved cited work

Reference 90

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no resolver link, observed 2026-08-01T17:41:03.466658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T17:41:03.466658Z digest=sha256:1e679571a1da32503c4e9321a12da173d252b8a7c91021030db9c7893172d191

Observation 41fabe27-66c3-4097-83b9-af38cb9b9082 · outbound

This paper cites A Survey of Reinforcement Learning for Large Reasoning Models.

JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models A Survey of Reinforcement Learning for Large Reasoning Models

Reference 91

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no resolver link, observed 2026-08-01T17:41:03.547848Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-01T17:41:03.547848Z digest=sha256:d527fd9f89e76da19be689e167dc7cac50b155a515773fa371fa2016a0f542fb

Observation 90549081-0beb-49b1-8a9e-c03dc016a687 · outbound

This paper cites Inpainting-Guided Policy Optimization for Diffusion Large Language Models.

JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models Inpainting-Guided Policy Optimization for Diffusion Large Language Models

Reference 92

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no resolver link, observed 2026-08-01T17:41:03.662756Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-01T17:41:03.662756Z digest=sha256:f0ae827cb7139d2a70f548f3a2acff577e7d80f643c36507227715dbdee5f103

Observation 64fb3c06-070c-44dc-bdec-10ebe130ec50 · outbound

This paper cites Real-Time Video Generation with Pyramid Attention Broadcast.

JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models Real-Time Video Generation with Pyramid Attention Broadcast

Reference 93

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source=arxiv_source observed=2026-08-01T17:41:03.776113Z digest=sha256:c21e66ebcbfdafbc79db8a76f9bd5e310b805a0eabd8d3324c3f5f8ef38e6ff8

Observation 98ddbe36-96fe-4644-9b66-9659f186cfbb · outbound

This paper cites DiffusionNFT: Online Diffusion Reinforcement with Forward Process.

JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models DiffusionNFT: Online Diffusion Reinforcement with Forward Process

Reference 94

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no resolver link, observed 2026-08-01T17:41:03.898241Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-01T17:41:03.898241Z digest=sha256:595bb1f652d3fc1b3ed92627a6918335bbe2dd3aa7e6564933c45d9066531e97

Observation 13b3d588-d984-468b-9113-4f30d46ef890 · outbound

This paper cites an unresolved cited work.

JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models Unresolved cited work

Reference 95

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no resolver link, observed 2026-08-01T17:41:04.126679Z

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source=arxiv_source observed=2026-08-01T17:41:04.126679Z digest=sha256:4c336b9fd8637271134ad2a9481853a83f93499f6fd2ec34b5601e0e906e09bf

Observation d89125a2-ce5b-4dc6-a275-802c57b5595a · outbound

This paper cites an unresolved cited work.

JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models Unresolved cited work

Reference 96

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no resolver link, observed 2026-08-01T17:41:04.198498Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T17:41:04.198498Z digest=sha256:f9024c1c90d5007f07de292e0af5e204b138e52f3caa295767b2bf6f37e70ed3

Observation 7fda30b7-b65e-4380-9d25-efe1ee9adb08 · outbound

This paper cites Diffusion Models for Reinforcement Learning: A Survey.

JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models Diffusion Models for Reinforcement Learning: A Survey

Reference 97

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no resolver link, observed 2026-08-01T17:41:04.258735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T17:41:04.258735Z digest=sha256:bb7a49dc8dd18f546d7fa3e0ac0ef50e98239a2e699d44fc01d6d550702896cb

Pith citing papers

No inbound Pith citation observations are available.