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Paper Citation Record · LEDGER

CreFlow: Corrective Reflow for Sparse-Reward Embodied Video Diffusion RL

As of 8 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 1 inbound Pith citation observation for arXiv:2605.14274.

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

pith.paper-citation-record.v1
2605.14274 v1

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-15T02:42:08.454469Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-26T17:11:12.686936Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-04T04:09:35.097630Z

Reference resolution

45 of 45 outbound references displayed

  • verified exact36
  • verified fuzzy7
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ce3df6d8-241d-4ab0-a2a7-0a14a9907f04 · outbound

This paper cites Cosmos World Foundation Model Platform for Physical AI.

CreFlow: Corrective Reflow for Sparse-Reward Embodied Video Diffusion RL Cosmos World Foundation Model Platform for Physical AI

Reference 1

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verified exact
local_arxiv, observed 2026-05-15T02:43:33.369975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T02:42:08.454469Z digest=sha256:0a9bfaa0134db0b6676fa2ef44b2083f4d3cab000898700e784ecea5a61eef92

Observation 01d0c9a8-0e14-478a-ac8f-656b4e255c40 · outbound

This paper cites Gen2Act: Human Video Generation in Novel Scenarios enables Generalizable Robot Manipulation.

CreFlow: Corrective Reflow for Sparse-Reward Embodied Video Diffusion RL Gen2Act: Human Video Generation in Novel Scenarios enables Generalizable Robot Manipulation

Reference 2

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verified exact
arxiv_id, observed 2026-05-15T12:17:01.597427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T02:42:08.454469Z digest=sha256:331f25c9adf1c24ec2c5f2f1440b322c58fb0f2525a944bec53e119b28cda147

Observation e951e35c-1066-43d7-8010-7c16dadbdeba · outbound

This paper cites Motus: A Unified Latent Action World Model.

CreFlow: Corrective Reflow for Sparse-Reward Embodied Video Diffusion RL Motus: A Unified Latent Action World Model

Reference 3

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verified exact
local_arxiv, observed 2026-05-15T02:43:33.364259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T02:42:08.454469Z digest=sha256:456ce8c8dd615d5e02b8031884b6b6b2ee3b10d5af7b14ec7b46dd2595b9e095

Observation 71e14364-1d66-4ed4-9797-d671aefdc808 · outbound

This paper cites $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization.

CreFlow: Corrective Reflow for Sparse-Reward Embodied Video Diffusion RL $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-05-15T02:43:33.367153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T02:42:08.454469Z digest=sha256:f86331a293ae8aef246fbce2047a7f51e219208401680c945361f31d55d1cfdd

Observation 9cf26190-b57a-4e6c-8ada-e819fef4025e · outbound

This paper cites SAM 3: Segment Anything with Concepts.

CreFlow: Corrective Reflow for Sparse-Reward Embodied Video Diffusion RL SAM 3: Segment Anything with Concepts

Reference 5

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verified exact
local_arxiv, observed 2026-05-15T02:43:33.330096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T02:42:08.454469Z digest=sha256:6ebd8dbcddb7f8e1e8d41a6ab4bb40393eec5553efbce3ff58d4043f5f40aa53

Observation 14fb0b1d-40f6-4daf-9025-3460937c9f3c · outbound

This paper cites Large Video Planner Enables Generalizable Robot Control.

CreFlow: Corrective Reflow for Sparse-Reward Embodied Video Diffusion RL Large Video Planner Enables Generalizable Robot Control

Reference 6

Resolution
metadata mismatch
local_arxiv, observed 2026-05-15T02:43:33.314803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T02:42:08.454469Z digest=sha256:fb5ea19091428cfd005086f1e7fdde16af00d9b3c4c0f1cf3203614f439135e4

Observation 760c1f4a-2051-4f76-8629-b8919651b49e · outbound

This paper cites RoboTwin 2.0: A Scalable Data Generator and Benchmark with Strong Domain Randomization for Robust Bimanual Robotic Manipulation.

CreFlow: Corrective Reflow for Sparse-Reward Embodied Video Diffusion RL RoboTwin 2.0: A Scalable Data Generator and Benchmark with Strong Domain Randomization for Robust Bimanual Robotic Manipulation

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-05-15T02:43:33.276535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T02:42:08.454469Z digest=sha256:70fee15e76d500691222dd35232a548f96dfb4925e30ceaf5b0c1a5cd58d096a

Observation 3b4fb1ae-7e42-4980-953d-3dc2ccf91373 · outbound

This paper cites Abot-physworld: Interactive world foundation model for robotic manipulation with physics alignment.

CreFlow: Corrective Reflow for Sparse-Reward Embodied Video Diffusion RL Abot-physworld: Interactive world foundation model for robotic manipulation with physics alignment

Reference 8

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verified exact
arxiv_id, observed 2026-05-15T02:43:33.270827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T02:42:08.454469Z digest=sha256:359e2f7b39c0739a2c8dfc2578a861ed077398d4c4a17d90a261143bdc443c34

Observation 95cca7bd-4516-4207-a935-2bcf207d83fb · outbound

This paper cites SafeBimanual: Diffusion-based Trajectory Optimization for Safe Bimanual Manipulation.

CreFlow: Corrective Reflow for Sparse-Reward Embodied Video Diffusion RL SafeBimanual: Diffusion-based Trajectory Optimization for Safe Bimanual Manipulation

Reference 9

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verified exact
arxiv_id, observed 2026-05-15T02:43:33.279767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T02:42:08.454469Z digest=sha256:9f836a05333adf62cbf5ea6331ed717b9ccf9c42562a5821ef43e51b1e0a99e0

Observation f62b9b3d-7421-4db2-862c-d8e0557b710d · outbound

This paper cites Dream2flow: Bridging video generation and open-world manipulation with 3d object flow.

CreFlow: Corrective Reflow for Sparse-Reward Embodied Video Diffusion RL Dream2flow: Bridging video generation and open-world manipulation with 3d object flow

Reference 10

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arxiv_id, observed 2026-05-15T02:43:33.256296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T02:42:08.454469Z digest=sha256:850eaebae1adb3344f94382cbc4734fa66b2ab8bc248a2496de337ac29f142b8

Observation f5ba5f22-7cd6-4991-85a3-3ab465bcbcac · outbound

This paper cites VideoGPA: Distilling Geometry Priors for 3D-Consistent Video Generation.

CreFlow: Corrective Reflow for Sparse-Reward Embodied Video Diffusion RL VideoGPA: Distilling Geometry Priors for 3D-Consistent Video Generation

Reference 11

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verified exact
local_arxiv, observed 2026-05-15T02:43:33.261186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T02:42:08.454469Z digest=sha256:849c199bea163d52b83789df73879d280e480b3c6c5eddcb0546fe232fc2057d

Observation c6f2c491-d41d-4b39-b0ce-a65dc8f5479d · outbound

This paper cites Tenenbaum, Dale Schuurmans, and Pieter Abbeel.

CreFlow: Corrective Reflow for Sparse-Reward Embodied Video Diffusion RL Tenenbaum, Dale Schuurmans, and Pieter Abbeel

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T04:14:58.975922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T02:42:08.454469Z digest=sha256:6a8450dcda236428bb5959b2f4a58885dceca58ee70f1c49686e352e3b9d5d04

Observation f826c360-f8fc-466a-98a0-cc2ff328b47c · outbound

This paper cites Video Language Planning.

CreFlow: Corrective Reflow for Sparse-Reward Embodied Video Diffusion RL Video Language Planning

Reference 13

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T02:43:33.264647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T02:42:08.454469Z digest=sha256:97d0f2580b8c8bdfc51713d96ea0d8aaeb1cb50582d84433c7ddca7c78f9b752

Observation 7a0e5225-8cfa-4806-b858-8475207a7bb0 · outbound

This paper cites Vidar: Embodied Video Diffusion Model for Generalist Manipulation.

CreFlow: Corrective Reflow for Sparse-Reward Embodied Video Diffusion RL Vidar: Embodied Video Diffusion Model for Generalist Manipulation

Reference 14

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verified exact
arxiv_id, observed 2026-05-16T09:54:28.431425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T02:42:08.454469Z digest=sha256:c55fda17e49b7b3b8cbccd0aad62235775f701b4f28f15782f2755a079bb9843

Observation 8692e569-80cd-474a-b7d8-101ccc156f42 · outbound

This paper cites V AMPO: Policy optimization for improving visual dynamics in video action models.

CreFlow: Corrective Reflow for Sparse-Reward Embodied Video Diffusion RL V AMPO: Policy optimization for improving visual dynamics in video action models

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-15T02:43:33.273805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T02:42:08.454469Z digest=sha256:d014e1ee01788e1596326877c8fb6063872e23e72639c41f64f0693e3c527379

Observation 5e7ae572-faa4-4e80-a5be-07b5397d92ff · outbound

This paper cites Video Prediction Policy: A Generalist Robot Policy with Predictive Visual Representations.

CreFlow: Corrective Reflow for Sparse-Reward Embodied Video Diffusion RL Video Prediction Policy: A Generalist Robot Policy with Predictive Visual Representations

Reference 16

Resolution
verified exact
local_arxiv, observed 2026-05-15T02:43:33.305016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T02:42:08.454469Z digest=sha256:cf15225b62fef487383e378442f1cd5253283c6386f9e798c2e0e621a6892338

Observation 41ac8fc0-fa4a-4b4f-a788-79f1d907d89d · outbound

This paper cites ReKep: Spatio-Temporal Reasoning of Relational Keypoint Constraints for Robotic Manipulation.

CreFlow: Corrective Reflow for Sparse-Reward Embodied Video Diffusion RL ReKep: Spatio-Temporal Reasoning of Relational Keypoint Constraints for Robotic Manipulation

Reference 17

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verified exact
arxiv_id, observed 2026-05-16T08:25:18.388921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T02:42:08.454469Z digest=sha256:d6e6d0c209e162ea58c5414619ed21b74e598889e253fd600dc390081f15e483

Observation 1bf49e26-d143-4a58-b0b1-6fa9dc34cc02 · outbound

This paper cites Mind the Generative Details: Direct Localized Detail Preference Optimization for Video Diffusion Models.

CreFlow: Corrective Reflow for Sparse-Reward Embodied Video Diffusion RL Mind the Generative Details: Direct Localized Detail Preference Optimization for Video Diffusion Models

Reference 18

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verified exact
local_arxiv, observed 2026-05-15T02:43:33.317622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T02:42:08.454469Z digest=sha256:08adbe60c15adab1e5163295e1edebe8bf2c6abf85d8f8c8f607e0cb6de8e379

Observation 54e07cd6-f89b-4747-a773-31ff16adedc5 · outbound

This paper cites Aligning Text-to-Image Models using Human Feedback.

CreFlow: Corrective Reflow for Sparse-Reward Embodied Video Diffusion RL Aligning Text-to-Image Models using Human Feedback

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-05-15T02:43:33.320802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T02:42:08.454469Z digest=sha256:928c38ab203691140c12bd65519f0e0f16a03d3524ed83079323790261dff33d

Observation 468f52a0-de5f-4cb4-b2c3-dccf3828645c · outbound

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

CreFlow: Corrective Reflow for Sparse-Reward Embodied Video Diffusion RL MixGRPO: Unlocking Flow-based GRPO Efficiency with Mixed ODE-SDE

Reference 20

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local_arxiv, observed 2026-05-15T02:43:33.349146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T02:42:08.454469Z digest=sha256:a01bae46a0e7609730a79071d62385f387106c78103399e5a7e9bf1c41ed503a

Observation 741b519d-3eb5-446e-a0d6-e630a51e53a1 · outbound

This paper cites Embodied agent interface: Benchmarking llms for embodied decision making.Advances in Neural Information Processing Systems, 37: 100428–100534.

CreFlow: Corrective Reflow for Sparse-Reward Embodied Video Diffusion RL Embodied agent interface: Benchmarking llms for embodied decision making.Advances in Neural Information Processing Systems, 37: 100428–100534

Reference 21

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raw_fallback, observed 2026-05-15T04:14:59.003679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T02:42:08.454469Z digest=sha256:84acebe6fb8b18b490373c7831a6c93e6df9efc8854b2f805d8ec580f8ef2a12

Observation c8851f1d-09e4-4b8d-87c2-3f4b3b1657c2 · outbound

This paper cites Flow-GRPO: Training flow matching models via online RL.

CreFlow: Corrective Reflow for Sparse-Reward Embodied Video Diffusion RL Flow-GRPO: Training flow matching models via online RL

Reference 22

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verified fuzzy
raw_fallback, observed 2026-05-15T04:14:58.982346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T02:42:08.454469Z digest=sha256:aa1739be6abde4c4d69577abf0a91c3b14cff7dfd94e0ef8f26c65d05b394301

Observation d7cd2351-8ae7-4c27-b8fe-7c8a9afcaadf · outbound

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

CreFlow: Corrective Reflow for Sparse-Reward Embodied Video Diffusion RL Flow-GRPO: Training Flow Matching Models via Online RL

Reference 23

Resolution
verified exact
local_arxiv, observed 2026-05-15T02:43:33.337145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T02:42:08.454469Z digest=sha256:d48e3ccae532e944f76cfabfe06cfd2e315856c96cf9d9d032b4aff88cdafb65

Observation f8d1ec51-9ca2-4786-a176-d8a6f4fa860f · outbound

This paper cites Improving Video Generation with Human Feedback.

CreFlow: Corrective Reflow for Sparse-Reward Embodied Video Diffusion RL Improving Video Generation with Human Feedback

Reference 24

Resolution
verified exact
local_arxiv, observed 2026-05-15T02:43:33.340185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T02:42:08.454469Z digest=sha256:3e1d68c3fb1f5f1a179780faaec8b70df815fa3649ec8b5affce1aa3cc5af17f

Observation 27edc120-5d4f-42fa-b908-db7cbf9720c8 · outbound

This paper cites Dit4dit: Jointly modeling video dynamics and actions for generalizable robot control.

CreFlow: Corrective Reflow for Sparse-Reward Embodied Video Diffusion RL Dit4dit: Jointly modeling video dynamics and actions for generalizable robot control

Reference 25

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arxiv_id, observed 2026-05-15T02:43:33.333131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T02:42:08.454469Z digest=sha256:3f987fd98daa3b8deef15d3a1478ce2772f7e5b32c0f14846f012c3367a9d0fc

Observation cb8e9787-e239-42d2-a2b4-8d49e40c0030 · outbound

This paper cites Hpsv3: Towards wide-spectrum hu- man preference score.

CreFlow: Corrective Reflow for Sparse-Reward Embodied Video Diffusion RL Hpsv3: Towards wide-spectrum hu- man preference score

Reference 26

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verified fuzzy
raw_fallback, observed 2026-05-15T04:14:58.987575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T02:42:08.454469Z digest=sha256:6b44512fb873775a2f0593c4a844899a2d1da4b18d0b64b42414e7af487b8c54

Observation 597c5a08-4b41-42ad-bf82-677a2da1b3d0 · outbound

This paper cites Seeing what matters: Visual preference policy optimization for visual generation.

CreFlow: Corrective Reflow for Sparse-Reward Embodied Video Diffusion RL Seeing what matters: Visual preference policy optimization for visual generation

Reference 27

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verified fuzzy
raw_fallback, observed 2026-05-15T04:14:58.994206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T02:42:08.454469Z digest=sha256:4c959d1ff7911d349cb11bd8e17c1d2966e0f57715a12eac9df0e26ddbfdd1fa

Observation 35b0794e-0cca-4520-aabd-1dfa3f0b2f3a · outbound

This paper cites Seeing What Matters: Visual Preference Policy Optimization for Visual Generation.

CreFlow: Corrective Reflow for Sparse-Reward Embodied Video Diffusion RL Seeing What Matters: Visual Preference Policy Optimization for Visual Generation

Reference 28

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verified exact
arxiv_id, observed 2026-05-20T00:00:28.383526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T02:42:08.454469Z digest=sha256:2caccfd299d2d36aabaf5a159d9e9ff5cdfcac729428529a0939fec482f269d1

Observation c77331fa-8c6b-49bb-a902-77ed2781d832 · outbound

This paper cites The Intrinsic Dimension of Images and Its Impact on Learning.

CreFlow: Corrective Reflow for Sparse-Reward Embodied Video Diffusion RL The Intrinsic Dimension of Images and Its Impact on Learning

Reference 29

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arxiv_id, observed 2026-05-15T02:43:33.358144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T02:42:08.454469Z digest=sha256:30d3f2f2d2a23dbd47ed7f4aa547bac06c0d4582bd2b745e0fc448ec498b3d42

Observation 6a1b1a15-8562-4ffc-b1ec-a6363e5ebedd · outbound

This paper cites Learning transferable visual models from natural language supervision.

CreFlow: Corrective Reflow for Sparse-Reward Embodied Video Diffusion RL Learning transferable visual models from natural language supervision

Reference 30

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verified fuzzy
raw_fallback, observed 2026-05-15T04:14:59.013557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T02:42:08.454469Z digest=sha256:db3694cbabfe8364ada82de0d22580e8a504480360bc37cbc16279973f184fa1

Observation 1bdcac49-0bef-413d-84ba-e168ef42b214 · outbound

This paper cites High-Resolution Image Synthesis with Latent Diffusion Models.

CreFlow: Corrective Reflow for Sparse-Reward Embodied Video Diffusion RL High-Resolution Image Synthesis with Latent Diffusion Models

Reference 31

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verified exact
local_arxiv, observed 2026-05-15T02:43:33.323683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T02:42:08.454469Z digest=sha256:085b6fead955d11cacb6e8e0f58694ceecbac697969f0d2b15df51ff0bddfcc2

Observation d9f4e71f-a6af-4596-8018-08f666a8eeb7 · outbound

This paper cites AnyPos: Automated Task-Agnostic Actions for Bimanual Manipulation.

CreFlow: Corrective Reflow for Sparse-Reward Embodied Video Diffusion RL AnyPos: Automated Task-Agnostic Actions for Bimanual Manipulation

Reference 32

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verified exact
local_arxiv, observed 2026-05-15T02:43:33.302055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T02:42:08.454469Z digest=sha256:a57182dc710d885104b32653b0a99aaf542631219dcba60c693e0bcd6c00ee64

Observation b12a4387-0a6e-49a5-96ee-2585f92a0240 · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

CreFlow: Corrective Reflow for Sparse-Reward Embodied Video Diffusion RL Gemini: A Family of Highly Capable Multimodal Models

Reference 33

Resolution
verified exact
local_arxiv, observed 2026-05-15T02:43:33.308151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T02:42:08.454469Z digest=sha256:8471ecb67326b914a2b07641c9f23d5a71c07fdc5ca1a0b177ed17ce0d8f6e45

Observation 4419cb71-9eb2-4942-b9eb-38bd76bca2fb · outbound

This paper cites TAGRPO: Boosting GRPO on Image-to-Video Generation with Direct Trajectory Alignment.

CreFlow: Corrective Reflow for Sparse-Reward Embodied Video Diffusion RL TAGRPO: Boosting GRPO on Image-to-Video Generation with Direct Trajectory Alignment

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-27T02:05:10.361398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T02:42:08.454469Z digest=sha256:4e68c26405c14dfe671b4cbfd5378c63f5b010227ab4df161717baf5cbe19fd6

Observation 584be08b-f9bc-49a1-bc53-989fed446696 · outbound

This paper cites Grpo-guard: Mitigating implicit over-optimization in flow matching via regulated clipping.

CreFlow: Corrective Reflow for Sparse-Reward Embodied Video Diffusion RL Grpo-guard: Mitigating implicit over-optimization in flow matching via regulated clipping

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-05-15T02:43:33.298949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T02:42:08.454469Z digest=sha256:2ad3961e0b99b596053fa42d4405ed2660798402c70ef1ebb8c403a08f5ae508

Observation de365b7a-d1d2-4042-bb92-f438a1877181 · outbound

This paper cites EV A: Aligning video world models with executable robot actions via inverse dynamics rewards.

CreFlow: Corrective Reflow for Sparse-Reward Embodied Video Diffusion RL EV A: Aligning video world models with executable robot actions via inverse dynamics rewards

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-15T02:43:33.327000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T02:42:08.454469Z digest=sha256:2e4740d7d54f5cf8123e16e42d897e7ddf32376c69c357432d8ce977eee006d3

Observation 4644b7dd-c5ed-4caa-a916-959ced22c9da · outbound

This paper cites WorldCompass: Reinforcement learning for long-horizon world models.

CreFlow: Corrective Reflow for Sparse-Reward Embodied Video Diffusion RL WorldCompass: Reinforcement learning for long-horizon world models

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-15T02:43:33.346340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T02:42:08.454469Z digest=sha256:d0b2ff3e74ef07aad6b94defd27d150298be459c13b8c7661e0846c98268cef5

Observation 9b5a6c5e-96ec-4769-835f-fe054b4f33b8 · outbound

This paper cites DenseDPO: Fine-grained temporal preference optimization for video diffusion models.

CreFlow: Corrective Reflow for Sparse-Reward Embodied Video Diffusion RL DenseDPO: Fine-grained temporal preference optimization for video diffusion models

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-15T02:43:33.292216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T02:42:08.454469Z digest=sha256:2b5c2d9f7c9571710c1952565a1299477795555838dfa5a77c2c5276bc1a909e

Observation 6ad9b4cd-c5ff-4bff-a168-78c23ea3f3f2 · outbound

This paper cites DanceGRPO: Unleashing GRPO on Visual Generation.

CreFlow: Corrective Reflow for Sparse-Reward Embodied Video Diffusion RL DanceGRPO: Unleashing GRPO on Visual Generation

Reference 39

Resolution
verified exact
local_arxiv, observed 2026-05-15T02:43:33.295242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T02:42:08.454469Z digest=sha256:5857c10cac77502f64165958c1d99ae1ed2a841b6431ce8f4a898d734ce8f52b

Observation 863b8a7b-6f99-46bb-b628-3be9f3740ae0 · outbound

This paper cites World Action Models are Zero-shot Policies.

CreFlow: Corrective Reflow for Sparse-Reward Embodied Video Diffusion RL World Action Models are Zero-shot Policies

Reference 40

Resolution
verified exact
local_arxiv, observed 2026-05-15T02:43:33.267846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T02:42:08.454469Z digest=sha256:2f02775c0188fbe4e2da4f438106a579db64e590bbadd6f71c544ce5d2b16665

Observation e4c7054f-f770-4f47-8863-b8074a3c826b · outbound

This paper cites SENTINEL: A Multi-Level Formal Framework for Safety Evaluation of Foundation Model-based Embodied Agents.

CreFlow: Corrective Reflow for Sparse-Reward Embodied Video Diffusion RL SENTINEL: A Multi-Level Formal Framework for Safety Evaluation of Foundation Model-based Embodied Agents

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-07-22T01:22:14.626987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T02:42:08.454469Z digest=sha256:e12b467e32f8580a59c66601aea0b2e18c2f4fd14d3c31a46330781afb5008e8

Observation e1b3887a-97e2-4c9c-8757-974bc797cc44 · outbound

This paper cites Em- boAlign: Aligning video generation with compositional constraints for zero-shot manipulation.

CreFlow: Corrective Reflow for Sparse-Reward Embodied Video Diffusion RL Em- boAlign: Aligning video generation with compositional constraints for zero-shot manipulation

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-05-15T02:43:33.343393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T02:42:08.454469Z digest=sha256:a6bec99972109cb72427c0416fd05d986b5ce7f1ba1505f8e5e22e42f901fa1d

Observation 2c820e11-6079-49ce-b66a-00e5e31302ab · outbound

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

CreFlow: Corrective Reflow for Sparse-Reward Embodied Video Diffusion RL DiffusionNFT: Online Diffusion Reinforcement with Forward Process

Reference 43

Resolution
verified exact
local_arxiv, observed 2026-05-15T02:43:33.282486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T02:42:08.454469Z digest=sha256:8a4a0efb4aaab3885c93a0902c8d5fca061d4a4289084ec95993a87ba51487f6

Observation 1a5c70d0-b42a-4216-a60e-5aa456d66dbd · outbound

This paper cites Manifold-aware exploration for reinforcement learning in video generation.

CreFlow: Corrective Reflow for Sparse-Reward Embodied Video Diffusion RL Manifold-aware exploration for reinforcement learning in video generation

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-05-15T02:43:33.288953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T02:42:08.454469Z digest=sha256:4bbc238e7935040fd1cac7e7572de5661069f15602588e744681cec22962a486

Observation b1dcb3f4-718a-402f-b31b-b8274fea9d2d · outbound

This paper cites does not move.

CreFlow: Corrective Reflow for Sparse-Reward Embodied Video Diffusion RL does not move

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T04:14:59.008627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T02:42:08.454469Z digest=sha256:ad8b13c2d65522d2c4fee946b14ee0ade72eca61417d3193abe9d3239a9d6874

Pith citing papers

Observation 578255d1-4eb8-4cfe-bf67-f42080ed81a1 · inbound

World Action Models: A Survey cites this paper.

World Action Models: A Survey CreFlow: Corrective Reflow for Sparse-Reward Embodied Video Diffusion RL

Reference 125

Resolution
verified exact
local_arxiv, observed 2026-07-04T04:09:35.099485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-26T17:11:12.686936Z digest=sha256:e8ed5b3678c536d11df9ca4a1d76b2289d941f68c96882cb93f5bad9ba4bff3f