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Paper Citation Record · LEDGER

RDPO: Real Data Preference Optimization for Physics Consistency Video Generation

As of 10 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 3 inbound Pith citation observations for arXiv:2506.18655.

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

pith.paper-citation-record.v1
2506.18655 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:20:52.818162Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T19:33:05.318987Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T09:19:56.637328Z

Reference resolution

42 of 42 outbound references displayed

  • verified exact0
  • verified fuzzy10
  • unresolved32
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6e57058d-7fa5-4da7-9994-24adaf67b970 · outbound

This paper cites All are worth words: A vit backbone for diffusion models.

RDPO: Real Data Preference Optimization for Physics Consistency Video Generation All are worth words: A vit backbone for diffusion models

Reference 1

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 53362164-30cc-4d5b-8826-088231d0cdbc · outbound

This paper cites Training Diffusion Models with Reinforcement Learning.

RDPO: Real Data Preference Optimization for Physics Consistency Video Generation Training Diffusion Models with Reinforcement Learning

Reference 2

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Observation a67c7d42-47b4-4fc9-907a-fb98dba15091 · outbound

This paper cites Align your Latents: High-Resolution Video Synthesis with Latent Diffusion Models.

RDPO: Real Data Preference Optimization for Physics Consistency Video Generation Align your Latents: High-Resolution Video Synthesis with Latent Diffusion Models

Reference 3

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Observation ed385bc0-09a4-492a-92b2-c0a7446e7a18 · outbound

This paper cites Video generation models as world simulators. 2024.

RDPO: Real Data Preference Optimization for Physics Consistency Video Generation Video generation models as world simulators. 2024

Reference 4

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation b3afadfc-95ec-4e9f-b07a-a68789dfe37a · outbound

This paper cites Genie: Generative interactive environments.

RDPO: Real Data Preference Optimization for Physics Consistency Video Generation Genie: Generative interactive environments

Reference 5

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Observation 94d9c4b0-cf61-4688-85f2-c3641a6fe7fe · outbound

This paper cites Improving Dynamic Object Interactions in Text-to-Video Generation with AI Feedback.

RDPO: Real Data Preference Optimization for Physics Consistency Video Generation Improving Dynamic Object Interactions in Text-to-Video Generation with AI Feedback

Reference 6

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Observation 1537e5e8-92da-4cea-a628-c34f7df57688 · outbound

This paper cites I2v-adapter: A general image-to-video adapter for diffusion models.

RDPO: Real Data Preference Optimization for Physics Consistency Video Generation I2v-adapter: A general image-to-video adapter for diffusion models

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T23:20:48.465220Z digest=sha256:45ecd5c0fb5e450e7067202d790def08fb00c5d0df3997aabbe965843eb2de0a

Observation d065760a-a897-499c-badd-8c307cf00222 · outbound

This paper cites AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning.

RDPO: Real Data Preference Optimization for Physics Consistency Video Generation AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning

Reference 9

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Observation 567ac9da-cd08-4079-941c-465a45bb7f02 · outbound

This paper cites LTX-Video: Realtime Video Latent Diffusion.

RDPO: Real Data Preference Optimization for Physics Consistency Video Generation LTX-Video: Realtime Video Latent Diffusion

Reference 10

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Observation 7f3b6ec5-1b86-4085-905d-2af864d16b54 · outbound

This paper cites Denoising diffusion probabilistic models.

RDPO: Real Data Preference Optimization for Physics Consistency Video Generation Denoising diffusion probabilistic models

Reference 11

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Observation 3254c9c6-60b7-4262-87c0-2283283a452e · outbound

This paper cites Imagen Video: High Definition Video Generation with Diffusion Models.

RDPO: Real Data Preference Optimization for Physics Consistency Video Generation Imagen Video: High Definition Video Generation with Diffusion Models

Reference 12

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Observation 39cca752-315a-4423-b76b-6f5f235f973d · outbound

This paper cites CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers.

RDPO: Real Data Preference Optimization for Physics Consistency Video Generation CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers

Reference 13

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Observation 428f1cfd-7fd3-4cd3-b859-83fe0c46c665 · outbound

This paper cites Gen-Drive: Enhancing Diffusion Generative Driving Policies with Reward Modeling and Reinforcement Learning Fine-tuning.

RDPO: Real Data Preference Optimization for Physics Consistency Video Generation Gen-Drive: Enhancing Diffusion Generative Driving Policies with Reward Modeling and Reinforcement Learning Fine-tuning

Reference 14

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Observation 52dfe04f-36bd-4da3-a8d4-236587c37e4c · outbound

This paper cites VBench++: Comprehensive and Versatile Benchmark Suite for Video Generative Models.

RDPO: Real Data Preference Optimization for Physics Consistency Video Generation VBench++: Comprehensive and Versatile Benchmark Suite for Video Generative Models

Reference 15

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Observation adf7a120-74c2-412b-b127-bb97cedb0e53 · outbound

This paper cites How Far is Video Generation from World Model: A Physical Law Perspective.

RDPO: Real Data Preference Optimization for Physics Consistency Video Generation How Far is Video Generation from World Model: A Physical Law Perspective

Reference 16

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Observation 26d979ee-0df4-4b56-8d92-61506dbb3c0d · outbound

This paper cites HunyuanVideo: A Systematic Framework For Large Video Generative Models.

RDPO: Real Data Preference Optimization for Physics Consistency Video Generation HunyuanVideo: A Systematic Framework For Large Video Generative Models

Reference 17

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Observation f5cd075a-2c11-478f-8980-1d8bc34a6db4 · outbound

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

RDPO: Real Data Preference Optimization for Physics Consistency Video Generation Aligning Text-to-Image Models using Human Feedback

Reference 18

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Observation e15d2e1b-6ec4-46bc-b68a-5463f116b8f8 · outbound

This paper cites Aligning Diffusion Models by Optimizing Human Utility.

RDPO: Real Data Preference Optimization for Physics Consistency Video Generation Aligning Diffusion Models by Optimizing Human Utility

Reference 19

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Observation 30cf73d9-aabb-4aac-8dfa-444d8a962ee6 · outbound

This paper cites Exploring the Evolution of Physics Cognition in Video Generation: A Survey.

RDPO: Real Data Preference Optimization for Physics Consistency Video Generation Exploring the Evolution of Physics Cognition in Video Generation: A Survey

Reference 20

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Observation 0ad4a8e1-fd0b-424e-8954-fbbf08d861e2 · outbound

This paper cites Improving Video Generation with Human Feedback.

RDPO: Real Data Preference Optimization for Physics Consistency Video Generation Improving Video Generation with Human Feedback

Reference 22

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Observation 2c2814ff-53ab-4e79-8635-8c50904d636f · outbound

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

RDPO: Real Data Preference Optimization for Physics Consistency Video Generation Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow

Reference 23

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Observation 80ead637-9ec7-4887-a495-fc5942e66480 · outbound

This paper cites SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations.

RDPO: Real Data Preference Optimization for Physics Consistency Video Generation SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations

Reference 24

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Observation bbf58e07-ce2c-41f5-92e6-81c58dee9c3b · outbound

This paper cites Do generative video models understand physical principles?.

RDPO: Real Data Preference Optimization for Physics Consistency Video Generation Do generative video models understand physical principles?

Reference 25

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Observation 8a7a73b2-d643-4773-8f89-c832ae160368 · outbound

This paper cites Scalable diffusion models with transformers.

RDPO: Real Data Preference Optimization for Physics Consistency Video Generation Scalable diffusion models with transformers

Reference 26

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Observation 331d7c8d-e79e-4d18-8385-3e56d60fc928 · outbound

This paper cites Video Diffusion Alignment via Reward Gradients.

RDPO: Real Data Preference Optimization for Physics Consistency Video Generation Video Diffusion Alignment via Reward Gradients

Reference 27

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Observation 0db6ddea-ea49-4d02-b7e9-d25b7cc060d4 · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

RDPO: Real Data Preference Optimization for Physics Consistency Video Generation High-resolution image synthesis with latent diffusion models

Reference 28

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Observation ec4fec59-50df-48c6-9260-b7cd5091806a · outbound

This paper cites Make-A-Video: Text-to-Video Generation without Text-Video Data.

RDPO: Real Data Preference Optimization for Physics Consistency Video Generation Make-A-Video: Text-to-Video Generation without Text-Video Data

Reference 29

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Observation 7052dc8d-320a-45b1-9ba3-4a3924717a5d · outbound

This paper cites Deep Unsupervised Learning using Nonequilibrium Thermody- namics.

RDPO: Real Data Preference Optimization for Physics Consistency Video Generation Deep Unsupervised Learning using Nonequilibrium Thermody- namics

Reference 30

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 08228549-5847-472e-8868-f2b8c42daeca · outbound

This paper cites Denoising Diffusion Implicit Models.

RDPO: Real Data Preference Optimization for Physics Consistency Video Generation Denoising Diffusion Implicit Models

Reference 31

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Observation 7a189c2a-5b14-44a5-bd95-132b6a12ce55 · outbound

This paper cites Diffusion model alignment using direct preference optimization.

RDPO: Real Data Preference Optimization for Physics Consistency Video Generation Diffusion model alignment using direct preference optimization

Reference 32

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation fc1c3b49-e6d0-4cf3-b536-32f944a4761b · outbound

This paper cites WISA: World Simulator Assistant for Physics-Aware Text-to-Video Generation.

RDPO: Real Data Preference Optimization for Physics Consistency Video Generation WISA: World Simulator Assistant for Physics-Aware Text-to-Video Generation

Reference 33

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Observation 7d7012c1-356c-497a-a7f4-bce1b12e5fc2 · outbound

This paper cites ModelScope Text-to-Video Technical Report.

RDPO: Real Data Preference Optimization for Physics Consistency Video Generation ModelScope Text-to-Video Technical Report

Reference 34

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Observation a7c56380-5730-4d40-9b46-8af7bddf1366 · outbound

This paper cites Fairy: Fast parallelized instruction-guided video-to-video synthesis.

RDPO: Real Data Preference Optimization for Physics Consistency Video Generation Fairy: Fast parallelized instruction-guided video-to-video synthesis

Reference 35

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raw_fallback, observed 2026-08-06T23:20:55.404993Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 7577fc21-c16c-4607-8b70-19de21cecf46 · outbound

This paper cites GODIVA: Generating Open-DomaIn Videos from nAtural Descriptions.

RDPO: Real Data Preference Optimization for Physics Consistency Video Generation GODIVA: Generating Open-DomaIn Videos from nAtural Descriptions

Reference 36

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Observation d114c05e-f2df-460f-b072-d1e029b6dfc5 · outbound

This paper cites Boosting text-to-video generative model with MLLMs feedback.

RDPO: Real Data Preference Optimization for Physics Consistency Video Generation Boosting text-to-video generative model with MLLMs feedback

Reference 37

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 5154af7f-4262-47d3-aed4-7353e9ae92e2 · outbound

This paper cites A survey on video diffusion models.

RDPO: Real Data Preference Optimization for Physics Consistency Video Generation A survey on video diffusion models

Reference 38

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T23:20:51.790953Z digest=sha256:0fd4d56d7ff605b13918eb01bd0abfba93e9615ebd314ea135762ca07179d0b7

Observation a1a981f9-46d2-476a-96e7-5721a79396dd · outbound

This paper cites VisionReward: Fine-Grained Multi-Dimensional Human Preference Learning for Image and Video Generation.

RDPO: Real Data Preference Optimization for Physics Consistency Video Generation VisionReward: Fine-Grained Multi-Dimensional Human Preference Learning for Image and Video Generation

Reference 39

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no resolver link, observed 2026-08-06T23:20:51.939371Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 0d176775-ca09-4736-8317-01592308dc16 · outbound

This paper cites PhyT2V: LLM-Guided Iterative Self-Refinement for Physics-Grounded Text-to-Video Generation.

RDPO: Real Data Preference Optimization for Physics Consistency Video Generation PhyT2V: LLM-Guided Iterative Self-Refinement for Physics-Grounded Text-to-Video Generation

Reference 40

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no resolver link, observed 2026-08-06T23:20:52.058128Z

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Observation 77a5ac40-468b-4a99-812d-99ea04c54e4c · outbound

This paper cites Learning Interactive Real-World Simulators.

RDPO: Real Data Preference Optimization for Physics Consistency Video Generation Learning Interactive Real-World Simulators

Reference 41

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no resolver link, observed 2026-08-06T23:20:52.194632Z

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source=pdf_text observed=2026-08-06T23:20:52.194632Z digest=sha256:980711ae627fd3759054ef3423890830c14e0985b03906d69a26073f82ed4552

Observation 5f2c0c7c-75f0-4dcc-b1c3-3f2970514ef8 · outbound

This paper cites Ipo: Iterative preference optimization for text-to- video generation.

RDPO: Real Data Preference Optimization for Physics Consistency Video Generation Ipo: Iterative preference optimization for text-to- video generation

Reference 43

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no resolver link, observed 2026-08-06T23:20:52.417485Z

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source=pdf_text observed=2026-08-06T23:20:52.417485Z digest=sha256:55028c8c2ece88286f85848a6dd7c2a8a9dd8bf0848fa9bb9528f927400bb20e

Observation ea649f5d-d800-466c-92ab-7016d4956a23 · outbound

This paper cites InstructVideo: Instructing Video Diffusion Models with Human Feedback.

RDPO: Real Data Preference Optimization for Physics Consistency Video Generation InstructVideo: Instructing Video Diffusion Models with Human Feedback

Reference 44

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verified fuzzy
raw_fallback, observed 2026-08-06T23:20:54.713082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T23:20:52.724803Z digest=sha256:1225e524275f63259ce75790f79457cc93810c3edde642a6b2b4e37bfe710772

Observation 338535c5-85ab-4f75-a2b1-985c224ac5aa · outbound

This paper cites gDDIM: Generalized denoising diffusion implicit models.

RDPO: Real Data Preference Optimization for Physics Consistency Video Generation gDDIM: Generalized denoising diffusion implicit models

Reference 45

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no resolver link, observed 2026-08-06T23:20:52.818162Z

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source=pdf_text observed=2026-08-06T23:20:52.818162Z digest=sha256:6e2b5d49145d026d6c271331fd4806959eed44fb0242b797b5fb5162c9d69602

Pith citing papers

Observation 28bbadc5-f3bf-4da4-987d-b1f3d39a1fa9 · inbound

Phantom: Physics-Infused Video Generation via Joint Modeling of Visual and Latent Physical Dynamics cites this paper.

Phantom: Physics-Infused Video Generation via Joint Modeling of Visual and Latent Physical Dynamics RDPO: Real Data Preference Optimization for Physics Consistency Video Generation

Reference 33

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verified exact
arxiv_id, observed 2026-05-11T05:10:55.657842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T18:15:37.338442Z digest=sha256:b6aba8978cb82f51727795849ee9746f7903fb4613f01a60329d27c01af5737c

Observation 9e0ed7ab-4651-4efc-97de-4bf425ee2405 · inbound

Phantom: Physics-Infused Video Generation via Joint Modeling of Visual and Latent Physical Dynamics cites this paper.

Phantom: Physics-Infused Video Generation via Joint Modeling of Visual and Latent Physical Dynamics RDPO: Real Data Preference Optimization for Physics Consistency Video Generation

Reference 33

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verified exact
arxiv_id, observed 2026-05-21T09:19:56.639585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-21T09:17:53.731701Z digest=sha256:2edc0b20414602934a47ea0f9758150dfdfe04aaaa8a2c62e6e4a12ff93ad202

Observation b9a444ed-ca7e-4b2e-ae46-f04c795ef3b3 · inbound

When Physical Preferences Meet Semantic Constraints: Physical and Semantic Direct Preference Optimization for Text-to-Video Generation cites this paper.

When Physical Preferences Meet Semantic Constraints: Physical and Semantic Direct Preference Optimization for Text-to-Video Generation RDPO: Real Data Preference Optimization for Physics Consistency Video Generation

Reference 30

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no resolver link, observed 2026-08-01T19:33:05.318987Z

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source=pdf_text observed=2026-08-01T19:33:05.318987Z digest=sha256:5f70a69fefe9ff13093c920bb74a7a375759717146a7557485bc7c8f818ddcf3