Pith. sign in

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 2026-08-10T06:31:04.303077+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
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:20:56.980322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T23:20:47.830465Z digest=sha256:e02d966e1d297925be10518daa8136ee0b99f9989171e87bb7aa8448ba689614

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

Resolution
unresolved
no resolver link, observed 2026-08-06T23:20:47.952924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:20:47.952924Z digest=sha256:41ef5594020f660f9ad57c1f7bcb7ed717a2e5385d72c56aa71fd8c128b54a86

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

Resolution
unresolved
no resolver link, observed 2026-08-06T23:20:48.027599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:20:48.027599Z digest=sha256:19ebc2da10c560737e766c7f92601be72972af1163f90bade4bd935b365777c2

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:20:56.754769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T23:20:48.121404Z digest=sha256:672844b167b6475195fcbbb9508442fe1f2d7e9b06e80fe8331dd7b66e5e9ebb

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:20:56.474478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T23:20:48.252893Z digest=sha256:23119ef730c02baf66952a800d8a0f9382f2aa39dd7b8dfeb95883d8addc96e0

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

Resolution
unresolved
no resolver link, observed 2026-08-06T23:20:48.359244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:20:48.359244Z digest=sha256:0cd332d384cf286dcbe8780a1eb739a5986b37fa1a225a4639426e158b3ddaaf

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:20:56.134820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T23:20:48.465220Z digest=sha256:22110c48d02702b1a5be08f6921176467a973c37e665ecdfc5c0cddaa20ebff2

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

Resolution
unresolved
no resolver link, observed 2026-08-06T23:20:48.609212Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:20:48.609212Z digest=sha256:3a5f0c7eef372a00f128291ed308a79c01309c587722477ad3ad758283b76a15

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

Resolution
unresolved
no resolver link, observed 2026-08-06T23:20:48.703873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:20:48.703873Z digest=sha256:559d041c60269af419852a43f59d92340b95186289800eb7c70129989ecf8676

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

Resolution
unresolved
no resolver link, observed 2026-08-06T23:20:48.817748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:20:48.817748Z digest=sha256:38bc89ed43976d81e1cb6ced567b28485f369cf8d1fab55def0d820999a5a93b

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

Resolution
unresolved
no resolver link, observed 2026-08-06T23:20:48.965657Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:20:48.965657Z digest=sha256:57667e4d158a9153be4d013aef73a2cc03c71c2632dd10ff1d1ff02fa17528f4

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

Resolution
unresolved
no resolver link, observed 2026-08-06T23:20:49.015192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:20:49.015192Z digest=sha256:6f20f5c4dac0e816f939e5460eac2b6f21d04e0198f97e5ee1c2d792aa7b8a55

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

Resolution
unresolved
no resolver link, observed 2026-08-06T23:20:49.116391Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:20:49.116391Z digest=sha256:8881b3eb9ceb4cdccb2b99b7d795ff9034b6c8d940fe3cfe9171bc97f5c1032c

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

Resolution
unresolved
no resolver link, observed 2026-08-06T23:20:49.206620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:20:49.206620Z digest=sha256:b078ef0809eb407f2f03a13bcc71bc8afb23dbd0bc6b0e4cb17e3d4d287cd98a

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

Resolution
unresolved
no resolver link, observed 2026-08-06T23:20:49.306554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:20:49.306554Z digest=sha256:a48e9f2bb9501cf85901826ae8582aa5c9dc90f2a4975a2cba0e8bfc6cf522ff

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

Resolution
unresolved
no resolver link, observed 2026-08-06T23:20:49.405796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:20:49.405796Z digest=sha256:e7f7e73129f599d4adc3fe5913936f73cb34658d72823f1b022f32528a1d7ec5

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

Resolution
unresolved
no resolver link, observed 2026-08-06T23:20:49.504046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:20:49.504046Z digest=sha256:af74da0f87bc3045573397698f4fe6f9f68245be338a1dc188de4017c6ef8c6b

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

Resolution
unresolved
no resolver link, observed 2026-08-06T23:20:49.598881Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:20:49.598881Z digest=sha256:ff6246a3a4f90d0b363194abd37dc6a1e80778f0e3f9b2c8894d91ea3d36c21e

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

Resolution
unresolved
no resolver link, observed 2026-08-06T23:20:49.709158Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:20:49.709158Z digest=sha256:615b394dbb9da2587c7c1beb10810fb4e4e4f444e8958c7978dbdd66c0503806

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

Resolution
unresolved
no resolver link, observed 2026-08-06T23:20:49.863788Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:20:49.863788Z digest=sha256:162f5b2fd84018cfa578e726b7dd27bd12012688a8b58d13b845f6bdeb9f5bc6

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

Resolution
unresolved
no resolver link, observed 2026-08-06T23:20:49.996413Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:20:49.996413Z digest=sha256:1e87a8d8c42954354d765be2bb1f6e8b172abc95fe99fb80db863653de021a68

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

Resolution
unresolved
no resolver link, observed 2026-08-06T23:20:50.080916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:20:50.080916Z digest=sha256:f34d455fbe9ddc024b852191660ba5bec50130416c4c0b368d85c3031ef01efb

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

Resolution
unresolved
no resolver link, observed 2026-08-06T23:20:50.229751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:20:50.229751Z digest=sha256:e8230e7f6ddacc683ce061f6f89516f936ac2af18b019f9407a7346b7b0d4d9a

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

Resolution
unresolved
no resolver link, observed 2026-08-06T23:20:50.435770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:20:50.435770Z digest=sha256:2be8c5831cf67f28280bc0835f07d9a0ba36816962dd0e919e30e7136348ea6b

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

Resolution
unresolved
no resolver link, observed 2026-08-06T23:20:50.560864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:20:50.560864Z digest=sha256:21050474813b0fa5d58142d914d2bb824b1f2bfe50f8cce78c732b350a6b4603

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

Resolution
unresolved
no resolver link, observed 2026-08-06T23:20:50.647708Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:20:50.647708Z digest=sha256:9baf73a48c7f036d5eab0ed5cdbb560c085eb4a69e985fefe8d810a55dd84ba4

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

Resolution
unresolved
no resolver link, observed 2026-08-06T23:20:50.744486Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:20:50.744486Z digest=sha256:cd48aa75230a75e149e09992cb86a1d9a53f02b648ab34e0912083baf14c0a5d

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:20:55.860598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T23:20:50.881508Z digest=sha256:06fa40496558a03904de766c2b1d4244f3e693897b82db0721f6928fff053e7d

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

Resolution
unresolved
no resolver link, observed 2026-08-06T23:20:50.964181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:20:50.964181Z digest=sha256:9fe027206e5a7813994fb05bd9b050cbd02379b4b3bb767c457e0e824b9290af

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:20:55.559308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T23:20:51.065942Z digest=sha256:7b6adfe4b65af72490a303c70bf522a73fc83c7d07945561011a9261af36e853

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

Resolution
unresolved
no resolver link, observed 2026-08-06T23:20:51.207888Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:20:51.207888Z digest=sha256:9baed9430e07e0d327a3adf2ebc1a1da781f08e50124f75cee6a485962b0eb5f

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

Resolution
unresolved
no resolver link, observed 2026-08-06T23:20:51.354831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:20:51.354831Z digest=sha256:21591406f839f3d0c91dc6d4875e78885839bdbd2f2c79f0304e9381aac19539

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T23:20:51.462279Z digest=sha256:ab22da722d07f4137676788aadee6d0e0a126eaecfb52373a4e4b565285f94f5

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

Resolution
unresolved
no resolver link, observed 2026-08-06T23:20:51.606059Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:20:51.606059Z digest=sha256:8bfc89b2d84132694fbe9e949ec701d8a210279314d641cac5a0b52e2fadeb5c

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:20:55.207361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T23:20:51.705770Z digest=sha256:3baa01d18b7e55f55a8d10caa985918f25ca5f917589be9d777f3e122096edaf

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:20:54.984735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T23:20:51.790953Z digest=sha256:e9783bf2fd05a698c0602366f35db49a5c207704bd5eb7558201e08ca394a6bb

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:20:51.939371Z digest=sha256:e626059de047541d8b79394a10c60dffb55e885d438d6f58ae559743172d3f13

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:20:52.058128Z digest=sha256:09ffcccb0b132a3af21d4ebcc841cbbcbd03627ab849ba514a57a30b753a2b1f

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:20:52.194632Z digest=sha256:17ac869d9cf1b5d1374b52458269840cb0bacb090cb708ad7971b9488d27102d

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:20:52.417485Z digest=sha256:179acd75e1a1de212a0d29c14972b5f67a47a3be9034d921c8089486df9fadf4

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

Resolution
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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T23:20:52.724803Z digest=sha256:d0cca653e5d203f4615d550e6ea18b8a694b2d2ed830629f6c648aa67c13cead

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:20:52.818162Z digest=sha256:bb2f273fa223e215a103cfe9fc8624c06e529444669e41752ee2f589c3012c56

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

Resolution
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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T18:15:37.338442Z digest=sha256:bbf8f7492b808f57ef95fb9d460286e856ddc2078abc333694a060f12dbc68fc

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

Resolution
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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-21T09:17:53.731701Z digest=sha256:7830a2b4e1948fc50adf0711f2d5997bbf307e1e0d6ce78b42fe66bef64679f2

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T19:33:05.318987Z digest=sha256:b9543048361775d9d360eaa45ad6c275323accae61b5c36847dd4aadb7e7fd1c