Pith. sign in

Paper Citation Record · LEDGER

Physics-Informed Video Generation via Mixture-of-Experts Latent Alignment

As of 4 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 0 inbound Pith citation observations for arXiv:2606.04737.

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

pith.paper-citation-record.v1
2606.04737 v1

Coverage vector

measured 56 of 56 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-28T07:02:37.291472Z

measured 56 of 56 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+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

56 of 56 outbound references displayed

  • verified exact26
  • verified fuzzy0
  • unresolved29
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6c8cdfd8-30a4-499f-be2e-b2c06d37e05a · outbound

This paper cites Video diffusion models.Advances in neural information processing systems, 35:8633–8646, 2022.

Physics-Informed Video Generation via Mixture-of-Experts Latent Alignment Video diffusion models.Advances in neural information processing systems, 35:8633–8646, 2022

Reference 1

Resolution
unresolved
no resolver link, observed 2026-06-28T07:02:37.291472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T07:02:37.291472Z digest=sha256:778424ff85eea3966e844f2eff6dcceb9348cf96fa612c58cc3c4725e046a5a2

Observation e6d49f01-3d53-4800-845b-e7e84d3a7517 · outbound

This paper cites Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets.

Physics-Informed Video Generation via Mixture-of-Experts Latent Alignment Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-07-02T07:16:44.735890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-28T07:02:37.291472Z digest=sha256:2d8954fd08504886cc1445d8faa61678d326de74d1c2d7527cf64c6f3953299f

Observation a37a8ba2-69aa-4812-bd4d-4d8c06fb2b95 · outbound

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

Physics-Informed Video Generation via Mixture-of-Experts Latent Alignment HunyuanVideo: A Systematic Framework For Large Video Generative Models

Reference 3

Resolution
verified exact
local_arxiv, observed 2026-07-02T07:16:44.714925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-28T07:02:37.291472Z digest=sha256:149dd0a8ad301057bb48c63e3506724e52008e10308c39dd008ccf7e9eaae7dc

Observation 75e79710-fe0e-4b5d-881f-4e6ac2b837eb · outbound

This paper cites Cogvideox: Text-to-video diffusion models with an expert transformer.

Physics-Informed Video Generation via Mixture-of-Experts Latent Alignment Cogvideox: Text-to-video diffusion models with an expert transformer

Reference 4

Resolution
unresolved
no resolver link, observed 2026-06-28T07:02:37.291472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T07:02:37.291472Z digest=sha256:d41ebe6ac35d0549b8dd2ac4a61109b2c8a291136089019dbf6ee3647896e5a8

Observation c492fe98-8729-4ffe-b4f2-619c66b6732f · outbound

This paper cites Physgaussian: Physics-integrated 3d gaussians for generative dynamics.

Physics-Informed Video Generation via Mixture-of-Experts Latent Alignment Physgaussian: Physics-integrated 3d gaussians for generative dynamics

Reference 5

Resolution
unresolved
no resolver link, observed 2026-06-28T07:02:37.291472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T07:02:37.291472Z digest=sha256:4da5f2bd1dce4dc5f4e42a9cad2d47b5d2e9868675a88847b5ab0e9206bf8914

Observation bc18a93a-d20a-434a-8058-57f9e423e729 · outbound

This paper cites Physgen3d: Crafting a miniature interactive world from a single image.

Physics-Informed Video Generation via Mixture-of-Experts Latent Alignment Physgen3d: Crafting a miniature interactive world from a single image

Reference 6

Resolution
unresolved
no resolver link, observed 2026-06-28T07:02:37.291472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T07:02:37.291472Z digest=sha256:7a504399674b045249be3a4c52cd223b45c4afb7215c58017441d7f90c4216f5

Observation 578a201d-d542-490d-bd5a-cd526496d353 · outbound

This paper cites Physdreamer: Physics-based interaction with 3d objects via video generation.

Physics-Informed Video Generation via Mixture-of-Experts Latent Alignment Physdreamer: Physics-based interaction with 3d objects via video generation

Reference 7

Resolution
unresolved
no resolver link, observed 2026-06-28T07:02:37.291472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T07:02:37.291472Z digest=sha256:8fe691f920c3d5576f9de99ba82a2aa46b3b06e6cecfe6dd9fc5bcb2007fefb5

Observation 3f93f48d-8d65-4ac9-adb0-63353011c0ee · outbound

This paper cites Won- derplay: Dynamic 3d scene generation from a single image and actions.arXiv preprint arXiv:2505.18151.

Physics-Informed Video Generation via Mixture-of-Experts Latent Alignment Won- derplay: Dynamic 3d scene generation from a single image and actions.arXiv preprint arXiv:2505.18151

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-07-02T07:16:44.721429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-28T07:02:37.291472Z digest=sha256:bd2c39633b9f4d32c9a3e61b9e0a967d56f8ded11bfc08b118270ab7989c3506

Observation fcafcafb-c8b4-44f9-b137-c8149950f0c0 · outbound

This paper cites Phyt2v: Llm-guided iterative self-refinement for physics-grounded text-to-video generation.

Physics-Informed Video Generation via Mixture-of-Experts Latent Alignment Phyt2v: Llm-guided iterative self-refinement for physics-grounded text-to-video generation

Reference 9

Resolution
unresolved
no resolver link, observed 2026-06-28T07:02:37.291472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T07:02:37.291472Z digest=sha256:950125464dacaf2d3f105fcf50af91ad5d0a9cba43d59a2dd87c9bf567921259

Observation 1174c2dd-b0bf-45d5-9449-be741b8504dc · outbound

This paper cites Phyrpr: Training-free physics- constrained video generation.

Physics-Informed Video Generation via Mixture-of-Experts Latent Alignment Phyrpr: Training-free physics- constrained video generation

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-07-02T07:16:44.718056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-28T07:02:37.291472Z digest=sha256:05ebfdab81693d8edb22cea701a60e84ac7b56140e3974ff655c3c0cbbccfd45

Observation 4e300e85-ed6d-4e35-a7ef-f053429e8a28 · outbound

This paper cites Vlipp: Towards physically plausible video generation with vision and language informed physical prior.

Physics-Informed Video Generation via Mixture-of-Experts Latent Alignment Vlipp: Towards physically plausible video generation with vision and language informed physical prior

Reference 11

Resolution
unresolved
no resolver link, observed 2026-06-28T07:02:37.291472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T07:02:37.291472Z digest=sha256:11b50cc2a46429d4652dcde5c22d6bdc0be4e6935786bb1856eea5a308ef4539

Observation 0ea5f57c-0e87-4add-8ecd-8046c70caf8c · outbound

This paper cites arXiv preprint arXiv:2601.10553 , year=.

Physics-Informed Video Generation via Mixture-of-Experts Latent Alignment arXiv preprint arXiv:2601.10553 , year=

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-07-02T07:16:44.746011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-28T07:02:37.291472Z digest=sha256:ed6cfb90bbbbff8799181ab3046034b75fa327209248940a1e7c635401abbce7

Observation 84158ce6-4bd9-4b12-b364-d533151b041e · outbound

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

Physics-Informed Video Generation via Mixture-of-Experts Latent Alignment Phantom: Physics-Infused Video Generation via Joint Modeling of Visual and Latent Physical Dynamics

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-07-02T07:16:44.731305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-28T07:02:37.291472Z digest=sha256:9c780dc46e6c2437152ad40cca5e003a745db8e41e6388c89999292ed23a48f3

Observation 59e04899-31a3-45e5-afd2-48aabc9ede55 · outbound

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

Physics-Informed Video Generation via Mixture-of-Experts Latent Alignment WISA: World Simulator Assistant for Physics-Aware Text-to-Video Generation

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-07-02T07:16:44.712276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-28T07:02:37.291472Z digest=sha256:e9de5d130c40b767031a41e0958194996ed1d523a531c9b5ed0f98178807f1b8

Observation acce5b92-5621-4f9b-aab2-ceed5d18439f · outbound

This paper cites ProPhy: Progressive Physical Alignment for Dynamic World Simulation.

Physics-Informed Video Generation via Mixture-of-Experts Latent Alignment ProPhy: Progressive Physical Alignment for Dynamic World Simulation

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-07-02T07:16:44.742878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-28T07:02:37.291472Z digest=sha256:1d1bc64faf0ec825294a37431a86f2151400fc2476b4017c7b99b05f7c543a72

Observation 515d0e1e-b80c-43ad-a427-4429e0863abf · outbound

This paper cites Wan: Open and Advanced Large-Scale Video Generative Models.

Physics-Informed Video Generation via Mixture-of-Experts Latent Alignment Wan: Open and Advanced Large-Scale Video Generative Models

Reference 16

Resolution
verified exact
local_arxiv, observed 2026-07-02T07:16:44.697405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-28T07:02:37.291472Z digest=sha256:16f8735d420bbcaf5dc6834e5ea4241f0ec1650b4e364251322f9020bd36ba00

Observation 996c34d2-6eb3-4f70-93e5-8d242d2fe4e4 · outbound

This paper cites SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis.

Physics-Informed Video Generation via Mixture-of-Experts Latent Alignment SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 17

Resolution
verified exact
local_arxiv, observed 2026-07-02T07:16:44.693308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-28T07:02:37.291472Z digest=sha256:91054c7ba7d486120aa1dd14dd76e9f103f0502845cfccc2fe5164f2762e057f

Observation 2f8e4cf2-7ba2-4137-93f3-ebe3b0288fa3 · outbound

This paper cites Pyramidal flow matching for efficient video generative modeling.arXiv preprint arXiv:2410.05954.

Physics-Informed Video Generation via Mixture-of-Experts Latent Alignment Pyramidal flow matching for efficient video generative modeling.arXiv preprint arXiv:2410.05954

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-07-02T07:16:44.716371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-28T07:02:37.291472Z digest=sha256:d43d725250513c96fe94b51e36f1d74153ce06992d5d35c89871caab8a80d884

Observation 341bdeb6-3a50-42df-b4bc-43914e6af8b8 · outbound

This paper cites Flowvid: Taming imperfect optical flows for consistent video-to-video synthesis.

Physics-Informed Video Generation via Mixture-of-Experts Latent Alignment Flowvid: Taming imperfect optical flows for consistent video-to-video synthesis

Reference 19

Resolution
unresolved
no resolver link, observed 2026-06-28T07:02:37.291472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T07:02:37.291472Z digest=sha256:96c8a069f287265f088d2d2470e91482d5578f93af104c58de36d2a58c38ebc7

Observation fcc281d8-3e7e-4465-8d2d-8d5739501636 · outbound

This paper cites WorldDreamer: Towards General World Models for Video Generation via Predicting Masked Tokens.

Physics-Informed Video Generation via Mixture-of-Experts Latent Alignment WorldDreamer: Towards General World Models for Video Generation via Predicting Masked Tokens

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-07-02T07:16:44.709304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-28T07:02:37.291472Z digest=sha256:a064bcb01623d8f762b514d3dc189013dec1947dc83b2a67178f578abbbc472b

Observation 2b72ac52-2c62-47d1-ba21-42f63560ca64 · outbound

This paper cites V oyager: Long-range and world-consistent video diffusion for explorable 3d scene generation.ACM Transactions on Graphics (TOG), 44(6):1–15, 2025.

Physics-Informed Video Generation via Mixture-of-Experts Latent Alignment V oyager: Long-range and world-consistent video diffusion for explorable 3d scene generation.ACM Transactions on Graphics (TOG), 44(6):1–15, 2025

Reference 21

Resolution
unresolved
no resolver link, observed 2026-06-28T07:02:37.291472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T07:02:37.291472Z digest=sha256:38579f3ba14f49f187e3d52131ff7f57024daacaabf65f82b0c7639321ba0b7c

Observation aa03d9a4-76b0-4a9d-bfe5-97a8790f43c4 · outbound

This paper cites Make it move: controllable image-to-video generation with text descriptions.

Physics-Informed Video Generation via Mixture-of-Experts Latent Alignment Make it move: controllable image-to-video generation with text descriptions

Reference 22

Resolution
unresolved
no resolver link, observed 2026-06-28T07:02:37.291472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T07:02:37.291472Z digest=sha256:173985fbf386272df99b70a179ab70febe825a40066ae892634027aee6ee1d18

Observation 15912955-fb1d-4ac3-8698-73be24cc9cab · outbound

This paper cites Panacea: Panoramic and controllable video generation for autonomous driving.

Physics-Informed Video Generation via Mixture-of-Experts Latent Alignment Panacea: Panoramic and controllable video generation for autonomous driving

Reference 23

Resolution
unresolved
no resolver link, observed 2026-06-28T07:02:37.291472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T07:02:37.291472Z digest=sha256:84539991f7c6583d471a9342e30f04e018002ef7df4529e032d982117a28f4d4

Observation 53e81103-7fe3-464c-8b40-0a0132e37345 · outbound

This paper cites Motion-i2v: Consistent and controllable image-to-video generation with explicit motion modeling.

Physics-Informed Video Generation via Mixture-of-Experts Latent Alignment Motion-i2v: Consistent and controllable image-to-video generation with explicit motion modeling

Reference 24

Resolution
unresolved
no resolver link, observed 2026-06-28T07:02:37.291472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T07:02:37.291472Z digest=sha256:18bb322b0dff56861eda9e45c3cd35dfa6c1065e251c948d98d52ee1297ad67c

Observation 06c1bef4-147b-49b8-9e6a-808991c3487e · outbound

This paper cites OpenVid-1M: A Large-Scale High-Quality Dataset for Text-to-video Generation.

Physics-Informed Video Generation via Mixture-of-Experts Latent Alignment OpenVid-1M: A Large-Scale High-Quality Dataset for Text-to-video Generation

Reference 25

Resolution
verified exact
local_arxiv, observed 2026-07-02T07:16:44.724614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-28T07:02:37.291472Z digest=sha256:8521ee2c4ad7d022c5ec105ca2b59a6f1973193b75cc0a1e6a91fba56bf00a09

Observation ace5d16a-c636-40a1-98c1-e3b9d16b199d · outbound

This paper cites Are we ready for autonomous driving? the kitti vision benchmark suite.

Physics-Informed Video Generation via Mixture-of-Experts Latent Alignment Are we ready for autonomous driving? the kitti vision benchmark suite

Reference 26

Resolution
unresolved
no resolver link, observed 2026-06-28T07:02:37.291472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T07:02:37.291472Z digest=sha256:a33ef0d0574675ba920d74c5ed22c42f77bf701b7c5419156495afc400abed4a

Observation 6d836230-207d-4764-b891-fe6c0fdcb2c9 · outbound

This paper cites Scalability in perception for autonomous driving: Waymo open dataset.

Physics-Informed Video Generation via Mixture-of-Experts Latent Alignment Scalability in perception for autonomous driving: Waymo open dataset

Reference 27

Resolution
unresolved
no resolver link, observed 2026-06-28T07:02:37.291472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T07:02:37.291472Z digest=sha256:c64edc68c177f3821fde71a2bda8321d9fd99c0d58e05dd0c00951ca5c5cec57

Observation 0f8ec3eb-70b6-4884-b4e6-72129c28253c · outbound

This paper cites VidGen-1M: A Large-Scale Dataset for Text-to-video Generation.

Physics-Informed Video Generation via Mixture-of-Experts Latent Alignment VidGen-1M: A Large-Scale Dataset for Text-to-video Generation

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-07-02T07:16:44.728428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-28T07:02:37.291472Z digest=sha256:99d8d6bf2e8e6d6dc240bfed5266e6173a5102ae40e7e50e58247a73d8f6aa7e

Observation 376cf0df-c9f4-40f2-b6ea-2cffaae4182b · outbound

This paper cites Physgen: Rigid-body physics- grounded image-to-video generation.

Physics-Informed Video Generation via Mixture-of-Experts Latent Alignment Physgen: Rigid-body physics- grounded image-to-video generation

Reference 29

Resolution
unresolved
no resolver link, observed 2026-06-28T07:02:37.291472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T07:02:37.291472Z digest=sha256:790784360a9dfebeee0e5a253596f5880b0b726c4ce419381c8c1d11eff2b5ff

Observation af5f1c60-f345-4124-be75-6c91efb64aea · outbound

This paper cites OmniPhysGS: 3D Constitutive Gaussians for General Physics-Based Dynamics Generation.

Physics-Informed Video Generation via Mixture-of-Experts Latent Alignment OmniPhysGS: 3D Constitutive Gaussians for General Physics-Based Dynamics Generation

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-07-02T07:16:44.732459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-28T07:02:37.291472Z digest=sha256:1fdf9ee24b7e9cb657e5ca873e7bfd2dd7b9e75d43a778e1c000981253ceadcf

Observation c888c165-5863-468a-97c7-3202b06ec6f2 · outbound

This paper cites What about gravity in video generation? post-training newton’s laws with verifiable rewards.arXiv preprint arXiv:2512.00425.

Physics-Informed Video Generation via Mixture-of-Experts Latent Alignment What about gravity in video generation? post-training newton’s laws with verifiable rewards.arXiv preprint arXiv:2512.00425

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-07-02T07:16:44.739948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-28T07:02:37.291472Z digest=sha256:ed03802b0836d6829f881b7de321d579c57417d5d47f4c9cc6158a7248c1bf74

Observation b6df8915-0cc5-4738-99db-4da69ecb2159 · outbound

This paper cites Realwonder: Real-time physical action-conditioned video generation.arXiv preprint arXiv:2603.05449.

Physics-Informed Video Generation via Mixture-of-Experts Latent Alignment Realwonder: Real-time physical action-conditioned video generation.arXiv preprint arXiv:2603.05449

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-07-02T07:16:44.786246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-28T07:02:37.291472Z digest=sha256:fc85d7b3592d8d36c8484b9540d1e85fdfd7911c4acf510e1ebfb0129e98f044

Observation d6041bd0-0888-4212-9ef5-6cf0f4826e00 · outbound

This paper cites Neuma: Neural material adaptor for visual grounding of intrinsic dynamics.Advances in Neural Information Processing Systems, 37:65643–65669, 2024.

Physics-Informed Video Generation via Mixture-of-Experts Latent Alignment Neuma: Neural material adaptor for visual grounding of intrinsic dynamics.Advances in Neural Information Processing Systems, 37:65643–65669, 2024

Reference 33

Resolution
unresolved
no resolver link, observed 2026-06-28T07:02:37.291472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T07:02:37.291472Z digest=sha256:885d544523816d15e5662b394a577d33a359524fc5f819938080ef5aac410dd4

Observation e58549fb-419a-4cdb-ae14-a923be6e0b10 · outbound

This paper cites Newtongen: Physics- consistent and controllable text-to-video generation via neu- ral newtonian dynamics.arXiv preprint arXiv:2509.21309.

Physics-Informed Video Generation via Mixture-of-Experts Latent Alignment Newtongen: Physics- consistent and controllable text-to-video generation via neu- ral newtonian dynamics.arXiv preprint arXiv:2509.21309

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-07-02T07:16:44.782866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-28T07:02:37.291472Z digest=sha256:4091a2ef82b96ba024d01adfb65dac96f76381f74ea176f7a44b38ddc8e3c86a

Observation 3624d626-6bd8-400e-94fe-2e38a1ad3c20 · outbound

This paper cites Phys4dgen: Physics- compliant 4d generation with multi-material composition perception.

Physics-Informed Video Generation via Mixture-of-Experts Latent Alignment Phys4dgen: Physics- compliant 4d generation with multi-material composition perception

Reference 35

Resolution
unresolved
no resolver link, observed 2026-06-28T07:02:37.291472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T07:02:37.291472Z digest=sha256:ebf75bd2c4efb8ef7ff2ccc4db4396f03d268eb25b1ca7b6cd231974126bd6c3

Observation 17764282-7f57-418c-aab6-828b6d25da46 · outbound

This paper cites Physical Simulator In-the-Loop Video Generation.arXiv preprint arXiv:2603.06408, March 2026.

Physics-Informed Video Generation via Mixture-of-Experts Latent Alignment Physical Simulator In-the-Loop Video Generation.arXiv preprint arXiv:2603.06408, March 2026

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-07-02T07:16:44.770748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-28T07:02:37.291472Z digest=sha256:d4b1e2ded61c341e9638f9a3aa43bcb6977457022cf4bbf43e5ae4aa5ce81418

Observation 8b4fca05-4421-4e91-827d-f6063e958814 · outbound

This paper cites Cp4d: Composi- tional physics-aware 4d scene generation.

Physics-Informed Video Generation via Mixture-of-Experts Latent Alignment Cp4d: Composi- tional physics-aware 4d scene generation

Reference 37

Resolution
unresolved
no resolver link, observed 2026-06-28T07:02:37.291472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T07:02:37.291472Z digest=sha256:342c6d056e8d0e66f94362be91ac8caceb73e2bb63bf847e8f8c21c329e0efd6

Observation 9718caa9-7bde-4aac-a4b4-dc4141d63583 · outbound

This paper cites Learning physics-grounded 4d dynamics with neural gaussian force fields.

Physics-Informed Video Generation via Mixture-of-Experts Latent Alignment Learning physics-grounded 4d dynamics with neural gaussian force fields

Reference 38

Resolution
unresolved
no resolver link, observed 2026-06-28T07:02:37.291472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T07:02:37.291472Z digest=sha256:7f98c28198b37773b313e82515760559d56fe387ac6032b5fded276fbc6217e4

Observation 0afcace6-7723-41b8-9d03-2a4cb2b6f8d9 · outbound

This paper cites Chain of event-centric causal thought for physically plausible video generation.

Physics-Informed Video Generation via Mixture-of-Experts Latent Alignment Chain of event-centric causal thought for physically plausible video generation

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-07-02T07:16:44.762404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-28T07:02:37.291472Z digest=sha256:3d0406ed54cbc7fb413ccb8b312d60ffcfdbd58d73d7e52d4634e2caa568a67d

Observation 82558469-6c06-4310-a168-d1df9ffc5073 · outbound

This paper cites VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models.

Physics-Informed Video Generation via Mixture-of-Experts Latent Alignment VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models

Reference 40

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T07:16:44.766781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-28T07:02:37.291472Z digest=sha256:a9f5af78141bd3a3ebfd3f4d2eb999b53bf64cc587fcb40c9decc78fe7ba5bdb

Observation ce9a569b-0b0f-413c-b522-2944910075f5 · outbound

This paper cites PhyGDPO: Physics-Aware Groupwise Direct Preference Optimization for Physically Consistent Text-to-Video Generation.

Physics-Informed Video Generation via Mixture-of-Experts Latent Alignment PhyGDPO: Physics-Aware Groupwise Direct Preference Optimization for Physically Consistent Text-to-Video Generation

Reference 41

Resolution
verified exact
local_arxiv, observed 2026-07-02T07:16:44.774380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-28T07:02:37.291472Z digest=sha256:edf37839f9c4e583a315a1983104ea165d0ba74a9f9ef1f50452f4962ed697a9

Observation ad7f380a-e1dc-4704-bb38-8336d6d0ae05 · outbound

This paper cites VideoPhy: Evaluating Physical Commonsense for Video Generation.

Physics-Informed Video Generation via Mixture-of-Experts Latent Alignment VideoPhy: Evaluating Physical Commonsense for Video Generation

Reference 42

Resolution
verified exact
local_arxiv, observed 2026-07-02T07:16:44.779670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-28T07:02:37.291472Z digest=sha256:4a8a2afd96d280a0c636a705479e07a05b93a2ad81f8e46a39fbd595d1876d28

Observation d8879029-c4bb-428d-9030-f6d732fd5ae2 · outbound

This paper cites VideoPhy-2: A Challenging Action-Centric Physical Commonsense Evaluation in Video Generation.

Physics-Informed Video Generation via Mixture-of-Experts Latent Alignment VideoPhy-2: A Challenging Action-Centric Physical Commonsense Evaluation in Video Generation

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-07-02T07:16:44.758956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-28T07:02:37.291472Z digest=sha256:f5024380c876a3b47bbd48f942832f3aadf7339ef2794b0cc9247faef41d9682

Observation c0694b18-4a2d-4c96-bc2f-2fdf5d4a00b1 · outbound

This paper cites VBench-2.0: Advancing Video Generation Benchmark Suite for Intrinsic Faithfulness.

Physics-Informed Video Generation via Mixture-of-Experts Latent Alignment VBench-2.0: Advancing Video Generation Benchmark Suite for Intrinsic Faithfulness

Reference 44

Resolution
verified exact
local_arxiv, observed 2026-07-02T07:16:44.749104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-28T07:02:37.291472Z digest=sha256:c8bf6fd134704f7f9be6bdd08e92de36414d1c4da988de5785e1b4f3c626e470

Observation 31caab3b-21bb-4594-b620-3b0f604174d2 · outbound

This paper cites Vbench: Comprehensive benchmark suite for video generative models.

Physics-Informed Video Generation via Mixture-of-Experts Latent Alignment Vbench: Comprehensive benchmark suite for video generative models

Reference 45

Resolution
unresolved
no resolver link, observed 2026-06-28T07:02:37.291472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T07:02:37.291472Z digest=sha256:ea88b86bf235aaa6e29bdf81b198cd10fa149219ffe3bbd8a05b7f325aa5f277

Observation 903eadfb-e9f9-4543-ae92-ae4f2956b0f9 · outbound

This paper cites Towards World Simulator: Crafting Physical Commonsense-Based Benchmark for Video Generation.

Physics-Informed Video Generation via Mixture-of-Experts Latent Alignment Towards World Simulator: Crafting Physical Commonsense-Based Benchmark for Video Generation

Reference 46

Resolution
verified exact
local_arxiv, observed 2026-07-02T07:16:44.752562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-28T07:02:37.291472Z digest=sha256:5c9788e3ba2c0870890c6717faecc1f834aefcb50b5a318444b9e6cdda890d78

Observation 7c0850f3-a87a-4f06-b37d-3a3ff7fe74f7 · outbound

This paper cites Decoupled Weight Decay Regularization.

Physics-Informed Video Generation via Mixture-of-Experts Latent Alignment Decoupled Weight Decay Regularization

Reference 47

Resolution
verified exact
local_arxiv, observed 2026-07-02T07:16:44.755665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-28T07:02:37.291472Z digest=sha256:b5c7e4723be8a40ce7a5fdae91f16103018a20e3b3abb424f1642a1ed99065c7

Observation 3d1140e1-10f5-4990-9c67-69a48e63ae97 · outbound

This paper cites refined_prompt.

Physics-Informed Video Generation via Mixture-of-Experts Latent Alignment refined_prompt

Reference 48

Resolution
unresolved
no resolver link, observed 2026-06-28T07:02:37.291472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T07:02:37.291472Z digest=sha256:a9fd5ee697acfeeb66c6a305e9822b807328ba21e80c96235e3f4ef8d47a3777

Observation 32e1e75e-48f0-4e06-b331-7bc7f9d6330b · outbound

This paper cites The residual ∂tdk −u k comes directly from the displacement–velocity relation ∂td=u.

Physics-Informed Video Generation via Mixture-of-Experts Latent Alignment The residual ∂tdk −u k comes directly from the displacement–velocity relation ∂td=u

Reference 49

Resolution
unresolved
no resolver link, observed 2026-06-28T07:02:37.291472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T07:02:37.291472Z digest=sha256:ceb64593ed5d876395e2ec39a5e0f02710fb8d957f9b948a5f849885b956668d

Observation 7a489cbc-a0fe-49aa-a532-788b628e906a · outbound

This paper cites an unresolved cited work.

Physics-Informed Video Generation via Mixture-of-Experts Latent Alignment Unresolved cited work

Reference 50

Resolution
unresolved
no resolver link, observed 2026-06-28T07:02:37.291472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T07:02:37.291472Z digest=sha256:78f4c7db612f35216527c6edfaba5930bd61413117093ed07b7d748e0fb4835f

Observation 6875c27f-8b57-40e1-a436-ec67bdcbab7c · outbound

This paper cites The continuity residual ∂tρk +∇·(ρ kuk) is the conservative form of mass conservation.

Physics-Informed Video Generation via Mixture-of-Experts Latent Alignment The continuity residual ∂tρk +∇·(ρ kuk) is the conservative form of mass conservation

Reference 51

Resolution
unresolved
no resolver link, observed 2026-06-28T07:02:37.291472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T07:02:37.291472Z digest=sha256:5e390db7d2f1843d656931a39f2b3d746e739a525deda1e0da9035f2973ab50d

Observation e8194b72-dff0-4ce9-a978-4fc3cb8cd1d7 · outbound

This paper cites The continuity term again comes from ∂tρ+∇ ·(ρu) = 0.

Physics-Informed Video Generation via Mixture-of-Experts Latent Alignment The continuity term again comes from ∂tρ+∇ ·(ρu) = 0

Reference 52

Resolution
unresolved
no resolver link, observed 2026-06-28T07:02:37.291472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T07:02:37.291472Z digest=sha256:809a23d980d44db93ae4aee7031f143118fa256eadab131ed2a97018b3323965

Observation 4981661f-ca09-4e35-9be5-d1f8c731af80 · outbound

This paper cites an unresolved cited work.

Physics-Informed Video Generation via Mixture-of-Experts Latent Alignment Unresolved cited work

Reference 53

Resolution
unresolved
no resolver link, observed 2026-06-28T07:02:37.291472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T07:02:37.291472Z digest=sha256:eb2d1231e1f3a3e5ba5db90c860eb8bdfe6479df8250e0c93ca569d57f05660a

Observation 9386e8fb-3106-4a99-9ce6-f7b3ad2735b2 · outbound

This paper cites The kinematic term ∂tdk −u k again enforces the relation between displacement and velocity.

Physics-Informed Video Generation via Mixture-of-Experts Latent Alignment The kinematic term ∂tdk −u k again enforces the relation between displacement and velocity

Reference 54

Resolution
unresolved
no resolver link, observed 2026-06-28T07:02:37.291472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T07:02:37.291472Z digest=sha256:24730947e9babf48272555d37017a2ecc47a1360addf24b636f2bf4567bbc014

Observation ba5c80b1-edab-4bf5-b151-3378e8df5b76 · outbound

This paper cites The term ∂tTk +∇·(u k ¯Tk)− κ∆Tk combines temporal storage, conservative advection, and diffusion, while ∇Tk limits isolated temperature spikes.

Physics-Informed Video Generation via Mixture-of-Experts Latent Alignment The term ∂tTk +∇·(u k ¯Tk)− κ∆Tk combines temporal storage, conservative advection, and diffusion, while ∇Tk limits isolated temperature spikes

Reference 55

Resolution
unresolved
no resolver link, observed 2026-06-28T07:02:37.291472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T07:02:37.291472Z digest=sha256:64c5065836cd8092be3a953f36e76f9840ac1362abbe44042f8e3499e24c1b83

Observation 0468624c-c070-435b-8982-4e7aa0c765be · outbound

This paper cites w/o Expert Routing.

Physics-Informed Video Generation via Mixture-of-Experts Latent Alignment w/o Expert Routing

Reference 56

Resolution
unresolved
no resolver link, observed 2026-06-28T07:02:37.291472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T07:02:37.291472Z digest=sha256:5662e01116995f999fae58f53c5fbf1edbca428b24da5b5b5021de67dcd36744

Pith citing papers

No inbound Pith citation observations are available.