Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-20T07:28:20.248452Z
Paper Citation Record · LEDGER
PhyWorld: Physics-Faithful World Model for Video Generation
As of 19 August 2026, this Paper Citation Record lists 64 of 64 outbound references and 1 inbound Pith citation observation for arXiv:2605.19242.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-08T07:10:33.826140Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-08T07:14:45.189730Z
Reference resolution
64 of 64 outbound references displayed
- verified exact37
- verified fuzzy25
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch2
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation a243100c-b0b7-43c1-b2e2-334f733df2c4 · outbound
This paper cites Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models.
PhyWorld: Physics-Faithful World Model for Video Generation Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models
Reference 1
- Resolution
- verified exact
- local_arxiv, observed 2026-05-20T07:33:07.628793Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation dbac46c9-33bb-4c4c-8dfe-5866633ec6b0 · outbound
This paper cites CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer.
PhyWorld: Physics-Faithful World Model for Video Generation CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer
Reference 2
- Resolution
- verified exact
- local_arxiv, observed 2026-05-20T07:33:07.615118Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 69863998-34f2-4cb3-8c98-2f504caefe43 · outbound
This paper cites Video models are zero-shot learners and reasoners.
PhyWorld: Physics-Faithful World Model for Video Generation Video models are zero-shot learners and reasoners
Reference 3
- Resolution
- verified exact
- local_arxiv, observed 2026-05-20T07:33:07.612602Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 4f61161b-69bc-4e99-b58a-21de0deb8575 · outbound
This paper cites Cosmos World Foundation Model Platform for Physical AI.
PhyWorld: Physics-Faithful World Model for Video Generation Cosmos World Foundation Model Platform for Physical AI
Reference 4
- Resolution
- verified exact
- local_arxiv, observed 2026-05-20T07:33:07.573153Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation ef4eaf4e-8cce-4cba-aa86-4fef9eae7410 · outbound
This paper cites Wan: Open and Advanced Large-Scale Video Generative Models.
PhyWorld: Physics-Faithful World Model for Video Generation Wan: Open and Advanced Large-Scale Video Generative Models
Reference 5
- Resolution
- verified exact
- local_arxiv, observed 2026-05-20T07:33:07.578777Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 47e5b0af-03d1-4c8e-a2a4-10e4aacd9b11 · outbound
This paper cites VBench: Comprehensive benchmark suite for video generative models.
PhyWorld: Physics-Faithful World Model for Video Generation VBench: Comprehensive benchmark suite for video generative models
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T07:33:23.999229Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation b0eb3ff4-f7a9-4687-b518-b561f545bd77 · outbound
This paper cites Understanding world or predicting future? a comprehensive survey of world models.ACM Computing Surveys, 58(3):1–38.
PhyWorld: Physics-Faithful World Model for Video Generation Understanding world or predicting future? a comprehensive survey of world models.ACM Computing Surveys, 58(3):1–38
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T07:33:23.997551Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation b168b687-71c0-4596-935d-8fa870bf346f · outbound
This paper cites A Comprehensive Survey on World Models for Embodied AI.
PhyWorld: Physics-Faithful World Model for Video Generation A Comprehensive Survey on World Models for Embodied AI
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T01:14:24.976532Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 72ea1d9f-91aa-4c88-bc1c-f78fecaa06e2 · outbound
This paper cites Simulating the visual world with artificial intelligence: A roadmap.
PhyWorld: Physics-Faithful World Model for Video Generation Simulating the visual world with artificial intelligence: A roadmap
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T07:33:07.589867Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation dace664c-aa55-47b6-b0a2-dd75fa405e78 · outbound
This paper cites A Survey: Learning Embodied Intelligence from Physical Simulators and World Models.
PhyWorld: Physics-Faithful World Model for Video Generation A Survey: Learning Embodied Intelligence from Physical Simulators and World Models
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T07:33:07.610198Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation fb8c8f22-cbd2-476d-9e90-5a9de5290a75 · outbound
This paper cites Open-source multimodal moxin models with moxin-vlm and moxin-vla.
PhyWorld: Physics-Faithful World Model for Video Generation Open-source multimodal moxin models with moxin-vlm and moxin-vla
Reference 11
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T07:33:07.553889Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation bde30324-447d-45fa-b538-054dd951d0a9 · outbound
This paper cites 7B Fully Open Source Moxin-LLM/VLM -- From Pretraining to GRPO-based Reinforcement Learning Enhancement.
PhyWorld: Physics-Faithful World Model for Video Generation 7B Fully Open Source Moxin-LLM/VLM -- From Pretraining to GRPO-based Reinforcement Learning Enhancement
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T07:33:07.545335Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 10f0360c-90d3-41a6-8c6c-d45776729e8b · outbound
This paper cites Exploring the Evolution of Physics Cognition in Video Generation: A Survey.
PhyWorld: Physics-Faithful World Model for Video Generation Exploring the Evolution of Physics Cognition in Video Generation: A Survey
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T07:33:07.537094Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation caff9054-6f0d-4667-a594-d415a215614b · outbound
This paper cites Generative Physical AI in Vision: A Survey.
PhyWorld: Physics-Faithful World Model for Video Generation Generative Physical AI in Vision: A Survey
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T07:33:07.539755Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation bd2c83cc-563e-45d0-aa7c-f1d7083a7278 · outbound
This paper cites From specialist to generalist: A comprehensive survey on world models.Authorea Preprints.
PhyWorld: Physics-Faithful World Model for Video Generation From specialist to generalist: A comprehensive survey on world models.Authorea Preprints
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T07:33:24.000912Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation f909970c-5778-4f22-acf2-a95a4dfbdb3f · outbound
This paper cites Learning to model the world: A survey of world models in artificial intelligence.Authorea Preprints.
PhyWorld: Physics-Faithful World Model for Video Generation Learning to model the world: A survey of world models in artificial intelligence.Authorea Preprints
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T07:33:23.995798Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation f4b160fd-9140-4d17-838c-7e05c5f750ca · outbound
This paper cites Squat: Quant small language models on the edge.
PhyWorld: Physics-Faithful World Model for Video Generation Squat: Quant small language models on the edge
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T07:33:24.004617Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 040b0f30-9bcc-47a4-8d07-a98bcc4d105a · outbound
This paper cites Pruning foundation models for high accuracy without retraining.
PhyWorld: Physics-Faithful World Model for Video Generation Pruning foundation models for high accuracy without retraining
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T07:33:23.990665Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation dcf7a5e2-958c-4585-8bf4-f5da809eca32 · outbound
This paper cites Search for efficient large language models.
PhyWorld: Physics-Faithful World Model for Video Generation Search for efficient large language models
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T07:33:23.994066Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 1e838db4-0b61-47bb-b7e2-79f236ccbfe5 · outbound
This paper cites Quartdepth: Post-training quantization for real-time depth estimation on the edge.
PhyWorld: Physics-Faithful World Model for Video Generation Quartdepth: Post-training quantization for real-time depth estimation on the edge
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T07:33:24.002714Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 4b87c62e-455c-45df-bf3b-1db012641db0 · outbound
This paper cites Hierarchical World Models as Visual Whole-Body Humanoid Controllers.
PhyWorld: Physics-Faithful World Model for Video Generation Hierarchical World Models as Visual Whole-Body Humanoid Controllers
Reference 21
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T07:33:07.548310Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation e1e3d42c-8b2a-46a1-9028-35a7909cd14e · outbound
This paper cites Learning latent action world models in the wild.
PhyWorld: Physics-Faithful World Model for Video Generation Learning latent action world models in the wild
Reference 22
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T07:33:07.533053Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 4acf341c-0fd4-47f1-a9f5-413b98451037 · outbound
This paper cites arXiv preprint arXiv:2601.10553 , year=.
PhyWorld: Physics-Faithful World Model for Video Generation arXiv preprint arXiv:2601.10553 , year=
Reference 23
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T07:33:07.620861Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 018a42f3-e417-4a93-a6f4-d1d56cdc4cb7 · outbound
This paper cites Cosmos Policy: Fine-Tuning Video Models for Visuomotor Control and Planning.
PhyWorld: Physics-Faithful World Model for Video Generation Cosmos Policy: Fine-Tuning Video Models for Visuomotor Control and Planning
Reference 24
- Resolution
- verified exact
- local_arxiv, observed 2026-05-20T07:33:07.600904Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation b91a31d6-730a-49cb-88f7-831c0919cd02 · outbound
This paper cites Cambrian-S: Towards Spatial Supersensing in Video.
PhyWorld: Physics-Faithful World Model for Video Generation Cambrian-S: Towards Spatial Supersensing in Video
Reference 25
- Resolution
- verified exact
- local_arxiv, observed 2026-05-20T07:33:07.521126Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 5b37fdd0-2aa8-41d2-aac4-09e63f2f7e24 · outbound
This paper cites Vagen: Reinforcingworldmodelreasoningformulti-turnvlm agents.arXivpreprint.
PhyWorld: Physics-Faithful World Model for Video Generation Vagen: Reinforcingworldmodelreasoningformulti-turnvlm agents.arXivpreprint
Reference 26
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T07:33:07.524250Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation a6f9cb59-6c50-44d8-86a7-e073954cb883 · outbound
This paper cites arXiv preprint arXiv:2601.03782 (2026).
PhyWorld: Physics-Faithful World Model for Video Generation arXiv preprint arXiv:2601.03782 (2026)
Reference 27
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T07:33:07.530191Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 903b7c8e-3ab8-4d44-9234-6385fd89c480 · outbound
This paper cites Sparse learning for state space models on mobile.
PhyWorld: Physics-Faithful World Model for Video Generation Sparse learning for state space models on mobile
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T07:33:23.992468Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 6e57d839-7afd-4229-abb2-bd774f092a6a · outbound
This paper cites Exploring token pruning in vision state space models.
PhyWorld: Physics-Faithful World Model for Video Generation Exploring token pruning in vision state space models
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T07:33:23.985417Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation a74ace31-f8d9-4ed5-bb9b-435b044f7d52 · outbound
This paper cites Rethinking token reduction for state space models.
PhyWorld: Physics-Faithful World Model for Video Generation Rethinking token reduction for state space models
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T07:33:23.987055Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation d49bb6d2-5ba1-4e59-b39d-69c208eecbc3 · outbound
This paper cites Cocopie: enabling real-time ai on off-the-shelf mobile devices via compression-compilation co-design.
PhyWorld: Physics-Faithful World Model for Video Generation Cocopie: enabling real-time ai on off-the-shelf mobile devices via compression-compilation co-design
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T07:33:23.988868Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 44484835-d87a-40a3-b97c-de2df62e74e1 · outbound
This paper cites Effective moe-based llm compression by exploiting heterogeneous inter-group experts routing frequency and information density.
PhyWorld: Physics-Faithful World Model for Video Generation Effective moe-based llm compression by exploiting heterogeneous inter-group experts routing frequency and information density
Reference 32
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T07:33:07.604061Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation df3c2012-f541-4a6c-887a-c845b770dbd9 · outbound
This paper cites Causal World Modeling for Robot Control.
PhyWorld: Physics-Faithful World Model for Video Generation Causal World Modeling for Robot Control
Reference 33
- Resolution
- verified exact
- local_arxiv, observed 2026-05-20T07:33:07.607462Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation dcb20b8a-4475-4a44-bbec-5350b4b7ddf1 · outbound
This paper cites Advancing Open-source World Models.
PhyWorld: Physics-Faithful World Model for Video Generation Advancing Open-source World Models
Reference 34
- Resolution
- verified exact
- local_arxiv, observed 2026-05-20T07:33:07.618043Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation d1936401-242f-4e89-94b2-bf03d872615a · outbound
This paper cites VOTE: Vision-Language-Action Optimization with Trajectory Ensemble Voting.
PhyWorld: Physics-Faithful World Model for Video Generation VOTE: Vision-Language-Action Optimization with Trajectory Ensemble Voting
Reference 35
- Resolution
- verified exact
- arxiv_id, observed 2026-07-09T02:20:27.970763Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 90d011c2-cb5b-4d9c-aa3e-cce469f53a64 · outbound
This paper cites AdaWorld: Learning Adaptable World Models with Latent Actions.
PhyWorld: Physics-Faithful World Model for Video Generation AdaWorld: Learning Adaptable World Models with Latent Actions
Reference 36
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T07:33:07.598106Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation fe07e540-b813-4295-b783-984b027b1a96 · outbound
This paper cites Fastcar: Cache attentive replay for fast auto-regressive video generation on the edge.
PhyWorld: Physics-Faithful World Model for Video Generation Fastcar: Cache attentive replay for fast auto-regressive video generation on the edge
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T07:33:23.981356Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation a5e7048f-1c29-493f-8d75-2eece2f1ddfc · outbound
This paper cites Numerical pruning for efficient autoregressive models.Proceedings of the AAAI Conference on Artificial Intelligence, 39(19):20418–20426, Apr.
PhyWorld: Physics-Faithful World Model for Video Generation Numerical pruning for efficient autoregressive models.Proceedings of the AAAI Conference on Artificial Intelligence, 39(19):20418–20426, Apr
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T07:33:24.008451Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation aaf5a6e6-c5a0-44c4-b525-ba72b4946597 · outbound
This paper cites Lazydit: Lazy learning for the acceleration of diffusion transformers.Proceedings of the AAAI Conference on Artificial Intelligence, 39(19):20409–20417, Apr.
PhyWorld: Physics-Faithful World Model for Video Generation Lazydit: Lazy learning for the acceleration of diffusion transformers.Proceedings of the AAAI Conference on Artificial Intelligence, 39(19):20409–20417, Apr
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T07:33:23.979461Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 0b2ddcb4-849e-4149-aaf6-62ce12478855 · outbound
This paper cites Epona: Autoregressive Diffusion World Model for Autonomous Driving.
PhyWorld: Physics-Faithful World Model for Video Generation Epona: Autoregressive Diffusion World Model for Autonomous Driving
Reference 40
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T07:33:07.556616Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation a89f8daa-b429-4626-8d22-727e5ddee000 · outbound
This paper cites Hieramp: Coarse-to-fine autoregressive amplification for generative dataset distillation.
PhyWorld: Physics-Faithful World Model for Video Generation Hieramp: Coarse-to-fine autoregressive amplification for generative dataset distillation
Reference 41
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T07:33:07.626220Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 1e7163e2-7600-4f81-a03c-ac8720f9bc56 · outbound
This paper cites Taming diffusion for dataset distillation with high representativeness.
PhyWorld: Physics-Faithful World Model for Video Generation Taming diffusion for dataset distillation with high representativeness
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T07:33:24.010056Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 278ab391-940f-4a33-9bd1-50592993c81e · outbound
This paper cites Fast and memory-efficient video diffusion using streamlined inference.
PhyWorld: Physics-Faithful World Model for Video Generation Fast and memory-efficient video diffusion using streamlined inference
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T07:33:24.006406Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 08cedce0-791c-491f-a7bd-6765f6157c5c · outbound
This paper cites DAWM: Diffusion Action World Models for Offline Reinforcement Learning via Action-Inferred Transitions.
PhyWorld: Physics-Faithful World Model for Video Generation DAWM: Diffusion Action World Models for Offline Reinforcement Learning via Action-Inferred Transitions
Reference 44
- Resolution
- verified exact
- local_arxiv, observed 2026-05-20T07:33:07.527071Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 4210e69b-de55-4697-bab6-793cc986516a · outbound
This paper cites Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion.
PhyWorld: Physics-Faithful World Model for Video Generation Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion
Reference 45
- Resolution
- verified exact
- local_arxiv, observed 2026-05-20T07:33:07.542421Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 4fff17bc-8e7a-47d8-a392-21834bc480ee · outbound
This paper cites Self-Forcing++: Towards Minute-Scale High-Quality Video Generation.
PhyWorld: Physics-Faithful World Model for Video Generation Self-Forcing++: Towards Minute-Scale High-Quality Video Generation
Reference 46
- Resolution
- verified exact
- local_arxiv, observed 2026-05-20T07:33:07.551107Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation f13a3dc9-a0cc-4598-af60-67ada1d25852 · outbound
This paper cites Longcat-video technical report.
PhyWorld: Physics-Faithful World Model for Video Generation Longcat-video technical report
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T07:33:23.977922Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation c54966d6-c06a-4c14-9e8f-8c99236634af · outbound
This paper cites LongLive: Real-time Interactive Long Video Generation.
PhyWorld: Physics-Faithful World Model for Video Generation LongLive: Real-time Interactive Long Video Generation
Reference 48
- Resolution
- verified exact
- local_arxiv, observed 2026-05-20T07:33:07.587053Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 2b44d8fc-f696-42c0-8da9-ba4b92d84f1f · outbound
This paper cites Longcat-next: Lexicalizing modalities as discrete tokens.
PhyWorld: Physics-Faithful World Model for Video Generation Longcat-next: Lexicalizing modalities as discrete tokens
Reference 49
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T07:33:07.581660Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation ebd4de47-58b6-4b64-895e-80c36d70732b · outbound
This paper cites Do generative video mod- els understand physical principles? InProceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, pages 948–958.
PhyWorld: Physics-Faithful World Model for Video Generation Do generative video mod- els understand physical principles? InProceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, pages 948–958
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T07:33:23.975853Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 1c47e46a-24a2-4735-bc32-eb160440f816 · outbound
This paper cites Towards World Simulator: Crafting Physical Commonsense-Based Benchmark for Video Generation.
PhyWorld: Physics-Faithful World Model for Video Generation Towards World Simulator: Crafting Physical Commonsense-Based Benchmark for Video Generation
Reference 51
- Resolution
- verified exact
- local_arxiv, observed 2026-05-20T07:33:07.584301Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation a98e831c-1b5f-4ca3-91d7-63573d7e2c39 · outbound
This paper cites VideoPhy-2: A Challenging Action-Centric Physical Commonsense Evaluation in Video Generation.
PhyWorld: Physics-Faithful World Model for Video Generation VideoPhy-2: A Challenging Action-Centric Physical Commonsense Evaluation in Video Generation
Reference 52
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T07:33:07.595472Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 0a2e3f03-c26b-4e87-80a9-c43cf7e7d9fb · outbound
This paper cites WorldModelBench: Judging Video Generation Models As World Models.
PhyWorld: Physics-Faithful World Model for Video Generation WorldModelBench: Judging Video Generation Models As World Models
Reference 53
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-20T07:33:07.576004Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 8ca144e1-5ed4-4925-b76a-61507c2f3ad5 · outbound
This paper cites Direct preference optimization: Your language model is secretly a reward model.Advances in neural information processing systems, 36:53728–53741.
PhyWorld: Physics-Faithful World Model for Video Generation Direct preference optimization: Your language model is secretly a reward model.Advances in neural information processing systems, 36:53728–53741
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T07:33:23.977679Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 9a4c9848-b501-4c95-ac9b-99a6d48e60a3 · outbound
This paper cites Learning transferable visual models from natural language supervision.
PhyWorld: Physics-Faithful World Model for Video Generation Learning transferable visual models from natural language supervision
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T07:33:23.984115Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 1590316b-66d8-4cf6-a53f-35724b89802b · outbound
This paper cites OpenVid-1M: A Large-Scale High-Quality Dataset for Text-to-video Generation.
PhyWorld: Physics-Faithful World Model for Video Generation OpenVid-1M: A Large-Scale High-Quality Dataset for Text-to-video Generation
Reference 56
- Resolution
- verified exact
- local_arxiv, observed 2026-05-20T07:33:07.570212Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 418e5d35-e002-4b34-b98a-f936a8df6214 · outbound
This paper cites Revisiting weak-to-strong consistency in semi-supervised semantic segmentation.
PhyWorld: Physics-Faithful World Model for Video Generation Revisiting weak-to-strong consistency in semi-supervised semantic segmentation
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T07:33:23.974436Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 0b22deb0-df4a-4801-b95f-74480cac1358 · outbound
This paper cites Flow Matching for Generative Modeling.
PhyWorld: Physics-Faithful World Model for Video Generation Flow Matching for Generative Modeling
Reference 58
- Resolution
- verified exact
- local_arxiv, observed 2026-05-20T07:33:07.567644Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 364595ac-1e4c-4150-8781-e49882f28ef8 · outbound
This paper cites Scaling rectified flow transformers for high-resolution image synthesis.
PhyWorld: Physics-Faithful World Model for Video Generation Scaling rectified flow transformers for high-resolution image synthesis
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T07:33:23.972242Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation d8f82144-93c8-4830-abcc-f777dab8c6dc · outbound
This paper cites Qwen3.5: Towards native multimodal agents, February 2026.
PhyWorld: Physics-Faithful World Model for Video Generation Qwen3.5: Towards native multimodal agents, February 2026
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T07:33:23.968557Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 302fea01-1e51-455b-8828-5b43743b2392 · outbound
This paper cites Diffsynth-studio.https://github.com/datawhalechina/diffsynth-studio.
PhyWorld: Physics-Faithful World Model for Video Generation Diffsynth-studio.https://github.com/datawhalechina/diffsynth-studio
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T07:33:24.011679Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 2749e119-40d4-4cd0-ace9-ca4057a14112 · outbound
This paper cites LTX-2: Efficient Joint Audio-Visual Foundation Model.
PhyWorld: Physics-Faithful World Model for Video Generation LTX-2: Efficient Joint Audio-Visual Foundation Model
Reference 62
- Resolution
- verified exact
- local_arxiv, observed 2026-05-20T07:33:07.592407Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 6f0e6895-1a37-4f47-92a9-4a038a87770a · outbound
This paper cites Omniweaving: Towards unified video generation with free-form composition and reasoning.https://arxiv.org/abs/2603.24458.
PhyWorld: Physics-Faithful World Model for Video Generation Omniweaving: Towards unified video generation with free-form composition and reasoning.https://arxiv.org/abs/2603.24458
Reference 63
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T07:33:07.559530Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation d1e93c55-63b7-496a-bac3-7e435c202e64 · outbound
This paper cites World Simulation with Video Foundation Models for Physical AI.
PhyWorld: Physics-Faithful World Model for Video Generation World Simulation with Video Foundation Models for Physical AI
Reference 64
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-20T07:33:07.562468Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Pith citing papers
Observation 3701c19d-d1f4-4fc6-8a03-473ff01b4756 · inbound
A Definition and Roadmap for World Models cites this paper.
A Definition and Roadmap for World Models PhyWorld: Physics-Faithful World Model for Video Generation
Reference 74
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-08T07:14:45.191861Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.