Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-02T23:56:39.865433Z
Paper Citation Record · LEDGER
Divide and Conquer: Decoupled Representation Alignment for Multimodal World Models
As of 4 August 2026, this Paper Citation Record lists 66 of 66 outbound references and 1 inbound Pith citation observation for arXiv:2605.01896.
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 2026-08-04T06:34:03.388597+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-26T05:16:53.011837Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-04T13:19:51.035539Z
Reference resolution
66 of 66 outbound references displayed
- verified exact13
- verified fuzzy22
- unresolved3
- parse uncertain0
- malformed identifier0
- metadata mismatch28
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 8c4b3368-2e7e-443e-82d8-574ec1cd9ea5 · outbound
This paper cites Proceedings of the 3rd International Workshop on Rich Media With Generative AI, ACM (2025) 1.
Divide and Conquer: Decoupled Representation Alignment for Multimodal World Models Proceedings of the 3rd International Workshop on Rich Media With Generative AI, ACM (2025) 1
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T17:31:22.207281Z
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.
Observation 8c3c0d46-2af4-40b7-92b5-d9299b936c3b · outbound
This paper cites V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning.
Divide and Conquer: Decoupled Representation Alignment for Multimodal World Models V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
Reference 2
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-02T23:57:27.889960Z
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.
Observation 81b96c12-5d7d-4832-9ac5-7adee8e2471c · outbound
This paper cites Advances in Neural Information Processing Systems37, 24081–24125 (2024) 4, 5.
Divide and Conquer: Decoupled Representation Alignment for Multimodal World Models Advances in Neural Information Processing Systems37, 24081–24125 (2024) 4, 5
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T17:31:22.186154Z
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.
Observation b048413b-4703-4966-b837-44b9b060478c · outbound
This paper cites DeepVerse: 4D Autoregressive Video Generation as a World Model.
Divide and Conquer: Decoupled Representation Alignment for Multimodal World Models DeepVerse: 4D Autoregressive Video Generation as a World Model
Reference 4
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-02T23:57:27.850200Z
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.
Observation ef9fdfa1-6f09-40a9-aacd-c0b4f6bbafe3 · outbound
This paper cites In: Proceedings of the Computer Vision and Pattern Recognition Conference.
Divide and Conquer: Decoupled Representation Alignment for Multimodal World Models In: Proceedings of the Computer Vision and Pattern Recognition Conference
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T17:31:22.219922Z
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.
Observation 579803c9-6f1d-4c43-91c6-21b837ecb1a1 · outbound
This paper cites 4DNeX: Feed-Forward 4D Generative Modeling Made Easy.
Divide and Conquer: Decoupled Representation Alignment for Multimodal World Models 4DNeX: Feed-Forward 4D Generative Modeling Made Easy
Reference 6
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-02T23:57:27.836478Z
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.
Observation cfd476e8-64a1-449c-b0b6-4002a1964e6f · outbound
This paper cites LLMPhy: Parameter-Identifiable Physical Reasoning Combining Large Language Models and Physics Engines.
Divide and Conquer: Decoupled Representation Alignment for Multimodal World Models LLMPhy: Parameter-Identifiable Physical Reasoning Combining Large Language Models and Physics Engines
Reference 7
- Resolution
- verified exact
- local_arxiv, observed 2026-07-02T23:57:27.884639Z
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.
Observation 16a0e8cc-8836-4443-bbf3-b3e6f6b1d546 · outbound
This paper cites URL: https://oasis-model.
Divide and Conquer: Decoupled Representation Alignment for Multimodal World Models URL: https://oasis-model
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T17:31:22.156482Z
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.
Observation d1b6e760-6972-4ed9-95b0-804f3c9ecc2f · outbound
This paper cites an unresolved cited work.
Divide and Conquer: Decoupled Representation Alignment for Multimodal World Models Unresolved cited work
Reference 9
- Resolution
- unresolved
- raw_fallback, observed 2026-07-05T17:31:22.144644Z
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.
Observation 29c39a25-47de-4e12-a230-810c1c2cfdc1 · outbound
This paper cites Advances in Neural Information Processing Systems37, 91560–91596 (2024) 1.
Divide and Conquer: Decoupled Representation Alignment for Multimodal World Models Advances in Neural Information Processing Systems37, 91560–91596 (2024) 1
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T17:31:22.181661Z
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.
Observation 961ad75d-00ea-4d21-919c-151c442086c5 · outbound
This paper cites World Models.
Divide and Conquer: Decoupled Representation Alignment for Multimodal World Models World Models
Reference 11
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-02T23:57:27.871866Z
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.
Observation a1889bb7-857e-4e50-a879-5f0a64659e33 · outbound
This paper cites Matrix-game 2.0: An open-source real-time and streaming interactive world model.
Divide and Conquer: Decoupled Representation Alignment for Multimodal World Models Matrix-game 2.0: An open-source real-time and streaming interactive world model
Reference 12
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-02T23:57:27.811276Z
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.
Observation 52ffbd6f-cd5a-453e-987f-cd469ff81c59 · outbound
This paper cites Advances in neural information processing systems33, 6840–6851 (2020) 1.
Divide and Conquer: Decoupled Representation Alignment for Multimodal World Models Advances in neural information processing systems33, 6840–6851 (2020) 1
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T17:31:22.216666Z
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.
Observation fabfaf09-0c74-485d-8489-d5998ec7854a · outbound
This paper cites In: International Conference on Machine Learning.
Divide and Conquer: Decoupled Representation Alignment for Multimodal World Models In: International Conference on Machine Learning
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T17:31:22.193283Z
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.
Observation 721ed95e-5286-4734-a5cb-2b258d6903b4 · outbound
This paper cites GAIA-1: A Generative World Model for Autonomous Driving.
Divide and Conquer: Decoupled Representation Alignment for Multimodal World Models GAIA-1: A Generative World Model for Autonomous Driving
Reference 15
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-02T23:57:27.902745Z
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.
Observation e79db412-d805-4d9c-b1a5-bea832a1d79b · outbound
This paper cites In: Proceedings of the Computer Vision and Pattern Recognition Conference.
Divide and Conquer: Decoupled Representation Alignment for Multimodal World Models In: Proceedings of the Computer Vision and Pattern Recognition Conference
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T17:31:22.196333Z
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.
Observation 77af5a1f-d2b3-4504-83f1-d1c83da860b1 · outbound
This paper cites ACM Transactions on Graphics (TOG)44(6), 1–15 (2025) 2, 4.
Divide and Conquer: Decoupled Representation Alignment for Multimodal World Models ACM Transactions on Graphics (TOG)44(6), 1–15 (2025) 2, 4
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T17:31:22.175011Z
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.
Observation d6831395-87f5-447f-ae13-daa5a933fc9f · outbound
This paper cites Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion.
Divide and Conquer: Decoupled Representation Alignment for Multimodal World Models Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion
Reference 18
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-02T23:57:27.917885Z
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.
Observation e8bcbbe9-8751-4278-abd6-76fd8212487c · outbound
This paper cites Cross-Frame Representation Alignment for Fine-Tuning Video Diffusion Models.
Divide and Conquer: Decoupled Representation Alignment for Multimodal World Models Cross-Frame Representation Alignment for Fine-Tuning Video Diffusion Models
Reference 19
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T23:57:27.892610Z
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.
Observation 245c330c-a734-4f6f-9b36-b0be66ed5122 · outbound
This paper cites arXiv preprint arXiv:2412.11673 (2024).
Divide and Conquer: Decoupled Representation Alignment for Multimodal World Models arXiv preprint arXiv:2412.11673 (2024)
Reference 20
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T23:57:27.887021Z
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.
Observation 5ee74a63-e93a-4d30-9f4d-1b1187feb07a · outbound
This paper cites Advances in Neural Information Processing Systems37, 89834–89868 (2024) 4.
Divide and Conquer: Decoupled Representation Alignment for Multimodal World Models Advances in Neural Information Processing Systems37, 89834–89868 (2024) 4
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T17:31:22.200148Z
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.
Observation 13a13f52-b2b9-44e5-9a54-dd0b4a34351c · outbound
This paper cites HunyuanVideo: A Systematic Framework For Large Video Generative Models.
Divide and Conquer: Decoupled Representation Alignment for Multimodal World Models HunyuanVideo: A Systematic Framework For Large Video Generative Models
Reference 22
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-02T23:57:27.907794Z
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.
Observation 07cad770-5ab8-42fc-9d5e-74945155b4ce · outbound
This paper cites In: International conference on machine learning.
Divide and Conquer: Decoupled Representation Alignment for Multimodal World Models In: International conference on machine learning
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T17:31:22.166903Z
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.
Observation 8aba3b19-c2bf-422d-9d61-f82eec3c4288 · outbound
This paper cites an unresolved cited work.
Divide and Conquer: Decoupled Representation Alignment for Multimodal World Models Unresolved cited work
Reference 24
- Resolution
- unresolved
- raw_fallback, observed 2026-07-05T17:31:22.170846Z
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.
Observation abcaa948-8913-4c45-9735-94c1b44736ba · outbound
This paper cites Flow Matching for Generative Modeling.
Divide and Conquer: Decoupled Representation Alignment for Multimodal World Models Flow Matching for Generative Modeling
Reference 25
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-02T23:57:27.897575Z
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.
Observation 55beb807-b9de-4f37-b79a-cb641e158126 · outbound
This paper cites Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow.
Divide and Conquer: Decoupled Representation Alignment for Multimodal World Models Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow
Reference 26
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-02T23:57:27.920232Z
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.
Observation 165d0f4e-c3d6-4621-98f9-e5c9a7de1574 · outbound
This paper cites WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception.
Divide and Conquer: Decoupled Representation Alignment for Multimodal World Models WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception
Reference 27
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T23:57:27.831413Z
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.
Observation f13de194-e6aa-4da3-831d-a8a0d413d012 · outbound
This paper cites arXiv preprint arXiv:2510.03104 (2025) 2, 4.
Divide and Conquer: Decoupled Representation Alignment for Multimodal World Models arXiv preprint arXiv:2510.03104 (2025) 2, 4
Reference 28
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T23:57:27.866731Z
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.
Observation ca22bd48-8b2f-43cc-8b6b-0ace4623e5c8 · outbound
This paper cites DINOv2: Learning Robust Visual Features without Supervision.
Divide and Conquer: Decoupled Representation Alignment for Multimodal World Models DINOv2: Learning Robust Visual Features without Supervision
Reference 29
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-02T23:57:27.913034Z
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.
Observation 90d9f500-73d9-4be9-8e94-aed7fb809064 · outbound
This paper cites URL: https://deepmind.google/blog/genie-3-a-new-frontier-for-world-models/ (2025) 1, 4.
Divide and Conquer: Decoupled Representation Alignment for Multimodal World Models URL: https://deepmind.google/blog/genie-3-a-new-frontier-for-world-models/ (2025) 1, 4
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T17:31:22.189550Z
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.
Observation 41c726b4-13ca-4e61-877e-b65b3507b5aa · outbound
This paper cites an unresolved cited work.
Divide and Conquer: Decoupled Representation Alignment for Multimodal World Models Unresolved cited work
Reference 31
- Resolution
- unresolved
- raw_fallback, observed 2026-07-05T17:31:22.159499Z
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.
Observation 1a510f4b-6676-4fb4-81d5-1073b85ecb3e · outbound
This paper cites arXiv preprint arXiv:2510.07313 (2025).
Divide and Conquer: Decoupled Representation Alignment for Multimodal World Models arXiv preprint arXiv:2510.07313 (2025)
Reference 32
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T23:57:27.895216Z
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.
Observation b6334d7d-f5bd-4cc7-8fd8-928cbeea3341 · outbound
This paper cites WorldSimBench: Towards Video Generation Models as World Simulators.
Divide and Conquer: Decoupled Representation Alignment for Multimodal World Models WorldSimBench: Towards Video Generation Models as World Simulators
Reference 33
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-02T23:57:27.856576Z
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.
Observation 002bb7aa-47bf-4735-a5fc-07a24fc34430 · outbound
This paper cites In: International conference on machine learning.
Divide and Conquer: Decoupled Representation Alignment for Multimodal World Models In: International conference on machine learning
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T17:31:22.178199Z
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.
Observation 0d394dd0-917a-4984-9021-542b0e0d63c5 · outbound
This paper cites SAM 2: Segment Anything in Images and Videos.
Divide and Conquer: Decoupled Representation Alignment for Multimodal World Models SAM 2: Segment Anything in Images and Videos
Reference 35
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-02T23:57:27.927604Z
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.
Observation bb32773c-3889-4717-895d-37ce5eceb954 · outbound
This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.
Divide and Conquer: Decoupled Representation Alignment for Multimodal World Models In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T17:31:22.210259Z
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.
Observation 19dc11d3-2859-4f34-a692-3dee7fefa261 · outbound
This paper cites GAIA-2: A Controllable Multi-View Generative World Model for Autonomous Driving.
Divide and Conquer: Decoupled Representation Alignment for Multimodal World Models GAIA-2: A Controllable Multi-View Generative World Model for Autonomous Driving
Reference 37
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-02T23:57:27.821747Z
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.
Observation 9a68f8b6-04ce-4b5d-b718-21b84b9c8d21 · outbound
This paper cites DINOv3.
Divide and Conquer: Decoupled Representation Alignment for Multimodal World Models DINOv3
Reference 38
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-02T23:57:27.882251Z
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.
Observation 772a0fc2-c6f2-490b-969f-216e194fd766 · outbound
This paper cites History-Guided Video Diffusion.
Divide and Conquer: Decoupled Representation Alignment for Multimodal World Models History-Guided Video Diffusion
Reference 39
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-02T23:57:27.814132Z
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.
Observation 45ec1105-9765-4fcd-8633-7a67ff17fc1c · outbound
This paper cites U-repa: Aligning diffusion u-nets to vits.
Divide and Conquer: Decoupled Representation Alignment for Multimodal World Models U-repa: Aligning diffusion u-nets to vits
Reference 40
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-02T23:57:27.840448Z
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.
Observation 2947dde1-9bae-4068-8951-eb976d099be4 · outbound
This paper cites Towards Accurate Generative Models of Video: A New Metric & Challenges.
Divide and Conquer: Decoupled Representation Alignment for Multimodal World Models Towards Accurate Generative Models of Video: A New Metric & Challenges
Reference 41
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-02T23:57:27.852710Z
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.
Observation df4857d4-9714-4b5e-ae6a-829feedd2037 · outbound
This paper cites Diffusion Models Are Real-Time Game Engines.
Divide and Conquer: Decoupled Representation Alignment for Multimodal World Models Diffusion Models Are Real-Time Game Engines
Reference 42
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-02T23:57:27.900051Z
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.
Observation a56a3f20-9075-4b4e-b477-85b240e4a839 · outbound
This paper cites Wan: Open and Advanced Large-Scale Video Generative Models.
Divide and Conquer: Decoupled Representation Alignment for Multimodal World Models Wan: Open and Advanced Large-Scale Video Generative Models
Reference 43
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-02T23:57:27.828238Z
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.
Observation 015b2e87-e4ab-4650-b284-59d97ed7b0a0 · outbound
This paper cites Spatialvid: A large-scale video dataset with spatial annotations.arXiv preprint arXiv:2509.09676, 2025a.
Divide and Conquer: Decoupled Representation Alignment for Multimodal World Models Spatialvid: A large-scale video dataset with spatial annotations.arXiv preprint arXiv:2509.09676, 2025a
Reference 44
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T23:57:27.931051Z
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.
Observation 8c678ac9-0059-4779-abd1-9f2d5f1c37cb · outbound
This paper cites In: Proceedings of the Computer Vision and Pattern Recognition Conference.
Divide and Conquer: Decoupled Representation Alignment for Multimodal World Models In: Proceedings of the Computer Vision and Pattern Recognition Conference
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T17:31:22.203697Z
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.
Observation a155b283-2218-4850-9066-817fa20cbdb4 · outbound
This paper cites IEEE transactions on image processing 13(4), 600–612 (2004) 11.
Divide and Conquer: Decoupled Representation Alignment for Multimodal World Models IEEE transactions on image processing 13(4), 600–612 (2004) 11
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T17:31:22.223632Z
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.
Observation 89c631ad-c3c7-4c5f-8eeb-f103b5195d80 · outbound
This paper cites Geometry Forcing: Marrying Video Diffusion and 3D Representation for Consistent World Modeling.
Divide and Conquer: Decoupled Representation Alignment for Multimodal World Models Geometry Forcing: Marrying Video Diffusion and 3D Representation for Consistent World Modeling
Reference 47
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-02T23:57:27.922659Z
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.
Observation 6fb69925-a0a0-43c6-a349-d17a6294520c · outbound
This paper cites arXiv preprint arXiv:2504.12369 , year=.
Divide and Conquer: Decoupled Representation Alignment for Multimodal World Models arXiv preprint arXiv:2504.12369 , year=
Reference 48
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T23:57:27.910598Z
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.
Observation d15c71d8-514b-4a5e-8b14-294303f31870 · outbound
This paper cites Pixel-perfect depth with semantics-prompted diffusion transformers.arXiv preprint arXiv:2510.07316, 2025a.
Divide and Conquer: Decoupled Representation Alignment for Multimodal World Models Pixel-perfect depth with semantics-prompted diffusion transformers.arXiv preprint arXiv:2510.07316, 2025a
Reference 49
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T23:57:27.933570Z
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.
Observation 066d2acb-eb48-426e-88ef-1c7ec9e4f0eb · outbound
This paper cites In: International Conference on Machine Learning.
Divide and Conquer: Decoupled Representation Alignment for Multimodal World Models In: International Conference on Machine Learning
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T17:31:22.141214Z
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.
Observation 65faefb7-0699-42b9-9295-a268527dd94f · outbound
This paper cites Advances in Neural Information Processing Systems37, 21875–21911 (2024) 2, 3, 4, 7, 9, 10, 11, 12, 15.
Divide and Conquer: Decoupled Representation Alignment for Multimodal World Models Advances in Neural Information Processing Systems37, 21875–21911 (2024) 2, 3, 4, 7, 9, 10, 11, 12, 15
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T17:31:22.148428Z
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.
Observation 22667131-2698-4e39-bf24-1622af43da4f · outbound
This paper cites Learning Interactive Real-World Simulators.
Divide and Conquer: Decoupled Representation Alignment for Multimodal World Models Learning Interactive Real-World Simulators
Reference 52
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-02T23:57:27.878918Z
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.
Observation 16b3b3ec-13db-46c2-b9a2-84c7af644737 · outbound
This paper cites Video as the New Language for Real-World Decision Making.
Divide and Conquer: Decoupled Representation Alignment for Multimodal World Models Video as the New Language for Real-World Decision Making
Reference 53
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-02T23:57:27.915621Z
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.
Observation 16c89200-14bc-410e-bf2a-517831081b45 · outbound
This paper cites CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer.
Divide and Conquer: Decoupled Representation Alignment for Multimodal World Models CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer
Reference 54
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-02T23:57:27.863725Z
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.
Observation 1e71acb3-c509-4b6e-b028-1ca3acea4c95 · outbound
This paper cites In: RSS 2025 Workshop: Mobile Manipulation: Emerging Opportunities{\&}Con- temporary Challenges (2025) 4.
Divide and Conquer: Decoupled Representation Alignment for Multimodal World Models In: RSS 2025 Workshop: Mobile Manipulation: Emerging Opportunities{\&}Con- temporary Challenges (2025) 4
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T17:31:22.162537Z
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.
Observation 1e19d1fe-6548-48b4-ad6b-c9a91d735ac4 · outbound
This paper cites In: CVPR (2025) 4.
Divide and Conquer: Decoupled Representation Alignment for Multimodal World Models In: CVPR (2025) 4
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T17:31:22.137895Z
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.
Observation 604b4393-89b0-4dd0-80e3-59990c0a952f · outbound
This paper cites Visual representation alignment for multimodal large language models.
Divide and Conquer: Decoupled Representation Alignment for Multimodal World Models Visual representation alignment for multimodal large language models
Reference 57
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-02T23:57:27.843983Z
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.
Observation f87eac1d-a842-433b-b357-4fe221651a40 · outbound
This paper cites Gamefactory: Creating new games with generative interactive videos.
Divide and Conquer: Decoupled Representation Alignment for Multimodal World Models Gamefactory: Creating new games with generative interactive videos
Reference 58
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-02T23:57:27.875984Z
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.
Observation 99e33726-fbba-4588-819d-aa1209f538a8 · outbound
This paper cites Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think.
Divide and Conquer: Decoupled Representation Alignment for Multimodal World Models Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think
Reference 59
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-02T23:57:27.869426Z
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.
Observation 133aa9b7-5b50-49dd-8e31-7eb46622d838 · outbound
This paper cites In: Proceedings of the IEEE conference on computer vision and pattern recognition.
Divide and Conquer: Decoupled Representation Alignment for Multimodal World Models In: Proceedings of the IEEE conference on computer vision and pattern recognition
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T17:31:22.213161Z
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.
Observation cfba5c5f-3f70-4db3-a916-26d354c6e17d · outbound
This paper cites VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models.
Divide and Conquer: Decoupled Representation Alignment for Multimodal World Models VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models
Reference 61
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T23:57:27.925208Z
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.
Observation 57c266b1-ed0e-47ba-966c-c51feb0cb975 · outbound
This paper cites TesserAct: Learning 4D Embodied World Models.
Divide and Conquer: Decoupled Representation Alignment for Multimodal World Models TesserAct: Learning 4D Embodied World Models
Reference 62
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T23:57:27.847549Z
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.
Observation a850ea57-30e7-4ac6-a81e-7fb31ae08b30 · outbound
This paper cites Stereo Magnification: Learning View Synthesis using Multiplane Images.
Divide and Conquer: Decoupled Representation Alignment for Multimodal World Models Stereo Magnification: Learning View Synthesis using Multiplane Images
Reference 63
- Resolution
- verified exact
- local_arxiv, observed 2026-07-02T23:57:27.825294Z
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.
Observation 9fd9cd23-4d78-4374-95c3-6c7bcb577864 · outbound
This paper cites Omniworld: A multi-domain and multi-modal dataset for 4d world modeling.
Divide and Conquer: Decoupled Representation Alignment for Multimodal World Models Omniworld: A multi-domain and multi-modal dataset for 4d world modeling
Reference 64
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-02T23:57:27.905387Z
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.
Observation 3381d885-ce7b-4b1e-900b-682b9d9311ff · outbound
This paper cites In: Proceedings of the IEEE/CVF International Conference on Computer Vision.
Divide and Conquer: Decoupled Representation Alignment for Multimodal World Models In: Proceedings of the IEEE/CVF International Conference on Computer Vision
Reference 65
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T17:31:22.153423Z
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.
Observation 66d3ea46-9a82-4ace-9628-db3227b8c675 · outbound
This paper cites Is sora a world simulator? A comprehensive survey on general world models and beyond.
Divide and Conquer: Decoupled Representation Alignment for Multimodal World Models Is sora a world simulator? A comprehensive survey on general world models and beyond
Reference 66
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T23:57:27.817748Z
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.
Pith citing papers
Observation b06947b8-23d3-4f84-9b9a-4efe674d0959 · inbound
PhysRAG: Enhancing Physics-Awareness in Video Generation via Retrieval-Augmented Generation cites this paper.
PhysRAG: Enhancing Physics-Awareness in Video Generation via Retrieval-Augmented Generation Divide and Conquer: Decoupled Representation Alignment for Multimodal World Models
Reference 77
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-04T13:19:51.036949Z
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.