Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-21T17:06:34.398973Z
Paper Citation Record · LEDGER
GaussianDWM: 3D Gaussian Driving World Model for Unified Scene Understanding and Multi-Modal Generation
As of 13 August 2026, this Paper Citation Record lists 64 of 64 outbound references and 6 inbound Pith citation observations for arXiv:2512.23180.
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 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-03T13:31:10.576156Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-13T17:08:00.948705Z
Reference resolution
64 of 64 outbound references displayed
- verified exact23
- verified fuzzy40
- unresolved1
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 41be73b1-d803-4c8f-9772-7e0dc7f0f13d · outbound
This paper cites GPT-4 Technical Report.
GaussianDWM: 3D Gaussian Driving World Model for Unified Scene Understanding and Multi-Modal Generation GPT-4 Technical Report
Reference 1
- Resolution
- verified exact
- local_arxiv, observed 2026-05-21T17:10:25.121871Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation c3e9ddd1-9cf0-4fff-927c-4772dfa87640 · outbound
This paper cites Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets.
GaussianDWM: 3D Gaussian Driving World Model for Unified Scene Understanding and Multi-Modal Generation Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets
Reference 2
- Resolution
- verified exact
- local_arxiv, observed 2026-05-21T17:10:25.095962Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 5284ef9e-cd56-4670-8711-e36663f8e5d3 · outbound
This paper cites nuscenes: A multi- modal dataset for autonomous driving.
GaussianDWM: 3D Gaussian Driving World Model for Unified Scene Understanding and Multi-Modal Generation nuscenes: A multi- modal dataset for autonomous driving
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T17:10:26.072050Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 2505e440-b2ce-441b-a6fb-784fb1ed269a · outbound
This paper cites Periodic Vibration Gaussian: Dynamic Urban Scene Reconstruction and Real-time Rendering.
GaussianDWM: 3D Gaussian Driving World Model for Unified Scene Understanding and Multi-Modal Generation Periodic Vibration Gaussian: Dynamic Urban Scene Reconstruction and Real-time Rendering
Reference 4
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T17:10:25.109113Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation c058bf0a-32c7-4f3f-8a6a-ec472da5f164 · outbound
This paper cites SN-LiDAR: Semantic Neural Fields for Novel Space-time View LiDAR Synthesis.
GaussianDWM: 3D Gaussian Driving World Model for Unified Scene Understanding and Multi-Modal Generation SN-LiDAR: Semantic Neural Fields for Novel Space-time View LiDAR Synthesis
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T17:10:25.131282Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 7b997547-040e-4f6f-8ae8-bb43eeb053d9 · outbound
This paper cites How far are we to gpt-4v? closing the gap to commercial multimodal models with open-source suites.Science China Information Sciences, 67(12):220101.
GaussianDWM: 3D Gaussian Driving World Model for Unified Scene Understanding and Multi-Modal Generation How far are we to gpt-4v? closing the gap to commercial multimodal models with open-source suites.Science China Information Sciences, 67(12):220101
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T17:10:25.956530Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 53a8afd7-33b1-4cff-98aa-c60580fdcf2c · outbound
This paper cites Omnire: Omni urban scene reconstruction.
GaussianDWM: 3D Gaussian Driving World Model for Unified Scene Understanding and Multi-Modal Generation Omnire: Omni urban scene reconstruction
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T17:10:25.953122Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 4cd816e4-7b20-48c0-ac77-4bc1a69215b4 · outbound
This paper cites ProSGNeRF: Progressive Dynamic Neural Scene Graph with Frequency Modulated Foundation Model in Urban Scenes.
GaussianDWM: 3D Gaussian Driving World Model for Unified Scene Understanding and Multi-Modal Generation ProSGNeRF: Progressive Dynamic Neural Scene Graph with Frequency Modulated Foundation Model in Urban Scenes
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-07-13T02:17:00.989019Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 917f9d43-2d73-4b9a-b2e5-2bffed6dd604 · outbound
This paper cites Plgslam: Progressive neural scene represenation with local to global bundle adjustment.
GaussianDWM: 3D Gaussian Driving World Model for Unified Scene Understanding and Multi-Modal Generation Plgslam: Progressive neural scene represenation with local to global bundle adjustment
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T17:10:25.959863Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation bc5b648f-dfdd-44ad-a3a4-db41b2c98c47 · outbound
This paper cites What is the best 3d scene representation for robotics? from geometric to foundation models.
GaussianDWM: 3D Gaussian Driving World Model for Unified Scene Understanding and Multi-Modal Generation What is the best 3d scene representation for robotics? from geometric to foundation models
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T17:10:25.100430Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 885d050a-db71-4834-b741-95ff520237b4 · outbound
This paper cites MCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene Representation.
GaussianDWM: 3D Gaussian Driving World Model for Unified Scene Understanding and Multi-Modal Generation MCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene Representation
Reference 11
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T17:10:25.136388Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 781b0892-0ffd-437d-957f-cc935670672f · outbound
This paper cites Mne-slam: Multi-agent neural slam for mobile robots.
GaussianDWM: 3D Gaussian Driving World Model for Unified Scene Understanding and Multi-Modal Generation Mne-slam: Multi-agent neural slam for mobile robots
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T17:10:25.950372Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 0b48d5e7-a59c-467c-91b8-2b388745e3e6 · outbound
This paper cites an unresolved cited work.
GaussianDWM: 3D Gaussian Driving World Model for Unified Scene Understanding and Multi-Modal Generation Unresolved cited work
Reference 13
- Resolution
- unresolved
- raw_fallback, observed 2026-05-21T17:10:26.068813Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 624ad7d5-8587-4c24-8d90-84b11c97f0a9 · outbound
This paper cites Vpgs-slam: V oxel-based progressive 3d gaussian slam in large-scale scenes.
GaussianDWM: 3D Gaussian Driving World Model for Unified Scene Understanding and Multi-Modal Generation Vpgs-slam: V oxel-based progressive 3d gaussian slam in large-scale scenes
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T17:10:25.192004Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation af20115f-79e0-430d-a306-b26fc0222edb · outbound
This paper cites Scaling recti- fied flow transformers for high-resolution image synthesis.
GaussianDWM: 3D Gaussian Driving World Model for Unified Scene Understanding and Multi-Modal Generation Scaling recti- fied flow transformers for high-resolution image synthesis
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T17:10:26.065974Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 5d4f4b16-3e17-41b0-a456-f9dc19645bc1 · outbound
This paper cites MagicDrive: Street View Generation with Diverse 3D Geometry Control.
GaussianDWM: 3D Gaussian Driving World Model for Unified Scene Understanding and Multi-Modal Generation MagicDrive: Street View Generation with Diverse 3D Geometry Control
Reference 16
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T17:10:25.187814Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation b4d6c827-e202-40dd-b3f3-189e59bac8ae · outbound
This paper cites Vista: A generalizable driving world model with high fidelity and versatile controllability.Advances in Neural Information Processing Systems, 37:91560–91596.
GaussianDWM: 3D Gaussian Driving World Model for Unified Scene Understanding and Multi-Modal Generation Vista: A generalizable driving world model with high fidelity and versatile controllability.Advances in Neural Information Processing Systems, 37:91560–91596
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T17:10:26.062079Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 15da5d56-1ed3-45fb-8f84-1e11931f69be · outbound
This paper cites Mocount: Motion-based repetitive ac- tion counting.
GaussianDWM: 3D Gaussian Driving World Model for Unified Scene Understanding and Multi-Modal Generation Mocount: Motion-based repetitive ac- tion counting
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T17:10:26.058765Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 8d4dfb09-b038-4e2b-b586-5b735883cde3 · outbound
This paper cites Dist-4d: Disentangled spa- tiotemporal diffusion with metric depth for 4d driving scene generation.
GaussianDWM: 3D Gaussian Driving World Model for Unified Scene Understanding and Multi-Modal Generation Dist-4d: Disentangled spa- tiotemporal diffusion with metric depth for 4d driving scene generation
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T17:10:26.055578Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 6dbf3dd0-572f-40e1-8dcf-9a7bb3181a74 · outbound
This paper cites DiST-4D: Disentangled Spatiotemporal Diffusion with Metric Depth for 4D Driving Scene Generation.
GaussianDWM: 3D Gaussian Driving World Model for Unified Scene Understanding and Multi-Modal Generation DiST-4D: Disentangled Spatiotemporal Diffusion with Metric Depth for 4D Driving Scene Generation
Reference 20
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T17:10:25.148944Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 86b7e462-9ced-4beb-bd69-2583450238f1 · outbound
This paper cites GaussianVLM: Scene-centric 3D Vision-Language Models using Language-aligned Gaussian Splats for Embodied Reasoning and Beyond.
GaussianDWM: 3D Gaussian Driving World Model for Unified Scene Understanding and Multi-Modal Generation GaussianVLM: Scene-centric 3D Vision-Language Models using Language-aligned Gaussian Splats for Embodied Reasoning and Beyond
Reference 21
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T17:10:25.178774Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 912388c2-61f7-4054-bad7-55fe772b783d · outbound
This paper cites 3d-llm: In- jecting the 3d world into large language models.Advances 17 in Neural Information Processing Systems, 36:20482–20494.
GaussianDWM: 3D Gaussian Driving World Model for Unified Scene Understanding and Multi-Modal Generation 3d-llm: In- jecting the 3d world into large language models.Advances 17 in Neural Information Processing Systems, 36:20482–20494
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T17:10:26.052326Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 58fdc6c1-aacf-42d3-8dd1-ac838e2a0feb · outbound
This paper cites GAIA-1: A Generative World Model for Autonomous Driving.
GaussianDWM: 3D Gaussian Driving World Model for Unified Scene Understanding and Multi-Modal Generation GAIA-1: A Generative World Model for Autonomous Driving
Reference 24
- Resolution
- verified exact
- local_arxiv, observed 2026-05-21T17:10:25.153507Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation d92bbf53-ac26-4ddd-ab65-9a832bd97808 · outbound
This paper cites 3d gaussian splatting for real-time radiance field rendering.ACM Trans.
GaussianDWM: 3D Gaussian Driving World Model for Unified Scene Understanding and Multi-Modal Generation 3d gaussian splatting for real-time radiance field rendering.ACM Trans
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T17:10:26.049436Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 5724e774-4ef0-4ad0-b01a-c8b1da45ae31 · outbound
This paper cites Segment any- thing.
GaussianDWM: 3D Gaussian Driving World Model for Unified Scene Understanding and Multi-Modal Generation Segment any- thing
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T17:10:26.046450Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 2d6c893e-77f5-41c8-9696-3fb7812e0860 · outbound
This paper cites 3D and 4D World Modeling: A Survey.
GaussianDWM: 3D Gaussian Driving World Model for Unified Scene Understanding and Multi-Modal Generation 3D and 4D World Modeling: A Survey
Reference 27
- Resolution
- verified exact
- arxiv_id, observed 2026-07-21T03:22:29.733321Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 77071d20-82d4-42c7-bf1a-3120ab6ae60c · outbound
This paper cites Uniscene: Unified occupancy-centric driving scene generation.
GaussianDWM: 3D Gaussian Driving World Model for Unified Scene Understanding and Multi-Modal Generation Uniscene: Unified occupancy-centric driving scene generation
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T17:10:26.043249Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation d5dd6ddc-ea0d-4dd4-9e53-5b3820216edb · outbound
This paper cites Human motion instruction tuning.
GaussianDWM: 3D Gaussian Driving World Model for Unified Scene Understanding and Multi-Modal Generation Human motion instruction tuning
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T17:10:26.040268Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 0fb91e00-d989-4072-98b4-440e7d74e00b · outbound
This paper cites Bevformer: learning bird’s-eye-view representation from lidar-camera via spatiotemporal transformers.IEEE Transactions on Pat- tern Analysis and Machine Intelligence.
GaussianDWM: 3D Gaussian Driving World Model for Unified Scene Understanding and Multi-Modal Generation Bevformer: learning bird’s-eye-view representation from lidar-camera via spatiotemporal transformers.IEEE Transactions on Pat- tern Analysis and Machine Intelligence
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T17:10:26.037040Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 65e38c08-4e44-44bd-96a7-3768949905e8 · outbound
This paper cites Rouge: A package for automatic evaluation of summaries.
GaussianDWM: 3D Gaussian Driving World Model for Unified Scene Understanding and Multi-Modal Generation Rouge: A package for automatic evaluation of summaries
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T17:10:26.034077Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation a2b336cb-d676-4884-951b-110e4f089cda · outbound
This paper cites Improved baselines with visual instruction tuning.
GaussianDWM: 3D Gaussian Driving World Model for Unified Scene Understanding and Multi-Modal Generation Improved baselines with visual instruction tuning
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T17:10:26.031555Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 77d3fde9-1b54-4a03-b293-00e2127e77ed · outbound
This paper cites Petr: Position embedding transformation for multi-view 3d object detection.
GaussianDWM: 3D Gaussian Driving World Model for Unified Scene Understanding and Multi-Modal Generation Petr: Position embedding transformation for multi-view 3d object detection
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T17:10:26.028720Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation a9a962a8-b05d-43cf-8abb-1bcb2e7dce43 · outbound
This paper cites Dreamdrive: Generative 4d scene modeling from street view images.
GaussianDWM: 3D Gaussian Driving World Model for Unified Scene Understanding and Multi-Modal Generation Dreamdrive: Generative 4d scene modeling from street view images
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T17:10:26.025930Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 972ac40c-f240-4684-a435-3610640f5757 · outbound
This paper cites Nerf: Representing scenes as neural radiance fields for view syn- thesis.Communications of the ACM, 65(1):99–106.
GaussianDWM: 3D Gaussian Driving World Model for Unified Scene Understanding and Multi-Modal Generation Nerf: Representing scenes as neural radiance fields for view syn- thesis.Communications of the ACM, 65(1):99–106
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T17:10:26.022990Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation cd8d2633-665f-4da9-9a18-65f516259708 · outbound
This paper cites Neural scene graphs for dynamic scenes.
GaussianDWM: 3D Gaussian Driving World Model for Unified Scene Understanding and Multi-Modal Generation Neural scene graphs for dynamic scenes
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T17:10:26.019645Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 204d4794-79fe-49ee-9cf3-26ce48aaea63 · outbound
This paper cites Bleu: a method for automatic evaluation of machine translation.
GaussianDWM: 3D Gaussian Driving World Model for Unified Scene Understanding and Multi-Modal Generation Bleu: a method for automatic evaluation of machine translation
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T17:10:26.016813Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation a5ecf34f-81cc-4998-ac08-a0498dcbcc04 · outbound
This paper cites A lesson in splats: Teacher-guided diffusion for 3d gaussian splats generation with 2d supervision.
GaussianDWM: 3D Gaussian Driving World Model for Unified Scene Understanding and Multi-Modal Generation A lesson in splats: Teacher-guided diffusion for 3d gaussian splats generation with 2d supervision
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T17:10:26.013952Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation ec19c342-9138-4638-ae7d-4f5dff1f7e68 · outbound
This paper cites Desire-gs: 4d street gaussians for static-dynamic decomposition and surface reconstruction for urban driving scenes.
GaussianDWM: 3D Gaussian Driving World Model for Unified Scene Understanding and Multi-Modal Generation Desire-gs: 4d street gaussians for static-dynamic decomposition and surface reconstruction for urban driving scenes
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T17:10:26.010944Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 43f3beeb-026e-4386-b4f3-88ac326ee877 · outbound
This paper cites Langsplat: 3d language gaussian splatting.
GaussianDWM: 3D Gaussian Driving World Model for Unified Scene Understanding and Multi-Modal Generation Langsplat: 3d language gaussian splatting
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T17:10:26.007857Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 92c859f4-c4ca-4391-b504-242bf9d40226 · outbound
This paper cites Drivelm: Driving with graph visual question answering.
GaussianDWM: 3D Gaussian Driving World Model for Unified Scene Understanding and Multi-Modal Generation Drivelm: Driving with graph visual question answering
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T17:10:26.005001Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 26ebf199-43b9-4ab6-97de-96e7ec64d2ea · outbound
This paper cites Driv- ingforward: Feed-forward 3d gaussian splatting for driving scene reconstruction from flexible surround-view input.
GaussianDWM: 3D Gaussian Driving World Model for Unified Scene Understanding and Multi-Modal Generation Driv- ingforward: Feed-forward 3d gaussian splatting for driving scene reconstruction from flexible surround-view input
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T17:10:26.001855Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 89696230-600f-455b-a254-00e1b1ae629f · outbound
This paper cites Suds: Scalable urban dynamic scenes.
GaussianDWM: 3D Gaussian Driving World Model for Unified Scene Understanding and Multi-Modal Generation Suds: Scalable urban dynamic scenes
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T17:10:25.998893Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 30cf4b65-afde-4d84-8480-50f97039f731 · outbound
This paper cites Cider: Consensus-based image description evalua- tion.
GaussianDWM: 3D Gaussian Driving World Model for Unified Scene Understanding and Multi-Modal Generation Cider: Consensus-based image description evalua- tion
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T17:10:25.995959Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation d6d7c433-764e-4e6e-85e6-d8585c2917e0 · outbound
This paper cites Freevs: Generative view synthesis on free driv- ing trajectory.
GaussianDWM: 3D Gaussian Driving World Model for Unified Scene Understanding and Multi-Modal Generation Freevs: Generative view synthesis on free driv- ing trajectory
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T17:10:25.993538Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 4bad99bb-55ef-4021-8ee7-0dc5ca1df234 · outbound
This paper cites Omnidrive: A holistic vision-language dataset for au- tonomous driving with counterfactual reasoning.
GaussianDWM: 3D Gaussian Driving World Model for Unified Scene Understanding and Multi-Modal Generation Omnidrive: A holistic vision-language dataset for au- tonomous driving with counterfactual reasoning
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T17:10:25.990708Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 570ef81b-118f-4e0b-9621-5568a715d339 · outbound
This paper cites Driving into the future: Multiview visual forecasting and planning with world model for au- tonomous driving.
GaussianDWM: 3D Gaussian Driving World Model for Unified Scene Understanding and Multi-Modal Generation Driving into the future: Multiview visual forecasting and planning with world model for au- tonomous driving
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T17:10:25.987613Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation e2751359-d733-4f8b-8c42-6fffe58c58fd · outbound
This paper cites Learning to Tune Like an Expert: Interpretable and Scene-Aware Navigation via MLLM Reasoning and CVAE-Based Adaptation.
GaussianDWM: 3D Gaussian Driving World Model for Unified Scene Understanding and Multi-Modal Generation Learning to Tune Like an Expert: Interpretable and Scene-Aware Navigation via MLLM Reasoning and CVAE-Based Adaptation
Reference 48
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T17:10:25.117502Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 0c78d41a-6594-41db-8417-259c653bfa7d · outbound
This paper cites FreeDriveRF: Monocular RGB Dynamic NeRF without Poses for Autonomous Driving via Point-Level Dynamic-Static Decoupling.
GaussianDWM: 3D Gaussian Driving World Model for Unified Scene Understanding and Multi-Modal Generation FreeDriveRF: Monocular RGB Dynamic NeRF without Poses for Autonomous Driving via Point-Level Dynamic-Static Decoupling
Reference 49
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T17:10:25.113160Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 4f9e0473-1be6-4a87-b4c6-c8487cfaf7d7 · outbound
This paper cites Dynamicrafter: Animating open-domain images with video diffusion priors.
GaussianDWM: 3D Gaussian Driving World Model for Unified Scene Understanding and Multi-Modal Generation Dynamicrafter: Animating open-domain images with video diffusion priors
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T17:10:25.984189Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation d5a040d2-0be0-445a-ad58-c6785259571a · outbound
This paper cites Cape: Camera view position embedding for multi-view 3d object detection.
GaussianDWM: 3D Gaussian Driving World Model for Unified Scene Understanding and Multi-Modal Generation Cape: Camera view position embedding for multi-view 3d object detection
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T17:10:25.981152Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation ac527803-74d2-47a8-ba17-3021452ec1e4 · outbound
This paper cites Drivegpt4: Interpretable end-to-end autonomous driving via large language model.IEEE Robotics and Automation Let- ters.
GaussianDWM: 3D Gaussian Driving World Model for Unified Scene Understanding and Multi-Modal Generation Drivegpt4: Interpretable end-to-end autonomous driving via large language model.IEEE Robotics and Automation Let- ters
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T17:10:25.978254Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation f4a4d8d2-6abd-45f2-a018-5bf6acd2293a · outbound
This paper cites Drivingsphere: Building a high-fidelity 4d world for closed- loop simulation.
GaussianDWM: 3D Gaussian Driving World Model for Unified Scene Understanding and Multi-Modal Generation Drivingsphere: Building a high-fidelity 4d world for closed- loop simulation
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T17:10:25.974931Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation b7edaaa9-10b7-40d2-8efd-cab150dfa4b5 · outbound
This paper cites Street gaussians: Modeling dynamic urban scenes with gaussian splatting.
GaussianDWM: 3D Gaussian Driving World Model for Unified Scene Understanding and Multi-Modal Generation Street gaussians: Modeling dynamic urban scenes with gaussian splatting
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T17:10:25.971991Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation d43fb6d7-b8a2-4d71-a1e9-0a91d583166c · outbound
This paper cites Qwen3 Technical Report.
GaussianDWM: 3D Gaussian Driving World Model for Unified Scene Understanding and Multi-Modal Generation Qwen3 Technical Report
Reference 55
- Resolution
- verified exact
- local_arxiv, observed 2026-05-21T17:10:25.144067Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation c6e30895-495d-4f34-a1c1-f4e46c8085d4 · outbound
This paper cites EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision.
GaussianDWM: 3D Gaussian Driving World Model for Unified Scene Understanding and Multi-Modal Generation EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision
Reference 56
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T17:10:25.104651Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 4307bcd8-2281-4233-92a0-41ccddbab1e1 · outbound
This paper cites STORM: Spatio-Temporal Reconstruction Model for Large-Scale Outdoor Scenes.
GaussianDWM: 3D Gaussian Driving World Model for Unified Scene Understanding and Multi-Modal Generation STORM: Spatio-Temporal Reconstruction Model for Large-Scale Outdoor Scenes
Reference 57
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T17:10:25.126719Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 4892945c-1197-4045-b17e-0b6982544b6f · outbound
This paper cites Deformable 3D Gaussians for High-Fidelity Monocular Dynamic Scene Reconstruction.
GaussianDWM: 3D Gaussian Driving World Model for Unified Scene Understanding and Multi-Modal Generation Deformable 3D Gaussians for High-Fidelity Monocular Dynamic Scene Reconstruction
Reference 58
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T17:10:25.183203Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation abc6635c-121c-42e2-b1f7-518a0714f065 · outbound
This paper cites Visual point cloud forecasting enables scalable autonomous driving.
GaussianDWM: 3D Gaussian Driving World Model for Unified Scene Understanding and Multi-Modal Generation Visual point cloud forecasting enables scalable autonomous driving
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T17:10:25.969213Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 1448b9dd-b4fa-4bac-a880-84ad3ac2ee60 · outbound
This paper cites Drivedreamer-2: Llm-enhanced world models for diverse driving video generation.
GaussianDWM: 3D Gaussian Driving World Model for Unified Scene Understanding and Multi-Modal Generation Drivedreamer-2: Llm-enhanced world models for diverse driving video generation
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T17:10:25.966280Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation a561ba29-651a-49e2-bdc8-6f643e12bc5e · outbound
This paper cites Extending Large Vision-Language Model for Diverse Interactive Tasks in Autonomous Driving.
GaussianDWM: 3D Gaussian Driving World Model for Unified Scene Understanding and Multi-Modal Generation Extending Large Vision-Language Model for Diverse Interactive Tasks in Autonomous Driving
Reference 61
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T17:10:25.162426Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation c0db86ef-5a47-47d0-8270-c69c21a01831 · outbound
This paper cites 3D-VLA: A 3D Vision-Language-Action Generative World Model.
GaussianDWM: 3D Gaussian Driving World Model for Unified Scene Understanding and Multi-Modal Generation 3D-VLA: A 3D Vision-Language-Action Generative World Model
Reference 62
- Resolution
- verified exact
- local_arxiv, observed 2026-05-21T17:10:25.157527Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation df848589-0fbf-4912-8a6c-53760c492a0d · outbound
This paper cites Drivinggaussian: Composite gaussian splatting for surrounding dynamic au- tonomous driving scenes.
GaussianDWM: 3D Gaussian Driving World Model for Unified Scene Understanding and Multi-Modal Generation Drivinggaussian: Composite gaussian splatting for surrounding dynamic au- tonomous driving scenes
Reference 63
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T17:10:25.963205Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 76b4ae62-c7e5-42df-959a-a0c1abf1c81a · outbound
This paper cites HERMES: A Unified Self-Driving World Model for Simultaneous 3D Scene Understanding and Generation.
GaussianDWM: 3D Gaussian Driving World Model for Unified Scene Understanding and Multi-Modal Generation HERMES: A Unified Self-Driving World Model for Simultaneous 3D Scene Understanding and Generation
Reference 64
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T17:10:25.174828Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 916059ab-6930-4e5e-bc2a-be41c95284dd · outbound
This paper cites MuDG: Taming Multi-modal Diffusion with Gaussian Splatting for Urban Scene Reconstruction.
GaussianDWM: 3D Gaussian Driving World Model for Unified Scene Understanding and Multi-Modal Generation MuDG: Taming Multi-modal Diffusion with Gaussian Splatting for Urban Scene Reconstruction
Reference 65
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T17:10:25.170652Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Pith citing papers
Observation ea80281b-b8c8-40b7-a35f-c1b13e144ed7 · inbound
Evolutionary Physics-Informed Temporal Fusion for Lane-Change Intention Prediction cites this paper.
Evolutionary Physics-Informed Temporal Fusion for Lane-Change Intention Prediction GaussianDWM: 3D Gaussian Driving World Model for Unified Scene Understanding and Multi-Modal Generation
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T13:31:10.576156Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9b3e77ca-d219-479a-a9ed-f9b9dfc89605 · inbound
Spatial navigation in preclinical Alzheimer's disease: A review cites this paper.
Spatial navigation in preclinical Alzheimer's disease: A review GaussianDWM: 3D Gaussian Driving World Model for Unified Scene Understanding and Multi-Modal Generation
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-07-13T19:53:53.219607Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5472f68e-b5be-45cc-862f-2f8792081ba3 · inbound
DINO-VO: Learning Where to Focus for Enhanced State Estimation cites this paper.
DINO-VO: Learning Where to Focus for Enhanced State Estimation GaussianDWM: 3D Gaussian Driving World Model for Unified Scene Understanding and Multi-Modal Generation
Reference 11
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T00:03:01.148630Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 5e55bb5d-c3d0-4818-825d-0134a35f8e41 · inbound
Appearance Decomposition Gaussian Splatting for Multi-Traversal Reconstruction cites this paper.
Appearance Decomposition Gaussian Splatting for Multi-Traversal Reconstruction GaussianDWM: 3D Gaussian Driving World Model for Unified Scene Understanding and Multi-Modal Generation
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T00:03:01.148630Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 613b953d-2777-404a-9919-556c9747648b · inbound
LLM-Augmented Traffic Signal Control with LSTM-Based Traffic State Prediction and Safety-Constrained Decision Support cites this paper.
LLM-Augmented Traffic Signal Control with LSTM-Based Traffic State Prediction and Safety-Constrained Decision Support GaussianDWM: 3D Gaussian Driving World Model for Unified Scene Understanding and Multi-Modal Generation
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T00:03:01.148630Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 8256753b-ba6b-4e00-92b4-ce3ec79adf70 · inbound
CoSAG: Compact Semantic Anchor Gaussians via Training-Free Rate-Distortion Coding cites this paper.
CoSAG: Compact Semantic Anchor Gaussians via Training-Free Rate-Distortion Coding GaussianDWM: 3D Gaussian Driving World Model for Unified Scene Understanding and Multi-Modal Generation
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T13:19:08.066069Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.