Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-12T04:13:37.421188Z
Paper Citation Record · LEDGER
DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving
As of 4 August 2026, this Paper Citation Record lists 100 of 232 outbound references and 1 inbound Pith citation observation for arXiv:2605.10564.
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 2026-08-03T15:03:43.554114Z
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
100 of 232 outbound references displayed
- verified exact2
- verified fuzzy56
- unresolved3
- parse uncertain0
- malformed identifier0
- metadata mismatch39
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation c2b2c079-b917-4627-996b-cb8b1db1d055 · outbound
This paper cites 2026 , eprint=.
DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving 2026 , eprint=
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T16:01:41.267714Z
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 ea516b7b-d978-4e48-af94-4ea9702571e9 · outbound
This paper cites 2025 , eprint=.
DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving 2025 , eprint=
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T16:01:41.177594Z
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 3fb171ca-5ccf-40e2-8f29-ac9041824bd8 · outbound
This paper cites 2024 , eprint=.
DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving 2024 , eprint=
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T16:01:41.203590Z
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 4b33defc-9b0b-4842-9a51-667fac7b2b80 · outbound
This paper cites 2025 , eprint=.
DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving 2025 , eprint=
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T16:01:41.264591Z
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 34eb2b26-ad79-467d-b69f-c13de64a3cfe · outbound
This paper cites 2025 , eprint=.
DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving 2025 , eprint=
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T16:01:41.270277Z
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 010613ef-a3a6-4e62-a1a2-f8aafaff6206 · outbound
This paper cites 2025 , eprint=.
DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving 2025 , eprint=
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T16:01:41.276569Z
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 53e110be-dbe0-42f0-ae1a-7dde4915cbfb · outbound
This paper cites 2024 , eprint=.
DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving 2024 , eprint=
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T16:01:41.226451Z
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 c8aac28a-3055-403a-b689-390d1338c77a · outbound
This paper cites 2024 , eprint=.
DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving 2024 , eprint=
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T16:01:41.243435Z
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 bb797341-e983-43ce-a237-8c4b6999266f · outbound
This paper cites 2025 , eprint=.
DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving 2025 , eprint=
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T16:01:41.255490Z
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 18fda733-12ea-499a-b3e9-f19a1ecaafcb · outbound
This paper cites OpenVLA: An Open-Source Vision-Language-Action Model.
DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving OpenVLA: An Open-Source Vision-Language-Action Model
Reference 10
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-12T06:31:26.015672Z
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 823731a8-84bb-436b-ab45-f863110b6a57 · outbound
This paper cites and Xu, Chenfeng and Tang, Chen and Li, Chenran and Ding, Mingyu and Tomizuka, Masayoshi and Zhan, Wei , booktitle=.
DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving and Xu, Chenfeng and Tang, Chen and Li, Chenran and Ding, Mingyu and Tomizuka, Masayoshi and Zhan, Wei , booktitle=
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T16:01:41.240755Z
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 40152d5d-08a4-4674-879e-a498b4ac901b · outbound
This paper cites AlphaDrive: Unleashing the Power of VLMs in Autonomous Driving via Reinforcement Learning and Reasoning.
DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving AlphaDrive: Unleashing the Power of VLMs in Autonomous Driving via Reinforcement Learning and Reasoning
Reference 13
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-16T20:06:27.342141Z
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 2e187d69-4e0a-42ac-8569-5c9fcaf7311a · outbound
This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=.
DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T16:01:41.261975Z
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 b3dc19e4-59e2-49ed-a29b-3572d1d83739 · outbound
This paper cites DRAMA: An Efficient End-to-end Motion Planner for Autonomous Driving with Mamba.
DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving DRAMA: An Efficient End-to-end Motion Planner for Autonomous Driving with Mamba
Reference 15
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T06:31:26.009642Z
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 9415de11-60f1-4026-9962-132517cd2b39 · outbound
This paper cites Finetuning generative trajectory model with reinforcement learning from human feedback.
DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving Finetuning generative trajectory model with reinforcement learning from human feedback
Reference 16
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T06:31:26.042887Z
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 0bfd85d2-204e-43ca-9751-3cc044fcff26 · outbound
This paper cites 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) , pages=.
DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) , pages=
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T16:01:41.167437Z
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 f06fe87d-4f4b-43d4-9ed0-92d7dd50f3e6 · outbound
This paper cites Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision , pages=.
DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision , pages=
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T16:01:41.222840Z
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 33a8e4b2-819d-4790-870b-7e1330a3f078 · outbound
This paper cites Closed-Loop Supervised Fine-Tuning of Tokenized Traffic Models.
DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving Closed-Loop Supervised Fine-Tuning of Tokenized Traffic Models
Reference 19
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T06:31:26.004374Z
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 b179e592-beb7-4196-a367-736ea11f4c73 · outbound
This paper cites Advances in Neural Information Processing Systems , volume=.
DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving Advances in Neural Information Processing Systems , volume=
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T16:01:41.259346Z
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 9ef97119-3fa8-45a1-bcd4-5c0703a0baf5 · outbound
This paper cites ORION: A Holistic End-to-End Autonomous Driving Framework by Vision-Language Instructed Action Generation.
DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving ORION: A Holistic End-to-End Autonomous Driving Framework by Vision-Language Instructed Action Generation
Reference 21
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-17T08:10:39.718006Z
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 8ccd1cf4-c731-4848-b941-f836d59d168c · outbound
This paper cites Hydra-MDP: End-to-end Multimodal Planning with Multi-target Hydra-Distillation.
DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving Hydra-MDP: End-to-end Multimodal Planning with Multi-target Hydra-Distillation
Reference 22
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-13T23:13:55.802367Z
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 b77075f1-23fb-4950-a311-f0d324cadeba · outbound
This paper cites Centaur: Robust End-to-End Autonomous Driving with Test-Time Training.
DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving Centaur: Robust End-to-End Autonomous Driving with Test-Time Training
Reference 23
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T06:31:26.101624Z
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 e9d4edf1-5119-4f17-8189-9e38c16eb4e8 · outbound
This paper cites Gen-Drive: Enhancing Diffusion Generative Driving Policies with Reward Modeling and Reinforcement Learning Fine-tuning.
DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving Gen-Drive: Enhancing Diffusion Generative Driving Policies with Reward Modeling and Reinforcement Learning Fine-tuning
Reference 24
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T06:31:26.058928Z
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 7bc883c6-aec3-4642-ada9-55a9d44729a7 · outbound
This paper cites IEEE transactions on pattern analysis and machine intelligence , volume=.
DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving IEEE transactions on pattern analysis and machine intelligence , volume=
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T16:01:41.182402Z
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 594cd707-9fb6-4dd7-aeae-c57426a3b583 · outbound
This paper cites Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=.
DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T16:01:41.279675Z
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 69dc53bb-331e-43aa-b1a8-ab86337f7531 · outbound
This paper cites IEEE Transactions on Pattern Analysis and Machine Intelligence , year=.
DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving IEEE Transactions on Pattern Analysis and Machine Intelligence , year=
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T16:01:41.156768Z
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 d3c06254-652a-43a9-81e9-0f1b01d7b375 · outbound
This paper cites European Conference on Computer Vision , pages=.
DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving European Conference on Computer Vision , pages=
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T16:01:41.174383Z
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 187c4339-36ad-42e3-bcd0-f86a94ecd99f · outbound
This paper cites GPT-Driver: Learning to Drive with GPT.
DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving GPT-Driver: Learning to Drive with GPT
Reference 29
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-15T15:05:32.082062Z
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 ae48329b-b1e2-4a59-a17d-1435af16230d · outbound
This paper cites Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=.
DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T16:01:41.171145Z
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 ea951d77-167c-4181-8498-6d1dcb74d744 · outbound
This paper cites WiseAD: Knowledge Augmented End-to-End Autonomous Driving with Vision-Language Model.
DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving WiseAD: Knowledge Augmented End-to-End Autonomous Driving with Vision-Language Model
Reference 31
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T06:31:26.091928Z
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 6448425a-e02c-4078-835b-9e626afb9d13 · outbound
This paper cites SparseDrive: End-to-End Autonomous Driving via Sparse Scene Representation.
DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving SparseDrive: End-to-End Autonomous Driving via Sparse Scene Representation
Reference 32
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T06:31:25.909617Z
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 d6b6eb70-01c1-4b1e-9565-e9ebd44d608d · outbound
This paper cites 2025 , howpublished =.
DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving 2025 , howpublished =
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T16:01:41.219800Z
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 56dbcb58-3fe6-4a8a-a79e-d2b6c52e1149 · outbound
This paper cites Proceedings of the IEEE/CVF International Conference on Computer Vision , pages=.
DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving Proceedings of the IEEE/CVF International Conference on Computer Vision , pages=
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T16:01:41.237875Z
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 3281c1b7-d61d-4d9d-a493-adf4eb66061d · outbound
This paper cites Rethinking the Open-Loop Evaluation of End-to-End Autonomous Driving in nuScenes.
DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving Rethinking the Open-Loop Evaluation of End-to-End Autonomous Driving in nuScenes
Reference 35
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-17T08:17:19.813694Z
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 c053d578-8a55-40ef-ab24-ff63010c387a · outbound
This paper cites Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) , month =.
DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) , month =
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T16:01:41.253011Z
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 e9d53bf8-f501-47f2-b132-93c11516ec4a · outbound
This paper cites FAST: Efficient Action Tokenization for Vision-Language-Action Models.
DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving FAST: Efficient Action Tokenization for Vision-Language-Action Models
Reference 37
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-12T06:31:26.111984Z
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 09940d9b-bcbf-4ac0-abc7-1b01c9dea09f · outbound
This paper cites CoT-VLA: Visual Chain-of-Thought Reasoning for Vision-Language-Action Models.
DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving CoT-VLA: Visual Chain-of-Thought Reasoning for Vision-Language-Action Models
Reference 38
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-16T05:21:45.399848Z
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 45f05797-c839-4312-8b12-28e86d7c1dd1 · outbound
This paper cites Advances in Neural Information Processing Systems , volume=.
DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving Advances in Neural Information Processing Systems , volume=
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T16:01:41.235084Z
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 a6680f47-67f5-49d3-8a2b-b7b5b89baebb · outbound
This paper cites IEEE Journal of Biomedical and Health Informatics , year=.
DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving IEEE Journal of Biomedical and Health Informatics , year=
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T16:01:41.250054Z
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 ac9828ee-2f90-4472-9bca-854072cec96f · outbound
This paper cites 2024 IEEE International Conference on Robotics and Automation (ICRA) , pages=.
DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving 2024 IEEE International Conference on Robotics and Automation (ICRA) , pages=
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T16:01:41.207488Z
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 7fbc6f73-60b8-432e-85e7-699c6debe598 · outbound
This paper cites VLM-AD: End-to-End Autonomous Driving through Vision-Language Model Supervision.
DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving VLM-AD: End-to-End Autonomous Driving through Vision-Language Model Supervision
Reference 43
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T06:31:26.074378Z
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 ef1419c5-97c0-499c-a9f6-9896ff2f6977 · outbound
This paper cites Advances in Neural Information Processing Systems , volume=.
DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving Advances in Neural Information Processing Systems , volume=
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T16:01:41.273096Z
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 17dd6a4f-2ea6-448d-aec9-904debc2ce7e · outbound
This paper cites Proceedings of the IEEE/CVF International Conference on Computer Vision , pages=.
DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving Proceedings of the IEEE/CVF International Conference on Computer Vision , pages=
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T16:01:41.232096Z
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 82cf1d16-6332-4ae0-9e9b-7225ce00990f · outbound
This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.
DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
Reference 46
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-12T06:31:25.884275Z
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 3bc5f97d-7001-4f7e-b2a7-cc308aabd886 · outbound
This paper cites an unresolved cited work.
DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving Unresolved cited work
Reference 47
- Resolution
- unresolved
- raw_fallback, observed 2026-05-12T16:01:41.216841Z
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 1db80ffd-c2a6-44bc-a1e6-2bf30377fedc · outbound
This paper cites Trajeglish: Traffic Modeling as Next-Token Prediction.
DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving Trajeglish: Traffic Modeling as Next-Token Prediction
Reference 48
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T06:31:25.956357Z
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 95afafe0-6a52-4424-8e90-ea31836c7e6e · outbound
This paper cites DriveCoT: Integrating Chain-of-Thought Reasoning with End-to-End Driving.
DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving DriveCoT: Integrating Chain-of-Thought Reasoning with End-to-End Driving
Reference 49
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T06:31:25.968518Z
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 a37cde28-21dc-4067-ac77-7b81bd81f6d6 · outbound
This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=.
DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T16:01:41.163955Z
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 2f637261-6fbc-424e-a83c-b7b909c803e5 · outbound
This paper cites IEEE Robotics and Automation Letters , year=.
DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving IEEE Robotics and Automation Letters , year=
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T16:01:41.247041Z
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 97223020-16f8-4cc1-a753-66230fc0aea0 · outbound
This paper cites 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) , pages=.
DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) , pages=
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T16:01:41.160715Z
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 0c567676-f9eb-4692-ae88-df2d94edf05a · outbound
This paper cites CarLLaVA: Vision language models for camera-only closed-loop driving.
DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving CarLLaVA: Vision language models for camera-only closed-loop driving
Reference 53
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T06:31:25.869965Z
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 defa938a-8223-47fc-b54d-90ff99c5e8b2 · outbound
This paper cites Rad: Training an end-to-end driving policy via large-scale 3dgs-based reinforcement learning.
DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving Rad: Training an end-to-end driving policy via large-scale 3dgs-based reinforcement learning
Reference 54
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T06:31:25.904058Z
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 2fb05018-e841-42e0-918f-d4618db27d56 · outbound
This paper cites SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training.
DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training
Reference 55
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T21:31:30.352830Z
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 051d4116-e81a-463c-905c-76f3d651108a · outbound
This paper cites OmniDrive: A Holistic Vision-Language Dataset for Autonomous Driving with Counterfactual Reasoning.
DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving OmniDrive: A Holistic Vision-Language Dataset for Autonomous Driving with Counterfactual Reasoning
Reference 56
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T06:31:26.083342Z
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 6458c25d-60af-4597-98b9-56754c617ec4 · outbound
This paper cites European Conference on Computer Vision , pages=.
DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving European Conference on Computer Vision , pages=
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T16:01:41.210868Z
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 b3ae9691-049d-4fc1-b7d2-4607341cfd51 · outbound
This paper cites DriveVLM: The Convergence of Autonomous Driving and Large Vision-Language Models.
DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving DriveVLM: The Convergence of Autonomous Driving and Large Vision-Language Models
Reference 58
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T19:22:35.820214Z
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 451577da-0761-4d38-9627-505ed2c7f9b4 · outbound
This paper cites NuPlanQA: A Large-Scale Dataset and Benchmark for Multi-View Driving Scene Understanding in Multi-Modal Large Language Models.
DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving NuPlanQA: A Large-Scale Dataset and Benchmark for Multi-View Driving Scene Understanding in Multi-Modal Large Language Models
Reference 59
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T06:31:26.122346Z
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 735247b1-fea0-4a8c-82f8-86eb9723a609 · outbound
This paper cites SimLingo: Vision-Only Closed-Loop Autonomous Driving with Language-Action Alignment.
DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving SimLingo: Vision-Only Closed-Loop Autonomous Driving with Language-Action Alignment
Reference 60
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T06:31:26.034972Z
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 994d863f-fcf7-486b-906f-eab737c78c60 · outbound
This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=.
DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T16:06:40.937791Z
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 21b49ee9-c672-4645-81f3-8243bf2d1269 · outbound
This paper cites Opendrivevla: Towards end-to-end au- tonomous driving with large vision language action model.
DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving Opendrivevla: Towards end-to-end au- tonomous driving with large vision language action model
Reference 62
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T06:31:26.130892Z
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 29dcd786-0f94-49ee-9b36-77d5a7e78f5b · outbound
This paper cites Advances in Neural Information Processing Systems , volume=.
DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving Advances in Neural Information Processing Systems , volume=
Reference 63
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T16:06:40.953338Z
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 f5232aac-740a-460f-a4d8-f278ef4775c7 · outbound
This paper cites Driving with regulation: Interpretable decision-making for autonomous vehicles with retrieval-augmented reasoning via llm.
DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving Driving with regulation: Interpretable decision-making for autonomous vehicles with retrieval-augmented reasoning via llm
Reference 64
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T06:31:26.256851Z
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 e867be1a-110d-4a8e-93c9-d9452c2a349e · outbound
This paper cites Qwen3 Technical Report.
DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving Qwen3 Technical Report
Reference 65
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-12T06:31:26.173239Z
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 c8d23898-132e-4b7b-ac2e-ea98da58411e · outbound
This paper cites AutoVLA: A Vision-Language-Action Model for End-to-End Autonomous Driving with Adaptive Reasoning and Reinforcement Fine-Tuning.
DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving AutoVLA: A Vision-Language-Action Model for End-to-End Autonomous Driving with Adaptive Reasoning and Reinforcement Fine-Tuning
Reference 66
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-14T21:46:44.401546Z
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 e780b911-360e-4e84-bd8f-1ab4a48c40e1 · outbound
This paper cites Proceedings of the Winter Conference on Applications of Computer Vision , pages=.
DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving Proceedings of the Winter Conference on Applications of Computer Vision , pages=
Reference 68
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T16:06:40.879297Z
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 e7b96328-05df-46a3-9735-1bd4110545a2 · outbound
This paper cites ReasonPlan: Unified scene prediction and decision reasoning for closed-loop autonomous driving.
DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving ReasonPlan: Unified scene prediction and decision reasoning for closed-loop autonomous driving
Reference 69
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T06:31:26.303957Z
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 ddc3c0a1-a6bb-46fc-ae0d-7ec712696f3a · outbound
This paper cites DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving.
DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving
Reference 70
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T06:31:26.495950Z
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 937a6a68-21a8-46c8-bbbd-bcdd76e2fccc · outbound
This paper cites IEEE Transactions on Pattern Analysis and Machine Intelligence , year=.
DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving IEEE Transactions on Pattern Analysis and Machine Intelligence , year=
Reference 71
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T16:06:40.941172Z
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 e981f29d-2d90-4694-90b6-b1b2e6f777f1 · outbound
This paper cites IEEE Transactions on Pattern Analysis and Machine Intelligence , volume=.
DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving IEEE Transactions on Pattern Analysis and Machine Intelligence , volume=
Reference 72
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T16:06:40.820913Z
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 9872ad1b-8862-4868-ad37-65578abfbc57 · outbound
This paper cites QCNeXt: A Next-Generation Framework For Joint Multi-Agent Trajectory Prediction.
DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving QCNeXt: A Next-Generation Framework For Joint Multi-Agent Trajectory Prediction
Reference 73
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T06:31:26.345389Z
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 9ca2b715-4e4b-4ebe-a244-c8e60fdfd2df · outbound
This paper cites IEEE transactions on neural networks and learning systems , year=.
DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving IEEE transactions on neural networks and learning systems , year=
Reference 74
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T16:06:40.864930Z
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 5942a343-a385-464e-ae2d-5c1000266656 · outbound
This paper cites Proceedings of the IEEE/CVF International Conference on Computer Vision , pages=.
DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving Proceedings of the IEEE/CVF International Conference on Computer Vision , pages=
Reference 75
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T16:06:40.886197Z
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 1ae0ef71-6621-40e3-bced-716d2524f5fa · outbound
This paper cites Conference on Robot Learning , pages=.
DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving Conference on Robot Learning , pages=
Reference 76
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T16:06:40.916593Z
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 9005acff-d781-452a-9e8b-eef2800bb3a3 · outbound
This paper cites 2025 , eprint=.
DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving 2025 , eprint=
Reference 77
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T16:06:40.984746Z
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 d410b476-6e9a-4128-ab47-358f5a39a8d5 · outbound
This paper cites an unresolved cited work.
DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving Unresolved cited work
Reference 78
- Resolution
- unresolved
- raw_fallback, observed 2026-05-12T16:06:40.801653Z
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 3fa667bc-f8eb-49ed-9f74-1e79359772ff · outbound
This paper cites IEEE Transactions on Pattern Analysis and Machine Intelligence , year=.
DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving IEEE Transactions on Pattern Analysis and Machine Intelligence , year=
Reference 79
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T16:06:40.817436Z
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 0467d8e1-f04c-4823-9182-58bd220cd35e · outbound
This paper cites Advances in Neural Information Processing Systems , volume=.
DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving Advances in Neural Information Processing Systems , volume=
Reference 80
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T16:06:40.892998Z
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 f881eb56-3703-4741-a14e-20519191675f · outbound
This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=.
DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=
Reference 81
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T16:06:40.949107Z
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 543ba632-7f35-429f-a6e4-6fac14e29e47 · outbound
This paper cites Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=.
DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=
Reference 82
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T16:06:40.787213Z
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 3d4ddf19-9b1a-4f2d-8af9-1d9cab348fe0 · outbound
This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=.
DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=
Reference 83
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T16:06:40.857285Z
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 b8325313-6c88-43bd-8bef-c23a57865a43 · outbound
This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , month =.
DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , month =
Reference 84
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T16:06:40.797440Z
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 bef7b105-1993-4c82-837b-ec39e87e2407 · outbound
This paper cites European Conference on Computer Vision , pages=.
DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving European Conference on Computer Vision , pages=
Reference 85
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T16:06:40.875665Z
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 9c4a0852-42e8-4dda-baa1-c7504bfeae38 · outbound
This paper cites IEEE Transactions on Intelligent Vehicles , year=.
DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving IEEE Transactions on Intelligent Vehicles , year=
Reference 86
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T16:06:40.965593Z
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 c01b4c31-4825-40a3-ad8b-c404b405546c · outbound
This paper cites Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=.
DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=
Reference 87
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T16:06:40.872183Z
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 1274fbaf-10d9-4b6c-9c5b-a8191e0d5359 · outbound
This paper cites 2023 IEEE International Conference on Robotics and Automation (ICRA) , pages=.
DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving 2023 IEEE International Conference on Robotics and Automation (ICRA) , pages=
Reference 88
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T16:06:40.849815Z
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 13b57f0a-f6ee-4422-bd7a-6e1ec9e965c0 · outbound
This paper cites 2024 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW) , pages=.
DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving 2024 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW) , pages=
Reference 89
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T16:06:40.975764Z
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 3a040f34-73a3-446b-b441-fb17350280ff · outbound
This paper cites 2011 , publisher=.
DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving 2011 , publisher=
Reference 90
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T16:06:40.845502Z
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 34db6251-2a83-4904-9191-69342fe7fa8c · outbound
This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=.
DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=
Reference 91
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T16:06:40.900273Z
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 1623a112-cb4b-42c7-a2db-54b95ab95a79 · outbound
This paper cites Hint-AD: Holistically Aligned Interpretability in End-to-End Autonomous Driving.
DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving Hint-AD: Holistically Aligned Interpretability in End-to-End Autonomous Driving
Reference 92
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T06:31:26.511356Z
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 5fb5c2f1-dd14-4e91-ab67-49be0885324f · outbound
This paper cites OpenAI o1 System Card.
DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving OpenAI o1 System Card
Reference 93
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-12T06:31:26.139752Z
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 da85e2f6-a869-45f7-9944-206fbfd0f43f · outbound
This paper cites Advances in neural information processing systems , volume=.
DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving Advances in neural information processing systems , volume=
Reference 94
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T16:06:40.957701Z
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 db57422c-6678-415b-9b3d-2e46b664cdc8 · outbound
This paper cites Advances in Neural Information Processing Systems , volume=.
DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving Advances in Neural Information Processing Systems , volume=
Reference 95
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T16:06:40.927007Z
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 19f878db-d721-436a-aaee-40715ae10e1e · outbound
This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.
DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
Reference 96
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-12T06:31:26.459822Z
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 a4296077-2ae3-4300-a631-ca8b99897df2 · outbound
This paper cites Drivemlm: Aligning multi-modal large language models with behavioral planning states for au- tonomous driving.
DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving Drivemlm: Aligning multi-modal large language models with behavioral planning states for au- tonomous driving
Reference 97
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T06:31:26.469197Z
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 5529bb31-e7d3-4efa-a8d2-66980821417f · outbound
This paper cites CoT-Drive: Efficient Motion Forecasting for Autonomous Driving with LLMs and Chain-of-Thought Prompting.
DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving CoT-Drive: Efficient Motion Forecasting for Autonomous Driving with LLMs and Chain-of-Thought Prompting
Reference 98
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T06:31:26.147285Z
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 f52b0934-0874-4bcb-8196-2388f6c79497 · outbound
This paper cites 2025 , eprint=.
DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving 2025 , eprint=
Reference 99
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T16:06:40.913065Z
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 fc1d682d-1320-42a3-a4df-7efeb50a9e86 · outbound
This paper cites Distilling Multi-modal Large Language Models for Autonomous Driving.
DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving Distilling Multi-modal Large Language Models for Autonomous Driving
Reference 100
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T06:31:26.200891Z
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 555e80c3-7d1b-4587-ad71-1efbb01853b3 · outbound
This paper cites Vlm-e2e: Enhancing end-to-end autonomous driving with multimodal driver attention fusion.
DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving Vlm-e2e: Enhancing end-to-end autonomous driving with multimodal driver attention fusion
Reference 101
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T06:31:26.261775Z
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 76f73ccd-6671-43f6-a57b-43b13b03ec15 · outbound
This paper cites Tokenize the World into Object-level Knowledge to Address Long-tail Events in Autonomous Driving.
DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving Tokenize the World into Object-level Knowledge to Address Long-tail Events in Autonomous Driving
Reference 102
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T06:31:26.236731Z
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 6c3dadd6-b4ea-4dc6-a0a7-00a8d18be227 · outbound
This paper cites an unresolved cited work.
DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving Unresolved cited work
Reference 103
- Resolution
- unresolved
- raw_fallback, observed 2026-05-12T16:06:40.930554Z
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 5f62add2-5a8c-4375-8468-fb0afdaff636 · inbound
Auto-JEPA: A Latent World Model of Continuous Intent for End-to-End Autonomous Driving cites this paper.
Auto-JEPA: A Latent World Model of Continuous Intent for End-to-End Autonomous Driving DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T15:03:43.554114Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.