Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-12T14:38:23.224470Z
Paper Citation Record · LEDGER
Enhancing Autonomous Driving Safety through World Model-Based Predictive Navigation and Adaptive Learning Algorithms for 5G Wireless Applications
As of 13 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2411.15042.
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 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
24 of 24 outbound references displayed
- verified exact2
- verified fuzzy19
- unresolved3
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 9312fcfa-38b7-4fdb-bc3a-1d45d224e6bd · outbound
This paper cites Visual Foresight: Model-Based Deep Reinforcement Learning for Vision-Based Robotic Control.
Enhancing Autonomous Driving Safety through World Model-Based Predictive Navigation and Adaptive Learning Algorithms for 5G Wireless Applications Visual Foresight: Model-Based Deep Reinforcement Learning for Vision-Based Robotic Control
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T14:38:22.796369Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f01a7506-c7a2-4253-b22e-17a3bf23e6ac · outbound
This paper cites Deep visual foresight for planning robot motion,.
Enhancing Autonomous Driving Safety through World Model-Based Predictive Navigation and Adaptive Learning Algorithms for 5G Wireless Applications Deep visual foresight for planning robot motion,
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T14:38:24.192421Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation b8712c32-f1eb-4386-a879-c262968b632b · outbound
This paper cites Unsupervised learning for physical interaction through video prediction,.
Enhancing Autonomous Driving Safety through World Model-Based Predictive Navigation and Adaptive Learning Algorithms for 5G Wireless Applications Unsupervised learning for physical interaction through video prediction,
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T14:38:24.117102Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 2c2180fa-d264-496c-85fb-7b8c0a52348a · outbound
This paper cites Solar: Deep structured representations for model-based reinforcement learning,.
Enhancing Autonomous Driving Safety through World Model-Based Predictive Navigation and Adaptive Learning Algorithms for 5G Wireless Applications Solar: Deep structured representations for model-based reinforcement learning,
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T14:38:24.108997Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation c63121fd-ba16-429f-97ca-3a80fedef6cd · outbound
This paper cites Neural network dynamics for model-based deep reinforcement learning with model- free fine-tuning,.
Enhancing Autonomous Driving Safety through World Model-Based Predictive Navigation and Adaptive Learning Algorithms for 5G Wireless Applications Neural network dynamics for model-based deep reinforcement learning with model- free fine-tuning,
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T14:38:24.099339Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 51a6b30e-b809-475a-bf95-1dad1718e386 · outbound
This paper cites Safe reinforcement learning with model uncertainty estimates,.
Enhancing Autonomous Driving Safety through World Model-Based Predictive Navigation and Adaptive Learning Algorithms for 5G Wireless Applications Safe reinforcement learning with model uncertainty estimates,
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T14:38:24.089789Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 80049ace-6cc0-4e17-beaf-328ebd6f8e99 · outbound
This paper cites King: Generating safety-critical driving scenarios for robust imitation via kinematics gradients,.
Enhancing Autonomous Driving Safety through World Model-Based Predictive Navigation and Adaptive Learning Algorithms for 5G Wireless Applications King: Generating safety-critical driving scenarios for robust imitation via kinematics gradients,
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T14:38:24.081177Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 7db9dfdd-8ef7-4514-b9e9-2aaf74ae491f · outbound
This paper cites On the importance of hyperparameter optimization for model-based reinforcement learning,.
Enhancing Autonomous Driving Safety through World Model-Based Predictive Navigation and Adaptive Learning Algorithms for 5G Wireless Applications On the importance of hyperparameter optimization for model-based reinforcement learning,
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T14:38:24.064077Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 751369e3-70ab-429d-a71c-78dc44e943da · outbound
This paper cites On effective scheduling of model-based reinforcement learning,.
Enhancing Autonomous Driving Safety through World Model-Based Predictive Navigation and Adaptive Learning Algorithms for 5G Wireless Applications On effective scheduling of model-based reinforcement learning,
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T14:38:24.052848Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation b7b6a1c2-7d50-4a23-96e3-3548798fc415 · outbound
This paper cites Safe model-based reinforcement learning with an uncertainty-aware reachability certificate,.
Enhancing Autonomous Driving Safety through World Model-Based Predictive Navigation and Adaptive Learning Algorithms for 5G Wireless Applications Safe model-based reinforcement learning with an uncertainty-aware reachability certificate,
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T14:38:24.041127Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 62a285db-37ea-47c8-b322-e5d5e76bec67 · outbound
This paper cites Bridging Sim2Real Gap Using Image Gradients for the Task of End-to-End Autonomous Driving.
Enhancing Autonomous Driving Safety through World Model-Based Predictive Navigation and Adaptive Learning Algorithms for 5G Wireless Applications Bridging Sim2Real Gap Using Image Gradients for the Task of End-to-End Autonomous Driving
Reference 11
- Resolution
- verified exact
- local_arxiv, observed 2026-08-12T14:38:23.336414Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation faab22b1-9686-4c0b-ac3c-859da2117098 · outbound
This paper cites Controlling steering angle for cooperative self-driving vehicles utilizing CNN and LSTM- based deep networks,.
Enhancing Autonomous Driving Safety through World Model-Based Predictive Navigation and Adaptive Learning Algorithms for 5G Wireless Applications Controlling steering angle for cooperative self-driving vehicles utilizing CNN and LSTM- based deep networks,
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T14:38:24.005964Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation b947c5f6-9509-4a08-b446-28df04d8269c · outbound
This paper cites Bi-directional domain adaptation for sim2real transfer of embodied navigation agents,.
Enhancing Autonomous Driving Safety through World Model-Based Predictive Navigation and Adaptive Learning Algorithms for 5G Wireless Applications Bi-directional domain adaptation for sim2real transfer of embodied navigation agents,
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T14:38:23.859714Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 4bf2456a-3813-4dec-9b43-e10aac7a7bbe · outbound
This paper cites An autonomous lane-changing system with knowledge accumulation and transfer assisted by vehicular blockchain,.
Enhancing Autonomous Driving Safety through World Model-Based Predictive Navigation and Adaptive Learning Algorithms for 5G Wireless Applications An autonomous lane-changing system with knowledge accumulation and transfer assisted by vehicular blockchain,
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T14:38:23.823613Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 2b4239e8-8038-4aff-8e9a-f810baab269b · outbound
This paper cites Intervention Design for Effective Sim2Real Transfer.
Enhancing Autonomous Driving Safety through World Model-Based Predictive Navigation and Adaptive Learning Algorithms for 5G Wireless Applications Intervention Design for Effective Sim2Real Transfer
Reference 15
- Resolution
- verified exact
- local_arxiv, observed 2026-08-12T14:38:23.286870Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 06b865c8-84fd-4c17-85a9-9ce505c74448 · outbound
This paper cites Domain randomization for transferring deep neural networks from simulation to the real world,.
Enhancing Autonomous Driving Safety through World Model-Based Predictive Navigation and Adaptive Learning Algorithms for 5G Wireless Applications Domain randomization for transferring deep neural networks from simulation to the real world,
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T14:38:23.738747Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 2024bee4-5cb8-42cf-b79d-1e6eaf77169c · outbound
This paper cites Heterogeneous sensor fusion for accurate state estimation of dynamic legged robots,.
Enhancing Autonomous Driving Safety through World Model-Based Predictive Navigation and Adaptive Learning Algorithms for 5G Wireless Applications Heterogeneous sensor fusion for accurate state estimation of dynamic legged robots,
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T14:38:23.630658Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation be9c1d50-153e-4298-9866-c91c000f8def · outbound
This paper cites Robots that can adapt like animals,.
Enhancing Autonomous Driving Safety through World Model-Based Predictive Navigation and Adaptive Learning Algorithms for 5G Wireless Applications Robots that can adapt like animals,
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T14:38:23.486709Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation bd2401c3-f103-450a-a599-70922db691c3 · outbound
This paper cites an unresolved cited work.
Enhancing Autonomous Driving Safety through World Model-Based Predictive Navigation and Adaptive Learning Algorithms for 5G Wireless Applications Unresolved cited work
Reference 20
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T14:38:23.391101Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation e6f02dc2-c31f-4b36-bc45-f07e948dfea9 · outbound
This paper cites Towards fully autonomous driving: Systems and algorithms,.
Enhancing Autonomous Driving Safety through World Model-Based Predictive Navigation and Adaptive Learning Algorithms for 5G Wireless Applications Towards fully autonomous driving: Systems and algorithms,
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T14:38:23.792633Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 1b2fef70-d5e5-4094-a434-4b35441a8f30 · outbound
This paper cites ChauffeurNet: Learning to Drive by Imitating the Best and Synthesizing the Worst.
Enhancing Autonomous Driving Safety through World Model-Based Predictive Navigation and Adaptive Learning Algorithms for 5G Wireless Applications ChauffeurNet: Learning to Drive by Imitating the Best and Synthesizing the Worst
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T14:38:23.065569Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation be371d99-af61-4177-b82b-c4e2bed6ebe3 · outbound
This paper cites Z., Yershov, D., & Frazzoli, E.
Enhancing Autonomous Driving Safety through World Model-Based Predictive Navigation and Adaptive Learning Algorithms for 5G Wireless Applications Z., Yershov, D., & Frazzoli, E
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T14:38:23.380809Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 659c9edf-318d-4050-83d9-b1d004974f12 · outbound
This paper cites A survey of motion planning and control techniques for self-driving urban vehicles,.
Enhancing Autonomous Driving Safety through World Model-Based Predictive Navigation and Adaptive Learning Algorithms for 5G Wireless Applications A survey of motion planning and control techniques for self-driving urban vehicles,
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T14:38:23.372431Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 72855a52-59f8-4501-9dba-84047d30a5b7 · outbound
This paper cites Autonomous Driving Roadway Feature Interpretation Using Integrated Semantic Analysis and Domain Adaptation,.
Enhancing Autonomous Driving Safety through World Model-Based Predictive Navigation and Adaptive Learning Algorithms for 5G Wireless Applications Autonomous Driving Roadway Feature Interpretation Using Integrated Semantic Analysis and Domain Adaptation,
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T14:38:23.354733Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Pith citing papers
No inbound Pith citation observations are available.