Paper Citation Record · LEDGER

Enhancing Autonomous Driving Safety through World Model-Based Predictive Navigation and Adaptive Learning Algorithms for 5G Wireless Applications

As of 14 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.

pith.paper-citation-record.v1
2411.15042 v2

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:38:23.224470Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+00:00.

Pith citing papers

No inbound Pith citation observations are available.