Paper Citation Record · LEDGER

Ego-centric Learning of Communicative World Models for Autonomous Driving

As of 7 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 2 inbound Pith citation observations for arXiv:2506.08149.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2506.08149 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:27:42.446479Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:57:08.704505Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-06T17:57:08.967016Z

Reference resolution

35 of 35 outbound references displayed

verified exact0
verified fuzzy16
unresolved19
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4519568a-4a0b-4ff3-bc25-694804e0d8f0 · outbound

This paper cites Deep Learning using Rectified Linear Units (ReLU).

Ego-centric Learning of Communicative World Models for Autonomous Driving Deep Learning using Rectified Linear Units (ReLU)

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T05:27:42.287953Z

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Observation fdcb6ef0-eda9-4bb8-8b14-74d365d3fb33 · outbound

This paper cites With Assumption Assumption 3 holds, we obtain the following bound, rl − ˆrl ≤Lr(1 + Lπ)ϵt+l Qt+L − ˆQt+L ≤LQ(1 + Lπ)ϵt+L, where LQ := Lr 1−γ.

Ego-centric Learning of Communicative World Models for Autonomous Driving With Assumption Assumption 3 holds, we obtain the following bound, rl − ˆrl ≤Lr(1 + Lπ)ϵt+l Qt+L − ˆQt+L ≤LQ(1 + Lπ)ϵt+L, where LQ := Lr 1−γ

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:42.882420Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 166c3fc5-cc58-46b5-affc-1085bc8ddf65 · outbound

This paper cites Model-free deep reinforcement learning for urban autonomous driving.

Ego-centric Learning of Communicative World Models for Autonomous Driving Model-free deep reinforcement learning for urban autonomous driving

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:43.051714Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 77736695-5a54-49f0-af4b-0a3b7b042b35 · outbound

This paper cites The BEV representation can be learnt by using algorithms such as BevFusion Liu et al.

Ego-centric Learning of Communicative World Models for Autonomous Driving The BEV representation can be learnt by using algorithms such as BevFusion Liu et al

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:42.836384Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 976ab7c1-8086-4c34-9f96-c412bb17a252 · outbound

This paper cites We provide the detailed demo videos and images in the supplementary materials.

Ego-centric Learning of Communicative World Models for Autonomous Driving We provide the detailed demo videos and images in the supplementary materials

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:42.866478Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 825c701a-4fa1-4d10-b570-1395fb7dc130 · outbound

This paper cites E.2 W ORLD MODEL TRAINING We use Dreamer v3 Hafner et al.

Ego-centric Learning of Communicative World Models for Autonomous Driving E.2 W ORLD MODEL TRAINING We use Dreamer v3 Hafner et al

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:42.850893Z

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Observation 8a156622-9757-49d9-bfde-b0d969bbe435 · outbound

This paper cites Mastering Diverse Domains through World Models.

Ego-centric Learning of Communicative World Models for Autonomous Driving Mastering Diverse Domains through World Models

Reference 11

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Observation 6dcef7f7-d4e3-4509-9746-e9a20592d7ac · outbound

This paper cites Auto-Encoding Variational Bayes.

Ego-centric Learning of Communicative World Models for Autonomous Driving Auto-Encoding Variational Bayes

Reference 12

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Observation 2b043b30-1369-4b43-ba87-af8846c95ed9 · outbound

This paper cites Think2Drive: Efficient Reinforcement Learning by Thinking in Latent World Model for Quasi-Realistic Autonomous Driving (in CARLA-v2).

Ego-centric Learning of Communicative World Models for Autonomous Driving Think2Drive: Efficient Reinforcement Learning by Thinking in Latent World Model for Quasi-Realistic Autonomous Driving (in CARLA-v2)

Reference 13

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Observation f9e674f8-ae03-4629-b107-98b46ec008ec · outbound

This paper cites Efficient Multi-agent Reinforcement Learning by Planning.

Ego-centric Learning of Communicative World Models for Autonomous Driving Efficient Multi-agent Reinforcement Learning by Planning

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T05:27:42.351828Z

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Observation 8a64483b-e6ca-4d42-9e57-8fd409c9ef7b · outbound

This paper cites Bevfusion: Multi-task multi-sensor fusion with unified bird’s-eye view representation.

Ego-centric Learning of Communicative World Models for Autonomous Driving Bevfusion: Multi-task multi-sensor fusion with unified bird’s-eye view representation

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:43.007650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 090bb2d2-8a78-4098-a48b-78150a2781a3 · outbound

This paper cites Trajectory planning for autonomous vehicles using hierarchical reinforcement learning.

Ego-centric Learning of Communicative World Models for Autonomous Driving Trajectory planning for autonomous vehicles using hierarchical reinforcement learning

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:42.994466Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b60b2404-00ac-40b1-b2f0-9e23b2a5a72e · outbound

This paper cites Scalable multi-agent reinforcement learning for networked systems with average reward.

Ego-centric Learning of Communicative World Models for Autonomous Driving Scalable multi-agent reinforcement learning for networked systems with average reward

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:42.980737Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 192592f0-6623-4d2b-9d2c-07f79208d854 · outbound

This paper cites Car2x-based perception in a high-level fusion architecture for cooperative perception systems.

Ego-centric Learning of Communicative World Models for Autonomous Driving Car2x-based perception in a high-level fusion architecture for cooperative perception systems

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:42.966831Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation cbf56137-3d0c-420a-9de9-c808b3ea71b5 · outbound

This paper cites Benchmarking Model-Based Reinforcement Learning.

Ego-centric Learning of Communicative World Models for Autonomous Driving Benchmarking Model-Based Reinforcement Learning

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T05:27:42.380108Z

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Observation 425358e9-156b-4134-a29b-08cde05a659a · outbound

This paper cites Leveraging world model disentanglement in value-based multi-agent reinforcement learning.

Ego-centric Learning of Communicative World Models for Autonomous Driving Leveraging world model disentanglement in value-based multi-agent reinforcement learning

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T05:27:42.385251Z

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Observation 92410a65-a7cb-4089-bc99-77beebe6ff3a · outbound

This paper cites Statistical machine learning in model predictive control of nonlinear processes.

Ego-centric Learning of Communicative World Models for Autonomous Driving Statistical machine learning in model predictive control of nonlinear processes

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:42.953380Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7cf94762-5dcd-43ea-b174-e0f7a9998755 · outbound

This paper cites Game-Theoretic Multiagent Reinforcement Learning.

Ego-centric Learning of Communicative World Models for Autonomous Driving Game-Theoretic Multiagent Reinforcement Learning

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T05:27:42.394220Z

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Observation b6aca387-30be-4020-ba9a-e5d70699e37a · outbound

This paper cites COMBO: Compositional World Models for Embodied Multi-Agent Cooperation.

Ego-centric Learning of Communicative World Models for Autonomous Driving COMBO: Compositional World Models for Embodied Multi-Agent Cooperation

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T05:27:42.399097Z

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Observation c8647893-fbb8-4c88-9dc1-9f2d0cdcd987 · outbound

This paper cites Model-based Multi-agent Policy Optimization with Adaptive Opponent-wise Rollouts.

Ego-centric Learning of Communicative World Models for Autonomous Driving Model-based Multi-agent Policy Optimization with Adaptive Opponent-wise Rollouts

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T05:27:42.403494Z

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Observation b7f6cf23-3d09-4eea-ac69-dd07f3f8e23c · outbound

This paper cites Chen et al.

Ego-centric Learning of Communicative World Models for Autonomous Driving Chen et al

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:42.926129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 93c19c4f-fbd3-4d2a-91cc-ce9b83de26c8 · outbound

This paper cites • ¯zt+k: the prediction generated by RNN if the Locally Sufficient Information (LSI) is employed as input.

Ego-centric Learning of Communicative World Models for Autonomous Driving • ¯zt+k: the prediction generated by RNN if the Locally Sufficient Information (LSI) is employed as input

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:42.911709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 99dffc48-7a61-4ff6-94ed-4b7f18b65095 · outbound

This paper cites L−1X l=0 γlr(st+l, at+l, a′ t+l) + γLQt−1(st+L, at+L, a′ t+L) # − Ea∼π.

Ego-centric Learning of Communicative World Models for Autonomous Driving L−1X l=0 γlr(st+l, at+l, a′ t+l) + γLQt−1(st+L, at+L, a′ t+L) # − Ea∼π

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:42.897094Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7022376e-307c-4f9e-92a4-98de59f008d5 · outbound

This paper cites an unresolved cited work.

Ego-centric Learning of Communicative World Models for Autonomous Driving Unresolved cited work

Reference 34

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:27:42.821992Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 49d798db-1df2-4b38-a192-1d18c4d854b4 · outbound

This paper cites an unresolved cited work.

Ego-centric Learning of Communicative World Models for Autonomous Driving Unresolved cited work

Reference 35

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:27:42.808020Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4bf25575-178b-4d53-9843-f0fcd0c6d37a · outbound

This paper cites The dynamics of reinforcement learning in cooperative multiagent systems.

Ego-centric Learning of Communicative World Models for Autonomous Driving The dynamics of reinforcement learning in cooperative multiagent systems

Reference 1991

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:43.021520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6e5443c4-d6eb-4464-925e-856ca8e0bb24 · outbound

This paper cites A R ELATED WORK Model-based MARL.

Ego-centric Learning of Communicative World Models for Autonomous Driving A R ELATED WORK Model-based MARL

Reference 2007

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:42.940017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7cf56b39-9c9b-4e02-9f09-3a0db625f727 · outbound

This paper cites Independent Learning in Stochastic Games.

Ego-centric Learning of Communicative World Models for Autonomous Driving Independent Learning in Stochastic Games

Reference 2008

Resolution: unresolved; no resolver link, observed 2026-08-07T05:27:42.366330Z

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Observation cc8230f2-a2e1-424a-b004-9d4ea9a10a05 · outbound

This paper cites Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?.

Ego-centric Learning of Communicative World Models for Autonomous Driving Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Reference 2009

Resolution: unresolved; no resolver link, observed 2026-08-07T05:27:42.322530Z

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Unavailable: canonical work link unavailable.

Observation cbe75793-b654-4310-8edf-329d09554f2d · outbound

This paper cites World Models.

Ego-centric Learning of Communicative World Models for Autonomous Driving World Models

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-07T05:27:42.327436Z

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Observation 62ab6c11-700d-45d1-af5d-368112e29621 · outbound

This paper cites DeepMind Lab.

Ego-centric Learning of Communicative World Models for Autonomous Driving DeepMind Lab

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-07T05:27:42.299064Z

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Observation e1447e90-3857-4337-b1d0-38025a1dba9f · outbound

This paper cites Mastering Atari with Discrete World Models.

Ego-centric Learning of Communicative World Models for Autonomous Driving Mastering Atari with Discrete World Models

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-07T05:27:42.332120Z

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Observation fbd843cd-f849-4f81-8232-530cd96838c5 · outbound

This paper cites ChauffeurNet: Learning to Drive by Imitating the Best and Synthesizing the Worst.

Ego-centric Learning of Communicative World Models for Autonomous Driving ChauffeurNet: Learning to Drive by Imitating the Best and Synthesizing the Worst

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-07T05:27:42.293624Z

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Observation dda29755-7e15-401e-9a48-198f680542ef · outbound

This paper cites End-to-end Autonomous Driving: Challenges and Frontiers.

Ego-centric Learning of Communicative World Models for Autonomous Driving End-to-end Autonomous Driving: Challenges and Frontiers

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-07T05:27:42.308408Z

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Unavailable: canonical work link unavailable.

Observation 67378425-818e-4a13-9001-627de2901a38 · outbound

This paper cites Cooper: Cooperative perception for connected autonomous vehicles based on 3d point clouds.

Ego-centric Learning of Communicative World Models for Autonomous Driving Cooper: Cooperative perception for connected autonomous vehicles based on 3d point clouds

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:43.035865Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

Observation 38edc3df-b89a-44bf-b657-695124a0be6c · inbound

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective cites this paper.

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective Ego-centric Learning of Communicative World Models for Autonomous Driving

Reference 154

Resolution: verified exact; local_arxiv, observed 2026-08-06T17:57:08.972558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bb22ac97-3db9-4297-a6cf-278f63e0db2e · inbound

A Comprehensive Survey on World Models for Embodied AI cites this paper.

A Comprehensive Survey on World Models for Embodied AI Ego-centric Learning of Communicative World Models for Autonomous Driving

Reference 123

Resolution: unresolved; no resolver link, observed 2026-08-04T09:12:43.953225Z

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