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Paper Citation Record · LEDGER

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

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2402.16720.

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

pith.paper-citation-record.v1
2402.16720 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:27:41.411759Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T03:49:30.680936Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation b91524d8-e30d-4b4b-b8bf-2de8eda62a82 · inbound

iPad: Iterative Proposal-centric End-to-End Autonomous Driving cites this paper.

iPad: Iterative Proposal-centric End-to-End Autonomous Driving Think2Drive: Efficient Reinforcement Learning by Thinking in Latent World Model for Quasi-Realistic Autonomous Driving (in CARLA-v2)

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-07T15:27:41.411759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:27:41.411759Z digest=sha256:acd8443a8a61716c5f57e4c80b8acb4ae537c98ccc4f6b3d69cc4fba5f14b0d4

Observation a9468dc4-4d6f-4a49-91ca-4c6142e34802 · inbound

Generative AI for Autonomous Driving: A Review cites this paper.

Generative AI for Autonomous Driving: A Review Think2Drive: Efficient Reinforcement Learning by Thinking in Latent World Model for Quasi-Realistic Autonomous Driving (in CARLA-v2)

Reference 155

Resolution
unresolved
no resolver link, observed 2026-08-07T15:24:06.809924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:24:06.809924Z digest=sha256:b8a49f2e7c4da10975067e9b89a99f099f6709a14b6ae5a54eb00c8e5387f005

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

Ego-centric Learning of Communicative World Models for Autonomous Driving cites this paper.

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

Resolution
unresolved
no resolver link, observed 2026-08-07T05:27:42.347160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:27:42.347160Z digest=sha256:eb338ac6d76bf0f56ab092691fefaecacfa9c0258185b329daec1e99fc26777d

Observation f0e2b188-1fa3-4c79-a097-a009793e92b7 · inbound

A Comprehensive Review of Reinforcement Learning for Autonomous Driving in the CARLA Simulator cites this paper.

A Comprehensive Review of Reinforcement Learning for Autonomous Driving in the CARLA Simulator Think2Drive: Efficient Reinforcement Learning by Thinking in Latent World Model for Quasi-Realistic Autonomous Driving (in CARLA-v2)

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-04T21:03:00.842872Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T21:03:00.842872Z digest=sha256:39eea6a43fdb30d96b9db78426a65616505ee6e2ceef61040bb45ca5241509b3

Observation c7838782-f68e-4810-884e-982eae3bb0ce · inbound

MTA-RL: Robust Urban Driving via Multi-modal Transformer-based 3D Affordances and Reinforcement Learning cites this paper.

MTA-RL: Robust Urban Driving via Multi-modal Transformer-based 3D Affordances and Reinforcement Learning Think2Drive: Efficient Reinforcement Learning by Thinking in Latent World Model for Quasi-Realistic Autonomous Driving (in CARLA-v2)

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-05-12T07:16:30.741056Z

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.

source=pdf_text observed=2026-05-12T03:29:43.919945Z digest=sha256:615d656a95456d6104e9fdd31d009e06bda6e69347f1e5ecf5c3c3e50935c034

Observation cf4e55b5-1955-49b3-a324-7be45d94c27c · inbound

Mind the Privileged-to-Camera Gap: Actor-Centric Sidecar Supervision for Camera-First Open-Loop Waypoint Prediction cites this paper.

Mind the Privileged-to-Camera Gap: Actor-Centric Sidecar Supervision for Camera-First Open-Loop Waypoint Prediction Think2Drive: Efficient Reinforcement Learning by Thinking in Latent World Model for Quasi-Realistic Autonomous Driving (in CARLA-v2)

Reference 10

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T03:49:30.683804Z

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.

source=arxiv_source observed=2026-06-26T17:35:43.886454Z digest=sha256:14a06caaa3839b3f7cd3112e31fe91600d0db015a1fdd46f98bfe235f60f3782