Paper Citation Record · LEDGER

OccWorld: Learning a 3D Occupancy World Model for Autonomous Driving

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2311.16038.

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

pith.paper-citation-record.v1
2311.16038 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T15:33:48.501305Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T14:08:22.635176Z

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 0882027d-08c5-4f88-81f1-0fc121ea77a8 · inbound

Enhancing End-to-End Autonomous Driving with Latent World Model cites this paper.

Enhancing End-to-End Autonomous Driving with Latent World Model OccWorld: Learning a 3D Occupancy World Model for Autonomous Driving

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-17T07:38:51.991555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d5c319aa-0bf7-4f54-936a-fae92a446448 · inbound

Occ-LLM: Enhancing Autonomous Driving with Occupancy-Based Large Language Models cites this paper.

Occ-LLM: Enhancing Autonomous Driving with Occupancy-Based Large Language Models OccWorld: Learning a 3D Occupancy World Model for Autonomous Driving

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-08T15:33:48.501305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 201df00b-e06b-4070-8860-a2f6dee2fa7f · inbound

S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Modelwith Spatio-Temporal Visual Representation cites this paper.

S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Modelwith Spatio-Temporal Visual Representation OccWorld: Learning a 3D Occupancy World Model for Autonomous Driving

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-07T12:38:47.398500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1a9d48a-1567-43f8-bc3e-4433f5207457 · inbound

OmniNWM: Omniscient Driving Navigation World Models cites this paper.

OmniNWM: Omniscient Driving Navigation World Models OccWorld: Learning a 3D Occupancy World Model for Autonomous Driving

Reference 111

Resolution: unresolved; no resolver link, observed 2026-08-04T08:57:18.842542Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b7ecc984-67f8-49d9-b158-7c845372e6b9 · inbound

Scaling Up Occupancy-centric Driving Scene Generation: Dataset and Method cites this paper.

Scaling Up Occupancy-centric Driving Scene Generation: Dataset and Method OccWorld: Learning a 3D Occupancy World Model for Autonomous Driving

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-04T08:07:41.010538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae95c2de-5663-4b65-ad27-e4f78af39a52 · inbound

Human Cognition in Machines: A Unified Perspective of World Models cites this paper.

Human Cognition in Machines: A Unified Perspective of World Models OccWorld: Learning a 3D Occupancy World Model for Autonomous Driving

Reference 230

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T08:12:26.037445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3fc475f3-51f3-4751-914c-da504fb1855a · inbound

AnyScene: Towards Highly Controllable Driving Scene Generation at Anywhere and Beyond cites this paper.

AnyScene: Towards Highly Controllable Driving Scene Generation at Anywhere and Beyond OccWorld: Learning a 3D Occupancy World Model for Autonomous Driving

Reference 65

Resolution: verified exact; arxiv_id, observed 2026-06-29T22:04:00.865488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 326e98f8-3adc-4c44-9a8f-0a6a2fb50e68 · inbound

World Models: A Comprehensive Survey of Architectures, Methodologies, Reasoning Paradigms, and Applications cites this paper.

World Models: A Comprehensive Survey of Architectures, Methodologies, Reasoning Paradigms, and Applications OccWorld: Learning a 3D Occupancy World Model for Autonomous Driving

Reference 82

Resolution: verified exact; arxiv_id, observed 2026-06-29T08:43:15.599124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation bea48843-1b3b-404b-ba25-af6fa9dde664 · inbound

VISA: VLM-Guided Instance Semantic Auditing for 3D Occupancy World Models cites this paper.

VISA: VLM-Guided Instance Semantic Auditing for 3D Occupancy World Models OccWorld: Learning a 3D Occupancy World Model for Autonomous Driving

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-07-03T14:08:22.636749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e0848c01-fc6c-4cfc-b811-66bab2e4cfcc · inbound

VISA: VLM-Guided Instance Semantic Auditing for 3D Occupancy World Models cites this paper.

VISA: VLM-Guided Instance Semantic Auditing for 3D Occupancy World Models OccWorld: Learning a 3D Occupancy World Model for Autonomous Driving

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-15T10:49:28.959330Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 30ad1175-38a8-4d7f-8872-5664174bfe73 · 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 OccWorld: Learning a 3D Occupancy World Model for Autonomous Driving

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-03T15:03:43.140356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02960336-0fa5-4cf4-9a2a-f4243015bf39 · inbound

Quo Vadis, World Modeling? cites this paper.

Quo Vadis, World Modeling? OccWorld: Learning a 3D Occupancy World Model for Autonomous Driving

Reference 228

Resolution: unresolved; no resolver link, observed 2026-08-07T00:14:17.754290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.