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Paper Citation Record · LEDGER

DriveDreamer-2: LLM-Enhanced World Models for Diverse Driving Video Generation

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 21 inbound Pith citation observations for arXiv:2403.06845.

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

pith.paper-citation-record.v1
2403.06845 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 21 of 21 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:24:03.811275Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T09:55:40.661053Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 8447c8ae-9561-4bdc-a302-f219b7d847f7 · inbound

Cosmos World Foundation Model Platform for Physical AI cites this paper.

Cosmos World Foundation Model Platform for Physical AI DriveDreamer-2: LLM-Enhanced World Models for Diverse Driving Video Generation

Reference 247

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arxiv_id, observed 2026-05-10T23:38:46.161687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T23:38:44.933410Z digest=sha256:15814eae392ff3384d73c4bdd3ea03b38dce5918ff6ba1422cfc46b2ee754abf

Observation 403ae045-724a-4b48-a3f5-e0c4f29fd611 · inbound

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

Generative AI for Autonomous Driving: A Review DriveDreamer-2: LLM-Enhanced World Models for Diverse Driving Video Generation

Reference 56

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no resolver link, observed 2026-08-07T15:24:03.811275Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:24:03.811275Z digest=sha256:f787c76be57fb661f5c46545b7b9d199f632f846e1c99f98e04d67c7aaf2691f

Observation aa9e811a-4167-4e63-bf76-854c28c44425 · inbound

Challenger: Affordable Adversarial Driving Video Generation cites this paper.

Challenger: Affordable Adversarial Driving Video Generation DriveDreamer-2: LLM-Enhanced World Models for Diverse Driving Video Generation

Reference 36

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no resolver link, observed 2026-08-07T15:16:05.465177Z

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source=pdf_text observed=2026-08-07T15:16:05.465177Z digest=sha256:f3f383f8893b5dbc8462110455d24b8c5de67e26151c5e1ec3dc8989648473ac

Observation a2b76419-530c-4dbf-9aad-08a1a6726ab5 · inbound

ProphetDWM: A Driving World Model for Rolling Out Future Actions and Videos cites this paper.

ProphetDWM: A Driving World Model for Rolling Out Future Actions and Videos DriveDreamer-2: LLM-Enhanced World Models for Diverse Driving Video Generation

Reference 43

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no resolver link, observed 2026-08-07T14:31:32.112739Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:31:32.112739Z digest=sha256:6ff4bfb51e5ad89caf9f8f694ab344105af2cb53fa0af0226a89139291fe3889

Observation c169dc51-180e-470a-aa21-97828b08e231 · inbound

GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control cites this paper.

GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control DriveDreamer-2: LLM-Enhanced World Models for Diverse Driving Video Generation

Reference 86

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no resolver link, observed 2026-08-07T13:13:49.159653Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:13:49.159653Z digest=sha256:aa649ed865bf950d996885911fb7dad67fdf016fd8dfd35bac50a70808c0b22f

Observation 53682111-fd70-4a2e-ac34-14939f4ea411 · inbound

ReSim: Reliable World Simulation for Autonomous Driving cites this paper.

ReSim: Reliable World Simulation for Autonomous Driving DriveDreamer-2: LLM-Enhanced World Models for Diverse Driving Video Generation

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-19T09:32:16.727850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-19T09:28:00.597160Z digest=sha256:11adb532d60446bc5c5257e9ba18ce0ec98165dbe626985c0586cf12f4e0328a

Observation 3c2054df-3e38-4551-955c-ccfd7b11af14 · inbound

SceneCrafter: Controllable Multi-View Driving Scene Editing cites this paper.

SceneCrafter: Controllable Multi-View Driving Scene Editing DriveDreamer-2: LLM-Enhanced World Models for Diverse Driving Video Generation

Reference 59

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no resolver link, observed 2026-08-06T23:10:57.619090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:10:57.619090Z digest=sha256:beb013370cb5182cc9aada9c90acde91a9e152cd266d62f5db6ba6653376aa88

Observation 0bc0c051-1d99-4300-ab2a-727650e703ce · inbound

WonderFree: Enhancing Novel View Quality and Cross-View Consistency for 3D Scene Exploration cites this paper.

WonderFree: Enhancing Novel View Quality and Cross-View Consistency for 3D Scene Exploration DriveDreamer-2: LLM-Enhanced World Models for Diverse Driving Video Generation

Reference 23

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no resolver link, observed 2026-08-06T22:50:28.453974Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:50:28.453974Z digest=sha256:f262631e64f914f8376494283cdda02cce3183383e552f44a7e1c7b9d5a1cbb7

Observation 36b5becb-0b33-49fc-acc1-b7f78f4ee496 · inbound

World4Drive: End-to-End Autonomous Driving via Intention-aware Physical Latent World Model cites this paper.

World4Drive: End-to-End Autonomous Driving via Intention-aware Physical Latent World Model DriveDreamer-2: LLM-Enhanced World Models for Diverse Driving Video Generation

Reference 45

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no resolver link, observed 2026-08-06T21:19:31.953866Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:19:31.953866Z digest=sha256:b7ba0097062bcb657b39915835fe1177f45370c12ad97d5cba586424ea0a82ae

Observation c46c6f49-6e33-4b5c-86c4-8484eba1f7f1 · inbound

$I^{2}$-World: Intra-Inter Tokenization for Efficient Dynamic 4D Scene Forecasting cites this paper.

$I^{2}$-World: Intra-Inter Tokenization for Efficient Dynamic 4D Scene Forecasting DriveDreamer-2: LLM-Enhanced World Models for Diverse Driving Video Generation

Reference 57

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no resolver link, observed 2026-08-06T18:08:54.392162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:08:54.392162Z digest=sha256:86813310818dedb3817e45fe56ab098966e81a7a0d8fd29d8d05914afdfed9dd

Observation 8217befd-0626-4cf0-846c-8e4001ffc59a · inbound

Non-invasive Assessment of Pancreatic Duct Hypertension Using Computational Flow Modeling cites this paper.

Non-invasive Assessment of Pancreatic Duct Hypertension Using Computational Flow Modeling DriveDreamer-2: LLM-Enhanced World Models for Diverse Driving Video Generation

Reference 67

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no resolver link, observed 2026-08-05T18:05:49.765813Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:05:49.765813Z digest=sha256:32b6aefe513507b33959b93007c5816f34df70c39f13718fa92fd72af9424ed8

Observation bd629798-cded-4631-943a-caed34b7455e · inbound

Seeing Clearly, Forgetting Deeply: Revisiting Fine-Tuned Video Generators for Driving Simulation cites this paper.

Seeing Clearly, Forgetting Deeply: Revisiting Fine-Tuned Video Generators for Driving Simulation DriveDreamer-2: LLM-Enhanced World Models for Diverse Driving Video Generation

Reference 89

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no resolver link, observed 2026-08-05T17:19:21.728429Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T17:19:21.728429Z digest=sha256:8e5951beb57322e719955c431f1fc1f92f48699a1230bc52296422a2955892a3

Observation 6eadc52c-e9ad-4945-9c71-f6e2e3c7f6fd · inbound

2nd Place Solution for CVPR2024 E2E Challenge: End-to-End Autonomous Driving Using Vision Language Model cites this paper.

2nd Place Solution for CVPR2024 E2E Challenge: End-to-End Autonomous Driving Using Vision Language Model DriveDreamer-2: LLM-Enhanced World Models for Diverse Driving Video Generation

Reference 26

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no resolver link, observed 2026-08-05T11:32:33.879692Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:32:33.879692Z digest=sha256:e1f3094f974c79debdef3772997aee460703420391716f85f5b377b35e586517

Observation 296d6262-3b4a-420f-8e15-971c54da243d · inbound

OmniNWM: Omniscient Driving Navigation World Models cites this paper.

OmniNWM: Omniscient Driving Navigation World Models DriveDreamer-2: LLM-Enhanced World Models for Diverse Driving Video Generation

Reference 108

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no resolver link, observed 2026-08-04T08:57:18.388577Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T08:57:18.388577Z digest=sha256:77823e94427a66e5b639d0a990b798a814da6d34777d91002b0a6cf165874bdb

Observation e1726f2c-5450-40df-8150-ce957bad3d72 · inbound

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

Scaling Up Occupancy-centric Driving Scene Generation: Dataset and Method DriveDreamer-2: LLM-Enhanced World Models for Diverse Driving Video Generation

Reference 32

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no resolver link, observed 2026-08-04T08:07:39.274825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T08:07:39.274825Z digest=sha256:a18b17fcaaca3068db97fd4e27a68f28bd34cb3a3f5e121894de4cb0fd72868e

Observation 4392a5e7-bb0f-4f40-9743-def22138801c · inbound

Driver-WM: A Driver-Centric Traffic-Conditioned Latent World Model for In-Cabin Dynamics Rollout cites this paper.

Driver-WM: A Driver-Centric Traffic-Conditioned Latent World Model for In-Cabin Dynamics Rollout DriveDreamer-2: LLM-Enhanced World Models for Diverse Driving Video Generation

Reference 37

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verified exact
arxiv_id, observed 2026-05-11T17:56:07.314602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-08T16:54:09.443441Z digest=sha256:9394389ec6c4f7442efd478f1ef2e76e2b9227fe812404035efdb6e1ba2430ce

Observation adc50b12-301b-4921-b601-3568c1afea29 · inbound

Driver-WM: A Driver-Centric Traffic-Conditioned Latent World Model for In-Cabin Dynamics Rollout cites this paper.

Driver-WM: A Driver-Centric Traffic-Conditioned Latent World Model for In-Cabin Dynamics Rollout DriveDreamer-2: LLM-Enhanced World Models for Diverse Driving Video Generation

Reference 37

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arxiv_id, observed 2026-06-30T23:35:07.245636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-30T23:32:26.391124Z digest=sha256:3831e180c8b46a130efc9b24b3cc7db7609e5ba510d1092adab05433ffeb1cec

Observation 08fe4619-3618-490d-b36b-bbb4c22e6d66 · inbound

Steins;Gate Drive: Semantic Safety Arbitration over Structured Futures for Latency-Decoupled LLM Planning cites this paper.

Steins;Gate Drive: Semantic Safety Arbitration over Structured Futures for Latency-Decoupled LLM Planning DriveDreamer-2: LLM-Enhanced World Models for Diverse Driving Video Generation

Reference 16

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arxiv_id, observed 2026-05-22T05:41:08.343724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-22T05:39:56.299842Z digest=sha256:53df29a733a490fa2ed89b6d5fb83514c0b946d9e54496213a994742be6ca08b

Observation 9bda9091-ffa1-4173-a77c-8f08bbed1627 · 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 DriveDreamer-2: LLM-Enhanced World Models for Diverse Driving Video Generation

Reference 64

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arxiv_id, observed 2026-06-29T22:04:00.861438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-29T21:15:12.465970Z digest=sha256:e497ddcd0f1fb453c4a031b4bb9b87257b0f35662153c51e47ef172fe6738a6d

Observation 6f0e543d-c04e-43f9-9968-1af2dd2ef6d0 · inbound

InfiniVerse: Occupancy Guided Unbounded Scene Generation for Autonomous Driving cites this paper.

InfiniVerse: Occupancy Guided Unbounded Scene Generation for Autonomous Driving DriveDreamer-2: LLM-Enhanced World Models for Diverse Driving Video Generation

Reference 55

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arxiv_id, observed 2026-07-01T09:55:40.662667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-01T06:05:17.158363Z digest=sha256:38b69ed324ff18f73f7e6210d59015c0c3744e0fbc1b6c52d124122c3f5b7f3e

Observation 6a268a48-558b-4523-a1af-f22afa8385cf · inbound

Instant NuRec: Feed-Forward 3D Gaussian Reconstruction for Driving Scene Simulation cites this paper.

Instant NuRec: Feed-Forward 3D Gaussian Reconstruction for Driving Scene Simulation DriveDreamer-2: LLM-Enhanced World Models for Diverse Driving Video Generation

Reference 48

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no resolver link, observed 2026-08-02T02:55:45.750384Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T02:55:45.750384Z digest=sha256:f0a04b608461331a29d64516230663c9ead27525eac17603252ebf507a3a3361