Pith. sign in

Paper Citation Record · LEDGER

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

As of 9 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 2026-08-09T06:31:02.800959+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

  • 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 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

Resolution
verified exact
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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T23:38:44.933410Z digest=sha256:7aed40ba8e4fcafd239837e3932b6d784c169a2599b05bdd42d51f853039cd3c

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

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

Source-reported events for the cited work

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:16:05.465177Z digest=sha256:ca4dba195a978e643528d8f81a7fdf30e3b4109e542b7a13290177c0302e8520

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

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

Source-reported events for the cited work

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:13:49.159653Z digest=sha256:80a53e2e8cc14f023c339351a3319e073fd2a2ebc04dc41126e508de295bb138

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-19T09:28:00.597160Z digest=sha256:0638a84fcd1abbf37fdd17eed29fa060279524fabd4fa9be5b3c7ee9b07c09f4

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

Resolution
unresolved
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=sha256:98326db0bd15154d633e3489c1f7b41141e5826aa02c6d73a3775e57e96f127d

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:50:28.453974Z digest=sha256:f9713083574fa5e3ec5f7c479302f0ee93feacf8c4d315521823c6e170c3b129

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

Resolution
unresolved
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:ddadef0b1e94139e2569635eb14bf25055c3a3b8ab19150e08e1cf2389ba47ce

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

Resolution
unresolved
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=sha256:4d6b621c070b7b180870734d6b083b341faf0a6ac390d692305532d9d3c58d94

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

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

Source-reported events for the cited work

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

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

Source-reported events for the cited work

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

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

Source-reported events for the cited work

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

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

Source-reported events for the cited work

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

Resolution
unresolved
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=sha256:76623d8f852612b155f99a6b47e991aba6784619a6fdddf2b438bcad039ce464

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

Resolution
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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-08T16:54:09.443441Z digest=sha256:1cf7d18d853a382c526fc005a32df0cd758c7af8ac1e6d887b9682ad10788af5

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

Resolution
verified exact
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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-30T23:32:26.391124Z digest=sha256:635e74407f2f4709c22e0e1107129ffbdc2c6a382e762c637003e4c3c19305bf

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

Resolution
verified exact
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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-22T05:39:56.299842Z digest=sha256:2765e653c75c7f4d474870e775df5588e19cd75122609202a9e17b527d85fa07

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

Resolution
verified exact
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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-29T21:15:12.465970Z digest=sha256:1722c69ffbe4c6f2187460cc56201df33ce39b49e8b7ca65a27fe98dc603151c

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

Resolution
verified exact
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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-01T06:05:17.158363Z digest=sha256:25c6ed416fadfe7fff1ef7a98e8e0e37c189c961d1b42a9d8f2d5a78fcd38b20

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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