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Paper Citation Record · LEDGER

Doe-1: Closed-Loop Autonomous Driving with Large World Model

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 19 inbound Pith citation observations for arXiv:2412.09627.

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

pith.paper-citation-record.v1
2412.09627 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 19 of 19 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 19 of 19 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T18:25:51.371435Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T17:43:45.730253Z

Reference resolution

0 of 0 outbound references displayed

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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 bfc190d8-64a9-4be6-8e64-3c24f29e2878 · inbound

FutureSightDrive: Thinking Visually with Spatio-Temporal CoT for Autonomous Driving cites this paper.

FutureSightDrive: Thinking Visually with Spatio-Temporal CoT for Autonomous Driving Doe-1: Closed-Loop Autonomous Driving with Large World Model

Reference 95

Resolution
verified exact
arxiv_id, observed 2026-05-15T19:19:42.920738Z

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=2026-05-15T19:19:42.748573Z digest=sha256:44eda851614c2d913e3fec814d34dcaef8a53fe37a1682563be7605f8af4504f

Observation 904c150a-8765-4f0e-a023-674d4a876fa3 · 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 Doe-1: Closed-Loop Autonomous Driving with Large World Model

Reference 89

Resolution
unresolved
no resolver link, observed 2026-08-07T13:13:49.436064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:13:49.436064Z digest=sha256:c5fe8b1d301c8f3f3fe73d72626f350d6a0b28fde9c9df07a552930ac11eac39

Observation 3a925439-815a-4d93-b68e-de76a092771b · inbound

LongDWM: Cross-Granularity Distillation for Building a Long-Term Driving World Model cites this paper.

LongDWM: Cross-Granularity Distillation for Building a Long-Term Driving World Model Doe-1: Closed-Loop Autonomous Driving with Large World Model

Reference 33

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no resolver link, observed 2026-08-07T11:47:00.200689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:47:00.200689Z digest=sha256:f889b630a608559e5d7c28805c3b570b6796bdbb05b930b92a7314f414600d5e

Observation 0c025d56-caaf-488c-8a4b-a9c382724fa6 · inbound

STSBench: A Spatio-temporal Scenario Benchmark for Multi-modal Large Language Models in Autonomous Driving cites this paper.

STSBench: A Spatio-temporal Scenario Benchmark for Multi-modal Large Language Models in Autonomous Driving Doe-1: Closed-Loop Autonomous Driving with Large World Model

Reference 73

Resolution
unresolved
no resolver link, observed 2026-08-07T06:02:13.171979Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:02:13.171979Z digest=sha256:cdc8333fe39bb7ae5acdf4ff1af95775534cb177ed72a07f4ca6cfa61b3eb1a6

Observation 60a3305f-4606-4642-bd04-1423c6ba62f9 · inbound

Epona: Autoregressive Diffusion World Model for Autonomous Driving cites this paper.

Epona: Autoregressive Diffusion World Model for Autonomous Driving Doe-1: Closed-Loop Autonomous Driving with Large World Model

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-06T21:29:51.874454Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:29:51.874454Z digest=sha256:2411c04d140503a5f25f534ef0ffeaed29c0c5cea09736d83f0a0e02b61bb587

Observation 3c6c4c36-a651-45f1-964a-ecba3a37782f · inbound

DriveVLA-W0: World Models Amplify Data Scaling Law in Autonomous Driving cites this paper.

DriveVLA-W0: World Models Amplify Data Scaling Law in Autonomous Driving Doe-1: Closed-Loop Autonomous Driving with Large World Model

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-17T06:48:00.966970Z

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=2026-05-17T06:48:00.943591Z digest=sha256:0e2bd733e75243c800a75c2081012b94622c9bffd27ba2d452e25e1da1ec17ae

Observation c3c20ab0-1f1b-4e5b-9048-de70b21cbb2c · inbound

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

A Comprehensive Survey on World Models for Embodied AI Doe-1: Closed-Loop Autonomous Driving with Large World Model

Reference 134

Resolution
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no resolver link, observed 2026-08-04T09:12:45.475807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T09:12:45.475807Z digest=sha256:8f7e90e0055f985b01f9ef8c78a855e3079c65a9d0c13b9549bc5de8c86691dc

Observation 524b0aa7-2ba5-4473-9bff-f231047b8d05 · inbound

OmniNWM: Omniscient Driving Navigation World Models cites this paper.

OmniNWM: Omniscient Driving Navigation World Models Doe-1: Closed-Loop Autonomous Driving with Large World Model

Reference 113

Resolution
unresolved
no resolver link, observed 2026-08-04T08:57:19.127343Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T08:57:19.127343Z digest=sha256:2851dcf29ba6c795e131d3e8677f57d84262c267f7ebfe2d0a973ce6d6176ee2

Observation fd4d20ef-cc0f-43e6-a39d-39fd07166d4a · inbound

UniDrive-WM: Unified Understanding, Planning and Generation World Model for Autonomous Driving cites this paper.

UniDrive-WM: Unified Understanding, Planning and Generation World Model for Autonomous Driving Doe-1: Closed-Loop Autonomous Driving with Large World Model

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-03T12:06:29.137538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:06:29.137538Z digest=sha256:f88cbe3dc2d67c7be3291ff1c5c7934f033325cc5e015fe4a314ba65f07a0c11

Observation fd523eb0-a794-429e-a081-5c37b5d957f5 · inbound

DVGT-2: Vision-Geometry-Action Model for Autonomous Driving at Scale cites this paper.

DVGT-2: Vision-Geometry-Action Model for Autonomous Driving at Scale Doe-1: Closed-Loop Autonomous Driving with Large World Model

Reference 88

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T23:03:25.008946Z

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=2026-05-13T22:59:57.744015Z digest=sha256:404d4541689bb4593821fa8ff71abeba0ea37461cd88fd86988ebe253a7cb105

Observation 1effb830-ab05-4fa1-91eb-506286cc56af · inbound

Learning Vision-Language-Action World Models for Autonomous Driving cites this paper.

Learning Vision-Language-Action World Models for Autonomous Driving Doe-1: Closed-Loop Autonomous Driving with Large World Model

Reference 80

Resolution
verified exact
arxiv_id, observed 2026-05-11T07:31:00.827677Z

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=2026-05-10T17:08:10.442655Z digest=sha256:2c7805309ccf9f9317258d7b56a19650052f4404ce3dcb3a5e63c1230631f170

Observation 921d9580-62f7-44f0-918d-bf2446658850 · inbound

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

Human Cognition in Machines: A Unified Perspective of World Models Doe-1: Closed-Loop Autonomous Driving with Large World Model

Reference 229

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T08:12:26.103727Z

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=2026-05-10T08:12:15.663761Z digest=sha256:bdae06ab0467e1361c49d6eca5f64869a18841f5d62d9c9c2bf90a6825e135f8

Observation 4f152761-0cdd-4aca-8116-ceea3087654c · inbound

HERMES++: Toward a Unified Driving World Model for 3D Scene Understanding and Generation cites this paper.

HERMES++: Toward a Unified Driving World Model for 3D Scene Understanding and Generation Doe-1: Closed-Loop Autonomous Driving with Large World Model

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-12T10:36:30.092798Z

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=2026-05-07T05:31:59.676725Z digest=sha256:1de8f2336331b895acc4192878f3f1c3ccfecd3df11bd645b114985a219cba4f

Observation b3507bed-e305-4e73-ac77-261951a77147 · inbound

DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving cites this paper.

DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving Doe-1: Closed-Loop Autonomous Driving with Large World Model

Reference 133

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T06:31:26.290009Z

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=arxiv_source observed=2026-05-12T04:13:37.421188Z digest=sha256:a3a343a506f364f102cfdc825da8a9df8c046fd9f361905544fad1c38b444efe

Observation 01105808-55b1-4f14-b914-8b611f5cb43c · inbound

LVDrive: Latent Visual Representation Enhanced Vision-Language-Action Autonomous Driving Model cites this paper.

LVDrive: Latent Visual Representation Enhanced Vision-Language-Action Autonomous Driving Model Doe-1: Closed-Loop Autonomous Driving with Large World Model

Reference 63

Resolution
verified exact
arxiv_id, observed 2026-05-22T07:41:15.130437Z

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=2026-05-22T07:37:11.292270Z digest=sha256:f27cc75e5dc1a017e1daf1f316865523c38e1a34d8229e1ab641e334bf0d2d2e

Observation 0c2f2884-66aa-4b66-b55d-be0689f21510 · inbound

TPS-Drive: Task-Guided Representation Purification for VLM-based Autonomous Driving cites this paper.

TPS-Drive: Task-Guided Representation Purification for VLM-based Autonomous Driving Doe-1: Closed-Loop Autonomous Driving with Large World Model

Reference 76

Resolution
verified exact
arxiv_id, observed 2026-06-29T17:43:45.732453Z

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=2026-06-29T17:42:49.902997Z digest=sha256:1cf433857119d1f916e957316b8b6c8303da690bd3ef6d4a7c6aec1222ee124e

Observation 970279fa-9661-4d3d-81d5-12354fd65a5f · inbound

UNIVERSE: Unified Video Action Models for Autonomous Driving with Flexible Mask-Modulated Modality Generation cites this paper.

UNIVERSE: Unified Video Action Models for Autonomous Driving with Flexible Mask-Modulated Modality Generation Doe-1: Closed-Loop Autonomous Driving with Large World Model

Reference 46

Resolution
unresolved
no resolver link, observed 2026-07-11T08:19:04.131379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T08:19:04.131379Z digest=sha256:fac16fe975100c61a511d68fc0c5c0fee13945655f6598eb1004fe0372c848c1

Observation dd329218-274c-48e7-a7fe-63efbe1b1e5b · inbound

HyWorldVLA: A Vision-Language-Action Model with Hybrid World Modeling for Autonomous Driving cites this paper.

HyWorldVLA: A Vision-Language-Action Model with Hybrid World Modeling for Autonomous Driving Doe-1: Closed-Loop Autonomous Driving with Large World Model

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-01T08:49:49.882619Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T08:49:49.882619Z digest=sha256:67e9ce441fba7b6747986adf9b533cbd6029131d8fc8dba1da1f7721144f64d0

Observation 3c628402-0b23-4d33-a30e-39d63684f165 · inbound

Adaptive-WAM: Quality-Guided Early-Exit Planning from Intermediate Video-Diffusion Features cites this paper.

Adaptive-WAM: Quality-Guided Early-Exit Planning from Intermediate Video-Diffusion Features Doe-1: Closed-Loop Autonomous Driving with Large World Model

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T18:25:51.371435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T18:25:51.371435Z digest=sha256:9357ea69f4f7b9867ea0f7f37ad9ea36422d41e820dd6c23d6cacd6170cb80e3