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Paper Citation Record · LEDGER

SparseDrive: End-to-End Autonomous Driving via Sparse Scene Representation

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 41 inbound Pith citation observations for arXiv:2405.19620.

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

pith.paper-citation-record.v1
2405.19620 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 41 of 41 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:32:52.145916Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T16:58:42.635973Z

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 4edaf08d-d176-43f3-a16b-c244309e7ebe · inbound

LiDAR-based End-to-end Temporal Perception for Vehicle-Infrastructure Cooperation cites this paper.

LiDAR-based End-to-end Temporal Perception for Vehicle-Infrastructure Cooperation SparseDrive: End-to-End Autonomous Driving via Sparse Scene Representation

Reference 51

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source=pdf_text observed=2026-08-12T14:46:38.455914Z digest=sha256:8b95b64678bbea91d5e42990f7f15245b294ec5db137f821a5f300825756df59

Observation f17fd999-98a7-45ba-a214-50e022ab75af · inbound

DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving cites this paper.

DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving SparseDrive: End-to-End Autonomous Driving via Sparse Scene Representation

Reference 39

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source=pdf_text observed=2026-08-12T14:32:48.254215Z digest=sha256:ceab6ac95e7d7487027a7d79ce6a4d80b624aa4e731ec87df3fd59095e3c3b92

Observation fada47a3-c56b-4251-a09b-6637fdeee700 · inbound

Monocular Lane Detection Based on Deep Learning: A Survey cites this paper.

Monocular Lane Detection Based on Deep Learning: A Survey SparseDrive: End-to-End Autonomous Driving via Sparse Scene Representation

Reference 203

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source=pdf_text observed=2026-08-12T13:18:37.384286Z digest=sha256:b7895ba6186bfe44bee5eb5dddd0c1e6ae6745b691e34468866be16997a3b6a3

Observation 858a34aa-cf00-4f57-8a65-289121e5ec7b · inbound

Doe-1: Closed-Loop Autonomous Driving with Large World Model cites this paper.

Doe-1: Closed-Loop Autonomous Driving with Large World Model SparseDrive: End-to-End Autonomous Driving via Sparse Scene Representation

Reference 68

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source=pdf_text observed=2026-08-11T16:55:42.450288Z digest=sha256:56bcc099102c5397304ef14a44b9a42c5ce64afbf78f4cfcd9d7be97062b620d

Observation 44be76ab-196d-4017-ab00-48567ab3f959 · inbound

Bench2Drive-R: Turning Real World Data into Reactive Closed-Loop Autonomous Driving Benchmark by Generative Model cites this paper.

Bench2Drive-R: Turning Real World Data into Reactive Closed-Loop Autonomous Driving Benchmark by Generative Model SparseDrive: End-to-End Autonomous Driving via Sparse Scene Representation

Reference 79

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source=pdf_text observed=2026-08-11T18:16:00.651323Z digest=sha256:2685a5c682d8936d0b47d2e4df6f1dce97fde29c99298ac7938db680a25d565c

Observation a4400332-40d2-4494-8ef3-8c01199b3c86 · inbound

GaussianAD: Gaussian-Centric End-to-End Autonomous Driving cites this paper.

GaussianAD: Gaussian-Centric End-to-End Autonomous Driving SparseDrive: End-to-End Autonomous Driving via Sparse Scene Representation

Reference 48

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source=pdf_text observed=2026-08-11T16:00:36.063251Z digest=sha256:67778659a5bb1f40f59136a73846682b63be60f82a7d8fe520576139e2bb52e5

Observation 941501ff-2951-45be-a941-4a2ee9241504 · inbound

MapExpert: Online HD Map Construction with Simple and Efficient Sparse Map Element Expert cites this paper.

MapExpert: Online HD Map Construction with Simple and Efficient Sparse Map Element Expert SparseDrive: End-to-End Autonomous Driving via Sparse Scene Representation

Reference 33

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source=arxiv_source observed=2026-08-11T13:55:39.177193Z digest=sha256:ed539c8ee00d9e670c5bd5124cee5e7b78d3a03519ce0bcd20c4e080d163349b

Observation 4a440730-918c-45a7-9547-6f12bbf3103d · inbound

Fully Unified Motion Planning for End-to-End Autonomous Driving cites this paper.

Fully Unified Motion Planning for End-to-End Autonomous Driving SparseDrive: End-to-End Autonomous Driving via Sparse Scene Representation

Reference 2

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source=pdf_text observed=2026-08-16T12:32:52.145916Z digest=sha256:79c69f4d7f5171b49efe71160adfc2aee760acebfa4fc7d4bd4b30597d0bbdbe

Observation 39fe9840-62e3-440a-8fe6-1efc1d56b976 · inbound

SparseMeXT Unlocking the Potential of Sparse Representations for HD Map Construction cites this paper.

SparseMeXT Unlocking the Potential of Sparse Representations for HD Map Construction SparseDrive: End-to-End Autonomous Driving via Sparse Scene Representation

Reference 17

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source=pdf_text observed=2026-08-15T22:26:42.113117Z digest=sha256:a08078c575233df0c8f10b88148fb3f972e190045d3edface6b943f88eac729d

Observation 2f5b5f03-6eb3-4f7a-89d5-da1724dfee70 · inbound

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

iPad: Iterative Proposal-centric End-to-End Autonomous Driving SparseDrive: End-to-End Autonomous Driving via Sparse Scene Representation

Reference 36

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source=pdf_text observed=2026-08-07T15:27:42.275314Z digest=sha256:1d3df8f1713b8b324364aae0a3e954202150332d4492d2419dea482c2ef87b12

Observation 96ce7046-9467-40eb-98ad-5b97c32e85fa · inbound

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

Generative AI for Autonomous Driving: A Review SparseDrive: End-to-End Autonomous Driving via Sparse Scene Representation

Reference 244

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:24:07.278988Z digest=sha256:0caae21d4b80e1e10c06d9f5bfa3a2eca5b2380121a58231edf028f35f39a736

Observation b3bfccd4-c6f2-4cb1-86c4-0e80ff9c7a9a · inbound

Challenger: Affordable Adversarial Driving Video Generation cites this paper.

Challenger: Affordable Adversarial Driving Video Generation SparseDrive: End-to-End Autonomous Driving via Sparse Scene Representation

Reference 10

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:16:03.449505Z digest=sha256:4c40637914e52c614c6d7bc7cb934b35e540418e29d3ea68592ba646cd245963

Observation faa6b63c-bab3-42d3-ab00-6301e11b668e · inbound

SOLVE: Synergy of Language-Vision and End-to-End Networks for Autonomous Driving cites this paper.

SOLVE: Synergy of Language-Vision and End-to-End Networks for Autonomous Driving SparseDrive: End-to-End Autonomous Driving via Sparse Scene Representation

Reference 39

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:58:28.552906Z digest=sha256:27ad6fdc33de7ee964b20fa70479e4bd752de434c7a8b0322753b46c800846eb

Observation 53c8a470-60ac-4bf6-a0dc-fe0c52892498 · inbound

DiffVLA: Vision-Language Guided Diffusion Planning for Autonomous Driving cites this paper.

DiffVLA: Vision-Language Guided Diffusion Planning for Autonomous Driving SparseDrive: End-to-End Autonomous Driving via Sparse Scene Representation

Reference 3

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source=pdf_text observed=2026-08-07T14:18:51.281857Z digest=sha256:deaf005fa9a23bc86df28746cd8b3c7338561b3b6a6e9f84348321c3641b63c1

Observation c7692184-235a-4030-881b-27d9d5b39e86 · inbound

DiffE2E: Rethinking End-to-End Driving with a Hybrid Action Diffusion and Supervised Policy cites this paper.

DiffE2E: Rethinking End-to-End Driving with a Hybrid Action Diffusion and Supervised Policy SparseDrive: End-to-End Autonomous Driving via Sparse Scene Representation

Reference 46

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:18:08.137046Z digest=sha256:d333de7dfde0574f6ebfe8b2d9a1b0a4ee1d60318aa91170d92d310a69015b77

Observation a98b44a7-0f2d-48c1-b642-63951ccf4503 · inbound

DriveCamSim: Generalizable Camera Simulation via Explicit Camera Modeling for Autonomous Driving cites this paper.

DriveCamSim: Generalizable Camera Simulation via Explicit Camera Modeling for Autonomous Driving SparseDrive: End-to-End Autonomous Driving via Sparse Scene Representation

Reference 17

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source=pdf_text observed=2026-08-07T14:12:10.621364Z digest=sha256:769ab4728ab99116b8caf8899d50f77650d22f0ab7fa9367a1be60c5a9d3ebaa

Observation 542d4609-fa8e-4b10-b8e3-4919ccb0d26b · inbound

CogAD: Cognitive-Hierarchy Guided End-to-End Autonomous Driving cites this paper.

CogAD: Cognitive-Hierarchy Guided End-to-End Autonomous Driving SparseDrive: End-to-End Autonomous Driving via Sparse Scene Representation

Reference 47

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source=pdf_text observed=2026-08-07T13:47:15.383342Z digest=sha256:73f7ab90157288d38a28f6837fcaf08d8d4e16cd9bb16a768a6ce6855770214e

Observation 10df0b40-14e4-4fe1-8356-65d174406c58 · inbound

RoCA: Robust Cross-Domain End-to-End Autonomous Driving cites this paper.

RoCA: Robust Cross-Domain End-to-End Autonomous Driving SparseDrive: End-to-End Autonomous Driving via Sparse Scene Representation

Reference 34

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source=arxiv_source observed=2026-08-07T04:40:59.719315Z digest=sha256:89c6a46ec1043821efc46a5d0fbf97fa8d10d5b02fc408f11a7d2c1209965145

Observation 8742f981-731f-4573-9d77-b7d9eb4d4019 · inbound

FocalAD: Local Motion Planning for End-to-End Autonomous Driving cites this paper.

FocalAD: Local Motion Planning for End-to-End Autonomous Driving SparseDrive: End-to-End Autonomous Driving via Sparse Scene Representation

Reference 3

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arxiv_id, observed 2026-05-19T10:17:15.779792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-19T10:15:53.988156Z digest=sha256:af43120ff02783498e3935475e2e149ecc7d2e0c4a5b8c00e6986c03bc009117

Observation 8d6e981c-c8f1-4bba-a9f4-f102d8378bb6 · inbound

AutoVLA: A Vision-Language-Action Model for End-to-End Autonomous Driving with Adaptive Reasoning and Reinforcement Fine-Tuning cites this paper.

AutoVLA: A Vision-Language-Action Model for End-to-End Autonomous Driving with Adaptive Reasoning and Reinforcement Fine-Tuning SparseDrive: End-to-End Autonomous Driving via Sparse Scene Representation

Reference 61

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arxiv_id, observed 2026-05-14T21:46:44.046809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-14T21:46:43.955825Z digest=sha256:744a654f22220ebebbe1b7b8d24ff6b8b2cd70ab56229c243d7525cc7beb1e14

Observation af2eff02-a9f1-46c2-9260-91c7fcdcce21 · inbound

NetRoller: Interfacing General and Specialized Models for End-to-End Autonomous Driving cites this paper.

NetRoller: Interfacing General and Specialized Models for End-to-End Autonomous Driving SparseDrive: End-to-End Autonomous Driving via Sparse Scene Representation

Reference 2

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source=pdf_text observed=2026-08-15T19:56:07.947263Z digest=sha256:a9901c606608721cb1a36e1eee2b77869008418ec423d33dd68b464854d6bd8e

Observation 503e365c-6563-45c9-b86c-4adac12c607e · inbound

A Survey on Vision-Language-Action Models for Autonomous Driving cites this paper.

A Survey on Vision-Language-Action Models for Autonomous Driving SparseDrive: End-to-End Autonomous Driving via Sparse Scene Representation

Reference 117

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source=pdf_text observed=2026-08-06T21:31:04.731130Z digest=sha256:f06623ba7b36d49a54ab8be798bac5ca0fb8bedde77c9680a1957e195c4dca31

Observation 26ddc1ba-a5d9-43ea-9be1-873a8c795287 · 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 SparseDrive: End-to-End Autonomous Driving via Sparse Scene Representation

Reference 33

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source=pdf_text observed=2026-08-06T21:19:30.874272Z digest=sha256:f5664d9055ef3f821567e9f2560dbcd3427da707a879470c0b3b68fc8018edb4

Observation a5f85f1e-248c-4c47-a03e-03220a3b03b4 · inbound

DIVER: Reinforced Diffusion Breaks Imitation Bottlenecks in End-to-End Autonomous Driving cites this paper.

DIVER: Reinforced Diffusion Breaks Imitation Bottlenecks in End-to-End Autonomous Driving SparseDrive: End-to-End Autonomous Driving via Sparse Scene Representation

Reference 3

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arxiv_id, observed 2026-05-19T06:07:07.298824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-19T06:06:07.648947Z digest=sha256:8f5c2efc2e2b1d0e423df29bc687f1c5fc8dd5b4085092af2cc981616c083e49

Observation ea90a11d-5f3c-4fb4-8fe7-e71857451270 · inbound

ReAL-AD: Towards Human-Like Reasoning in End-to-End Autonomous Driving cites this paper.

ReAL-AD: Towards Human-Like Reasoning in End-to-End Autonomous Driving SparseDrive: End-to-End Autonomous Driving via Sparse Scene Representation

Reference 40

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source=pdf_text observed=2026-08-06T17:04:50.013532Z digest=sha256:8a339f7602f89549bc3d84a14785d25ede62e77f2226cd3ceb95832690ed0f1c

Observation 712df15f-bbc7-4122-bc00-3273f299dfda · inbound

GEMINUS: Dual-aware Global and Scene-Adaptive Mixture-of-Experts for End-to-End Autonomous Driving cites this paper.

GEMINUS: Dual-aware Global and Scene-Adaptive Mixture-of-Experts for End-to-End Autonomous Driving SparseDrive: End-to-End Autonomous Driving via Sparse Scene Representation

Reference 36

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source=pdf_text observed=2026-08-06T15:59:55.031018Z digest=sha256:eee6a23aea360ac0e4bc15d2b794b7325e87a5e37cfd2007e19160f85e44235f

Observation 1fea9565-6614-450e-b6dd-ae7b3e35de25 · inbound

DistillDrive: End-to-End Multi-Mode Autonomous Driving Distillation by Isomorphic Hetero-Source Planning Model cites this paper.

DistillDrive: End-to-End Multi-Mode Autonomous Driving Distillation by Isomorphic Hetero-Source Planning Model SparseDrive: End-to-End Autonomous Driving via Sparse Scene Representation

Reference 36

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source=pdf_text observed=2026-08-05T23:26:44.251572Z digest=sha256:ee19815a4e1b3bbebcdccb0bcaa8ececb26fbbdead83f6e0f8572b30863b4c52

Observation 3bfb75c9-dc1a-4684-9f11-68baacb63df7 · inbound

IRL-VLA: Training an Vision-Language-Action Policy via Reward World Model cites this paper.

IRL-VLA: Training an Vision-Language-Action Policy via Reward World Model SparseDrive: End-to-End Autonomous Driving via Sparse Scene Representation

Reference 26

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source=pdf_text observed=2026-08-05T23:41:31.820894Z digest=sha256:10a9c376b0629a9d9c2d1db88f7e01f004573c9b5efcaa6584054b86df1dfad0

Observation fda7172f-2074-4be1-bfa6-e625d153b806 · inbound

AlignDrive: Aligned Lateral-Longitudinal Planning for End-to-End Autonomous Driving cites this paper.

AlignDrive: Aligned Lateral-Longitudinal Planning for End-to-End Autonomous Driving SparseDrive: End-to-End Autonomous Driving via Sparse Scene Representation

Reference 10

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verified exact
arxiv_id, observed 2026-05-16T18:41:11.169258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-16T18:39:49.416119Z digest=sha256:a07754139bc5eff8cbf91dbbd61d56618eef69d288dace85bc0487be833afecb

Observation a4816887-83be-4926-b001-ba47d85cd99e · inbound

AlignDrive: Aligned Lateral-Longitudinal Planning for End-to-End Autonomous Driving cites this paper.

AlignDrive: Aligned Lateral-Longitudinal Planning for End-to-End Autonomous Driving SparseDrive: End-to-End Autonomous Driving via Sparse Scene Representation

Reference 10

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source=pdf_text observed=2026-08-03T12:48:36.025290Z digest=sha256:09886394e327ec1b62ff99b7024f082a41b18da5c74c8dfa33fc2f3a877b310f

Observation 720f9e19-8658-460c-a759-c41a39ee9a83 · inbound

Radar-Camera BEV Multi-Task Learning with Cross-Task Attention Bridge for Joint 3D Detection and Segmentation cites this paper.

Radar-Camera BEV Multi-Task Learning with Cross-Task Attention Bridge for Joint 3D Detection and Segmentation SparseDrive: End-to-End Autonomous Driving via Sparse Scene Representation

Reference 30

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arxiv_id, observed 2026-05-11T11:01:03.897825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-10T15:13:56.698126Z digest=sha256:df58cc4dc437fab983b5bba00faed8d3c6b8eb286991365bb84712f687315d7c

Observation 0eed3d73-d87b-47c7-9e64-1a82d5859cba · inbound

Leveraging Previous-Traversal Point Cloud Map Priors for Camera-Based 3D Object Detection and Tracking cites this paper.

Leveraging Previous-Traversal Point Cloud Map Priors for Camera-Based 3D Object Detection and Tracking SparseDrive: End-to-End Autonomous Driving via Sparse Scene Representation

Reference 1

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arxiv_id, observed 2026-05-11T23:31:17.351341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-07T16:46:07.917345Z digest=sha256:e33128fa6487a9ce88b6305f122de49262b3d5280a5f6d8538e09f634c7a2040

Observation b261ffc8-4f5d-4c6f-a930-e1842f7c113c · inbound

Unified Map Prior Encoder for Mapping and Planning cites this paper.

Unified Map Prior Encoder for Mapping and Planning SparseDrive: End-to-End Autonomous Driving via Sparse Scene Representation

Reference 43

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metadata mismatch
arxiv_id, observed 2026-05-09T06:40:40.094097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-08T18:15:31.806757Z digest=sha256:883c59d126a85180f9189a7a02bee4e33936d30cfedf9e6c9f165a524e749595

Observation 62fb527c-b586-470d-b385-8fa729641cdb · inbound

Temporal Sampling Frequency Matters: A Capacity-Aware Study of End-to-End Driving Trajectory Prediction cites this paper.

Temporal Sampling Frequency Matters: A Capacity-Aware Study of End-to-End Driving Trajectory Prediction SparseDrive: End-to-End Autonomous Driving via Sparse Scene Representation

Reference 25

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verified exact
arxiv_id, observed 2026-05-12T04:21:21.972087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-12T04:20:53.607116Z digest=sha256:3db2e7e0be68db72eb2a2d7be124b6ce416dcb8b4b5549d161aff7bf759acbc2

Observation 6448425a-e02c-4078-835b-9e626afb9d13 · 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 SparseDrive: End-to-End Autonomous Driving via Sparse Scene Representation

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-12T06:31:25.909617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-12T04:13:37.421188Z digest=sha256:f081b34ce23c2f6b58945ed55458357a8ff2d97687000c046ead63cb307ab91a

Observation bbe1d3fc-0381-47b4-8df9-29ce4432e43d · inbound

SparseWorld: Enhancing End-to-End Autonomous Driving via World Models with Sparse Scene Representation cites this paper.

SparseWorld: Enhancing End-to-End Autonomous Driving via World Models with Sparse Scene Representation SparseDrive: End-to-End Autonomous Driving via Sparse Scene Representation

Reference 7

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T14:14:45.868352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T14:05:41.611858Z digest=sha256:d9490d56b9b42cacbf09c3fd99cb14a2a4753dba3f31ea4162b7ff386cb58497

Observation 754fc837-095e-4fd8-9919-2465d2fbe5cf · inbound

CADET: Physics-Grounded Causal Auditing and Training-Free Deconfounding of End-to-End Driving Planners cites this paper.

CADET: Physics-Grounded Causal Auditing and Training-Free Deconfounding of End-to-End Driving Planners SparseDrive: End-to-End Autonomous Driving via Sparse Scene Representation

Reference 3

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T16:58:42.637403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-27T04:55:35.713892Z digest=sha256:49bf8e216bf9d964929128a2212869f9c9855d0104dc64864908f042ab8e6fd0

Observation dbb4d79a-8c83-404f-a82f-011be0e57ddb · inbound

MOJITO: Modal Joint Learning for Unified End-to-End Autonomous Driving cites this paper.

MOJITO: Modal Joint Learning for Unified End-to-End Autonomous Driving SparseDrive: End-to-End Autonomous Driving via Sparse Scene Representation

Reference 38

Resolution
unresolved
no resolver link, observed 2026-07-30T20:32:30.026655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T20:32:30.026655Z digest=sha256:c89a1e0ff858eb5b3da4be22f14ecf8368a579e972b61243bccc2438061a58c4

Observation da811eb4-13ae-462c-99ca-a99ca5466c7a · inbound

PRISM: Privileged Probabilistic Latent Supervision for End-to-End Autonomous Driving Motion Planning cites this paper.

PRISM: Privileged Probabilistic Latent Supervision for End-to-End Autonomous Driving Motion Planning SparseDrive: End-to-End Autonomous Driving via Sparse Scene Representation

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T00:31:53.153069Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:31:53.153069Z digest=sha256:c3eb9f1c0c88c8db20352a23b2c2a29fb57561ba32e1ab9355c5de51207877e4

Observation 54e91649-8c9a-4ea3-be1d-0d68e6b0e1c6 · inbound

Deferred Exposure of Future Trajectories for Verifiable Reasoning in Autonomous Driving VLMs cites this paper.

Deferred Exposure of Future Trajectories for Verifiable Reasoning in Autonomous Driving VLMs SparseDrive: End-to-End Autonomous Driving via Sparse Scene Representation

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-07T00:13:54.041411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:13:54.041411Z digest=sha256:d6bef1487051fb26761dcb56f260e441945621756d13bf30454ee74b33a7452b

Observation a1e15486-f9a8-4219-a522-9513238e0d0a · inbound

DH-VLM: Dual-Horizon Cooperative Latent Reasoning for Autonomous Driving cites this paper.

DH-VLM: Dual-Horizon Cooperative Latent Reasoning for Autonomous Driving SparseDrive: End-to-End Autonomous Driving via Sparse Scene Representation

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-15T14:29:06.807138Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T14:29:06.807138Z digest=sha256:e328345a235e2b44069b865f50fdd8373806fd038c54dbe330c0f503b750d530