Pith. sign in

Paper Citation Record · LEDGER

Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

As of 21 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 100 inbound Pith citation observations for arXiv:2301.00493.

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

pith.paper-citation-record.v1
2301.00493 v1

Coverage vector

measured 54 of 54 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-12T20:16:37.290099Z

measured 154 of 154 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 100 of 133 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:09:47.143420Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

54 of 54 outbound references displayed

  • verified exact16
  • verified fuzzy36
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

92
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation de981251-0c6d-465b-b8f3-f075eb28fcb3 · outbound

This paper cites SemanticKITTI: A dataset for semantic scene understanding of lidar sequences.

Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting SemanticKITTI: A dataset for semantic scene understanding of lidar sequences

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T20:16:37.506447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-12T20:16:37.290099Z digest=sha256:18754326c3439aaa86697bcba53514fee8b061d89f43989cfdc68fb22f721162

Observation 6e28f646-c61d-40ae-aadd-08c14b839af2 · outbound

This paper cites Range conditioned dilated convolutions for scale invariant 3d object detection.

Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting Range conditioned dilated convolutions for scale invariant 3d object detection

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T20:16:37.543592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-12T20:16:37.290099Z digest=sha256:7b45e5fd443140d01f62f8203a920b1d848ed75b9a4a2ba1a04003f3b51e2939

Observation b5426f0f-dc9b-40e9-a1a0-be7606f697db · outbound

This paper cites Language Models are Few-Shot Learners.

Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting Language Models are Few-Shot Learners

Reference 3

Resolution
verified exact
local_arxiv, observed 2026-05-12T20:16:37.343325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-12T20:16:37.290099Z digest=sha256:ba8b5503a722e54a23959991dd54e539bba284eae36b2ea5323aafab166f400a

Observation 598f3499-7dd8-408d-b654-72ff4d3323dc · outbound

This paper cites Lang, Sourabh V ora, Venice Erin Liong, Qiang Xu, Anush Krishnan, Yu Pan, Giancarlo Baldan, and Oscar Beijbom.

Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting Lang, Sourabh V ora, Venice Erin Liong, Qiang Xu, Anush Krishnan, Yu Pan, Giancarlo Baldan, and Oscar Beijbom

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T20:16:37.547454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-12T20:16:37.290099Z digest=sha256:2641b3459b4b583647916b2f8e0e2661c63cc4516b367a34e537b81bc874b8de

Observation fbf60128-13b9-4d24-a4e9-8de4ed4f57c2 · outbound

This paper cites To the point: Efficient 3d object detection in the range image with graph convolution kernels.

Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting To the point: Efficient 3d object detection in the range image with graph convolution kernels

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T20:16:37.551510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-12T20:16:37.290099Z digest=sha256:f046550c51606e3cdc2d1ff1d428780caf672de244f227da1bf866868ad8c7cc

Observation e46cf61b-2652-4cc7-9843-6f793cd6eaa2 · outbound

This paper cites Argoverse: 3D Tracking and Forecasting With Rich Maps.

Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting Argoverse: 3D Tracking and Forecasting With Rich Maps

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T20:16:37.555622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-12T20:16:37.290099Z digest=sha256:0e365cadd19294a111f5b3baa4aea4ef959614b1a70dc74accd3f48f38352d66

Observation 8c6341fb-4a91-4388-b196-4aaf8ec430ec · outbound

This paper cites A simple framework for contrastive learning of visual representations.

Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting A simple framework for contrastive learning of visual representations

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T20:16:37.560136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-12T20:16:37.290099Z digest=sha256:d9087c8d2253d3280e96c24c5cd3feee85939c5c965bcfa48e85e99787a8a5fd

Observation a90d44bb-d5c4-488d-a73f-62833cbb9251 · outbound

This paper cites GeoSim: Realistic video simulation via geometry-aware composition for self-driving.

Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting GeoSim: Realistic video simulation via geometry-aware composition for self-driving

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T20:16:37.570512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-12T20:16:37.290099Z digest=sha256:54ae37d876ee51bb0a83c92d148014c156a672945b5e2d947e5ca14cd0cfe971

Observation 20a488ad-90af-4b89-afe1-6c90a75fd79b · outbound

This paper cites Kaist multi-spectral day/night data set for autonomous and assisted driving.

Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting Kaist multi-spectral day/night data set for autonomous and assisted driving

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T20:16:37.574688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-12T20:16:37.290099Z digest=sha256:a2f4a405250acd9fcfa549bd2a7872a579ddd364afcdcc0e9b527b798ce22929

Observation d5564d12-a4f3-4181-bbdd-38f3523f78ae · outbound

This paper cites All-day visual place recognition: Benchmark dataset and baseline.

Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting All-day visual place recognition: Benchmark dataset and baseline

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T20:16:37.578534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-12T20:16:37.290099Z digest=sha256:6dda758841eff4f496e6c2cf89709b6b787746a7dfd2e1927ea6b7b2cb4b952d

Observation 4ff8d156-4489-43db-8592-adf2595901ac · outbound

This paper cites GoRela: Go Relative for Viewpoint-Invariant Motion Forecasting.

Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting GoRela: Go Relative for Viewpoint-Invariant Motion Forecasting

Reference 11

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T20:16:37.403204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-12T20:16:37.290099Z digest=sha256:903b8ba091a6c0f3493855c09c6ad59e38ac6773ab0146456b0c142c93742eef

Observation a0f85c1b-f098-4f73-8878-a882e984f73f · outbound

This paper cites Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset.

Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-12T20:16:37.335164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-12T20:16:37.290099Z digest=sha256:8b80605b0aaca1165067e990a38ef7641e8263ba10ba607e11eb2b2798d948b1

Observation 5e031b5c-bf5a-446e-81b4-09968e663dad · outbound

This paper cites Technical report for cvpr 2022 workshop on autonomous driving argoverse 3d object detection competition.

Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting Technical report for cvpr 2022 workshop on autonomous driving argoverse 3d object detection competition

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T20:16:37.583026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-12T20:16:37.290099Z digest=sha256:cbc770580b3f71cb77fae322fa5cac366b11b8873165c9c2abef6172c248778d

Observation 0baf6043-f15b-4001-908e-97c11a7a1578 · outbound

This paper cites Cityscapes 3D: Dataset and Benchmark for 9 DoF Vehicle Detection.

Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting Cityscapes 3D: Dataset and Benchmark for 9 DoF Vehicle Detection

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-12T20:16:37.390457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-12T20:16:37.290099Z digest=sha256:dd2d5843576f5b0b03c8d344820f898229fb1846701ce55045727750338f9e9a

Observation d920185a-c241-4408-8342-232007e5e323 · outbound

This paper cites VectorNet: Encoding hd maps and agent dynamics from vectorized representation.

Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting VectorNet: Encoding hd maps and agent dynamics from vectorized representation

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T20:16:37.587244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-12T20:16:37.290099Z digest=sha256:418157c90546755d407382b39c8bd96e20d5b734ae542fb7f348ccfd8afe3a0d

Observation 039632ed-93e6-411e-b6b2-1f9844798684 · outbound

This paper cites Afdet: Anchor free one stage 3d object detection.

Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting Afdet: Anchor free one stage 3d object detection

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T20:16:37.592184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-12T20:16:37.290099Z digest=sha256:cb1b0408abeb35d3c84be73767210839245cc039b3eb3141b8991a4244071ef4

Observation da2446df-2fe8-41d8-838b-2cb1a967cc3f · outbound

This paper cites Are we ready for autonomous driving? The KITTI vision benchmark suite.

Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting Are we ready for autonomous driving? The KITTI vision benchmark suite

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T20:16:37.596145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-12T20:16:37.290099Z digest=sha256:b0ce472797c5ed45f76517b3f8699884b736529230601bc82f0d46e7ce1edfbe

Observation 429d6a32-b6f0-4152-bf76-1d2f3c59e134 · outbound

This paper cites A2D2: Audi Autonomous Driving Dataset.

Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting A2D2: Audi Autonomous Driving Dataset

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-07-29T00:24:28.889631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-12T20:16:37.290099Z digest=sha256:558b14a155478abec86a5dbd528f52639120ebc9789bb738be62e79eba4b59a7

Observation 4016b694-ce1c-4880-9846-1201e82f839b · outbound

This paper cites HOME: Heatmap Output for future Motion Estimation.

Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting HOME: Heatmap Output for future Motion Estimation

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-12T20:16:37.379403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-12T20:16:37.290099Z digest=sha256:25f28c905cd20e0a4b57fe085b6c05aa3d76f97b5564df7fd049c434a614f22b

Observation dd1be62f-94d1-4100-b5a5-70585da887c7 · outbound

This paper cites Thomas: Trajectory heatmap output with learned multi-agent sampling.

Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting Thomas: Trajectory heatmap output with learned multi-agent sampling

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T20:16:37.600129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-12T20:16:37.290099Z digest=sha256:511146f404f12429f008bdcba12602c1570f5ebf57731988fa76bbc888c1b342

Observation 7180a9f5-83b3-4a3c-993e-f0eb6243de9d · outbound

This paper cites Streaming object detection for 3-d point clouds.

Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting Streaming object detection for 3-d point clouds

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T20:16:37.603948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-12T20:16:37.290099Z digest=sha256:305349e164d5a3426e71eca6897b4be6813102c9b7a8c6201bb25eb7a3e5da1e

Observation afaaa2d6-4136-46db-8c3a-708b8b7aa362 · outbound

This paper cites One Thousand and One Hours: Self-driving Motion Prediction Dataset.

Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting One Thousand and One Hours: Self-driving Motion Prediction Dataset

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-12T20:16:37.429851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-12T20:16:37.290099Z digest=sha256:90962f2dd10aba95c68c774c18e846eed09756b919ad47109d0a0e4b58495050

Observation f91d5f09-119d-44d0-9fea-d2bc1e988276 · outbound

This paper cites Safe local motion planning with self-supervised freespace forecasting.

Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting Safe local motion planning with self-supervised freespace forecasting

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T20:16:37.607534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-12T20:16:37.290099Z digest=sha256:dee574ed4c672c32f77eddd68d8673b5ff9965a79fea0698b3811d386618f8b2

Observation 0eb7059b-8b58-4ad9-861a-d14d9a71a7f7 · outbound

This paper cites Kesten, M.

Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting Kesten, M

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T20:16:37.611987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-12T20:16:37.290099Z digest=sha256:feaabe38fc0b2d0264914860d7066c00e0944b57a946f33d5762117eac6a9c76

Observation 9f0270a0-b6b2-44c4-a1c9-94bc72a7149a · outbound

This paper cites What-If Motion Prediction for Autonomous Driving.

Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting What-If Motion Prediction for Autonomous Driving

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-12T20:16:37.364746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-12T20:16:37.290099Z digest=sha256:1643cf8f93bd58c5b735c06ca2d96fb99c83c28cad6380d68d584ec038a39c33

Observation 44dffca3-231e-466b-a276-0ccee876478f · outbound

This paper cites Lambert and James Hays.

Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting Lambert and James Hays

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T20:16:37.616629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-12T20:16:37.290099Z digest=sha256:30d9ac4ca4ba6ff8a950a04dc410ce5bab7b46eb6e2a498e2bf190faa60e6efe

Observation 7f2bf725-3953-4e38-8cfc-ae08cf61fa3f · outbound

This paper cites Lang, Sourabh V ora, Holger Caesar, Lubing Zhou, Jiong Yang, and Oscar Beijbom.

Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting Lang, Sourabh V ora, Holger Caesar, Lubing Zhou, Jiong Yang, and Oscar Beijbom

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T20:16:37.455628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-12T20:16:37.290099Z digest=sha256:53850044f347ad9f11c8cea4aa75ab96671ff893059736524057af0869bbd8aa

Observation acf95415-f028-4693-ac1b-b04c5ec773a3 · outbound

This paper cites Social Attention for Autonomous Decision-Making in Dense Traffic.

Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting Social Attention for Autonomous Decision-Making in Dense Traffic

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-12T20:16:37.384917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-12T20:16:37.290099Z digest=sha256:49316e663957557b3ad5ccf59a9eb068ea465929f373d68a05423a489cd3b2c5

Observation aef0cd5e-7dda-49f0-8e3d-bfae78dcb8af · outbound

This paper cites Towards streaming perception.

Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting Towards streaming perception

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T20:16:37.459655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-12T20:16:37.290099Z digest=sha256:e27e5b1316d6d744037fa8a14db1fbce3c66a61826bef934d070803b736e58ff

Observation 4e7453a0-0297-4381-b11e-c73c2f635980 · outbound

This paper cites HDMapNet: An Online HD Map Construction and Evaluation Framework.

Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting HDMapNet: An Online HD Map Construction and Evaluation Framework

Reference 30

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T20:16:37.397369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-12T20:16:37.290099Z digest=sha256:8ce57c0104c3abd5c285da11c5ecdd9d589df49d4201cb27b65adbba333b0039

Observation ec0a2be3-6768-4182-afab-f6d07e911964 · outbound

This paper cites Learning lane graph representations for motion forecasting.

Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting Learning lane graph representations for motion forecasting

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T20:16:37.463775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-12T20:16:37.290099Z digest=sha256:31801cf88886d185ccfcb44177a9b1d80f832dc8c916594bd02b16c8cf5e80d6

Observation c4bbf30b-bfb5-45d2-958f-ff43ac50f9fb · outbound

This paper cites BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation.

Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-12T20:16:37.410139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-12T20:16:37.290099Z digest=sha256:a7c7ff9c218423422692b7d0b721dbe3824c11e061abee9f0e1a5467cd754e3d

Observation e6db62d8-9358-47fe-85b8-79c1417bbc96 · outbound

This paper cites TrafficPredict: Trajectory Prediction for Heterogeneous Traffic-Agents.

Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting TrafficPredict: Trajectory Prediction for Heterogeneous Traffic-Agents

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-05-12T20:16:37.416220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-12T20:16:37.290099Z digest=sha256:dfb7e9737149b7394f846ff0ce85a1636a5250899b83cb5a72fb49e15f50af0d

Observation ac7a27bf-134a-4224-adf3-6009613efd1a · outbound

This paper cites Shifts: A Dataset of Real Distributional Shift Across Multiple Large-Scale Tasks.

Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting Shifts: A Dataset of Real Distributional Shift Across Multiple Large-Scale Tasks

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-12T20:16:37.422566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-12T20:16:37.290099Z digest=sha256:0b456208bf82ea196dc3b38d796a2bef1fa423f22872c0193b0469b92db6a65a

Observation 51dbf931-517d-4d75-8b18-f21e174f36ae · outbound

This paper cites LiDARsim: Realistic lidar simula- tion by leveraging the real world.

Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting LiDARsim: Realistic lidar simula- tion by leveraging the real world

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T20:16:37.467474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-12T20:16:37.290099Z digest=sha256:37e35676550f92d95765908c62b0d867153dd7a7809164f4724036c39c2f6a87

Observation e958b09c-5704-4a36-9f25-3b7c249c2ab7 · outbound

This paper cites One Million Scenes for Autonomous Driving: ONCE Dataset.

Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting One Million Scenes for Autonomous Driving: ONCE Dataset

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-12T20:16:37.444803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-12T20:16:37.290099Z digest=sha256:40171661d13be169e83a538a98fea574cb28acc9fb25ca36b1aed9f94d9f2e53

Observation d3390811-2a74-4824-a70a-986dd5b51db4 · outbound

This paper cites Multi-head attention for multi-modal joint vehicle motion forecasting.

Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting Multi-head attention for multi-modal joint vehicle motion forecasting

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T20:16:37.472185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-12T20:16:37.290099Z digest=sha256:1bbce8db502a422a2e870b27635da7d4bf02ce1ea459bd8cca0e358c42703254

Observation 61aa08f0-4620-4f15-965e-75c27bb6f02b · outbound

This paper cites Multi-head attention for multi-modal joint vehicle motion forecasting.

Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting Multi-head attention for multi-modal joint vehicle motion forecasting

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T20:16:37.476341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-12T20:16:37.290099Z digest=sha256:d1ed9be2e2e8ab301ce3531980096c40bf6cde942f78f036e65b76a2c9d64b7e

Observation 5ef75a70-182d-452d-b939-1b3c9e81cd1f · outbound

This paper cites The H3D Dataset for Full-Surround 3D Multi-Object Detection and Tracking in Crowded Urban Scenes.

Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting The H3D Dataset for Full-Surround 3D Multi-Object Detection and Tracking in Crowded Urban Scenes

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-07-04T23:26:56.483010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-12T20:16:37.290099Z digest=sha256:ada8926b0e865004aed478e33381b328f551c9375c7fbfdcb4e99665d8ffb28f

Observation 4321aec6-94cd-4cd5-b6cc-bb5ceba46c3f · outbound

This paper cites A*3D Dataset: Towards Autonomous Driving in Challenging Environments.

Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting A*3D Dataset: Towards Autonomous Driving in Challenging Environments

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-05-12T20:16:37.358522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-12T20:16:37.290099Z digest=sha256:7ae975b7c3293e6ea9e2f149807e3ae51a4fedd73a7c28db873ad27e37386888

Observation b42e93e3-02a7-472d-9243-d24dcc24b6bd · outbound

This paper cites Canadian adverse driving conditions dataset.

Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting Canadian adverse driving conditions dataset

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T20:16:37.480179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-12T20:16:37.290099Z digest=sha256:ff4ccf8a0314e7809349c5c9a129f09e4ff7de9d870ec3a15493503035fe8157

Observation 59372917-b12e-4aaa-82b4-1a63c5da25cf · outbound

This paper cites Qi, Yin Zhou, Mahyar Najibi, Pei Sun, Khoa V o, Boyang Deng, and Dragomir Anguelov.

Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting Qi, Yin Zhou, Mahyar Najibi, Pei Sun, Khoa V o, Boyang Deng, and Dragomir Anguelov

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T20:16:37.483877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-12T20:16:37.290099Z digest=sha256:80f6a08fc94b61df17f4be50486f33c95554a00edc961458b633b2b045767ef7

Observation 6f31de1d-c203-42d6-b37b-d3272f830d6e · outbound

This paper cites Argoverse motion forecast- ing competition.

Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting Argoverse motion forecast- ing competition

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T20:16:37.487269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-12T20:16:37.290099Z digest=sha256:37c799b79e7e2fa245284868e65ed543d0c6c82bb3cc581800b78ed894d36c44

Observation 327a289f-1afc-4332-9ec5-f798838da288 · outbound

This paper cites Qml for argoverse 2 motion forecasting challenge.

Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting Qml for argoverse 2 motion forecasting challenge

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T20:16:37.491389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-12T20:16:37.290099Z digest=sha256:2d64258a1160c170154ce7faffd6a025aaaa0e791e0842c3f5c8e87dffdcc315

Observation cf7af0dd-1e23-450c-bf48-e29a4b19e073 · outbound

This paper cites Scalability in Perception for Autonomous Driving: Waymo Open Dataset.

Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting Scalability in Perception for Autonomous Driving: Waymo Open Dataset

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T20:16:37.495846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-12T20:16:37.290099Z digest=sha256:ee3a06eae5947ebc8b5b55c603624e6402989d948a6fc46ed5c5dcce77928523

Observation f312b9b6-89a6-46ae-ace6-9afd9a51f9d9 · outbound

This paper cites Rsn: Range sparse net for efficient, accurate lidar 3d object detection.

Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting Rsn: Range sparse net for efficient, accurate lidar 3d object detection

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T20:16:37.499591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-12T20:16:37.290099Z digest=sha256:15f879843e324ed407fba43e0cd0e0693485ead52f24eb9c3d741620321e5692

Observation 0318e2d1-e2ae-4c77-9517-238462c875ce · outbound

This paper cites Ganet: Goal area network for motion forecasting.

Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting Ganet: Goal area network for motion forecasting

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T20:16:37.503062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-12T20:16:37.290099Z digest=sha256:51385cdbe280d55b4171435c37258f88a04a0e23ecdeed64d277f675aeb854c0

Observation fd27f749-3cbb-4d2c-92a4-98b345eec7e8 · outbound

This paper cites 4d forecast- ing: Sequential forecasting of 100,000 points.

Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting 4d forecast- ing: Sequential forecasting of 100,000 points

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T20:16:37.539180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-12T20:16:37.290099Z digest=sha256:3ce02d2693ec6f6ec71a42e093bb4888e5cddd65c89c184bfd97900d9ac5af97

Observation a93e6de9-6e6e-4863-9a28-c3929db0c21b · outbound

This paper cites Inverting the forecasting pipeline with spf2: Sequential pointcloud forecasting for sequential pose forecasting.

Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting Inverting the forecasting pipeline with spf2: Sequential pointcloud forecasting for sequential pose forecasting

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T20:16:37.510596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-12T20:16:37.290099Z digest=sha256:8af92feeb7ccbafa366c35c460b0485c443779e1cc9140a0700d0dd8ee10643a

Observation 6ff9ee15-6edd-41c6-a72f-f39b7d90aefc · outbound

This paper cites Surfelgan: Synthesizing realistic sensor data for autonomous driving.

Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting Surfelgan: Synthesizing realistic sensor data for autonomous driving

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T20:16:37.524018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-12T20:16:37.290099Z digest=sha256:6c312a753896b6b9a0659174331d0880ee5c0cb71bfc6b3410ad10eaeb2f95d0

Observation 68736242-254e-41d0-8a9d-32591f6665a8 · outbound

This paper cites Center-based 3d object detection and tracking.

Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting Center-based 3d object detection and tracking

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T20:16:37.529943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-12T20:16:37.290099Z digest=sha256:6f36498af1b8f2864088abb970491291611a27ca3bb2c4a25b47575f65f118b8

Observation 605d3670-685d-43fd-aa31-af5aa6d251e1 · outbound

This paper cites INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps.

Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps

Reference 52

Resolution
verified exact
arxiv_id, observed 2026-05-12T20:16:37.438424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-12T20:16:37.290099Z digest=sha256:a17e89fe31e1294a3a4a1bffd2c3db6416b55bc8a03f2e2ff93488fa33bb47a0

Observation bfa06cc6-65ca-40c8-88c2-ef5b0d4f28de · outbound

This paper cites Banet: Motion forecasting with boundary aware network.

Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting Banet: Motion forecasting with boundary aware network

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T20:16:37.534789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-12T20:16:37.290099Z digest=sha256:260f34e988913d72d2940666bf264a96fa8b498ae256366e1ef5ee4708c7602e

Observation 7d4ead43-fa41-4201-a5b3-14440994d44c · outbound

This paper cites Lane Graph Estimation for Scene Understanding in Urban Driving.

Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting Lane Graph Estimation for Scene Understanding in Urban Driving

Reference 54

Resolution
verified exact
arxiv_id, observed 2026-05-12T20:16:37.449976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-12T20:16:37.290099Z digest=sha256:754e0941293f19d9f657a22f5dbb2fe4bd7c29f993bff33da82a05c7e984d2da

Pith citing papers

Observation c047b8b0-21f0-40b1-96d2-92a9e1bf96b0 · inbound

3D Multi-Object Tracking with Semi-Supervised GRU-Kalman Filter cites this paper.

3D Multi-Object Tracking with Semi-Supervised GRU-Kalman Filter Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-12T21:40:26.005960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T21:40:26.005960Z digest=sha256:ab8e3e5f50b58181c5d453c2aecf0280d757c3294ae09fc33d2ff2012dfb8e3d

Observation b5132087-fbfd-4489-9748-284ecbbff7be · inbound

Planning by Simulation: Motion Planning with Learning-based Parallel Scenario Prediction for Autonomous Driving cites this paper.

Planning by Simulation: Motion Planning with Learning-based Parallel Scenario Prediction for Autonomous Driving Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 48

Resolution
verified exact
local_arxiv, observed 2026-05-23T17:38:15.903860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-23T17:35:44.374814Z digest=sha256:bd096198cfda955dcb40b207661cbae2998a9827d08f9233baeba4184bb028e1

Observation e32a45cf-9cf7-404c-ad14-1211df9743c8 · inbound

Map-Free Trajectory Prediction with Map Distillation and Hierarchical Encoding cites this paper.

Map-Free Trajectory Prediction with Map Distillation and Hierarchical Encoding Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-12T19:11:49.130422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T19:11:49.130422Z digest=sha256:61f4c2cd5fface63e2c5aaa0e6f716096a3df094b6d4fab944f86b3976e0b8a5

Observation 157ee1a3-215b-4345-82d3-ef79cfd55b94 · inbound

WHALES: A Multi-Agent Scheduling Dataset for Enhanced Cooperation in Autonomous Driving cites this paper.

WHALES: A Multi-Agent Scheduling Dataset for Enhanced Cooperation in Autonomous Driving Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-12T16:37:13.532691Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T16:37:13.532691Z digest=sha256:bc5b30ecfb67049a6e3db30ad6f8f64d429a670b46bfa95169fc044f2390480b

Observation 7f3e6778-d786-4b32-a428-5ea27ba8f29f · inbound

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

Monocular Lane Detection Based on Deep Learning: A Survey Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 149

Resolution
unresolved
no resolver link, observed 2026-08-12T13:18:36.598222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:18:36.598222Z digest=sha256:d6bb1a4aa33ef539a89d21e7b3ff1f0a685581df5d3cecc660f630081def37ee

Observation cccf2514-e774-4c4f-98be-f718726b16a3 · inbound

Enhancing Lane Segment Perception and Topology Reasoning with Crowdsourcing Trajectory Priors cites this paper.

Enhancing Lane Segment Perception and Topology Reasoning with Crowdsourcing Trajectory Priors Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-12T12:30:34.435732Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:30:34.435732Z digest=sha256:ec16b961e777ce6d4bd0dbccc6d3bfa392b16516c3620be36d923fd5defc95d4

Observation 4474401e-c880-4013-9f5a-9a53022e68b4 · inbound

SharpDepth: Sharpening Metric Depth Predictions Using Diffusion Distillation cites this paper.

SharpDepth: Sharpening Metric Depth Predictions Using Diffusion Distillation Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-12T11:28:36.132097Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:28:36.132097Z digest=sha256:227607d708bb452ff61572fba7898a36969ad627f4544f9f87e1649f1201e358

Observation 34e9bb4b-2700-4d1b-bb1f-bb0cb448634f · inbound

InterHub: A Naturalistic Trajectory Dataset with Dense Interaction for Autonomous Driving cites this paper.

InterHub: A Naturalistic Trajectory Dataset with Dense Interaction for Autonomous Driving Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-12T11:24:11.495349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:24:11.495349Z digest=sha256:a59a3dc0b132017e6f5d10906ff9c41b8d0f5134f3b4af6bf467b02a80e1451c

Observation 6fab701e-d9fd-416f-89ab-0d532b2e0c50 · inbound

On Simplifying Large-Scale Spatial Vectors: Fast, Memory-Efficient, and Cost-Predictable k-means cites this paper.

On Simplifying Large-Scale Spatial Vectors: Fast, Memory-Efficient, and Cost-Predictable k-means Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-11T23:48:11.298633Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:48:11.298633Z digest=sha256:c1d71648f620828d210457c5b4ea5de4d8fb8f007fcba2fbe88c998efa1f0a4b

Observation 5e22142d-7572-422e-9287-f59655bfb311 · inbound

Extrapolated Urban View Synthesis Benchmark cites this paper.

Extrapolated Urban View Synthesis Benchmark Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-11T20:53:35.141608Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:53:35.141608Z digest=sha256:6839da4ed96915791b842c0084f3192ef1e4e75fb66c8712059ae2721ef36e09

Observation 58d67e81-e121-4372-8e84-89c2c217fb0a · 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 Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-11T13:55:39.201536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:55:39.201536Z digest=sha256:08f1f3554726578cdb729cf998d21974c0b84c84d0b29a2abba291cc66a443dd

Observation e1851ee9-f9fe-473b-8456-0cff6e34023f · inbound

ImagineMap: Enhanced HD Map Construction with SD Maps cites this paper.

ImagineMap: Enhanced HD Map Construction with SD Maps Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-11T06:00:53.670325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T06:00:53.670325Z digest=sha256:d668e1e69f1d17443171e0c3c62015f8ab43a0549424e9f0a8d4f107cf5265b1

Observation a7689427-e8f4-4cac-b1b7-15978dfba9d3 · inbound

Generating Traffic Scenarios via In-Context Learning to Learn Better Motion Planner cites this paper.

Generating Traffic Scenarios via In-Context Learning to Learn Better Motion Planner Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-11T05:06:16.425482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:06:16.425482Z digest=sha256:451c00a4886c70939bc93bfdcc38edccaa18dd68af2a0a4492c2559f0924c617

Observation 05bb084f-0371-4a1e-93b4-82e4458923d7 · inbound

STORM: Spatio-Temporal Reconstruction Model for Large-Scale Outdoor Scenes cites this paper.

STORM: Spatio-Temporal Reconstruction Model for Large-Scale Outdoor Scenes Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-10T22:52:35.061065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:52:35.061065Z digest=sha256:6f766b96ea25d985e857b17687f3c034e982630589cd3fb4f20851907d3028d2

Observation 1bfc2c24-c20f-48b2-88ca-c965fb33855f · inbound

Towards Generalizable Trajectory Prediction Using Dual-Level Representation Learning And Adaptive Prompting cites this paper.

Towards Generalizable Trajectory Prediction Using Dual-Level Representation Learning And Adaptive Prompting Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-10T21:31:12.023705Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:31:12.023705Z digest=sha256:094c3af81ff1ae3224d5ecb366f8439ff9378fc6e72acf425a165e6697dc4e62

Observation ce8c3134-b63a-4e56-a5ab-25ff9a771b88 · inbound

Towards Developing Socially Compliant Automated Vehicles: Advances, Expert Insights, and A Conceptual Framework cites this paper.

Towards Developing Socially Compliant Automated Vehicles: Advances, Expert Insights, and A Conceptual Framework Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-10T21:09:03.675294Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:09:03.675294Z digest=sha256:82d24013aa62dd0c5c0df803b32300d4f6c87b3f944ee5ace343f776eead3a99

Observation 25d122bd-b0a5-4ff1-861f-96a3b2e7d951 · inbound

A Survey of World Models for Autonomous Driving cites this paper.

A Survey of World Models for Autonomous Driving Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 204

Resolution
unresolved
no resolver link, observed 2026-08-10T18:31:52.910915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:31:52.910915Z digest=sha256:1b230122cdc07294e47afb2df56524971c6801f7f8c67a768e2bcc94d41a35d2

Observation 439e0562-a06a-44bd-8ac7-968a37641607 · inbound

SimBEV: A Synthetic Multi-Task Multi-Sensor Driving Data Generation Tool and Dataset cites this paper.

SimBEV: A Synthetic Multi-Task Multi-Sensor Driving Data Generation Tool and Dataset Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-09T14:07:27.933993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T14:07:27.933993Z digest=sha256:5592f1351f01869cf2fe5f4499b40592e669d1e2a3a0984284677c78fc4c8c5b

Observation bebbe346-5a71-4f75-a89e-923d3a019cd5 · inbound

Topo2Seq: Enhanced Topology Reasoning via Topology Sequence Learning cites this paper.

Topo2Seq: Enhanced Topology Reasoning via Topology Sequence Learning Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-07T23:07:35.588469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T23:07:35.588469Z digest=sha256:2775a1a204ffd8d9dbbad91f595301904a7b78412185535f34292f7b7f659a2b

Observation 2426c140-a64d-48a2-9075-e9fe5f476cec · inbound

TARS: Traffic-Aware Radar Scene Flow Estimation cites this paper.

TARS: Traffic-Aware Radar Scene Flow Estimation Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 20

Resolution
verified exact
local_arxiv, observed 2026-05-22T23:55:15.001115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-22T23:54:44.218963Z digest=sha256:4c922ec2d9cc62f73c50901bf3f7a1ff722d0acc3b2687c0da819d7dad02eab8

Observation 0c091c4b-d9c6-42d8-a9cb-122e79b79b6d · inbound

PillarMamba: Learning Local-Global Context for Roadside Point Cloud via Hybrid State Space Model cites this paper.

PillarMamba: Learning Local-Global Context for Roadside Point Cloud via Hybrid State Space Model Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-15T23:09:47.143420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:09:47.143420Z digest=sha256:f599c3c403bf9e24901ceeccf53f373b038df1f9c9b47a0e00c903ed2a997252

Observation e217d439-1146-434b-abff-a7c894bf9df3 · inbound

Generative AI for Autonomous Driving: Frontiers and Opportunities cites this paper.

Generative AI for Autonomous Driving: Frontiers and Opportunities Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 119

Resolution
unresolved
no resolver link, observed 2026-08-15T21:49:13.018112Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:49:13.018112Z digest=sha256:90205070b7ccc01e2c8375986b21413c5d22c3621fe0faa6719ce63254483018

Observation 1afc315b-2c4e-42b7-bc6e-cac7e98097fb · inbound

Inferring Driving Maps by Deep Learning-based Trail Map Extraction cites this paper.

Inferring Driving Maps by Deep Learning-based Trail Map Extraction Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-15T21:17:27.352034Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:17:27.352034Z digest=sha256:395a066e3b35f5174365fefbb966640eef91cfcc219a051bf264ac2564a50ca5

Observation f869ad62-7e89-456c-9c5f-5a92ccef97dc · inbound

SEPT: Standard-Definition Map Enhanced Scene Perception and Topology Reasoning for Autonomous Driving cites this paper.

SEPT: Standard-Definition Map Enhanced Scene Perception and Topology Reasoning for Autonomous Driving Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-15T20:41:59.154671Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:41:59.154671Z digest=sha256:151a09c297088cfff578322a82d1020254041fd52eed3e3788f786b32fc63ff5

Observation eb7f8e35-be2f-4d6f-bfa7-96cf1ebedeae · inbound

HAMF: A Hybrid Attention-Mamba Framework for Joint Scene Context Understanding and Future Motion Representation Learning cites this paper.

HAMF: A Hybrid Attention-Mamba Framework for Joint Scene Context Understanding and Future Motion Representation Learning Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T15:16:10.721562Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:16:10.721562Z digest=sha256:7627473106bf432845cc0775e528c93addc39c70fe3caa524a505a2b5fdbe277

Observation f6695dbb-39f9-4229-9088-f9dcb6d3df11 · inbound

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

Generative AI for Autonomous Driving: A Review Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 263

Resolution
unresolved
no resolver link, observed 2026-08-07T15:24:07.377843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:24:07.377843Z digest=sha256:2f220bf69d37792340d7b396d3cfa13c3167a91045d8e1c407b255462ce68514

Observation 9647b99a-5358-4ddc-9f6e-c2c4b5ff93ef · inbound

SafeMVDrive: Multi-view Safety-Critical Driving Video Synthesis in the Real World Domain cites this paper.

SafeMVDrive: Multi-view Safety-Critical Driving Video Synthesis in the Real World Domain Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-07T14:46:52.568231Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:46:52.568231Z digest=sha256:b2bd5da3a3a4c279bd5de9b5e5ce6a82b057b6119d4157ca11ad602d88129e76

Observation a1c27703-324c-4d73-9f1c-c367d05b6b2a · inbound

RetroMotion: Retrocausal Motion Forecasting Models are Instructable cites this paper.

RetroMotion: Retrocausal Motion Forecasting Models are Instructable Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 52

Resolution
verified exact
local_arxiv, observed 2026-05-19T12:47:18.012017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-19T12:43:30.765587Z digest=sha256:4730f9b9ced009b6d0de2f1b5afc06649cdf3c7cf3e9c5f7389f2212a442f08e

Observation 1719500c-7fbd-45c0-b3f5-52ce31405868 · inbound

Simulating the Unseen: Crash Prediction Must Learn from What Did Not Happen cites this paper.

Simulating the Unseen: Crash Prediction Must Learn from What Did Not Happen Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 163

Resolution
unresolved
no resolver link, observed 2026-08-07T13:28:34.928356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:28:34.928356Z digest=sha256:2fd732ef237f84dab3ca609667c2b7190f823489ca16d026e284691aaed8ff79

Observation 07cdbfb7-6e14-4b8d-ac5d-4ba8979a2610 · inbound

PS4PRO: Pixel-to-pixel Supervision for Photorealistic Rendering and Optimization cites this paper.

PS4PRO: Pixel-to-pixel Supervision for Photorealistic Rendering and Optimization Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-07T13:08:09.764824Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:08:09.764824Z digest=sha256:98ac4edcaac6af2ed9fa261c1badc56936a6f655b976fe42bdc1723dd6e5dbb2

Observation ba8538fc-a862-4b1f-8967-f28846f4bbcb · inbound

Impromptu VLA: Open Weights and Open Data for Driving Vision-Language-Action Models cites this paper.

Impromptu VLA: Open Weights and Open Data for Driving Vision-Language-Action Models Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-07T12:43:57.720414Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:43:57.720414Z digest=sha256:c192e404add76bbd7cf229faa9bcd6b0ba8b6e364f28ab56a2ef20126f30fc1f

Observation 92eb8eba-a42e-4c55-a648-2be0b895b711 · inbound

Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction cites this paper.

Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-07T11:31:51.432349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:31:51.432349Z digest=sha256:801fc09884719b7f4ce37a47fa67d72f6a30848e589f202de9b350641632c053

Observation 894d4df8-fe23-4dec-941b-d99e4976bbdf · inbound

CCLSTM: Coupled Convolutional Long-Short Term Memory Network for Occupancy Flow Forecasting cites this paper.

CCLSTM: Coupled Convolutional Long-Short Term Memory Network for Occupancy Flow Forecasting Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T06:02:58.233008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:02:58.233008Z digest=sha256:9a511083e06ae415f15132126513a0841eb8076e6ffa8adb5f4dfd84d8242612

Observation 86db0a91-35b5-4856-b044-c33b04f9f04c · inbound

Improving Traffic Signal Data Quality for the Waymo Open Motion Dataset cites this paper.

Improving Traffic Signal Data Quality for the Waymo Open Motion Dataset Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T05:45:19.871138Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:45:19.871138Z digest=sha256:b526db591f11af1f62bd56eb61c7f6967f2395c326778cf103cb0ef789ae026f

Observation 28a0473d-bdc0-4717-bebb-0aa1794f1ec3 · inbound

Using Language and Road Manuals to Inform Map Reconstruction for Autonomous Driving cites this paper.

Using Language and Road Manuals to Inform Map Reconstruction for Autonomous Driving Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T04:36:04.186872Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:36:04.186872Z digest=sha256:36dba5394b428419a8cb2d63e8a95c6e663ef9778068d07235b6d1c561f45ce1

Observation 330f0660-413a-4434-a7c1-bd793082d5a5 · inbound

Geometry-Guided Representations for Coherent Lane and Traffic Topology Reasoning in Driving Scenes cites this paper.

Geometry-Guided Representations for Coherent Lane and Traffic Topology Reasoning in Driving Scenes Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-15T20:02:25.855042Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:02:25.855042Z digest=sha256:0c453dff3c65a7a74164e494a046a64c5c7a00a55ddfb4707fbcef9a00e2070a

Observation be39ce5a-669e-43c3-8cf0-cb4d2ad3025c · inbound

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

A Survey on Vision-Language-Action Models for Autonomous Driving Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 133

Resolution
unresolved
no resolver link, observed 2026-08-06T21:31:04.790320Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:31:04.790320Z digest=sha256:1001edae4cf471592d2f41fd7d70a579a271f8ae6f08314cf83e666027bfa8ec

Observation e8ddf973-2678-41c1-b716-1cd3a79967fa · inbound

Box-QAymo: Box-Referring VQA Dataset for Autonomous Driving cites this paper.

Box-QAymo: Box-Referring VQA Dataset for Autonomous Driving Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-06T21:17:19.464931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:17:19.464931Z digest=sha256:b8b757f9ac07f27c94f8c9deec2e961e8842a23fb87d229f5b8af26800ad5ed9

Observation 204e1053-afdd-44d3-bc8e-fc04163f8879 · inbound

SRefiner: Soft-Braid Attention for Multi-Agent Trajectory Refinement cites this paper.

SRefiner: Soft-Braid Attention for Multi-Agent Trajectory Refinement Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-06T19:56:40.647284Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:56:40.647284Z digest=sha256:06bb5343ceacfcbbbc790c3d1dfc1b5c4601e913db73c0463e59eedcacd6eafe

Observation 8194a07b-6105-4ea5-8017-6c3b6a35636e · inbound

Beyond Features: How Dataset Design Influences Multi-Agent Trajectory Prediction Performance cites this paper.

Beyond Features: How Dataset Design Influences Multi-Agent Trajectory Prediction Performance Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-06T19:37:07.371652Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:37:07.371652Z digest=sha256:e3db8c2f144d8cea2d741cd48aeccfe3462a25aa6a67590a5a636ed6e2a8534b

Observation 7c3cf0e3-1857-480f-bcf5-a3b6e53a1634 · inbound

MGVQ: Could VQ-VAE Beat VAE? A Generalizable Tokenizer with Multi-group Quantization cites this paper.

MGVQ: Could VQ-VAE Beat VAE? A Generalizable Tokenizer with Multi-group Quantization Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-06T18:32:54.855897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:32:54.855897Z digest=sha256:60d8248d97a83cd4369209d14601c36ebff889846688c4153534982f183e13a9

Observation 5d2a152b-b0bc-4435-a03e-0305f46bc5d3 · inbound

OnlineBEV: Recurrent Temporal Fusion in Bird's Eye View Representations for Multi-Camera 3D Perception cites this paper.

OnlineBEV: Recurrent Temporal Fusion in Bird's Eye View Representations for Multi-Camera 3D Perception Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-06T18:17:14.557945Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:17:14.557945Z digest=sha256:207433840ca3e23d25c978626576cf111554ee1daa1a356f2f389478d961d614

Observation 23e30394-4db7-4c78-98e6-50f9d4c4e84e · inbound

RCG: Safety-Critical Scenario Generation for Robust Autonomous Driving via Real-World Crash Grounding cites this paper.

RCG: Safety-Critical Scenario Generation for Robust Autonomous Driving via Real-World Crash Grounding Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-06T17:34:03.531648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:34:03.531648Z digest=sha256:d7ecf45f432e01ea2fbdd5d1917875d36c7385244bb73b79ae6561d47f52bf20

Observation e1ee3617-7982-435f-b162-ca2e11fee85f · inbound

Foresight in Motion: Reinforcing Trajectory Prediction with Reward Heuristics cites this paper.

Foresight in Motion: Reinforcing Trajectory Prediction with Reward Heuristics Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-06T16:59:59.676544Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:59:59.676544Z digest=sha256:6b57d9a2cd4e7eceeedc1db637ea053d7ea455749deb58e03af29cf6069fc10e

Observation 6512ddd9-f0e8-489c-a309-d3f2a7628c4d · inbound

Why Braking? Scenario Extraction and Reasoning Utilizing LLM cites this paper.

Why Braking? Scenario Extraction and Reasoning Utilizing LLM Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-06T16:41:15.850805Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:41:15.850805Z digest=sha256:a0778cc6eb4c936f0241cfa97a5b474ae68d0ff5083fa34cbd917f2d6bb35f9d

Observation d40dfa34-711c-4f7a-81c7-f859becd5b95 · inbound

Goal-based Trajectory Prediction for improved Cross-Dataset Generalization cites this paper.

Goal-based Trajectory Prediction for improved Cross-Dataset Generalization Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-06T14:45:11.213960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:45:11.213960Z digest=sha256:32514de61e57fff4fd14226c620f6d88211f8e3faeef6956c1dbc7bae62908de

Observation 38272f45-57f4-4921-b2b7-ef78dc1a02bc · inbound

Progressive Bird's Eye View Perception for Safety-Critical Autonomous Driving: A Comprehensive Survey cites this paper.

Progressive Bird's Eye View Perception for Safety-Critical Autonomous Driving: A Comprehensive Survey Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 252

Resolution
unresolved
no resolver link, observed 2026-08-05T22:06:55.691815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:06:55.691815Z digest=sha256:69dbb6139ed3ea62fd4a9a344003b434d789d293f2614ff4e6f4c0bdf079b5db

Observation f7d86385-61c8-47a2-9294-e9bfb64efb43 · inbound

Generative AI for Testing of Autonomous Driving Systems: A Survey cites this paper.

Generative AI for Testing of Autonomous Driving Systems: A Survey Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 234

Resolution
unresolved
no resolver link, observed 2026-08-05T15:24:16.365196Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:24:16.365196Z digest=sha256:6e882fef68d9645f141530c004383e35483503ff400b9be886429913b3a1e88d

Observation eca932a1-7863-4ffc-b198-a8e908650562 · inbound

Mapping like a Skeptic: Probabilistic BEV Projection for Online HD Mapping cites this paper.

Mapping like a Skeptic: Probabilistic BEV Projection for Online HD Mapping Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-05T14:07:05.892878Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:07:05.892878Z digest=sha256:e54e6368e6849497d5d47f7d76449e939a7d1cee3ecbfef40a03c5a271341139

Observation 7d1dad3e-d04d-4902-94bf-f5f43fc9a396 · inbound

DriveQA: Passing the Driving Knowledge Test cites this paper.

DriveQA: Passing the Driving Knowledge Test Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 83

Resolution
unresolved
no resolver link, observed 2026-08-05T13:58:11.430459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:58:11.430459Z digest=sha256:829b038752d0bbb66db70c92942f429f442d63e7487aa45e0a1b4d17c57f3b13

Observation dda88e28-78df-4c61-9aef-0fba0757d2a1 · inbound

ProgD: Progressive Multi-scale Decoding with Dynamic Graphs for Joint Multi-agent Motion Forecasting cites this paper.

ProgD: Progressive Multi-scale Decoding with Dynamic Graphs for Joint Multi-agent Motion Forecasting Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-04T19:34:04.361016Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T19:34:04.361016Z digest=sha256:033875238f5e8c2555677448117bd596e61096064b40efc73bc40535583b4e71

Observation 5d25f9ad-1189-41a3-a381-bee385e72d4b · inbound

LaGen: Towards Autoregressive LiDAR Scene Generation cites this paper.

LaGen: Towards Autoregressive LiDAR Scene Generation Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-03T20:05:05.545532Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T20:05:05.545532Z digest=sha256:0d7f3df22c42de5dff415bd51d884a8668563cd99db6485278b054e60beee1a8

Observation 45d6b086-d380-4acd-8fa4-8b9c9ccadcb3 · inbound

Flux4D: Flow-based Unsupervised 4D Reconstruction cites this paper.

Flux4D: Flow-based Unsupervised 4D Reconstruction Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 54

Resolution
verified exact
local_arxiv, observed 2026-05-17T02:01:25.687863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-17T01:59:16.251640Z digest=sha256:d2445bb7cd403d5db69135bb9eefbaed557b93fb10150d75202b6d7e63684da3

Observation 444d6375-3d1b-425b-b199-89a16dc97d1c · inbound

DeepUrban: Interaction-Aware Trajectory Prediction and Planning for Automated Driving by Aerial Imagery cites this paper.

DeepUrban: Interaction-Aware Trajectory Prediction and Planning for Automated Driving by Aerial Imagery Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-03T10:19:43.761018Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:19:43.761018Z digest=sha256:6c795476106cfd885c618d5d9ccc61b90240ac94634061018190a3d52e42f15e

Observation e010b23a-7f4b-4ed9-8067-ca0d33ed041e · inbound

MetricAnything: Scaling Metric Depth Pretraining with Noisy Heterogeneous Sources cites this paper.

MetricAnything: Scaling Metric Depth Pretraining with Noisy Heterogeneous Sources Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 117

Resolution
unresolved
no resolver link, observed 2026-08-03T06:50:27.921118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T06:50:27.921118Z digest=sha256:9b9aed43a6f8d22134ef5fe90676499d7b3b32b5d589f995c10561d9a16b0348

Observation eec0e7d4-b548-4bfb-bd2a-09d3cf830cec · inbound

ScenicRules: An Autonomous Driving Benchmark with Multi-Objective Specifications and Abstract Scenarios cites this paper.

ScenicRules: An Autonomous Driving Benchmark with Multi-Objective Specifications and Abstract Scenarios Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-02T22:45:33.809998Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T22:45:33.809998Z digest=sha256:dea711de0623aa071a8b10b014c6049f05a40829d8f13bf29e1f3d392ce191ef

Observation 7aef8ccc-f8f3-42b9-a020-3b34dff0e49f · inbound

OpenVO: Open-World Visual Odometry with Temporal Dynamics Awareness cites this paper.

OpenVO: Open-World Visual Odometry with Temporal Dynamics Awareness Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 56

Resolution
verified exact
local_arxiv, observed 2026-05-15T20:56:37.264798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-15T20:52:28.543570Z digest=sha256:cc4025b34bab6f3b436e8a6a8e562d25d45cbdb620457f8af1fa5a5d9e431de0

Observation f4ecfa93-a11a-4dec-8cd0-44570a4885c8 · inbound

An interactive enhanced driving dataset for autonomous driving cites this paper.

An interactive enhanced driving dataset for autonomous driving Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-02T21:19:50.378791Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T21:19:50.378791Z digest=sha256:e9ba4a1a1e9d2bb0ed8c9396161a996627e560af93d91916398c562897e61fd5

Observation 253418ce-3479-4b09-a70a-87b75af40aa7 · inbound

TaCarla: A comprehensive benchmarking dataset for end-to-end autonomous driving cites this paper.

TaCarla: A comprehensive benchmarking dataset for end-to-end autonomous driving Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-02T20:21:32.011233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T20:21:32.011233Z digest=sha256:31571ece324fca2f5b9a944d8824f01124d5d7b6cb18aad8162e83b948674c6b

Observation b74bc429-3c7e-4e2a-8f06-37cc647baa7f · inbound

TopoMaskV3: 3D Mask Head with Dense Offset and Height Predictions for Road Topology Understanding cites this paper.

TopoMaskV3: 3D Mask Head with Dense Offset and Height Predictions for Road Topology Understanding Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 35

Resolution
verified exact
local_arxiv, observed 2026-05-15T18:06:25.306639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-15T18:04:49.834498Z digest=sha256:43ac713fd93d066c9978935e48b42b3862e7395eee900f8cecaf299f3f474df6

Observation a08bf785-1300-48b6-b0aa-a7e503511d8c · inbound

LongTail Driving Scenarios with Reasoning Traces: The KITScenes LongTail Dataset cites this paper.

LongTail Driving Scenarios with Reasoning Traces: The KITScenes LongTail Dataset Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 76

Resolution
metadata mismatch
local_arxiv, observed 2026-05-15T00:33:23.356860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-15T00:30:56.156113Z digest=sha256:de9724e0710392356da3335d95dbb56d3b0b809f81294303b2c137f17a7806f5

Observation 5a75f496-3513-4cdc-a707-fb49d1ff860a · inbound

Goal-Oriented Reactive Simulation for Closed-Loop Trajectory Prediction cites this paper.

Goal-Oriented Reactive Simulation for Closed-Loop Trajectory Prediction Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 48

Resolution
metadata mismatch
local_arxiv, observed 2026-05-15T00:58:26.212436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-15T00:55:01.446865Z digest=sha256:ed9bb85a198fa8851faa66127747eb4b0d4e6314ceafbf998b31f08af8ce1183

Observation 2713eb2c-32ff-4a05-9eed-241e0adbc464 · inbound

UniDAC: Universal Metric Depth Estimation for Any Camera cites this paper.

UniDAC: Universal Metric Depth Estimation for Any Camera Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 59

Resolution
verified exact
local_arxiv, observed 2026-05-14T22:33:10.603247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-14T22:29:43.630749Z digest=sha256:4b089ce047cfff2b5b0e0b807fdd2542f26d46fcf2904832b11b9e89cafd92a4

Observation 8bb06a4e-4e9b-48ee-b284-b93a0563c304 · inbound

Effort-Based Criticality Metrics for Evaluating 3D Perception Errors in Autonomous Driving cites this paper.

Effort-Based Criticality Metrics for Evaluating 3D Perception Errors in Autonomous Driving Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-02T17:10:34.527591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T17:10:34.527591Z digest=sha256:74e46e51f0549899c23467b0674099ff4f46b0ec99c727d7215c1d7d1b3a511a

Observation dfb27905-0794-4895-bb8e-65651663a06d · inbound

A global dataset of continuous urban dashcam driving cites this paper.

A global dataset of continuous urban dashcam driving Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 17

Resolution
verified exact
local_arxiv, observed 2026-05-13T22:33:21.586783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-13T22:30:38.665197Z digest=sha256:af7718f57a88262c147f01af7ac43e019396cf02e04f42e44ee0db9bf5098db6

Observation d275e5e7-c671-4a08-ace9-9e3d974bdf6f · inbound

RayMamba: Ray-Aligned Serialization for Long-Range 3D Object Detection cites this paper.

RayMamba: Ray-Aligned Serialization for Long-Range 3D Object Detection Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-05-13T20:28:14.007441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-13T20:25:42.586436Z digest=sha256:a7439f4765a7bda5c4555d9bfe883a5bcf94a72b6c27feabc1e0b425d6c24830

Observation 23983d52-e232-4151-82d5-bd31d693d766 · inbound

DSERT-RoLL: Robust Multi-Modal Perception for Diverse Driving Conditions with Stereo Event-RGB-Thermal Cameras, 4D Radar, and Dual-LiDAR cites this paper.

DSERT-RoLL: Robust Multi-Modal Perception for Diverse Driving Conditions with Stereo Event-RGB-Thermal Cameras, 4D Radar, and Dual-LiDAR Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 121

Resolution
unresolved
no resolver link, observed 2026-07-13T12:33:30.315581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T12:33:30.315581Z digest=sha256:3d1007b7cbec80b1e74b0ca761dbd1d1a1198d9e4d260c1fd3ba5614d39588ce

Observation f94b534e-db7d-4c41-97c4-6ef528a347a8 · inbound

LEAN-3D: Low-latency Hierarchical Point Cloud Codec for Mobile 3D Streaming cites this paper.

LEAN-3D: Low-latency Hierarchical Point Cloud Codec for Mobile 3D Streaming Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-05-12T20:16:37.618269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-10T19:07:07.744139Z digest=sha256:b74e37002cff13a55abdf19258940035f41b6285c4eb207310cfd4790631118e

Observation 1325241c-1d1f-49a5-ad45-029367f4d62f · inbound

HorizonWeaver: Generalizable Multi-Level Semantic Editing for Driving Scenes cites this paper.

HorizonWeaver: Generalizable Multi-Level Semantic Editing for Driving Scenes Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 59

Resolution
verified exact
arxiv_id, observed 2026-05-12T20:16:37.618269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-10T19:39:31.357223Z digest=sha256:28072ed671699fe4489ccea9990740a7a97440b2c6c17c0dceb4f5edeed02587

Observation 72247218-f6ec-4d5a-a9d2-e826dcf8f0a9 · inbound

Appearance Decomposition Gaussian Splatting for Multi-Traversal Reconstruction cites this paper.

Appearance Decomposition Gaussian Splatting for Multi-Traversal Reconstruction Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 66

Resolution
verified exact
arxiv_id, observed 2026-05-12T20:16:37.618269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-10T19:11:56.114485Z digest=sha256:dc8b85bc731bd2bd3c07220266157b3da4738f42a393e2ef57083e4a061c7012

Observation aad6d86f-b750-4196-acf2-1fb2854ba835 · inbound

Telescope: Learnable Hyperbolic Foveation for Ultra-Long-Range Object Detection cites this paper.

Telescope: Learnable Hyperbolic Foveation for Ultra-Long-Range Object Detection Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 47

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T20:16:37.618269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-10T18:46:48.550865Z digest=sha256:05515af6fe6401e50141e739f08ac130900fdfb980f97f5d05e2f5ce8e732bb1

Observation 3ab171c3-7cea-48be-8f14-1008f8a211d8 · inbound

Visually-grounded Humanoid Agents cites this paper.

Visually-grounded Humanoid Agents Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 101

Resolution
verified exact
arxiv_id, observed 2026-05-12T20:16:37.618269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-10T18:10:32.710853Z digest=sha256:2a43f795882a0b1d97040226fefa27753515d9ca9c8aa6f6684131d3636ed417

Observation e612862e-73db-4e81-9377-06d8a5f3b8be · inbound

WildDet3D: Scaling Promptable 3D Detection in the Wild cites this paper.

WildDet3D: Scaling Promptable 3D Detection in the Wild Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 57

Resolution
verified exact
arxiv_id, observed 2026-05-12T20:16:37.618269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-10T17:38:13.336003Z digest=sha256:f228fe71a36649b3b842f7c6633db9d425dc1c03b347ffdb3e06bba7e9635632

Observation f0cd0cd2-bd19-48e2-9c11-de0befaf987f · inbound

EagleVision: A Multi-Task Benchmark for Cross-Domain Perception in High-Speed Autonomous Racing cites this paper.

EagleVision: A Multi-Task Benchmark for Cross-Domain Perception in High-Speed Autonomous Racing Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-12T20:16:37.618269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-10T16:06:36.665959Z digest=sha256:9585673a611148c794832bff2ff2d4f15ac958be7e33feddcc2126c32d02db46

Observation a25096e6-9bb3-46f8-af0f-592c721ad54c · inbound

Artificial Intelligence for Modeling and Simulation of Mixed Automated and Human Traffic cites this paper.

Artificial Intelligence for Modeling and Simulation of Mixed Automated and Human Traffic Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-12T20:16:37.618269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-10T16:00:59.662003Z digest=sha256:018b26ac430a1fc4ecb41dbbfddde1d99897e27bb186726c3753fd831b74d9c7

Observation 7ade51ca-8639-45e4-afea-3beee8dfdc19 · inbound

EdgeVTP: Exploration of Latency-efficient Trajectory Prediction for Edge-based Embedded Vision Applications cites this paper.

EdgeVTP: Exploration of Latency-efficient Trajectory Prediction for Edge-based Embedded Vision Applications Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 75

Resolution
verified exact
arxiv_id, observed 2026-05-12T20:16:37.618269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-10T07:53:01.735375Z digest=sha256:7bc2d0d0b96ebfd1064841febc68dba566a68247e3c49462ea4fa974689f1709

Observation 9cb12d38-c935-4142-8ae4-2e00cf805963 · inbound

CAM3DNet: Comprehensively mining the multi-scale features for 3D Object Detection with Multi-View Cameras cites this paper.

CAM3DNet: Comprehensively mining the multi-scale features for 3D Object Detection with Multi-View Cameras Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-12T20:16:37.618269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-10T07:16:33.640040Z digest=sha256:183a630e08a28d9cf709235a93edb043e8fab23f10c6f0781fac992276e37972

Observation fbadf7a2-362d-4b78-ab4a-6b78f0b171bc · inbound

SemLT3D: Semantic-Guided Expert Distillation for Camera-only Long-Tailed 3D Object Detection cites this paper.

SemLT3D: Semantic-Guided Expert Distillation for Camera-only Long-Tailed 3D Object Detection Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 49

Resolution
verified exact
arxiv_id, observed 2026-05-12T20:16:37.618269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-10T05:53:11.157832Z digest=sha256:9e12a8df3d5ebebfecb369541169f9de402d02c514810f14970cab53932e032d

Observation a280d7c9-4cce-470b-9f87-d2cc183e1b08 · inbound

Xiaomi OneVL: One-Step Latent Reasoning and Planning with Vision-Language Explanation cites this paper.

Xiaomi OneVL: One-Step Latent Reasoning and Planning with Vision-Language Explanation Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 106

Resolution
verified exact
arxiv_id, observed 2026-05-12T20:16:37.618269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-10T05:42:41.112158Z digest=sha256:af7132f64f1862d92fa80a499cb1b55398e6337dd116e57657e9582194af0078

Observation ee6f52b6-f8c7-4e02-a3d3-7a6b5f6c51e8 · inbound

Xiaomi OneVL: One-Step Latent Reasoning and Planning with Vision-Language Explanation cites this paper.

Xiaomi OneVL: One-Step Latent Reasoning and Planning with Vision-Language Explanation Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 106

Resolution
verified exact
arxiv_id, observed 2026-05-12T20:16:37.618269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-12T00:54:23.508845Z digest=sha256:124b792d700815904385260a6badfac85f6b67481cf5b99b84a3884c9be57154

Observation 394db665-dbfb-44be-8c05-78dd583b88fa · inbound

EgoDyn-Bench: Evaluating Ego-Motion Understanding in Vision-Centric Foundation Models for Autonomous Driving cites this paper.

EgoDyn-Bench: Evaluating Ego-Motion Understanding in Vision-Centric Foundation Models for Autonomous Driving Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-05-12T20:16:37.618269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-10T00:09:18.068337Z digest=sha256:7d8dafbfc94675808c8e08c86b36ba69da04cee01ee773cbe6394648a483fde9

Observation 4e50b24b-68e3-43c1-85ea-669dc5e19a9a · inbound

VLM-VPI: A Vision-Language Reasoning Framework for Improving Automated Vehicle-Pedestrian Interactions cites this paper.

VLM-VPI: A Vision-Language Reasoning Framework for Improving Automated Vehicle-Pedestrian Interactions Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 20

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T20:16:37.618269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-08T02:18:56.169218Z digest=sha256:376396815b8369b0f704eb2d26e68b79ba0dd7d7bb453d280974e01f362aac3f

Observation a0cf1335-2c49-4d00-85dc-2e95830836b3 · inbound

TopoHR: Hierarchical Centerline Representation for Cyclic Topology Reasoning in Driving Scenes with Point-to-Instance Relations cites this paper.

TopoHR: Hierarchical Centerline Representation for Cyclic Topology Reasoning in Driving Scenes with Point-to-Instance Relations Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-12T20:16:37.618269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-08T04:36:06.381066Z digest=sha256:4d6a186151fb11a11d889d241d2954762d56800eb7c1786fedcfa0fcc480e203

Observation e2cabccb-8c33-4825-bfea-6dd798c19b66 · inbound

TopoHR: Hierarchical Centerline Representation for Cyclic Topology Reasoning in Driving Scenes with Point-to-Instance Relations cites this paper.

TopoHR: Hierarchical Centerline Representation for Cyclic Topology Reasoning in Driving Scenes with Point-to-Instance Relations Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 29

Resolution
verified exact
local_arxiv, observed 2026-07-01T09:05:36.937216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-01T08:57:30.883353Z digest=sha256:364816edbf866830ed8fb3a117d67b6ee71b075808a6d461fe8c068e66863f75

Observation ae461315-fe91-41e3-a51b-a81a31e1bb42 · inbound

TRIP-Evaluate: An Open Multimodal Benchmark for Evaluating Large Models in Transportation cites this paper.

TRIP-Evaluate: An Open Multimodal Benchmark for Evaluating Large Models in Transportation Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-12T20:16:37.618269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-09T20:13:06.376037Z digest=sha256:60a0728fde4dac1abda59711d95d0e04ec14411c554c7bf923ca7eaec9fba6f5

Observation 616c1cf4-7044-41b2-a850-3da95692cf19 · inbound

LIE: LiDAR-only HD Map Construction with Intensity Enhancement via Online Knowledge Distillation cites this paper.

LIE: LiDAR-only HD Map Construction with Intensity Enhancement via Online Knowledge Distillation Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-05-12T20:16:37.618269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-09T14:48:20.658662Z digest=sha256:a6663969d4a40271547d70d7962e158a3a223a0c9863d57644384d7fbd74e985

Observation a1cacbed-6b3c-4b52-9e48-4dab66260645 · inbound

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

Unified Map Prior Encoder for Mapping and Planning Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-12T20:16:37.618269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-08T18:15:31.806757Z digest=sha256:f6492876665a6ac3a5826c4d76dfce3402c0265051ae52e0651e69c4330b34d4

Observation 2457739b-7c5a-4346-823f-f16710d85898 · inbound

CARD: A Multi-Modal Automotive Dataset for Dense 3D Reconstruction in Challenging Road Topography cites this paper.

CARD: A Multi-Modal Automotive Dataset for Dense 3D Reconstruction in Challenging Road Topography Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 53

Resolution
verified exact
arxiv_id, observed 2026-05-12T20:16:37.618269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-08T18:12:18.801837Z digest=sha256:aa1443b2b7093e3d85465957b7ef6c9ce820f0eb1fb8fa8a7a4f753c0698fd6e

Observation a24b43a7-eb21-4e24-951b-3ef2bc8a2d87 · inbound

Unified Modeling of Lane and Lane Topology for Driving Scene Reasoning cites this paper.

Unified Modeling of Lane and Lane Topology for Driving Scene Reasoning Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-12T20:16:37.618269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-12T02:02:43.011302Z digest=sha256:21ba30a9c0053b560ff9e5f53257d841f8907eb38284de6606faac3e35c9b310

Observation 2e34ba4f-d02a-481d-bcc1-e560486b9502 · inbound

AtteConDA: Attention-Based Conflict Suppression in Multi-Condition Diffusion Models and Synthetic Data Augmentation cites this paper.

AtteConDA: Attention-Based Conflict Suppression in Multi-Condition Diffusion Models and Synthetic Data Augmentation Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 87

Resolution
verified exact
arxiv_id, observed 2026-05-12T20:16:37.618269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-12T02:38:11.071221Z digest=sha256:d53aeb2434042307114ad3133a2d0b03ca88c9f3a1982c1df19fc4912476e255

Observation a5537c24-6061-4aa2-9d21-e1e6d3c83d2c · inbound

GSMap: 2D Gaussians for Online HD Mapping cites this paper.

GSMap: 2D Gaussians for Online HD Mapping Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 32

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T20:16:37.618269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-12T02:14:26.141818Z digest=sha256:a697a8b11fe8d48da3b9e6bcb6536c2ddcc9e6f592a181dadf5207d873ddc868

Observation efb6bc20-6206-4778-a1ab-688f8b5a94eb · inbound

MUSDA: Multi-source Multi-modality Unsupervised Domain Adaptive 3D Object Detection for Autonomous Driving cites this paper.

MUSDA: Multi-source Multi-modality Unsupervised Domain Adaptive 3D Object Detection for Autonomous Driving Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-12T20:16:37.618269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-12T03:35:29.153803Z digest=sha256:ffae741da698c6b3ada0423f938a8bc0bb0660bca4740e8caed30ace8f759ed9

Observation b8baebbd-3228-4618-8c7c-d192b8c478cc · inbound

Unlocking Dense Metric Depth Estimation in VLMs cites this paper.

Unlocking Dense Metric Depth Estimation in VLMs Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 59

Resolution
verified exact
local_arxiv, observed 2026-05-20T19:23:40.944169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-20T19:20:04.468206Z digest=sha256:c49ce14a2d5448d5d9a7f9c0bc2ee81e4a50783633f19a236af87f48879af44c

Observation 3b96b6a2-c159-4ee8-b4c5-1df382a5e836 · inbound

Unlocking Dense Metric Depth Estimation in VLMs cites this paper.

Unlocking Dense Metric Depth Estimation in VLMs Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 65

Resolution
verified exact
local_arxiv, observed 2026-05-21T07:59:51.167718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-21T07:54:52.926995Z digest=sha256:585cbe55d2f52ce4876d2defcdc8067ff45436ac475097fb4d625593ef6896e8

Observation 6c16ef65-ea83-42b2-87fd-a5792c668eaa · inbound

Generating Realistic Safety-Critical Scenarios for Vehicle-Pedestrian Interactions cites this paper.

Generating Realistic Safety-Critical Scenarios for Vehicle-Pedestrian Interactions Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 18

Resolution
metadata mismatch
local_arxiv, observed 2026-05-20T13:38:19.085558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-20T13:37:33.910175Z digest=sha256:ecc38a401b3659e84762e951cefa9020b8e06cfe6b8d04df13484cd00de6cac4

Observation d57c65b8-7029-40df-89b7-9999c5cd116c · inbound

4DLidarOpen: An Open 4D FMCW Lidar Dataset for Motion-Aware Autonomous Driving cites this paper.

4DLidarOpen: An Open 4D FMCW Lidar Dataset for Motion-Aware Autonomous Driving Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 75

Resolution
verified exact
local_arxiv, observed 2026-05-20T10:08:12.260794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-20T10:06:30.679915Z digest=sha256:1acda66d254a064e4a39dc5b33b5aa3fed48bb5af87d95e280f138de684ef01e

Observation d67335fe-cc8d-417c-bfa3-5f6d4747baa3 · inbound

Guiding Neuro-Symbolic Scenario Generation with Spatio-Temporal Logic cites this paper.

Guiding Neuro-Symbolic Scenario Generation with Spatio-Temporal Logic Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 26

Resolution
verified exact
local_arxiv, observed 2026-05-20T09:18:10.167654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-20T09:15:11.745281Z digest=sha256:05bc56fc78e7de9e0803f56308e66af6b9cff599b73293d0f55c19070178b4fc

Observation bed5c9a7-24fe-48c8-8df2-5369ad3c55d8 · inbound

STELLAR: Scaling 3D Perception Large Models for Autonomous Driving cites this paper.

STELLAR: Scaling 3D Perception Large Models for Autonomous Driving Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 36

Resolution
metadata mismatch
local_arxiv, observed 2026-05-21T07:14:02.659235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-21T07:09:55.202236Z digest=sha256:f227c00a5bfebf5af5221ea6ba7c179f7506c49e0a404baba8bfdc36e4069a2e

Observation d675c80b-9fa0-41fa-9bb7-8a54de9d110e · inbound

Mode-as-Sequence: Translating Multimodal Motion Prediction into Unified Sequential Mode Modeling cites this paper.

Mode-as-Sequence: Translating Multimodal Motion Prediction into Unified Sequential Mode Modeling Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-06-30T17:24:57.749856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-30T17:17:45.979250Z digest=sha256:708f16abc4b577505c7a7f0a0c65e2e8b70522f6f39480c2ac6f5f95853a8814

Observation 5fc3c743-84ca-4b53-bfb3-74e570ebaf62 · inbound

Modeling Vehicle-Type-Specific Pedestrian Crash Avoidance Behavior in Safety-Critical Interactions Using Smooth-Mamba Deep Reinforcement Learning cites this paper.

Modeling Vehicle-Type-Specific Pedestrian Crash Avoidance Behavior in Safety-Critical Interactions Using Smooth-Mamba Deep Reinforcement Learning Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 10

Resolution
metadata mismatch
local_arxiv, observed 2026-06-29T12:23:24.604126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-29T12:14:20.294339Z digest=sha256:38196b4c56a1f4cbec4c4faa65e92dabd74062ab191369d2cf4052be051e2891