Pith. sign in

Paper Citation Record · LEDGER

RealDriveSim: A Realistic Multi-Modal Multi-Task Synthetic Dataset for Autonomous Driving

As of 15 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 1 inbound Pith citation observation for arXiv:2506.16319.

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

pith.paper-citation-record.v1
2506.16319 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:49:04.849529Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T17:47:04.479788Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

37 of 37 outbound references displayed

  • verified exact1
  • verified fuzzy28
  • unresolved8
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d1f8d4b6-9bc3-4864-9bc7-e5b4e1502c52 · outbound

This paper cites A survey on multi-task learning,.

RealDriveSim: A Realistic Multi-Modal Multi-Task Synthetic Dataset for Autonomous Driving A survey on multi-task learning,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:49:10.301563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T23:49:00.196387Z digest=sha256:5aded37fb5dfcd92740e4ab63b7edceb8002691c6515660744bbd8b7e07b6888

Observation 10787ba4-bdb1-47c6-8e91-39fac8914943 · outbound

This paper cites Improving point cloud semantic segmentation by learning 3d object detection,.

RealDriveSim: A Realistic Multi-Modal Multi-Task Synthetic Dataset for Autonomous Driving Improving point cloud semantic segmentation by learning 3d object detection,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:49:09.993727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T23:49:00.275492Z digest=sha256:041079a9be298e72e9bafd3bff8dc9f145ab27272b2d8259c20261934acbfb07

Observation 42ab3ceb-d810-482c-a716-2cb5284b7c30 · outbound

This paper cites Mult: An end-to-end multitask learning transformer,.

RealDriveSim: A Realistic Multi-Modal Multi-Task Synthetic Dataset for Autonomous Driving Mult: An end-to-end multitask learning transformer,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:49:09.758044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T23:49:00.444741Z digest=sha256:29d9408d0de8781666a9dc1fb76bfcc3cdc87f172ddb795c60898859ff53268c

Observation cb8bbe3f-8b7b-4347-b5db-b207fa54c7c2 · outbound

This paper cites Deepfusion: Lidar-camera deep fusion for multi-modal 3d object detection,.

RealDriveSim: A Realistic Multi-Modal Multi-Task Synthetic Dataset for Autonomous Driving Deepfusion: Lidar-camera deep fusion for multi-modal 3d object detection,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:49:09.543025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T23:49:00.588516Z digest=sha256:cf9288bb1f25259aa3f38b1a980222cdb7f7080956c73de2a1c70e55e0f6e5e8

Observation 56d54950-a845-4d33-bcbe-9fdfbc6e741d · outbound

This paper cites Scribble-supervised lidar semantic segmentation,.

RealDriveSim: A Realistic Multi-Modal Multi-Task Synthetic Dataset for Autonomous Driving Scribble-supervised lidar semantic segmentation,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:49:09.254662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T23:49:00.714773Z digest=sha256:abb70dbd8c65991939ff22457fd02c448427eb2dfd5f05d222bfe0b6aae3b27e

Observation 65bf03da-89a0-4b32-8284-965a58158123 · outbound

This paper cites Weakly supervised semantic point cloud segmentation: Towards 10x fewer labels,.

RealDriveSim: A Realistic Multi-Modal Multi-Task Synthetic Dataset for Autonomous Driving Weakly supervised semantic point cloud segmentation: Towards 10x fewer labels,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:49:09.127023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T23:49:00.827057Z digest=sha256:604b1b0dab0c5de33526300a6aebf4d05b5fb6316085e2daa9bb71525d21e641

Observation 000cdb28-51d3-4ed7-b4ed-04ab7adcbbbe · outbound

This paper cites Weakly supervised semantic segmentation for large-scale point cloud,.

RealDriveSim: A Realistic Multi-Modal Multi-Task Synthetic Dataset for Autonomous Driving Weakly supervised semantic segmentation for large-scale point cloud,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:49:08.980979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T23:49:00.928765Z digest=sha256:6cd2b51e2ede0a55142400f14e46444c1ac03a0cb4c4334603f2b7840e60f9f3

Observation 8d216d1f-a4e9-44d0-8eaf-fee6fcdcdcfb · outbound

This paper cites Discwise active learning for lidar semantic segmentation,.

RealDriveSim: A Realistic Multi-Modal Multi-Task Synthetic Dataset for Autonomous Driving Discwise active learning for lidar semantic segmentation,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:49:08.830835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T23:49:01.044192Z digest=sha256:5a4a7420e6a2133e55b6e8f6af3d39c5d2cc8f9b91f3fd53b6a9a3ed2f2ad88e

Observation 60413ebf-0a5c-4b4e-9a91-3a09d732fc41 · outbound

This paper cites Semi-supervised semantic segmentation using unreliable pseudo-labels,.

RealDriveSim: A Realistic Multi-Modal Multi-Task Synthetic Dataset for Autonomous Driving Semi-supervised semantic segmentation using unreliable pseudo-labels,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:49:08.723431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T23:49:01.087984Z digest=sha256:c6376867d7999d4d71422b4c8625554e0acdc2ec4c6c0a81a9cab0206a64e065

Observation 4c7b31f5-2816-4124-b0e4-14b8e67eba85 · outbound

This paper cites Semi-supervised semantic segmentation with error localization network,.

RealDriveSim: A Realistic Multi-Modal Multi-Task Synthetic Dataset for Autonomous Driving Semi-supervised semantic segmentation with error localization network,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:49:08.604963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T23:49:01.177115Z digest=sha256:a9878286c1491d5769e1bfc657ab90d0aebfe50f9b8123fbf4d2e6899200d786

Observation e2b72ac3-3f4b-455a-9283-6fb1ef203d83 · outbound

This paper cites Playing for data: Ground truth from computer games,.

RealDriveSim: A Realistic Multi-Modal Multi-Task Synthetic Dataset for Autonomous Driving Playing for data: Ground truth from computer games,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:49:08.474082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T23:49:01.313045Z digest=sha256:c7449c4bff17f97cf968d0fdabb3c165fabc8d2a4b6f0ebba0f7f3ae3eadbd36

Observation 0c1251a5-017c-458a-95ea-05249874bfb1 · outbound

This paper cites Playing for benchmarks,.

RealDriveSim: A Realistic Multi-Modal Multi-Task Synthetic Dataset for Autonomous Driving Playing for benchmarks,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:49:08.324409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T23:49:01.437787Z digest=sha256:b57712f82b8ba60c0064842c7c3b4f21b0845fbc634ede351bfc96a52e7ed8b3

Observation 213afd60-30dc-4aa0-86a0-d3cca5115810 · outbound

This paper cites Precise synthetic image and lidar (presil) dataset for autonomous vehicle perception,.

RealDriveSim: A Realistic Multi-Modal Multi-Task Synthetic Dataset for Autonomous Driving Precise synthetic image and lidar (presil) dataset for autonomous vehicle perception,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:49:08.200866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T23:49:01.583909Z digest=sha256:45cc36f0060eebb399e6a8f3f2b63c12610eec5236a6395bdf3313db0c78c24d

Observation 6df5af13-37f3-441d-8784-51f6db1cf78d · outbound

This paper cites CARLA: An open urban driving simulator,.

RealDriveSim: A Realistic Multi-Modal Multi-Task Synthetic Dataset for Autonomous Driving CARLA: An open urban driving simulator,

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T23:49:01.693157Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:01.693157Z digest=sha256:0f7321bedcb7258ca9419a000e8b708901e23f7410c59cd9c8a88ed9c04a1c04

Observation 3c2332b5-e7f5-4354-b9cf-a812b958eba4 · outbound

This paper cites Shift: a synthetic driving dataset for continuous multi-task domain adaptation,.

RealDriveSim: A Realistic Multi-Modal Multi-Task Synthetic Dataset for Autonomous Driving Shift: a synthetic driving dataset for continuous multi-task domain adaptation,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:49:08.059661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T23:49:01.910711Z digest=sha256:40836267d8701adc993a9ef56ab70f3ee7781af539758eb6abbbff1cf8a167ac

Observation 057f057c-3de5-406e-a395-e7adafc48eb0 · outbound

This paper cites Idda: A large- scale multi-domain dataset for autonomous driving,.

RealDriveSim: A Realistic Multi-Modal Multi-Task Synthetic Dataset for Autonomous Driving Idda: A large- scale multi-domain dataset for autonomous driving,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:49:07.905467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T23:49:01.981609Z digest=sha256:ad7c2d4056fd39a844634f39d32f6aca905e1b8824e6a5329e3ee524280caab4

Observation 0d9a5429-de08-4084-8d24-516bfd8b90d6 · outbound

This paper cites Synwoodscape: Synthetic surround-view fisheye camera dataset for autonomous driving,.

RealDriveSim: A Realistic Multi-Modal Multi-Task Synthetic Dataset for Autonomous Driving Synwoodscape: Synthetic surround-view fisheye camera dataset for autonomous driving,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:49:07.787500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T23:49:02.207669Z digest=sha256:4837d2014c147d96a75caeef41d74fccb65a2878c1be21619fe59c283bf3953d

Observation 5ebe733a-6b82-4c65-83d0-266750a75484 · outbound

This paper cites Amodalsynthdrive: A synthetic amodal perception dataset for au- tonomous driving,.

RealDriveSim: A Realistic Multi-Modal Multi-Task Synthetic Dataset for Autonomous Driving Amodalsynthdrive: A synthetic amodal perception dataset for au- tonomous driving,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:49:07.653939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T23:49:02.334954Z digest=sha256:1b3d6bf7da196a7d9f8cab681149759166d2e0726129e468b7ea2a6649202ac9

Observation f05c5a79-15d4-47c5-b558-4debfff79227 · outbound

This paper cites The cityscapes dataset for semantic urban scene understanding,.

RealDriveSim: A Realistic Multi-Modal Multi-Task Synthetic Dataset for Autonomous Driving The cityscapes dataset for semantic urban scene understanding,

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-06T23:49:02.442057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:02.442057Z digest=sha256:71d5fc1f776610a289ecffe620cab0aa8f15b3b5868057cb82ca76dbb3d9b32f

Observation f1a03ea2-d200-4da0-ac39-1053af453ff3 · outbound

This paper cites Idd: A dataset for exploring problems of autonomous navigation in unconstrained environments,.

RealDriveSim: A Realistic Multi-Modal Multi-Task Synthetic Dataset for Autonomous Driving Idd: A dataset for exploring problems of autonomous navigation in unconstrained environments,

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-06T23:49:02.578257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:02.578257Z digest=sha256:ac60466200cb28a7b67ef4aa4377677c5aeea24ceef3c655ff05524a77d5f239

Observation 820a1708-6a55-47ca-95fb-d67456e7c37d · outbound

This paper cites Bdd100k: A diverse driving dataset for heterogeneous multitask learning,.

RealDriveSim: A Realistic Multi-Modal Multi-Task Synthetic Dataset for Autonomous Driving Bdd100k: A diverse driving dataset for heterogeneous multitask learning,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:49:07.488305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T23:49:02.713610Z digest=sha256:830d7ef2e56eb584629a95168ab7eb3a9a2ecb046d4131c8496310c1698c5e5a

Observation 039fcd01-944f-402d-86cf-3b123d038041 · outbound

This paper cites Acdc: The adverse conditions dataset with correspondences for robust semantic driving scene perception,.

RealDriveSim: A Realistic Multi-Modal Multi-Task Synthetic Dataset for Autonomous Driving Acdc: The adverse conditions dataset with correspondences for robust semantic driving scene perception,

Reference 22

Resolution
verified exact
raw_fallback, observed 2026-08-06T23:49:05.293073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T23:49:02.874936Z digest=sha256:d3d56c2f17c64ee8ed895e4c3b377adbe951965bcd50fa7ba2e3aeb1a0f07e68

Observation 5c7cc231-a28f-4c77-937d-2c0bdc98c544 · outbound

This paper cites Advent: Adversarial entropy minimization for domain adaptation in semantic segmentation,.

RealDriveSim: A Realistic Multi-Modal Multi-Task Synthetic Dataset for Autonomous Driving Advent: Adversarial entropy minimization for domain adaptation in semantic segmentation,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:49:07.298678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T23:49:02.952543Z digest=sha256:56114cac73a330ef44b439151eb3c109d4e09460c1c5b8f080d65af0f2e58da7

Observation 0a639ed2-5c02-4bc0-bc80-d3262c9ab99a · outbound

This paper cites Daformer: Improving network architectures and training strategies for domain-adaptive semantic segmentation,.

RealDriveSim: A Realistic Multi-Modal Multi-Task Synthetic Dataset for Autonomous Driving Daformer: Improving network architectures and training strategies for domain-adaptive semantic segmentation,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:49:07.114728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T23:49:03.067942Z digest=sha256:03398b1a5473820f645da706138b3a9865260b25a7304c913028159f8ad847ff

Observation 395bdf58-881c-44ad-93fc-68ddf1f50104 · outbound

This paper cites Reliability in semantic segmentation: Can we use synthetic data?.

RealDriveSim: A Realistic Multi-Modal Multi-Task Synthetic Dataset for Autonomous Driving Reliability in semantic segmentation: Can we use synthetic data?

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:49:06.839839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T23:49:03.186683Z digest=sha256:ac8016984fdaffce55c250519dc84b556c421ccedf38fd44c66e78b7b07f1e82

Observation 15c1b81a-6d5f-48ea-98d4-44d84643226e · outbound

This paper cites The synthia dataset: A large collection of synthetic images for semantic segmentation of urban scenes,.

RealDriveSim: A Realistic Multi-Modal Multi-Task Synthetic Dataset for Autonomous Driving The synthia dataset: A large collection of synthetic images for semantic segmentation of urban scenes,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:49:06.653724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T23:49:03.296117Z digest=sha256:58c03e085fd904e55d97908077685645ddede65b88056714c321573a75af3458

Observation cbb67b36-dfc0-4e86-9d24-207873cdd04c · outbound

This paper cites Transfer learning from synthetic to real lidar point cloud for semantic segmentation,.

RealDriveSim: A Realistic Multi-Modal Multi-Task Synthetic Dataset for Autonomous Driving Transfer learning from synthetic to real lidar point cloud for semantic segmentation,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:49:06.403987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T23:49:03.411374Z digest=sha256:d42fcaa936114244f10828e528763a74fab4d66012ea3cd7f2eb18066d8bb465

Observation f22d7516-38bc-43a8-8b8f-960708da0952 · outbound

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

RealDriveSim: A Realistic Multi-Modal Multi-Task Synthetic Dataset for Autonomous Driving Semantickitti: A dataset for semantic scene understanding of lidar sequences,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:49:06.105377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T23:49:03.536603Z digest=sha256:b6852978066791f3a8029292194642ad6e7a0a10a67f28984263b7619a953844

Observation 20d0cac0-1982-4231-974d-042bf1fe8190 · outbound

This paper cites Semanticposs: A point cloud dataset with large quantity of dynamic instances,.

RealDriveSim: A Realistic Multi-Modal Multi-Task Synthetic Dataset for Autonomous Driving Semanticposs: A point cloud dataset with large quantity of dynamic instances,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:49:05.945367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T23:49:03.652407Z digest=sha256:96938688fccdad2d9834fb4b7a893667293c4622edb8aaf12eb8aabe7a6e5a9d

Observation d15c0c1f-2c14-4b0f-bb7b-cfc54e72fa2d · outbound

This paper cites Are we ready for autonomous driving? the kitti vision benchmark suite,.

RealDriveSim: A Realistic Multi-Modal Multi-Task Synthetic Dataset for Autonomous Driving Are we ready for autonomous driving? the kitti vision benchmark suite,

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-06T23:49:03.758648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:03.758648Z digest=sha256:3b646ffe72697abb14da05a9cd3de5f432bc8011c248488f2d8891e960e6da5c

Observation 3f8aaf9a-85f2-40ab-bee8-e9fe8c8559f9 · outbound

This paper cites Synscapes: A Photorealistic Synthetic Dataset for Street Scene Parsing.

RealDriveSim: A Realistic Multi-Modal Multi-Task Synthetic Dataset for Autonomous Driving Synscapes: A Photorealistic Synthetic Dataset for Street Scene Parsing

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-06T23:49:03.958515Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:03.958515Z digest=sha256:42b9804e53041da67acff1a075c4520af5e685f559650a414157d3f1b24970a2

Observation 866f72e4-4fb2-403d-a62b-7e5dbafa4fca · outbound

This paper cites 4d spatio-temporal convnets: Minkowski convolutional neural networks,.

RealDriveSim: A Realistic Multi-Modal Multi-Task Synthetic Dataset for Autonomous Driving 4d spatio-temporal convnets: Minkowski convolutional neural networks,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:49:05.778953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T23:49:04.088336Z digest=sha256:c4ba264ae062ce329e6c9e1e7be6e730775539a66eb103ec9aef9f944d33648b

Observation bc8138f9-cb9b-4554-b6db-3546638197ec · outbound

This paper cites Second: Sparsely embedded convolutional detection,.

RealDriveSim: A Realistic Multi-Modal Multi-Task Synthetic Dataset for Autonomous Driving Second: Sparsely embedded convolutional detection,

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-06T23:49:04.250194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:04.250194Z digest=sha256:04d85fddf37d56d051573d264b2d6199cf24c383ea26b3b44a1d5bc1f28cd959

Observation e5ba82a0-109d-43ec-91bc-6abff533c5f1 · outbound

This paper cites Openpcdet: An open-source toolbox for 3d object detec- tion from point clouds,.

RealDriveSim: A Realistic Multi-Modal Multi-Task Synthetic Dataset for Autonomous Driving Openpcdet: An open-source toolbox for 3d object detec- tion from point clouds,

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-06T23:49:04.397068Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:04.397068Z digest=sha256:3a9f714aea33eeeeb1e94599e136a3245e67d51d98a74e7e7ed9a5cb2f63b535

Observation 2cd80549-b693-4666-a4e7-97c72a6bdc76 · outbound

This paper cites MMDetection: Open MMLab Detection Toolbox and Benchmark.

RealDriveSim: A Realistic Multi-Modal Multi-Task Synthetic Dataset for Autonomous Driving MMDetection: Open MMLab Detection Toolbox and Benchmark

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-06T23:49:04.514284Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:04.514284Z digest=sha256:3928ef0ce4dc6777903af580da79148a43a19237fa436fd81342690330ba5dbe

Observation cb3931bf-3b8d-4aa2-9fca-f0400cbf3b4d · outbound

This paper cites Faster r-cnn: Towards real-time object detection with region proposal networks,.

RealDriveSim: A Realistic Multi-Modal Multi-Task Synthetic Dataset for Autonomous Driving Faster r-cnn: Towards real-time object detection with region proposal networks,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:49:05.672744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T23:49:04.658365Z digest=sha256:89730ae84d71f937be81d86dca36eb28320ee26eddbfd5a064e16bdb65c9e372

Observation aa4d0c58-ab8e-401f-9bdb-4d5823a80a9b · outbound

This paper cites Segformer: Simple and efficient design for semantic segmentation with transformers,.

RealDriveSim: A Realistic Multi-Modal Multi-Task Synthetic Dataset for Autonomous Driving Segformer: Simple and efficient design for semantic segmentation with transformers,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:49:05.494957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T23:49:04.849529Z digest=sha256:0ea2c7af3bd198155c25729f9844c35066ff5d646f7ab3346280bb84f0067d42

Pith citing papers

Observation 51be728d-9131-40f7-84b3-80dac9797d0a · inbound

GeoWorldAD: Geometry World Action Model for Autonomous Driving cites this paper.

GeoWorldAD: Geometry World Action Model for Autonomous Driving RealDriveSim: A Realistic Multi-Modal Multi-Task Synthetic Dataset for Autonomous Driving

Reference 80

Resolution
unresolved
no resolver link, observed 2026-08-01T17:47:04.479788Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T17:47:04.479788Z digest=sha256:e82cc2729d18ff8e48eb912af791c5d359b9946753f8d4a8523a9fb7023981e0