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Paper Citation Record · LEDGER

Parallel Neural Computing for Scene Understanding from LiDAR Perception in Autonomous Racing

As of 23 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2412.18165.

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

pith.paper-citation-record.v1
2412.18165 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T05:02:10.206508Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

23 of 23 outbound references displayed

  • verified exact0
  • verified fuzzy18
  • unresolved5
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 162f725f-09b0-41da-a1f5-f6128aad6846 · outbound

This paper cites nuscenes: A multimodal dataset for autonomous driving.

Parallel Neural Computing for Scene Understanding from LiDAR Perception in Autonomous Racing nuscenes: A multimodal dataset for autonomous driving

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:02:10.103208Z digest=sha256:645941349862a87592cda13406a7aefadacaeb5d81e69cd1ac0b86bf6db52895

Observation f17dcb67-c874-4ab3-8032-73d832e89ec2 · outbound

This paper cites Bevmap: Map-aware bev modeling for 3d perception.

Parallel Neural Computing for Scene Understanding from LiDAR Perception in Autonomous Racing Bevmap: Map-aware bev modeling for 3d perception

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T05:02:10.108594Z digest=sha256:b73b3376ae0c6a282a951066774728dd195eed65a7c482666fbde7b27f288ddb

Observation 1cfaa19d-b684-4787-ab68-f3eee3dbedea · outbound

This paper cites Lookout: Diverse multi-future prediction and planning for self-driving.

Parallel Neural Computing for Scene Understanding from LiDAR Perception in Autonomous Racing Lookout: Diverse multi-future prediction and planning for self-driving

Reference 3

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:02:10.113579Z digest=sha256:db12e733a8c8612a9ea1024a46bc36e0bc13c4f63fc983570b63526817a2f8db

Observation acaaa5f9-d0df-423b-89fb-34f5d9f1bc85 · outbound

This paper cites Gpu computing revolution: Cuda.

Parallel Neural Computing for Scene Understanding from LiDAR Perception in Autonomous Racing Gpu computing revolution: Cuda

Reference 4

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raw_fallback, observed 2026-08-11T05:02:10.526810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T05:02:10.118391Z digest=sha256:bbeaa6d739f7d05a7a262c8184ad876cfcdf855adafd114d571b134184c5fc46

Observation 0c35a8ab-6782-4ed3-bbe2-b1fce5690afd · outbound

This paper cites Carla: An open urban driving simulator.

Parallel Neural Computing for Scene Understanding from LiDAR Perception in Autonomous Racing Carla: An open urban driving simulator

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T05:02:10.123227Z digest=sha256:6018ec55a6478ea7ef5af83d4c38e9170b27efac3ca1446cc0ee0b1c5fdfd92b

Observation fecf77d4-830f-4d6a-8805-d8ba59568b31 · outbound

This paper cites Probabilistic future prediction for video scene understanding.

Parallel Neural Computing for Scene Understanding from LiDAR Perception in Autonomous Racing Probabilistic future prediction for video scene understanding

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T05:02:10.128420Z digest=sha256:d6dc448fdf891ed71523da2c874e44b88d9605bc75f6b9b6216156619ac2e060

Observation 6ae8aa35-53cc-4375-91f3-e990eaca4fe9 · outbound

This paper cites Expert Human-Level Driving in Gran Turismo Sport Using Deep Reinforcement Learning with Image-based Representation.

Parallel Neural Computing for Scene Understanding from LiDAR Perception in Autonomous Racing Expert Human-Level Driving in Gran Turismo Sport Using Deep Reinforcement Learning with Image-based Representation

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:02:10.133548Z digest=sha256:c95880467f9e4e7091838b4c37ea13a304288e892e872b667f6b5d8ce7ff304e

Observation ee61f6ba-eb40-4fe4-bcfb-19cbee503a32 · outbound

This paper cites Stfp: Simultaneous traffic scene forecasting and planning for au- tonomous driving.

Parallel Neural Computing for Scene Understanding from LiDAR Perception in Autonomous Racing Stfp: Simultaneous traffic scene forecasting and planning for au- tonomous driving

Reference 8

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verified fuzzy
raw_fallback, observed 2026-08-11T05:02:10.479825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T05:02:10.138979Z digest=sha256:2da9bf8f7aa534cd50133d76b1b6719054f3490d8ea141be52e7b39c20dc671d

Observation ec32f15f-c8db-4181-b672-e6e8b41dedc3 · outbound

This paper cites Racecar-the dataset for high-speed autonomous racing.

Parallel Neural Computing for Scene Understanding from LiDAR Perception in Autonomous Racing Racecar-the dataset for high-speed autonomous racing

Reference 9

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verified fuzzy
raw_fallback, observed 2026-08-11T05:02:10.464754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T05:02:10.143670Z digest=sha256:5c760312fd225235f21001fb9a0bb0f921d6860db3877a12ece9efa3f01050a9

Observation a4bd5860-be19-45fc-a49f-5a18524afaee · outbound

This paper cites Feature pyramid networks for object detection.

Parallel Neural Computing for Scene Understanding from LiDAR Perception in Autonomous Racing Feature pyramid networks for object detection

Reference 10

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:02:10.148348Z digest=sha256:168d06e72a02563b37555c90b289b45007d8c9f4555c1a179c59554ab30cec98

Observation ab6301d2-fb33-43d8-9ae9-97fa25e45f1a · outbound

This paper cites Learning to overtake in torcs using simple reinforcement learning.

Parallel Neural Computing for Scene Understanding from LiDAR Perception in Autonomous Racing Learning to overtake in torcs using simple reinforcement learning

Reference 11

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raw_fallback, observed 2026-08-11T05:02:10.438821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T05:02:10.152625Z digest=sha256:f640fe4598102c339d3ea32eed644c7a64a278231696d5e41abce4f0ed195e61

Observation 778ff499-404b-49b5-8583-5e31ffd48e55 · outbound

This paper cites Predicting future instance segmentation by forecasting convolutional features.

Parallel Neural Computing for Scene Understanding from LiDAR Perception in Autonomous Racing Predicting future instance segmentation by forecasting convolutional features

Reference 12

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verified fuzzy
raw_fallback, observed 2026-08-11T05:02:10.423666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T05:02:10.157011Z digest=sha256:a3c7a22e157af23be75589900b067d579508f7eff5a75878ddcb547b98d11603

Observation 31f36281-6af1-44fa-97eb-a42dd1eb6905 · outbound

This paper cites Gpu accelerated computing–from hype to mainstream, the rebirth of vector computing.

Parallel Neural Computing for Scene Understanding from LiDAR Perception in Autonomous Racing Gpu accelerated computing–from hype to mainstream, the rebirth of vector computing

Reference 13

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verified fuzzy
raw_fallback, observed 2026-08-11T05:02:10.408394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 5090b9a8-8197-4b15-be6e-64fbf290a2d3 · outbound

This paper cites Vision-based semantic segmentation in scene understanding for autonomous driving: Recent achievements, challenges, and outlooks.

Parallel Neural Computing for Scene Understanding from LiDAR Perception in Autonomous Racing Vision-based semantic segmentation in scene understanding for autonomous driving: Recent achievements, challenges, and outlooks

Reference 14

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raw_fallback, observed 2026-08-11T05:02:10.393117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T05:02:10.165826Z digest=sha256:54a63d0193e35ab8beb0a60b0c2340f030e57cae35ac2186e86aa4f26cb0ab6f

Observation 72b16351-51dc-4b93-8945-788c61b42654 · outbound

This paper cites Msce: An edge-preserving robust loss function for improving super-resolution algorithms.

Parallel Neural Computing for Scene Understanding from LiDAR Perception in Autonomous Racing Msce: An edge-preserving robust loss function for improving super-resolution algorithms

Reference 15

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verified fuzzy
raw_fallback, observed 2026-08-11T05:02:10.378369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T05:02:10.170117Z digest=sha256:2e6fd5d76eb997c1bf28c126a7a7cd040a09a1d119d3b965a83fd2102c6b761f

Observation ddd8cb4d-9081-4d99-875e-d2a2ebdb119b · outbound

This paper cites U-net: Con- volutional networks for biomedical image segmentation.

Parallel Neural Computing for Scene Understanding from LiDAR Perception in Autonomous Racing U-net: Con- volutional networks for biomedical image segmentation

Reference 16

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:02:10.174539Z digest=sha256:68bf151268d43fff56ec129a0a20b84a7b8c0a2b0487bc126f5c7ebf693a3524

Observation f424f078-f7a8-4539-b0ef-708b1c38347b · outbound

This paper cites Airsim: High-fidelity visual and physical simulation for autonomous vehicles.

Parallel Neural Computing for Scene Understanding from LiDAR Perception in Autonomous Racing Airsim: High-fidelity visual and physical simulation for autonomous vehicles

Reference 17

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raw_fallback, observed 2026-08-11T05:02:10.353583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T05:02:10.178916Z digest=sha256:cfb486846ab200dd4a5d3159fbb895cd66a2d78bc95d0c813a47376f565c40e9

Observation 780ad7d5-11d8-4226-b1f3-fccd1bb235f8 · outbound

This paper cites Predicting future instance segmentation with contextual pyramid convlstms.

Parallel Neural Computing for Scene Understanding from LiDAR Perception in Autonomous Racing Predicting future instance segmentation with contextual pyramid convlstms

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T05:02:10.183538Z digest=sha256:b3f9c840369e2bd903f7df1ae6705fc00ea004cc48271063f9920c980fdab76e

Observation 1458752d-0e0e-4e0b-a2a0-29c4cfca045f · outbound

This paper cites Insmos: Instance-aware moving object segmen- tation in lidar data.

Parallel Neural Computing for Scene Understanding from LiDAR Perception in Autonomous Racing Insmos: Instance-aware moving object segmen- tation in lidar data

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T05:02:10.187811Z digest=sha256:554522c16f2717e10a684337b48262456f12947a87c371bca74f1292806174c0

Observation fcc42a12-5747-4f42-9188-c3c997a730ef · outbound

This paper cites Deepracing: A framework for au- tonomous racing.

Parallel Neural Computing for Scene Understanding from LiDAR Perception in Autonomous Racing Deepracing: A framework for au- tonomous racing

Reference 20

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verified fuzzy
raw_fallback, observed 2026-08-11T05:02:10.306502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T05:02:10.192247Z digest=sha256:5a32863ca88b6d2ed642203a97c9d8643784f195900a6124af1234cb40f01bdc

Observation a41ab378-b046-43fd-bf57-8145009a9688 · outbound

This paper cites Motionnet: Joint perception and motion prediction for autonomous driving based on bird’s eye view maps.

Parallel Neural Computing for Scene Understanding from LiDAR Perception in Autonomous Racing Motionnet: Joint perception and motion prediction for autonomous driving based on bird’s eye view maps

Reference 21

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raw_fallback, observed 2026-08-11T05:02:10.291091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T05:02:10.196839Z digest=sha256:f5fb8332cb0b3bf704e4802d85a13c4a4b10eacc5dc25890cd5bf6646e3636e0

Observation e8b010fa-6303-4ca3-89a9-078780320aad · outbound

This paper cites Torcs, the open racing car simulator.

Parallel Neural Computing for Scene Understanding from LiDAR Perception in Autonomous Racing Torcs, the open racing car simulator

Reference 22

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raw_fallback, observed 2026-08-11T05:02:10.275293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T05:02:10.201734Z digest=sha256:9918b409ff64bf0868ecab94bbdf5a07a6b0ca9238034b5798058a065c2a3599

Observation ad9eb5cd-f25d-420a-830d-743c32863579 · outbound

This paper cites Scene understanding in deep learning-based end-to-end controllers for au- tonomous vehicles.

Parallel Neural Computing for Scene Understanding from LiDAR Perception in Autonomous Racing Scene understanding in deep learning-based end-to-end controllers for au- tonomous vehicles

Reference 23

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verified fuzzy
raw_fallback, observed 2026-08-11T05:02:10.260432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T05:02:10.206508Z digest=sha256:b02aebd40e1e42c5142656dee131178589fe09d764260a5a073c8598f4704e6a

Pith citing papers

No inbound Pith citation observations are available.