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Paper Citation Record · LEDGER

Trajectory Planning and Control near the Limits: an Open Experimental Benchmark on the RoboRacer Platform

As of 21 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2605.19881.

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

pith.paper-citation-record.v1
2605.19881 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-20T05:18:50.613788Z

measured 28 of 28 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 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

28 of 28 outbound references displayed

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  • verified fuzzy28
  • unresolved0
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  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 88d22a10-3749-4a48-a213-66464f4a4d4b · outbound

This paper cites Autonomous vehicles on the edge: A survey on autonomous vehicle racing.

Trajectory Planning and Control near the Limits: an Open Experimental Benchmark on the RoboRacer Platform Autonomous vehicles on the edge: A survey on autonomous vehicle racing

Reference 1

Resolution
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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.

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Observation ddf7e1da-d91f-4f1b-988a-b054927076b1 · outbound

This paper cites Outracing champion gran turismo drivers with deep reinforcement learning.

Trajectory Planning and Control near the Limits: an Open Experimental Benchmark on the RoboRacer Platform Outracing champion gran turismo drivers with deep reinforcement learning

Reference 2

Resolution
verified fuzzy
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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.

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Observation e5a96c1a-dc11-4fca-b37a-c3545864e6e4 · outbound

This paper cites Online time-optimal trajectory planning on three-dimensional race tracks.

Trajectory Planning and Control near the Limits: an Open Experimental Benchmark on the RoboRacer Platform Online time-optimal trajectory planning on three-dimensional race tracks

Reference 3

Resolution
verified fuzzy
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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.

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Observation b1c57526-5dad-48a8-b7a1-e81982a72ae0 · outbound

This paper cites Kineto-dynamical planning and accurate execution of minimum-time maneuvers on three-dimensional circuits.

Trajectory Planning and Control near the Limits: an Open Experimental Benchmark on the RoboRacer Platform Kineto-dynamical planning and accurate execution of minimum-time maneuvers on three-dimensional circuits

Reference 4

Resolution
verified fuzzy
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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.

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Observation c6351b94-1f8a-41b4-b667-c2c5379e6b97 · outbound

This paper cites Impacts of model fidelity on trajectory optimization for autonomous vehicles in extreme maneuvers.

Trajectory Planning and Control near the Limits: an Open Experimental Benchmark on the RoboRacer Platform Impacts of model fidelity on trajectory optimization for autonomous vehicles in extreme maneuvers

Reference 5

Resolution
verified fuzzy
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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.

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Observation b84dfa48-7c0e-4fbb-96e6-b4029408bc87 · outbound

This paper cites Time- optimal trajectory planning for a race car considering variable tyre- road friction coefficients.

Trajectory Planning and Control near the Limits: an Open Experimental Benchmark on the RoboRacer Platform Time- optimal trajectory planning for a race car considering variable tyre- road friction coefficients

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T05:23:21.952252Z

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=2026-05-20T05:18:50.613788Z digest=sha256:d8123a73f5088dc65bd2bbe0800a4f32e097ab7262a44d953b98767e949f8a60

Observation b298bc33-a6e4-4130-a2d2-69da9dba1271 · outbound

This paper cites How optimal is the minimum-time manoeuvre of an artificial race driver?.

Trajectory Planning and Control near the Limits: an Open Experimental Benchmark on the RoboRacer Platform How optimal is the minimum-time manoeuvre of an artificial race driver?

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T05:23:21.953893Z

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=2026-05-20T05:18:50.613788Z digest=sha256:26de635bb84ed25a45a0990eb45a8d8cced6140788bfeabd7897a8f327a2ca50

Observation 0c06d071-1a06-4033-bf51-9f1c4a646038 · outbound

This paper cites Minimum curvature trajectory planning and control for an autonomous race car.

Trajectory Planning and Control near the Limits: an Open Experimental Benchmark on the RoboRacer Platform Minimum curvature trajectory planning and control for an autonomous race car

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T05:23:21.946636Z

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=2026-05-20T05:18:50.613788Z digest=sha256:ca2e92ab0c730721857b29f73e3227a4664b7d61f06316d3f24d1ce254803ceb

Observation cef5031d-e49c-497c-8800-d8d39e363a77 · outbound

This paper cites Lateral control for autonomous wheeled vehicles: A technical review.

Trajectory Planning and Control near the Limits: an Open Experimental Benchmark on the RoboRacer Platform Lateral control for autonomous wheeled vehicles: A technical review

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T05:23:21.910913Z

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.

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Observation feb13828-5759-43be-8385-2c2cfa34c296 · outbound

This paper cites Implementation of the pure pursuit path tracking algorithm.

Trajectory Planning and Control near the Limits: an Open Experimental Benchmark on the RoboRacer Platform Implementation of the pure pursuit path tracking algorithm

Reference 10

Resolution
verified fuzzy
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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.

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Observation 5dec3b1e-a037-46d4-b5b2-0b3cc247539e · outbound

This paper cites A path-tracking algorithm using predictive stanley lateral controller.

Trajectory Planning and Control near the Limits: an Open Experimental Benchmark on the RoboRacer Platform A path-tracking algorithm using predictive stanley lateral controller

Reference 11

Resolution
verified fuzzy
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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.

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Observation ea863165-1887-4fc6-a4a9-7cd5cbd0ecea · outbound

This paper cites Optimization-based hierarchical motion planning for au- tonomous racing.

Trajectory Planning and Control near the Limits: an Open Experimental Benchmark on the RoboRacer Platform Optimization-based hierarchical motion planning for au- tonomous racing

Reference 12

Resolution
verified fuzzy
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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=2026-05-20T05:18:50.613788Z digest=sha256:b6d25c48f476ce70e3bb85d6331d0330907bf00e3f5125a0b67e2989e5d8d32c

Observation 2d70482a-3520-419b-b9bf-7eddf6c47d01 · outbound

This paper cites Differentiable weights-varying nonlinear mpc via gradient- based policy learning: An autonomous vehicle guidance example.

Trajectory Planning and Control near the Limits: an Open Experimental Benchmark on the RoboRacer Platform Differentiable weights-varying nonlinear mpc via gradient- based policy learning: An autonomous vehicle guidance example

Reference 13

Resolution
verified fuzzy
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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=2026-05-20T05:18:50.613788Z digest=sha256:96c9522b9430e9fcf3a980cdd6186125db94eeb9a728e52ecee665889f378adb

Observation 6d2c5051-3508-4df5-87a6-cfefa32106b8 · outbound

This paper cites Rlpp: A residual method for zero-shot real-world autonomous racing on scaled platforms.

Trajectory Planning and Control near the Limits: an Open Experimental Benchmark on the RoboRacer Platform Rlpp: A residual method for zero-shot real-world autonomous racing on scaled platforms

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T05:23:21.957298Z

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=2026-05-20T05:18:50.613788Z digest=sha256:9c2369a33a44ad5fb799b3bce63e915c407dc1588c7501bc3e2982b53e4a2bbb

Observation 47628def-76b5-47f1-9c22-a4855dd189ce · outbound

This paper cites Learning- based model predictive control for autonomous racing.

Trajectory Planning and Control near the Limits: an Open Experimental Benchmark on the RoboRacer Platform Learning- based model predictive control for autonomous racing

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T05:23:21.948422Z

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=2026-05-20T05:18:50.613788Z digest=sha256:6555cdff7c82eb3965f527cdae7ad4922970de7878a437bc0ef71fa887b577c1

Observation f1eca0b2-f908-46d0-ad49-bff6621a5a20 · outbound

This paper cites Coupled longi- tudinal and lateral control of a vehicle using deep learning.

Trajectory Planning and Control near the Limits: an Open Experimental Benchmark on the RoboRacer Platform Coupled longi- tudinal and lateral control of a vehicle using deep learning

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T05:23:21.964101Z

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=2026-05-20T05:18:50.613788Z digest=sha256:a98f626f37e244446c86cd58768982bfd771add66f9382bd927e59546274b5e1

Observation 01a82325-2af9-4f74-a017-b537fd616827 · outbound

This paper cites A predictive neural hierarchical framework for on-line time-optimal motion planning and control of black-box vehicle models.

Trajectory Planning and Control near the Limits: an Open Experimental Benchmark on the RoboRacer Platform A predictive neural hierarchical framework for on-line time-optimal motion planning and control of black-box vehicle models

Reference 17

Resolution
verified fuzzy
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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=2026-05-20T05:18:50.613788Z digest=sha256:971f25ffdbb39eac3e394af4ae33d2f2c96e20a0201e4b5af7c5c519be0179a2

Observation 6a0e2260-c996-4cdf-ad67-268ec71dbf91 · outbound

This paper cites Reinforcement learning and optimal control: A hybrid collision avoidance approach.

Trajectory Planning and Control near the Limits: an Open Experimental Benchmark on the RoboRacer Platform Reinforcement learning and optimal control: A hybrid collision avoidance approach

Reference 18

Resolution
verified fuzzy
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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.

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Observation 16edf2d6-85a2-464b-928c-85b9df25a792 · outbound

This paper cites A mental simulation approach for learning neural-network predictive control (in self-driving cars).

Trajectory Planning and Control near the Limits: an Open Experimental Benchmark on the RoboRacer Platform A mental simulation approach for learning neural-network predictive control (in self-driving cars)

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T05:23:21.917759Z

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=2026-05-20T05:18:50.613788Z digest=sha256:b3ad48d6911b40bfd4e4f36259dc317897384188d0376102dbbc2f3cbcd09829

Observation 82ec5a27-3c50-49bc-ab46-c66ee51d2624 · outbound

This paper cites A physics-driven artificial agent for online time-optimal vehicle motion planning and control.

Trajectory Planning and Control near the Limits: an Open Experimental Benchmark on the RoboRacer Platform A physics-driven artificial agent for online time-optimal vehicle motion planning and control

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T05:23:21.942804Z

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.

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Observation 7b3d0816-14c8-4c10-80e8-b0828bbc97f2 · outbound

This paper cites Model-structured neural networks to control the steering dynamics of autonomous race cars.

Trajectory Planning and Control near the Limits: an Open Experimental Benchmark on the RoboRacer Platform Model-structured neural networks to control the steering dynamics of autonomous race cars

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T05:23:21.934785Z

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=2026-05-20T05:18:50.613788Z digest=sha256:29058904a15c31dbd1d918184806ea149c2cc03a27019bbe8c9c264f8feb564b

Observation 71d0b186-78d6-4d45-9b34-86aa3796e42e · outbound

This paper cites A road friction-aware anti-lock braking system based on model-structured neural networks.

Trajectory Planning and Control near the Limits: an Open Experimental Benchmark on the RoboRacer Platform A road friction-aware anti-lock braking system based on model-structured neural networks

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T05:23:21.938676Z

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=2026-05-20T05:18:50.613788Z digest=sha256:416aadded3fff14a1dc4753d908c5a11e69fcb2e4bea9e9e85d9cbf40dc76f40

Observation f799341e-8cc8-457c-99bb-46953875518b · outbound

This paper cites Semi-analytical minimum time solutions with velocity constraints for trajectory following of vehicles.

Trajectory Planning and Control near the Limits: an Open Experimental Benchmark on the RoboRacer Platform Semi-analytical minimum time solutions with velocity constraints for trajectory following of vehicles

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T05:23:21.940967Z

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=2026-05-20T05:18:50.613788Z digest=sha256:f8b21f47126702352245db83cb8b9c490af163414de2917ce23c70ac7adb02c8

Observation 2526f1cf-8bcc-499a-808c-f213264728d6 · outbound

This paper cites Online velocity profile generation and tracking for sampling-based local planning algo- rithms in autonomous racing environments.

Trajectory Planning and Control near the Limits: an Open Experimental Benchmark on the RoboRacer Platform Online velocity profile generation and tracking for sampling-based local planning algo- rithms in autonomous racing environments

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T05:23:21.944754Z

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=2026-05-20T05:18:50.613788Z digest=sha256:1a4f40565060fd2e949dcc0ae95002ae81d2a46f9e997f9c194cc647df8a3545

Observation e13431b4-b490-4990-b86c-e5563b0f2c9f · outbound

This paper cites Real-time velocity profile optimization for time-optimal maneuvering with generic acceleration constraints.

Trajectory Planning and Control near the Limits: an Open Experimental Benchmark on the RoboRacer Platform Real-time velocity profile optimization for time-optimal maneuvering with generic acceleration constraints

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T05:23:21.955631Z

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=2026-05-20T05:18:50.613788Z digest=sha256:1e59bf30ef05d95578220d45a5cbd76dd85ff34cbb99bbc24c089dfef7c293a0

Observation da8148dd-374c-48bc-9623-4a314a36707c · outbound

This paper cites On the g2 hermite interpolation problem with clothoids.

Trajectory Planning and Control near the Limits: an Open Experimental Benchmark on the RoboRacer Platform On the g2 hermite interpolation problem with clothoids

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T05:23:21.959156Z

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=2026-05-20T05:18:50.613788Z digest=sha256:464268414386ca348b47907c4169543f9a0deb66190fcdc716bbccf78d25e59b

Observation 6ce5e0ab-8e0a-4431-b73e-3386f167021e · outbound

This paper cites Guiggiani,The Science of V ehicle Dynamics: Handling, Braking, and Ride of Road and Race Cars.

Trajectory Planning and Control near the Limits: an Open Experimental Benchmark on the RoboRacer Platform Guiggiani,The Science of V ehicle Dynamics: Handling, Braking, and Ride of Road and Race Cars

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T05:23:21.917620Z

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=2026-05-20T05:18:50.613788Z digest=sha256:5ce6f5deb7bb277d547dbfa79a02dcb0f66f2fd741e91f01bc9ee42c33911015

Observation 8c81ab0c-f3ba-4830-bce3-8d73fe716e73 · outbound

This paper cites Model selection and akaike’s information criterion (aic): The general theory and its analytical extensions.

Trajectory Planning and Control near the Limits: an Open Experimental Benchmark on the RoboRacer Platform Model selection and akaike’s information criterion (aic): The general theory and its analytical extensions

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T05:23:21.904456Z

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=2026-05-20T05:18:50.613788Z digest=sha256:5d8954d13a01de59bca20410dea1f1a6038f88ae9a8e1f1aa4bdabad9603eacb

Pith citing papers

No inbound Pith citation observations are available.