Paper Citation Record · LEDGER

GripMap: An Efficient, Spatially Resolved Constraint Framework for Offline and Online Trajectory Planning in Autonomous Racing

As of 20 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2504.12115.

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

pith.paper-citation-record.v1
2504.12115 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:40:25.800143Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

32 of 32 outbound references displayed

verified exact0
verified fuzzy21
unresolved11
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a5894d17-882b-44b1-ad7e-8db2574564c2 · outbound

This paper cites Lateral and longitudinal grip variation,.

GripMap: An Efficient, Spatially Resolved Constraint Framework for Offline and Online Trajectory Planning in Autonomous Racing Lateral and longitudinal grip variation,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:40:26.483181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 62e233c3-9126-42f3-8311-aa0dd33825aa · outbound

This paper cites The grip of motorsport surfaces,.

GripMap: An Efficient, Spatially Resolved Constraint Framework for Offline and Online Trajectory Planning in Autonomous Racing The grip of motorsport surfaces,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:40:26.464765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation cbef4388-4b46-42fd-9945-6eed74676722 · outbound

This paper cites Accelerating autonomy: Insights from pro racers in the era of autonomous racing - an expert interview study,.

GripMap: An Efficient, Spatially Resolved Constraint Framework for Offline and Online Trajectory Planning in Autonomous Racing Accelerating autonomy: Insights from pro racers in the era of autonomous racing - an expert interview study,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-16T12:40:25.617997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65770e40-50b2-41fa-b99a-cafcad1253a7 · outbound

This paper cites What makes a good driver on public roads and race tracks? an interview study,.

GripMap: An Efficient, Spatially Resolved Constraint Framework for Offline and Online Trajectory Planning in Autonomous Racing What makes a good driver on public roads and race tracks? an interview study,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:40:26.437474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f2221169-1dc1-471b-a1fd-aea8288e461c · outbound

This paper cites Motion planning for autonomous driving: The state of the art and future perspectives,.

GripMap: An Efficient, Spatially Resolved Constraint Framework for Offline and Online Trajectory Planning in Autonomous Racing Motion planning for autonomous driving: The state of the art and future perspectives,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:40:26.418904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 44d70815-69c9-4619-9c33-607a417c411a · outbound

This paper cites Learning from professional race car drivers to make automated vehicles safer,.

GripMap: An Efficient, Spatially Resolved Constraint Framework for Offline and Online Trajectory Planning in Autonomous Racing Learning from professional race car drivers to make automated vehicles safer,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:40:26.393947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f0fb581d-97c9-4390-a190-b7906207ac01 · outbound

This paper cites Simulationsbasierte optimale lösung des zielkonfliktes zwischen performance und fahrbarkeit in der rennfahrzeugabstim- mung,.

GripMap: An Efficient, Spatially Resolved Constraint Framework for Offline and Online Trajectory Planning in Autonomous Racing Simulationsbasierte optimale lösung des zielkonfliktes zwischen performance und fahrbarkeit in der rennfahrzeugabstim- mung,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:40:26.375096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c6e88341-aa22-4aa1-996c-7ca414c8031c · outbound

This paper cites Autonomous Vehicles on the Edge: A Survey on Autonomous Vehicle Racing.

GripMap: An Efficient, Spatially Resolved Constraint Framework for Offline and Online Trajectory Planning in Autonomous Racing Autonomous Vehicles on the Edge: A Survey on Autonomous Vehicle Racing

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-16T12:40:25.650725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce3690fc-a084-4e90-9842-e44bfedcc08a · outbound

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

GripMap: An Efficient, Spatially Resolved Constraint Framework for Offline and Online Trajectory Planning in Autonomous Racing How optimal is the minimum-time manoeuvre of an artificial race driver?

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-16T12:40:25.656681Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60b9fd06-21e3-41e5-adba-413150602c9b · outbound

This paper cites Tum autonomous motorsport: An autonomous racing software for the indy autonomous challenge,.

GripMap: An Efficient, Spatially Resolved Constraint Framework for Offline and Online Trajectory Planning in Autonomous Racing Tum autonomous motorsport: An autonomous racing software for the indy autonomous challenge,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:40:26.340166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 38379a1b-fdf3-4d85-a8fb-bbe58ad64b18 · outbound

This paper cites Motion planning and control for multi vehicle autonomous racing at high speeds,.

GripMap: An Efficient, Spatially Resolved Constraint Framework for Offline and Online Trajectory Planning in Autonomous Racing Motion planning and control for multi vehicle autonomous racing at high speeds,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:40:26.321048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e02a9e2a-ab9c-4b0e-9f79-28c215aa0a29 · outbound

This paper cites An autonomous system for head-to-head race: Design, implementation and analysis; team kaist at the indy autonomous challenge.

GripMap: An Efficient, Spatially Resolved Constraint Framework for Offline and Online Trajectory Planning in Autonomous Racing An autonomous system for head-to-head race: Design, implementation and analysis; team kaist at the indy autonomous challenge

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:40:26.300984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9b2b8e05-7e2a-4771-8cf2-1fd096709c77 · outbound

This paper cites Comparison of direct and indirect methods for minimum lap time optimal control problems,.

GripMap: An Efficient, Spatially Resolved Constraint Framework for Offline and Online Trajectory Planning in Autonomous Racing Comparison of direct and indirect methods for minimum lap time optimal control problems,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:40:26.282901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4c33c2b6-edef-4890-a41d-8945cb8d85e8 · outbound

This paper cites Minimum-lap-time optimisation and simulation,.

GripMap: An Efficient, Spatially Resolved Constraint Framework for Offline and Online Trajectory Planning in Autonomous Racing Minimum-lap-time optimisation and simulation,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:40:26.264636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c3befa2f-5a4e-4caa-bf5f-2746586b457b · outbound

This paper cites A quasi steady state approach to race car lap simulation in order to understand the effects of racing line and centre of gravity location,.

GripMap: An Efficient, Spatially Resolved Constraint Framework for Offline and Online Trajectory Planning in Autonomous Racing A quasi steady state approach to race car lap simulation in order to understand the effects of racing line and centre of gravity location,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-16T12:40:25.694809Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5667457-82d8-47f9-bf0e-d3bf452e078f · outbound

This paper cites A free-trajectory quasi-steady-state optimal-control method for minimum lap-time of race vehicles,.

GripMap: An Efficient, Spatially Resolved Constraint Framework for Offline and Online Trajectory Planning in Autonomous Racing A free-trajectory quasi-steady-state optimal-control method for minimum lap-time of race vehicles,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-16T12:40:25.700999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae709258-bfce-47b7-8b20-f7aa6f8693bc · outbound

This paper cites A three-dimensional free-trajectory quasi- steady-state optimal-control method for minimum-lap-time of race vehicles,.

GripMap: An Efficient, Spatially Resolved Constraint Framework for Offline and Online Trajectory Planning in Autonomous Racing A three-dimensional free-trajectory quasi- steady-state optimal-control method for minimum-lap-time of race vehicles,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-16T12:40:25.707423Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 428a4b63-af50-4f6b-b070-7d245842bf2c · outbound

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

GripMap: An Efficient, Spatially Resolved Constraint Framework for Offline and Online Trajectory Planning in Autonomous Racing Online time-optimal trajectory planning on three-dimensional race tracks,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:40:26.211766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 433a4628-2d46-427d-b4bc-8cb1d6c22952 · outbound

This paper cites Impacts of g-g-v constraints formulations on online minimum-time vehicle trajectory planning,.

GripMap: An Efficient, Spatially Resolved Constraint Framework for Offline and Online Trajectory Planning in Autonomous Racing Impacts of g-g-v constraints formulations on online minimum-time vehicle trajectory planning,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-16T12:40:25.719746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0fd6bd51-2685-4847-ab46-2e4ef0057698 · outbound

This paper cites Minimum time cornering: the effect of road surface and car transmis- sion layout,.

GripMap: An Efficient, Spatially Resolved Constraint Framework for Offline and Online Trajectory Planning in Autonomous Racing Minimum time cornering: the effect of road surface and car transmis- sion layout,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:40:26.181469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 12e61e26-f096-431f-864f-a57b68cf9a3b · outbound

This paper cites Models and methodology for optimal trajectory generation in safety-critical road– vehicle manoeuvres,.

GripMap: An Efficient, Spatially Resolved Constraint Framework for Offline and Online Trajectory Planning in Autonomous Racing Models and methodology for optimal trajectory generation in safety-critical road– vehicle manoeuvres,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:40:26.163704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 848d2389-2f2d-4c21-aca0-5313b3c9abca · outbound

This paper cites Optimal control for a formula one car with variable parameters,.

GripMap: An Efficient, Spatially Resolved Constraint Framework for Offline and Online Trajectory Planning in Autonomous Racing Optimal control for a formula one car with variable parameters,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-16T12:40:25.737831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 386d0fb7-13eb-4d2a-b4ef-5cc2d5d077c1 · outbound

This paper cites Minimum time optimal control simulation of a gp2 race car,.

GripMap: An Efficient, Spatially Resolved Constraint Framework for Offline and Online Trajectory Planning in Autonomous Racing Minimum time optimal control simulation of a gp2 race car,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:40:26.135722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3c14c8a6-38d9-43f7-a4e8-15d0ecd46fcf · outbound

This paper cites Analysis of driving styles of a gp2 car via minimum lap-time direct trajectory optimization,.

GripMap: An Efficient, Spatially Resolved Constraint Framework for Offline and Online Trajectory Planning in Autonomous Racing Analysis of driving styles of a gp2 car via minimum lap-time direct trajectory optimization,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:40:26.115608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6d4be3e6-02e1-485d-a447-c7bd28c40fa9 · outbound

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

GripMap: An Efficient, Spatially Resolved Constraint Framework for Offline and Online Trajectory Planning in Autonomous Racing Time- optimal trajectory planning for a race car considering variable tyre- road friction coefficients,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-16T12:40:25.756171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7fdcc09-4c6d-4471-b987-fe655e3b834d · outbound

This paper cites Fusion of heterogeneous friction esti- mates for traction adaptive motion planning and control,.

GripMap: An Efficient, Spatially Resolved Constraint Framework for Offline and Online Trajectory Planning in Autonomous Racing Fusion of heterogeneous friction esti- mates for traction adaptive motion planning and control,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:40:26.081265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 886d34a7-aeca-4703-bc42-92f55822b495 · outbound

This paper cites Traction adaptive motion planning and control at the limits of handling,.

GripMap: An Efficient, Spatially Resolved Constraint Framework for Offline and Online Trajectory Planning in Autonomous Racing Traction adaptive motion planning and control at the limits of handling,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:40:26.060723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a852de9c-0dce-4349-8936-0e2e2043b7fd · outbound

This paper cites Ensemble gaussian processes for adaptive autonomous driving on multi-friction surfaces.

GripMap: An Efficient, Spatially Resolved Constraint Framework for Offline and Online Trajectory Planning in Autonomous Racing Ensemble gaussian processes for adaptive autonomous driving on multi-friction surfaces

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:40:26.040923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0b9bf693-c306-46e2-9c5d-b9929d6a800c · outbound

This paper cites Adaptive Planning and Control with Time-Varying Tire Models for Autonomous Racing Using Extreme Learning Machine.

GripMap: An Efficient, Spatially Resolved Constraint Framework for Offline and Online Trajectory Planning in Autonomous Racing Adaptive Planning and Control with Time-Varying Tire Models for Autonomous Racing Using Extreme Learning Machine

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-16T12:40:25.780421Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 96887a0c-dcfe-43b4-a2bc-593f897caa83 · outbound

This paper cites Tum autonomous motorsport: An autonomous racing software for the indy autonomous challenge,.

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-16T12:40:25.788202Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca77dcec-0ea8-4b05-b10c-8c87b205155e · outbound

This paper cites Sampling- based motion planning with online racing line generation for au- tonomous driving on three-dimensional race tracks,.

GripMap: An Efficient, Spatially Resolved Constraint Framework for Offline and Online Trajectory Planning in Autonomous Racing Sampling- based motion planning with online racing line generation for au- tonomous driving on three-dimensional race tracks,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:40:26.010218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 413a3120-c174-4851-a7e5-4d0a6c24a0dc · outbound

This paper cites Analyz- ing the impact of simulation fidelity on the evaluation of autonomous driving motion control,.

GripMap: An Efficient, Spatially Resolved Constraint Framework for Offline and Online Trajectory Planning in Autonomous Racing Analyz- ing the impact of simulation fidelity on the evaluation of autonomous driving motion control,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:40:25.990800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Pith citing papers

No inbound Pith citation observations are available.