Paper Citation Record · LEDGER

{\alpha}-RACER: Real-Time Algorithm for Game-Theoretic Motion Planning and Control in Autonomous Racing using Near-Potential Function

As of 14 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 3 inbound Pith citation observations for arXiv:2412.08855.

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

pith.paper-citation-record.v1
2412.08855 v3

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T17:35:00.209781Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T05:57:40.664931Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T00:51:56.219230Z

Reference resolution

24 of 24 outbound references displayed

verified exact3
verified fuzzy12
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e8416d0a-b0eb-4f14-bbaa-b3efe1431ca0 · outbound

This paper cites Deepracer: Autonomous racing platform for experimentation with sim2real reinforcement learning.

{\alpha}-RACER: Real-Time Algorithm for Game-Theoretic Motion Planning and Control in Autonomous Racing using Near-Potential Function Deepracer: Autonomous racing platform for experimentation with sim2real reinforcement learning

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:35:00.503341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5192c9a6-38a6-448a-a50a-1b22bbd20f12 · outbound

This paper cites Markov $\alpha$-Potential Games.

{\alpha}-RACER: Real-Time Algorithm for Game-Theoretic Motion Planning and Control in Autonomous Racing using Near-Potential Function Markov $\alpha$-Potential Games

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T17:35:00.153810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 335bc4a5-2670-41ef-a6b6-84557118e91e · outbound

This paper cites 2019.1631455.

{\alpha}-RACER: Real-Time Algorithm for Game-Theoretic Motion Planning and Control in Autonomous Racing using Near-Potential Function 2019.1631455

Reference 8

Resolution: metadata mismatch; raw_fallback, observed 2026-08-11T17:35:00.372361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a8848e71-07b4-46be-88e8-2895d3b262a9 · outbound

This paper cites Rapid: Autonomous multi-agent racing using con- strained potential dynamic games.

{\alpha}-RACER: Real-Time Algorithm for Game-Theoretic Motion Planning and Control in Autonomous Racing using Near-Potential Function Rapid: Autonomous multi-agent racing using con- strained potential dynamic games

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:35:00.469452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 10510db2-015f-49c2-872b-642600052a5a · outbound

This paper cites Game-Theoretic Model Predictive Control with Data-Driven Identification of Vehicle Model for Head-to-Head Autonomous Racing.

{\alpha}-RACER: Real-Time Algorithm for Game-Theoretic Motion Planning and Control in Autonomous Racing using Near-Potential Function Game-Theoretic Model Predictive Control with Data-Driven Identification of Vehicle Model for Head-to-Head Autonomous Racing

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T17:35:00.170376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2083e7b-d856-4552-8afd-09f96aa996ed · outbound

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

{\alpha}-RACER: Real-Time Algorithm for Game-Theoretic Motion Planning and Control in Autonomous Racing using Near-Potential Function Adaptive Planning and Control with Time-Varying Tire Models for Autonomous Racing Using Extreme Learning Machine

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-08-11T17:35:00.290147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c65fcaa7-8d8d-40b4-926c-866e1dd7cf6f · outbound

This paper cites Potential iLQR: A Potential-Minimizing Controller for Planning Multi-Agent Interactive Trajectories.

{\alpha}-RACER: Real-Time Algorithm for Game-Theoretic Motion Planning and Control in Autonomous Racing using Near-Potential Function Potential iLQR: A Potential-Minimizing Controller for Planning Multi-Agent Interactive Trajectories

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T17:35:00.178338Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c18f1dbc-e848-4d43-92b6-f752345fca4f · outbound

This paper cites Autonomous racing using learning model predictive control.

{\alpha}-RACER: Real-Time Algorithm for Game-Theoretic Motion Planning and Control in Autonomous Racing using Near-Potential Function Autonomous racing using learning model predictive control

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:35:00.443440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation acdcb0ce-00ae-487e-8e6e-312f240080af · outbound

This paper cites Autonomous drone racing with deep reinforcement learning.

{\alpha}-RACER: Real-Time Algorithm for Game-Theoretic Motion Planning and Control in Autonomous Racing using Near-Potential Function Autonomous drone racing with deep reinforcement learning

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:35:00.435644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3628a3c0-d3d0-455a-85e2-8427201080e0 · outbound

This paper cites Hierarchical Control for Head-to-Head Autonomous Racing.

{\alpha}-RACER: Real-Time Algorithm for Game-Theoretic Motion Planning and Control in Autonomous Racing using Near-Potential Function Hierarchical Control for Head-to-Head Autonomous Racing

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-08-11T17:35:00.272111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 87e701bf-7aaf-4eba-8f9d-dcd02f1b369c · outbound

This paper cites Autonomous Racing with AutoRally Vehicles and Differential Games.

{\alpha}-RACER: Real-Time Algorithm for Game-Theoretic Motion Planning and Control in Autonomous Racing using Near-Potential Function Autonomous Racing with AutoRally Vehicles and Differential Games

Reference 20

Resolution: metadata mismatch; local_arxiv, observed 2026-08-11T17:35:00.260137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1503f636-10ee-46fc-b38f-9918cbc0c21b · outbound

This paper cites Game-theoretic Objective Space Planning.

{\alpha}-RACER: Real-Time Algorithm for Game-Theoretic Motion Planning and Control in Autonomous Racing using Near-Potential Function Game-theoretic Objective Space Planning

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-08-11T17:35:00.248412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 39d45948-ad82-4ad8-ad73-d23928baa2f3 · outbound

This paper cites A sequential quadratic programming approach to the solution of open-loop generalized nash equilibria.

{\alpha}-RACER: Real-Time Algorithm for Game-Theoretic Motion Planning and Control in Autonomous Racing using Near-Potential Function A sequential quadratic programming approach to the solution of open-loop generalized nash equilibria

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:35:00.417421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d339627c-6454-495b-ba47-a2622fca6a8f · outbound

This paper cites A Sequential Quadratic Programming Approach to the Solution of Open-Loop Generalized Nash Equilibria for Autonomous Racing.

{\alpha}-RACER: Real-Time Algorithm for Game-Theoretic Motion Planning and Control in Autonomous Racing using Near-Potential Function A Sequential Quadratic Programming Approach to the Solution of Open-Loop Generalized Nash Equilibria for Autonomous Racing

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-11T17:35:00.206852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c4cdd36-6033-41de-aa89-47e659ed045a · outbound

This paper cites Proof of Proposition 3 Consider a policy parameter θ∗ such that Φ(x, θ∗) ≥ maxθ∈Θ Φ(x, θ) − λ.

{\alpha}-RACER: Real-Time Algorithm for Game-Theoretic Motion Planning and Control in Autonomous Racing using Near-Potential Function Proof of Proposition 3 Consider a policy parameter θ∗ such that Φ(x, θ∗) ≥ maxθ∈Θ Φ(x, θ) − λ

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:35:00.408900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2bd3edb3-5b18-49b5-a859-c19848a5c1ed · outbound

This paper cites Game theoretic planning for self-driving cars in competitive scenarios.

{\alpha}-RACER: Real-Time Algorithm for Game-Theoretic Motion Planning and Control in Autonomous Racing using Near-Potential Function Game theoretic planning for self-driving cars in competitive scenarios

Reference 2015

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:35:00.426871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 85ee6877-3b9c-4f12-818e-56cf2ad41280 · outbound

This paper cites 11 KALARIA MAHESHWARI ∗ SASTRY Achin Jain and Manfred Morari.

{\alpha}-RACER: Real-Time Algorithm for Game-Theoretic Motion Planning and Control in Autonomous Racing using Near-Potential Function 11 KALARIA MAHESHWARI ∗ SASTRY Achin Jain and Manfred Morari

Reference 2016

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:35:00.477818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ef5ca43c-00f6-4b71-8853-82bcb4490759 · outbound

This paper cites ALGAMES: A Fast Solver for Constrained Dynamic Games.

{\alpha}-RACER: Real-Time Algorithm for Game-Theoretic Motion Planning and Control in Autonomous Racing using Near-Potential Function ALGAMES: A Fast Solver for Constrained Dynamic Games

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-11T17:35:00.146705Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a65b64c0-3a4f-4916-b025-5452cb350a47 · outbound

This paper cites Efficient iter- ative linear-quadratic approximations for nonlinear multi-player general-sum differential games.

{\alpha}-RACER: Real-Time Algorithm for Game-Theoretic Motion Planning and Control in Autonomous Racing using Near-Potential Function Efficient iter- ative linear-quadratic approximations for nonlinear multi-player general-sum differential games

Reference 2019

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:35:00.486679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d5e8156d-dab4-44f2-8510-7a7567d5e718 · outbound

This paper cites Alexander Buyval, Aidar Gabdulin, Ruslan Mustafin, and Ilya Shimchik.

{\alpha}-RACER: Real-Time Algorithm for Game-Theoretic Motion Planning and Control in Autonomous Racing using Near-Potential Function Alexander Buyval, Aidar Gabdulin, Ruslan Mustafin, and Ilya Shimchik

Reference 2020

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:35:00.495005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 11b33b49-b0e4-434c-94c0-d60a83d5c34e · outbound

This paper cites Multi-hypothesis inter- actions in game-theoretic motion planning.

{\alpha}-RACER: Real-Time Algorithm for Game-Theoretic Motion Planning and Control in Autonomous Racing using Near-Potential Function Multi-hypothesis inter- actions in game-theoretic motion planning

Reference 2021

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:35:00.461293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation efe4b88d-c2d2-4ece-938d-e60ae21927be · outbound

This paper cites Learning Model Predictive Control for Competitive Autonomous Racing.

{\alpha}-RACER: Real-Time Algorithm for Game-Theoretic Motion Planning and Control in Autonomous Racing using Near-Potential Function Learning Model Predictive Control for Competitive Autonomous Racing

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-11T17:35:00.139273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d6b6a55-a5f5-4056-bae8-e47618335c2e · outbound

This paper cites An $\alpha$-potential game framework for $N$-player dynamic games.

{\alpha}-RACER: Real-Time Algorithm for Game-Theoretic Motion Planning and Control in Autonomous Racing using Near-Potential Function An $\alpha$-potential game framework for $N$-player dynamic games

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-11T17:35:00.157717Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 542d625d-f4ad-4c0b-bfba-a14ecc4dcd84 · outbound

This paper cites Enhancing game- theoretic autonomous car racing using control barrier functions.

{\alpha}-RACER: Real-Time Algorithm for Game-Theoretic Motion Planning and Control in Autonomous Racing using Near-Potential Function Enhancing game- theoretic autonomous car racing using control barrier functions

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:35:00.452504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Pith citing papers

Observation e9b90c69-8cbf-4778-91f6-762cc71001ad · inbound

Distributed games with jumps: An $\alpha$-potential game approach cites this paper.

Distributed games with jumps: An $\alpha$-potential game approach {\alpha}-RACER: Real-Time Algorithm for Game-Theoretic Motion Planning and Control in Autonomous Racing using Near-Potential Function

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-19T00:51:56.222242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e95e3e35-094f-4806-94ab-eb38afef7657 · inbound

Expert Knowledge-driven Reinforcement Learning for Autonomous Racing via Trajectory Guidance and Dynamics Constraints cites this paper.

Expert Knowledge-driven Reinforcement Learning for Autonomous Racing via Trajectory Guidance and Dynamics Constraints {\alpha}-RACER: Real-Time Algorithm for Game-Theoretic Motion Planning and Control in Autonomous Racing using Near-Potential Function

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-15T14:14:22.591381Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b98903ee-d300-429d-abe1-b6bf120c4ca3 · inbound

Expert Knowledge-driven Reinforcement Learning for Autonomous Racing via Trajectory Guidance and Dynamics Constraints cites this paper.

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-04T05:57:40.664931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.