Paper Citation Record · LEDGER

Explainable Reinforcement Learning for Formula One Race Strategy

As of 18 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2501.04068.

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

pith.paper-citation-record.v1
2501.04068 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:50:53.399251Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

27 of 27 outbound references displayed

verified exact4
verified fuzzy4
unresolved19
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4bd2cabd-9957-4c36-8223-fadebd4a7404 · outbound

This paper cites Ali El-Sappagh, Khan Muhammad, Jose Maria Alonso-Moral, Roberto Confalonieri, Riccardo Guidotti, Javier Del Ser, Natalia Díaz Rodríguez, and Francisco Herrera.

Explainable Reinforcement Learning for Formula One Race Strategy Ali El-Sappagh, Khan Muhammad, Jose Maria Alonso-Moral, Roberto Confalonieri, Riccardo Guidotti, Javier Del Ser, Natalia Díaz Rodríguez, and Francisco Herrera

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-10T21:50:52.997686Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2567a71c-83d3-4d8f-932b-53d6018650b2 · outbound

This paper cites an unresolved cited work.

Explainable Reinforcement Learning for Formula One Race Strategy Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:50:54.317688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7bb93521-a68a-4abc-92ab-4c80c713d2c9 · outbound

This paper cites an unresolved cited work.

Explainable Reinforcement Learning for Formula One Race Strategy Unresolved cited work

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-10T21:50:53.032100Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 362f0491-ae5e-4534-8ec1-3dcba51c9caf · outbound

This paper cites Dota 2 with Large Scale Deep Reinforcement Learning.

Explainable Reinforcement Learning for Formula One Race Strategy Dota 2 with Large Scale Deep Reinforcement Learning

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-10T21:50:53.049631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a66daa96-bca0-4170-8e63-164ba080a17a · outbound

This paper cites Mastering Nordschleife -- A comprehensive race simulation for AI strategy decision-making in motorsports.

Explainable Reinforcement Learning for Formula One Race Strategy Mastering Nordschleife -- A comprehensive race simulation for AI strategy decision-making in motorsports

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-08-10T21:50:53.606566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 482d0cd9-e21d-412c-a064-e456bc5ed51b · outbound

This paper cites Carreira-Perpiñán and Suryabhan Singh Hada.

Explainable Reinforcement Learning for Formula One Race Strategy Carreira-Perpiñán and Suryabhan Singh Hada

Reference 6

Resolution: verified exact; doi, observed 2026-08-10T21:50:53.565059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3f7bb1af-f1d4-4043-94ed-52e3053745e0 · outbound

This paper cites an unresolved cited work.

Explainable Reinforcement Learning for Formula One Race Strategy Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:50:54.301575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1b1dd599-737c-471c-a265-138053763cff · outbound

This paper cites an unresolved cited work.

Explainable Reinforcement Learning for Formula One Race Strategy Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:50:54.284551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d2f381b5-b7ba-4245-94cb-8cfd356bf835 · outbound

This paper cites Hausknecht and Peter Stone.

Explainable Reinforcement Learning for Formula One Race Strategy Hausknecht and Peter Stone

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:50:54.267880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8cf13b80-c81e-40c4-8a60-9351e1ab3a14 · outbound

This paper cites an unresolved cited work.

Explainable Reinforcement Learning for Formula One Race Strategy Unresolved cited work

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T21:50:53.150119Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b9f7818-87c2-4148-b939-d98f022853e5 · outbound

This paper cites an unresolved cited work.

Explainable Reinforcement Learning for Formula One Race Strategy Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:50:54.249680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 44f16527-83b4-42f1-b02c-9baba158085e · outbound

This paper cites Carrasco Heine and Charles Thraves.

Explainable Reinforcement Learning for Formula One Race Strategy Carrasco Heine and Charles Thraves

Reference 12

Resolution: verified exact; doi, observed 2026-08-10T21:50:53.544028Z

Source-reported events for the cited work

correction dated 2022-08-09. Source: crossref record 10.1007/s10100-022-00810-8->10.1007/s10100-022-00806-4:correction, observed 2026-07-11T03:03:10.403301+00:00. This notice travels one citation hop only.

Observation c41a2463-eaad-440d-aefe-6f279eb5cfde · outbound

This paper cites Jalali, Bernhard Haslhofer, Simone Kriglstein, and Andreas Rauber.

Explainable Reinforcement Learning for Formula One Race Strategy Jalali, Bernhard Haslhofer, Simone Kriglstein, and Andreas Rauber

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:50:54.229479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c9cb544a-1c2b-4370-b3a4-7f9ac3eceed3 · outbound

This paper cites an unresolved cited work.

Explainable Reinforcement Learning for Formula One Race Strategy Unresolved cited work

Reference 14

Resolution: verified exact; doi, observed 2026-08-10T21:50:53.507191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d3be280a-b708-4aae-8443-daf21806154e · outbound

This paper cites an unresolved cited work.

Explainable Reinforcement Learning for Formula One Race Strategy Unresolved cited work

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-10T21:50:53.253934Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a7b759f-596b-4c27-804f-66fef9f6ca70 · outbound

This paper cites Lundberg and Su-In Lee.

Explainable Reinforcement Learning for Formula One Race Strategy Lundberg and Su-In Lee

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:50:54.206679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d7f78571-9c90-4942-9467-ec6892f64b82 · outbound

This paper cites an unresolved cited work.

Explainable Reinforcement Learning for Formula One Race Strategy Unresolved cited work

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-10T21:50:53.279159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f51d8856-2397-4236-94d9-cc449c1c990d · outbound

This paper cites Playing Atari with Deep Reinforcement Learning.

Explainable Reinforcement Learning for Formula One Race Strategy Playing Atari with Deep Reinforcement Learning

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-10T21:50:53.285866Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35acda09-b0ce-4b2d-8d43-c912972b20cf · outbound

This paper cites Rusu, Joel Veness, Marc G.

Explainable Reinforcement Learning for Formula One Race Strategy Rusu, Joel Veness, Marc G

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-10T21:50:53.299911Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c6645a9a-b444-45f6-ab92-3c88051d09d2 · outbound

This paper cites Gordon, and Drew Bagnell.

Explainable Reinforcement Learning for Formula One Race Strategy Gordon, and Drew Bagnell

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:50:54.188711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b7acdf6e-ecb7-4740-bf32-4579d5ab7e93 · outbound

This paper cites an unresolved cited work.

Explainable Reinforcement Learning for Formula One Race Strategy Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:50:54.159083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8f23cabe-2de6-430c-9dbb-4d40d4032eb4 · outbound

This paper cites an unresolved cited work.

Explainable Reinforcement Learning for Formula One Race Strategy Unresolved cited work

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-10T21:50:53.364847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85eca6a6-403a-441c-be4c-f02538489042 · outbound

This paper cites an unresolved cited work.

Explainable Reinforcement Learning for Formula One Race Strategy Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:50:54.136920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 04aa9e39-584b-40ef-a861-b294a54da467 · outbound

This paper cites an unresolved cited work.

Explainable Reinforcement Learning for Formula One Race Strategy Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:50:54.114525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 26aabdc3-4c76-495d-a7b3-41032af80570 · outbound

This paper cites Czarnecki, Michaël Mathieu, Andrew Dudzik, Junyoung Chung, David H.

Explainable Reinforcement Learning for Formula One Race Strategy Czarnecki, Michaël Mathieu, Andrew Dudzik, Junyoung Chung, David H

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-10T21:50:53.393254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5432610c-5f9e-4d7b-8c3f-81bb39ab98d7 · outbound

This paper cites Wurman, Samuel Barrett, Kenta Kawamoto, James MacGlashan, Kaushik Subramanian, Thomas J.

Explainable Reinforcement Learning for Formula One Race Strategy Wurman, Samuel Barrett, Kenta Kawamoto, James MacGlashan, Kaushik Subramanian, Thomas J

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-10T21:50:53.399251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b237c1c9-261c-4053-8bf9-dde90eaa22a2 · outbound

This paper cites Predictability and Comprehensibility in Post-Hoc XAI Methods: A User-Centered Analysis.

Explainable Reinforcement Learning for Formula One Race Strategy Predictability and Comprehensibility in Post-Hoc XAI Methods: A User-Centered Analysis

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-10T21:50:53.228864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.