Paper Citation Record · LEDGER

LearningFlow: Automated Policy Learning Workflow for Urban Driving with Large Language Models

As of 23 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 1 inbound Pith citation observation for arXiv:2501.05057.

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

pith.paper-citation-record.v1
2501.05057 v1

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:23:20.545675Z

measured 50 of 50 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:13:41.473724Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T15:13:45.789156Z

Reference resolution

49 of 49 outbound references displayed

verified exact1
verified fuzzy25
unresolved23
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9c0ec740-bba7-4405-8a47-d038f30db641 · outbound

This paper cites A Survey of Large Language Models.

LearningFlow: Automated Policy Learning Workflow for Urban Driving with Large Language Models A Survey of Large Language Models

Reference 1

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Source-reported events for the cited work

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Observation 0f65d00d-0e1e-4896-8256-b0fe8a12b4c6 · outbound

This paper cites A survey on evaluation of large language models,.

LearningFlow: Automated Policy Learning Workflow for Urban Driving with Large Language Models A survey on evaluation of large language models,

Reference 2

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Source-reported events for the cited work

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Observation ae648a41-b746-4658-b9ed-2f1b030fcbcf · outbound

This paper cites A survey on multimodal large language models for autonomous driving,.

LearningFlow: Automated Policy Learning Workflow for Urban Driving with Large Language Models A survey on multimodal large language models for autonomous driving,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:23:21.555434Z

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Observation a7e49d22-0725-4ac4-8da7-e1255f1f20db · outbound

This paper cites Deep reinforcement learning for autonomous driving: A survey,.

LearningFlow: Automated Policy Learning Workflow for Urban Driving with Large Language Models Deep reinforcement learning for autonomous driving: A survey,

Reference 4

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Observation ea9d91e9-c1f6-44ad-b7ef-964d33b18b0f · outbound

This paper cites Deep learning for safe autonomous driving: Current chal- lenges and future directions,.

LearningFlow: Automated Policy Learning Workflow for Urban Driving with Large Language Models Deep learning for safe autonomous driving: Current chal- lenges and future directions,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:23:21.511219Z

Source-reported events for the cited work

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Observation 00b6254c-2a1f-4dad-bdc7-c479e461d9ca · outbound

This paper cites Deep learning-based vehicle behavior prediction for autonomous driving applications: A review,.

LearningFlow: Automated Policy Learning Workflow for Urban Driving with Large Language Models Deep learning-based vehicle behavior prediction for autonomous driving applications: A review,

Reference 6

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Source-reported events for the cited work

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Observation c5ea2442-f551-4468-b264-1789558119d7 · outbound

This paper cites Large scale interactive motion forecasting for autonomous driving: The waymo open motion dataset,.

LearningFlow: Automated Policy Learning Workflow for Urban Driving with Large Language Models Large scale interactive motion forecasting for autonomous driving: The waymo open motion dataset,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-10T21:23:20.349589Z

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Observation 8e3956e3-dd62-4281-bbfe-c1c5f53e2d80 · outbound

This paper cites Behavior planning at urban in- tersections through hierarchical reinforcement learning,.

LearningFlow: Automated Policy Learning Workflow for Urban Driving with Large Language Models Behavior planning at urban in- tersections through hierarchical reinforcement learning,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:23:21.460507Z

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Observation 15a9f599-75a0-4cc7-b189-f148df4aa625 · outbound

This paper cites Chance-aware lane change with high-level model predictive control through curriculum reinforcement learning,.

LearningFlow: Automated Policy Learning Workflow for Urban Driving with Large Language Models Chance-aware lane change with high-level model predictive control through curriculum reinforcement learning,

Reference 9

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Source-reported events for the cited work

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Observation 0971f943-c18e-4f8d-9024-6027493be1e2 · outbound

This paper cites Reward-driven automated curriculum learning for interaction-aware self-driving at unsignalized intersections,.

LearningFlow: Automated Policy Learning Workflow for Urban Driving with Large Language Models Reward-driven automated curriculum learning for interaction-aware self-driving at unsignalized intersections,

Reference 10

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Source-reported events for the cited work

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Observation e9444779-07ff-435f-a925-3f364801783c · outbound

This paper cites The perils of trial-and-error reward design: misdesign through overfitting and invalid task specifications,.

LearningFlow: Automated Policy Learning Workflow for Urban Driving with Large Language Models The perils of trial-and-error reward design: misdesign through overfitting and invalid task specifications,

Reference 11

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Source-reported events for the cited work

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Observation 5da25052-e7f1-4be3-a9ea-93126015eb4e · outbound

This paper cites Learning to utilize shaping rewards: A new approach of reward shaping,.

LearningFlow: Automated Policy Learning Workflow for Urban Driving with Large Language Models Learning to utilize shaping rewards: A new approach of reward shaping,

Reference 12

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Observation d40221e8-5493-491d-98e3-ca6f40d631bb · outbound

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LearningFlow: Automated Policy Learning Workflow for Urban Driving with Large Language Models Unresolved cited work

Reference 13

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Source-reported events for the cited work

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Observation cac0da9a-ac47-4e7d-8d83-803a0338381f · outbound

This paper cites Eureka: Human-Level Reward Design via Coding Large Language Models.

LearningFlow: Automated Policy Learning Workflow for Urban Driving with Large Language Models Eureka: Human-Level Reward Design via Coding Large Language Models

Reference 14

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Source-reported events for the cited work

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Observation 3d2f8eab-d19b-45b9-9233-9db41527a231 · outbound

This paper cites A review of reward functions for reinforcement learning in the context of autonomous driving,.

LearningFlow: Automated Policy Learning Workflow for Urban Driving with Large Language Models A review of reward functions for reinforcement learning in the context of autonomous driving,

Reference 15

Resolution: verified exact; raw_fallback, observed 2026-08-10T21:23:20.946487Z

Source-reported events for the cited work

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Observation c157aaa0-3b1c-412d-8874-db0dea0c39b8 · outbound

This paper cites Curriculum learning for reinforcement learning domains: A framework and survey,.

LearningFlow: Automated Policy Learning Workflow for Urban Driving with Large Language Models Curriculum learning for reinforcement learning domains: A framework and survey,

Reference 16

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Source-reported events for the cited work

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Observation 6cf542e1-e1ce-49ae-8b95-36c87579ab12 · outbound

This paper cites Curriculum learning,.

LearningFlow: Automated Policy Learning Workflow for Urban Driving with Large Language Models Curriculum learning,

Reference 17

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Source-reported events for the cited work

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Observation e0b4a500-4286-494b-af53-d1f9019821ea · outbound

This paper cites Curriculum learning: A survey,.

LearningFlow: Automated Policy Learning Workflow for Urban Driving with Large Language Models Curriculum learning: A survey,

Reference 18

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Source-reported events for the cited work

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Observation ffdddfd3-5628-497a-9d02-15dfb15d5822 · outbound

This paper cites Automated curriculum learning for neural networks,.

LearningFlow: Automated Policy Learning Workflow for Urban Driving with Large Language Models Automated curriculum learning for neural networks,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:23:21.337953Z

Source-reported events for the cited work

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Observation f02328a6-984c-4730-a035-0429e9ec7ae9 · outbound

This paper cites Robot parkour learning,.

LearningFlow: Automated Policy Learning Workflow for Urban Driving with Large Language Models Robot parkour learning,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:23:21.322480Z

Source-reported events for the cited work

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Observation 370b7dc6-e493-4a48-8431-264a9d48ecc8 · outbound

This paper cites Self-learned autonomous driving at unsignalized intersec- tions: A hierarchical reinforced learning approach for feasible decision- making,.

LearningFlow: Automated Policy Learning Workflow for Urban Driving with Large Language Models Self-learned autonomous driving at unsignalized intersec- tions: A hierarchical reinforced learning approach for feasible decision- making,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:23:21.306218Z

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Observation a7db27e1-0d20-4fe9-8814-b205fbb474bd · outbound

This paper cites A multi-task reinforcement learning approach for navigating unsignalized intersec- tions,.

LearningFlow: Automated Policy Learning Workflow for Urban Driving with Large Language Models A multi-task reinforcement learning approach for navigating unsignalized intersec- tions,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:23:21.289685Z

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Observation f1524a2a-24fb-40c8-9c58-4ca94b1c053e · outbound

This paper cites Multi-task reinforcement learning with context-based representations,.

LearningFlow: Automated Policy Learning Workflow for Urban Driving with Large Language Models Multi-task reinforcement learning with context-based representations,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:23:21.272809Z

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Observation 33c73be2-f491-47d7-9848-65a69a03f3c0 · outbound

This paper cites Multi-task safe reinforcement learning for navigating intersections in dense traffic,.

LearningFlow: Automated Policy Learning Workflow for Urban Driving with Large Language Models Multi-task safe reinforcement learning for navigating intersections in dense traffic,

Reference 24

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Observation b6b6c8c8-a115-4361-88db-723a0131e68a · outbound

This paper cites Learning robust rewards with adver- sarial inverse reinforcement learning,.

LearningFlow: Automated Policy Learning Workflow for Urban Driving with Large Language Models Learning robust rewards with adver- sarial inverse reinforcement learning,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:23:21.246587Z

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Observation 789bb713-f49d-43d3-b83a-ad2bf136fa4e · outbound

This paper cites A survey of inverse reinforcement learning: Challenges, methods and progress,.

LearningFlow: Automated Policy Learning Workflow for Urban Driving with Large Language Models A survey of inverse reinforcement learning: Challenges, methods and progress,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:23:21.231100Z

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Observation 28f613bb-6432-4abc-a2c8-3a3a042ffbf2 · outbound

This paper cites Driving in Real Life with Inverse Reinforcement Learning.

LearningFlow: Automated Policy Learning Workflow for Urban Driving with Large Language Models Driving in Real Life with Inverse Reinforcement Learning

Reference 27

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Observation b41c043b-1c5e-4adc-a821-4921d35ed981 · outbound

This paper cites Interaction- aware planning with deep inverse reinforcement learning for human- like autonomous driving in merge scenarios,.

LearningFlow: Automated Policy Learning Workflow for Urban Driving with Large Language Models Interaction- aware planning with deep inverse reinforcement learning for human- like autonomous driving in merge scenarios,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:23:21.215211Z

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Observation 789b3bd2-a072-4580-9df5-9c3794684af9 · outbound

This paper cites Exploration-guided reward shaping for reinforcement learning under sparse rewards,.

LearningFlow: Automated Policy Learning Workflow for Urban Driving with Large Language Models Exploration-guided reward shaping for reinforcement learning under sparse rewards,

Reference 29

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Observation 5f299bd2-c4e6-4bba-8554-bc866c1063ab · outbound

This paper cites Reward design with language models,.

LearningFlow: Automated Policy Learning Workflow for Urban Driving with Large Language Models Reward design with language models,

Reference 30

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Observation 446c984c-96db-47ba-b3e0-1cd406111cdf · outbound

This paper cites Auto mc-reward: Automated dense reward design with large language models for minecraft,.

LearningFlow: Automated Policy Learning Workflow for Urban Driving with Large Language Models Auto mc-reward: Automated dense reward design with large language models for minecraft,

Reference 31

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Observation 59b10c27-b8e1-485b-910e-f3987c1abe18 · outbound

This paper cites Centralized cooperation for connected and automated vehicles at intersections by proximal policy optimization,.

LearningFlow: Automated Policy Learning Workflow for Urban Driving with Large Language Models Centralized cooperation for connected and automated vehicles at intersections by proximal policy optimization,

Reference 32

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Observation c716c27f-ea00-4d90-869d-73f577d50742 · outbound

This paper cites Au- tonomous overtaking in Gran Turismo sport using curriculum rein- forcement learning,.

LearningFlow: Automated Policy Learning Workflow for Urban Driving with Large Language Models Au- tonomous overtaking in Gran Turismo sport using curriculum rein- forcement learning,

Reference 33

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Observation 9cf8110e-3dcd-4e19-946f-b4a48bf8ecf8 · outbound

This paper cites Curriculum proximal policy optimization with stage-decaying clipping for self- driving at unsignalized intersections,.

LearningFlow: Automated Policy Learning Workflow for Urban Driving with Large Language Models Curriculum proximal policy optimization with stage-decaying clipping for self- driving at unsignalized intersections,

Reference 34

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Observation e1aee4d8-f551-4c9a-8e0f-c30ce08419c8 · outbound

This paper cites Automatically generated curriculum based reinforcement learning for autonomous vehicles in urban environment,.

LearningFlow: Automated Policy Learning Workflow for Urban Driving with Large Language Models Automatically generated curriculum based reinforcement learning for autonomous vehicles in urban environment,

Reference 35

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Observation 0416e0e1-a419-4132-bc30-1490c7312021 · outbound

This paper cites State dropout-based curriculum reinforce- ment learning for self-driving at unsignalized intersections,.

LearningFlow: Automated Policy Learning Workflow for Urban Driving with Large Language Models State dropout-based curriculum reinforce- ment learning for self-driving at unsignalized intersections,

Reference 36

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Observation cdb15ce1-6d61-499a-8a4d-533f928856c0 · outbound

This paper cites Dilu: A knowledge-driven approach to autonomous driving with large language models,.

LearningFlow: Automated Policy Learning Workflow for Urban Driving with Large Language Models Dilu: A knowledge-driven approach to autonomous driving with large language models,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:23:21.077356Z

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Observation e259233e-f6b9-4eec-900a-137ebd7b56ee · outbound

This paper cites Drivegpt4: Interpretable end-to-end autonomous driving via large language model,.

LearningFlow: Automated Policy Learning Workflow for Urban Driving with Large Language Models Drivegpt4: Interpretable end-to-end autonomous driving via large language model,

Reference 38

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This paper cites Drivemlm: Aligning multi-modal large language models with behavioral planning states for autonomous driving,.

LearningFlow: Automated Policy Learning Workflow for Urban Driving with Large Language Models Drivemlm: Aligning multi-modal large language models with behavioral planning states for autonomous driving,

Reference 39

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This paper cites DriveVLM: The Convergence of Autonomous Driving and Large Vision-Language Models.

LearningFlow: Automated Policy Learning Workflow for Urban Driving with Large Language Models DriveVLM: The Convergence of Autonomous Driving and Large Vision-Language Models

Reference 40

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Observation 02c69e66-2a6d-44f3-a89e-e2256b3ab263 · outbound

This paper cites Language to 14 rewards for robotic skill synthesis,.

LearningFlow: Automated Policy Learning Workflow for Urban Driving with Large Language Models Language to 14 rewards for robotic skill synthesis,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:23:21.052323Z

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Observation 68c4d726-39aa-4b74-bb02-d46ad8466384 · outbound

This paper cites REvolve: Reward Evolution with Large Language Models using Human Feedback.

LearningFlow: Automated Policy Learning Workflow for Urban Driving with Large Language Models REvolve: Reward Evolution with Large Language Models using Human Feedback

Reference 42

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This paper cites Human-centric Reward Optimization for Reinforcement Learning-based Automated Driving using Large Language Models.

LearningFlow: Automated Policy Learning Workflow for Urban Driving with Large Language Models Human-centric Reward Optimization for Reinforcement Learning-based Automated Driving using Large Language Models

Reference 43

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Observation ffc041d8-05e7-4446-bb53-c5b3fd2806a1 · outbound

This paper cites Dreureka: Language model guided sim-to-real transfer,.

LearningFlow: Automated Policy Learning Workflow for Urban Driving with Large Language Models Dreureka: Language model guided sim-to-real transfer,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:23:21.037687Z

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Observation 5581ed92-4026-4e92-9517-87ced3da2592 · outbound

This paper cites CurricuLLM: Automatic Task Curricula Design for Learning Complex Robot Skills using Large Language Models.

LearningFlow: Automated Policy Learning Workflow for Urban Driving with Large Language Models CurricuLLM: Automatic Task Curricula Design for Learning Complex Robot Skills using Large Language Models

Reference 45

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Source-reported events for the cited work

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This paper cites Autoreward: Closed-loop reward design with large language models for autonomous driving,.

LearningFlow: Automated Policy Learning Workflow for Urban Driving with Large Language Models Autoreward: Closed-loop reward design with large language models for autonomous driving,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:23:21.022341Z

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Observation 5daacbbd-efdb-4c6d-8b54-aad17f5a9e0d · outbound

This paper cites CARLA: An open urban driving simulator,.

LearningFlow: Automated Policy Learning Workflow for Urban Driving with Large Language Models CARLA: An open urban driving simulator,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:23:21.006570Z

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Observation b92082a0-f68c-421f-b25e-6141fb0a4740 · outbound

This paper cites Proximal Policy Optimization Algorithms.

LearningFlow: Automated Policy Learning Workflow for Urban Driving with Large Language Models Proximal Policy Optimization Algorithms

Reference 48

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Observation 050329e2-104a-4e2a-a88b-f2352da2604c · outbound

This paper cites Casadi: a software framework for nonlinear optimization and optimal control,.

LearningFlow: Automated Policy Learning Workflow for Urban Driving with Large Language Models Casadi: a software framework for nonlinear optimization and optimal control,

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-10T21:23:20.545675Z

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Pith citing papers

Observation eedf6962-2325-4712-84a7-9fae99fe9538 · inbound

HCRMP: A LLM-Hinted Contextual Reinforcement Learning Framework for Autonomous Driving cites this paper.

HCRMP: A LLM-Hinted Contextual Reinforcement Learning Framework for Autonomous Driving LearningFlow: Automated Policy Learning Workflow for Urban Driving with Large Language Models

Reference 28

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Source-reported events for the cited work

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