Paper Citation Record · LEDGER

End-to-End Crop Row Navigation via LiDAR-Based Deep Reinforcement Learning

As of 9 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2509.18608.

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

pith.paper-citation-record.v1
2509.18608 v2

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T15:45:50.039437Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

25 of 25 outbound references displayed

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verified fuzzy0
unresolved25
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 911f3411-1721-421f-a877-f160664670d2 · outbound

This paper cites Tracking error learning control for precise mobile robot path tracking in outdoor environment,.

End-to-End Crop Row Navigation via LiDAR-Based Deep Reinforcement Learning Tracking error learning control for precise mobile robot path tracking in outdoor environment,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-04T15:45:49.966592Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19e07c5f-7151-4ae0-9ca5-7c66c68365c2 · outbound

This paper cites Breaking the field phenotyping bottleneck in maize with autonomous robots,.

End-to-End Crop Row Navigation via LiDAR-Based Deep Reinforcement Learning Breaking the field phenotyping bottleneck in maize with autonomous robots,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-04T15:45:49.970570Z

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Observation 7fefc507-3d43-4193-9918-eb918942ba39 · outbound

This paper cites Cropnav: a framework for au- tonomous navigation in real farms,.

End-to-End Crop Row Navigation via LiDAR-Based Deep Reinforcement Learning Cropnav: a framework for au- tonomous navigation in real farms,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-04T15:45:49.973958Z

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Observation dc1a00b4-1349-405a-aa97-f64077ad53b3 · outbound

This paper cites Demonstrating cropfollow++: Robust under-canopy navigation with keypoints,.

End-to-End Crop Row Navigation via LiDAR-Based Deep Reinforcement Learning Demonstrating cropfollow++: Robust under-canopy navigation with keypoints,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-04T15:45:49.977121Z

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Unavailable: canonical work link unavailable.

Observation 7d54c530-e81e-4e28-8a09-86e33837322e · outbound

This paper cites End-to-end learning for autonomous crop row-following,.

End-to-End Crop Row Navigation via LiDAR-Based Deep Reinforcement Learning End-to-end learning for autonomous crop row-following,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-04T15:45:49.980421Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 446ef04d-3419-4bc1-baed-d8f6cefe493b · outbound

This paper cites Using a depth camera for crop row detection and mapping for under-canopy navigation of agricultural robotic vehicle,.

End-to-End Crop Row Navigation via LiDAR-Based Deep Reinforcement Learning Using a depth camera for crop row detection and mapping for under-canopy navigation of agricultural robotic vehicle,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-04T15:45:49.983556Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 397ae6c1-319d-44e5-8e6f-95215b8cd388 · outbound

This paper cites Multi-sensor fusion based robust row following for compact agricultural robots,.

End-to-End Crop Row Navigation via LiDAR-Based Deep Reinforcement Learning Multi-sensor fusion based robust row following for compact agricultural robots,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-04T15:45:49.986798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation caa23430-4ed9-4c1e-be85-c5608c784476 · outbound

This paper cites Under canopy light detection and ranging-based autonomous navigation,.

End-to-End Crop Row Navigation via LiDAR-Based Deep Reinforcement Learning Under canopy light detection and ranging-based autonomous navigation,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-04T15:45:49.989638Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8013a3e6-572b-47a7-9950-a926d2fffd80 · outbound

This paper cites Quantifying the lidar sim-to-real domain shift: A detailed investigation using object detectors and analyzing point clouds at target-level,.

End-to-End Crop Row Navigation via LiDAR-Based Deep Reinforcement Learning Quantifying the lidar sim-to-real domain shift: A detailed investigation using object detectors and analyzing point clouds at target-level,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-04T15:45:49.993132Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c805761-4f94-45d5-873e-0c19e6e4f547 · outbound

This paper cites Localization for precision navigation in agricultural fields—beyond crop row following,.

End-to-End Crop Row Navigation via LiDAR-Based Deep Reinforcement Learning Localization for precision navigation in agricultural fields—beyond crop row following,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T15:45:49.995916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b609e26-66af-4c1d-821a-91b7d754354c · outbound

This paper cites Autonomous Navigation of 4WIS4WID Agricultural Field Mobile Robot using Deep Reinforcement Learning.

End-to-End Crop Row Navigation via LiDAR-Based Deep Reinforcement Learning Autonomous Navigation of 4WIS4WID Agricultural Field Mobile Robot using Deep Reinforcement Learning

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T15:45:49.999069Z

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Observation d98aeabd-1a0d-4e21-a19c-de169acf4ab5 · outbound

This paper cites An end-to-end learning- based row-following system for an agricultural robot in structured apple orchards,.

End-to-End Crop Row Navigation via LiDAR-Based Deep Reinforcement Learning An end-to-end learning- based row-following system for an agricultural robot in structured apple orchards,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-04T15:45:50.002127Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2042e197-faaa-41da-8946-58223789d926 · outbound

This paper cites of Illinois College of ACES.

End-to-End Crop Row Navigation via LiDAR-Based Deep Reinforcement Learning of Illinois College of ACES

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-04T15:45:50.005019Z

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Unavailable: canonical work link unavailable.

Observation 5b37d7ea-26e1-4f60-a001-5f2822339b22 · outbound

This paper cites Learned visual navigation for under- canopy agricultural robots,.

End-to-End Crop Row Navigation via LiDAR-Based Deep Reinforcement Learning Learned visual navigation for under- canopy agricultural robots,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-04T15:45:50.007959Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d22759cb-8f73-42a1-9f86-5999d69a3a57 · outbound

This paper cites Navigating with finesse: Leveraging neural network-based lidar per- ception and ilqr control for intelligent agriculture robotics,.

End-to-End Crop Row Navigation via LiDAR-Based Deep Reinforcement Learning Navigating with finesse: Leveraging neural network-based lidar per- ception and ilqr control for intelligent agriculture robotics,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T15:45:50.010891Z

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Observation 09cf67bd-c150-4921-97b2-feab99b7e0c8 · outbound

This paper cites Crow: A self-supervised crop row navigation algorithm for agricultural fields,.

End-to-End Crop Row Navigation via LiDAR-Based Deep Reinforcement Learning Crow: A self-supervised crop row navigation algorithm for agricultural fields,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-04T15:45:50.013724Z

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Observation ec24e2a4-8fb7-4ff4-bebf-2e3d47f1bf78 · outbound

This paper cites Lifelike agility and play in quadrupedal robots using reinforcement learning and generative pre- trained models,.

End-to-End Crop Row Navigation via LiDAR-Based Deep Reinforcement Learning Lifelike agility and play in quadrupedal robots using reinforcement learning and generative pre- trained models,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T15:45:50.016425Z

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Unavailable: canonical work link unavailable.

Observation b8b9d289-06e7-4529-b2f9-2229ed96e9a0 · outbound

This paper cites Goal-driven autonomous exploration through deep reinforcement learning,.

End-to-End Crop Row Navigation via LiDAR-Based Deep Reinforcement Learning Goal-driven autonomous exploration through deep reinforcement learning,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-04T15:45:50.019191Z

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Unavailable: canonical work link unavailable.

Observation 4cc5fdff-7f5b-410c-87c5-2d31202e707f · outbound

This paper cites Learning robust perceptive locomotion for quadrupedal robots in the wild,.

End-to-End Crop Row Navigation via LiDAR-Based Deep Reinforcement Learning Learning robust perceptive locomotion for quadrupedal robots in the wild,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-04T15:45:50.021748Z

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Unavailable: canonical work link unavailable.

Observation bbfba2fa-7e4f-44ae-8468-52097d2189b0 · outbound

This paper cites Learning quadrupedal locomotion over challenging terrain,.

End-to-End Crop Row Navigation via LiDAR-Based Deep Reinforcement Learning Learning quadrupedal locomotion over challenging terrain,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-04T15:45:50.024537Z

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Unavailable: canonical work link unavailable.

Observation 3d9169d7-3c53-4a64-88db-feb5ee5545d1 · outbound

This paper cites CaRL: Learning Scalable Planning Policies with Simple Rewards.

End-to-End Crop Row Navigation via LiDAR-Based Deep Reinforcement Learning CaRL: Learning Scalable Planning Policies with Simple Rewards

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-04T15:45:50.027870Z

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Observation f30e4af4-93a6-41be-a377-f0c6a1434e11 · outbound

This paper cites Proximal Policy Optimization Algorithms.

End-to-End Crop Row Navigation via LiDAR-Based Deep Reinforcement Learning Proximal Policy Optimization Algorithms

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-04T15:45:50.030890Z

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Observation b0620aa8-eb25-4cd6-84ff-35c4bd32b96a · outbound

This paper cites Embedded high preci- sion control and corn stand counting algorithms for an ultra-compact 3d printed field robot.

End-to-End Crop Row Navigation via LiDAR-Based Deep Reinforcement Learning Embedded high preci- sion control and corn stand counting algorithms for an ultra-compact 3d printed field robot

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-04T15:45:50.034032Z

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Observation e0d0f475-d450-49e8-9c9e-735b961722ad · outbound

This paper cites Orbit: A unified simulation framework for interactive robot learning environments,.

End-to-End Crop Row Navigation via LiDAR-Based Deep Reinforcement Learning Orbit: A unified simulation framework for interactive robot learning environments,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-04T15:45:50.036633Z

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Unavailable: canonical work link unavailable.

Observation 2a6661cc-b6f7-4548-995b-a178c868a1a9 · outbound

This paper cites RSL-RL: A Learning Library for Robotics Research.

End-to-End Crop Row Navigation via LiDAR-Based Deep Reinforcement Learning RSL-RL: A Learning Library for Robotics Research

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-04T15:45:50.039437Z

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Pith citing papers

No inbound Pith citation observations are available.