Pith. sign in

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 2026-08-09T06:31:02.800959+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

  • verified exact0
  • verified fuzzy0
  • unresolved25
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

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.

source=pdf_text observed=2026-08-04T15:45:49.966592Z digest=sha256:b19103d973c6902bc0ca110e690a2b4205d0c66cbf04dbdb4153612cb0bdf95f

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T15:45:49.970570Z digest=sha256:e37418c3580ef4644c807ecd14803826f1ea0082b59519c93da99dc8cd00e87c

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T15:45:49.973958Z digest=sha256:e1b645731388d0184a12bdc2f1eb2394b0fbf4412e9073558b7e1af218faf167

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T15:45:49.977121Z digest=sha256:74cb29e79056e65f40332dedc5a03ac4cba34b1426ea42a33b9778b4474d47a8

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.

source=pdf_text observed=2026-08-04T15:45:49.980421Z digest=sha256:8e2b6fd6d7dacdd5fe937369bd344c52a37343165177411a76c4dbaa96182a6b

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.

source=pdf_text observed=2026-08-04T15:45:49.983556Z digest=sha256:76a50a811c04a3d814419a39c3b111f6c7f28a3a9ddc4ed3a93f166007c9b9a9

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.

source=pdf_text observed=2026-08-04T15:45:49.986798Z digest=sha256:7a299fde1acabe10104f36df6db66c7137aaef5c8690423410b835f41329424d

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.

source=pdf_text observed=2026-08-04T15:45:49.989638Z digest=sha256:f7069aec72bf929d44255a76b3c533698b99613b884aece3677760a91ff9bcf1

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.

source=pdf_text observed=2026-08-04T15:45:49.993132Z digest=sha256:f7afd8cf69dc341c155ca18395791374670d0f32262478d847751d0ca0dc8541

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.

source=pdf_text observed=2026-08-04T15:45:49.995916Z digest=sha256:b431f4f1d382dd44527199ee321e3e8e7a6354309159eac37d6d71fcef12fc7e

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T15:45:49.999069Z digest=sha256:fcb241d0ca8843e6091c8490a6838b2ebce729b3f9ce2287bfca904767a90a9b

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.

source=pdf_text observed=2026-08-04T15:45:50.002127Z digest=sha256:bbc19e00e5ba6465857c4f6155b3ac2e3c1244fcba9eae016025de692e12f66c

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T15:45:50.005019Z digest=sha256:3be15b6f96f209d57d2bf4adac163c422478c688727f7ec99a3ae1ea374afa32

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.

source=pdf_text observed=2026-08-04T15:45:50.007959Z digest=sha256:100fcb5f27f84bdb6e0b5b0ec360779f36eb9e381d2c66a8b5d87026afaa0117

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T15:45:50.010891Z digest=sha256:051086b9984f243cbe71352f28fe939b7043242cbde75dbd35b4f58056a081f9

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T15:45:50.013724Z digest=sha256:34050e063e50ac2d1fb158e9c0f1876153b429fbaae8155c651f307880c90ec7

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T15:45:50.016425Z digest=sha256:c6f249810aa162eb23629d46790a3da6ef028c543ebc55c66c33d3097fed5781

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T15:45:50.019191Z digest=sha256:27dedcf27e29e1b9ea542957a527285af67988e4e9d8b4e8b75fda60e9aeebd8

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T15:45:50.021748Z digest=sha256:e38cc1db715c294dd236c0a8c76aa1233d04c4f47e311539dbe1e7cb1a5d11d5

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T15:45:50.024537Z digest=sha256:2b840f22384fd72a6b328c2234144374d5810cbd89057a18bcfc7adccb038364

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T15:45:50.027870Z digest=sha256:f0b66b6e6665fdc96b2d137b491e225567a39b51158e3c08cd6e1c54e9ad79c5

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T15:45:50.030890Z digest=sha256:dc19464991df3aa4f73b81729af49670734d6f6c4221a96dc139dc67497d4eb9

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T15:45:50.034032Z digest=sha256:9f8811ae8e0b296a2c9b150c303d60dc6d34fa44bbeca09de8d6062e58c39156

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T15:45:50.036633Z digest=sha256:9a44c5e701f45e097f8f8cb57acc4b8c9f5104340614435ae7a30762a4832898

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T15:45:50.039437Z digest=sha256:ab0df990b5b91a13424b76229b3e824c17472d2c1268d95d49455f1ed4dad613

Pith citing papers

No inbound Pith citation observations are available.