Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-01T05:16:48.211264Z
Paper Citation Record · LEDGER
LeCropFollow: Latent Space Planning for Navigation in Unstructured Crop Fields
As of 17 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2606.31941.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
30 of 30 outbound references displayed
- verified exact0
- verified fuzzy30
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 696bbd17-624c-440f-b26e-337ae1fd1714 · outbound
This paper cites Breaking the field phenotyping bottleneck in maize with autonomous robots,.
LeCropFollow: Latent Space Planning for Navigation in Unstructured Crop Fields Breaking the field phenotyping bottleneck in maize with autonomous robots,
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-06T22:12:57.540734Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation d9b30b35-6738-4175-92ac-49aaf25d6d10 · outbound
This paper cites Crop phenotyping in a context of global change: What to measure and how to do it,.
LeCropFollow: Latent Space Planning for Navigation in Unstructured Crop Fields Crop phenotyping in a context of global change: What to measure and how to do it,
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-06T22:12:57.544810Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 3b35d201-ffe4-49ef-af21-f97e86501615 · outbound
This paper cites Multi-sensor fusion based robust row following for compact agricultural robots,.
LeCropFollow: Latent Space Planning for Navigation in Unstructured Crop Fields Multi-sensor fusion based robust row following for compact agricultural robots,
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-06T22:12:57.542756Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation ec69a2d1-c243-4cf1-84f0-3a296e7f60d4 · outbound
This paper cites CROW: A self-supervised crop row navigation algorithm for agricultural fields,.
LeCropFollow: Latent Space Planning for Navigation in Unstructured Crop Fields CROW: A self-supervised crop row navigation algorithm for agricultural fields,
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-06T22:12:57.538416Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 81b83212-125c-4ba7-a519-2159588940d8 · outbound
This paper cites Navigating with finesse: Leveraging neural network-based lidar per- ception and iLQR control for intelligent agriculture robotics,.
LeCropFollow: Latent Space Planning for Navigation in Unstructured Crop Fields Navigating with finesse: Leveraging neural network-based lidar per- ception and iLQR control for intelligent agriculture robotics,
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-06T22:12:57.536098Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 46fb01da-3d77-4def-bd99-2c950916a8f9 · outbound
This paper cites Demonstrating CropFollow++: Robust under-canopy navigation with keypoints,.
LeCropFollow: Latent Space Planning for Navigation in Unstructured Crop Fields Demonstrating CropFollow++: Robust under-canopy navigation with keypoints,
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-06T22:12:57.475218Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 90b79c71-e4fd-48eb-a354-2a1ed30f5525 · outbound
This paper cites Learned visual navigation for under-canopy agricultural robots,.
LeCropFollow: Latent Space Planning for Navigation in Unstructured Crop Fields Learned visual navigation for under-canopy agricultural robots,
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-06T22:12:57.477182Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 82cfecd6-0512-42d8-9936-15bcb004e212 · outbound
This paper cites Dyna, an integrated architecture for learning, planning, and reacting.
LeCropFollow: Latent Space Planning for Navigation in Unstructured Crop Fields Dyna, an integrated architecture for learning, planning, and reacting
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-06T22:12:57.479108Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 86a68952-32f6-415d-9bae-298a0e2f8780 · outbound
This paper cites Mastering diverse control tasks through world models,.
LeCropFollow: Latent Space Planning for Navigation in Unstructured Crop Fields Mastering diverse control tasks through world models,
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-06T22:12:57.469273Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 27a112d4-22ed-4e93-b580-df84e0c66c2c · outbound
This paper cites TD-MPC2: Scalable, robust world models for continuous control,.
LeCropFollow: Latent Space Planning for Navigation in Unstructured Crop Fields TD-MPC2: Scalable, robust world models for continuous control,
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-06T22:12:57.471340Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 7fcc700f-9067-4d2a-8331-855c539c4a18 · outbound
This paper cites Adaptive ultrasound-based tractor localization for semi-autonomous vineyard op- erations,.
LeCropFollow: Latent Space Planning for Navigation in Unstructured Crop Fields Adaptive ultrasound-based tractor localization for semi-autonomous vineyard op- erations,
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-06T22:12:57.473300Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation c7b63736-5934-4928-8375-aac89587ee57 · outbound
This paper cites S3K: Self-supervised semantic keypoints for robotic manipulation via multi- view consistency,.
LeCropFollow: Latent Space Planning for Navigation in Unstructured Crop Fields S3K: Self-supervised semantic keypoints for robotic manipulation via multi- view consistency,
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-06T22:12:57.480307Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation bc609ef8-ebdb-4f19-9673-9f2fe7e4f649 · outbound
This paper cites Dense object nets: Learn- ing dense visual object descriptors by and for robotic manipulation,.
LeCropFollow: Latent Space Planning for Navigation in Unstructured Crop Fields Dense object nets: Learn- ing dense visual object descriptors by and for robotic manipulation,
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-06T22:12:57.482619Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 710f6fde-057a-43fc-87ca-5a700a52f175 · outbound
This paper cites kPAM: Keypoint affordances for category-level robotic manipulation,.
LeCropFollow: Latent Space Planning for Navigation in Unstructured Crop Fields kPAM: Keypoint affordances for category-level robotic manipulation,
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-06T22:12:57.484580Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 5ceec778-d8e4-419d-8503-0393384ed1ab · outbound
This paper cites KETO: Learning keypoint representations for tool manipulation,.
LeCropFollow: Latent Space Planning for Navigation in Unstructured Crop Fields KETO: Learning keypoint representations for tool manipulation,
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-06T22:12:57.486943Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 190df400-e8de-4802-b23e-2369a0f7e2d9 · outbound
This paper cites End-to-end training of deep visuomotor policies,.
LeCropFollow: Latent Space Planning for Navigation in Unstructured Crop Fields End-to-end training of deep visuomotor policies,
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-06T22:12:57.516665Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 2dc26b43-15f7-4737-becb-5a1041d0216d · outbound
This paper cites R3M: A universal visual representation for robot manipulation,.
LeCropFollow: Latent Space Planning for Navigation in Unstructured Crop Fields R3M: A universal visual representation for robot manipulation,
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-06T22:12:57.519684Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 9cd93411-b7a7-41d6-9f33-fd64a5383dab · outbound
This paper cites Generative visual foresight meets task-agnostic pose estimation in robotic table-top manipulation,.
LeCropFollow: Latent Space Planning for Navigation in Unstructured Crop Fields Generative visual foresight meets task-agnostic pose estimation in robotic table-top manipulation,
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-06T22:12:57.531703Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 9bc9f546-187a-4134-bc13-32fc8f7d58de · outbound
This paper cites Learning to walk with less: a dyna-style approach to quadrupedal locomotion,.
LeCropFollow: Latent Space Planning for Navigation in Unstructured Crop Fields Learning to walk with less: a dyna-style approach to quadrupedal locomotion,
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-06T22:12:57.528251Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 06f913ed-f9c5-4fb2-bee3-a6d0d994d14b · outbound
This paper cites DINO-WM: World models on pre-trained visual features enable zero-shot planning,.
LeCropFollow: Latent Space Planning for Navigation in Unstructured Crop Fields DINO-WM: World models on pre-trained visual features enable zero-shot planning,
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-06T22:12:57.506036Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 877df077-4025-4774-9e1e-fbfeb14b262a · outbound
This paper cites End-to-end crop row navi- gation via LiDAR-based deep reinforcement learning,.
LeCropFollow: Latent Space Planning for Navigation in Unstructured Crop Fields End-to-end crop row navi- gation via LiDAR-based deep reinforcement learning,
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-06T22:12:57.508473Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation e5ac87fd-391e-4974-aeab-445b3ce087ff · outbound
This paper cites ATK: Automatic task-driven keypoint selection for robust policy learning,.
LeCropFollow: Latent Space Planning for Navigation in Unstructured Crop Fields ATK: Automatic task-driven keypoint selection for robust policy learning,
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-06T22:12:57.510735Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation a57f457c-62e5-491d-86ae-06afc558f14e · outbound
This paper cites Overcoming explicit en- vironment representations with geometric fabrics,.
LeCropFollow: Latent Space Planning for Navigation in Unstructured Crop Fields Overcoming explicit en- vironment representations with geometric fabrics,
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-06T22:12:57.501239Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 9bd354cb-ec04-4157-9f07-7a22f4e1e101 · outbound
This paper cites Rapidly adapting policies to the real-world via simulation-guided fine-tuning,.
LeCropFollow: Latent Space Planning for Navigation in Unstructured Crop Fields Rapidly adapting policies to the real-world via simulation-guided fine-tuning,
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-06T22:12:57.495310Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 0dc6ea5c-1926-4d70-a2e8-69b1d53abade · outbound
This paper cites Any-point trajectory modeling for policy learning,.
LeCropFollow: Latent Space Planning for Navigation in Unstructured Crop Fields Any-point trajectory modeling for policy learning,
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-06T22:12:57.498084Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation f8f5285c-7fe1-49a5-9a17-33db9ea32524 · outbound
This paper cites Deep residual learning for image recognition.
LeCropFollow: Latent Space Planning for Navigation in Unstructured Crop Fields Deep residual learning for image recognition
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-06T22:12:57.502808Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 9c203da2-38d8-4211-b411-e08a93a68f0b · outbound
This paper cites CaRL: Learning scalable planning policies with simple rewards,.
LeCropFollow: Latent Space Planning for Navigation in Unstructured Crop Fields CaRL: Learning scalable planning policies with simple rewards,
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-06T22:12:57.504871Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation a0b1bccd-e695-418c-84f7-e1e4e47b681a · outbound
This paper cites Model predictive path integral control: From theory to parallel computation.
LeCropFollow: Latent Space Planning for Navigation in Unstructured Crop Fields Model predictive path integral control: From theory to parallel computation
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-06T22:12:57.520857Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 72fc3f8d-9800-4406-a6fa-29a68265f675 · outbound
This paper cites Design and use paradigms for Gazebo, an open-source multi-robot simulator,.
LeCropFollow: Latent Space Planning for Navigation in Unstructured Crop Fields Design and use paradigms for Gazebo, an open-source multi-robot simulator,
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-06T22:12:57.534023Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation de5f0954-13e6-4345-88d7-d40396fdc0a0 · outbound
This paper cites Direct lidar-inertial odometry: Lightweight lio with continuous-time motion correction,.
LeCropFollow: Latent Space Planning for Navigation in Unstructured Crop Fields Direct lidar-inertial odometry: Lightweight lio with continuous-time motion correction,
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-06T22:12:57.491228Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Pith citing papers
No inbound Pith citation observations are available.