Paper Citation Record · LEDGER

Towards Autonomous Wood-Log Grasping with a Forestry Crane: Simulator and Benchmarking

As of 18 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2502.01304.

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

pith.paper-citation-record.v1
2502.01304 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T15:50:11.540377Z

measured 36 of 36 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

36 of 36 outbound references displayed

verified exact1
verified fuzzy29
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bb35be3b-6cf2-4cdb-a281-41786ce1fa1e · outbound

This paper cites Increasing the level of automation in the forestry logging process with crane trajectory planning and control,.

Towards Autonomous Wood-Log Grasping with a Forestry Crane: Simulator and Benchmarking Increasing the level of automation in the forestry logging process with crane trajectory planning and control,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:50:12.112744Z

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 71dfb458-094c-4a33-8e24-73c44fa2a0b2 · outbound

This paper cites Coordinated motion of a hydraulic forestry crane and a vehicle using nonlinear model predictive control,.

Towards Autonomous Wood-Log Grasping with a Forestry Crane: Simulator and Benchmarking Coordinated motion of a hydraulic forestry crane and a vehicle using nonlinear model predictive control,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:50:12.097017Z

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 84f91062-cbc1-4268-a744-21bd6775c616 · outbound

This paper cites How to train your robot with deep reinforcement learning: lessons we have learned,.

Towards Autonomous Wood-Log Grasping with a Forestry Crane: Simulator and Benchmarking How to train your robot with deep reinforcement learning: lessons we have learned,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-09T15:50:11.374743Z

Source-reported events for the cited work

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Observation 2bb018f1-e3d3-4334-986f-d08ec3a06422 · outbound

This paper cites The limits and potentials of deep learning for robotics,.

Towards Autonomous Wood-Log Grasping with a Forestry Crane: Simulator and Benchmarking The limits and potentials of deep learning for robotics,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:50:12.071605Z

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 fb590277-a520-4766-8066-d69af03394be · outbound

This paper cites Language-driven 6-dof grasp detection using negative prompt guidance,.

Towards Autonomous Wood-Log Grasping with a Forestry Crane: Simulator and Benchmarking Language-driven 6-dof grasp detection using negative prompt guidance,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:50:12.056729Z

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 d52d77c9-2991-4787-8d34-c52bfbeb7553 · outbound

This paper cites Robohive: A unified framework for robot learn- ing,.

Towards Autonomous Wood-Log Grasping with a Forestry Crane: Simulator and Benchmarking Robohive: A unified framework for robot learn- ing,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:50:12.041738Z

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 09d017d9-2192-44ea-ad13-c78be7f69e34 · outbound

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

Towards Autonomous Wood-Log Grasping with a Forestry Crane: Simulator and Benchmarking Orbit: A unified simulation framework for interactive robot learning environments,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:50:12.027106Z

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 647a4b03-422e-43c6-a397-2fca5594694a · outbound

This paper cites Grasp-anything: Large-scale grasp dataset from foundation models,.

Towards Autonomous Wood-Log Grasping with a Forestry Crane: Simulator and Benchmarking Grasp-anything: Large-scale grasp dataset from foundation models,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:50:12.012292Z

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 7d25df08-d99a-460c-81fa-15336f31ec17 · outbound

This paper cites Dexterous robotic manipulation using deep reinforcement learning and knowledge transfer for complex sparse reward-based tasks,.

Towards Autonomous Wood-Log Grasping with a Forestry Crane: Simulator and Benchmarking Dexterous robotic manipulation using deep reinforcement learning and knowledge transfer for complex sparse reward-based tasks,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:50:11.997668Z

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 2e7782eb-2306-4315-95d6-5840487d9175 · outbound

This paper cites Hacman: Learning hybrid actor-critic maps for 6d non-prehensile manipulation,.

Towards Autonomous Wood-Log Grasping with a Forestry Crane: Simulator and Benchmarking Hacman: Learning hybrid actor-critic maps for 6d non-prehensile manipulation,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:50:11.982989Z

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 02197211-50bd-4d42-acfc-7f708db68340 · outbound

This paper cites Language-driven grasp detection,.

Towards Autonomous Wood-Log Grasping with a Forestry Crane: Simulator and Benchmarking Language-driven grasp detection,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:50:11.968118Z

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 58c55e79-0b68-40c0-95de-e1abe801043b · outbound

This paper cites Online Trajectory Replanner for Dynamically Grasping Irregular Objects.

Towards Autonomous Wood-Log Grasping with a Forestry Crane: Simulator and Benchmarking Online Trajectory Replanner for Dynamically Grasping Irregular Objects

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-08-09T15:50:11.620324Z

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 cc01db21-b869-4e83-ba76-ecea356c0020 · outbound

This paper cites Maniskill: Generalizable manipulation skill bench- mark with large-scale demonstrations,.

Towards Autonomous Wood-Log Grasping with a Forestry Crane: Simulator and Benchmarking Maniskill: Generalizable manipulation skill bench- mark with large-scale demonstrations,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:50:11.953458Z

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 6cbaf221-fe7b-44c3-bdec-ca667b89d819 · outbound

This paper cites Reinforcement learning control of a forestry crane manipulator,.

Towards Autonomous Wood-Log Grasping with a Forestry Crane: Simulator and Benchmarking Reinforcement learning control of a forestry crane manipulator,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:50:11.939038Z

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 f7f9dfe4-5b04-4f6c-a993-2676783fcf30 · outbound

This paper cites Grasp planning with cnn for log-loading forestry machine,.

Towards Autonomous Wood-Log Grasping with a Forestry Crane: Simulator and Benchmarking Grasp planning with cnn for log-loading forestry machine,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:50:11.924149Z

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 eded9911-d639-48af-98f1-5bd9e152fbdc · outbound

This paper cites Nonlinear model predictive control of hydraulic forestry crane with automatic sway damping,.

Towards Autonomous Wood-Log Grasping with a Forestry Crane: Simulator and Benchmarking Nonlinear model predictive control of hydraulic forestry crane with automatic sway damping,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:50:11.909174Z

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 ddbcd853-547a-41eb-9749-1e94bce9f1e0 · outbound

This paper cites Model-based development of control systems for forestry cranes,.

Towards Autonomous Wood-Log Grasping with a Forestry Crane: Simulator and Benchmarking Model-based development of control systems for forestry cranes,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:50:11.893230Z

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 ac3565a7-703f-41c4-a298-dbda0a50e682 · outbound

This paper cites Autonomous control of redundant hydraulic manipulator using reinforcement learning with action feedback,.

Towards Autonomous Wood-Log Grasping with a Forestry Crane: Simulator and Benchmarking Autonomous control of redundant hydraulic manipulator using reinforcement learning with action feedback,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:50:11.877947Z

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 ad08f0a2-2ae5-46e1-a9e4-387b693992eb · outbound

This paper cites Proximal Policy Optimization Algorithms.

Towards Autonomous Wood-Log Grasping with a Forestry Crane: Simulator and Benchmarking Proximal Policy Optimization Algorithms

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-09T15:50:11.458667Z

Source-reported events for the cited work

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Observation 4c9cb740-f47d-4fc5-a345-78c93ad05137 · outbound

This paper cites AGX Dynamics,.

Towards Autonomous Wood-Log Grasping with a Forestry Crane: Simulator and Benchmarking AGX Dynamics,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:50:11.862992Z

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 7c450657-a08c-42c6-856b-822ef3fa758c · outbound

This paper cites Iterative linear quadratic regulator for collision-free trajectory optimization and model predictive control of a timber crane,.

Towards Autonomous Wood-Log Grasping with a Forestry Crane: Simulator and Benchmarking Iterative linear quadratic regulator for collision-free trajectory optimization and model predictive control of a timber crane,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:50:11.847565Z

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 b6aa64fa-bc1b-4455-af15-5fd4507dc963 · outbound

This paper cites an unresolved cited work.

Towards Autonomous Wood-Log Grasping with a Forestry Crane: Simulator and Benchmarking Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-09T15:50:11.832269Z

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 14d8580d-be03-4f38-9075-ad7a7f1d4608 · outbound

This paper cites Mujoco: A physics engine for model-based control,.

Towards Autonomous Wood-Log Grasping with a Forestry Crane: Simulator and Benchmarking Mujoco: A physics engine for model-based control,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:50:11.816550Z

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 bf41edc3-d875-477f-aeed-94a9cf23beef · outbound

This paper cites Interactive modeling of implicit surfaces using a direct visualization approach with signed distance functions,.

Towards Autonomous Wood-Log Grasping with a Forestry Crane: Simulator and Benchmarking Interactive modeling of implicit surfaces using a direct visualization approach with signed distance functions,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:50:11.800101Z

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 e3efb8f2-4f77-46b4-bcc2-349c7950ed4b · outbound

This paper cites Understanding domain randomization for sim-to-real transfer,.

Towards Autonomous Wood-Log Grasping with a Forestry Crane: Simulator and Benchmarking Understanding domain randomization for sim-to-real transfer,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:50:11.783566Z

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 29870471-050d-4b77-8db3-97e17d462cae · outbound

This paper cites How to pick the domain randomization parameters for sim-to-real transfer of reinforcement learning policies?.

Towards Autonomous Wood-Log Grasping with a Forestry Crane: Simulator and Benchmarking How to pick the domain randomization parameters for sim-to-real transfer of reinforcement learning policies?

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-09T15:50:11.492469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe75b2e8-3416-45ac-94f3-56c818e04e22 · outbound

This paper cites Bundlesdf: Neural 6-dof tracking and 3d reconstruction of unknown objects,.

Towards Autonomous Wood-Log Grasping with a Forestry Crane: Simulator and Benchmarking Bundlesdf: Neural 6-dof tracking and 3d reconstruction of unknown objects,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:50:11.766219Z

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 7c81759f-f21f-486d-b140-db75dfc8bbb2 · outbound

This paper cites Improving stochastic policy gradients in continuous control with deep reinforcement learning using the beta distribution,.

Towards Autonomous Wood-Log Grasping with a Forestry Crane: Simulator and Benchmarking Improving stochastic policy gradients in continuous control with deep reinforcement learning using the beta distribution,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:50:11.751235Z

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 56e1d7b5-0770-427c-a348-a2d8bfd16ef4 · outbound

This paper cites Leonhard euler’s integral: A historical profile of the gamma function: In memoriam: Milton abramowitz,.

Towards Autonomous Wood-Log Grasping with a Forestry Crane: Simulator and Benchmarking Leonhard euler’s integral: A historical profile of the gamma function: In memoriam: Milton abramowitz,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:50:11.734628Z

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 8fb6c67d-ecc7-49c1-b2e6-5da8e73d8947 · outbound

This paper cites Policy gradient algorithms,.

Towards Autonomous Wood-Log Grasping with a Forestry Crane: Simulator and Benchmarking Policy gradient algorithms,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:50:11.718598Z

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 3e2b8a89-5c44-4517-8001-13f3dacdce9b · outbound

This paper cites Cleanrl: High-quality single-file implementations of deep reinforcement learning algorithms,.

Towards Autonomous Wood-Log Grasping with a Forestry Crane: Simulator and Benchmarking Cleanrl: High-quality single-file implementations of deep reinforcement learning algorithms,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:50:11.703244Z

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 cfc8a213-a487-43bd-bb0b-a648998a94a0 · outbound

This paper cites Conjugate gradient method,.

Towards Autonomous Wood-Log Grasping with a Forestry Crane: Simulator and Benchmarking Conjugate gradient method,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-09T15:50:11.521810Z

Source-reported events for the cited work

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Observation cf5ae53d-3ab7-4444-a8a6-6a2c0d0b79a5 · outbound

This paper cites Stable-baselines3: Reliable reinforcement learning im- plementations,.

Towards Autonomous Wood-Log Grasping with a Forestry Crane: Simulator and Benchmarking Stable-baselines3: Reliable reinforcement learning im- plementations,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:50:11.678179Z

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 f9824711-b341-43a3-a275-7d3b865fec15 · outbound

This paper cites Adam: A method for stochastic optimiza- tion,.

Towards Autonomous Wood-Log Grasping with a Forestry Crane: Simulator and Benchmarking Adam: A method for stochastic optimiza- tion,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:50:11.662717Z

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 a027289c-9302-49b5-be30-2eb10735f31a · outbound

This paper cites Trust region policy optimization,.

Towards Autonomous Wood-Log Grasping with a Forestry Crane: Simulator and Benchmarking Trust region policy optimization,

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-09T15:50:11.535746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e46faedc-56a4-4136-b89c-5cc518f02c11 · outbound

This paper cites The 37 implementation details of proximal policy optimization,.

Towards Autonomous Wood-Log Grasping with a Forestry Crane: Simulator and Benchmarking The 37 implementation details of proximal policy optimization,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:50:11.637024Z

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.

Pith citing papers

No inbound Pith citation observations are available.