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Paper Citation Record · LEDGER

Reinforcement Learning for the Full Strawberry Harvesting Process: Obstacle Separation, Detachment, and Placement

As of 8 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2607.14708.

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

pith.paper-citation-record.v1
2607.14708 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T01:23:39.020873Z

measured 20 of 20 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

20 of 20 outbound references displayed

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  • verified fuzzy0
  • unresolved19
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3202e042-5ac3-40a0-b7a1-a2ee6d6e52d2 · outbound

This paper cites An autonomous strawberry-harvesting robot: Design, development, integration, and field evaluation,.

Reinforcement Learning for the Full Strawberry Harvesting Process: Obstacle Separation, Detachment, and Placement An autonomous strawberry-harvesting robot: Design, development, integration, and field evaluation,

Reference 1

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verified exact
doi, observed 2026-08-02T01:28:27.613645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation db88b58b-fccc-46d4-86d1-a0690b27c403 · outbound

This paper cites Develop- ment of a sweet pepper harvesting robot,.

Reinforcement Learning for the Full Strawberry Harvesting Process: Obstacle Separation, Detachment, and Placement Develop- ment of a sweet pepper harvesting robot,

Reference 2

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no resolver link, observed 2026-08-02T01:23:37.237890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 4eea0b64-259a-4a4c-b8a8-8470fcda5664 · outbound

This paper cites Towards an efficient tomato harvesting robot: 3d perception, manipulation, and end-effector,.

Reinforcement Learning for the Full Strawberry Harvesting Process: Obstacle Separation, Detachment, and Placement Towards an efficient tomato harvesting robot: 3d perception, manipulation, and end-effector,

Reference 3

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Unavailable: canonical work link unavailable.

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Observation 90bcbab4-76b1-468d-bf89-3757807c76d6 · outbound

This paper cites Overcoming the sim-to-real gap: Leveraging simulation to learn to explore for real-world rl,.

Reinforcement Learning for the Full Strawberry Harvesting Process: Obstacle Separation, Detachment, and Placement Overcoming the sim-to-real gap: Leveraging simulation to learn to explore for real-world rl,

Reference 4

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Unavailable: canonical work link unavailable.

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Observation d0e7f492-99d4-4ebb-9890-22da91b22abb · outbound

This paper cites Domain randomization for transferring deep neural networks from simulation to the real world,.

Reinforcement Learning for the Full Strawberry Harvesting Process: Obstacle Separation, Detachment, and Placement Domain randomization for transferring deep neural networks from simulation to the real world,

Reference 5

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no resolver link, observed 2026-08-02T01:23:37.483162Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:23:37.483162Z digest=sha256:7b5c993cb2ab585a4322962318bafd3563fd660677d575449c1442f39b48baa7

Observation 9a4dcf4e-dd93-4f9e-9089-34d0dfa51cd6 · outbound

This paper cites Zero-Shot Sim-to-Real Reinforcement Learning for Fruit Harvesting.

Reinforcement Learning for the Full Strawberry Harvesting Process: Obstacle Separation, Detachment, and Placement Zero-Shot Sim-to-Real Reinforcement Learning for Fruit Harvesting

Reference 6

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:23:37.596554Z digest=sha256:c5a0b617ff900a73f6e97f84458e4ca72ac1b28533e0520892ff385555d9402e

Observation dade4dfc-3cb6-401e-85af-588d4fab6a1f · outbound

This paper cites DrM: Mastering Visual Reinforcement Learning through Dormant Ratio Minimization.

Reinforcement Learning for the Full Strawberry Harvesting Process: Obstacle Separation, Detachment, and Placement DrM: Mastering Visual Reinforcement Learning through Dormant Ratio Minimization

Reference 7

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Unavailable: canonical work link unavailable.

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Observation ac320316-cc6b-4f04-b1a0-0e245fcf2f21 · outbound

This paper cites Reaching pruning locations in a vine using a deep reinforcement learning policy,.

Reinforcement Learning for the Full Strawberry Harvesting Process: Obstacle Separation, Detachment, and Placement Reaching pruning locations in a vine using a deep reinforcement learning policy,

Reference 8

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no resolver link, observed 2026-08-02T01:23:37.816265Z

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Unavailable: canonical work link unavailable.

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Observation 89dd65c1-c419-45b6-9c7f-c4dd1e539d16 · outbound

This paper cites An inverse kinematics solution for a series-parallel hybrid banana-harvesting robot based on deep reinforcement learning,.

Reinforcement Learning for the Full Strawberry Harvesting Process: Obstacle Separation, Detachment, and Placement An inverse kinematics solution for a series-parallel hybrid banana-harvesting robot based on deep reinforcement learning,

Reference 9

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no resolver link, observed 2026-08-02T01:23:37.919169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:23:37.919169Z digest=sha256:787bec74c03633d62bf91da7d1d55ae3b1488eced65b711f749e220a241c1da6

Observation ba978e1d-c7cf-40ba-a81c-8146bbc3fd16 · outbound

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

Reinforcement Learning for the Full Strawberry Harvesting Process: Obstacle Separation, Detachment, and Placement Mujoco: A physics engine for model-based control,

Reference 10

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no resolver link, observed 2026-08-02T01:23:38.096373Z

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Unavailable: canonical work link unavailable.

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Observation 5a37834a-7c73-4b1b-8d99-7317764015ff · outbound

This paper cites Deep reinforcement learning for robotic pushing and picking in cluttered environment,.

Reinforcement Learning for the Full Strawberry Harvesting Process: Obstacle Separation, Detachment, and Placement Deep reinforcement learning for robotic pushing and picking in cluttered environment,

Reference 11

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Unavailable: canonical work link unavailable.

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Observation 72dc5ad4-e41e-47da-a33e-5b6a7f0027f6 · outbound

This paper cites Sim-to-real reinforcement learning for deformable object manipulation,.

Reinforcement Learning for the Full Strawberry Harvesting Process: Obstacle Separation, Detachment, and Placement Sim-to-real reinforcement learning for deformable object manipulation,

Reference 12

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no resolver link, observed 2026-08-02T01:23:38.265056Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:23:38.265056Z digest=sha256:1e3c8b3459d65727aeed891c7369e08f0d50bc5dcc4f8be57f0792dcfd610c24

Observation c49481f9-4ab6-4a69-9eb9-4c2aa8c4f6e4 · outbound

This paper cites Softgym: Benchmarking deep reinforcement learning for deformable object manipulation,.

Reinforcement Learning for the Full Strawberry Harvesting Process: Obstacle Separation, Detachment, and Placement Softgym: Benchmarking deep reinforcement learning for deformable object manipulation,

Reference 13

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Unavailable: canonical work link unavailable.

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Observation 4fa539ab-1884-47fa-b1f6-464111f78fbe · outbound

This paper cites Serl: A software suite for sample-efficient robotic reinforcement learning,.

Reinforcement Learning for the Full Strawberry Harvesting Process: Obstacle Separation, Detachment, and Placement Serl: A software suite for sample-efficient robotic reinforcement learning,

Reference 14

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Unavailable: canonical work link unavailable.

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Observation 6a27fe8b-a79e-4151-bd00-823733c3ea73 · outbound

This paper cites Light-resilient visual regres- sion of strawberry ripeness for robotic harvesting,.

Reinforcement Learning for the Full Strawberry Harvesting Process: Obstacle Separation, Detachment, and Placement Light-resilient visual regres- sion of strawberry ripeness for robotic harvesting,

Reference 15

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no resolver link, observed 2026-08-02T01:23:38.590215Z

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Unavailable: canonical work link unavailable.

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Observation 3f9c8364-a01b-4227-8c66-223da92f6ee8 · outbound

This paper cites Find the fruit: Zero-shot sim2real rl for occlusion-aware plant manipulation,.

Reinforcement Learning for the Full Strawberry Harvesting Process: Obstacle Separation, Detachment, and Placement Find the fruit: Zero-shot sim2real rl for occlusion-aware plant manipulation,

Reference 16

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Unavailable: canonical work link unavailable.

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Observation 9dbe5fb5-9a09-40d6-babd-0afd96cde5ce · outbound

This paper cites Orbit: A unified simulation frame- work for interactive robot learning environments,.

Reinforcement Learning for the Full Strawberry Harvesting Process: Obstacle Separation, Detachment, and Placement Orbit: A unified simulation frame- work for interactive robot learning environments,

Reference 17

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Observation ed049782-c855-4f1f-a6cc-bd856b13961c · outbound

This paper cites Proximal Policy Optimization Algorithms.

Reinforcement Learning for the Full Strawberry Harvesting Process: Obstacle Separation, Detachment, and Placement Proximal Policy Optimization Algorithms

Reference 18

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Observation ab84ba71-78d3-4c14-bcaf-0ddfb560eb35 · outbound

This paper cites Push past green: Learning to look behind plant foliage by moving it,.

Reinforcement Learning for the Full Strawberry Harvesting Process: Obstacle Separation, Detachment, and Placement Push past green: Learning to look behind plant foliage by moving it,

Reference 19

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Observation 1fbe42b1-f87a-4e0f-9b6f-ae96a4dd57c1 · outbound

This paper cites Design and control of a novel six-degree-of-freedom hybrid robotic arm,.

Reinforcement Learning for the Full Strawberry Harvesting Process: Obstacle Separation, Detachment, and Placement Design and control of a novel six-degree-of-freedom hybrid robotic arm,

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-02T01:23:39.020873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers

No inbound Pith citation observations are available.