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Paper Citation Record · LEDGER

How Many Training Samples Are Needed for the Inverse Kinematics Solutions by Artificial Neural Networks

As of 11 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2605.23583.

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

pith.paper-citation-record.v1
2605.23583 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-25T04:13:11.828251Z

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Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

23 of 23 outbound references displayed

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External citation measurements

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Outbound references

Observation 84254504-6f4f-48f1-abbe-80d21e466e11 · outbound

This paper cites D., Dhariwal, P.

How Many Training Samples Are Needed for the Inverse Kinematics Solutions by Artificial Neural Networks D., Dhariwal, P

Reference 1

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This paper cites Training Compute-Optimal Large Language Models.

How Many Training Samples Are Needed for the Inverse Kinematics Solutions by Artificial Neural Networks Training Compute-Optimal Large Language Models

Reference 2

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Observation e22dd1f0-507c-484f-8bd2-886507001635 · outbound

This paper cites GPT-4 Technical Report.

How Many Training Samples Are Needed for the Inverse Kinematics Solutions by Artificial Neural Networks GPT-4 Technical Report

Reference 3

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Observation 4b4c19ed-5cde-455a-8af5-d4cb991bc8e0 · outbound

This paper cites Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone.

How Many Training Samples Are Needed for the Inverse Kinematics Solutions by Artificial Neural Networks Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Reference 4

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Observation aa098f0e-8264-41a8-b7dc-775689f05767 · outbound

This paper cites How many samples are needed to train a deep neural network?.

How Many Training Samples Are Needed for the Inverse Kinematics Solutions by Artificial Neural Networks How many samples are needed to train a deep neural network?

Reference 5

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Observation 7cfa819e-0da4-41e7-b796-89aa9f6e4f38 · outbound

This paper cites [Online].

How Many Training Samples Are Needed for the Inverse Kinematics Solutions by Artificial Neural Networks [Online]

Reference 6

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How Many Training Samples Are Needed for the Inverse Kinematics Solutions by Artificial Neural Networks Unresolved cited work

Reference 7

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Observation 553157e9-6ce9-41b6-911c-e7e5e45fc967 · outbound

This paper cites E., Da¸ s, M.

How Many Training Samples Are Needed for the Inverse Kinematics Solutions by Artificial Neural Networks E., Da¸ s, M

Reference 8

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Observation 55cbf310-536c-43fb-9c5e-4eb5bae7072b · outbound

This paper cites D.: A closed loop inverse kinematics solver intended for offline calculation optimized with GA.Robotics, 7(1), 7 (2018).

How Many Training Samples Are Needed for the Inverse Kinematics Solutions by Artificial Neural Networks D.: A closed loop inverse kinematics solver intended for offline calculation optimized with GA.Robotics, 7(1), 7 (2018)

Reference 9

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Observation 5bcb138b-4999-4ebc-a552-10b9896e7aa1 · outbound

This paper cites and Kitjaidure, Y.: Forward kinematic-like neural network for solving the 3D reaching inverse kinematics problems.

How Many Training Samples Are Needed for the Inverse Kinematics Solutions by Artificial Neural Networks and Kitjaidure, Y.: Forward kinematic-like neural network for solving the 3D reaching inverse kinematics problems

Reference 10

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This paper cites and Habib, M.

How Many Training Samples Are Needed for the Inverse Kinematics Solutions by Artificial Neural Networks and Habib, M

Reference 11

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Observation cfee1a33-8e3b-4a9d-a2bc-aec97b5e8eb4 · outbound

This paper cites V.: Neural network based inverse kinematics solution for trajectory tracking of a robotic arm.Procedia Technology, 12, 20–27 (2014).

How Many Training Samples Are Needed for the Inverse Kinematics Solutions by Artificial Neural Networks V.: Neural network based inverse kinematics solution for trajectory tracking of a robotic arm.Procedia Technology, 12, 20–27 (2014)

Reference 12

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How Many Training Samples Are Needed for the Inverse Kinematics Solutions by Artificial Neural Networks Unresolved cited work

Reference 13

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Observation e0fbf15f-2d18-40ac-b154-0ffc70567ff7 · outbound

This paper cites T., Ismail, N., Hamouda, A.

How Many Training Samples Are Needed for the Inverse Kinematics Solutions by Artificial Neural Networks T., Ismail, N., Hamouda, A

Reference 14

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Observation 1df1fda7-069b-49b5-9bf8-45216d343f18 · outbound

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How Many Training Samples Are Needed for the Inverse Kinematics Solutions by Artificial Neural Networks Unresolved cited work

Reference 15

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Observation 461b697d-a5b1-4067-9679-ad9cf17afe59 · outbound

This paper cites Bachelor’s thesis, Universitat Polit` ecnica de Catalunya (2024).

How Many Training Samples Are Needed for the Inverse Kinematics Solutions by Artificial Neural Networks Bachelor’s thesis, Universitat Polit` ecnica de Catalunya (2024)

Reference 16

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This paper cites W.: Bounds on the number of training samples needed for inverse kinematics solutions by artificial neural networks.

How Many Training Samples Are Needed for the Inverse Kinematics Solutions by Artificial Neural Networks W.: Bounds on the number of training samples needed for inverse kinematics solutions by artificial neural networks

Reference 17

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Observation 18be2dd3-cba3-4f5f-869e-9be9f59a4e9d · outbound

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How Many Training Samples Are Needed for the Inverse Kinematics Solutions by Artificial Neural Networks and Chorus, C

Reference 18

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Observation 1a69d5b1-9b50-4d59-8245-f303b0d4cf4b · outbound

This paper cites G., Mohan, C.

How Many Training Samples Are Needed for the Inverse Kinematics Solutions by Artificial Neural Networks G., Mohan, C

Reference 19

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Observation 362d5646-202b-41bb-ac7e-a45d953d1b26 · outbound

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How Many Training Samples Are Needed for the Inverse Kinematics Solutions by Artificial Neural Networks Unresolved cited work

Reference 20

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This paper cites R.: Universal approximation bounds for superpositions of a sigmoidal function.

How Many Training Samples Are Needed for the Inverse Kinematics Solutions by Artificial Neural Networks R.: Universal approximation bounds for superpositions of a sigmoidal function

Reference 21

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How Many Training Samples Are Needed for the Inverse Kinematics Solutions by Artificial Neural Networks Unresolved cited work

Reference 22

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This paper cites Available:http:// neuralnetworksanddeeplearning.com.

How Many Training Samples Are Needed for the Inverse Kinematics Solutions by Artificial Neural Networks Available:http:// neuralnetworksanddeeplearning.com

Reference 23

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