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Paper Citation Record · LEDGER

CableRobotGraphSim: A Graph Neural Network for Modeling Partially Observable Cable-Driven Robot Dynamics

As of 9 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2602.21331.

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

pith.paper-citation-record.v1
2602.21331 v2

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T21:09:32.837272Z

measured 15 of 15 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

15 of 15 outbound references displayed

  • verified exact2
  • verified fuzzy0
  • unresolved12
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8c9df86f-089a-4ac3-9bbc-ff75024f76e0 · outbound

This paper cites doi: 10.1109/lra.2024.3446287.

CableRobotGraphSim: A Graph Neural Network for Modeling Partially Observable Cable-Driven Robot Dynamics doi: 10.1109/lra.2024.3446287

Reference 4

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unresolved
no resolver link, observed 2026-08-02T21:09:31.891991Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T21:09:31.891991Z digest=sha256:e622772613769c689937e7845e9010e312940623592c0d888dc31f56a0b0169e

Observation 53349c06-8d18-40a0-9b86-0ec37d997b72 · outbound

This paper cites $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization.

CableRobotGraphSim: A Graph Neural Network for Modeling Partially Observable Cable-Driven Robot Dynamics $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization

Reference 7

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unresolved
no resolver link, observed 2026-08-02T21:09:32.221168Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T21:09:32.221168Z digest=sha256:64b5c7f59c0119046717785c0c9d40fa1c0f8ab3492e8fa43d429c790b3e276e

Observation f0cefec3-4792-4772-bb4a-f8fa7aa55f4b · outbound

This paper cites Sim-and-Real Co-Training: A Simple Recipe for Vision-Based Robotic Manipulation.

CableRobotGraphSim: A Graph Neural Network for Modeling Partially Observable Cable-Driven Robot Dynamics Sim-and-Real Co-Training: A Simple Recipe for Vision-Based Robotic Manipulation

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-02T21:09:32.371957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T21:09:32.371957Z digest=sha256:ca216cc4d006a19e6b492bc39eb7e5b344e6d7eb08a43e3cd49e16e8eb6b728f

Observation ae18eaf7-476b-4181-9a9d-819e5ede8ea2 · outbound

This paper cites URLhttps://proceedings.neurips.cc/paper_files/paper/ 2024/file/e3abc125ecacb71786cefb9f67b08c5d-Paper-Conference.pdf.

CableRobotGraphSim: A Graph Neural Network for Modeling Partially Observable Cable-Driven Robot Dynamics URLhttps://proceedings.neurips.cc/paper_files/paper/ 2024/file/e3abc125ecacb71786cefb9f67b08c5d-Paper-Conference.pdf

Reference 10

Resolution
malformed identifier
no resolver link, observed 2026-08-02T21:09:32.456158Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T21:09:32.456158Z digest=sha256:8c2b9215d241d695fd1f875362402ddaa43fca1dc20417a22f6f217343082c42

Observation aa60dd53-d062-4109-85e4-59cc4ed50b93 · outbound

This paper cites Neural Robot Dynamics.

CableRobotGraphSim: A Graph Neural Network for Modeling Partially Observable Cable-Driven Robot Dynamics Neural Robot Dynamics

Reference 14

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unresolved
no resolver link, observed 2026-08-02T21:09:32.765708Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T21:09:32.765708Z digest=sha256:d690ab2c653629aa686ebe39c4bacedfbcab9ee927705be5f808a747ac7f2113

Observation aac97457-3eec-4041-aa91-560b56c7e110 · outbound

This paper cites AdaptiGraph: Material-Adaptive Graph-Based Neural Dynamics for Robotic Manipulation.

CableRobotGraphSim: A Graph Neural Network for Modeling Partially Observable Cable-Driven Robot Dynamics AdaptiGraph: Material-Adaptive Graph-Based Neural Dynamics for Robotic Manipulation

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-02T21:09:32.837272Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T21:09:32.837272Z digest=sha256:93b8d2ace0a77e11d7f9d268b6cd089e416f00ebdf0ec1ec0909c3c5729620f4

Observation 146a57dc-87e6-42fa-a80c-77cfd30eadb3 · outbound

This paper cites Bibit Bianchini, Mathew Halm, and Michael Posa.

CableRobotGraphSim: A Graph Neural Network for Modeling Partially Observable Cable-Driven Robot Dynamics Bibit Bianchini, Mathew Halm, and Michael Posa

Reference 2007

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unresolved
no resolver link, observed 2026-08-02T21:09:31.682677Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T21:09:31.682677Z digest=sha256:fe6fad5a9b257cd1dfbdb731c7b9dbf44f71da1b911201201f617e397a0a6bab

Observation 42b76e3f-787a-4471-8cd6-d367905f8999 · outbound

This paper cites Kun Wang, Mridul Aanjaneya, and Kostas Bekris.

CableRobotGraphSim: A Graph Neural Network for Modeling Partially Observable Cable-Driven Robot Dynamics Kun Wang, Mridul Aanjaneya, and Kostas Bekris

Reference 2008

Resolution
unresolved
no resolver link, observed 2026-08-02T21:09:32.619641Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T21:09:32.619641Z digest=sha256:05e5a4318126d51765fd053d3c36ade3ce22bfbcfde7c7caf29a066b9647cf60

Observation b22deabf-95b4-4492-898b-776716080cfb · outbound

This paper cites an unresolved cited work.

CableRobotGraphSim: A Graph Neural Network for Modeling Partially Observable Cable-Driven Robot Dynamics Unresolved cited work

Reference 2016

Resolution
verified exact
doi, observed 2026-08-02T21:13:28.911935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-02T21:09:32.692871Z digest=sha256:d553f7300f116d231a160b3df2aac5e92db0b1ddcc892a4bc2192928f65064bf

Observation a6b9b71e-1f84-4468-b859-72ae7859397f · outbound

This paper cites Sukhatme.

CableRobotGraphSim: A Graph Neural Network for Modeling Partially Observable Cable-Driven Robot Dynamics Sukhatme

Reference 2019

Resolution
unresolved
no resolver link, observed 2026-08-02T21:09:32.003852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T21:09:32.003852Z digest=sha256:4640833e58bb1cf62109cd07494ad216c8492129c071c8f3e0d3fc1a5157001e

Observation 609bdcc6-d669-40b5-8456-90e8a34ea69a · outbound

This paper cites Impact-resistant, autonomous robots inspired by tensegrity architecture.

CableRobotGraphSim: A Graph Neural Network for Modeling Partially Observable Cable-Driven Robot Dynamics Impact-resistant, autonomous robots inspired by tensegrity architecture

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-02T21:09:32.113948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T21:09:32.113948Z digest=sha256:2090727681ac3424886aad2635a21354d352e24859a3673af783336c5cbc9ff1

Observation f5c0d76c-8742-4306-be29-a2becb576f83 · outbound

This paper cites an unresolved cited work.

CableRobotGraphSim: A Graph Neural Network for Modeling Partially Observable Cable-Driven Robot Dynamics Unresolved cited work

Reference 2021

Resolution
verified exact
doi, observed 2026-08-02T21:13:28.942245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-02T21:09:32.545849Z digest=sha256:adab02742981b33d3d7f5644ea793525636aeced2149ba55ac08f05fbb63585a

Observation 91031ef4-dc8d-43f4-80e6-788442a13db7 · outbound

This paper cites URLhttps://doi.org/10.1080/01691864.

CableRobotGraphSim: A Graph Neural Network for Modeling Partially Observable Cable-Driven Robot Dynamics URLhttps://doi.org/10.1080/01691864

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-02T21:09:32.295301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T21:09:32.295301Z digest=sha256:7eb3903c004c03552c4d0719e2b8503c632e98153e88dc1756ca6fc0455e199b

Observation 69153ec1-4e5b-44f8-bd6f-be39412ecbe9 · outbound

This paper cites Learning Differentiable Tensegrity Dynamics using Graph Neural Networks.

CableRobotGraphSim: A Graph Neural Network for Modeling Partially Observable Cable-Driven Robot Dynamics Learning Differentiable Tensegrity Dynamics using Graph Neural Networks

Reference 2024

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unresolved
no resolver link, observed 2026-08-02T21:09:31.783184Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T21:09:31.783184Z digest=sha256:833f07c969a128a11eb6430981063f1200cde48ca78dcdd7ba3deb76834b4e82

Observation aac54e38-d990-4564-b406-04d744b0e349 · outbound

This paper cites Kostas E.

CableRobotGraphSim: A Graph Neural Network for Modeling Partially Observable Cable-Driven Robot Dynamics Kostas E

Reference 2025

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unresolved
no resolver link, observed 2026-08-02T21:09:31.609221Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T21:09:31.609221Z digest=sha256:c9281a5fa181f31c157d9a4368b4c632801c43a7e9867704a0b2386a26c68876

Pith citing papers

No inbound Pith citation observations are available.