Paper Citation Record · LEDGER

RoboBallet: Planning for Multi-Robot Reaching with Graph Neural Networks and Reinforcement Learning

As of 9 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2509.05397.

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

pith.paper-citation-record.v1
2509.05397 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T05:38:14.215611Z

measured 34 of 34 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

34 of 34 outbound references displayed

verified exact2
verified fuzzy17
unresolved15
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 010962a7-2b6e-43be-b3f8-7cf7d0b746b1 · outbound

This paper cites Pellegrinelli, N.

RoboBallet: Planning for Multi-Robot Reaching with Graph Neural Networks and Reinforcement Learning Pellegrinelli, N

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:38:19.119244Z

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.

Observation d09ee73e-d2ec-44cd-82cb-19ecbda978ae · outbound

This paper cites Yamada, S.

RoboBallet: Planning for Multi-Robot Reaching with Graph Neural Networks and Reinforcement Learning Yamada, S

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:38:18.967737Z

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.

Observation 172ddb70-9428-4f84-a29a-9543a7f44b48 · outbound

This paper cites an unresolved cited work.

RoboBallet: Planning for Multi-Robot Reaching with Graph Neural Networks and Reinforcement Learning Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-05T05:38:18.811206Z

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.

Observation d25bcefa-14fe-442d-a59c-78880e41a1d3 · outbound

This paper cites an unresolved cited work.

RoboBallet: Planning for Multi-Robot Reaching with Graph Neural Networks and Reinforcement Learning Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-05T05:38:18.609868Z

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.

Observation d395ea2a-2796-416a-bf9f-0dde6c02295a · outbound

This paper cites an unresolved cited work.

RoboBallet: Planning for Multi-Robot Reaching with Graph Neural Networks and Reinforcement Learning Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-05T05:38:18.419141Z

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.

Observation 4ff1edcc-0476-4379-b9f7-74e5b432bbae · outbound

This paper cites LaValle, Rapidly-exploring random trees: A new tool for path planning,Research Report 9811(1998).

RoboBallet: Planning for Multi-Robot Reaching with Graph Neural Networks and Reinforcement Learning LaValle, Rapidly-exploring random trees: A new tool for path planning,Research Report 9811(1998)

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:38:18.209309Z

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.

Observation f9497f85-e751-44e6-8aa2-f425c28bd890 · outbound

This paper cites an unresolved cited work.

RoboBallet: Planning for Multi-Robot Reaching with Graph Neural Networks and Reinforcement Learning Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-05T05:38:18.018230Z

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.

Observation 1fa39de0-4114-476b-841d-5a9f56b3215d · outbound

This paper cites Karaman, E.

RoboBallet: Planning for Multi-Robot Reaching with Graph Neural Networks and Reinforcement Learning Karaman, E

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:38:17.820505Z

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.

Observation 96ddba45-6ed6-44b5-850c-218d5ee15161 · outbound

This paper cites Canny,The complexity of robot motion planning(MIT press, 1988).

RoboBallet: Planning for Multi-Robot Reaching with Graph Neural Networks and Reinforcement Learning Canny,The complexity of robot motion planning(MIT press, 1988)

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:38:17.647754Z

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.

Observation 4b22a466-2513-4103-ae9f-7cb31fba6f8b · outbound

This paper cites Vega-Brown, N.

RoboBallet: Planning for Multi-Robot Reaching with Graph Neural Networks and Reinforcement Learning Vega-Brown, N

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:38:17.467683Z

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.

Observation d3aca4e3-0da9-4ce5-b3a2-932e304c6b1d · outbound

This paper cites an unresolved cited work.

RoboBallet: Planning for Multi-Robot Reaching with Graph Neural Networks and Reinforcement Learning Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-05T05:38:17.313056Z

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.

Observation d7738a3c-623b-4af6-9a03-71224d2df48d · outbound

This paper cites Learning a Decentralized Multi-arm Motion Planner.

RoboBallet: Planning for Multi-Robot Reaching with Graph Neural Networks and Reinforcement Learning Learning a Decentralized Multi-arm Motion Planner

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-08-05T05:38:14.504559Z

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.

Observation 41d498b7-ef2a-4fc2-89be-224c715c4363 · outbound

This paper cites an unresolved cited work.

RoboBallet: Planning for Multi-Robot Reaching with Graph Neural Networks and Reinforcement Learning Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-05T05:38:17.128143Z

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.

Observation cc40ff98-b3bc-4123-9fe8-3c0be9345185 · outbound

This paper cites LeCun,et al., Handwritten digit recognition with a back-propagation network, Advances in neural information processing systems2(1989).

RoboBallet: Planning for Multi-Robot Reaching with Graph Neural Networks and Reinforcement Learning LeCun,et al., Handwritten digit recognition with a back-propagation network, Advances in neural information processing systems2(1989)

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:38:17.001039Z

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.

Observation dd59373c-1552-4fd7-8fb2-21a81b4c8ca0 · outbound

This paper cites an unresolved cited work.

RoboBallet: Planning for Multi-Robot Reaching with Graph Neural Networks and Reinforcement Learning Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-08-05T05:38:16.864669Z

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.

Observation 78386fd1-100d-40b5-bf47-1835f7894e09 · outbound

This paper cites Golovin,et al., eds.,Google Vizier: A Service for Black-Box Optimization(2017).

RoboBallet: Planning for Multi-Robot Reaching with Graph Neural Networks and Reinforcement Learning Golovin,et al., eds.,Google Vizier: A Service for Black-Box Optimization(2017)

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:38:16.731083Z

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.

Observation 90453860-b363-4a70-a0ce-bae2a4fea107 · outbound

This paper cites The Vizier Gaussian Process Bandit Algorithm.

RoboBallet: Planning for Multi-Robot Reaching with Graph Neural Networks and Reinforcement Learning The Vizier Gaussian Process Bandit Algorithm

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-05T05:38:12.347325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab4f2805-842b-4951-9322-f49a25c6392c · outbound

This paper cites Velickovic,et al., Graph attention networks,stat1050, 10 (2017).

RoboBallet: Planning for Multi-Robot Reaching with Graph Neural Networks and Reinforcement Learning Velickovic,et al., Graph attention networks,stat1050, 10 (2017)

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:38:16.589434Z

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.

Observation 4004b8d5-a265-4bd5-8b26-34e3415ad90e · outbound

This paper cites Relational inductive biases, deep learning, and graph networks.

RoboBallet: Planning for Multi-Robot Reaching with Graph Neural Networks and Reinforcement Learning Relational inductive biases, deep learning, and graph networks

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-05T05:38:12.551762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e009a2c-8a08-47ab-bbc5-36a785c44ab0 · outbound

This paper cites Fujimoto, H.

RoboBallet: Planning for Multi-Robot Reaching with Graph Neural Networks and Reinforcement Learning Fujimoto, H

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:38:16.468741Z

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.

Observation c5c77a9c-0b15-4f62-a12b-ab8f43741407 · outbound

This paper cites an unresolved cited work.

RoboBallet: Planning for Multi-Robot Reaching with Graph Neural Networks and Reinforcement Learning Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-08-05T05:38:16.337881Z

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.

Observation f19e0bf5-915a-4adb-8c01-93f9ca7e5f23 · outbound

This paper cites Chang, B.

RoboBallet: Planning for Multi-Robot Reaching with Graph Neural Networks and Reinforcement Learning Chang, B

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:38:16.195973Z

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.

Observation 99b0d00f-7eff-43c2-a835-0a97739c5cbe · outbound

This paper cites an unresolved cited work.

RoboBallet: Planning for Multi-Robot Reaching with Graph Neural Networks and Reinforcement Learning Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-05T05:38:16.033089Z

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.

Observation 069d487e-4d77-4ad8-be02-5143fd2abc14 · outbound

This paper cites an unresolved cited work.

RoboBallet: Planning for Multi-Robot Reaching with Graph Neural Networks and Reinforcement Learning Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-08-05T05:38:15.898764Z

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.

Observation 4e3b9593-ba03-467a-bd70-327886f434ed · outbound

This paper cites Andrychowicz,et al., Hindsight experience replay,Advances in neural informa- tion processing systems30(2017).

RoboBallet: Planning for Multi-Robot Reaching with Graph Neural Networks and Reinforcement Learning Andrychowicz,et al., Hindsight experience replay,Advances in neural informa- tion processing systems30(2017)

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:38:15.777884Z

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.

Observation c3393012-03e9-42d6-bb58-5d9dbb89a19b · outbound

This paper cites Silver,et al., Deterministic policy gradient algorithms,International conference on machine learning(Pmlr, 2014), pp.

RoboBallet: Planning for Multi-Robot Reaching with Graph Neural Networks and Reinforcement Learning Silver,et al., Deterministic policy gradient algorithms,International conference on machine learning(Pmlr, 2014), pp

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:38:15.624518Z

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.

Observation 15b4be6b-e99a-4622-8b87-2d7e90d26980 · outbound

This paper cites an unresolved cited work.

RoboBallet: Planning for Multi-Robot Reaching with Graph Neural Networks and Reinforcement Learning Unresolved cited work

Reference 27

Resolution: unresolved; raw_fallback, observed 2026-08-05T05:38:15.463263Z

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.

Observation 5f7c5f6b-f79f-40a0-8b20-46d495b02649 · outbound

This paper cites Layer Normalization.

RoboBallet: Planning for Multi-Robot Reaching with Graph Neural Networks and Reinforcement Learning Layer Normalization

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-05T05:38:13.606626Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1921215-7333-49df-a8c0-0a0c3d1d1b78 · outbound

This paper cites Gaussian Error Linear Units (GELUs).

RoboBallet: Planning for Multi-Robot Reaching with Graph Neural Networks and Reinforcement Learning Gaussian Error Linear Units (GELUs)

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-05T05:38:13.672215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa4bae71-c4f7-4b68-8729-de04808bfa38 · outbound

This paper cites Bradbury,et al., JAX: composable transformations of Python+NumPy programs (2018).

RoboBallet: Planning for Multi-Robot Reaching with Graph Neural Networks and Reinforcement Learning Bradbury,et al., JAX: composable transformations of Python+NumPy programs (2018)

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:38:15.310134Z

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.

Observation 883a546a-b23f-4de6-8c4f-fb5b3e2ffdfa · outbound

This paper cites Godwin*,et al., Jraph: A library for graph neural networks in jax.

RoboBallet: Planning for Multi-Robot Reaching with Graph Neural Networks and Reinforcement Learning Godwin*,et al., Jraph: A library for graph neural networks in jax

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:38:15.165576Z

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.

Observation 17dc4168-e109-483f-a212-97ab69148965 · outbound

This paper cites Heek,et al., Flax: A neural network library and ecosystem for JAX (2023).

RoboBallet: Planning for Multi-Robot Reaching with Graph Neural Networks and Reinforcement Learning Heek,et al., Flax: A neural network library and ecosystem for JAX (2023)

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:38:14.990990Z

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.

Observation e05e17ac-fee6-4e44-95fa-12b0b9d1c301 · outbound

This paper cites Cassirer,et al., Reverb: A framework for experience replay (2021).

RoboBallet: Planning for Multi-Robot Reaching with Graph Neural Networks and Reinforcement Learning Cassirer,et al., Reverb: A framework for experience replay (2021)

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:38:14.844984Z

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.

Observation 05f48b6a-c653-4b65-9626-46ee86766ee2 · outbound

This paper cites Todorov, T.

RoboBallet: Planning for Multi-Robot Reaching with Graph Neural Networks and Reinforcement Learning Todorov, T

Reference 34

Resolution: verified exact; doi, observed 2026-08-05T05:38:14.687444Z

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.

Pith citing papers

No inbound Pith citation observations are available.