Paper Citation Record · LEDGER

Composite Gaussian Processes Flows for Learning Discontinuous Multimodal Policies

As of 18 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2502.01913.

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

pith.paper-citation-record.v1
2502.01913 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T14:07:07.492117Z

measured 37 of 37 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

37 of 37 outbound references displayed

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External citation measurements

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Outbound references

Observation 1a08f7b9-b79b-4427-84e7-a059ed5c9a35 · outbound

This paper cites IEEE Transactions on Pattern Analysis and Machine Intelligence 37(2), 408–423 (2013).

Composite Gaussian Processes Flows for Learning Discontinuous Multimodal Policies IEEE Transactions on Pattern Analysis and Machine Intelligence 37(2), 408–423 (2013)

Reference 1

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Observation 8986d702-0d1b-459b-9332-162c0439b68f · outbound

This paper cites In: IEEE International Conference on Robotics and Automation (ICRA), pp.

Composite Gaussian Processes Flows for Learning Discontinuous Multimodal Policies In: IEEE International Conference on Robotics and Automation (ICRA), pp

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:07:07.860621Z

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Observation 2f96f16a-af66-4a9f-adc6-614f685b25ef · outbound

This paper cites In: International Conference on Robotics and Automation (ICRA), pp.

Composite Gaussian Processes Flows for Learning Discontinuous Multimodal Policies In: International Conference on Robotics and Automation (ICRA), pp

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:07:07.851184Z

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Observation 51b54af3-18fb-4dcb-9422-5504f7aefb85 · outbound

This paper cites Robotics and Autonomous Systems 112, 72–83 (2019).

Composite Gaussian Processes Flows for Learning Discontinuous Multimodal Policies Robotics and Autonomous Systems 112, 72–83 (2019)

Reference 4

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Observation 4cd359a4-1708-4ae8-8f04-8166b19c414c · outbound

This paper cites In: International Conference on Machine Learning (ICML), pp.

Composite Gaussian Processes Flows for Learning Discontinuous Multimodal Policies In: International Conference on Machine Learning (ICML), pp

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:07:07.832517Z

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Observation b1af3698-fef6-4e72-b014-16151f8f46f0 · outbound

This paper cites Journal of Mathematical Psychology 85, 1–16 (2018).

Composite Gaussian Processes Flows for Learning Discontinuous Multimodal Policies Journal of Mathematical Psychology 85, 1–16 (2018)

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:07:07.823289Z

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Observation f4061929-7983-4c16-8999-e296741bd528 · outbound

This paper cites Pattern Recognition45(4), 1386–1395 (2012).

Composite Gaussian Processes Flows for Learning Discontinuous Multimodal Policies Pattern Recognition45(4), 1386–1395 (2012)

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:07:07.814028Z

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Observation a84872ac-1fb9-4c0a-8435-2e04f09bf128 · outbound

This paper cites In: Neural Information Processing Systems (NeurIPS), vol.

Composite Gaussian Processes Flows for Learning Discontinuous Multimodal Policies In: Neural Information Processing Systems (NeurIPS), vol

Reference 8

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Observation 6bcf149b-8fa1-40bb-829c-a22e814c744a · outbound

This paper cites Journal of Machine Learning Research 22(57), 1–64 (2021).

Composite Gaussian Processes Flows for Learning Discontinuous Multimodal Policies Journal of Machine Learning Research 22(57), 1–64 (2021)

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:07:07.794317Z

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Observation f3781812-781f-4122-8c45-b2c8865fc7b2 · outbound

This paper cites In: Neural Information Processing Systems (NeurIPS), vol.

Composite Gaussian Processes Flows for Learning Discontinuous Multimodal Policies In: Neural Information Processing Systems (NeurIPS), vol

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:07:07.784558Z

Source-reported events for the cited work

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Observation 1ac4b579-a1fd-422c-bfe6-b0950aba0a5e · outbound

This paper cites In: International Conference on Learning Representations (ICLR) (2019) 32.

Composite Gaussian Processes Flows for Learning Discontinuous Multimodal Policies In: International Conference on Learning Representations (ICLR) (2019) 32

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:07:07.775075Z

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Observation 12624d38-1766-45c3-9798-b1edd86592d4 · outbound

This paper cites Foundations and Trends in Robotics 7(1-2), 1–179 (2018).

Composite Gaussian Processes Flows for Learning Discontinuous Multimodal Policies Foundations and Trends in Robotics 7(1-2), 1–179 (2018)

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:07:07.765840Z

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Observation 618e2c94-09f4-4ace-a3ef-579d2ed4aa4d · outbound

This paper cites In: Proceedings of the 4th Robot Learning Workshop at NeurIPS 2021 (2021).

Composite Gaussian Processes Flows for Learning Discontinuous Multimodal Policies In: Proceedings of the 4th Robot Learning Workshop at NeurIPS 2021 (2021)

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:07:07.757132Z

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Observation 462b6fd3-bf20-4e39-87ac-e0b2abee0364 · outbound

This paper cites Conference on Robot Learning (CoRL) (2024).

Composite Gaussian Processes Flows for Learning Discontinuous Multimodal Policies Conference on Robot Learning (CoRL) (2024)

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:07:07.747557Z

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Observation 1d08be5e-bbf9-4c6b-a37d-b08bb737f29f · outbound

This paper cites AStA Advances in Statistical Analysis 107(1), 51–72 (2023).

Composite Gaussian Processes Flows for Learning Discontinuous Multimodal Policies AStA Advances in Statistical Analysis 107(1), 51–72 (2023)

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:07:07.736777Z

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Observation 488d3263-9222-441f-b4ea-4a7e3e0d3123 · outbound

This paper cites Neural Networks 143, 291–302 (2021).

Composite Gaussian Processes Flows for Learning Discontinuous Multimodal Policies Neural Networks 143, 291–302 (2021)

Reference 16

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Observation 9f5a668b-d7fd-4a0e-97d1-cc8e13f05103 · outbound

This paper cites In: Neural Information Processing Systems (NeurIPS), pp.

Composite Gaussian Processes Flows for Learning Discontinuous Multimodal Policies In: Neural Information Processing Systems (NeurIPS), pp

Reference 17

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Observation 4c89d4b0-e897-409c-977f-a442fe1a3dbb · outbound

This paper cites IEEE Signal Processing Magazine 35(1), 53–65 (2018).

Composite Gaussian Processes Flows for Learning Discontinuous Multimodal Policies IEEE Signal Processing Magazine 35(1), 53–65 (2018)

Reference 18

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Observation 6195a14b-bd9e-4b19-ad64-a7543607fc42 · outbound

This paper cites In: Conference on Robot Learning (CoRL), pp.

Composite Gaussian Processes Flows for Learning Discontinuous Multimodal Policies In: Conference on Robot Learning (CoRL), pp

Reference 19

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Observation 9039ca61-406c-4738-8592-7695263066bc · outbound

This paper cites The International Journal of Robotics Research (2024).

Composite Gaussian Processes Flows for Learning Discontinuous Multimodal Policies The International Journal of Robotics Research (2024)

Reference 20

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Observation 2de66210-d05a-4807-86f8-2c8b1e6cdb5e · outbound

This paper cites Adaptive Computation and Machine Learning.

Composite Gaussian Processes Flows for Learning Discontinuous Multimodal Policies Adaptive Computation and Machine Learning

Reference 21

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Observation 6299ffa6-9ca2-4b79-96e2-945e8b16a4e3 · outbound

This paper cites In: 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp.

Composite Gaussian Processes Flows for Learning Discontinuous Multimodal Policies In: 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:07:07.669935Z

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Observation 7023e8f6-abd9-4e6d-a6f5-61ea35203972 · outbound

This paper cites Neural Networks 107, 33 3–11 (2018).

Composite Gaussian Processes Flows for Learning Discontinuous Multimodal Policies Neural Networks 107, 33 3–11 (2018)

Reference 23

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Observation 8d45a903-5eb4-4fbc-a6fe-acbe7107bd47 · outbound

This paper cites American journal of evaluation 33(3), 448–458 (2012).

Composite Gaussian Processes Flows for Learning Discontinuous Multimodal Policies American journal of evaluation 33(3), 448–458 (2012)

Reference 24

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Observation 879805f3-c808-477a-88ff-ca9e6543b1fb · outbound

This paper cites In: International Conference on Learning Representations (ICLR) (2018).

Composite Gaussian Processes Flows for Learning Discontinuous Multimodal Policies In: International Conference on Learning Representations (ICLR) (2018)

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:07:07.641971Z

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This paper cites In: Dasgupta, S., McAllester, D.

Composite Gaussian Processes Flows for Learning Discontinuous Multimodal Policies In: Dasgupta, S., McAllester, D

Reference 26

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Observation c52ebb75-5611-4296-ae2a-c752b99fecc7 · outbound

This paper cites Neural Networks 158, 42–58 (2023).

Composite Gaussian Processes Flows for Learning Discontinuous Multimodal Policies Neural Networks 158, 42–58 (2023)

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:07:07.624469Z

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Observation 625a62f6-514e-45ae-8e91-ec18060661bb · outbound

This paper cites Journal of Machine Learning Research 12(99), 3227–3257 (2011).

Composite Gaussian Processes Flows for Learning Discontinuous Multimodal Policies Journal of Machine Learning Research 12(99), 3227–3257 (2011)

Reference 28

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This paper cites The Visual Computer 36, 39–52 (2020).

Composite Gaussian Processes Flows for Learning Discontinuous Multimodal Policies The Visual Computer 36, 39–52 (2020)

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:07:07.607033Z

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Observation 640a695f-80c5-48d1-90a5-db59b94ef4d5 · outbound

This paper cites IEEE Transactions on Cybernetics 52(7), 5682–5694 (2021).

Composite Gaussian Processes Flows for Learning Discontinuous Multimodal Policies IEEE Transactions on Cybernetics 52(7), 5682–5694 (2021)

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:07:07.597937Z

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Observation 46753774-1bbd-42d2-a836-4be4b4e49a7d · outbound

This paper cites EURASIP Journal on Wireless Communi- cations and Networking 2019, 1–7 (2019).

Composite Gaussian Processes Flows for Learning Discontinuous Multimodal Policies EURASIP Journal on Wireless Communi- cations and Networking 2019, 1–7 (2019)

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:07:07.588337Z

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Observation bc41a998-293b-4ad8-9a6e-633a4c72952d · outbound

This paper cites Information Sciences 509, 150–163 (2020).

Composite Gaussian Processes Flows for Learning Discontinuous Multimodal Policies Information Sciences 509, 150–163 (2020)

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:07:07.577976Z

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This paper cites Journal of Computational and Nonlinear Dynamics 12(6), 061016 (2017).

Composite Gaussian Processes Flows for Learning Discontinuous Multimodal Policies Journal of Computational and Nonlinear Dynamics 12(6), 061016 (2017)

Reference 33

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Composite Gaussian Processes Flows for Learning Discontinuous Multimodal Policies Unresolved cited work

Reference 34

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Composite Gaussian Processes Flows for Learning Discontinuous Multimodal Policies Unresolved cited work

Reference 35

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Observation 83e7a019-4f6c-46dc-9af4-9065ceb156fe · outbound

This paper cites Gerhard Wanner: Solving Ordinary Differential Equations I: Nonstiff Problems, pp.

Composite Gaussian Processes Flows for Learning Discontinuous Multimodal Policies Gerhard Wanner: Solving Ordinary Differential Equations I: Nonstiff Problems, pp

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:07:07.536378Z

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Observation 3ea73da5-ae53-4198-9890-49d40cf7be3e · outbound

This paper cites In: 1st Symposium on Advances in Approximate Bayesian Inference, pp.

Composite Gaussian Processes Flows for Learning Discontinuous Multimodal Policies In: 1st Symposium on Advances in Approximate Bayesian Inference, pp

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:07:07.524727Z

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.