Paper Citation Record · LEDGER

Learning more with the same effort: how randomization improves the robustness of a robotic deep reinforcement learning agent

As of 15 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 0 inbound Pith citation observations for arXiv:2501.14443.

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

pith.paper-citation-record.v1
2501.14443 v1

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T15:10:47.135263Z

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

47 of 47 outbound references displayed

verified exact7
verified fuzzy14
unresolved20
parse uncertain0
malformed identifier3
metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f3e22e42-3400-4ce4-8791-5fea257c041b · outbound

This paper cites MIT Press, Cambridge (Massachusetts), London (England) (2018).

Learning more with the same effort: how randomization improves the robustness of a robotic deep reinforcement learning agent MIT Press, Cambridge (Massachusetts), London (England) (2018)

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:10:48.482311Z

Source-reported events for the cited work

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Observation 7d0f3c20-c75b-42f6-b817-db3335edfdb5 · outbound

This paper cites Computing Research Repository (CoRR) (2017).

Learning more with the same effort: how randomization improves the robustness of a robotic deep reinforcement learning agent Computing Research Repository (CoRR) (2017)

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:10:48.467426Z

Source-reported events for the cited work

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Observation e3d41c3f-a2ec-4c48-a3d0-297526514ea8 · outbound

This paper cites Benchmarking Reinforcement Learning Algorithms on Real-World Robots.

Learning more with the same effort: how randomization improves the robustness of a robotic deep reinforcement learning agent Benchmarking Reinforcement Learning Algorithms on Real-World Robots

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-08-10T15:10:48.251762Z

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Observation 62f40cfe-4bf7-4d03-91b9-f1b11b0a4894 · outbound

This paper cites Foundations and Trends in Machine Learning 11(3-4), 219–354 (2018).

Learning more with the same effort: how randomization improves the robustness of a robotic deep reinforcement learning agent Foundations and Trends in Machine Learning 11(3-4), 219–354 (2018)

Reference 4

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Observation 6229f95e-35c9-43ce-9a97-a33a73317bf8 · outbound

This paper cites Sim-to-Real Robot Learning from Pixels with Progressive Nets.

Learning more with the same effort: how randomization improves the robustness of a robotic deep reinforcement learning agent Sim-to-Real Robot Learning from Pixels with Progressive Nets

Reference 5

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Observation 938e9b16-0038-4509-923f-4ebf2f9b989e · outbound

This paper cites Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World.

Learning more with the same effort: how randomization improves the robustness of a robotic deep reinforcement learning agent Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World

Reference 6

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Source-reported events for the cited work

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Observation 6aa90030-7e49-4659-853c-149688991c73 · outbound

This paper cites Journal of Mathematics and Mechanics, 679–684 (1957).

Learning more with the same effort: how randomization improves the robustness of a robotic deep reinforcement learning agent Journal of Mathematics and Mechanics, 679–684 (1957)

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:10:48.438448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2583b458-00bf-4a85-b57b-7323241ed035 · outbound

This paper cites Management Science 28(1), 1–16 (1982).

Learning more with the same effort: how randomization improves the robustness of a robotic deep reinforcement learning agent Management Science 28(1), 1–16 (1982)

Reference 8

Resolution: verified exact; doi, observed 2026-08-10T15:10:47.278017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c07ea93f-dc5b-460d-92a5-ce3cafaad4d2 · outbound

This paper cites https://www.

Learning more with the same effort: how randomization improves the robustness of a robotic deep reinforcement learning agent https://www

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:10:48.423923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3b2b3589-f065-4c4c-8b12-0a50d33a1f26 · outbound

This paper cites IEEE Access 8, 176598–176623 (2020).

Learning more with the same effort: how randomization improves the robustness of a robotic deep reinforcement learning agent IEEE Access 8, 176598–176623 (2020)

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T15:10:46.979009Z

Source-reported events for the cited work

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Observation af0f9101-699b-4926-a213-196fa5abce96 · outbound

This paper cites In: Proceedings of The 33rd International Conference on Machine Learning (PMLR), vol.

Learning more with the same effort: how randomization improves the robustness of a robotic deep reinforcement learning agent In: Proceedings of The 33rd International Conference on Machine Learning (PMLR), vol

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:10:48.409555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d41d4b1a-defa-419f-b886-b5bd5123c857 · outbound

This paper cites Journal of Artificial Intelligence Research 69, 1421–1471 (2020).

Learning more with the same effort: how randomization improves the robustness of a robotic deep reinforcement learning agent Journal of Artificial Intelligence Research 69, 1421–1471 (2020)

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:10:48.395650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4ef92c90-4e23-48f8-b518-0fe5e414e729 · outbound

This paper cites IEEE Signal Processing Magazine 34(6), 26–38 (2017).

Learning more with the same effort: how randomization improves the robustness of a robotic deep reinforcement learning agent IEEE Signal Processing Magazine 34(6), 26–38 (2017)

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T15:10:46.990873Z

Source-reported events for the cited work

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Observation 8109fe95-70d8-49d5-867b-918108a10414 · outbound

This paper cites MIT Press, - (2016).

Learning more with the same effort: how randomization improves the robustness of a robotic deep reinforcement learning agent MIT Press, - (2016)

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:10:48.381130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 766bab6f-5dce-4b2b-8144-4f00c75d283e · outbound

This paper cites https://doi.org/10.1038/nature14539.

Learning more with the same effort: how randomization improves the robustness of a robotic deep reinforcement learning agent https://doi.org/10.1038/nature14539

Reference 15

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Source-reported events for the cited work

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Observation aec4ae8e-a936-4da6-a255-5eef1f16a74a · outbound

This paper cites International Journal of Robotics Research 32(11), 1238–1274 (2013).

Learning more with the same effort: how randomization improves the robustness of a robotic deep reinforcement learning agent International Journal of Robotics Research 32(11), 1238–1274 (2013)

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-10T15:10:47.003139Z

Source-reported events for the cited work

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Observation b859a5e0-8144-4d8b-ab9f-1e7be4c87a8a · outbound

This paper cites Computing Research Repository (CoRR) (2019).

Learning more with the same effort: how randomization improves the robustness of a robotic deep reinforcement learning agent Computing Research Repository (CoRR) (2019)

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:10:48.367012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8af43623-6035-4436-910b-7e4499f086a1 · outbound

This paper cites In: 2017 IEEE International Conference on Robotics and Automation, pp.

Learning more with the same effort: how randomization improves the robustness of a robotic deep reinforcement learning agent In: 2017 IEEE International Conference on Robotics and Automation, pp

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-10T15:10:47.011670Z

Source-reported events for the cited work

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Observation e6391580-edae-4249-b2ef-ff9226485f50 · outbound

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

Learning more with the same effort: how randomization improves the robustness of a robotic deep reinforcement learning agent In: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp

Reference 19

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 55c0fab4-7883-4405-9bee-5242b272b9c6 · outbound

This paper cites IEEE Sensors Journal 21(2), 2230–2240 (2021).

Learning more with the same effort: how randomization improves the robustness of a robotic deep reinforcement learning agent IEEE Sensors Journal 21(2), 2230–2240 (2021)

Reference 20

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Source-reported events for the cited work

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Observation 4d014e24-becd-4cdd-9874-87656694ba57 · outbound

This paper cites IEEE Robotics and Automation Magazine 13(2), 99–110 (2006).

Learning more with the same effort: how randomization improves the robustness of a robotic deep reinforcement learning agent IEEE Robotics and Automation Magazine 13(2), 99–110 (2006)

Reference 21

Resolution: verified exact; doi, observed 2026-08-10T15:10:47.234566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ab6d441d-4dea-46eb-99cd-5c36dd822911 · outbound

This paper cites On the strong concavity of the dual function of an optimization problem.

Learning more with the same effort: how randomization improves the robustness of a robotic deep reinforcement learning agent On the strong concavity of the dual function of an optimization problem

Reference 22

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Source-reported events for the cited work

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Observation 13de5f83-f903-416c-a3de-69f4e32858d7 · outbound

This paper cites Intelligent Service Robotics13(2), 263–272 (2020).

Learning more with the same effort: how randomization improves the robustness of a robotic deep reinforcement learning agent Intelligent Service Robotics13(2), 263–272 (2020)

Reference 23

Resolution: verified exact; doi, observed 2026-08-10T15:10:47.218829Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f5599704-c789-4753-bb1c-2bf7532e5a05 · outbound

This paper cites Computing Research Repository (CoRR) (2016).

Learning more with the same effort: how randomization improves the robustness of a robotic deep reinforcement learning agent Computing Research Repository (CoRR) (2016)

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:10:48.352960Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation fe86bb6e-abb2-4370-b126-184c6832b78e · outbound

This paper cites 2016-June, pp.

Learning more with the same effort: how randomization improves the robustness of a robotic deep reinforcement learning agent 2016-June, pp

Reference 25

Resolution: metadata mismatch; raw_fallback, observed 2026-08-10T15:10:47.862291Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3d8cc6a7-632d-42bc-b7d3-2ea0498fb867 · outbound

This paper cites Robotics: Science and Systems (2017).

Learning more with the same effort: how randomization improves the robustness of a robotic deep reinforcement learning agent Robotics: Science and Systems (2017)

Reference 26

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Observation 1008872b-81fe-4114-9445-3261441ca1b4 · outbound

This paper cites Dex-Net 3.0: Computing Robust Robot Vacuum Suction Grasp Targets in Point Clouds using a New Analytic Model and Deep Learning.

Learning more with the same effort: how randomization improves the robustness of a robotic deep reinforcement learning agent Dex-Net 3.0: Computing Robust Robot Vacuum Suction Grasp Targets in Point Clouds using a New Analytic Model and Deep Learning

Reference 27

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Observation 01034dd7-ef21-40c3-82d8-f1c367bd3f1a · outbound

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Learning more with the same effort: how randomization improves the robustness of a robotic deep reinforcement learning agent Unresolved cited work

Reference 28

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ee0a34d9-d07b-4e62-82c3-ceca4ada272b · outbound

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Learning more with the same effort: how randomization improves the robustness of a robotic deep reinforcement learning agent Science Robotics 4 (2019)

Reference 29

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Observation 79785c2f-bca9-4471-983e-b63a8b144bf8 · outbound

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Learning more with the same effort: how randomization improves the robustness of a robotic deep reinforcement learning agent QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-10T15:10:47.061284Z

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Observation bdc0352f-b121-4ad3-9722-4c8b6df64c25 · outbound

This paper cites Applied Intelligence 50 (2020).

Learning more with the same effort: how randomization improves the robustness of a robotic deep reinforcement learning agent Applied Intelligence 50 (2020)

Reference 31

Resolution: verified exact; doi, observed 2026-08-10T15:10:47.185328Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 069143fe-6a1b-4b12-8781-cbb0e93c8385 · outbound

This paper cites Generative Adversarial Networks.

Learning more with the same effort: how randomization improves the robustness of a robotic deep reinforcement learning agent Generative Adversarial Networks

Reference 32

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Source-reported events for the cited work

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Observation e5b09e9e-b32b-49be-bc69-6794f42ed8a7 · outbound

This paper cites Computing Research Repository (CoRR) (2016).

Learning more with the same effort: how randomization improves the robustness of a robotic deep reinforcement learning agent Computing Research Repository (CoRR) (2016)

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:10:48.324632Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c205bd6e-be9d-4ff7-a1bc-6a6cd5f40e16 · outbound

This paper cites 12619–12629 (2019).

Learning more with the same effort: how randomization improves the robustness of a robotic deep reinforcement learning agent 12619–12629 (2019)

Reference 34

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Source-reported events for the cited work

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Observation 1cd832f5-876e-44ea-8c3a-631448a7e717 · outbound

This paper cites Learning from Simulated and Unsupervised Images through Adversarial Training.

Learning more with the same effort: how randomization improves the robustness of a robotic deep reinforcement learning agent Learning from Simulated and Unsupervised Images through Adversarial Training

Reference 35

Resolution: verified exact; local_arxiv, observed 2026-08-10T15:10:47.540929Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3c9f28a1-6ea9-42e9-9ce4-4341b0965e6a · outbound

This paper cites Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks.

Learning more with the same effort: how randomization improves the robustness of a robotic deep reinforcement learning agent Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

Reference 36

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Observation 256e562b-901b-4290-baa1-bc9fc5d8bfd0 · outbound

This paper cites Computing Research Repository (CoRR) (2020).

Learning more with the same effort: how randomization improves the robustness of a robotic deep reinforcement learning agent Computing Research Repository (CoRR) (2020)

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:10:48.309046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d3619949-e002-4f6d-8282-c7b7e676e043 · outbound

This paper cites Reinforcement and Imitation Learning for Diverse Visuomotor Skills.

Learning more with the same effort: how randomization improves the robustness of a robotic deep reinforcement learning agent Reinforcement and Imitation Learning for Diverse Visuomotor Skills

Reference 38

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Observation 9c74adbb-663e-4d13-a1ba-d0ffde88499b · outbound

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Learning more with the same effort: how randomization improves the robustness of a robotic deep reinforcement learning agent Generative Adversarial Imitation Learning

Reference 39

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This paper cites Computing Research Repository (CoRR) (2016).

Learning more with the same effort: how randomization improves the robustness of a robotic deep reinforcement learning agent Computing Research Repository (CoRR) (2016)

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:10:48.294276Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6e0749a3-7264-4b6a-ae5d-4f6e9aa45023 · outbound

This paper cites 5026–5033 (2012).

Learning more with the same effort: how randomization improves the robustness of a robotic deep reinforcement learning agent 5026–5033 (2012)

Reference 41

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Source-reported events for the cited work

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Observation 97948fa7-64f5-42aa-80db-12fdba7aec4e · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

Learning more with the same effort: how randomization improves the robustness of a robotic deep reinforcement learning agent Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-10T15:10:47.113387Z

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Observation c6cb44cb-5968-4e27-a2a5-db65558e9b80 · outbound

This paper cites 704–720 (1995).

Learning more with the same effort: how randomization improves the robustness of a robotic deep reinforcement learning agent 704–720 (1995)

Reference 43

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8d08a790-cd4e-40eb-acd5-e5d9cfa84e5e · outbound

This paper cites Computing Research Repository (CoRR) (2020).

Learning more with the same effort: how randomization improves the robustness of a robotic deep reinforcement learning agent Computing Research Repository (CoRR) (2020)

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:10:48.279380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 661e17f2-5d64-4b2b-a7aa-02aabacb8ad9 · outbound

This paper cites Measuring the Reliability of Reinforcement Learning Algorithms.

Learning more with the same effort: how randomization improves the robustness of a robotic deep reinforcement learning agent Measuring the Reliability of Reinforcement Learning Algorithms

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-10T15:10:47.126595Z

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Observation b428c9ce-ee13-4da5-bc0b-f8df9bf36cb3 · outbound

This paper cites Evaluating the Performance of Reinforcement Learning Algorithms.

Learning more with the same effort: how randomization improves the robustness of a robotic deep reinforcement learning agent Evaluating the Performance of Reinforcement Learning Algorithms

Reference 46

Resolution: verified exact; local_arxiv, observed 2026-08-10T15:10:47.298842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 100c74ea-4e85-4ad9-885f-fd65736950fd · outbound

This paper cites https://pytorch.org/assets/deep-learning/Deep-Learning- with-PyTorch.pdf.

Learning more with the same effort: how randomization improves the robustness of a robotic deep reinforcement learning agent https://pytorch.org/assets/deep-learning/Deep-Learning- with-PyTorch.pdf

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:10:48.265528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Pith citing papers

No inbound Pith citation observations are available.