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Paper Citation Record · LEDGER

Rethinking the Suitability of Reinforcement Learning Algorithms Under Practical Transfer Constraints

As of 19 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2607.17326.

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

pith.paper-citation-record.v1
2607.17326 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T18:24:37.178711Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

39 of 39 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved39
  • parse uncertain0
  • malformed identifier0
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External citation measurements

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Outbound references

Observation a848c12d-5260-4413-b1ce-9edf9af62735 · outbound

This paper cites and Barto, Andrew G.

Rethinking the Suitability of Reinforcement Learning Algorithms Under Practical Transfer Constraints and Barto, Andrew G

Reference 1

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source=arxiv_source observed=2026-08-01T18:24:32.597716Z digest=sha256:7ece5d7d7cf631e02b4c8e264c516bbf397be4258873cb81802d0358271ff05d

Observation b471fa2d-cb0a-4dde-840c-c7bd47786fc2 · outbound

This paper cites an unresolved cited work.

Rethinking the Suitability of Reinforcement Learning Algorithms Under Practical Transfer Constraints Unresolved cited work

Reference 2

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source=arxiv_source observed=2026-08-01T18:24:32.696857Z digest=sha256:dc5a74640df9aae8abfb7dbaee42acb4f7261a2b150df7d5f231d4ce4bdc4cdb

Observation 6185f612-63b1-4067-a1b5-4af47d873440 · outbound

This paper cites an unresolved cited work.

Rethinking the Suitability of Reinforcement Learning Algorithms Under Practical Transfer Constraints Unresolved cited work

Reference 3

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source=arxiv_source observed=2026-08-01T18:24:32.866128Z digest=sha256:290f232dda5ccdd909d356cdc9d549ff69161777906a66f7eba0cfacacf8c430

Observation c8f17a52-5b1c-47bf-bdeb-f398e8edc5ad · outbound

This paper cites Robotics: Science and Systems , year =.

Rethinking the Suitability of Reinforcement Learning Algorithms Under Practical Transfer Constraints Robotics: Science and Systems , year =

Reference 4

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source=arxiv_source observed=2026-08-01T18:24:32.994104Z digest=sha256:396b9d9ca9131c0c00c5c76f9187148bd18a2db2e5ae3f8383623d12c232340d

Observation c3dd032d-fec9-4e2a-9f43-c75a8e12d110 · outbound

This paper cites IEEE International Conference on Robotics and Automation (ICRA) , pages =.

Rethinking the Suitability of Reinforcement Learning Algorithms Under Practical Transfer Constraints IEEE International Conference on Robotics and Automation (ICRA) , pages =

Reference 5

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source=arxiv_source observed=2026-08-01T18:24:33.157628Z digest=sha256:ab22c1fb24b1748a1e010094a4c9bec71859550dad68f37b77fcce17b1deeb1f

Observation bbe37d4e-5dbf-481b-b780-acc05b7b5501 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Rethinking the Suitability of Reinforcement Learning Algorithms Under Practical Transfer Constraints Proximal Policy Optimization Algorithms

Reference 6

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source=arxiv_source observed=2026-08-01T18:24:33.297243Z digest=sha256:d84216985500021522c5ffc85fce4395b896b16ee20887170ad3cb050e143c05

Observation 7729078f-6434-4f2f-9ee5-26c88ad89feb · outbound

This paper cites Haarnoja and A.

Rethinking the Suitability of Reinforcement Learning Algorithms Under Practical Transfer Constraints Haarnoja and A

Reference 7

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Observation 39823293-82e8-4502-9d43-208f7540f9a8 · outbound

This paper cites International Conference on Learning Representations , year =.

Rethinking the Suitability of Reinforcement Learning Algorithms Under Practical Transfer Constraints International Conference on Learning Representations , year =

Reference 8

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source=arxiv_source observed=2026-08-01T18:24:33.553716Z digest=sha256:0c9472f645799f7c6add1fe18d721df603f68515fcdac85d9c6303559ea3fce9

Observation 46a0b13b-da11-4633-b34d-390189d57838 · outbound

This paper cites IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) , pages =.

Rethinking the Suitability of Reinforcement Learning Algorithms Under Practical Transfer Constraints IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) , pages =

Reference 9

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Observation 70054ef2-2ad4-4c2c-9d1d-6f6eedde1844 · outbound

This paper cites Robotics: Science and Systems , year =.

Rethinking the Suitability of Reinforcement Learning Algorithms Under Practical Transfer Constraints Robotics: Science and Systems , year =

Reference 10

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Observation c3f16fdc-8efd-4ccf-9b46-5c7fd59a6515 · outbound

This paper cites Software Impacts , volume =.

Rethinking the Suitability of Reinforcement Learning Algorithms Under Practical Transfer Constraints Software Impacts , volume =

Reference 11

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source=arxiv_source observed=2026-08-01T18:24:33.999260Z digest=sha256:5f8b85a675ecf6cca6dfe36ac9943371e92b1440dcbce44e0a813da98e951da9

Observation c21a29d0-be07-4658-bd06-c64e4fc458b8 · outbound

This paper cites 2025 , month = feb, url =.

Rethinking the Suitability of Reinforcement Learning Algorithms Under Practical Transfer Constraints 2025 , month = feb, url =

Reference 12

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source=arxiv_source observed=2026-08-01T18:24:34.143401Z digest=sha256:2ac3979a8a30a5d24df460a6ecbccfafa2a48890d5206890bf6fb91cfe76eb10

Observation d2275255-2f24-4c38-a5e6-79de93b74794 · outbound

This paper cites arXiv preprint arXiv:2512.01996 , year =.

Rethinking the Suitability of Reinforcement Learning Algorithms Under Practical Transfer Constraints arXiv preprint arXiv:2512.01996 , year =

Reference 13

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Observation 49e850be-0592-468d-86fa-58991717702f · outbound

This paper cites Solving Rubik's Cube with a Robot Hand.

Rethinking the Suitability of Reinforcement Learning Algorithms Under Practical Transfer Constraints Solving Rubik's Cube with a Robot Hand

Reference 14

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source=arxiv_source observed=2026-08-01T18:24:34.340869Z digest=sha256:6a9d9095cf910041cd743e1363478950afcfcba8a96c271f279a135e2306c8e8

Observation 41001a9b-bd3e-44b6-be08-c298a80843bc · outbound

This paper cites Conference on Robot Learning , pages =.

Rethinking the Suitability of Reinforcement Learning Algorithms Under Practical Transfer Constraints Conference on Robot Learning , pages =

Reference 15

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Observation 562b4062-0c2a-4cda-9577-0f528a1b3709 · outbound

This paper cites International Conference on Learning Representations , year =.

Rethinking the Suitability of Reinforcement Learning Algorithms Under Practical Transfer Constraints International Conference on Learning Representations , year =

Reference 16

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source=arxiv_source observed=2026-08-01T18:24:34.560516Z digest=sha256:bac871b3bcd10e3e50600743425dfcecbd7b92340e8c0564506587467c0961cf

Observation f0437e5b-c7f3-4532-bfc0-5f55d3549313 · outbound

This paper cites International Conference on Machine Learning , pages =.

Rethinking the Suitability of Reinforcement Learning Algorithms Under Practical Transfer Constraints International Conference on Machine Learning , pages =

Reference 17

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Observation 31ba89ef-86b3-49ef-89c6-14ef347c90a6 · outbound

This paper cites Conference on Robot Learning , pages =.

Rethinking the Suitability of Reinforcement Learning Algorithms Under Practical Transfer Constraints Conference on Robot Learning , pages =

Reference 18

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source=arxiv_source observed=2026-08-01T18:24:34.803292Z digest=sha256:c5a58d8f6c4a44fae6c56583c85cdf0a9ea5e9022eeba0ea2f0d747a42ecc488

Observation 01b245a7-137c-4728-8d87-ac1111d8c1c4 · outbound

This paper cites Frontiers in Robotics and AI , volume =.

Rethinking the Suitability of Reinforcement Learning Algorithms Under Practical Transfer Constraints Frontiers in Robotics and AI , volume =

Reference 19

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Observation cf28d787-f2e9-4bfb-9a94-9a657219797d · outbound

This paper cites International Conference on Learning Representations , year =.

Rethinking the Suitability of Reinforcement Learning Algorithms Under Practical Transfer Constraints International Conference on Learning Representations , year =

Reference 20

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Observation 0da28055-71cc-4d47-a8fd-92a32786bcf8 · outbound

This paper cites International Conference on Machine Learning , pages =.

Rethinking the Suitability of Reinforcement Learning Algorithms Under Practical Transfer Constraints International Conference on Machine Learning , pages =

Reference 21

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Rethinking the Suitability of Reinforcement Learning Algorithms Under Practical Transfer Constraints arXiv preprint arXiv:2601.21363 , year =

Reference 22

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This paper cites IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) , pages =.

Rethinking the Suitability of Reinforcement Learning Algorithms Under Practical Transfer Constraints IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) , pages =

Reference 23

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Observation 640caa65-fbcb-420e-935b-50d753016a46 · outbound

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Rethinking the Suitability of Reinforcement Learning Algorithms Under Practical Transfer Constraints Araújo , title =

Reference 24

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Observation b713f978-bd0c-46f8-8c02-2e04d6754be8 · outbound

This paper cites Journal of Machine Learning Research , volume =.

Rethinking the Suitability of Reinforcement Learning Algorithms Under Practical Transfer Constraints Journal of Machine Learning Research , volume =

Reference 25

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This paper cites AAAI Conference on Artificial Intelligence , volume =.

Rethinking the Suitability of Reinforcement Learning Algorithms Under Practical Transfer Constraints AAAI Conference on Artificial Intelligence , volume =

Reference 26

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Observation 0a7d1faf-e917-4aab-94b1-05f2add36fe4 · outbound

This paper cites Massively Parallel Methods for Deep Reinforcement Learning.

Rethinking the Suitability of Reinforcement Learning Algorithms Under Practical Transfer Constraints Massively Parallel Methods for Deep Reinforcement Learning

Reference 27

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Observation 9fc829fb-3ff2-4601-aff0-0a85b4710d4d · outbound

This paper cites Asynchronous Methods for Deep Reinforcement Learning , booktitle =.

Rethinking the Suitability of Reinforcement Learning Algorithms Under Practical Transfer Constraints Asynchronous Methods for Deep Reinforcement Learning , booktitle =

Reference 28

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Observation fe235443-205d-4659-b4f4-0d519f05c464 · outbound

This paper cites Emergence of Locomotion Behaviours in Rich Environments.

Rethinking the Suitability of Reinforcement Learning Algorithms Under Practical Transfer Constraints Emergence of Locomotion Behaviours in Rich Environments

Reference 29

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Observation 0d272548-c262-4bf2-a8de-fd3c7235ef68 · outbound

This paper cites Distributed Prioritized Experience Replay , booktitle =.

Rethinking the Suitability of Reinforcement Learning Algorithms Under Practical Transfer Constraints Distributed Prioritized Experience Replay , booktitle =

Reference 30

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Observation 1e155c6f-39bb-42ab-9841-927edd53210b · outbound

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Rethinking the Suitability of Reinforcement Learning Algorithms Under Practical Transfer Constraints MuJoCo Playground

Reference 31

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source=arxiv_source observed=2026-08-01T18:24:35.875407Z digest=sha256:4fcf1e5baa5dfa451fb4a1162538c7c5763916bdac2b6a7e491cb79dcc603de2

Observation bfac1053-12eb-4fc3-b707-e4a69d85c3b2 · outbound

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Rethinking the Suitability of Reinforcement Learning Algorithms Under Practical Transfer Constraints Sutton and Andrew G

Reference 32

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This paper cites International Conference on Machine Learning , pages =.

Rethinking the Suitability of Reinforcement Learning Algorithms Under Practical Transfer Constraints International Conference on Machine Learning , pages =

Reference 33

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Observation c4a08b42-a6b4-442a-a27e-b0b64e6b658f · outbound

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Rethinking the Suitability of Reinforcement Learning Algorithms Under Practical Transfer Constraints Reinforcement Learning Journal , year =

Reference 34

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Rethinking the Suitability of Reinforcement Learning Algorithms Under Practical Transfer Constraints Advances in Neural Information Processing Systems , volume =

Reference 35

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Observation 6347b001-e6aa-4792-ac51-556997543900 · outbound

This paper cites Advances in Neural Information Processing Systems Datasets and Benchmarks Track , year =.

Rethinking the Suitability of Reinforcement Learning Algorithms Under Practical Transfer Constraints Advances in Neural Information Processing Systems Datasets and Benchmarks Track , year =

Reference 36

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Observation 2a2ae8b2-1326-4ee9-b212-80828a182a3d · outbound

This paper cites Performance Variation in Deep Reinforcement Learning.

Rethinking the Suitability of Reinforcement Learning Algorithms Under Practical Transfer Constraints Performance Variation in Deep Reinforcement Learning

Reference 37

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Observation 120930c7-d07a-499a-9091-ec870b467675 · outbound

This paper cites IEEE International Conference on Robotics and Automation (ICRA) , pages =.

Rethinking the Suitability of Reinforcement Learning Algorithms Under Practical Transfer Constraints IEEE International Conference on Robotics and Automation (ICRA) , pages =

Reference 38

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Observation 42b15221-c7e7-415f-a1b0-2990959d7dfb · outbound

This paper cites The International Journal of Robotics Research , volume =.

Rethinking the Suitability of Reinforcement Learning Algorithms Under Practical Transfer Constraints The International Journal of Robotics Research , volume =

Reference 39

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T18:24:37.178711Z digest=sha256:3e4c76c5568018a5efe2f46f5114ffa2318f88a1edeb513f1e777a38eeade710

Pith citing papers

No inbound Pith citation observations are available.