Paper Citation Record · LEDGER

Optimizing Metachronal Paddling with Reinforcement Learning at Low Reynolds Number

As of 22 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2507.18849.

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

pith.paper-citation-record.v1
2507.18849 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:12:54.122371Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

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Source: cited_works

Reference resolution

33 of 33 outbound references displayed

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verified fuzzy27
unresolved2
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External citation measurements

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Outbound references

Observation c8d4e98c-838f-4173-86f2-f28f0b3d3ba6 · outbound

This paper cites In: Physics and Our World: Reissue of the Proceedings of a Symposium in Honor of Vic- tor F Weisskopf, pp.

Optimizing Metachronal Paddling with Reinforcement Learning at Low Reynolds Number In: Physics and Our World: Reissue of the Proceedings of a Symposium in Honor of Vic- tor F Weisskopf, pp

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:12:54.479571Z

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Observation ce3aba5b-e166-4648-945a-0d2b7682c55c · outbound

This paper cites Reports on progress in physics 78(5), 056601 (2015).

Optimizing Metachronal Paddling with Reinforcement Learning at Low Reynolds Number Reports on progress in physics 78(5), 056601 (2015)

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:12:54.469256Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 4ee400ae-8aee-4cc9-94b4-2e704b8b1f3c · outbound

This paper cites : Metachronal motion across scales: current challenges and future directions.

Optimizing Metachronal Paddling with Reinforcement Learning at Low Reynolds Number : Metachronal motion across scales: current challenges and future directions

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:12:54.460060Z

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Observation 9d638ef4-6619-48ac-8686-201f76c73bb0 · outbound

This paper cites Physical Review E 95(5), 052412 (2017).

Optimizing Metachronal Paddling with Reinforcement Learning at Low Reynolds Number Physical Review E 95(5), 052412 (2017)

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:12:54.450238Z

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Observation 76fdb9c3-17f1-47a1-adc1-37e2f2365046 · outbound

This paper cites Journal of Cell Science 3(32), 503–521 (1954).

Optimizing Metachronal Paddling with Reinforcement Learning at Low Reynolds Number Journal of Cell Science 3(32), 503–521 (1954)

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:12:54.440257Z

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Observation 692df6ea-7985-4576-a9c6-8bdc3b5ec27f · outbound

This paper cites Physics of Fluids 26(9) (2014).

Optimizing Metachronal Paddling with Reinforcement Learning at Low Reynolds Number Physics of Fluids 26(9) (2014)

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:12:54.430931Z

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Observation 9cee3724-9724-4768-9f50-79b267799f1f · outbound

This paper cites Marine biology 158, 2541–2554 (2011).

Optimizing Metachronal Paddling with Reinforcement Learning at Low Reynolds Number Marine biology 158, 2541–2554 (2011)

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:12:54.421691Z

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Observation c2bfb510-c9e2-4903-bbfb-9c380c064704 · outbound

This paper cites Integrative and Comparative Biology 61(5), 1631–1643 (2021).

Optimizing Metachronal Paddling with Reinforcement Learning at Low Reynolds Number Integrative and Comparative Biology 61(5), 1631–1643 (2021)

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:12:54.411375Z

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Observation 2d9ae837-4280-4c6f-972f-db92b3471c97 · outbound

This paper cites Scientiﬁc reports 6(1), 30713 (2016).

Optimizing Metachronal Paddling with Reinforcement Learning at Low Reynolds Number Scientiﬁc reports 6(1), 30713 (2016)

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:12:54.401197Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 323f5603-c53a-41fe-aca3-09903658db5b · outbound

This paper cites Journal of Intelli- gent & Robotic Systems 63, 399–416 (2011).

Optimizing Metachronal Paddling with Reinforcement Learning at Low Reynolds Number Journal of Intelli- gent & Robotic Systems 63, 399–416 (2011)

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:12:54.392425Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation bd16f093-b2c4-40af-bc03-02622bbadec8 · outbound

This paper cites Ocean Engineering 297, 116963 (2024).

Optimizing Metachronal Paddling with Reinforcement Learning at Low Reynolds Number Ocean Engineering 297, 116963 (2024)

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:12:54.383362Z

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Observation 9dfeeeb7-00e1-412e-ba8d-a9c93c427fcf · outbound

This paper cites Bioinspiration & Biomimetics 18(1), 16 011003 (2022).

Optimizing Metachronal Paddling with Reinforcement Learning at Low Reynolds Number Bioinspiration & Biomimetics 18(1), 16 011003 (2022)

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:12:54.373823Z

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Observation c7e16db9-ba8f-4cae-bf57-b75bf3de5ffc · outbound

This paper cites Pro- ceedings of the National Academy of Sciences 108(38), 15727–15732 (2011).

Optimizing Metachronal Paddling with Reinforcement Learning at Low Reynolds Number Pro- ceedings of the National Academy of Sciences 108(38), 15727–15732 (2011)

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:12:54.363672Z

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Observation f75b2acd-60d6-4f4a-9e52-a1f068dbc6ec · outbound

This paper cites Physical Review E 92(2), 023020 (2015).

Optimizing Metachronal Paddling with Reinforcement Learning at Low Reynolds Number Physical Review E 92(2), 023020 (2015)

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:12:54.353680Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 51a94665-56a9-4138-939d-20266f9f801b · outbound

This paper cites Computers & Fluids 225, 104973 (2021).

Optimizing Metachronal Paddling with Reinforcement Learning at Low Reynolds Number Computers & Fluids 225, 104973 (2021)

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:12:54.343955Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8372398b-72d1-46b3-b105-e2e2d4edf834 · outbound

This paper cites Physical Review Fluids 5(7), 074101 (2020).

Optimizing Metachronal Paddling with Reinforcement Learning at Low Reynolds Number Physical Review Fluids 5(7), 074101 (2020)

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:12:54.333908Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 71cd351b-0c9b-4918-8a55-93a4eaaa9008 · outbound

This paper cites Physics of Fluids 35(3) (2023).

Optimizing Metachronal Paddling with Reinforcement Learning at Low Reynolds Number Physics of Fluids 35(3) (2023)

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:12:54.324654Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ef95508a-e599-4645-b3b7-f6109e983c9b · outbound

This paper cites Physical Review Fluids 6(5), 050505 (2021).

Optimizing Metachronal Paddling with Reinforcement Learning at Low Reynolds Number Physical Review Fluids 6(5), 050505 (2021)

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:12:54.315117Z

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Observation 436f79ac-0fc4-48d7-885f-ee18ee34839c · outbound

This paper cites an unresolved cited work.

Optimizing Metachronal Paddling with Reinforcement Learning at Low Reynolds Number Unresolved cited work

Reference 19

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Source-reported events for the cited work

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Observation 25a0ad97-c0ba-41ae-9733-3fc42fd66cad · outbound

This paper cites Robotics and Autonomous Systems 175, 104659 (2024).

Optimizing Metachronal Paddling with Reinforcement Learning at Low Reynolds Number Robotics and Autonomous Systems 175, 104659 (2024)

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:12:54.299986Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 862e655a-061d-4717-ad19-77fc3beb0e42 · outbound

This paper cites Advances in Neural Information Processing Systems 36 (2024).

Optimizing Metachronal Paddling with Reinforcement Learning at Low Reynolds Number Advances in Neural Information Processing Systems 36 (2024)

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:12:54.290955Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0ae37af3-d4ef-4f03-ba29-5c4d7ee32bbb · outbound

This paper cites SIAM Journal on Scientiﬁc Com- puting 23(4), 1204–1225 (2001).

Optimizing Metachronal Paddling with Reinforcement Learning at Low Reynolds Number SIAM Journal on Scientiﬁc Com- puting 23(4), 1204–1225 (2001)

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:12:54.280463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 07239b46-6262-4a1c-96cb-836cc020ca85 · outbound

This paper cites SIAM, Philadelphia (1975).

Optimizing Metachronal Paddling with Reinforcement Learning at Low Reynolds Number SIAM, Philadelphia (1975)

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:12:54.270148Z

Source-reported events for the cited work

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Observation 3cabef6a-03c9-41b2-bc10-29eaf5c3a5cb · outbound

This paper cites Communications Physics 5(1), 158 (2022).

Optimizing Metachronal Paddling with Reinforcement Learning at Low Reynolds Number Communications Physics 5(1), 158 (2022)

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:12:54.260200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9a565830-4db0-4457-a060-e773fc276be8 · outbound

This paper cites Learning swimming via deep reinforcement learning.

Optimizing Metachronal Paddling with Reinforcement Learning at Low Reynolds Number Learning swimming via deep reinforcement learning

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-08-15T18:12:54.209150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 94229aeb-e8e6-46c0-9153-b83bb73afb23 · outbound

This paper cites Navigation of a Three-Link Microswimmer via Deep Reinforcement Learning.

Optimizing Metachronal Paddling with Reinforcement Learning at Low Reynolds Number Navigation of a Three-Link Microswimmer via Deep Reinforcement Learning

Reference 26

Resolution: metadata mismatch; local_arxiv, observed 2026-08-15T18:12:54.195730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b99095eb-7341-4f54-9d45-cb3f9fa90464 · outbound

This paper cites Proceedings of the National Academy of Sciences 117(48), 30201–30207 (2020).

Optimizing Metachronal Paddling with Reinforcement Learning at Low Reynolds Number Proceedings of the National Academy of Sciences 117(48), 30201–30207 (2020)

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:12:54.249873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b4c15e1a-46ff-42f1-9e4a-ecff40622a4b · outbound

This paper cites Journal of Fluid Mechan- ics 55(1), 1–23 (1972).

Optimizing Metachronal Paddling with Reinforcement Learning at Low Reynolds Number Journal of Fluid Mechan- ics 55(1), 1–23 (1972)

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:12:54.239279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 10cc9178-9f0a-41f8-9a46-9acc61c65041 · outbound

This paper cites Deep Reinforcement Learning: An Overview.

Optimizing Metachronal Paddling with Reinforcement Learning at Low Reynolds Number Deep Reinforcement Learning: An Overview

Reference 29

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Source-reported events for the cited work

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Observation b17ac197-22ce-479e-a918-b7a7277072b5 · outbound

This paper cites Deep reinforcement learning for tracking a moving target in jellyfish-like swimming.

Optimizing Metachronal Paddling with Reinforcement Learning at Low Reynolds Number Deep reinforcement learning for tracking a moving target in jellyfish-like swimming

Reference 30

Resolution: metadata mismatch; local_arxiv, observed 2026-08-15T18:12:54.171868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0c10024c-1b41-4750-b854-7cb48906bd9a · outbound

This paper cites Proceedings of the National Academy of Sciences 115(23), 5849–5854 (2018).

Optimizing Metachronal Paddling with Reinforcement Learning at Low Reynolds Number Proceedings of the National Academy of Sciences 115(23), 5849–5854 (2018)

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:12:54.229377Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 634e1531-2a30-4287-bf49-b7696c379ce7 · outbound

This paper cites Deep Dive into Model-free Reinforcement Learning for Biological and Robotic Systems: Theory and Practice.

Optimizing Metachronal Paddling with Reinforcement Learning at Low Reynolds Number Deep Dive into Model-free Reinforcement Learning for Biological and Robotic Systems: Theory and Practice

Reference 32

Resolution: metadata mismatch; local_arxiv, observed 2026-08-15T18:12:54.157032Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ee62d1e1-438a-4ff1-b85c-05e8ebacf3d9 · outbound

This paper cites Scientiﬁc Reports 13(1), 9397 (2023) 18.

Optimizing Metachronal Paddling with Reinforcement Learning at Low Reynolds Number Scientiﬁc Reports 13(1), 9397 (2023) 18

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:12:54.219746Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Pith citing papers

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