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Paper Citation Record · LEDGER

A Primer on SO(3) Action Representations in Deep Reinforcement Learning

As of 8 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 1 inbound Pith citation observation for arXiv:2510.11103.

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

pith.paper-citation-record.v1
2510.11103 v3

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T10:14:41.098649Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-13T01:28:02.329050Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

32 of 32 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved32
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 70f3e9f6-838c-494e-a33d-f3d047a68ac3 · outbound

This paper cites write newline.

A Primer on SO(3) Action Representations in Deep Reinforcement Learning write newline

Reference 1

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source=arxiv_source observed=2026-08-04T10:14:36.658481Z digest=sha256:e22fb53b844e89f5df39c370a2e631fe2d43a1b4c5237146ba758c259f17e88a

Observation 34f2eab4-be8b-4c45-a4b4-add44de45118 · outbound

This paper cites Abu-Dakka.

A Primer on SO(3) Action Representations in Deep Reinforcement Learning Abu-Dakka

Reference 2

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source=arxiv_source observed=2026-08-04T10:14:36.774196Z digest=sha256:6c549053c14c3ecc25e5d63339b836967e844d610a0f2e488e1c2170e968c90c

Observation 3c560ffc-fc95-4179-b1a2-d68d010dac33 · outbound

This paper cites Abu-Dakka.

A Primer on SO(3) Action Representations in Deep Reinforcement Learning Abu-Dakka

Reference 3

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source=arxiv_source observed=2026-08-04T10:14:36.922501Z digest=sha256:ccf0f8c1e7321aa05d485fe131fd65e421c041b837a36c2a1779c8f4f4cf0ee4

Observation 3d2d1c23-b8eb-454d-aff7-c258430298db · outbound

This paper cites H indsight E xperience R eplay.

A Primer on SO(3) Action Representations in Deep Reinforcement Learning H indsight E xperience R eplay

Reference 4

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source=arxiv_source observed=2026-08-04T10:14:37.083063Z digest=sha256:b898c6bc605ff7ddf97b8859ac1cba46de127f750e6bc3b03c32a6c6b641580e

Observation 4bf9ae81-c8ca-4129-9a6a-fadd5bc21c5c · outbound

This paper cites an unresolved cited work.

A Primer on SO(3) Action Representations in Deep Reinforcement Learning Unresolved cited work

Reference 5

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source=arxiv_source observed=2026-08-04T10:14:37.213010Z digest=sha256:e60d8b5b4491d06fe45c8d8f13439d10285778c2994f3b66bfb10be5240acc34

Observation fe3c67d7-7a20-48f8-9527-fbefc6a27d0e · outbound

This paper cites an unresolved cited work.

A Primer on SO(3) Action Representations in Deep Reinforcement Learning Unresolved cited work

Reference 6

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source=arxiv_source observed=2026-08-04T10:14:37.390909Z digest=sha256:725ae2af41c8413043d62260681e7339f2d65f77413202002b5ef3218df73ad9

Observation 2b2cb84d-a1b5-46d7-bd1f-ea3e8fa3387f · outbound

This paper cites A lgorithms for H yper- P arameter O ptimization.

A Primer on SO(3) Action Representations in Deep Reinforcement Learning A lgorithms for H yper- P arameter O ptimization

Reference 7

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source=arxiv_source observed=2026-08-04T10:14:37.548947Z digest=sha256:3a4b3d76ce5bf20bca15637efe291b1de65b118931f80d3053e570209e8fc7f5

Observation 2f800ef6-aab7-4bd8-be99-05b226213c81 · outbound

This paper cites Hall, Zhaocong Yuan, Siqi Zhou, Jacopo Panerati, and Angela P.

A Primer on SO(3) Action Representations in Deep Reinforcement Learning Hall, Zhaocong Yuan, Siqi Zhou, Jacopo Panerati, and Angela P

Reference 8

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source=arxiv_source observed=2026-08-04T10:14:37.711345Z digest=sha256:dc11b751e3c201d8b483a59e714be1e31ced90c737c37ba91b538cb08a81eaff

Observation b35011e8-dcc9-4bed-b418-7fed89f61172 · outbound

This paper cites D eep R egression on M anifolds: A 3 D R otation C ase S tudy.

A Primer on SO(3) Action Representations in Deep Reinforcement Learning D eep R egression on M anifolds: A 3 D R otation C ase S tudy

Reference 9

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source=arxiv_source observed=2026-08-04T10:14:37.849749Z digest=sha256:568b1586df5a2d36e80dbcabeeb328bf2c0d5c0c6e8a02813c6b36bdad64aa83

Observation f28ace73-5a75-497e-aa18-460e59e9b1a0 · outbound

This paper cites A ddressing F unction A pproximation E rror in A ctor- C ritic M ethods.

A Primer on SO(3) Action Representations in Deep Reinforcement Learning A ddressing F unction A pproximation E rror in A ctor- C ritic M ethods

Reference 10

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source=arxiv_source observed=2026-08-04T10:14:37.988015Z digest=sha256:82268c5e9e65b3029e42ab548dc8857eb6c49691984dfd51fbe40bc7b64c3c1b

Observation cbe6e35e-cd41-4ecf-81d0-34f68dd01637 · outbound

This paper cites Ren\' e Geist, Jonas Frey, Mikel Zhobro, Anna Levina, and Georg Martius.

A Primer on SO(3) Action Representations in Deep Reinforcement Learning Ren\' e Geist, Jonas Frey, Mikel Zhobro, Anna Levina, and Georg Martius

Reference 11

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source=arxiv_source observed=2026-08-04T10:14:38.147663Z digest=sha256:c448ec2339d13cb3d5f504c85ad7b34c5f5833fefafe6eebdfebf7ee7309654f

Observation 65119176-5d23-4a2f-887e-6e8937d68515 · outbound

This paper cites S oft A ctor- C ritic: O ff- P olicy M aximum E ntropy D eep R einforcement L earning with a S tochastic A ctor.

A Primer on SO(3) Action Representations in Deep Reinforcement Learning S oft A ctor- C ritic: O ff- P olicy M aximum E ntropy D eep R einforcement L earning with a S tochastic A ctor

Reference 12

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source=arxiv_source observed=2026-08-04T10:14:38.304469Z digest=sha256:38abf6551220bb393dc001f2fb22b1c6df1ddd9c07695c0134ea8e5ebb89ec9e

Observation 31c6fb07-c8e7-41be-9b6f-15fb42d8dc63 · outbound

This paper cites VIME : V ariational I nformation M aximizing E xploration.

A Primer on SO(3) Action Representations in Deep Reinforcement Learning VIME : V ariational I nformation M aximizing E xploration

Reference 13

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source=arxiv_source observed=2026-08-04T10:14:38.436486Z digest=sha256:7510ee3ff88f945e982e19531726fd379823d6c9955ae21082bf2cfa74d1da95

Observation bb5deb26-39ca-4af1-a6db-d8b397ebc32d · outbound

This paper cites C hampion-level drone racing using deep reinforcement learning.

A Primer on SO(3) Action Representations in Deep Reinforcement Learning C hampion-level drone racing using deep reinforcement learning

Reference 14

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source=arxiv_source observed=2026-08-04T10:14:38.638726Z digest=sha256:915ea88f0c90c5c4d9ff44755cf3ab122109bba988a7977d26e002a7eb4814aa

Observation 6da12332-cef8-4fd3-a35a-3ebf40d5b22f · outbound

This paper cites A unified approach for motion and force control of robot manipulators: The operational space formulation.

A Primer on SO(3) Action Representations in Deep Reinforcement Learning A unified approach for motion and force control of robot manipulators: The operational space formulation

Reference 15

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source=arxiv_source observed=2026-08-04T10:14:38.751358Z digest=sha256:1df1040d7492a287c89409fd4c834241a08dc5ff35810552dbaeca2148a258d6

Observation 6f9b3f91-ecfa-4f11-9c09-f5e156dae7d7 · outbound

This paper cites Lillicrap, Jonathan J.

A Primer on SO(3) Action Representations in Deep Reinforcement Learning Lillicrap, Jonathan J

Reference 16

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source=arxiv_source observed=2026-08-04T10:14:38.908009Z digest=sha256:ee566cbf85aae9ce912a3debe95bd08ff5f7c66ef1de0ca99293d28f69673dd0

Observation 905c5898-e7ea-43c5-9918-8910588982b6 · outbound

This paper cites L inear and G eometric A lgebra.

A Primer on SO(3) Action Representations in Deep Reinforcement Learning L inear and G eometric A lgebra

Reference 17

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source=arxiv_source observed=2026-08-04T10:14:39.026205Z digest=sha256:6be8bc11cfa3f2d54bea19db8b78950f8351a94a806704dbc1895edcc51fad93

Observation 1f512034-2390-42b3-85c8-f9c46594550b · outbound

This paper cites Rosen, W.

A Primer on SO(3) Action Representations in Deep Reinforcement Learning Rosen, W

Reference 18

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source=arxiv_source observed=2026-08-04T10:14:39.170596Z digest=sha256:1c39c83a3fa17d18b8414f98dffbe0fc258c8735f07f4d43a51554a12e9224cf

Observation be1b9fa2-8a08-40fe-b298-64330b78b263 · outbound

This paper cites Chen, Xi Chen, Tamim Asfour, Pieter Abbeel, and Marcin Andrychowicz.

A Primer on SO(3) Action Representations in Deep Reinforcement Learning Chen, Xi Chen, Tamim Asfour, Pieter Abbeel, and Marcin Andrychowicz

Reference 19

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source=arxiv_source observed=2026-08-04T10:14:39.288130Z digest=sha256:b249b72fefa203c2f39253e08515eecf919e2645eb8c2895f9b1e0001b307578

Observation a793cf4d-05f7-455f-85b3-81f01cc387e2 · outbound

This paper cites Sch\"onemann.

A Primer on SO(3) Action Representations in Deep Reinforcement Learning Sch\"onemann

Reference 20

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Observation 220252c3-d0d6-4f20-b33b-b9ee14df079a · outbound

This paper cites R einforcement L earning with L ie G roup O rientations for R obotics.

A Primer on SO(3) Action Representations in Deep Reinforcement Learning R einforcement L earning with L ie G roup O rientations for R obotics

Reference 21

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source=arxiv_source observed=2026-08-04T10:14:39.595892Z digest=sha256:6490ff022d7ce2818a4e3564435c163553f2e36e8c9a3996d3b1a3d69e5c2362

Observation b93a5033-a2f9-41bb-8823-2792133da305 · outbound

This paper cites Proximal Policy Optimization Algorithms.

A Primer on SO(3) Action Representations in Deep Reinforcement Learning Proximal Policy Optimization Algorithms

Reference 22

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source=arxiv_source observed=2026-08-04T10:14:39.750346Z digest=sha256:ad63cd5cd2aeb944c334cd806dfef51832b940d5d18edb5b15fdb14a146c211a

Observation 3b249c32-3214-47bd-aaff-e389d9ad9f94 · outbound

This paper cites A micro Lie theory for state estimation in robotics.

A Primer on SO(3) Action Representations in Deep Reinforcement Learning A micro Lie theory for state estimation in robotics

Reference 23

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source=arxiv_source observed=2026-08-04T10:14:39.873540Z digest=sha256:89e245ffb3116beb182a0bcf52bafe6ffbc30a1193062f067e8ee528b51d2526

Observation a5d17bb9-9a45-4d75-9ec6-111f10f6b691 · outbound

This paper cites A utonomous D rone R acing with D eep R einforcement L earning.

A Primer on SO(3) Action Representations in Deep Reinforcement Learning A utonomous D rone R acing with D eep R einforcement L earning

Reference 24

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source=arxiv_source observed=2026-08-04T10:14:39.987804Z digest=sha256:164ec8aa96a16c530755304b7e3370e3d6c03cbcbc66e4210a64051ee103748e

Observation ef3a951c-bfce-42f8-8dbb-631a9fb01911 · outbound

This paper cites Schoellig.

A Primer on SO(3) Action Representations in Deep Reinforcement Learning Schoellig

Reference 25

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source=arxiv_source observed=2026-08-04T10:14:40.122465Z digest=sha256:c32bca7cda6bd2f7cf9b39d855c8f50339263be6ac6ef74f9a781dd38e2fb748

Observation dd44a5b8-d316-466c-b6c5-2153ce34b1e0 · outbound

This paper cites MuJoCo : A physics engine for model-based control.

A Primer on SO(3) Action Representations in Deep Reinforcement Learning MuJoCo : A physics engine for model-based control

Reference 26

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source=arxiv_source observed=2026-08-04T10:14:40.273313Z digest=sha256:ec70d72450a2921a024d526aae3a8c38aa6df2e09cec4fc5ec7044eb6a5fbfd6

Observation e3bf36de-0266-4a9f-8e40-703ad7ffd827 · outbound

This paper cites Oliphant, Matt Haberland, Tyler Reddy, David Cournapeau, Evgeni Burovski, Pearu Peterson, Warren Weckesser, Jonathan Bright, St \'e fan J.

A Primer on SO(3) Action Representations in Deep Reinforcement Learning Oliphant, Matt Haberland, Tyler Reddy, David Cournapeau, Evgeni Burovski, Pearu Peterson, Warren Weckesser, Jonathan Bright, St \'e fan J

Reference 27

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source=arxiv_source observed=2026-08-04T10:14:40.396956Z digest=sha256:037a78e27201e6049366860646480b239c04326e9416d74504434908fa6d67af

Observation 63cd3c7e-dba7-48e6-9c10-e9e87f1a13e7 · outbound

This paper cites Hall, Siqi Zhou, Lukas Brunke, Melissa Greeff, Jacopo Panerati, and Angela P.

A Primer on SO(3) Action Representations in Deep Reinforcement Learning Hall, Siqi Zhou, Lukas Brunke, Melissa Greeff, Jacopo Panerati, and Angela P

Reference 28

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source=arxiv_source observed=2026-08-04T10:14:40.516769Z digest=sha256:4a58dc17b8d4aad781af262bb1683f0248afe73552339abc7e0a5b8344da6187

Observation 87a906e7-e4e3-4e2a-8065-a41d12ad4933 · outbound

This paper cites O n the C ontinuity of R otation R epresentations in N eural N etworks.

A Primer on SO(3) Action Representations in Deep Reinforcement Learning O n the C ontinuity of R otation R epresentations in N eural N etworks

Reference 29

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source=arxiv_source observed=2026-08-04T10:14:40.686504Z digest=sha256:58eb714d8d401065cbb7156862d9d5aec5a6068e7503c96cfb8a5d04ae145e15

Observation 9168e4ab-4768-4550-a691-bdcc6e069ee9 · outbound

This paper cites @esa (Ref.

A Primer on SO(3) Action Representations in Deep Reinforcement Learning @esa (Ref

Reference 31

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source=arxiv_source observed=2026-08-04T10:14:40.933627Z digest=sha256:4af96ecc5a086b9cb749f36b2a6f5473a50c7614e66c1de52450709f290e5743

Observation e662e65a-d76a-40a1-8297-043c669e194d · outbound

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A Primer on SO(3) Action Representations in Deep Reinforcement Learning Unresolved cited work

Reference 32

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source=arxiv_source observed=2026-08-04T10:14:41.022850Z digest=sha256:f828ee51b0f1d4fe6f2b511db68e1cdeb6f3cf9b6f8701cc8845c7d1919c2804

Observation d99186b9-7e07-494f-bd14-fcaba1f7999e · outbound

This paper cites robosuite: A Modular Simulation Framework and Benchmark for Robot Learning.

A Primer on SO(3) Action Representations in Deep Reinforcement Learning robosuite: A Modular Simulation Framework and Benchmark for Robot Learning

Reference 33

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source=arxiv_source observed=2026-08-04T10:14:41.098649Z digest=sha256:631c137bb9f49ac68bdb53d677a6462eef8b7bf7e1724efb9808d01fcaa6951d

Pith citing papers

Observation 04c8e684-ad91-4371-b019-98abaae2804d · inbound

Revisiting Euler-Angle Regression with Kolmogorov-Arnold Networks cites this paper.

Revisiting Euler-Angle Regression with Kolmogorov-Arnold Networks A Primer on SO(3) Action Representations in Deep Reinforcement Learning

Reference 9

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source=pdf_text observed=2026-07-13T01:28:02.329050Z digest=sha256:e7cbdcf88670398b7cb37bddf3cca55ad54a816c6b68cb723981c1cd01196276