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Paper Citation Record · LEDGER

RSL-RL: A Learning Library for Robotics Research

As of 18 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 38 inbound Pith citation observations for arXiv:2509.10771.

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

pith.paper-citation-record.v1
2509.10771 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T17:38:49.293219Z

measured 81 of 81 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 38 of 38 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T15:52:55.580702Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T19:40:06.222586Z

Reference resolution

43 of 43 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved43
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1065ab50-d2b1-4d1d-9840-ff2b4d914462 · outbound

This paper cites Tensorflow: Large-scale machine learning on heterogeneous distributed systems.

RSL-RL: A Learning Library for Robotics Research Tensorflow: Large-scale machine learning on heterogeneous distributed systems

Reference 1

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source=arxiv_source observed=2026-08-04T17:38:44.706572Z digest=sha256:9cf03f59b43587f3889f7f225309299be827eceebfd419fd7afc1f2e72c0c61a

Observation e845b6b5-434a-4538-bf03-3b76a2afd95b · outbound

This paper cites Pedipulate: Enabling manipulation skills using a quadruped robot’s leg.

RSL-RL: A Learning Library for Robotics Research Pedipulate: Enabling manipulation skills using a quadruped robot’s leg

Reference 2

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source=arxiv_source observed=2026-08-04T17:38:44.760465Z digest=sha256:3afd65edca270b0f3ec875631f46a67e6e11db73a94c215600c8f46faf240a36

Observation 02e1f8da-4cfc-419f-9734-b5481a8a458b · outbound

This paper cites Experiment tracking with weights and biases, 2020.

RSL-RL: A Learning Library for Robotics Research Experiment tracking with weights and biases, 2020

Reference 3

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source=arxiv_source observed=2026-08-04T17:38:44.792698Z digest=sha256:dcf58c9ce4285710ebfb3b744524f61ab28030d439f98af6ebda52b061596203

Observation 7fbdeb03-0697-49b5-a2aa-a002674afa4c · outbound

This paper cites Torchrl: A data-driven decision-making library for pytorch, 2023.

RSL-RL: A Learning Library for Robotics Research Torchrl: A data-driven decision-making library for pytorch, 2023

Reference 4

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source=arxiv_source observed=2026-08-04T17:38:44.861932Z digest=sha256:d636d1934e571f764f7a83d3470c5369795e50b2258cc2224e60f947c148adff

Observation c5d11590-7c32-49a6-9064-addc00a700ef · outbound

This paper cites Exploration by random network distillation.

RSL-RL: A Learning Library for Robotics Research Exploration by random network distillation

Reference 5

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source=arxiv_source observed=2026-08-04T17:38:44.972732Z digest=sha256:53644e9062a990e57d830f802e2b6106879ebfef88e003df22086765eecffdb6

Observation 7e359a0c-d9d0-43e5-a1fa-9cc3ded0c554 · outbound

This paper cites Cat: Constraints as terminations for legged locomotion reinforcement learning.

RSL-RL: A Learning Library for Robotics Research Cat: Constraints as terminations for legged locomotion reinforcement learning

Reference 6

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source=arxiv_source observed=2026-08-04T17:38:45.077989Z digest=sha256:8c39b5eb2822cba93e4067d1cd22e31e77682017825c6878593b89433a89471a

Observation a217db7a-9015-47a7-9c3e-ef45be72a4f1 · outbound

This paper cites Extreme parkour with legged robots.

RSL-RL: A Learning Library for Robotics Research Extreme parkour with legged robots

Reference 7

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source=arxiv_source observed=2026-08-04T17:38:45.160382Z digest=sha256:05d8cf5ff1af040039a888db938d69d712d27ca7fdd289b3d73d2cd5ccab1f72

Observation 08a6fec3-c19a-45df-8398-a41de0bbfc2e · outbound

This paper cites Dynamic object goal pushing with mobile manipulators through model-free constrained reinforcement learning.

RSL-RL: A Learning Library for Robotics Research Dynamic object goal pushing with mobile manipulators through model-free constrained reinforcement learning

Reference 8

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source=arxiv_source observed=2026-08-04T17:38:45.309669Z digest=sha256:ca5de5a81d8c068351ceeae45ea59e544b18f481e37706e7664b2c27885a68c7

Observation b2d63cd4-4f27-47bb-a1b4-7e03869256f8 · outbound

This paper cites Deep whole-body control: learning a unified policy for manipulation and locomotion.

RSL-RL: A Learning Library for Robotics Research Deep whole-body control: learning a unified policy for manipulation and locomotion

Reference 9

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source=arxiv_source observed=2026-08-04T17:38:45.427776Z digest=sha256:b0707f26fc530283234247540c9cb3e700a553f9996b3894886becb21b922ee4

Observation 7c46f757-ea04-4819-880b-cf160d9eba1b · outbound

This paper cites Dextreme: Transfer of agile in-hand manipulation from simulation to reality.

RSL-RL: A Learning Library for Robotics Research Dextreme: Transfer of agile in-hand manipulation from simulation to reality

Reference 10

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source=arxiv_source observed=2026-08-04T17:38:45.503609Z digest=sha256:1cde5c40c817788e74db8af3e6bc0d204cd2bf890ecee34079ff32ef9733aa86

Observation a6178732-aa3c-44e3-85a2-cde176698c4a · outbound

This paper cites Attention-based map encoding for learning generalized legged locomotion.

RSL-RL: A Learning Library for Robotics Research Attention-based map encoding for learning generalized legged locomotion

Reference 11

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source=arxiv_source observed=2026-08-04T17:38:45.593452Z digest=sha256:295296625540d4f98588a0e8c2db1705a1350af14fea3df7cacd8e2c3ab4d3b9

Observation 0268c452-dcf4-44c2-ab04-d50ba5443363 · outbound

This paper cites HOVER: Versatile Neural Whole-Body Controller for Humanoid Robots.

RSL-RL: A Learning Library for Robotics Research HOVER: Versatile Neural Whole-Body Controller for Humanoid Robots

Reference 12

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source=arxiv_source observed=2026-08-04T17:38:45.728666Z digest=sha256:67b5bd4df40bd69f9ae2aa06eb78808a1f25b24d00b49644058d28048fcdb95c

Observation 9112fec6-1c4b-470d-82e9-a9ffddb3949d · outbound

This paper cites Anymal parkour: Learning agile navigation for quadrupedal robots.

RSL-RL: A Learning Library for Robotics Research Anymal parkour: Learning agile navigation for quadrupedal robots

Reference 13

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source=arxiv_source observed=2026-08-04T17:38:45.830929Z digest=sha256:caabda949ee408777e0c9b0c63e878eb88c9421a530a2933fe33c9699bb0d544

Observation b9971dcd-ccce-4cb5-88bf-eb0acd3c8b96 · outbound

This paper cites The 37 implementation details of proximal policy optimization.

RSL-RL: A Learning Library for Robotics Research The 37 implementation details of proximal policy optimization

Reference 14

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source=arxiv_source observed=2026-08-04T17:38:45.938181Z digest=sha256:33420e1d6cfc92e329ae48ebe6b8fe27c962bd9bf0c0ce24ad68aeb04cc17a3f

Observation f471bcc2-38f4-4df7-aa9b-7e37c0f3bdbb · outbound

This paper cites Cleanrl: High-quality single-file implementations of deep reinforcement learning algorithms.

RSL-RL: A Learning Library for Robotics Research Cleanrl: High-quality single-file implementations of deep reinforcement learning algorithms

Reference 15

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source=arxiv_source observed=2026-08-04T17:38:46.046708Z digest=sha256:5769f52bb7a9343bbc3a962d60234d27c71d3047e480befecb3428e1ee9ecf10

Observation 9d7d36cc-871f-439f-8a11-fae515dfe611 · outbound

This paper cites Learning agile and dynamic motor skills for legged robots.

RSL-RL: A Learning Library for Robotics Research Learning agile and dynamic motor skills for legged robots

Reference 16

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source=arxiv_source observed=2026-08-04T17:38:46.130125Z digest=sha256:adb2c91ef9045323689ed8814251ab563404d95bc2830455ccdd6733400e3e7f

Observation 35e8cc0a-f389-4119-a6f0-70d06b7aba94 · outbound

This paper cites Learning robust autonomous navigation and locomotion for wheeled-legged robots.

RSL-RL: A Learning Library for Robotics Research Learning robust autonomous navigation and locomotion for wheeled-legged robots

Reference 17

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source=arxiv_source observed=2026-08-04T17:38:46.263737Z digest=sha256:2a8373eb61cad7f07e7858a429ddb54b213e151cb7b109e175e5d521d5082a5e

Observation e1aad844-6731-479e-831d-7c42c92aaa5d · outbound

This paper cites Marladona-towards cooperative team play using multi-agent reinforcement learning.

RSL-RL: A Learning Library for Robotics Research Marladona-towards cooperative team play using multi-agent reinforcement learning

Reference 18

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source=arxiv_source observed=2026-08-04T17:38:46.381540Z digest=sha256:570d15295adb9f0a940dd8e04b29e6c9f20f00356bc073bdcd1f15eda699566f

Observation d992db19-a3e7-4214-beb8-606f168589a4 · outbound

This paper cites Rllib: Abstractions for distributed reinforcement learning.

RSL-RL: A Learning Library for Robotics Research Rllib: Abstractions for distributed reinforcement learning

Reference 19

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source=arxiv_source observed=2026-08-04T17:38:46.502558Z digest=sha256:d9867288168dfc257fd41ea4880d1777993144cbd82597a508f0422d5bdd6ba2

Observation f511368e-5b80-4f23-b830-98fcaa96632a · outbound

This paper cites rl-games: A high-performance framework for reinforcement learning.

RSL-RL: A Learning Library for Robotics Research rl-games: A high-performance framework for reinforcement learning

Reference 20

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source=arxiv_source observed=2026-08-04T17:38:46.632215Z digest=sha256:b7a5543893cea8f6957d97eaf20d97ae42055984b20eaa708e835871f133fc81

Observation 03a54cea-b197-410f-bcac-cf8ed75250f4 · outbound

This paper cites Isaac gym: High performance gpu based physics simulation for robot learning.

RSL-RL: A Learning Library for Robotics Research Isaac gym: High performance gpu based physics simulation for robot learning

Reference 21

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source=arxiv_source observed=2026-08-04T17:38:46.737251Z digest=sha256:62642559b8a4a39e5d98b82fa291024c102e4531087ea743b26674d9617880dc

Observation 2f72c44c-2ce4-441d-966d-57a1baf6cfef · outbound

This paper cites Margolis and Pulkit Agrawal.

RSL-RL: A Learning Library for Robotics Research Margolis and Pulkit Agrawal

Reference 22

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source=arxiv_source observed=2026-08-04T17:38:46.811503Z digest=sha256:890735dfb0deeb55a332b44ac3b1f72a01218eb1d545fca362601c8e83854396

Observation 2b43cc4e-898f-4b2d-a280-6eda8745cc06 · outbound

This paper cites Learning robust perceptive locomotion for quadrupedal robots in the wild.

RSL-RL: A Learning Library for Robotics Research Learning robust perceptive locomotion for quadrupedal robots in the wild

Reference 23

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source=arxiv_source observed=2026-08-04T17:38:46.925751Z digest=sha256:4a9e4c22c69f6934d0fd690f722bd85835c52bc4928b012540d164c0b6ea5942

Observation 8238d3da-75ab-46e9-aa6a-b5d6f5f00caf · outbound

This paper cites Orbit: A unified simulation framework for interactive robot learning environments.

RSL-RL: A Learning Library for Robotics Research Orbit: A unified simulation framework for interactive robot learning environments

Reference 24

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source=arxiv_source observed=2026-08-04T17:38:47.034804Z digest=sha256:b3e44254cb433b4e5581c6908f62e37825d64a2b6e9a301906718e9a845287c0

Observation 1b307c7c-aae4-455c-9842-235e43af28a4 · outbound

This paper cites Symmetry considerations for learning task symmetric robot policies.

RSL-RL: A Learning Library for Robotics Research Symmetry considerations for learning task symmetric robot policies

Reference 25

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source=arxiv_source observed=2026-08-04T17:38:47.145691Z digest=sha256:a1b736746dfaf8fad483a82d652f4a937591feef61290034c7f60cae0dea3629

Observation 6350b5c2-c696-4a0a-9058-cdf8ed92a71b · outbound

This paper cites neptune.ai: experiment tracker, 2024.

RSL-RL: A Learning Library for Robotics Research neptune.ai: experiment tracker, 2024

Reference 26

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source=arxiv_source observed=2026-08-04T17:38:47.309798Z digest=sha256:a4c353312032f70867a9932ba83d5c34b9dc8b04f34673a33eaf52b06df37cc0

Observation 5fb63184-769c-48ea-9f66-0b732da0f7ef · outbound

This paper cites Pytorch: An imperative style, high-performance deep learning library.

RSL-RL: A Learning Library for Robotics Research Pytorch: An imperative style, high-performance deep learning library

Reference 27

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source=arxiv_source observed=2026-08-04T17:38:47.412195Z digest=sha256:ad7dcc519516b4195afbcb1d7d8d632ea1d1fc86f5aa10ccea824dc83fe2a27c

Observation fe4e9fc1-a2eb-42e5-808b-a17ebf3ce920 · outbound

This paper cites Stable-baselines3: Reliable reinforcement learning implementations.

RSL-RL: A Learning Library for Robotics Research Stable-baselines3: Reliable reinforcement learning implementations

Reference 28

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source=arxiv_source observed=2026-08-04T17:38:47.536880Z digest=sha256:d64c0bd652160258184177e7b99a8e553bdc2762bffb164b85dc45d7f64e0975

Observation 69a36922-9aa7-462e-a781-7843abf7a820 · outbound

This paper cites A reduction of imitation learning and structured prediction to no-regret online learning.

RSL-RL: A Learning Library for Robotics Research A reduction of imitation learning and structured prediction to no-regret online learning

Reference 29

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source=arxiv_source observed=2026-08-04T17:38:47.621469Z digest=sha256:2e6308f25876a2d4584ef1862adc7055d5956a1c090b9951b440a85a7d0b60a9

Observation 5b27aa67-03bc-4189-a3d9-c4c4d36a8cbd · outbound

This paper cites Learning to walk in minutes using massively parallel deep reinforcement learning.

RSL-RL: A Learning Library for Robotics Research Learning to walk in minutes using massively parallel deep reinforcement learning

Reference 30

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source=arxiv_source observed=2026-08-04T17:38:47.749008Z digest=sha256:61fd043d67f902fdb1f69ad6dfa914f3ae32b7977bb2787632105acf449fc870

Observation ab4c1a0e-6fc7-4767-930e-32a2229043e3 · outbound

This paper cites Parkour in the wild: Learning a general and extensible agile locomotion policy using multi-expert distillation and rl fine-tuning.

RSL-RL: A Learning Library for Robotics Research Parkour in the wild: Learning a general and extensible agile locomotion policy using multi-expert distillation and rl fine-tuning

Reference 31

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source=arxiv_source observed=2026-08-04T17:38:47.885876Z digest=sha256:5e5be1b9494c1bf40a15393de32a752e5d5e277a3df53f520a1098a6d070a29f

Observation bcb68454-8b23-4ee7-bd81-6888e6f3cddb · outbound

This paper cites Proximal policy optimization algorithms.

RSL-RL: A Learning Library for Robotics Research Proximal policy optimization algorithms

Reference 32

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source=arxiv_source observed=2026-08-04T17:38:48.013524Z digest=sha256:272e0309cbbcfdb4e6b960a1b68c32d4a9f73d1e7f0835c57dd2f00d61d4e7f9

Observation 11297233-61fb-4281-b316-48dc7bb0cc05 · outbound

This paper cites Curiosity-driven learning of joint locomotion and manipulation tasks.

RSL-RL: A Learning Library for Robotics Research Curiosity-driven learning of joint locomotion and manipulation tasks

Reference 33

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source=arxiv_source observed=2026-08-04T17:38:48.124110Z digest=sha256:988962e242f025359d2ed97455f97c19625111d4d75475442109586786db1b0e

Observation c2c75671-3565-475d-ab3b-c96e20d2040b · outbound

This paper cites skrl: Modular and flexible library for reinforcement learning.

RSL-RL: A Learning Library for Robotics Research skrl: Modular and flexible library for reinforcement learning

Reference 34

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source=arxiv_source observed=2026-08-04T17:38:48.266182Z digest=sha256:51ecb1d71b403a5e6486f109f7aca25cfe68b580a10588b49dd91f379e02eb81

Observation d0c3f685-72be-4e19-8a74-354a94f6858e · outbound

This paper cites Reinforcement learning algorithms: A brief survey.

RSL-RL: A Learning Library for Robotics Research Reinforcement learning algorithms: A brief survey

Reference 35

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source=arxiv_source observed=2026-08-04T17:38:48.372949Z digest=sha256:efa1bd1f61be8f28ebfc9da14e8d75c18b5c360f692c6ac8a0d47f64173ccf98

Observation bde32c1a-0d8e-4429-ae85-c1f09e9cf532 · outbound

This paper cites Guided reinforcement learning for robust multi-contact loco-manipulation.

RSL-RL: A Learning Library for Robotics Research Guided reinforcement learning for robust multi-contact loco-manipulation

Reference 36

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source=arxiv_source observed=2026-08-04T17:38:48.530763Z digest=sha256:2d9461becdac3cc8b3f3f3ad1b79891a51b6a58f65da31ac42c7c14f1f19e8cd

Observation ed32b555-96ae-4fd8-9598-d3c8e767157f · outbound

This paper cites Gymnasium: A Standard Interface for Reinforcement Learning Environments.

RSL-RL: A Learning Library for Robotics Research Gymnasium: A Standard Interface for Reinforcement Learning Environments

Reference 37

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source=arxiv_source observed=2026-08-04T17:38:48.677916Z digest=sha256:83ec281aa4de052059ef5b6ead1c3d7a5b014c83e145135b4ec21fffb06c6569

Observation 735fed6e-cc75-4330-b794-f5ad8601ee17 · outbound

This paper cites Advanced Skills through Multiple Adversarial Motion Priors in Reinforcement Learning.

RSL-RL: A Learning Library for Robotics Research Advanced Skills through Multiple Adversarial Motion Priors in Reinforcement Learning

Reference 38

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source=arxiv_source observed=2026-08-04T17:38:48.783261Z digest=sha256:feb0970bb044d6f3fbd0e98de3b2b20147b6444675c3e3b06a227cfdbbbe16aa

Observation d4364306-456f-4aea-8d9d-80679aa261e8 · outbound

This paper cites Spatially-Enhanced Recurrent Memory for Long-Range Mapless Navigation via End-to-End Reinforcement Learning.

RSL-RL: A Learning Library for Robotics Research Spatially-Enhanced Recurrent Memory for Long-Range Mapless Navigation via End-to-End Reinforcement Learning

Reference 39

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unresolved
no resolver link, observed 2026-08-04T17:38:48.852715Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T17:38:48.852715Z digest=sha256:51a892f160eb8a9577c420db92cb626f7987409d4cbaadbe934c0bb4be95f25e

Observation 07ce98bc-c8b7-4293-b843-600a34059ce7 · outbound

This paper cites Mujoco playground.

RSL-RL: A Learning Library for Robotics Research Mujoco playground

Reference 40

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unresolved
no resolver link, observed 2026-08-04T17:38:48.958810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T17:38:48.958810Z digest=sha256:1580420121c7dd8220522506651f8aea3040f301943721734f9a6f24d1dc9776

Observation d634a121-a55b-4f16-9787-6560895ee271 · outbound

This paper cites Learning agile locomotion on risky terrains.

RSL-RL: A Learning Library for Robotics Research Learning agile locomotion on risky terrains

Reference 41

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no resolver link, observed 2026-08-04T17:38:49.074807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T17:38:49.074807Z digest=sha256:8445e081c9ca2236b9a8184bdd67d5b69d1a803febd449040dcd75f2f22963a5

Observation 6728c86b-8e61-4089-9923-eb4ce094462b · outbound

This paper cites WoCoCo: Learning Whole-Body Humanoid Control with Sequential Contacts.

RSL-RL: A Learning Library for Robotics Research WoCoCo: Learning Whole-Body Humanoid Control with Sequential Contacts

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-04T17:38:49.183232Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T17:38:49.183232Z digest=sha256:f9e65b571560f8d33e5b3435475da1e05616d265d816eae963a7d590512cdd6b

Observation 369daf1f-519e-46e2-968d-d24922a62b65 · outbound

This paper cites Penalized Proximal Policy Optimization for Safe Reinforcement Learning.

RSL-RL: A Learning Library for Robotics Research Penalized Proximal Policy Optimization for Safe Reinforcement Learning

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-04T17:38:49.293219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T17:38:49.293219Z digest=sha256:e10ec396c95d688108838e35f56c6b7db9c2ddb5d20dfff13d6be0e32404aa9d

Pith citing papers

Observation f5578e8b-4e33-4e1a-8997-c08afc1f36da · inbound

RANDPOL: Parameter-Efficient End-to-End Quadruped Locomotion via Randomized Policy Learning cites this paper.

RANDPOL: Parameter-Efficient End-to-End Quadruped Locomotion via Randomized Policy Learning RSL-RL: A Learning Library for Robotics Research

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-19T13:52:19.873923Z

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.

source=pdf_text observed=2026-05-19T13:50:42.091642Z digest=sha256:27288937f3f7c4f4498c7636527663bcadd0a973769f5bce91d07d6b765413a9

Observation 2a6661cc-b6f7-4548-995b-a178c868a1a9 · inbound

End-to-End Crop Row Navigation via LiDAR-Based Deep Reinforcement Learning cites this paper.

End-to-End Crop Row Navigation via LiDAR-Based Deep Reinforcement Learning RSL-RL: A Learning Library for Robotics Research

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-04T15:45:50.039437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T15:45:50.039437Z digest=sha256:99e0b933a4b0bf590849ed864c9b72390697dd52ff12cb02e4c0170bf544dec8

Observation 22d664b8-f072-4b50-acea-3046f2fa3812 · inbound

Pretraining in Actor-Critic Reinforcement Learning for Locomotion cites this paper.

Pretraining in Actor-Critic Reinforcement Learning for Locomotion RSL-RL: A Learning Library for Robotics Research

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-04T10:03:32.299059Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T10:03:32.299059Z digest=sha256:e2cb613e7f92e83e95e74eb490a88076c49cbfbb4ba25e0a83dfd01d355d289b

Observation 60f9e8ea-6424-4121-a0fc-086492a58e47 · inbound

Isaac Lab: A GPU-Accelerated Simulation Framework for Multi-Modal Robot Learning cites this paper.

Isaac Lab: A GPU-Accelerated Simulation Framework for Multi-Modal Robot Learning RSL-RL: A Learning Library for Robotics Research

Reference 88

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T10:22:52.765435Z

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.

source=pdf_text observed=2026-05-11T10:22:52.472354Z digest=sha256:3ee5b784a820e7e587bcbb8b05eaa4db86a90d247dfd80353c2dd9909a348f0f

Observation a932eb6e-7b36-4a7b-a246-d4397e81e934 · inbound

SERNF: Sample-Efficient Real-World Dexterous Policy Fine-Tuning via Action-Chunked Critics and Normalizing Flows cites this paper.

SERNF: Sample-Efficient Real-World Dexterous Policy Fine-Tuning via Action-Chunked Critics and Normalizing Flows RSL-RL: A Learning Library for Robotics Research

Reference 46

Resolution
metadata mismatch
arxiv_id, observed 2026-05-16T03:37:13.834854Z

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.

source=pdf_text observed=2026-05-16T03:36:09.272019Z digest=sha256:22b9cb2b904523c7d08c83355cb7d4a15b0e7ebe55a87a6f2ac6ab8d71135773

Observation b216fdfb-4ac4-42a6-9bf3-d87a189c4e08 · inbound

SERNF: Sample-Efficient Real-World Dexterous Policy Fine-Tuning via Action-Chunked Critics and Normalizing Flows cites this paper.

SERNF: Sample-Efficient Real-World Dexterous Policy Fine-Tuning via Action-Chunked Critics and Normalizing Flows RSL-RL: A Learning Library for Robotics Research

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-03T02:55:50.711955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T02:55:50.711955Z digest=sha256:8b3d9773abd4a1f61ed5c1362a68fe10000380c80a58c12952e60cb0f8423dea

Observation 27bcb81e-2dfe-42bd-94b8-6a3975c01484 · inbound

FlashSAC: Fast and Stable Off-Policy Reinforcement Learning for High-Dimensional Robot Control cites this paper.

FlashSAC: Fast and Stable Off-Policy Reinforcement Learning for High-Dimensional Robot Control RSL-RL: A Learning Library for Robotics Research

Reference 73

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T22:15:49.843355Z

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.

source=pdf_text observed=2026-05-10T20:04:56.512544Z digest=sha256:ba807a3dcd3f4ab1c2c55ace57e140b0f24398795654a5aba8610627f39ac7ba

Observation 47dbf6f2-1b75-47e2-ae0c-151d798dadc6 · inbound

FlashSAC: Fast and Stable Off-Policy Reinforcement Learning for High-Dimensional Robot Control cites this paper.

FlashSAC: Fast and Stable Off-Policy Reinforcement Learning for High-Dimensional Robot Control RSL-RL: A Learning Library for Robotics Research

Reference 73

Resolution
metadata mismatch
arxiv_id, observed 2026-05-19T17:12:41.336343Z

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.

source=pdf_text observed=2026-05-19T17:08:31.770889Z digest=sha256:c6e4e2c92aecc99aa9c1616e3eaa6031a898aabeabc4f91757ed861a1bf784dc

Observation 25054616-d2d1-415d-9b19-f10f696d3595 · inbound

PriPG-RL: Privileged Planner-Guided Reinforcement Learning for Partially Observable Systems with Anytime-Feasible MPC cites this paper.

PriPG-RL: Privileged Planner-Guided Reinforcement Learning for Partially Observable Systems with Anytime-Feasible MPC RSL-RL: A Learning Library for Robotics Research

Reference 33

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T06:26:00.258272Z

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.

source=pdf_text observed=2026-05-10T17:38:14.002685Z digest=sha256:317471269d6ef0b9befdf053b43469305bb595b23b2d0172f7fea603fa83ca11

Observation 55d57a97-b826-489c-9cf4-5d44588ee711 · inbound

ViserDex: Visual Sim-to-Real for Robust Dexterous In-hand Reorientation cites this paper.

ViserDex: Visual Sim-to-Real for Robust Dexterous In-hand Reorientation RSL-RL: A Learning Library for Robotics Research

Reference 27

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T10:31:01.740070Z

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.

source=pdf_text observed=2026-05-10T15:27:22.684701Z digest=sha256:0d7a58b3f5c0243dfcd3a71afee880b5ddaef02ea6e046ab44eba0dd8ea27c67

Observation 31f58ba1-6054-4c23-be9c-2a794b606765 · inbound

Bounded Ratio Reinforcement Learning cites this paper.

Bounded Ratio Reinforcement Learning RSL-RL: A Learning Library for Robotics Research

Reference 25

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T11:35:19.081916Z

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.

source=pdf_text observed=2026-05-10T04:50:11.020901Z digest=sha256:c46e974cf7e26b157a83ca1c54dc416317c6bd024a42868676c040f3540167ec

Observation 997dfbd6-f0cd-4a44-95a7-39c7346174a3 · inbound

HALO: Hybrid Auto-encoded Locomotion with Learned Latent Dynamics, Poincar\'e Maps, and Regions of Attraction cites this paper.

HALO: Hybrid Auto-encoded Locomotion with Learned Latent Dynamics, Poincar\'e Maps, and Regions of Attraction RSL-RL: A Learning Library for Robotics Research

Reference 21

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T12:21:05.750172Z

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.

source=arxiv_source observed=2026-05-10T03:48:23.076362Z digest=sha256:15b5d2fb824f489b2d75c30154675bb0695478b5dc30610b6cf48be1ccfe062d

Observation 71c46e55-da28-4f35-82bc-95c03fc2793d · inbound

Betting for Sim-to-Real Performance Evaluation cites this paper.

Betting for Sim-to-Real Performance Evaluation RSL-RL: A Learning Library for Robotics Research

Reference 69

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T22:16:37.189388Z

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.

source=pdf_text observed=2026-05-08T03:06:00.096162Z digest=sha256:3151a8a0617ab4586291e923c6c4767a153009401eeb869ad7f9956a0fb2277f

Observation a7e1ba5e-4f5b-47de-b2e4-7223fa8a1b43 · inbound

The Unified Autonomy Stack: Toward a Blueprint for Generalizable Robot Autonomy cites this paper.

The Unified Autonomy Stack: Toward a Blueprint for Generalizable Robot Autonomy RSL-RL: A Learning Library for Robotics Research

Reference 235

Resolution
metadata mismatch
arxiv_id, observed 2026-05-14T19:42:53.464912Z

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.

source=arxiv_source observed=2026-05-14T19:42:39.831386Z digest=sha256:57f7e19be1fd327a6099fd8d38b3992a02bb477233040a89dd8209bb8e9e89a0

Observation a2cd8c5b-3017-4412-a8ee-eba16d0114c7 · inbound

Terrain Consistent Reference-Guided RL for Humanoid Navigation Autonomy cites this paper.

Terrain Consistent Reference-Guided RL for Humanoid Navigation Autonomy RSL-RL: A Learning Library for Robotics Research

Reference 32

Resolution
metadata mismatch
arxiv_id, observed 2026-05-19T15:23:07.704262Z

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.

source=pdf_text observed=2026-05-19T15:22:38.188537Z digest=sha256:c6f987b4a1953427f1be01717878e76265cbc8e9d6afb09b6e1bf4d32aee5339

Observation 8203f553-c57c-4d3b-8a67-f4613ad0d8c7 · inbound

Robotic Strawberry Harvesting with Robust Vision and Deep Reinforcement Learning based Sim-to-Real Control cites this paper.

Robotic Strawberry Harvesting with Robust Vision and Deep Reinforcement Learning based Sim-to-Real Control RSL-RL: A Learning Library for Robotics Research

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-05-25T03:50:19.447839Z

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.

source=pdf_text observed=2026-05-25T03:48:21.595326Z digest=sha256:2260657f0df9a67dabb9db568cc1b10d50c65145f3ea7579cb281bc3e3a2435c

Observation f3b136ab-a76c-4889-8cc7-dc5a4538f607 · inbound

Bridging the Gap: Enabling Soft Actor Critic for High Performance Legged Locomotion cites this paper.

Bridging the Gap: Enabling Soft Actor Critic for High Performance Legged Locomotion RSL-RL: A Learning Library for Robotics Research

Reference 9

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T16:05:49.722217Z

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.

source=pdf_text observed=2026-06-30T00:54:12.099045Z digest=sha256:f8dbf6e402b33f71fdfc6caca948bdc42d37727e2f4db5a203258e0394d4a868

Observation 49368f56-8c82-4784-968a-869b50dc1ae9 · inbound

Efficient On-policy Visual-RL via Stochastic Decoupled Policy Gradient cites this paper.

Efficient On-policy Visual-RL via Stochastic Decoupled Policy Gradient RSL-RL: A Learning Library for Robotics Research

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-06-29T18:03:48.637192Z

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.

source=pdf_text observed=2026-06-29T17:34:41.053725Z digest=sha256:61b65c87f4887ea3ecddb731154e67bcf83c6800aeb0c65aba7500f21ee4f2c4

Observation 51afcd1d-9abd-4ee5-b06f-83d5b90fe003 · inbound

S-Cheetah: A Novel Quadrupedal Robot with a 3-DOF Active Spine Learning Agile Locomotion cites this paper.

S-Cheetah: A Novel Quadrupedal Robot with a 3-DOF Active Spine Learning Agile Locomotion RSL-RL: A Learning Library for Robotics Research

Reference 22

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T12:23:24.516196Z

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.

source=pdf_text observed=2026-06-29T12:15:34.353976Z digest=sha256:10a0cfa6b276292df3aced5d4d212aa0d90f3b5b674386057a85fed97ce2500e

Observation fa4ca173-b351-4b3d-b40f-77c3f4dcb686 · inbound

Beyond Binary: Sim-to-Real Dexterous Manipulation with Physics-Grounded Contact Representation cites this paper.

Beyond Binary: Sim-to-Real Dexterous Manipulation with Physics-Grounded Contact Representation RSL-RL: A Learning Library for Robotics Research

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-06-29T11:33:22.681061Z

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.

source=pdf_text observed=2026-06-29T11:30:12.878240Z digest=sha256:0de6115d7ed532d5669c63190d06071bf1fb860749872296253f32a3d722c689

Observation e66899bd-dabd-4ed2-8bbe-6b1df59904c0 · inbound

HORIZON: Recoverability-Governed Curriculum for Physical-Domain Scaling cites this paper.

HORIZON: Recoverability-Governed Curriculum for Physical-Domain Scaling RSL-RL: A Learning Library for Robotics Research

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-07-02T08:46:48.885844Z

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.

source=pdf_text observed=2026-06-28T05:48:14.933538Z digest=sha256:72499ce2eba05aba0d37019b37533bc0bf48ee10f41ef9cd04caba4c925da1a8

Observation 46dff797-962f-474e-96ca-2ada836eef3b · inbound

TAGA: Terrain-aware Active Gaze Learning for Generalizable Agile Humanoid Locomotion cites this paper.

TAGA: Terrain-aware Active Gaze Learning for Generalizable Agile Humanoid Locomotion RSL-RL: A Learning Library for Robotics Research

Reference 46

Resolution
verified exact
arxiv_id, observed 2026-07-02T13:26:59.116429Z

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.

source=pdf_text observed=2026-06-28T01:19:16.753735Z digest=sha256:7c0490a1fb492b21d02963fbba1f045475073caf79405446e97832f467c2c67f

Observation 67e2c530-30d5-42ec-bff9-1143c5ecd1e1 · inbound

HANDOFF: Humanoid Agentic Task-Space Whole-Body Control via Distilled Complementary Teachers cites this paper.

HANDOFF: Humanoid Agentic Task-Space Whole-Body Control via Distilled Complementary Teachers RSL-RL: A Learning Library for Robotics Research

Reference 50

Resolution
verified exact
arxiv_id, observed 2026-07-02T13:36:59.134539Z

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.

source=pdf_text observed=2026-06-28T01:11:22.341714Z digest=sha256:99af8dc977e8bb6b95530e559ab1e72b00904be1c34526164d2bc795fe59cdc6

Observation 58957d9f-4ac4-4a22-af9a-a7d284b4b3c9 · inbound

MARCH: Model-Assisted Reinforcement Learning for the Perceptive Control of Humanoids over Sparse Footholds cites this paper.

MARCH: Model-Assisted Reinforcement Learning for the Perceptive Control of Humanoids over Sparse Footholds RSL-RL: A Learning Library for Robotics Research

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-07-03T05:07:38.557244Z

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.

source=pdf_text observed=2026-06-27T13:28:36.443684Z digest=sha256:8d970f2670b02b145121ccb9284444ce7921d662b319df892293b8f2ac476683

Observation 451f5be9-17c8-434e-b2e5-13bb6e2e4cc9 · inbound

EgoEngine: From Egocentric Human Videos to High-Fidelity Dexterous Robot Demonstrations cites this paper.

EgoEngine: From Egocentric Human Videos to High-Fidelity Dexterous Robot Demonstrations RSL-RL: A Learning Library for Robotics Research

Reference 52

Resolution
verified exact
arxiv_id, observed 2026-07-03T11:38:05.087525Z

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.

source=pdf_text observed=2026-06-27T09:27:43.453005Z digest=sha256:d8668bf63a2878294550d1bbedd663c21dec3902c490473ed5d9ccfcaa3193e2

Observation bb7fd42c-2017-42f3-a73d-f17663003fdd · inbound

Redesigning Regularization for Effective Policy Smoothing cites this paper.

Redesigning Regularization for Effective Policy Smoothing RSL-RL: A Learning Library for Robotics Research

Reference 37

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T14:38:29.150802Z

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.

source=pdf_text observed=2026-06-27T06:59:15.421795Z digest=sha256:4643429febd8eac2bd1474e547d26868741de135b7cf2aa040c0caaa3cdeddf7

Observation 014b3766-373c-45a6-a690-bed1c176a76f · inbound

CTS-MoE: Implicit Terrain Adaptation via Mixture-of-Experts for Perceptive Locomotion cites this paper.

CTS-MoE: Implicit Terrain Adaptation via Mixture-of-Experts for Perceptive Locomotion RSL-RL: A Learning Library for Robotics Research

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-07-04T01:29:22.507612Z

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.

source=pdf_text observed=2026-06-26T20:21:02.275457Z digest=sha256:9625ef014f783b3ac208fe0fdf3d2729e75d18feaf5fe32788a0a2aad1163fbb

Observation 3773202b-5868-4192-ab99-f83978048da0 · inbound

Rotation-Aware Point-Cloud Embeddings for Vision-Based In-Hand Reorientation cites this paper.

Rotation-Aware Point-Cloud Embeddings for Vision-Based In-Hand Reorientation RSL-RL: A Learning Library for Robotics Research

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-07-04T06:59:38.342883Z

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.

source=pdf_text observed=2026-06-26T13:54:05.409504Z digest=sha256:2ad4ff592f54f496f1eb58d9c63fb4bc4ce2e25d5396c87a9eb0dd27230f7cfb

Observation 4eac1dcd-a468-4758-827e-ebf5f5baa4c3 · inbound

MAPL: Multi-Objective Preference Learning for Robot Locomotion cites this paper.

MAPL: Multi-Objective Preference Learning for Robot Locomotion RSL-RL: A Learning Library for Robotics Research

Reference 33

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T19:40:06.224115Z

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.

source=pdf_text observed=2026-06-25T21:11:00.753949Z digest=sha256:13c200fe3784a644112f42623869adabcb00edd7c509583adecb604760d8f9d0

Observation b33d0ae4-9b6a-4036-a867-60e1149ae472 · inbound

PPO-EAL: Exact Augmented Lagrangian Proximal Policy Optimization for Safe Robotic Control cites this paper.

PPO-EAL: Exact Augmented Lagrangian Proximal Policy Optimization for Safe Robotic Control RSL-RL: A Learning Library for Robotics Research

Reference 36

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T19:13:53.375760Z

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.

source=pdf_text observed=2026-06-29T04:49:22.328169Z digest=sha256:c0ac9c79e0473d7dc6211d0186f5171a2a683cfdac3f8426a2f653cc0e37ae2d

Observation e56f1b43-153e-427e-bf97-c940cb3540b8 · inbound

Learning Locomotion on Discrete Terrain via Minimal Proximity Sensing cites this paper.

Learning Locomotion on Discrete Terrain via Minimal Proximity Sensing RSL-RL: A Learning Library for Robotics Research

Reference 34

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T10:55:42.170846Z

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.

source=pdf_text observed=2026-07-01T04:54:58.487286Z digest=sha256:18df69f41f955cbd20d89879b348609109a8b221f6c046e72d6da5f20cecaec9

Observation 926fae87-865b-48d5-adac-c988bdc332a8 · inbound

Learning Locomotion on Discrete Terrain via Minimal Proximity Sensing cites this paper.

Learning Locomotion on Discrete Terrain via Minimal Proximity Sensing RSL-RL: A Learning Library for Robotics Research

Reference 34

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T22:08:58.726136Z

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.

source=pdf_text observed=2026-07-03T21:58:56.771899Z digest=sha256:87a34fd58a817ee2bd91b0a9b0bab4d01e3f95e3671ccfe0e530b8765b80156a

Observation 6ac1238b-15b8-4bcf-96fe-bbfe2984f4d1 · inbound

WaveLander: A Generalizable Hierarchical Control Framework for UAV Landing on Wave-Disturbed Platforms via Reinforcement Learning cites this paper.

WaveLander: A Generalizable Hierarchical Control Framework for UAV Landing on Wave-Disturbed Platforms via Reinforcement Learning RSL-RL: A Learning Library for Robotics Research

Reference 18

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T20:48:55.426236Z

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.

source=pdf_text observed=2026-07-03T20:40:48.256192Z digest=sha256:812f2a7c42fe34eea27502ef0af94835e3050c877b4b4e26cc74841b4ee4949a

Observation b1c1fadc-b6de-4b23-99f3-6f9bcbea8811 · inbound

Cross-Embodiment Robot Manipulation via a Unified Hand Action Space cites this paper.

Cross-Embodiment Robot Manipulation via a Unified Hand Action Space RSL-RL: A Learning Library for Robotics Research

Reference 20

Resolution
unresolved
no resolver link, observed 2026-07-12T01:30:09.928609Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T01:30:09.928609Z digest=sha256:5f34f89afb84a7d4d913f7c159ab3c5fc94f50526bd5c9a4b12b25d807d7349f

Observation 5c7fc0f9-1eac-4354-a17e-e4489d239924 · inbound

Sling2Sim2Real: One-Shot Elastic System Identification for Non-Destructive Slingshot Policy Learning cites this paper.

Sling2Sim2Real: One-Shot Elastic System Identification for Non-Destructive Slingshot Policy Learning RSL-RL: A Learning Library for Robotics Research

Reference 27

Resolution
unresolved
no resolver link, observed 2026-07-31T23:58:10.642081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:58:10.642081Z digest=sha256:e4ac328af52718b829d24b4ad37d65deafa1edeb8e8a8151222682890a4fecea

Observation 87d040ba-6008-4995-9794-933da99b46fa · inbound

Learning Adaptive Multi-Task Guidance, Navigation, and Control via Hypernetworks cites this paper.

Learning Adaptive Multi-Task Guidance, Navigation, and Control via Hypernetworks RSL-RL: A Learning Library for Robotics Research

Reference 41

Resolution
unresolved
no resolver link, observed 2026-07-31T19:04:34.661550Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T19:04:34.661550Z digest=sha256:87b693994ec38c16efe6a7818a2bcffeb769a762d5395c3aa8b3498662dbc4b1

Observation f528a161-7649-4ee5-bac8-828e1bbc3f6c · inbound

PAC-MAN: Perception-Aware CBF-RL for Whole-Body Safety in Humanoid Dodgeball cites this paper.

PAC-MAN: Perception-Aware CBF-RL for Whole-Body Safety in Humanoid Dodgeball RSL-RL: A Learning Library for Robotics Research

Reference 36

Resolution
unresolved
no resolver link, observed 2026-07-31T01:53:50.422624Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T01:53:50.422624Z digest=sha256:c87bc431ddebc34c9003f95bbe4621516f3e54094fe8a0c6bf870a109e256a1f

Observation daf7ca54-f5f5-42fa-90ae-bdd036cdcc2b · inbound

Open-DiffLoco: Open-Source Differentiable Learning for Deployable Blind Quadruped Locomotion cites this paper.

Open-DiffLoco: Open-Source Differentiable Learning for Deployable Blind Quadruped Locomotion RSL-RL: A Learning Library for Robotics Research

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-04T15:52:55.580702Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T15:52:55.580702Z digest=sha256:c10f7c3f6ccdab29d51efcabbfe87aa73aa858e154f739ed33870d290cfa43e4