Paper Citation Record · LEDGER

Learning to combine primitive skills: A step towards versatile robotic manipulation

As of 18 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 1 inbound Pith citation observation for arXiv:1908.00722.

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

pith.paper-citation-record.v1
1908.00722 v3

Coverage vector

measured 53 of 53 reference resolution

Typed states for the displayed outbound observations.

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measured 54 of 54 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T10:11:03.783531Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-09T10:11:04.142416Z

Reference resolution

53 of 53 outbound references displayed

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External citation measurements

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Outbound references

Observation 751f9f6a-eaef-4d2b-983f-ff9b41de6d45 · outbound

This paper cites Combined task and motion planning through an extensible planner- independent interface layer,.

Learning to combine primitive skills: A step towards versatile robotic manipulation Combined task and motion planning through an extensible planner- independent interface layer,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:38:17.856965Z

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Observation 0e1765a8-4eb9-49ad-ad98-1f1c5e0a7bcc · outbound

This paper cites A constraint-based method for solving sequential manipulation planning problems,.

Learning to combine primitive skills: A step towards versatile robotic manipulation A constraint-based method for solving sequential manipulation planning problems,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:38:17.839553Z

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Observation 57b7df7f-d40c-4d45-b6f9-d2cb30736a1a · outbound

This paper cites Logic-geometric programming: An optimization-based approach to combined task and motion planning,.

Learning to combine primitive skills: A step towards versatile robotic manipulation Logic-geometric programming: An optimization-based approach to combined task and motion planning,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:38:17.821865Z

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Observation 4155f55e-2345-4fe6-93d5-44460a173e24 · outbound

This paper cites Alvinn: An autonomous land vehicle in a neural network,.

Learning to combine primitive skills: A step towards versatile robotic manipulation Alvinn: An autonomous land vehicle in a neural network,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:38:17.803445Z

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Observation 5c3bce5b-e728-4379-89ab-23bcc64b96d8 · outbound

This paper cites Reinforcement and Imitation Learning via Interactive No-Regret Learning.

Learning to combine primitive skills: A step towards versatile robotic manipulation Reinforcement and Imitation Learning via Interactive No-Regret Learning

Reference 6

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Observation 08222814-400e-4d14-865a-149c7225a4d3 · outbound

This paper cites Asymmetric Actor Critic for Image-Based Robot Learning,.

Learning to combine primitive skills: A step towards versatile robotic manipulation Asymmetric Actor Critic for Image-Based Robot Learning,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:38:17.786128Z

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Observation 6bbecfac-feb5-4a76-b2ef-8a0f20af81ed · outbound

This paper cites Algorithms for inverse reinforcement learning,.

Learning to combine primitive skills: A step towards versatile robotic manipulation Algorithms for inverse reinforcement learning,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:38:17.767570Z

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Observation e84e7f94-6cee-4869-8f3e-ee3182e70c86 · outbound

This paper cites Human-level control through deep reinforcement learning,.

Learning to combine primitive skills: A step towards versatile robotic manipulation Human-level control through deep reinforcement learning,

Reference 9

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Observation c71b9abc-03dd-4891-9a06-047b7911eac4 · outbound

This paper cites Mastering the game of Go with deep neural networks and tree search,.

Learning to combine primitive skills: A step towards versatile robotic manipulation Mastering the game of Go with deep neural networks and tree search,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:38:17.750106Z

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Observation c9837a4b-1e39-4a42-9748-58f9d3c7e8df · outbound

This paper cites Neural modular control for embodied question answering,.

Learning to combine primitive skills: A step towards versatile robotic manipulation Neural modular control for embodied question answering,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:38:17.733334Z

Source-reported events for the cited work

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Observation 7df1bf32-6e34-4341-82b2-c8b02c6e559a · outbound

This paper cites Hierarchical imitation and reinforcement learning,.

Learning to combine primitive skills: A step towards versatile robotic manipulation Hierarchical imitation and reinforcement learning,

Reference 12

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Observation 9c659eeb-2abe-4554-85de-1f0e2c20af76 · outbound

This paper cites Multi-Goal Reinforcement Learning: Challenging Robotics Environments and Request for Research.

Learning to combine primitive skills: A step towards versatile robotic manipulation Multi-Goal Reinforcement Learning: Challenging Robotics Environments and Request for Research

Reference 13

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Observation a1ccc5b4-cffb-4a8b-8bcb-4bc811be0062 · outbound

This paper cites Learning to augment synthetic images for sim2real policy transfer,.

Learning to combine primitive skills: A step towards versatile robotic manipulation Learning to augment synthetic images for sim2real policy transfer,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:38:17.691528Z

Source-reported events for the cited work

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Observation b79d49cc-a87d-44bc-a761-de1d70f366af · outbound

This paper cites Acquiring visual servoing reaching and grasping skills using neural reinforcement learning,.

Learning to combine primitive skills: A step towards versatile robotic manipulation Acquiring visual servoing reaching and grasping skills using neural reinforcement learning,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:38:17.673859Z

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Observation 64bef74e-5420-4512-9438-33fd6d36b60f · outbound

This paper cites Deep Reinforcement Learning for Robotic Manipulation with Asynchronous Off-Policy Updates.

Learning to combine primitive skills: A step towards versatile robotic manipulation Deep Reinforcement Learning for Robotic Manipulation with Asynchronous Off-Policy Updates

Reference 16

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Observation 6547d9e2-fa72-41af-9069-68999ea71314 · outbound

This paper cites End-to-End Training of Deep Visuomotor Policies.

Learning to combine primitive skills: A step towards versatile robotic manipulation End-to-End Training of Deep Visuomotor Policies

Reference 17

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Observation c9c31bfa-b858-415a-a142-c7bf0d782d4b · outbound

This paper cites Data-efficient Deep Reinforcement Learning for Dexterous Manipulation.

Learning to combine primitive skills: A step towards versatile robotic manipulation Data-efficient Deep Reinforcement Learning for Dexterous Manipulation

Reference 18

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Observation 1c489fa0-7d1d-41a1-a97f-daf46d5118e8 · outbound

This paper cites One-shot imitation learning,.

Learning to combine primitive skills: A step towards versatile robotic manipulation One-shot imitation learning,

Reference 19

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Observation f76f0488-491a-4be2-aa40-5ddb50e52c17 · outbound

This paper cites Learning by Playing - Solving Sparse Reward Tasks from Scratch.

Learning to combine primitive skills: A step towards versatile robotic manipulation Learning by Playing - Solving Sparse Reward Tasks from Scratch

Reference 20

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Observation 35be4231-d8e4-461d-be02-8a1bd5aa2527 · outbound

This paper cites Generative adversarial imitation learning,.

Learning to combine primitive skills: A step towards versatile robotic manipulation Generative adversarial imitation learning,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:38:17.635733Z

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Observation 4ca0cc1e-a992-4bd8-8629-3e583bad27c2 · outbound

This paper cites Learning Dexterous Manipulation Policies from Experience and Imitation.

Learning to combine primitive skills: A step towards versatile robotic manipulation Learning Dexterous Manipulation Policies from Experience and Imitation

Reference 22

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Observation 4f5073bd-ced2-48dc-a9b7-c5abb64bc2d8 · outbound

This paper cites DART: Noise injection for robust imitation learning,.

Learning to combine primitive skills: A step towards versatile robotic manipulation DART: Noise injection for robust imitation learning,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:38:17.612665Z

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Observation b00f1d78-ded6-4bbc-b5d5-c344ca3115ec · outbound

This paper cites Reinforcement learning in robotics: A survey,.

Learning to combine primitive skills: A step towards versatile robotic manipulation Reinforcement learning in robotics: A survey,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:38:17.591364Z

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Observation 95102a3a-3697-4b0a-93b0-c78e9d1cbafe · outbound

This paper cites Between mdps and semi- mdps: A framework for temporal abstraction in reinforcement learning,.

Learning to combine primitive skills: A step towards versatile robotic manipulation Between mdps and semi- mdps: A framework for temporal abstraction in reinforcement learning,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:38:17.573786Z

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Observation 6860ae68-c23d-433c-82de-f52a7c22b30c · outbound

This paper cites Feudal Reinforcement Learning,.

Learning to combine primitive skills: A step towards versatile robotic manipulation Feudal Reinforcement Learning,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:38:17.555749Z

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Observation 674ecf59-5247-4932-9243-b55518e8bf90 · outbound

This paper cites Meta Learning Shared Hierarchies.

Learning to combine primitive skills: A step towards versatile robotic manipulation Meta Learning Shared Hierarchies

Reference 27

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Observation bc71f73f-916f-490d-802a-34fd85be117d · outbound

This paper cites Com- posing complex skills by learning transition policies with proximity reward induction,.

Learning to combine primitive skills: A step towards versatile robotic manipulation Com- posing complex skills by learning transition policies with proximity reward induction,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:38:17.537860Z

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Observation 32cd2a2f-a859-46f5-a003-c7035dccb6c2 · outbound

This paper cites The option-critic architecture.

Learning to combine primitive skills: A step towards versatile robotic manipulation The option-critic architecture

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:38:17.517763Z

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Observation 7a21a159-90f2-425e-8576-d3caf0499c8c · outbound

This paper cites Stochastic Neural Networks for Hierarchical Reinforcement Learning.

Learning to combine primitive skills: A step towards versatile robotic manipulation Stochastic Neural Networks for Hierarchical Reinforcement Learning

Reference 30

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Observation 059aa380-5a3f-4b30-b4b0-e538d57839af · outbound

This paper cites Latent Space Policies for Hierarchical Reinforcement Learning.

Learning to combine primitive skills: A step towards versatile robotic manipulation Latent Space Policies for Hierarchical Reinforcement Learning

Reference 31

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Observation 3e7e35e0-b0b7-40dd-980e-5aadfd13c12e · outbound

This paper cites Data-Efficient Hierarchical Reinforcement Learning.

Learning to combine primitive skills: A step towards versatile robotic manipulation Data-Efficient Hierarchical Reinforcement Learning

Reference 32

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This paper cites FeUdal Networks for Hierarchical Reinforcement Learning.

Learning to combine primitive skills: A step towards versatile robotic manipulation FeUdal Networks for Hierarchical Reinforcement Learning

Reference 33

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Observation f07786e9-a771-41aa-b7bd-f86c5d938e36 · outbound

This paper cites Hierar- chical deep reinforcement learning: Integrating temporal abstraction and intrinsic motivation,.

Learning to combine primitive skills: A step towards versatile robotic manipulation Hierar- chical deep reinforcement learning: Integrating temporal abstraction and intrinsic motivation,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:38:17.500309Z

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Observation 13eeec87-1511-46ed-aef6-1191b476f3de · outbound

This paper cites Learning an embedding space for transferable robot skills,.

Learning to combine primitive skills: A step towards versatile robotic manipulation Learning an embedding space for transferable robot skills,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:38:17.484416Z

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Observation 2ea04662-38bb-4ada-9deb-0b1cc8a0eb32 · outbound

This paper cites Reinforcement learning from imperfect demonstrations,.

Learning to combine primitive skills: A step towards versatile robotic manipulation Reinforcement learning from imperfect demonstrations,

Reference 36

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Observation 163aa0b2-8665-4c1c-9694-9b0004230cae · outbound

This paper cites Fast policy learning through imitation and reinforcement,.

Learning to combine primitive skills: A step towards versatile robotic manipulation Fast policy learning through imitation and reinforcement,

Reference 37

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Observation 4d5d5355-32e4-4de4-b013-02982e231784 · outbound

This paper cites Truncated horizon policy search: Combining reinforcement learning & imitation learning,.

Learning to combine primitive skills: A step towards versatile robotic manipulation Truncated horizon policy search: Combining reinforcement learning & imitation learning,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:38:17.405502Z

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Observation b0e904e8-b3b7-420e-b688-ce6cd0f4f946 · outbound

This paper cites Deep Q-Learning from demonstrations,.

Learning to combine primitive skills: A step towards versatile robotic manipulation Deep Q-Learning from demonstrations,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:38:17.383835Z

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Observation 7aa4f866-bbd8-473d-a6e2-0b83a3e4fdea · outbound

This paper cites Overcoming exploration in reinforcement learning with demonstrations,.

Learning to combine primitive skills: A step towards versatile robotic manipulation Overcoming exploration in reinforcement learning with demonstrations,

Reference 40

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Observation 2d6edad7-ed64-40d4-9185-aa9dc77e94e7 · outbound

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

Learning to combine primitive skills: A step towards versatile robotic manipulation Reinforcement and Imitation Learning for Diverse Visuomotor Skills

Reference 41

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This paper cites Film: Visual reasoning with a general conditioning layer,.

Learning to combine primitive skills: A step towards versatile robotic manipulation Film: Visual reasoning with a general conditioning layer,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:38:17.363131Z

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Observation 99bacccc-381d-4e92-9ba2-ca90d72275e7 · outbound

This paper cites Adam: A method for stochastic optimization,.

Learning to combine primitive skills: A step towards versatile robotic manipulation Adam: A method for stochastic optimization,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:38:17.339235Z

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Observation 0d5a96fa-11a6-4249-a154-80994c0143c5 · outbound

This paper cites Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift.

Learning to combine primitive skills: A step towards versatile robotic manipulation Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

Reference 44

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Observation 0e89bc70-ca5c-4ffc-a6a0-ab01cac5d45b · outbound

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Learning to combine primitive skills: A step towards versatile robotic manipulation Proximal Policy Optimization Algorithms

Reference 45

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Learning to combine primitive skills: A step towards versatile robotic manipulation Pytorch implementations of reinforcement learning algorithms,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:38:17.318785Z

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Observation a7a2e8ad-d88a-489a-8b7a-6f0c1e921b2d · outbound

This paper cites PyBullet, Python module for physics simulation, robotics and machine learning,.

Learning to combine primitive skills: A step towards versatile robotic manipulation PyBullet, Python module for physics simulation, robotics and machine learning,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:38:17.293414Z

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Observation 5c78e5ce-bacd-43d6-825f-662a2ec79316 · outbound

This paper cites ShapeNet: An Information-Rich 3D Model Repository.

Learning to combine primitive skills: A step towards versatile robotic manipulation ShapeNet: An Information-Rich 3D Model Repository

Reference 48

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Observation ee44c66e-ab8b-499f-bf56-99e9c83d0246 · outbound

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

Learning to combine primitive skills: A step towards versatile robotic manipulation Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 49

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Observation b11fbaf5-2ecf-4151-a1d9-bb6399f5c1ae · outbound

This paper cites Deep Residual Learning for Image Recognition,.

Learning to combine primitive skills: A step towards versatile robotic manipulation Deep Residual Learning for Image Recognition,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:38:17.272550Z

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Observation 12628a80-57a1-4a70-945e-c02006a9d994 · outbound

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

Learning to combine primitive skills: A step towards versatile robotic manipulation MuJoCo: A physics engine for model-based control,

Reference 51

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Observation ae9848d5-3c7d-4179-9a4b-d6ab737fc191 · outbound

This paper cites Hindsight experience replay,.

Learning to combine primitive skills: A step towards versatile robotic manipulation Hindsight experience replay,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:38:17.252422Z

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Observation 579acd5b-b5ae-4601-b8a0-ba692f5862e3 · outbound

This paper cites Continuous control with deep reinforcement learning.

Learning to combine primitive skills: A step towards versatile robotic manipulation Continuous control with deep reinforcement learning

Reference 53

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This paper cites Available: https://openreview.net/forum?id=rk07ZXZRb 2.

Learning to combine primitive skills: A step towards versatile robotic manipulation Available: https://openreview.net/forum?id=rk07ZXZRb 2

Reference 2018

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:38:17.468207Z

Source-reported events for the cited work

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Pith citing papers

Observation 4cf4b352-7611-4fdd-bd7a-2b858e927b25 · inbound

UMC: Unified Resilient Controller for Legged Robots with Joint Malfunctions cites this paper.

UMC: Unified Resilient Controller for Legged Robots with Joint Malfunctions Learning to combine primitive skills: A step towards versatile robotic manipulation

Reference 27

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Source-reported events for the cited work

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