Paper Citation Record · LEDGER

Learning to Explore in Motion and Interaction Tasks

As of 15 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:1908.03731.

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

pith.paper-citation-record.v1
1908.03731 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T14:09:48.234525Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

21 of 21 outbound references displayed

verified exact1
verified fuzzy5
unresolved15
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation aec774ad-f1d2-4670-ad1f-c6a97b4bdb26 · outbound

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

Learning to Explore in Motion and Interaction Tasks Learning agile and dynamic motor skills for legged robots,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-14T14:09:48.089790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ccbc2481-b431-4fa5-9833-7d82bedfaaac · outbound

This paper cites Control policy with autocorrelated noise in reinforce- ment learning for robotics,.

Learning to Explore in Motion and Interaction Tasks Control policy with autocorrelated noise in reinforce- ment learning for robotics,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:09:49.059163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation aa12f0c4-6bb8-40f5-a2be-1c98e1ff98e7 · outbound

This paper cites On the theory of the brownian motion,.

Learning to Explore in Motion and Interaction Tasks On the theory of the brownian motion,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-14T14:09:48.102370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 361dba91-4bb8-42fb-b6a3-7c03394e203b · outbound

This paper cites Continuous control with deep reinforcement learning.

Learning to Explore in Motion and Interaction Tasks Continuous control with deep reinforcement learning

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-14T14:09:48.109408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9cfe1b93-4855-4d3b-ad86-3898b9d37e77 · outbound

This paper cites Parameter Space Noise for Exploration.

Learning to Explore in Motion and Interaction Tasks Parameter Space Noise for Exploration

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-14T14:09:48.115876Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d0daaf7-f1ff-4b8c-bf3e-70021507c8c2 · outbound

This paper cites Intrinsically motivated learning of hierarchical collec- tions of skills,.

Learning to Explore in Motion and Interaction Tasks Intrinsically motivated learning of hierarchical collec- tions of skills,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:09:48.962663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5b329568-4d02-4138-8639-44a256133d50 · outbound

This paper cites Curiosity Driven Exploration of Learned Disentangled Goal Spaces.

Learning to Explore in Motion and Interaction Tasks Curiosity Driven Exploration of Learned Disentangled Goal Spaces

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-14T14:09:48.128971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6173d78-581d-4cd4-ae32-f45d659c805a · outbound

This paper cites Curiosity-Driven Exploration by Self-Supervised Prediction,.

Learning to Explore in Motion and Interaction Tasks Curiosity-Driven Exploration by Self-Supervised Prediction,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:09:48.868708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2d655ec1-5006-41a3-b5cb-5c1f1bbebb95 · outbound

This paper cites Distral: Robust Multitask Reinforcement Learning.

Learning to Explore in Motion and Interaction Tasks Distral: Robust Multitask Reinforcement Learning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-14T14:09:48.139755Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0eef75f-bc94-4b84-a962-46fa1321384e · outbound

This paper cites Learning and Transfer of Modulated Locomotor Controllers.

Learning to Explore in Motion and Interaction Tasks Learning and Transfer of Modulated Locomotor Controllers

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-14T14:09:48.145640Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d5967b7-b026-4170-b923-8a5e02b2f11d · outbound

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

Learning to Explore in Motion and Interaction Tasks Learning by Playing - Solving Sparse Reward Tasks from Scratch

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-14T14:09:48.151898Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 817f538d-3f34-4bf8-942f-48bccf1c7d74 · outbound

This paper cites Dynamic movement primitives-a framework for motor control in humans and humanoid robotics,.

Learning to Explore in Motion and Interaction Tasks Dynamic movement primitives-a framework for motor control in humans and humanoid robotics,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-14T14:09:48.159765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c6d48416-552e-4505-a902-2b94d166fa71 · outbound

This paper cites Dynamical movement primitives: learning attractor models for motor behaviors,.

Learning to Explore in Motion and Interaction Tasks Dynamical movement primitives: learning attractor models for motor behaviors,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-14T14:09:48.164883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df4c8837-6f04-4fc9-9d75-31873d66e698 · outbound

This paper cites Long short-term memory,.

Learning to Explore in Motion and Interaction Tasks Long short-term memory,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-14T14:09:48.171347Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5b94969-d911-48bf-bdd3-db93190fa2f8 · outbound

This paper cites Contact-Invariant Opti- mization for Hand Manipulation,.

Learning to Explore in Motion and Interaction Tasks Contact-Invariant Opti- mization for Hand Manipulation,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:09:48.742800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ef3cbebb-2a5e-465f-8a30-8d1f356d829b · outbound

This paper cites On Time Optimization of Centroidal Momentum Dynamics.

Learning to Explore in Motion and Interaction Tasks On Time Optimization of Centroidal Momentum Dynamics

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-08-14T14:09:48.413605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1babd8d1-e38b-4a5c-a115-9cfc69df2d90 · outbound

This paper cites Robot program- ming by demonstration,.

Learning to Explore in Motion and Interaction Tasks Robot program- ming by demonstration,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-14T14:09:48.187921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f98a0b4a-0bc1-4941-b7e6-4da40396b0ff · outbound

This paper cites Generating Sequences With Recurrent Neural Networks.

Learning to Explore in Motion and Interaction Tasks Generating Sequences With Recurrent Neural Networks

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-14T14:09:48.194139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69afdd9c-62b5-4399-8e7c-1e51cffab150 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Learning to Explore in Motion and Interaction Tasks Proximal Policy Optimization Algorithms

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-14T14:09:48.203224Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02e7ae39-a459-4c50-a7a1-e9ba3b904322 · outbound

This paper cites Openai baselines,.

Learning to Explore in Motion and Interaction Tasks Openai baselines,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:09:48.642004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 61004ed7-1079-4302-87b0-c13f14c8a04c · outbound

This paper cites How Many Random Seeds? Statistical Power Analysis in Deep Reinforcement Learning Experiments.

Learning to Explore in Motion and Interaction Tasks How Many Random Seeds? Statistical Power Analysis in Deep Reinforcement Learning Experiments

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-14T14:09:48.234525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.