Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Making Efficient Use of Demonstrations to Solve Hard Exploration Problems
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1909.01387.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T05:37:46.360602Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-20T05:08:04.991115Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 88953db2-4e1a-4aa0-8f4b-bd80c719fd01 · inbound
Reinforcement Learning via Implicit Imitation Guidance cites this paper.
Reinforcement Learning via Implicit Imitation Guidance Making Efficient Use of Demonstrations to Solve Hard Exploration Problems
Reference 2022
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:37:46.360602Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4bd1a531-d67b-447e-a060-66c817c97fbe · inbound
Reinforcement Learning with Physics-Informed Symbolic Program Priors for Zero-Shot Wireless Indoor Navigation cites this paper.
Reinforcement Learning with Physics-Informed Symbolic Program Priors for Zero-Shot Wireless Indoor Navigation Making Efficient Use of Demonstrations to Solve Hard Exploration Problems
Reference 59
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T22:11:49.711607Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c5e88c17-0dcd-4e55-9b60-2334ff8030b1 · inbound
LLM-Enhanced Multi-Agent Reinforcement Learning with Expert Workflow for Real-Time P2P Energy Trading cites this paper.
LLM-Enhanced Multi-Agent Reinforcement Learning with Expert Workflow for Real-Time P2P Energy Trading Making Efficient Use of Demonstrations to Solve Hard Exploration Problems
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T04:12:59.553236Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation f5ca29ce-5881-4ccc-bb21-ecf56bad327d · inbound
Mixture of Autoencoder Experts Guidance using Unlabeled and Incomplete Data for Exploration in Reinforcement Learning cites this paper.
Mixture of Autoencoder Experts Guidance using Unlabeled and Incomplete Data for Exploration in Reinforcement Learning Making Efficient Use of Demonstrations to Solve Hard Exploration Problems
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T15:42:03.259833Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1b822f8a-aed5-430b-b232-849db3ac4ed5 · inbound
Implicit Action Chunking for Smooth Continuous Control cites this paper.
Implicit Action Chunking for Smooth Continuous Control Making Efficient Use of Demonstrations to Solve Hard Exploration Problems
Reference 33
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T05:08:04.994801Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.