Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
RLIF: Interactive Imitation Learning as Reinforcement Learning
As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2311.12996.
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 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T05:02:05.537109Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T05:07:39.015572Z
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 def155a1-58d8-4cc1-a4ae-2efc3e6dcaa0 · inbound
Robot-Gated Interactive Imitation Learning with Adaptive Intervention Mechanism cites this paper.
Robot-Gated Interactive Imitation Learning with Adaptive Intervention Mechanism RLIF: Interactive Imitation Learning as Reinforcement Learning
Reference 2019
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:02:05.537109Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2537b7f8-1633-40bb-aaa4-219f9d890eee · inbound
TwinRL: Digital Twin-Driven Reinforcement Learning for Real-World Robotic Manipulation cites this paper.
TwinRL: Digital Twin-Driven Reinforcement Learning for Real-World Robotic Manipulation RLIF: Interactive Imitation Learning as Reinforcement Learning
Reference 40
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T13:14:10.800157Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation aef42182-fdab-45c3-b5fd-ef474a4a7082 · inbound
AllDayNav: Lifelong Navigation via Real-World Reinforcement Learning cites this paper.
AllDayNav: Lifelong Navigation via Real-World Reinforcement Learning RLIF: Interactive Imitation Learning as Reinforcement Learning
Reference 61
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T05:07:39.016955Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.