Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Mitigating Covariate Shift in Imitation Learning via Offline Data Without Great Coverage
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2106.03207.
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 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T23:01:04.784230Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T12:06:55.402839Z
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 d1430f1a-554f-4981-8768-5fe5da62a566 · inbound
Beyond-Expert Performance with Limited Demonstrations: Efficient Imitation Learning with Double Exploration cites this paper.
Beyond-Expert Performance with Limited Demonstrations: Efficient Imitation Learning with Double Exploration Mitigating Covariate Shift in Imitation Learning via Offline Data Without Great Coverage
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:01:04.784230Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4cac9509-6581-4711-aaf3-e7384073860f · inbound
OGPO: Sample Efficient Full-Finetuning of Generative Control Policies cites this paper.
OGPO: Sample Efficient Full-Finetuning of Generative Control Policies Mitigating Covariate Shift in Imitation Learning via Offline Data Without Great Coverage
Reference 33
- Resolution
- verified exact
- arxiv_id, observed 2026-05-09T06:10:42.638461Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation de441bc2-59bf-4aee-a260-48426b8d012b · inbound
Double Preconditioning (DoPr): Optimization for Test-Time Performance, not Validation Loss cites this paper.
Double Preconditioning (DoPr): Optimization for Test-Time Performance, not Validation Loss Mitigating Covariate Shift in Imitation Learning via Offline Data Without Great Coverage
Reference 41
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T12:06:55.404280Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.