Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Wasserstein Adversarial Imitation Learning
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1906.08113.
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 2026-08-07T11:35:43.331136Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T05:55:44.377975Z
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 e8621055-ef58-413d-ae81-b0ab53bc2114 · inbound
Constrained Sliced Wasserstein Embedding cites this paper.
Constrained Sliced Wasserstein Embedding Wasserstein Adversarial Imitation Learning
Reference 110
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:35:43.331136Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 95a653d2-c636-46e1-a1dc-60f029a4753d · inbound
Is Optimal Transport Necessary for Inverse Reinforcement Learning? cites this paper.
Is Optimal Transport Necessary for Inverse Reinforcement Learning? Wasserstein Adversarial Imitation Learning
Reference 2019
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-07T05:55:44.386000Z
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.