Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
DARLA: Improving Zero-Shot Transfer in Reinforcement Learning
As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1707.08475.
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 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-03T18:30:47.903125Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-05-24T06:18:59.659746Z
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 04038a5a-d2ee-48d2-999c-9d23b4d243c5 · inbound
Temporal Transfer Learning for Traffic Optimization with Coarse-grained Advisory Autonomy cites this paper.
Temporal Transfer Learning for Traffic Optimization with Coarse-grained Advisory Autonomy DARLA: Improving Zero-Shot Transfer in Reinforcement Learning
Reference 30
- Resolution
- verified exact
- local_arxiv, observed 2026-05-24T06:18:59.663247Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 310b6b3c-5307-415f-910a-cb36c3c380a9 · inbound
State-Conditional Adversarial Learning: An Off-Policy Visual Domain Transfer Method for End-to-End Imitation Learning cites this paper.
State-Conditional Adversarial Learning: An Off-Policy Visual Domain Transfer Method for End-to-End Imitation Learning DARLA: Improving Zero-Shot Transfer in Reinforcement Learning
Reference 9
- Resolution
- verified exact
- local_arxiv, observed 2026-05-21T18:24:18.192100Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation f7103ba1-743f-4ed0-81e3-744db9cb9a0d · inbound
State-Conditional Adversarial Learning: An Off-Policy Visual Domain Transfer Method for End-to-End Imitation Learning cites this paper.
State-Conditional Adversarial Learning: An Off-Policy Visual Domain Transfer Method for End-to-End Imitation Learning DARLA: Improving Zero-Shot Transfer in Reinforcement Learning
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T18:30:47.903125Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.