Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Is Value Functions Estimation with Classification Plug-and-play for Offline Reinforcement Learning?
As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2406.06309.
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 2026-08-04T06:34:03.388597+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-03T02:55:50.791145Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-16T03:37:13.772910Z
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 c83abdff-9a7b-4796-9fc8-4019c5e23882 · inbound
SERNF: Sample-Efficient Real-World Dexterous Policy Fine-Tuning via Action-Chunked Critics and Normalizing Flows cites this paper.
SERNF: Sample-Efficient Real-World Dexterous Policy Fine-Tuning via Action-Chunked Critics and Normalizing Flows Is Value Functions Estimation with Classification Plug-and-play for Offline Reinforcement Learning?
Reference 51
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T03:37:13.776471Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 4729479e-c980-4099-87b2-4c67855cfe07 · inbound
SERNF: Sample-Efficient Real-World Dexterous Policy Fine-Tuning via Action-Chunked Critics and Normalizing Flows cites this paper.
SERNF: Sample-Efficient Real-World Dexterous Policy Fine-Tuning via Action-Chunked Critics and Normalizing Flows Is Value Functions Estimation with Classification Plug-and-play for Offline Reinforcement Learning?
Reference 51
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T02:55:50.791145Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.