Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Adaptive Behavior Cloning Regularization for Stable Offline-to-Online Reinforcement Learning
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2210.13846.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:14:46.698844Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T01:29:22.880441Z
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 9772347e-cd21-4d34-833d-ee2ba45afc40 · inbound
Learning to Trust Bellman Updates: Selective State-Adaptive Regularization for Offline RL cites this paper.
Learning to Trust Bellman Updates: Selective State-Adaptive Regularization for Offline RL Adaptive Behavior Cloning Regularization for Stable Offline-to-Online Reinforcement Learning
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:14:46.698844Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2e681ac7-2662-47f1-a5c6-3131a59b06e3 · inbound
ROAD: Adaptive Data Mixing for Offline-to-Online Reinforcement Learning via Bi-Level Optimization cites this paper.
ROAD: Adaptive Data Mixing for Offline-to-Online Reinforcement Learning via Bi-Level Optimization Adaptive Behavior Cloning Regularization for Stable Offline-to-Online Reinforcement Learning
Reference 33
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T01:33:27.170241Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation cdc602a0-d052-4536-85b7-fa02ead5b66b · inbound
DF-ExpEnse: Diffusion Filtered Exploration for Sample Efficient Finetuning cites this paper.
DF-ExpEnse: Diffusion Filtered Exploration for Sample Efficient Finetuning Adaptive Behavior Cloning Regularization for Stable Offline-to-Online Reinforcement Learning
Reference 16
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-04T01:29:22.881887Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.