Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Artificial Replay: A Meta-Algorithm for Harnessing Historical Data in Bandits
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2210.00025.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:54:41.794403Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-19T08:52:13.692524Z
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 0002b0d7-8d8c-49ca-bcd2-f4c7455798bb · inbound
Deconfounded Warm-Start Thompson Sampling with Applications to Precision Medicine cites this paper.
Deconfounded Warm-Start Thompson Sampling with Applications to Precision Medicine Artificial Replay: A Meta-Algorithm for Harnessing Historical Data in Bandits
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:54:41.794403Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d843cd2e-ef49-49df-acd6-68500a9ae0c3 · inbound
Multi-Armed Bandits With Machine Learning-Generated Surrogate Rewards cites this paper.
Multi-Armed Bandits With Machine Learning-Generated Surrogate Rewards Artificial Replay: A Meta-Algorithm for Harnessing Historical Data in Bandits
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T08:52:13.696055Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 14dc6f08-35d7-4a9c-b466-d592d75e5a64 · inbound
Decentralized Relaxed Smooth Optimization with Gradient Descent Methods cites this paper.
Decentralized Relaxed Smooth Optimization with Gradient Descent Methods Artificial Replay: A Meta-Algorithm for Harnessing Historical Data in Bandits
Reference 2023
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T21:34:28.800001Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2b4bb7cf-3301-4357-bafe-04f87cf2fc95 · inbound
Sample-Mean Anchored Thompson Sampling for Offline-to-Online Learning with Distribution Shift cites this paper.
Sample-Mean Anchored Thompson Sampling for Offline-to-Online Learning with Distribution Shift Artificial Replay: A Meta-Algorithm for Harnessing Historical Data in Bandits
Reference 56
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T06:01:24.966341Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation ecf818a8-36a6-45a4-9f1c-8a309e0485fd · inbound
Sample-Mean Anchored Thompson Sampling for Offline-to-Online Learning with Distribution Shift cites this paper.
Sample-Mean Anchored Thompson Sampling for Offline-to-Online Learning with Distribution Shift Artificial Replay: A Meta-Algorithm for Harnessing Historical Data in Bandits
Reference 56
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-15T05:09:45.502114Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.