Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2411.03810.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
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 2026-08-07T14:37:26.687623Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-10T12:55:24.144445Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation c0dd017e-a48f-4ee1-bda0-72d50ca7a1c8 · inbound
Pessimism Principle Can Be Effective: Towards a Framework for Zero-Shot Transfer Reinforcement Learning Hybrid Transfer Reinforcement Learning: Provable Sample Efficiency from Shifted-Dynamics Data
Reference 50
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4b460ac1-c88b-40fe-b4af-f5bbd26668f9 · inbound
Contextual Online Pricing with (Biased) Offline Data Hybrid Transfer Reinforcement Learning: Provable Sample Efficiency from Shifted-Dynamics Data
Reference 19
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f75ce9ba-f4cd-4356-9fd5-6a52f880be7e · inbound
Provably Efficient Offline-to-Online Value Adaptation with General Function Approximation Hybrid Transfer Reinforcement Learning: Provable Sample Efficiency from Shifted-Dynamics Data
Reference 7
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.
Observation d93ffebb-4124-4a93-9f37-a56fc5f74918 · inbound
Transfer Learning Across Policy Regimes in Adaptive Multi-Agent Systems Hybrid Transfer Reinforcement Learning: Provable Sample Efficiency from Shifted-Dynamics Data
Reference 3
Source-reported events for the cited work
Unavailable: canonical work link unavailable.