Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2202.04500.
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 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T18:52:13.908894Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-24T06:18:59.640650Z
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 66e70c79-1bbf-469c-9919-85ae5252b7d9 · inbound
Temporal Transfer Learning for Traffic Optimization with Coarse-grained Advisory Autonomy Contextualize Me -- The Case for Context in Reinforcement Learning
Reference 55
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 80d33c75-105c-46b1-9604-129ad6c61152 · inbound
AMAGO-2: Breaking the Multi-Task Barrier in Meta-Reinforcement Learning with Transformers Contextualize Me -- The Case for Context in Reinforcement Learning
Reference 41
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 930e4926-5eb3-4d39-a6a4-8b94aac96986 · inbound
LLM Bandit: Cost-Efficient LLM Generation via Preference-Conditioned Dynamic Routing Contextualize Me -- The Case for Context in Reinforcement Learning
Reference 4
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5018cdb5-3894-49c4-b34a-cfbb0697282e · inbound
Pessimism Principle Can Be Effective: Towards a Framework for Zero-Shot Transfer Reinforcement Learning Contextualize Me -- The Case for Context in Reinforcement Learning
Reference 6
Source-reported events for the cited work
Unavailable: canonical work link unavailable.