Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2407.01458.
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 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T10:53:10.808207Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-10T09:18:31.674359Z
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 e4590607-40c1-406b-8804-84ec0ad94f9b · inbound
Principal-Agent Bandit Games with Self-Interested and Exploratory Learning Agents Contractual Reinforcement Learning: Pulling Arms with Invisible Hands
Reference 39
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3633a0f4-bd5d-4451-9828-c2005aa4d3f7 · inbound
Algorithmic Contract Theory: A Survey Contractual Reinforcement Learning: Pulling Arms with Invisible Hands
Reference 77
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 475dff40-5cf1-4c99-9a6c-962f66fa311a · inbound
Provably Efficient Algorithm for Best Scoring Rule Identification in Online Principal-Agent Information Acquisition Contractual Reinforcement Learning: Pulling Arms with Invisible Hands
Reference 53
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 46d66d4f-ee05-4395-9569-8465266007b3 · inbound
Learning to Incentivize in Repeated Principal-Agent Problems with Adversarial Agent Arrivals Contractual Reinforcement Learning: Pulling Arms with Invisible Hands
Reference 32
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1ac80fa5-4b33-43c1-8cc2-a7d960748499 · inbound
The Power of Information for Intermediate States in Contract Design Contractual Reinforcement Learning: Pulling Arms with Invisible Hands
Reference 14
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.