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 6 inbound Pith citation observations for arXiv:2403.03672.
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 2026-08-07T14:16:52.208911Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-12T07:41:27.789065Z
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 0500cb62-2128-4fe6-a506-10c64ffda4f7 · inbound
Data-Dependent Regret Bounds for Constrained MABs Learning Adversarial MDPs with Stochastic Hard Constraints
Reference 2020
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a182d344-fcc4-42ee-bf95-7cbc40d03d95 · inbound
An Optimistic Algorithm for online CMDPS with Anytime Adversarial Constraints Learning Adversarial MDPs with Stochastic Hard Constraints
Reference 34
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a48b5e45-c020-4f85-983c-bea6457fb9b8 · inbound
No-Regret Learning Under Adversarial Resource Constraints: A Spending Plan Is All You Need! Learning Adversarial MDPs with Stochastic Hard Constraints
Reference 2024
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e25465a4-fbc9-4f66-99a5-5fa98b70a251 · inbound
Toward Optimal Regret in Robust Pricing: Decoupling Corruption and Time Learning Adversarial MDPs with Stochastic Hard Constraints
Reference 41
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 bb51d065-4e69-4969-b200-8c17d5295f61 · inbound
Online Resource Allocation With General Constraints Learning Adversarial MDPs with Stochastic Hard Constraints
Reference 40
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 f6298c77-7829-4a96-a705-ac0563ec262c · inbound
Decoupling Corruption and Horizon in Robust Contextual Pricing Learning Adversarial MDPs with Stochastic Hard Constraints
Reference 41
Source-reported events for the cited work
Unavailable: canonical work link unavailable.