Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2308.01649.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T15:24:56.432000Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-13T03:02:09.992085Z
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 d8eb6738-9cda-4271-ab1d-8a2c8346f634 · inbound
Collaborating in a competitive world: Heterogeneous Multi-Agent Decision Making in Symbiotic Supply Chain Environments MARLIM: Multi-Agent Reinforcement Learning for Inventory Management
Reference 18
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3173f6d7-6862-4fac-bd11-dad2466e3ed0 · inbound
A Survey of Reinforcement Learning for Optimization in Automation MARLIM: Multi-Agent Reinforcement Learning for Inventory Management
Reference 19
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 15f393b6-564d-4458-a6e4-9cb6cdc0d113 · inbound
gym-invmgmt: An Open Benchmarking Framework for Inventory Management Methods MARLIM: Multi-Agent Reinforcement Learning for Inventory Management
Reference 9
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 1e9dbf4e-33bb-4670-ab08-cdc56641426a · inbound
Two-Timescale Hierarchical Reinforcement Learning for Resilient Operations MARLIM: Multi-Agent Reinforcement Learning for Inventory Management
Reference 27
Source-reported events for the cited work
Unavailable: canonical work link unavailable.