Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2405.01029.
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 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T20:59:08.524821Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T21:06:13.674271Z
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 a7bb880b-393c-4ee6-a3b5-19ffcf790f1d · inbound
Beyond the Heatmap: A Rigorous Evaluation of Component Impact in MCTS-Based TSP Solvers MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts
Reference 40
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 179951b3-becc-40c1-8f31-8631b8b33e67 · inbound
Multi-Agent Environments for Vehicle Routing Problems MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts
Reference 55
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 222fd78c-4f84-4ddb-8eb2-f72718de8255 · inbound
CAMP: Collaborative Attention Model with Profiles for Vehicle Routing Problems MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts
Reference 75
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation aaf831d2-3826-469d-9a4a-b256449877c0 · inbound
Vehicle-as-Prompt: A Unified Deep Reinforcement Learning Framework for Heterogeneous Fleet Vehicle Routing Problem MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts
Reference 28
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 25e91b3b-5a86-407a-bf50-9b20fa89129c · inbound
Deft Scheduling of Dynamic Cloud Workflows with Varying Deadlines via Mixture-of-Experts MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts
Reference 7
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.