Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
RL4CO: an Extensive Reinforcement Learning for Combinatorial Optimization Benchmark
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2306.17100.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
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 2026-08-07T19:00:13.910344Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-30T11:54:38.423068Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 577c570d-6401-426c-a907-f12d9c42f40d · inbound
Multi-Agent Environments for Vehicle Routing Problems cites this paper.
Multi-Agent Environments for Vehicle Routing Problems RL4CO: an Extensive Reinforcement Learning for Combinatorial Optimization Benchmark
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T17:15:43.652664Z
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 3691a9cd-791f-4cc4-bcaa-b0b353b5cceb · inbound
Learning to Solve the Min-Max Mixed-Shelves Picker-Routing Problem via Hierarchical and Parallel Decoding cites this paper.
Learning to Solve the Min-Max Mixed-Shelves Picker-Routing Problem via Hierarchical and Parallel Decoding RL4CO: an Extensive Reinforcement Learning for Combinatorial Optimization Benchmark
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T19:00:13.910344Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 44c83f64-be6a-46bd-b7b2-48cc55bcb1af · inbound
SHIELD: Multi-task Multi-distribution Vehicle Routing Solver with Sparsity and Hierarchy cites this paper.
SHIELD: Multi-task Multi-distribution Vehicle Routing Solver with Sparsity and Hierarchy RL4CO: an Extensive Reinforcement Learning for Combinatorial Optimization Benchmark
Reference 2021
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:18:12.672425Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0ab2884f-543f-40f6-beb9-8426ec43656c · inbound
Large Language Models for Next-Generation Wireless Network Management: A Survey and Tutorial cites this paper.
Large Language Models for Next-Generation Wireless Network Management: A Survey and Tutorial RL4CO: an Extensive Reinforcement Learning for Combinatorial Optimization Benchmark
Reference 187
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T04:50:32.214536Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9646f662-11cc-4532-bb0e-7f54b0aaac81 · inbound
Constraint-Anchored Attribution: Feasibility-Certified Counterfactuals and Bonferroni-PAC Sufficient Subsets for Neural CO Policies cites this paper.
Constraint-Anchored Attribution: Feasibility-Certified Counterfactuals and Bonferroni-PAC Sufficient Subsets for Neural CO Policies RL4CO: an Extensive Reinforcement Learning for Combinatorial Optimization Benchmark
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T11:54:38.424829Z
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.