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Paper Citation Record · LEDGER

Neural Combinatorial Optimization Algorithms for Solving Vehicle Routing Problems: A Comprehensive Survey with Perspectives

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2406.00415.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2406.00415 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T06:00:40.613222Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-23T17:15:43.688131Z

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 6f62539c-5594-4e7e-823b-6b5ab7d002f0 · inbound

Multi-Agent Environments for Vehicle Routing Problems cites this paper.

Multi-Agent Environments for Vehicle Routing Problems Neural Combinatorial Optimization Algorithms for Solving Vehicle Routing Problems: A Comprehensive Survey with Perspectives

Reference 49

Resolution
verified exact
arxiv_id, observed 2026-05-23T17:15:43.690254Z

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.

source=arxiv_source observed=2026-05-23T17:14:04.287133Z digest=sha256:17de2fdffaf1c233174472bbb2b2f7858dfc86cd4bd5288ce9f7c3a514f8b1a3

Observation ea900934-4b3b-45b7-bb6e-6144fa747c4a · inbound

GELD: A Unified Neural Model for Efficiently Solving Traveling Salesman Problems Across Different Scales cites this paper.

GELD: A Unified Neural Model for Efficiently Solving Traveling Salesman Problems Across Different Scales Neural Combinatorial Optimization Algorithms for Solving Vehicle Routing Problems: A Comprehensive Survey with Perspectives

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-07T06:00:40.613222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T06:00:40.613222Z digest=sha256:370670d1a5b6df8a57931036cba74e674782986a44dbc2c6b587b3e198e03149

Observation c95df7cb-f910-4f2d-841b-13ba3191df8f · inbound

Synergizing Reinforcement Learning and Genetic Algorithms for Neural Combinatorial Optimization cites this paper.

Synergizing Reinforcement Learning and Genetic Algorithms for Neural Combinatorial Optimization Neural Combinatorial Optimization Algorithms for Solving Vehicle Routing Problems: A Comprehensive Survey with Perspectives

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-07T04:58:22.079726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:58:22.079726Z digest=sha256:ccc0268e1b5e4fa3e99bc4595aa5fac0960d780e52a9aef29935649ff88522d3

Observation 6ba2c467-12d8-41be-af0f-90a44f672b9b · inbound

One4Many-StablePacker: An Efficient Deep Reinforcement Learning Framework for the 3D Bin Packing Problem cites this paper.

One4Many-StablePacker: An Efficient Deep Reinforcement Learning Framework for the 3D Bin Packing Problem Neural Combinatorial Optimization Algorithms for Solving Vehicle Routing Problems: A Comprehensive Survey with Perspectives

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-04T10:26:10.007893Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T10:26:10.007893Z digest=sha256:fb885a3e51ebe9b6f4d05b6bc4d6e80f278364328ba2e9a6de9ddaad8e0d0277

Observation 27038e9a-521f-4ac2-91a4-b7e11228a1e8 · inbound

Vehicle-as-Prompt: A Unified Deep Reinforcement Learning Framework for Heterogeneous Fleet Vehicle Routing Problem cites this paper.

Vehicle-as-Prompt: A Unified Deep Reinforcement Learning Framework for Heterogeneous Fleet Vehicle Routing Problem Neural Combinatorial Optimization Algorithms for Solving Vehicle Routing Problems: A Comprehensive Survey with Perspectives

Reference 13

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T23:15:48.662465Z

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.

source=pdf_text observed=2026-05-10T19:15:34.459877Z digest=sha256:51a98a128af5f17c723b2932290d39f5e20e40b9d11cb35804d51181e62eb78f

Observation 867cae64-0d06-4810-9235-c0025e7fb48d · inbound

A Unified Knowledge Embedded Reinforcement Learning-based Framework for Generalized Capacitated Vehicle Routing Problems cites this paper.

A Unified Knowledge Embedded Reinforcement Learning-based Framework for Generalized Capacitated Vehicle Routing Problems Neural Combinatorial Optimization Algorithms for Solving Vehicle Routing Problems: A Comprehensive Survey with Perspectives

Reference 35

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T02:13:30.783958Z

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.

source=pdf_text observed=2026-05-15T02:09:55.614859Z digest=sha256:7ddc53f9219c14fc789d05daf785cd01d7b554e2e2e8a30b10a1daa3d75b8e8c

Observation bbf2da22-2df9-4a3d-bbe4-2475a385983a · inbound

Learning to Solve Compositional Geometry Routing Problems cites this paper.

Learning to Solve Compositional Geometry Routing Problems Neural Combinatorial Optimization Algorithms for Solving Vehicle Routing Problems: A Comprehensive Survey with Perspectives

Reference 52

Resolution
metadata mismatch
arxiv_id, observed 2026-05-20T11:03:13.164440Z

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.

source=pdf_text observed=2026-05-20T11:02:43.490487Z digest=sha256:d6b9b3b4f51cc0ce7860f2822364d3fbdba0013914bbfb80bbde93b4e895a07f