Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T12:58:01.408433Z
Paper Citation Record · LEDGER
Learning to Search for Vehicle Routing with Multiple Time Windows
As of 10 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2505.23098.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
21 of 21 outbound references displayed
- verified exact2
- verified fuzzy8
- unresolved5
- parse uncertain0
- malformed identifier0
- metadata mismatch6
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 6f690b69-355f-43a0-866a-ae93b3ca589a · outbound
This paper cites Thevehicleroutingproblemwithmultipleprioritizedtimewindows:Acasestudy.
Learning to Search for Vehicle Routing with Multiple Time Windows Thevehicleroutingproblemwithmultipleprioritizedtimewindows:Acasestudy
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:58:04.522643Z
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 9b6cc037-3ddd-4e2b-9fc4-281fd7075275 · outbound
This paper cites Learning to Solve Vehicle Routing Problems with Time Windows through Joint Attention.
Learning to Search for Vehicle Routing with Multiple Time Windows Learning to Solve Vehicle Routing Problems with Time Windows through Joint Attention
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:58:00.239450Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fbae45de-61c1-4d54-b924-afec817a0659 · outbound
This paper cites Learn to Design the Heuristics for Vehicle Routing Problem.
Learning to Search for Vehicle Routing with Multiple Time Windows Learn to Design the Heuristics for Vehicle Routing Problem
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:58:00.387265Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a77d4d25-caa6-4927-b710-d4d2d6f4e28a · outbound
This paper cites Transportation Science 54, 400–416.
Learning to Search for Vehicle Routing with Multiple Time Windows Transportation Science 54, 400–416
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:58:04.122141Z
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 26c61fe1-e746-4829-bfe9-fdcb1b868fd6 · outbound
This paper cites Expert Systems with Applications 153, 113444.
Learning to Search for Vehicle Routing with Multiple Time Windows Expert Systems with Applications 153, 113444
Reference 12
- Resolution
- metadata mismatch
- raw_fallback, observed 2026-08-07T12:58:02.670042Z
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 65ef6069-3a78-435f-9676-ea2765cdec31 · outbound
This paper cites On the fluid slip along a solid surface.
Learning to Search for Vehicle Routing with Multiple Time Windows On the fluid slip along a solid surface
Reference 15
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-07T12:58:02.404932Z
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 190b6a72-9ce8-49a2-9bbb-616afade8ceb · outbound
This paper cites Calibrating 15 years of GOLF data.
Learning to Search for Vehicle Routing with Multiple Time Windows Calibrating 15 years of GOLF data
Reference 19
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-07T12:58:02.205279Z
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 3ab59c2d-4afd-47ad-a65b-88008597b83e · outbound
This paper cites Society for Industrial and Applied Mathematics.
Learning to Search for Vehicle Routing with Multiple Time Windows Society for Industrial and Applied Mathematics
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:58:03.412011Z
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 8734b1f3-f251-4ede-89b0-f0dd9e724a34 · outbound
This paper cites European journal of operational research 130, 449–467.
Learning to Search for Vehicle Routing with Multiple Time Windows European journal of operational research 130, 449–467
Reference 2001
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:58:04.273764Z
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 b1e00710-de7d-490b-abbc-fb1bda500900 · outbound
This paper cites EURO Journal on Transportation and Logistics 1, 285–306.
Learning to Search for Vehicle Routing with Multiple Time Windows EURO Journal on Transportation and Logistics 1, 285–306
Reference 2012
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:58:04.382096Z
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 05273d12-698e-4731-b8ed-0b2f491be0d5 · outbound
This paper cites Transportation Science 47, 81–107.
Learning to Search for Vehicle Routing with Multiple Time Windows Transportation Science 47, 81–107
Reference 2013
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:58:03.734637Z
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 dd4d752a-07a6-471e-8952-c9c972806546 · outbound
This paper cites Computers & Operations Research 52, 269–281.
Learning to Search for Vehicle Routing with Multiple Time Windows Computers & Operations Research 52, 269–281
Reference 2014
- Resolution
- verified exact
- doi, observed 2026-08-07T12:58:01.792999Z
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 cfc764f0-87ee-491a-8694-a37ea38df6cd · outbound
This paper cites High-Dimensional Continuous Control Using Generalized Advantage Estimation.
Learning to Search for Vehicle Routing with Multiple Time Windows High-Dimensional Continuous Control Using Generalized Advantage Estimation
Reference 2015
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:58:01.083151Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 26e625fa-1b00-4750-b521-31227e55305c · outbound
This paper cites nature 550, 354–359.
Learning to Search for Vehicle Routing with Multiple Time Windows nature 550, 354–359
Reference 2017
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:58:03.588154Z
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 79bfa240-0149-4329-94d0-dcdf8688362b · outbound
This paper cites Electronic Notes in Discrete Mathematics 66, 207–214.
Learning to Search for Vehicle Routing with Multiple Time Windows Electronic Notes in Discrete Mathematics 66, 207–214
Reference 2018
- Resolution
- verified exact
- doi, observed 2026-08-07T12:58:01.623954Z
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 a68eb9b8-1952-4c7a-9ef0-bf5bffce9e77 · outbound
This paper cites an unresolved cited work.
Learning to Search for Vehicle Routing with Multiple Time Windows Unresolved cited work
Reference 2019
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T12:58:04.000317Z
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 e627eb50-ebf0-405b-9bc6-873a405664c5 · outbound
This paper cites Dynamic Partial Removal: A Neural Network Heuristic for Large Neighborhood Search.
Learning to Search for Vehicle Routing with Multiple Time Windows Dynamic Partial Removal: A Neural Network Heuristic for Large Neighborhood Search
Reference 2020
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-07T12:58:02.844435Z
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 f8014084-d3ef-483a-9812-e153a9b31522 · outbound
This paper cites Computers & Operations Research 134, 105400.
Learning to Search for Vehicle Routing with Multiple Time Windows Computers & Operations Research 134, 105400
Reference 2021
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:58:03.862885Z
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 d15ca18f-ea19-40c6-8b61-e66f8a6a4eb9 · outbound
This paper cites Learning to Solve Soft-Constrained Vehicle Routing Problems with Lagrangian Relaxation.
Learning to Search for Vehicle Routing with Multiple Time Windows Learning to Solve Soft-Constrained Vehicle Routing Problems with Lagrangian Relaxation
Reference 2022
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-07T12:58:01.990478Z
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 73ba7d2a-4317-4c09-abc5-02cc2bcfce7c · outbound
This paper cites Computers & Operations Research 149, 106016.
Learning to Search for Vehicle Routing with Multiple Time Windows Computers & Operations Research 149, 106016
Reference 2023
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:58:00.024058Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9adffc31-f96f-4f76-82df-dc186eb2c9bc · outbound
This paper cites Looking Ahead to Avoid Being Late: Solving Hard-Constrained Traveling Salesman Problem.
Learning to Search for Vehicle Routing with Multiple Time Windows Looking Ahead to Avoid Being Late: Solving Hard-Constrained Traveling Salesman Problem
Reference 2024
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-07T12:58:02.964731Z
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.
Pith citing papers
No inbound Pith citation observations are available.