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Paper Citation Record · LEDGER

Learning to Search for Vehicle Routing with Multiple Time Windows

As of 17 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.

pith.paper-citation-record.v1
2505.23098 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:58:01.408433Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T12:57:59.899233Z digest=sha256:2b622ecd3275623018caf5cab88665dcd9d44d2b54e57757d7ac884af7012073

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.

source=pdf_text observed=2026-08-07T12:58:00.239450Z digest=sha256:f6428fe44383f898d152468000500307fe2405ff7724f13e5001d89d9d7851b3

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.

source=pdf_text observed=2026-08-07T12:58:00.387265Z digest=sha256:3baec1f89497e3df8a3aaee4859e5e18ead7a4ab3df03fc0ea946b76c4782f08

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T12:58:00.597603Z digest=sha256:2ffc0a2f49bc90ac5e0426be136ab7d0e4b66f18a948d45c11c3ad406222a9f8

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T12:58:00.673450Z digest=sha256:a7ff739e38c0bc69253d923fe8671ad97873c29caf377d5cc7481bf4402cd43f

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T12:58:00.903485Z digest=sha256:1c959b6b989e5304cfeb104fa15f7f5f612ff834b3a7fb311ea6802e79b1f6e0

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T12:58:01.217347Z digest=sha256:bd92a360225b5dafbf1f37799a0b88f96e1665f7f3b06c21442355d2f0087d07

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T12:58:01.408433Z digest=sha256:e3239041d19fdd1a81d799eb8b096be8d0924fe1b6f94c9058c16a3333949eb4

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T12:58:00.542209Z digest=sha256:a882ce8d67972ed2c9c4b020abea7bc179facd16790fefeaa4afe09141dfd827

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T12:58:00.472523Z digest=sha256:e92d07e23e636a231d0f2f8b62a8627dbbcd1666be4e9cb3fbaac691e127a7df

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T12:58:00.986256Z digest=sha256:668fc29d56f28b1db8a23e6baf776c0782fffd4f1e543bf803c5e4a2893ae004

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T12:57:59.938273Z digest=sha256:d6e642408ef7126a0d75f00cc547b4658cfe4c248959dc8ba08d3b173f460fbf

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.

source=pdf_text observed=2026-08-07T12:58:01.083151Z digest=sha256:2837b42ded8756fe8f1e59a7e8063f5ab944b7314ae5ac14c527b1cadace7431

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T12:58:01.136518Z digest=sha256:dff58e36217c0e3fc2046badb07bab8aab638b609af1d67ebc3244f5cea9e84f

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T12:58:00.319340Z digest=sha256:3a6cc1218d10bcd15bbfcfca5d89fb4751237ff8c85238f8da2a64f744d3ef7a

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T12:58:00.739072Z digest=sha256:187813d060ab61dcac214f9e2667226815a626de47ca141ea6aa0c0fafd6ed8c

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T12:58:00.160594Z digest=sha256:39525adbef88e95943cb28471ab644d07d1a6e926265379b07120824affd0f29

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T12:58:00.828272Z digest=sha256:a298a764928a70c4b362c7622de102f53c62bef7a375e934f66da93f60ba0b13

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T12:58:01.298257Z digest=sha256:67ab0720bf1fc411a926d123b2e6bf01cca416cc6e26e361f8f9bccc45371551

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.

source=pdf_text observed=2026-08-07T12:58:00.024058Z digest=sha256:3e792896a0a06929752a9d4de0a12ef41276aeab59fe07706906212e3bfdd1a3

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T12:58:00.090790Z digest=sha256:f37ff2d6e74b582c31210d4616cbcc48a03135a5108f8695d3f3d913d4e38550

Pith citing papers

No inbound Pith citation observations are available.