Paper Citation Record · LEDGER

Enhancing Cross-Problem Vehicle Routing via Federated Learning

As of 5 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2604.10652.

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

pith.paper-citation-record.v1
2604.10652 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T15:39:47.782902Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+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

44 of 44 outbound references displayed

verified exact1
verified fuzzy43
unresolved0
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malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 828514e8-b931-4126-8516-f6e0edc0e4d4 · outbound

This paper cites Le, Mohammad Norouzi, and Samy Bengio.

Enhancing Cross-Problem Vehicle Routing via Federated Learning Le, Mohammad Norouzi, and Samy Bengio

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T19:22:05.384515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 5f77ad03-e7a6-4b23-b40b-ea2d4bc3a23c · outbound

This paper cites RouteFinder: Towards Foundation Models for Vehicle Routing Problems.

Enhancing Cross-Problem Vehicle Routing via Federated Learning RouteFinder: Towards Foundation Models for Vehicle Routing Problems

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T19:22:05.381463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 488c2f24-842a-4288-8a91-b15af9e9f658 · outbound

This paper cites Learning to handle complex constraints for vehicle routing problems.

Enhancing Cross-Problem Vehicle Routing via Federated Learning Learning to handle complex constraints for vehicle routing problems

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T19:22:05.387292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 1ccdf0a5-637b-4a31-98fd-9163cf3da2ed · outbound

This paper cites Vehicle routing problems for city logistics.

Enhancing Cross-Problem Vehicle Routing via Federated Learning Vehicle routing problems for city logistics

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T19:22:05.372382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation faa1a59e-7a4d-47b6-a7c2-61195fcabb67 · outbound

This paper cites Personalized federated learning with theoretical guarantees: A model-agnostic meta-learning approach.

Enhancing Cross-Problem Vehicle Routing via Federated Learning Personalized federated learning with theoretical guarantees: A model-agnostic meta-learning approach

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T19:22:05.375480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 32da5158-fde9-4d96-b025-aa9225154131 · outbound

This paper cites Or-tools routing library.

Enhancing Cross-Problem Vehicle Routing via Federated Learning Or-tools routing library

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T19:22:05.378389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e5cc8839-00c6-4274-9681-982f6742fdc1 · outbound

This paper cites Towards generalizable neural solvers for vehicle routing problems via ensemble with transferrable local policy.

Enhancing Cross-Problem Vehicle Routing via Federated Learning Towards generalizable neural solvers for vehicle routing problems via ensemble with transferrable local policy

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T19:22:05.362057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 505aabda-8711-471f-ab43-56d75c860ff3 · outbound

This paper cites Shield: Multi-task multi-distribution vehicle routing solver with sparsity and hierarchy.

Enhancing Cross-Problem Vehicle Routing via Federated Learning Shield: Multi-task multi-distribution vehicle routing solver with sparsity and hierarchy

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T19:22:05.364560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d259b495-807a-40e1-ae17-a726cbab865a · outbound

This paper cites Winner takes it all: Training performant rl populations for combinatorial optimization.

Enhancing Cross-Problem Vehicle Routing via Federated Learning Winner takes it all: Training performant rl populations for combinatorial optimization

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T19:22:05.367120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b03682e6-4784-4a2d-87ac-01239be9bf0c · outbound

This paper cites Polynet: Learning diverse solution strategies for neural combinatorial optimization.

Enhancing Cross-Problem Vehicle Routing via Federated Learning Polynet: Learning diverse solution strategies for neural combinatorial optimization

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T19:22:05.369730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 4048f409-845f-49f5-b452-5a8b11168b3e · outbound

This paper cites FFT-MoE: Efficient Federated Fine-Tuning for Foundation Models via Large-scale Sparse MoE under Heterogeneous Edge.

Enhancing Cross-Problem Vehicle Routing via Federated Learning FFT-MoE: Efficient Federated Fine-Tuning for Foundation Models via Large-scale Sparse MoE under Heterogeneous Edge

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:06:02.383975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 31ef9c21-06b9-4ef9-aca6-0a70346ecbe5 · outbound

This paper cites Rethinking light decoder-based solvers for vehicle routing problems.

Enhancing Cross-Problem Vehicle Routing via Federated Learning Rethinking light decoder-based solvers for vehicle routing problems

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T19:22:05.359483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 9f22963e-690f-4672-9a80-670d4c0089f3 · outbound

This paper cites Editing models with task arithmetic.

Enhancing Cross-Problem Vehicle Routing via Federated Learning Editing models with task arithmetic

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T19:22:05.354592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 1c799104-1bdf-459c-861b-50b86d8db5cf · outbound

This paper cites Sym-nco: Leveraging symmetricity for neural combinatorial optimization.

Enhancing Cross-Problem Vehicle Routing via Federated Learning Sym-nco: Leveraging symmetricity for neural combinatorial optimization

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T19:22:05.357068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 9c218820-8892-469f-b1fc-cb18594b13a1 · outbound

This paper cites Vehicle routing problem and related algorithms for logistics distribution: A literature review and classification.

Enhancing Cross-Problem Vehicle Routing via Federated Learning Vehicle routing problem and related algorithms for logistics distribution: A literature review and classification

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T19:22:05.443654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation be9fee9c-191a-453c-99fd-3afb9e3a51f7 · outbound

This paper cites Attention, learn to solve routing problems! In International Conference on Learning Representations.

Enhancing Cross-Problem Vehicle Routing via Federated Learning Attention, learn to solve routing problems! In International Conference on Learning Representations

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T19:22:05.460813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 195b9dbc-74f1-491a-ae82-9d4c4b1581f0 · outbound

This paper cites Pomo: Policy optimization with multiple optima for reinforcement learning.

Enhancing Cross-Problem Vehicle Routing via Federated Learning Pomo: Policy optimization with multiple optima for reinforcement learning

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T19:22:05.395527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a1f1695e-351a-4189-b67c-ea269c36ba0d · outbound

This paper cites Matrix encoding networks for neural combinatorial optimization.

Enhancing Cross-Problem Vehicle Routing via Federated Learning Matrix encoding networks for neural combinatorial optimization

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T19:22:05.433144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 3399f63b-e1b0-479a-b78a-9859be37af7b · outbound

This paper cites Federated optimization in heterogeneous networks.

Enhancing Cross-Problem Vehicle Routing via Federated Learning Federated optimization in heterogeneous networks

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T19:22:05.430834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a9ef991f-a296-406f-85c5-a0adc4985313 · outbound

This paper cites Learning to delegate for large-scale vehicle routing.

Enhancing Cross-Problem Vehicle Routing via Federated Learning Learning to delegate for large-scale vehicle routing

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T19:22:05.392511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 198fd668-7d4a-429e-8f96-057957b56828 · outbound

This paper cites Ca DA : Cross-problem routing solver with constraint-aware dual-attention.

Enhancing Cross-Problem Vehicle Routing via Federated Learning Ca DA : Cross-problem routing solver with constraint-aware dual-attention

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T19:22:05.450879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 1d4a5d7f-fc1f-4ad2-a4ce-f1d8a43092ef · outbound

This paper cites Bopo: Neural combinatorial optimization via best-anchored and objective-guided preference optimization.

Enhancing Cross-Problem Vehicle Routing via Federated Learning Bopo: Neural combinatorial optimization via best-anchored and objective-guided preference optimization

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T19:22:05.435781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f622e685-7522-424c-80b4-859b86107c69 · outbound

This paper cites Cross-problem learning for solving vehicle routing problems.

Enhancing Cross-Problem Vehicle Routing via Federated Learning Cross-problem learning for solving vehicle routing problems

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T19:22:05.453224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c69380f1-fe06-425d-b3ac-0ae53973fb1f · outbound

This paper cites Multi-task learning for routing problem with cross-problem zero-shot generalization.

Enhancing Cross-Problem Vehicle Routing via Federated Learning Multi-task learning for routing problem with cross-problem zero-shot generalization

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T19:22:05.425575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 84f68403-3913-4c33-80d6-b6701fcf0b6f · outbound

This paper cites Decoupled weight decay regularization.

Enhancing Cross-Problem Vehicle Routing via Federated Learning Decoupled weight decay regularization

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T19:22:05.428197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 93b97b06-932f-4758-81c4-f52c6f57c4e7 · outbound

This paper cites Neural combinatorial optimization with heavy decoder: Toward large scale generalization.

Enhancing Cross-Problem Vehicle Routing via Federated Learning Neural combinatorial optimization with heavy decoder: Toward large scale generalization

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T19:22:05.423041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 4b8cea31-4894-41f5-bf3b-6804b20e06af · outbound

This paper cites COE xpander: Adaptive solution expansion for combinatorial optimization.

Enhancing Cross-Problem Vehicle Routing via Federated Learning COE xpander: Adaptive solution expansion for combinatorial optimization

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T19:22:05.446202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d96bf3a9-3e41-4884-9322-559ab2aaef47 · outbound

This paper cites Communication-efficient learning of deep networks from decentralized data.

Enhancing Cross-Problem Vehicle Routing via Federated Learning Communication-efficient learning of deep networks from decentralized data

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T19:22:05.390197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 6af672d9-c73b-41d8-a95b-09e97b11df2d · outbound

This paper cites Flis: Clustered federated learning via inference similarity for non-iid data distribution.

Enhancing Cross-Problem Vehicle Routing via Federated Learning Flis: Clustered federated learning via inference similarity for non-iid data distribution

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T19:22:05.406478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 82e13042-82a4-4cc4-aedb-56e4355c3c4e · outbound

This paper cites Reinforcement learning for solving the vehicle routing problem.

Enhancing Cross-Problem Vehicle Routing via Federated Learning Reinforcement learning for solving the vehicle routing problem

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T19:22:05.441099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f980fb9d-90dd-444e-9505-faf48560b627 · outbound

This paper cites Multi-task vehicle routing solver via mixture of specialized experts under state-decomposable mdp.

Enhancing Cross-Problem Vehicle Routing via Federated Learning Multi-task vehicle routing solver via mixture of specialized experts under state-decomposable mdp

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T19:22:05.418311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 6e96cec4-4a9a-4701-8fba-25a61d8d840b · outbound

This paper cites Clustered federated learning: Model-agnostic distributed multitask optimization under privacy constraints.

Enhancing Cross-Problem Vehicle Routing via Federated Learning Clustered federated learning: Model-agnostic distributed multitask optimization under privacy constraints

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T19:22:05.455748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation bd321a74-09ae-4afd-b83a-2330623210c4 · outbound

This paper cites Federated multi-task learning.

Enhancing Cross-Problem Vehicle Routing via Federated Learning Federated multi-task learning

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T19:22:05.401123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 8b22b9ea-9139-4077-9493-ff35a864b0e8 · outbound

This paper cites Hybrid genetic search for the cvrp: Open-source implementation and swap* neighborhood.

Enhancing Cross-Problem Vehicle Routing via Federated Learning Hybrid genetic search for the cvrp: Open-source implementation and swap* neighborhood

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T19:22:05.403895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 56b59532-c7c7-4635-a57d-68ca5cc56837 · outbound

This paper cites Pointer networks.

Enhancing Cross-Problem Vehicle Routing via Federated Learning Pointer networks

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T19:22:05.420545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 7ba026b3-a92e-4afd-bee9-562105482be1 · outbound

This paper cites Fedftha: A fine-tuning and head aggregation method in federated learning.

Enhancing Cross-Problem Vehicle Routing via Federated Learning Fedftha: A fine-tuning and head aggregation method in federated learning

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T19:22:05.411340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e9c98bd3-5ad6-45e5-9e9d-9f1dcbe6423e · outbound

This paper cites Flora: Federated fine-tuning large language models with heterogeneous low-rank adaptations.

Enhancing Cross-Problem Vehicle Routing via Federated Learning Flora: Federated fine-tuning large language models with heterogeneous low-rank adaptations

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T19:22:05.409031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 189b327b-f875-426c-8c56-5b355e0bd5e9 · outbound

This paper cites Simple statistical gradient-following algorithms for connectionist reinforcement learning.

Enhancing Cross-Problem Vehicle Routing via Federated Learning Simple statistical gradient-following algorithms for connectionist reinforcement learning

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T19:22:05.438496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 4b34ad5b-9145-4451-a3ce-3b53fba5c472 · outbound

This paper cites Pyvrp: A high-performance vrp solver package.

Enhancing Cross-Problem Vehicle Routing via Federated Learning Pyvrp: A high-performance vrp solver package

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T19:22:05.448491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 4a649cae-8373-405e-a4a7-f8808372c0fd · outbound

This paper cites TIES -merging: Resolving interference when merging models.

Enhancing Cross-Problem Vehicle Routing via Federated Learning TIES -merging: Resolving interference when merging models

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T19:22:05.415881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 1ae7e6a3-906f-41ec-b949-e09c3cec5787 · outbound

This paper cites Language models are super mario: Absorbing abilities from homologous models as a free lunch.

Enhancing Cross-Problem Vehicle Routing via Federated Learning Language models are super mario: Absorbing abilities from homologous models as a free lunch

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T19:22:05.458097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 33dc5f34-b27f-428b-9815-eb26abd19745 · outbound

This paper cites Mvmoe: Multi-task vehicle routing solver with mixture-of-experts.

Enhancing Cross-Problem Vehicle Routing via Federated Learning Mvmoe: Multi-task vehicle routing solver with mixture-of-experts

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T19:22:05.463325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b85d9ea1-b8f1-40dc-9cff-85340583d262 · outbound

This paper cites Federated cinn clustering for accurate clustered federated learning.

Enhancing Cross-Problem Vehicle Routing via Federated Learning Federated cinn clustering for accurate clustered federated learning

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T19:22:05.413519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f104da26-09b9-4cd9-9ded-099dfb70bc8b · outbound

This paper cites write newline.

Enhancing Cross-Problem Vehicle Routing via Federated Learning write newline

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T19:22:05.398386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Pith citing papers

No inbound Pith citation observations are available.