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Paper Citation Record · LEDGER

Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts

As of 9 August 2026, this Paper Citation Record lists 64 of 64 outbound references and 0 inbound Pith citation observations for arXiv:2605.26776.

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pith.paper-citation-record.v1
2605.26776 v1

Coverage vector

measured 64 of 64 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-29T19:46:55.148691Z

measured 64 of 64 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

64 of 64 outbound references displayed

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  • verified fuzzy0
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Outbound references

Observation 37e75d3c-29a0-479c-b005-6e9796e71d52 · outbound

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

Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts Vehicle routing problem and related algorithms for logistics distribution: A literature review and classification,

Reference 1

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Observation 19d45bdb-6daa-4fac-8495-c669d87aee5b · outbound

This paper cites A review on learning to solve combinatorial optimisation problems in manufacturing,.

Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts A review on learning to solve combinatorial optimisation problems in manufacturing,

Reference 2

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Observation bc3a51a6-c1ea-46f4-bfd4-34bc0902ec47 · outbound

This paper cites Neural air- port ground handling,.

Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts Neural air- port ground handling,

Reference 3

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Observation 528edac6-907a-4605-88ca-320bc5cb6cf3 · outbound

This paper cites Machine learning for combinato- rial optimization: a methodological tour d’horizon,.

Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts Machine learning for combinato- rial optimization: a methodological tour d’horizon,

Reference 4

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Observation da11a4de-df45-417a-be63-5527cb6e08f9 · outbound

This paper cites Attention, learn to solve routing problems!.

Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts Attention, learn to solve routing problems!

Reference 5

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Observation 77bdef0b-3200-4c50-bfe0-ff9da61adf37 · outbound

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

Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts Pomo: Policy optimization with multiple optima for reinforcement learning,

Reference 6

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Observation 3ab7de3d-4626-4795-8135-1cd0a359445e · outbound

This paper cites New benchmark instances for the capacitated vehicle routing problem,.

Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts New benchmark instances for the capacitated vehicle routing problem,

Reference 7

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Observation e46562f3-f78f-4afa-9d08-53923039f8f7 · outbound

This paper cites Tsplib—a traveling salesman problem library,.

Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts Tsplib—a traveling salesman problem library,

Reference 8

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Observation 9289dc6e-b412-48a6-b861-0f3d28918105 · outbound

This paper cites Learning the travelling salesperson problem requires rethinking generalization,.

Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts Learning the travelling salesperson problem requires rethinking generalization,

Reference 9

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Observation 471a43fb-c878-4cb7-918f-5c4923d56b1d · outbound

This paper cites Learning to solve routing problems via distributionally robust optimization,.

Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts Learning to solve routing problems via distributionally robust optimization,

Reference 10

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Observation 2a551c18-c15e-4a8d-9678-4e3948f54f47 · outbound

This paper cites Learning generalizable models for vehicle routing problems via knowl- edge distillation,.

Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts Learning generalizable models for vehicle routing problems via knowl- edge distillation,

Reference 11

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Observation 3f40bf34-17c4-48b0-abce-5bdd84c37144 · outbound

This paper cites Ensemble-based deep reinforcement learning for vehicle routing problems under distribution shift,.

Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts Ensemble-based deep reinforcement learning for vehicle routing problems under distribution shift,

Reference 12

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Observation d33be8fd-2d9b-4f81-9f64-911fb03d3ae9 · outbound

This paper cites Towards generalizable neural solvers for vehicle routing problems via ensemble with trans- ferrable local policy,.

Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts Towards generalizable neural solvers for vehicle routing problems via ensemble with trans- ferrable local policy,

Reference 13

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Observation 93d1f2ee-5089-4315-88aa-9c16e93cc54b · outbound

This paper cites On the generalization of neural combinatorial optimization heuristics,.

Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts On the generalization of neural combinatorial optimization heuristics,

Reference 14

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Observation 95f77a28-b59f-4a31-bb42-082c7d060fd3 · outbound

This paper cites Towards omni- generalizable neural methods for vehicle routing problems,.

Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts Towards omni- generalizable neural methods for vehicle routing problems,

Reference 15

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Observation b3888d4c-ebe2-457e-88f9-9f9c0e384948 · outbound

This paper cites The Llama 3 Herd of Models.

Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts The Llama 3 Herd of Models

Reference 16

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Observation 84c0efc7-deba-440d-86a7-bbfb9847c5f9 · outbound

This paper cites GPT-4 Technical Report.

Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts GPT-4 Technical Report

Reference 17

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Observation 28ee28ba-0df9-46e2-96c6-33b21cd3d7ef · outbound

This paper cites DeepSeek-V3 Technical Report.

Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts DeepSeek-V3 Technical Report

Reference 18

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Observation d8f7995c-a60d-4d95-b902-cb5a7f6ae49a · outbound

This paper cites Pointer networks,.

Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts Pointer networks,

Reference 19

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Observation 5c924f72-32e2-48c6-a5f7-cb43da1fdf73 · outbound

This paper cites Neural com- binatorial optimization with reinforcement learning,.

Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts Neural com- binatorial optimization with reinforcement learning,

Reference 20

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Observation b991fd47-475a-47bd-8ffe-d516e02cd14e · outbound

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

Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts Reinforcement learning for solving the vehicle routing problem,

Reference 21

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Observation b2599cdb-b6c5-4470-b3b1-dde91ac31817 · outbound

This paper cites Attention is all you need,.

Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts Attention is all you need,

Reference 22

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Observation a3eecc86-d38f-4eb9-a8fb-f788ed5abcc9 · outbound

This paper cites Learning combinatorial optimization algorithms over graphs,.

Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts Learning combinatorial optimization algorithms over graphs,

Reference 23

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Observation 9545370f-e7e3-44f3-ac6f-1cbbff1fb619 · outbound

This paper cites An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem.

Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem

Reference 24

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Observation a606296a-85be-4afe-8e66-20205f0ec839 · outbound

This paper cites Generalize a small pre-trained model to arbitrarily large tsp instances,.

Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts Generalize a small pre-trained model to arbitrarily large tsp instances,

Reference 25

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Observation 9d0e84bb-ad69-4731-94b5-06b6534357fe · outbound

This paper cites Deep policy dynamic programming for vehicle routing problems,.

Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts Deep policy dynamic programming for vehicle routing problems,

Reference 26

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Observation 1f50ba27-17c6-4e9f-9456-754c2bf5367f · outbound

This paper cites Neural large neighborhood search for the capacitated vehicle routing problem,.

Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts Neural large neighborhood search for the capacitated vehicle routing problem,

Reference 27

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Observation 019ca9d1-0136-4bac-83d5-3259c9cfb902 · outbound

This paper cites Graph neural network guided local search for the traveling salesperson problem,.

Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts Graph neural network guided local search for the traveling salesperson problem,

Reference 28

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Observation d549a766-c11c-467c-80ed-adaa7b88c688 · outbound

This paper cites Neurolkh: Combining deep learning model with lin-kernighan-helsgaun heuristic for solving the traveling salesman problem,.

Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts Neurolkh: Combining deep learning model with lin-kernighan-helsgaun heuristic for solving the traveling salesman problem,

Reference 29

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Observation 35d5d045-30ba-4ade-ad69-4fb1ebf3f2bd · outbound

This paper cites Learning 2- opt heuristics for the traveling salesman problem via deep reinforcement learning,.

Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts Learning 2- opt heuristics for the traveling salesman problem via deep reinforcement learning,

Reference 30

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Observation efbe054d-c3f7-4a5f-8948-dba6bb41245e · outbound

This paper cites Learning 3-opt heuristics for traveling salesman problem via deep reinforcement learning,.

Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts Learning 3-opt heuristics for traveling salesman problem via deep reinforcement learning,

Reference 31

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Observation 61516d0d-7734-4a19-beed-37c4119dc559 · outbound

This paper cites Learning to search feasible and infea- sible regions of routing problems with flexible neural k-opt,.

Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts Learning to search feasible and infea- sible regions of routing problems with flexible neural k-opt,

Reference 32

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This paper cites Deep reinforcement learning for multi-period facility location pk-median dynamic location problem,.

Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts Deep reinforcement learning for multi-period facility location pk-median dynamic location problem,

Reference 33

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Observation 480d8356-50c0-4254-a99e-7fede3b17c64 · outbound

This paper cites Learning to dispatch for job shop scheduling via deep reinforcement learning,.

Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts Learning to dispatch for job shop scheduling via deep reinforcement learning,

Reference 34

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Observation a1780a8a-3008-47bb-86af-dd49e95cd514 · outbound

This paper cites An End-to-End Learning Approach for Solving Capacitated Location-Routing Problems.

Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts An End-to-End Learning Approach for Solving Capacitated Location-Routing Problems

Reference 35

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Observation cc1670e3-5280-492a-becb-2acb6099d134 · outbound

This paper cites Distance-aware attention reshaping for enhancing generalization of neural solvers,.

Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts Distance-aware attention reshaping for enhancing generalization of neural solvers,

Reference 36

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Observation 9f54b6c4-adfa-4a2e-b1c1-2d36388bb64d · outbound

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

Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts Sym-nco: Leveraging symmetricity for neural combinatorial optimization,

Reference 37

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Observation b8d84d0a-f893-419c-ae26-20ce924bd003 · outbound

This paper cites Generalize learned heuristics to solve large-scale vehicle routing problems in real-time,.

Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts Generalize learned heuristics to solve large-scale vehicle routing problems in real-time,

Reference 38

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Observation eef8f954-e854-4bf9-8144-e97d0ecf0712 · outbound

This paper cites Meta-sage: Scale meta-learning scheduled adaptation with guided exploration for mitigating scale shift on combinatorial optimization,.

Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts Meta-sage: Scale meta-learning scheduled adaptation with guided exploration for mitigating scale shift on combinatorial optimization,

Reference 39

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Observation c67023be-9262-4d3f-a4ee-19ec03e98907 · outbound

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

Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts Neural combinatorial optimization with heavy decoder: Toward large scale generalization,

Reference 40

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Observation d2717feb-9972-47fc-b484-64f00df566dd · outbound

This paper cites Bq- nco: Bisimulation quotienting for generalizable neural combinatorial optimization,.

Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts Bq- nco: Bisimulation quotienting for generalizable neural combinatorial optimization,

Reference 41

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Observation 3d0f1f94-eedb-4817-a069-ad836fc4c344 · outbound

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

Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts Multi-task learning for routing problem with cross-problem zero-shot generalization,

Reference 42

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Observation 15799706-755b-4dfb-8f5f-d5c896b9d7b4 · outbound

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

Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts Mvmoe: Multi-task vehicle routing solver with mixture-of-experts,

Reference 43

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Observation f250856f-0d39-47bc-a46c-8ceebdb3b4cb · outbound

This paper cites Adaptive mixtures of local experts,.

Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts Adaptive mixtures of local experts,

Reference 44

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Observation 74c9988f-7799-48ea-b4d1-5f9d9f760f7b · outbound

This paper cites Hierarchical mixtures of experts and the em algorithm,.

Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts Hierarchical mixtures of experts and the em algorithm,

Reference 45

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source=pdf_text observed=2026-06-29T19:46:55.148691Z digest=sha256:b807171b4b4fdfd3f851abd16af3e68d94e80931c6eeff1d6168e76315421e69

Observation 6a572132-835c-4a43-be54-48cb063ea0ed · outbound

This paper cites Outrageously large neural networks: The sparsely- gated mixture-of-experts layer,.

Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts Outrageously large neural networks: The sparsely- gated mixture-of-experts layer,

Reference 46

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Observation abd8d5db-343e-497d-9cdd-db739d701403 · outbound

This paper cites Switch transformers: Scaling to trillion parameter models with simple and efficient sparsity,.

Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts Switch transformers: Scaling to trillion parameter models with simple and efficient sparsity,

Reference 47

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Observation 54c21d5e-2098-4041-935a-e58ce4ad6b05 · outbound

This paper cites Mixture-of-experts with expert choice routing,.

Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts Mixture-of-experts with expert choice routing,

Reference 48

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source=pdf_text observed=2026-06-29T19:46:55.148691Z digest=sha256:9f6927a149e2b2fe2ab1ee352d73e8d3b17c358dc97bcd528a4e904caa6bed4c

Observation 1074c244-b656-4dc7-8f8b-b3310b31c86c · outbound

This paper cites From sparse to soft mixtures of experts,.

Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts From sparse to soft mixtures of experts,

Reference 49

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Observation 161392c1-d6cb-4098-9828-1d83089bb7ff · outbound

This paper cites OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models.

Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models

Reference 50

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source=pdf_text observed=2026-06-29T19:46:55.148691Z digest=sha256:da6ed08a957f51f23842f5fd3fe8525bfc33f1e2ef861484177d8ec1c83f16a5

Observation e6f4a29e-ef7f-4627-863e-becadf4c3168 · outbound

This paper cites Base layers: Simplifying training of large, sparse models,.

Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts Base layers: Simplifying training of large, sparse models,

Reference 51

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Observation ee7739e0-3a6f-49fe-b42a-43aa2588393d · outbound

This paper cites EvoMoE: An Evolutional Mixture-of-Experts Training Framework via Dense-To-Sparse Gate.

Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts EvoMoE: An Evolutional Mixture-of-Experts Training Framework via Dense-To-Sparse Gate

Reference 52

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source=pdf_text observed=2026-06-29T19:46:55.148691Z digest=sha256:7e37f53ad1d5ed7f483e92966d34dcf6a8d0e3d2c58d24285e2d19def20c9b06

Observation 844b5e1d-5e1c-451c-8b9f-0d3e4676e47d · outbound

This paper cites End-to-end object detection with transformers,.

Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts End-to-end object detection with transformers,

Reference 53

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Observation 97109bf1-972e-48ed-ab6a-dd7ec417c940 · outbound

This paper cites Speechmoe2: Mixture-of- experts model with improved routing,.

Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts Speechmoe2: Mixture-of- experts model with improved routing,

Reference 54

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Observation 06fb9555-c865-4587-a474-ce4a51133336 · outbound

This paper cites Multimodal contrastive learning with limoe: the language-image mix- ture of experts,.

Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts Multimodal contrastive learning with limoe: the language-image mix- ture of experts,

Reference 55

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Observation 8720a6e1-8115-4d4a-bc22-8c7dff7e97eb · outbound

This paper cites Twenty years of mixture of experts,.

Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts Twenty years of mixture of experts,

Reference 56

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Observation b3e5d77b-a021-46d6-a648-e9618b0dc3c9 · outbound

This paper cites arXiv preprint arXiv:2503.07137 , year=.

Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts arXiv preprint arXiv:2503.07137 , year=

Reference 57

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Observation 1c979639-4ee9-460a-b090-d8ecf69800ac · outbound

This paper cites No free lunch theorems for optimization,.

Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts No free lunch theorems for optimization,

Reference 58

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Observation b3225b2a-f9ba-4d9c-8dce-ceb3c428ca13 · outbound

This paper cites Evolving diverse tsp instances by means of novel and creative mutation operators,.

Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts Evolving diverse tsp instances by means of novel and creative mutation operators,

Reference 59

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Observation b9543a40-73ab-475c-873e-ce437b2890df · outbound

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

Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts Simple statistical gradient-following algorithms for connectionist reinforcement learning,

Reference 60

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Observation 4b38f2a2-3606-4454-ab71-02d58c92b79f · outbound

This paper cites An extension of the lin-kernighan-helsgaun tsp solver for constrained traveling salesman and vehicle routing problems,.

Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts An extension of the lin-kernighan-helsgaun tsp solver for constrained traveling salesman and vehicle routing problems,

Reference 61

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source=pdf_text observed=2026-06-29T19:46:55.148691Z digest=sha256:b0233c0a8f80ca6c81510849fdcb22729f5e5ef468a56929764770f961ba7952

Observation 7e9a569f-d729-4230-a5b1-ca53454066c4 · outbound

This paper cites Simulation-guided beam search for neural combinatorial optimization,.

Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts Simulation-guided beam search for neural combinatorial optimization,

Reference 62

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Observation 95ab6d3a-f33e-4094-8d33-414479c59ddd · outbound

This paper cites Visualizing data using t-sne,.

Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts Visualizing data using t-sne,

Reference 63

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Observation f5aa43a2-386b-44fb-8e40-f919a43d781d · outbound

This paper cites Multi-task reinforcement learning with soft modularization,.

Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts Multi-task reinforcement learning with soft modularization,

Reference 64

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