Paper Citation Record · LEDGER

EFormer: An Effective Edge-based Transformer for Vehicle Routing Problems

As of 18 August 2026, this Paper Citation Record lists 70 of 70 outbound references and 1 inbound Pith citation observation for arXiv:2506.16428.

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

pith.paper-citation-record.v1
2506.16428 v1

Coverage vector

measured 70 of 70 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:33:25.123799Z

measured 71 of 71 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-10T17:59:33.189911Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T05:41:01.218041Z

Reference resolution

70 of 70 outbound references displayed

verified exact2
verified fuzzy49
unresolved19
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation da036277-fb05-4bde-856d-b1c8ee89de7b · outbound

This paper cites Complexity and approximation: Combinatorial optimization problems and their approximability properties.

EFormer: An Effective Edge-based Transformer for Vehicle Routing Problems Complexity and approximation: Combinatorial optimization problems and their approximability properties

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:33:29.095591Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ff9b0d84-8591-4907-a0d5-9e63af0bebb4 · outbound

This paper cites Exploratory combinatorial optimization with reinforcement learning.

EFormer: An Effective Edge-based Transformer for Vehicle Routing Problems Exploratory combinatorial optimization with reinforcement learning

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:33:29.082029Z

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Observation 7536eb08-0653-4a8a-9bfa-2a92183c7878 · outbound

This paper cites Neural combinatorial optimization with reinforcement learning.

EFormer: An Effective Edge-based Transformer for Vehicle Routing Problems Neural combinatorial optimization with reinforcement learning

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:33:29.066876Z

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Observation 37646ece-eb2d-4790-9dbc-50ebe23de5c7 · outbound

This paper cites Machine learning for combinatorial optimization: a methodological tour d’horizon.

EFormer: An Effective Edge-based Transformer for Vehicle Routing Problems Machine learning for combinatorial optimization: a methodological tour d’horizon

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:33:29.053231Z

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Observation 91bebf9f-7e67-40e2-b7c2-ea28c35230a2 · outbound

This paper cites Residual Gated Graph ConvNets.

EFormer: An Effective Edge-based Transformer for Vehicle Routing Problems Residual Gated Graph ConvNets

Reference 5

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Observation f452711b-86a0-4613-abf0-5fd6dc11cbf7 · outbound

This paper cites Principles of genetic circuit design.

EFormer: An Effective Edge-based Transformer for Vehicle Routing Problems Principles of genetic circuit design

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:33:28.974808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9c850e46-075c-42e7-a739-70ce227eda5a · outbound

This paper cites Edge-Featured Graph Attention Network.

EFormer: An Effective Edge-based Transformer for Vehicle Routing Problems Edge-Featured Graph Attention Network

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T19:33:23.182520Z

Source-reported events for the cited work

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Observation 297ea302-ff5d-4a95-af80-f1f20fea55e1 · outbound

This paper cites Learning to perform local rewriting for combinatorial optimization.

EFormer: An Effective Edge-based Transformer for Vehicle Routing Problems Learning to perform local rewriting for combinatorial optimization

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:33:28.932601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e34701db-b39e-4f9f-af11-0b88e5a980f9 · outbound

This paper cites Select and optimize: Learning to solve large-scale tsp instances.

EFormer: An Effective Edge-based Transformer for Vehicle Routing Problems Select and optimize: Learning to solve large-scale tsp instances

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:33:28.917264Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 26f750e5-46f7-4fc6-9ca2-3d623cb3ada6 · outbound

This paper cites The traveling salesman problem: a computational study.

EFormer: An Effective Edge-based Transformer for Vehicle Routing Problems The traveling salesman problem: a computational study

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T19:33:23.202705Z

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Observation 56724dc6-91cb-4221-b838-28f4f2f41732 · outbound

This paper cites A method for solving traveling-salesman problems.

EFormer: An Effective Edge-based Transformer for Vehicle Routing Problems A method for solving traveling-salesman problems

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:33:28.823356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation aa9c350d-72d1-4066-8864-0a4645e966bc · outbound

This paper cites Learning 2-opt heuristics for routing problems via deep reinforcement learning.

EFormer: An Effective Edge-based Transformer for Vehicle Routing Problems Learning 2-opt heuristics for routing problems via deep reinforcement learning

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:33:28.698338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6d374c24-7e65-4deb-8548-14b39a579041 · outbound

This paper cites Learning heuristics for the tsp by policy gradient.

EFormer: An Effective Edge-based Transformer for Vehicle Routing Problems Learning heuristics for the tsp by policy gradient

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:33:28.678095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c43990de-ea50-4575-be33-0d7187ba9fa6 · outbound

This paper cites BQ-NCO: Bisimulation Quotienting for Efficient Neural Combinatorial Optimization.

EFormer: An Effective Edge-based Transformer for Vehicle Routing Problems BQ-NCO: Bisimulation Quotienting for Efficient Neural Combinatorial Optimization

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T19:33:23.244720Z

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Observation 7aa3ff93-693e-4220-b426-bf1a60b53126 · outbound

This paper cites Optimized path planning for electric vehicle routing and charging station navigation systems.

EFormer: An Effective Edge-based Transformer for Vehicle Routing Problems Optimized path planning for electric vehicle routing and charging station navigation systems

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:33:28.565802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation bf128279-699e-4971-acb9-83b858a90b8a · outbound

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

EFormer: An Effective Edge-based Transformer for Vehicle Routing Problems Generalize a small pre-trained model to arbitrarily large tsp instances

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:33:28.496500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3635a4c8-f428-45e9-b7b5-61ffa4670e9b · outbound

This paper cites A new model for learning in graph domains.

EFormer: An Effective Edge-based Transformer for Vehicle Routing Problems A new model for learning in graph domains

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:33:28.436025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a8217e8d-180d-42de-8d4e-fcb92b450673 · outbound

This paper cites Gurobi gurobi optimizer reference manual.

EFormer: An Effective Edge-based Transformer for Vehicle Routing Problems Gurobi gurobi optimizer reference manual

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:33:28.420613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation cdd6538d-5072-47c3-973f-1f9a05dcd83e · outbound

This paper cites Deep residual learning for image recognition.

EFormer: An Effective Edge-based Transformer for Vehicle Routing Problems Deep residual learning for image recognition

Reference 19

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Source-reported events for the cited work

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Observation 8329d4e5-1283-4811-9d7c-f10ceef1d9f4 · outbound

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

EFormer: An Effective Edge-based Transformer for Vehicle Routing Problems An extension of the lin-kernighan-helsgaun tsp solver for constrained traveling salesman and vehicle routing problems

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:33:28.353692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a1e20b75-5940-49e9-a168-3daaddd7001c · outbound

This paper cites Efficient active search for combinatorial optimization problems.

EFormer: An Effective Edge-based Transformer for Vehicle Routing Problems Efficient active search for combinatorial optimization problems

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:33:28.299516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e2d44814-9f43-4279-93ef-07e52c24c50a · outbound

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

EFormer: An Effective Edge-based Transformer for Vehicle Routing Problems Rethinking light decoder-based solvers for vehicle routing problems

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-15T19:33:23.459271Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 34a6f692-d12c-4219-9fc0-5b8718a930fb · outbound

This paper cites Graph Neural Network Guided Local Search for the Traveling Salesperson Problem.

EFormer: An Effective Edge-based Transformer for Vehicle Routing Problems Graph Neural Network Guided Local Search for the Traveling Salesperson Problem

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-15T19:33:23.527832Z

Source-reported events for the cited work

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Observation 9dc1df1f-cae9-4c45-b9de-5c048111d7ef · outbound

This paper cites Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift.

EFormer: An Effective Edge-based Transformer for Vehicle Routing Problems Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-15T19:33:23.612815Z

Source-reported events for the cited work

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Observation 1dc6f5a5-37a5-4a56-939b-4c895fdf9dbc · outbound

This paper cites Edgeformers: Graph-Empowered Transformers for Representation Learning on Textual-Edge Networks.

EFormer: An Effective Edge-based Transformer for Vehicle Routing Problems Edgeformers: Graph-Empowered Transformers for Representation Learning on Textual-Edge Networks

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-08-15T19:33:25.348016Z

Source-reported events for the cited work

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Observation ab971463-3718-4912-8df9-13fbc7b24e8b · outbound

This paper cites Pointerformer: Deep reinforced multi-pointer transformer for the traveling salesman problem.

EFormer: An Effective Edge-based Transformer for Vehicle Routing Problems Pointerformer: Deep reinforced multi-pointer transformer for the traveling salesman problem

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:33:28.277629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 998089e7-74a9-4a6f-afe6-6bc7e5184635 · outbound

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

EFormer: An Effective Edge-based Transformer for Vehicle Routing Problems An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-15T19:33:23.654753Z

Source-reported events for the cited work

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Observation 6820b2ad-ff1b-4ac9-ad3e-3c57c524d5a3 · outbound

This paper cites Learning combinatorial optimization algorithms over graphs.

EFormer: An Effective Edge-based Transformer for Vehicle Routing Problems Learning combinatorial optimization algorithms over graphs

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:33:28.181430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation dabffd68-50fd-41bf-bc73-6d0681b4418b · outbound

This paper cites Learning collaborative policies to solve np-hard routing problems.

EFormer: An Effective Edge-based Transformer for Vehicle Routing Problems Learning collaborative policies to solve np-hard routing problems

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:33:28.047839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b5e8c68f-b8da-4d22-8b2e-a794d71a0b31 · outbound

This paper cites Learning to cross exchange to solve min-max vehicle routing problems.

EFormer: An Effective Edge-based Transformer for Vehicle Routing Problems Learning to cross exchange to solve min-max vehicle routing problems

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:33:27.976116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2ba2797d-7fb9-475c-9060-f5aa500c6f62 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

EFormer: An Effective Edge-based Transformer for Vehicle Routing Problems Adam: A Method for Stochastic Optimization

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-15T19:33:23.759005Z

Source-reported events for the cited work

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Observation 07faa150-fde1-45a7-848c-4dca8e4bae71 · outbound

This paper cites Semi-Supervised Classification with Graph Convolutional Networks.

EFormer: An Effective Edge-based Transformer for Vehicle Routing Problems Semi-Supervised Classification with Graph Convolutional Networks

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-15T19:33:23.829975Z

Source-reported events for the cited work

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Observation 72b3fa3c-cd95-4cf4-9a37-7ec84b500fc2 · outbound

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

EFormer: An Effective Edge-based Transformer for Vehicle Routing Problems Vehicle routing problem and related algorithms for logistics distribution: A literature review and classification

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-15T19:33:23.925642Z

Source-reported events for the cited work

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Observation 319ad957-f89e-46ef-9e03-67f80b10ca66 · outbound

This paper cites Attention, learn to solve routing problems! In ICLR , 2019.

EFormer: An Effective Edge-based Transformer for Vehicle Routing Problems Attention, learn to solve routing problems! In ICLR , 2019

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:33:27.917096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 82166b39-c320-421f-9cdf-1f870cf48b3c · outbound

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

EFormer: An Effective Edge-based Transformer for Vehicle Routing Problems Deep policy dynamic programming for vehicle routing problems

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:33:27.848632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation aaca0cd9-582c-4ba6-bf6d-f4acbcad753f · outbound

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

EFormer: An Effective Edge-based Transformer for Vehicle Routing Problems Pomo: Policy optimization with multiple optima for reinforcement learning

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:33:27.720918Z

Source-reported events for the cited work

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Observation 7804b9af-e9f3-4684-9a9d-ca32f05a7150 · outbound

This paper cites Matrix encoding networks for neural combinatorial optimization.

EFormer: An Effective Edge-based Transformer for Vehicle Routing Problems Matrix encoding networks for neural combinatorial optimization

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:33:27.606763Z

Source-reported events for the cited work

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Observation 9b5fbd57-e3f8-427c-a653-44601ff41742 · outbound

This paper cites Combinatorial optimization with graph convolutional networks and guided tree search.

EFormer: An Effective Edge-based Transformer for Vehicle Routing Problems Combinatorial optimization with graph convolutional networks and guided tree search

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:33:27.510223Z

Source-reported events for the cited work

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Observation a3e889a9-70e1-4387-b527-0a1dcc108ec9 · outbound

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

EFormer: An Effective Edge-based Transformer for Vehicle Routing Problems Learning to delegate for large-scale vehicle routing

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:33:27.357826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 47dea907-bd9b-447b-8c98-2fad376670c9 · outbound

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

EFormer: An Effective Edge-based Transformer for Vehicle Routing Problems Cross-problem learning for solving vehicle routing problems

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-15T19:33:24.154977Z

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Observation 797a28cd-ea54-4a03-952b-db272d455598 · outbound

This paper cites A great architecture for edge-based graph problems like tsp.

EFormer: An Effective Edge-based Transformer for Vehicle Routing Problems A great architecture for edge-based graph problems like tsp

Reference 41

Resolution: verified exact; raw_fallback, observed 2026-08-15T19:33:25.273111Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4ba4271a-e596-417f-9b43-ea85eea790c9 · outbound

This paper cites A learning-based iterative method for solving vehicle routing problems.

EFormer: An Effective Edge-based Transformer for Vehicle Routing Problems A learning-based iterative method for solving vehicle routing problems

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:33:27.283459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 857d7068-e776-4d35-adce-45610dc3c5d7 · outbound

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

EFormer: An Effective Edge-based Transformer for Vehicle Routing Problems Neural combinatorial optimization with heavy decoder: Toward large scale generalization

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:33:27.255471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 35e1efc2-c09f-484c-9854-7f760ab3c547 · outbound

This paper cites Learning to iteratively solve routing problems with dual-aspect collaborative transformer.

EFormer: An Effective Edge-based Transformer for Vehicle Routing Problems Learning to iteratively solve routing problems with dual-aspect collaborative transformer

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:33:27.165870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 89c33c32-c024-4c85-9958-3daa9dfb944a · outbound

This paper cites Unsupervised learning for solving the travelling salesman problem.

EFormer: An Effective Edge-based Transformer for Vehicle Routing Problems Unsupervised learning for solving the travelling salesman problem

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:33:27.147340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2ebc4659-6e11-4aa4-a7df-f5f3fad8e40e · outbound

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

EFormer: An Effective Edge-based Transformer for Vehicle Routing Problems Reinforcement learning for solving the vehicle routing problem

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:33:26.929886Z

Source-reported events for the cited work

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Observation 160e3c17-1836-4cf8-b789-8034607f454f · outbound

This paper cites A note on learning algorithms for quadratic assignment with graph neural networks.

EFormer: An Effective Edge-based Transformer for Vehicle Routing Problems A note on learning algorithms for quadratic assignment with graph neural networks

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:33:26.865981Z

Source-reported events for the cited work

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Observation 7c946167-f5ab-4841-b3ab-cb8ea1a3c534 · outbound

This paper cites Or-tools.

EFormer: An Effective Edge-based Transformer for Vehicle Routing Problems Or-tools

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:33:26.789896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 70ea7317-917e-4fd5-958e-40822e417887 · outbound

This paper cites Tsplib—a traveling salesman problem library.

EFormer: An Effective Edge-based Transformer for Vehicle Routing Problems Tsplib—a traveling salesman problem library

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:33:26.671163Z

Source-reported events for the cited work

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Observation 81dbf194-3412-412b-9fc0-c0b438d200e4 · outbound

This paper cites The graph neural network model.

EFormer: An Effective Edge-based Transformer for Vehicle Routing Problems The graph neural network model

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-15T19:33:24.516854Z

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Observation 19271e71-3f21-439c-94da-57fa7d817e92 · outbound

This paper cites On the history of combinatorial optimization (till 1960).

EFormer: An Effective Edge-based Transformer for Vehicle Routing Problems On the history of combinatorial optimization (till 1960)

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:33:26.592446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 93c4c6e6-35b8-4339-ab4f-f48d6dec3265 · outbound

This paper cites A new local search algorithm providing high quality solutions to vehicle routing problems.

EFormer: An Effective Edge-based Transformer for Vehicle Routing Problems A new local search algorithm providing high quality solutions to vehicle routing problems

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:33:26.577861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d5672081-9abe-47eb-a1da-fc7e7044050e · outbound

This paper cites Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classification.

EFormer: An Effective Edge-based Transformer for Vehicle Routing Problems Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classification

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-15T19:33:24.552756Z

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Observation a1e2d2ac-2e70-4815-b9f0-d0bb268a025a · outbound

This paper cites A general large neighborhood search framework for solving integer linear programs.

EFormer: An Effective Edge-based Transformer for Vehicle Routing Problems A general large neighborhood search framework for solving integer linear programs

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:33:26.483223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d9d3bb4c-de7d-4de4-93f5-b0877f12ae62 · outbound

This paper cites Sequence to Sequence Learning with Neural Networks.

EFormer: An Effective Edge-based Transformer for Vehicle Routing Problems Sequence to Sequence Learning with Neural Networks

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-15T19:33:24.639280Z

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Observation 8247baac-2f89-4816-8c98-03c6b6d58bc6 · outbound

This paper cites A heuristic algorithm for the symmetric and asymmetric vehicle routing problems with backhauls.

EFormer: An Effective Edge-based Transformer for Vehicle Routing Problems A heuristic algorithm for the symmetric and asymmetric vehicle routing problems with backhauls

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:33:26.437388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6122d009-7e61-4b08-8b42-1319fe08177c · outbound

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

EFormer: An Effective Edge-based Transformer for Vehicle Routing Problems New benchmark instances for the capacitated vehicle routing problem

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:33:26.296795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ac6933fe-5b3c-498a-9719-b339399a614f · outbound

This paper cites Attention is all you need.

EFormer: An Effective Edge-based Transformer for Vehicle Routing Problems Attention is all you need

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:33:26.282096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9f8a286a-2a21-4743-8da3-da1ea487adc0 · outbound

This paper cites Graph Attention Networks.

EFormer: An Effective Edge-based Transformer for Vehicle Routing Problems Graph Attention Networks

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-15T19:33:24.748400Z

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Observation 7e9d6490-b403-454e-b661-d83bae9efc89 · outbound

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

EFormer: An Effective Edge-based Transformer for Vehicle Routing Problems Hybrid genetic search for the cvrp: Open-source implementation and swap* neighborhood

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-15T19:33:24.813300Z

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Observation a41dc8af-1a05-4bad-8b6b-f004cd0f4415 · outbound

This paper cites Pointer networks.

EFormer: An Effective Edge-based Transformer for Vehicle Routing Problems Pointer networks

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:33:26.125485Z

Source-reported events for the cited work

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Observation 4ab24286-5d3c-4087-a6eb-374174a014d7 · outbound

This paper cites A bi-level framework for learning to solve combinatorial optimization on graphs.

EFormer: An Effective Edge-based Transformer for Vehicle Routing Problems A bi-level framework for learning to solve combinatorial optimization on graphs

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:33:26.108581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1aa8ca60-2fca-4c96-aab3-9342549f753a · outbound

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

EFormer: An Effective Edge-based Transformer for Vehicle Routing Problems Simple statistical gradient-following algorithms for connectionist reinforcement learning

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:33:25.978841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d07207e0-5866-4a2e-b767-9a097b569038 · outbound

This paper cites Learning improvement heuristics for solving routing problems.

EFormer: An Effective Edge-based Transformer for Vehicle Routing Problems Learning improvement heuristics for solving routing problems

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:33:25.963359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5a43ac25-02a3-471e-bdd8-2b768ff21881 · outbound

This paper cites Incorporating surprisingly popular algorithm and euclidean distance-based adaptive topology into pso.

EFormer: An Effective Edge-based Transformer for Vehicle Routing Problems Incorporating surprisingly popular algorithm and euclidean distance-based adaptive topology into pso

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:33:25.769616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6bbf6a04-6d97-4f49-a5c0-a046224796b7 · outbound

This paper cites Multi-decoder attention model with embedding glimpse for solving vehicle routing problems.

EFormer: An Effective Edge-based Transformer for Vehicle Routing Problems Multi-decoder attention model with embedding glimpse for solving vehicle routing problems

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:33:25.754528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 167257b0-df14-4649-99c6-09e49df4db20 · outbound

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

EFormer: An Effective Edge-based Transformer for Vehicle Routing Problems Neurolkh: Combining deep learning model with lin-kernighan-helsgaun heuristic for solving the traveling salesman problem

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:33:25.681965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6926cd5c-d436-4826-9388-56e81ea01cbc · outbound

This paper cites Goods consumed during transit in split delivery vehicle routing problems: Modeling and solution.

EFormer: An Effective Edge-based Transformer for Vehicle Routing Problems Goods consumed during transit in split delivery vehicle routing problems: Modeling and solution

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:33:25.572609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4575f512-0146-42e7-9fc3-c071dc5f9f63 · outbound

This paper cites Adversarial generative flow network for solving vehicle routing problems.

EFormer: An Effective Edge-based Transformer for Vehicle Routing Problems Adversarial generative flow network for solving vehicle routing problems

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:33:25.559209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 72c5b071-92c1-4bb4-b329-3b05de19938f · outbound

This paper cites write newline.

EFormer: An Effective Edge-based Transformer for Vehicle Routing Problems write newline

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-15T19:33:25.123799Z

Source-reported events for the cited work

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Pith citing papers

Observation 65207f85-dc04-4465-86ba-007d00ea5670 · inbound

A First Guess is Rarely the Final Answer: Learning to Search in the Traveling Salesperson Problem cites this paper.

A First Guess is Rarely the Final Answer: Learning to Search in the Traveling Salesperson Problem EFormer: An Effective Edge-based Transformer for Vehicle Routing Problems

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-11T05:41:01.223064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.