Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-04T00:55:09.100966Z
Paper Citation Record · LEDGER
As of 10 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2608.00270.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-04T00:55:09.100966Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
32 of 32 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 3b5896b0-8f92-4332-a08d-ef106c0d52f1 · outbound
Geometric Self-Supervised Pre-training for Neural Combinatorial Optimization Neural Combinatorial Optimization with Heavy Decoder: Toward Large Scale Generalization
Reference 1
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Observation 4ba9787b-424a-48b6-8d34-35733989e331 · outbound
Geometric Self-Supervised Pre-training for Neural Combinatorial Optimization Attention, learn to solve routing problems! InInternational Conference on Learning Representations, 2019
Reference 2
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Observation 0ea47f14-bd67-4d01-8e40-49ee6e2039e3 · outbound
Geometric Self-Supervised Pre-training for Neural Combinatorial Optimization RRNCO: Towards real-world routing with neural combinatorial optimization
Reference 3
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Observation e4927390-34fc-4527-bf7f-9fffc7049f93 · outbound
Geometric Self-Supervised Pre-training for Neural Combinatorial Optimization Toutanova
Reference 4
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Observation aa9adc47-be04-42f3-a62d-e4bdb96a1548 · outbound
Geometric Self-Supervised Pre-training for Neural Combinatorial Optimization Masked autoencoders are scalable vision learners
Reference 5
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Observation 61a95f5e-2734-4a6b-b851-ff433d887daf · outbound
Geometric Self-Supervised Pre-training for Neural Combinatorial Optimization Graphmae2: A decoding-enhanced masked self-supervised graph learner
Reference 6
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Observation 7a97d52b-1b10-4c43-a8ee-28b99a80f5bd · outbound
Geometric Self-Supervised Pre-training for Neural Combinatorial Optimization Hamilton, Pietro Liò, Yoshua Bengio, and R Devon Hjelm
Reference 7
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Observation 6b139d3c-0718-4cb8-9c7d-1d710bf15a6b · outbound
Geometric Self-Supervised Pre-training for Neural Combinatorial Optimization Graph contrastive learning automated
Reference 8
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Observation 38b4add7-e8f9-4b35-bb03-54cb71355245 · outbound
Geometric Self-Supervised Pre-training for Neural Combinatorial Optimization Applegate, Robert E
Reference 9
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Observation 40afd504-2bfe-46c5-ad1f-26f82c301614 · outbound
Geometric Self-Supervised Pre-training for Neural Combinatorial Optimization Morrison, Sheldon H
Reference 10
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Observation 7ac8f6b8-eba0-4786-b96a-d93d1631347c · outbound
Geometric Self-Supervised Pre-training for Neural Combinatorial Optimization An extension of the lin-kernighan-helsgaun tsp solver for constrained traveling salesman and vehicle routing problems: Technical report
Reference 11
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Observation 9f6e9ffd-3177-449d-99d9-d2badbcc32af · outbound
Geometric Self-Supervised Pre-training for Neural Combinatorial Optimization Unresolved cited work
Reference 12
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Observation ca9cdffb-bf08-4653-94c9-d515903344fe · outbound
Geometric Self-Supervised Pre-training for Neural Combinatorial Optimization Unresolved cited work
Reference 13
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Observation 24648818-0cea-4112-a54c-62611954d7e5 · outbound
Geometric Self-Supervised Pre-training for Neural Combinatorial Optimization Pointer networks
Reference 14
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Observation 64a27c47-ffd8-4fcf-a4fd-c237929d2123 · outbound
Geometric Self-Supervised Pre-training for Neural Combinatorial Optimization Kipf and Max Welling
Reference 15
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Observation 6d14cfa4-2f65-4c1b-9568-50825dfc33e3 · outbound
Geometric Self-Supervised Pre-training for Neural Combinatorial Optimization Graph attention networks, 2018
Reference 16
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Observation 1b9c011b-bbcc-4b49-a883-6d0fe3be8ae5 · outbound
Geometric Self-Supervised Pre-training for Neural Combinatorial Optimization Gated graph sequence neural networks, 2017
Reference 17
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Observation b209f87b-1e83-4ef8-9a92-9452b86ed9ab · outbound
Geometric Self-Supervised Pre-training for Neural Combinatorial Optimization Joshi, Quentin Cappart, Louis-Martin Rousseau, and Thomas Laurent
Reference 18
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Observation ca788509-58cf-4a37-8da9-7e4bdf58f12b · outbound
Geometric Self-Supervised Pre-training for Neural Combinatorial Optimization Graphmae: Self-supervised masked graph autoencoders
Reference 19
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Observation d457d199-e99d-4596-9458-e21eb69e789e · outbound
Geometric Self-Supervised Pre-training for Neural Combinatorial Optimization Self-supervised graph representation learning via topology transformations
Reference 20
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Observation a8a83b20-eed2-47b8-96c7-5a925264c970 · outbound
Geometric Self-Supervised Pre-training for Neural Combinatorial Optimization Graph contrastive learning with personalized augmentation
Reference 21
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Observation 83012cd0-1235-47fd-a34a-1e9c71c95a0b · outbound
Geometric Self-Supervised Pre-training for Neural Combinatorial Optimization Unresolved cited work
Reference 22
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Observation 034d50b0-f028-459c-832c-54df1f59312e · outbound
Geometric Self-Supervised Pre-training for Neural Combinatorial Optimization Multi-scale self- supervised graph contrastive learning with injective node augmentation.IEEE Transactions on Knowledge and Data Engineering, 36(1):261–274, January 2024
Reference 23
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Observation e3e5c3bc-8330-4f9f-a41d-f0efc770d92c · outbound
Geometric Self-Supervised Pre-training for Neural Combinatorial Optimization Unresolved cited work
Reference 24
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Observation 9f854bd5-c370-4263-a767-77f854192d26 · outbound
Geometric Self-Supervised Pre-training for Neural Combinatorial Optimization Data augmentation on graphs: A technical survey.ACM Comput
Reference 25
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Observation a303a09a-a203-4e8b-8b96-7babca0a30db · outbound
Geometric Self-Supervised Pre-training for Neural Combinatorial Optimization Unresolved cited work
Reference 26
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Observation efa1a3ea-47b1-40b3-973a-a2f6ee12bf98 · outbound
Geometric Self-Supervised Pre-training for Neural Combinatorial Optimization On layer normalization in the transformer architecture
Reference 27
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Observation 0fae2b79-3db2-4605-99ee-16391a766ee4 · outbound
Geometric Self-Supervised Pre-training for Neural Combinatorial Optimization A simple framework for contrastive learning of visual representations
Reference 28
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Observation ba39a198-c0f0-41d6-a330-f02af8daa89a · outbound
Geometric Self-Supervised Pre-training for Neural Combinatorial Optimization Householder
Reference 29
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Observation 3af9eeee-3342-4fec-af62-3b3a7a67151c · outbound
Geometric Self-Supervised Pre-training for Neural Combinatorial Optimization Contrastive difference predictive coding
Reference 30
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Observation 5e44f48c-1b71-4381-8ce0-10440942b657 · outbound
Geometric Self-Supervised Pre-training for Neural Combinatorial Optimization White and Douglas J
Reference 31
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Observation 1a316c8d-efb5-486a-b386-027c5e3b51a2 · outbound
Geometric Self-Supervised Pre-training for Neural Combinatorial Optimization Williams
Reference 32
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No inbound Pith citation observations are available.