Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-04T14:54:07.443442Z
Paper Citation Record · LEDGER
As of 10 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2509.22557.
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 2026-08-04T14:54:07.443442Z
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
30 of 30 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation cd0fe73a-61fe-4670-8c12-4a0858507ab2 · outbound
Self-Improving Neural Pruning: A Graph Neural Network Framework for Scalable Mixed Bundle Pricing On the benefit (or cost) of large‐scale bundling
Reference 1
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6e3316cd-1c52-47a0-93a0-05d05e143a7f · outbound
Self-Improving Neural Pruning: A Graph Neural Network Framework for Scalable Mixed Bundle Pricing Large-scale bundle-size pricing: A theoretical analysis
Reference 2
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 227263ba-888a-4ec3-ac76-c928e5d002d5 · outbound
Self-Improving Neural Pruning: A Graph Neural Network Framework for Scalable Mixed Bundle Pricing Unresolved cited work
Reference 3
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4bb6134c-a38e-42ce-95e2-a882a82d0163 · outbound
Self-Improving Neural Pruning: A Graph Neural Network Framework for Scalable Mixed Bundle Pricing Bundling information goods: Pricing, profits, and efficiency
Reference 4
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7ef7aac0-b0a4-409b-bc10-7f834c8a03c2 · outbound
Self-Improving Neural Pruning: A Graph Neural Network Framework for Scalable Mixed Bundle Pricing Elmachtoub, Michael L
Reference 5
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 85e57dec-849f-4b5a-ba9c-3beb6d9f8917 · outbound
Self-Improving Neural Pruning: A Graph Neural Network Framework for Scalable Mixed Bundle Pricing Component pricing with a bundle size discount
Reference 6
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6cac6604-2ff9-4086-8e42-64d38ceef185 · outbound
Self-Improving Neural Pruning: A Graph Neural Network Framework for Scalable Mixed Bundle Pricing On the complexity of simple and optimal deterministic mechanisms for an additive buyer
Reference 7
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c8e6866a-6020-4ff4-992d-4936c50636b3 · outbound
Self-Improving Neural Pruning: A Graph Neural Network Framework for Scalable Mixed Bundle Pricing Bundle-size pricing as an approximation to mixed bundling
Reference 8
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0fd42fb7-e94a-4991-8d4b-2d19e0666732 · outbound
Self-Improving Neural Pruning: A Graph Neural Network Framework for Scalable Mixed Bundle Pricing Accelerating primal solution findings for mixed integer programs based on solution prediction
Reference 9
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 428102ef-81fd-4b86-8c8c-70a7dabd7f30 · outbound
Self-Improving Neural Pruning: A Graph Neural Network Framework for Scalable Mixed Bundle Pricing Smart initial basis selection for linear programs
Reference 10
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ed0d3caf-cc05-4250-8929-9235a3b90cda · outbound
Self-Improving Neural Pruning: A Graph Neural Network Framework for Scalable Mixed Bundle Pricing Exact combinatorial optimization with graph convolutional neural networks
Reference 11
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7a97e90e-0d63-4648-a740-3c181ce15f39 · outbound
Self-Improving Neural Pruning: A Graph Neural Network Framework for Scalable Mixed Bundle Pricing Digital media market size, share & growth report, 2023
Reference 12
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 46143718-4e85-46f3-9152-429015c962d1 · outbound
Self-Improving Neural Pruning: A Graph Neural Network Framework for Scalable Mixed Bundle Pricing Lookback for Learning to Branch
Reference 13
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dabe996e-2a14-45fd-ab33-67c4b379e64b · outbound
Self-Improving Neural Pruning: A Graph Neural Network Framework for Scalable Mixed Bundle Pricing Kipp Martin
Reference 14
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e9b931ff-2299-4221-b66b-47536cb68078 · outbound
Self-Improving Neural Pruning: A Graph Neural Network Framework for Scalable Mixed Bundle Pricing Hitt and Pei-yu Chen
Reference 15
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ae6baef0-bf57-4de7-b9fb-44af6765dacd · outbound
Self-Improving Neural Pruning: A Graph Neural Network Framework for Scalable Mixed Bundle Pricing Attention, Learn to Solve Routing Problems!
Reference 16
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f68bbcd7-4a18-4b96-a88e-f372e6b61b5f · outbound
Self-Improving Neural Pruning: A Graph Neural Network Framework for Scalable Mixed Bundle Pricing From small to large: A graph convolutional network approach for solving assortment optimization problems
Reference 17
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9abd374c-a75d-45a0-8762-855740ba5765 · outbound
Self-Improving Neural Pruning: A Graph Neural Network Framework for Scalable Mixed Bundle Pricing Convex optimization for the bundle size pricing problem
Reference 18
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7b99e8bf-49f0-4ca6-adbd-28d23c8015e7 · outbound
Self-Improving Neural Pruning: A Graph Neural Network Framework for Scalable Mixed Bundle Pricing Learning to pivot as a smart expert
Reference 19
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 67fa4701-127d-42ae-abd5-b9b1403d95ff · outbound
Self-Improving Neural Pruning: A Graph Neural Network Framework for Scalable Mixed Bundle Pricing Reaping the benefits of bundling under high production costs
Reference 20
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 30c8aecc-4c10-4a9a-b422-5cd64bcf094e · outbound
Self-Improving Neural Pruning: A Graph Neural Network Framework for Scalable Mixed Bundle Pricing Inside Amazon’s Prime playbook: How the subscription giant chooses what benefits to add next , 2024
Reference 21
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 30a50e5f-0ea5-44d3-897b-7e9963dee019 · outbound
Self-Improving Neural Pruning: A Graph Neural Network Framework for Scalable Mixed Bundle Pricing Solving Mixed Integer Programs Using Neural Networks
Reference 22
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 27d90341-3356-44a6-8d7d-2538d1acc9e2 · outbound
Self-Improving Neural Pruning: A Graph Neural Network Framework for Scalable Mixed Bundle Pricing Learning to dive in branch and bound
Reference 23
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ca5862b0-fdae-4d34-9f29-4d1f7baaf7b3 · outbound
Self-Improving Neural Pruning: A Graph Neural Network Framework for Scalable Mixed Bundle Pricing Gaussian demand and commodity bundling
Reference 24
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d3db182f-3380-47df-81b9-91ac21b0469a · outbound
Self-Improving Neural Pruning: A Graph Neural Network Framework for Scalable Mixed Bundle Pricing Learning a Large Neighborhood Search Algorithm for Mixed Integer Programs
Reference 25
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4bc9c566-589a-471e-a12e-319c1958b88a · outbound
Self-Improving Neural Pruning: A Graph Neural Network Framework for Scalable Mixed Bundle Pricing Unresolved cited work
Reference 26
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 679147ae-cb80-467e-9cb1-9b601f7944a9 · outbound
Self-Improving Neural Pruning: A Graph Neural Network Framework for Scalable Mixed Bundle Pricing write newline
Reference 27
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 28027964-68a6-4ba2-a726-cccff3db55bc · outbound
Self-Improving Neural Pruning: A Graph Neural Network Framework for Scalable Mixed Bundle Pricing @esa (Ref
Reference 28
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 73339186-d7de-4aa4-923e-fd4585715707 · outbound
Self-Improving Neural Pruning: A Graph Neural Network Framework for Scalable Mixed Bundle Pricing Unresolved cited work
Reference 29
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fa06d2e0-b8bc-444a-9f75-b65385c562d5 · outbound
Self-Improving Neural Pruning: A Graph Neural Network Framework for Scalable Mixed Bundle Pricing Unresolved cited work
Reference 30
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
No inbound Pith citation observations are available.