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Paper Citation Record · LEDGER

Self-Improving Neural Pruning: A Graph Neural Network Framework for Scalable Mixed Bundle Pricing

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.

pith.paper-citation-record.v1
2509.22557 v3

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T14:54:07.443442Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

30 of 30 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved30
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cd0fe73a-61fe-4670-8c12-4a0858507ab2 · outbound

This paper cites On the benefit (or cost) of large‐scale bundling.

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

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no resolver link, observed 2026-08-04T14:54:03.280272Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T14:54:03.280272Z digest=sha256:e4dc8fc60d9572450804aa81b456769857a7ced0ed74405e1698c71aed478744

Observation 6e3316cd-1c52-47a0-93a0-05d05e143a7f · outbound

This paper cites Large-scale bundle-size pricing: A theoretical analysis.

Self-Improving Neural Pruning: A Graph Neural Network Framework for Scalable Mixed Bundle Pricing Large-scale bundle-size pricing: A theoretical analysis

Reference 2

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no resolver link, observed 2026-08-04T14:54:03.510688Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T14:54:03.510688Z digest=sha256:2f41a1c6d3f508bb28d5b9c20e2278595b0dcdb8e6ef2769abfa7b6683756354

Observation 227263ba-888a-4ec3-ac76-c928e5d002d5 · outbound

This paper cites an unresolved cited work.

Self-Improving Neural Pruning: A Graph Neural Network Framework for Scalable Mixed Bundle Pricing Unresolved cited work

Reference 3

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no resolver link, observed 2026-08-04T14:54:03.710774Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T14:54:03.710774Z digest=sha256:ca6eeceb3c29a3cfe1b57bbd371b385485fc05128675356c2a65c50649a294d9

Observation 4bb6134c-a38e-42ce-95e2-a882a82d0163 · outbound

This paper cites Bundling information goods: Pricing, profits, and efficiency.

Self-Improving Neural Pruning: A Graph Neural Network Framework for Scalable Mixed Bundle Pricing Bundling information goods: Pricing, profits, and efficiency

Reference 4

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T14:54:03.876299Z digest=sha256:eac45b2619be91c6eecef8eef40e0f97bfbe85c7643236cb5b77083aecf55939

Observation 7ef7aac0-b0a4-409b-bc10-7f834c8a03c2 · outbound

This paper cites Elmachtoub, Michael L.

Self-Improving Neural Pruning: A Graph Neural Network Framework for Scalable Mixed Bundle Pricing Elmachtoub, Michael L

Reference 5

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T14:54:03.957462Z digest=sha256:e9689bf8295036a8655b770b82623d644ef27528444dc581595b358e7ef612c0

Observation 85e57dec-849f-4b5a-ba9c-3beb6d9f8917 · outbound

This paper cites Component pricing with a bundle size discount.

Self-Improving Neural Pruning: A Graph Neural Network Framework for Scalable Mixed Bundle Pricing Component pricing with a bundle size discount

Reference 6

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no resolver link, observed 2026-08-04T14:54:04.008473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T14:54:04.008473Z digest=sha256:0fb7f0c688fa06a90b3ed8930ca806b30231ee7bccf92bb57ff5eed55e1aafdb

Observation 6cac6604-2ff9-4086-8e42-64d38ceef185 · outbound

This paper cites On the complexity of simple and optimal deterministic mechanisms for an additive buyer.

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

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no resolver link, observed 2026-08-04T14:54:04.158837Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T14:54:04.158837Z digest=sha256:03b904994fa0bceca3d16970303330145316170fa0387feb650fa94380ecf745

Observation c8e6866a-6020-4ff4-992d-4936c50636b3 · outbound

This paper cites Bundle-size pricing as an approximation to mixed bundling.

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

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source=arxiv_source observed=2026-08-04T14:54:04.342023Z digest=sha256:1a68321672ad04c624ca8d0f19351b12662d5a337274861a3a82e6820827e625

Observation 0fd42fb7-e94a-4991-8d4b-2d19e0666732 · outbound

This paper cites Accelerating primal solution findings for mixed integer programs based on solution prediction.

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

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source=arxiv_source observed=2026-08-04T14:54:04.522386Z digest=sha256:8ed01c868976ab9cb19d2f6b9de4a024a75c88cccac57843938287dab2816785

Observation 428102ef-81fd-4b86-8c8c-70a7dabd7f30 · outbound

This paper cites Smart initial basis selection for linear programs.

Self-Improving Neural Pruning: A Graph Neural Network Framework for Scalable Mixed Bundle Pricing Smart initial basis selection for linear programs

Reference 10

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no resolver link, observed 2026-08-04T14:54:04.737225Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T14:54:04.737225Z digest=sha256:d3c7d85490c252c1798a33b20431ec98ce30175045c651e421cc271c0fcac442

Observation ed0d3caf-cc05-4250-8929-9235a3b90cda · outbound

This paper cites Exact combinatorial optimization with graph convolutional neural networks.

Self-Improving Neural Pruning: A Graph Neural Network Framework for Scalable Mixed Bundle Pricing Exact combinatorial optimization with graph convolutional neural networks

Reference 11

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source=arxiv_source observed=2026-08-04T14:54:04.888269Z digest=sha256:b458f175429929684e99d78c1e9acf54b8305e979013a7fff254471be65deeab

Observation 7a97e90e-0d63-4648-a740-3c181ce15f39 · outbound

This paper cites Digital media market size, share & growth report, 2023.

Self-Improving Neural Pruning: A Graph Neural Network Framework for Scalable Mixed Bundle Pricing Digital media market size, share & growth report, 2023

Reference 12

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source=arxiv_source observed=2026-08-04T14:54:05.161312Z digest=sha256:9b781108219c5ca87cdde2ccf64d0b33754fc0cbad05e06602a196c6f57afd60

Observation 46143718-4e85-46f3-9152-429015c962d1 · outbound

This paper cites Lookback for Learning to Branch.

Self-Improving Neural Pruning: A Graph Neural Network Framework for Scalable Mixed Bundle Pricing Lookback for Learning to Branch

Reference 13

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source=arxiv_source observed=2026-08-04T14:54:05.379392Z digest=sha256:b28c9933e08dbab58ef24c2e98b760bb83c7b0db96b75760170ee1f83dca1f88

Observation dabe996e-2a14-45fd-ab33-67c4b379e64b · outbound

This paper cites Kipp Martin.

Self-Improving Neural Pruning: A Graph Neural Network Framework for Scalable Mixed Bundle Pricing Kipp Martin

Reference 14

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source=arxiv_source observed=2026-08-04T14:54:05.469566Z digest=sha256:ae4ed0fbe8c1f865928c76edd1543d77b089b80fc241877d71d8926193e9d1b8

Observation e9b931ff-2299-4221-b66b-47536cb68078 · outbound

This paper cites Hitt and Pei-yu Chen.

Self-Improving Neural Pruning: A Graph Neural Network Framework for Scalable Mixed Bundle Pricing Hitt and Pei-yu Chen

Reference 15

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source=arxiv_source observed=2026-08-04T14:54:05.628008Z digest=sha256:247609af8727b2ffac2ae7772103e170dde734819989fbb2ede72ea1548b0477

Observation ae6baef0-bf57-4de7-b9fb-44af6765dacd · outbound

This paper cites Attention, Learn to Solve Routing Problems!.

Self-Improving Neural Pruning: A Graph Neural Network Framework for Scalable Mixed Bundle Pricing Attention, Learn to Solve Routing Problems!

Reference 16

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no resolver link, observed 2026-08-04T14:54:05.739532Z

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source=arxiv_source observed=2026-08-04T14:54:05.739532Z digest=sha256:f0c57a2570c3d3e5a0740fc8ef93b550b53117f45126f8de148dfa80d84a64d1

Observation f68bbcd7-4a18-4b96-a88e-f372e6b61b5f · outbound

This paper cites From small to large: A graph convolutional network approach for solving assortment optimization problems.

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

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source=arxiv_source observed=2026-08-04T14:54:05.882113Z digest=sha256:dec4406f03c8af52a00ebc338360b0c32c76f9242acfd124c0dc7f1ba7919f22

Observation 9abd374c-a75d-45a0-8762-855740ba5765 · outbound

This paper cites Convex optimization for the bundle size pricing problem.

Self-Improving Neural Pruning: A Graph Neural Network Framework for Scalable Mixed Bundle Pricing Convex optimization for the bundle size pricing problem

Reference 18

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T14:54:05.953676Z digest=sha256:56c93fc41a8a102e07052e9b50065eb5b7fde1cbe804b97203423334bddf44fa

Observation 7b99e8bf-49f0-4ca6-adbd-28d23c8015e7 · outbound

This paper cites Learning to pivot as a smart expert.

Self-Improving Neural Pruning: A Graph Neural Network Framework for Scalable Mixed Bundle Pricing Learning to pivot as a smart expert

Reference 19

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source=arxiv_source observed=2026-08-04T14:54:06.195819Z digest=sha256:ab3daf05d2707a0e0c7dece09bc4f82693ed20ad4b11e415acc4d4027ee30a9f

Observation 67fa4701-127d-42ae-abd5-b9b1403d95ff · outbound

This paper cites Reaping the benefits of bundling under high production costs.

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

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source=arxiv_source observed=2026-08-04T14:54:06.350952Z digest=sha256:53a1ef3694e7b27323143005b898591d56e1945a4149ee6b32351654d4d643ac

Observation 30c8aecc-4c10-4a9a-b422-5cd64bcf094e · outbound

This paper cites Inside Amazon’s Prime playbook: How the subscription giant chooses what benefits to add next , 2024.

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

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source=arxiv_source observed=2026-08-04T14:54:06.482985Z digest=sha256:2637b6a52b7e00d4d83eccdbf36ae867011f9171a34555ad0a79c80dc062275f

Observation 30a50e5f-0ea5-44d3-897b-7e9963dee019 · outbound

This paper cites Solving Mixed Integer Programs Using Neural Networks.

Self-Improving Neural Pruning: A Graph Neural Network Framework for Scalable Mixed Bundle Pricing Solving Mixed Integer Programs Using Neural Networks

Reference 22

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source=arxiv_source observed=2026-08-04T14:54:06.551640Z digest=sha256:f71e39bdc51ed70efe1d6960a2089518b847edd8cd35b41dc62e5b6669cb1439

Observation 27d90341-3356-44a6-8d7d-2538d1acc9e2 · outbound

This paper cites Learning to dive in branch and bound.

Self-Improving Neural Pruning: A Graph Neural Network Framework for Scalable Mixed Bundle Pricing Learning to dive in branch and bound

Reference 23

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source=arxiv_source observed=2026-08-04T14:54:06.614351Z digest=sha256:0f152c346bb610b3a0deb1d3c1a68f3e9b3f7588279df6165c85091f5faed025

Observation ca5862b0-fdae-4d34-9f29-4d1f7baaf7b3 · outbound

This paper cites Gaussian demand and commodity bundling.

Self-Improving Neural Pruning: A Graph Neural Network Framework for Scalable Mixed Bundle Pricing Gaussian demand and commodity bundling

Reference 24

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source=arxiv_source observed=2026-08-04T14:54:06.677791Z digest=sha256:07063ef68ed2ce145fac838f50809dd8f0657e8747618680da87fe1480dba311

Observation d3db182f-3380-47df-81b9-91ac21b0469a · outbound

This paper cites Learning a Large Neighborhood Search Algorithm for Mixed Integer Programs.

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

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source=arxiv_source observed=2026-08-04T14:54:06.742717Z digest=sha256:35848653251743534a306db59d544d35641a8ed25a4e7e05bcc4b0735b901e37

Observation 4bc9c566-589a-471e-a12e-319c1958b88a · outbound

This paper cites an unresolved cited work.

Self-Improving Neural Pruning: A Graph Neural Network Framework for Scalable Mixed Bundle Pricing Unresolved cited work

Reference 26

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T14:54:06.830229Z digest=sha256:b43b69bc08a9b7dc0ac9cd5f1cd9f26a9b6164114a39b455af1c892fc81ed06b

Observation 679147ae-cb80-467e-9cb1-9b601f7944a9 · outbound

This paper cites write newline.

Self-Improving Neural Pruning: A Graph Neural Network Framework for Scalable Mixed Bundle Pricing write newline

Reference 27

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source=arxiv_source observed=2026-08-04T14:54:06.996733Z digest=sha256:8a695bbcf9f55c27a8145513f4424ba103e74a83239e8d17d16c17b0cbbb92fe

Observation 28027964-68a6-4ba2-a726-cccff3db55bc · outbound

This paper cites @esa (Ref.

Self-Improving Neural Pruning: A Graph Neural Network Framework for Scalable Mixed Bundle Pricing @esa (Ref

Reference 28

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source=arxiv_source observed=2026-08-04T14:54:07.110260Z digest=sha256:9852530da4a8672df24c2f4e7a51e97a013c05227b0d6566551911bc8f31b18a

Observation 73339186-d7de-4aa4-923e-fd4585715707 · outbound

This paper cites an unresolved cited work.

Self-Improving Neural Pruning: A Graph Neural Network Framework for Scalable Mixed Bundle Pricing Unresolved cited work

Reference 29

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source=arxiv_source observed=2026-08-04T14:54:07.254126Z digest=sha256:1abe7d795f06fc3435cf9fba7a66972daa910eabf77be1ac533709acdbeae173

Observation fa06d2e0-b8bc-444a-9f75-b65385c562d5 · outbound

This paper cites an unresolved cited work.

Self-Improving Neural Pruning: A Graph Neural Network Framework for Scalable Mixed Bundle Pricing Unresolved cited work

Reference 30

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source=arxiv_source observed=2026-08-04T14:54:07.443442Z digest=sha256:cbcdd04b68ff750f210997f272bca356987483175e2bf245820c96c526d9edf0

Pith citing papers

No inbound Pith citation observations are available.