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Paper Citation Record · LEDGER

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

As of 20 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 2026-08-20T06:33:59.587034+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=sha256:4a4fca953b2ce7386867cbab1f64679c6401810e82a2e0cb3257131e7995f78e

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T14:54:03.510688Z digest=sha256:50c77101b06522e94bd34137eed343c013c41992853436a8cbaa21e92d22ab9a

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=sha256:762344acb6330811d2a9398057b3a3dcec7beec2e9048ee18c4a665e427a1dc7

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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no resolver link, observed 2026-08-04T14:54:03.876299Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T14:54:03.876299Z digest=sha256:123b14864700c1379a73ba5f251526d15720c1454dbc9db239ab034423e37f28

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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no resolver link, observed 2026-08-04T14:54:03.957462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T14:54:03.957462Z digest=sha256:fac07ba55f1b7d13b2fe6f0e15f6f69eb70e681f930bb3ca7724a93f0ba5590c

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:c0777c9105113dc8ce2aa8bc370489b12d731205fb62fc97dca4f7743fbe9ce4

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=sha256:3b7c5b9cdeb416dbe3c2e28a2b6f6ad908c39c22036edfa1c06d6ccf2e8c60f2

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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no resolver link, observed 2026-08-04T14:54:04.342023Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T14:54:04.342023Z digest=sha256:3f87896561fcdbc698fad8767a809a545122418c1d5b291c392b6f5a0230ec8a

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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no resolver link, observed 2026-08-04T14:54:04.522386Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T14:54:04.522386Z digest=sha256:48e8cbe1ba7f34e2e487994d6be215e06f61666411c06797b1eb9be1ea9f4b37

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=sha256:71aed1a6cbe725c09d64307ad437b9e19b406059688e35367e6374249c55e081

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T14:54:04.888269Z digest=sha256:f3af2c5be78712380596a590c27e11d5c3e3fc81b94ae0c6b0eb366ad59d2252

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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no resolver link, observed 2026-08-04T14:54:05.161312Z

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source=arxiv_source observed=2026-08-04T14:54:05.161312Z digest=sha256:e16e9b25781c90a1384910bb577ceadd03535071119c1d4c4109c41f83e82439

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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no resolver link, observed 2026-08-04T14:54:05.379392Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T14:54:05.379392Z digest=sha256:02cac37dd10a59647d7881d3ee791fb542a8b4047c0bb279a5fe61e66fd4a7b2

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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no resolver link, observed 2026-08-04T14:54:05.469566Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T14:54:05.469566Z digest=sha256:aa870f72ea20b04c0bdef0b93b5bc7a42444ddce305188b3274e9ae5e61c782c

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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no resolver link, observed 2026-08-04T14:54:05.628008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T14:54:05.628008Z digest=sha256:933b6c54c4b06adec4537ac925e50589c98e2223614ef696f98fd6abcf61786f

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T14:54:05.739532Z digest=sha256:44f4054c28cf92f2b1f7c5d16fdc4cfe2331b6562c941fd84c76538210bc3fe9

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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no resolver link, observed 2026-08-04T14:54:05.882113Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T14:54:05.882113Z digest=sha256:d560ef9d0866bc79976ed0bfe6a8b06d86dff404df437a4b646084f09b32c712

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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no resolver link, observed 2026-08-04T14:54:05.953676Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-04T14:54:05.953676Z digest=sha256:7f48f34fb1332e0f298eec1507f3f869d3607943de2a2921950fedd511d7f641

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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no resolver link, observed 2026-08-04T14:54:06.195819Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T14:54:06.195819Z digest=sha256:647018f868f78e76a58000411f28a427b90cdd721dad97837237457fab0ede68

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=sha256:858c6b988601b14af002a0eee0085720b2d68f4fdf74431ce71b50a322093b36

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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no resolver link, observed 2026-08-04T14:54:06.482985Z

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source=arxiv_source observed=2026-08-04T14:54:06.482985Z digest=sha256:cc85d60cccbb5787b718a7af70de03cff042049d2b70fbe75da0ccd17b6e0e39

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:c0e4b350f2012e34441c7c6e00235012dbdcc93d48babd82c9a4291168a9ba92

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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no resolver link, observed 2026-08-04T14:54:06.614351Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T14:54:06.614351Z digest=sha256:0ad05c7b1bd0a5ac34ce8e1740e10f19780d9124974a404bf46c844730471f9c

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T14:54:06.677791Z digest=sha256:dbdd9d5bc470879ec3a97f4951893df4aa8f1a564c9aa571954558e0f6d346a5

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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no resolver link, observed 2026-08-04T14:54:06.742717Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T14:54:06.742717Z digest=sha256:05c0ee1928385b13b4d8a0331bc0ae4194b3ad5f8d0f329865e6b2a0a00ad19a

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:bc339394845ee154ead38717e6828631a11708d00c6ccab061730f8146754447

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:e4f4a4903bfe13d7bc625cb71b253bb90f197288ee8c1fa23c933318c357a950

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:b55b89ba89f3c01d2e2feb13219711f21b50a95176181fc6a109dfaacfad24b1

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T14:54:07.254126Z digest=sha256:04ad0e8a3ba487cb0e4aec90444decb86423942cfea888e2f8a824d622c08ecc

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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no resolver link, observed 2026-08-04T14:54:07.443442Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T14:54:07.443442Z digest=sha256:70a073ef4acc22d6a20fae05e63f5ce91c92402bf84d1cf1dd7c8d7e0c6750f7

Pith citing papers

No inbound Pith citation observations are available.