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Paper Citation Record · LEDGER

Large-Scale Network Utility Maximization via GPU-Accelerated Proximal Message Passing

As of 19 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2509.10722.

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

pith.paper-citation-record.v1
2509.10722 v1

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T17:39:51.866982Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

19 of 19 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f0a6c812-7ba8-4603-a427-be58a1f5c0ea · outbound

This paper cites Rate control for communication networks: shadow prices, proportional fairness and stability,.

Large-Scale Network Utility Maximization via GPU-Accelerated Proximal Message Passing Rate control for communication networks: shadow prices, proportional fairness and stability,

Reference 1

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Unavailable: canonical work link unavailable.

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Observation 29966f12-0032-4fd8-9713-f3d66272aa94 · outbound

This paper cites Maximizing Network Utility of Rechargeable Sensor Networks With Spatiotem- porally Coupled Constraints,.

Large-Scale Network Utility Maximization via GPU-Accelerated Proximal Message Passing Maximizing Network Utility of Rechargeable Sensor Networks With Spatiotem- porally Coupled Constraints,

Reference 2

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source=pdf_text observed=2026-08-04T17:39:50.576366Z digest=sha256:dc6ab11f1b9fa4b9c3d9b524003715df4147963b655e625c0a7d06077a67bd8d

Observation 96615ebb-b7a7-4611-99a1-c00e009798d1 · outbound

This paper cites A utility optimization approach to network cache design,.

Large-Scale Network Utility Maximization via GPU-Accelerated Proximal Message Passing A utility optimization approach to network cache design,

Reference 3

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Observation 94095495-95bb-429d-8ad1-40066e5ef290 · outbound

This paper cites Maximizing network utility while considering proportional fairness for rail transit sys- tems: Jointly optimizing passenger allocation and vehicle schedules,.

Large-Scale Network Utility Maximization via GPU-Accelerated Proximal Message Passing Maximizing network utility while considering proportional fairness for rail transit sys- tems: Jointly optimizing passenger allocation and vehicle schedules,

Reference 4

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Observation 81683d06-1797-4b03-9171-acd8d88c706e · outbound

This paper cites Network Optimization and Control,.

Large-Scale Network Utility Maximization via GPU-Accelerated Proximal Message Passing Network Optimization and Control,

Reference 5

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Observation 673e00d0-34cb-4d58-8ecc-f7fd7a9d2559 · outbound

This paper cites An Interior-Point Method for Large Scale Network Utility Maximization,.

Large-Scale Network Utility Maximization via GPU-Accelerated Proximal Message Passing An Interior-Point Method for Large Scale Network Utility Maximization,

Reference 6

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:39:50.900449Z digest=sha256:6f254587fbec43d90cfdb9aafb34a828c150ee09ead0988b71d7faafbf7482c3

Observation 7777bcee-2b3f-4497-8e26-37b2763dbb96 · outbound

This paper cites A Distributed Newton Method for Network Utility Maximization–I: Algorithm,.

Large-Scale Network Utility Maximization via GPU-Accelerated Proximal Message Passing A Distributed Newton Method for Network Utility Maximization–I: Algorithm,

Reference 7

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source=pdf_text observed=2026-08-04T17:39:50.957180Z digest=sha256:703cc512466a33addc2ea914a1713ff5a1252ea4e78792c91ccc4673e6a47df4

Observation ec4ae2fc-659f-42b9-a09d-d319e6b6418d · outbound

This paper cites A tutorial on decomposition methods for network utility maximization,.

Large-Scale Network Utility Maximization via GPU-Accelerated Proximal Message Passing A tutorial on decomposition methods for network utility maximization,

Reference 8

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source=pdf_text observed=2026-08-04T17:39:51.039331Z digest=sha256:0d68e20a720a3dda1fbf5a9b39a61906f3f9f578823f038cc474f66b54cc1a4e

Observation db9a523c-8e10-4f12-9b6c-ddbdc3c68231 · outbound

This paper cites Dis- tributed large scale network utility maximization,.

Large-Scale Network Utility Maximization via GPU-Accelerated Proximal Message Passing Dis- tributed large scale network utility maximization,

Reference 9

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source=pdf_text observed=2026-08-04T17:39:51.093249Z digest=sha256:29d5e71c62ddf12fc2cb4820c9a3bea14022ae7e67345987352ea28e9abff5b0

Observation c9030ca5-ad54-41db-8a1a-4a061f5528ad · outbound

This paper cites MOSEK Optimizer API for Python,.

Large-Scale Network Utility Maximization via GPU-Accelerated Proximal Message Passing MOSEK Optimizer API for Python,

Reference 10

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source=pdf_text observed=2026-08-04T17:39:51.148345Z digest=sha256:7629c3bfec676e0627bcc941ea5fa82bea1fd77ccc45062c5601750154a3adb5

Observation a9d2cd41-295d-4345-8284-e95eba88f11d · outbound

This paper cites CuClarabel: GPU Acceleration for a Conic Optimization Solver,.

Large-Scale Network Utility Maximization via GPU-Accelerated Proximal Message Passing CuClarabel: GPU Acceleration for a Conic Optimization Solver,

Reference 11

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Observation 75b19f7b-3eaa-4cfa-8708-9918bf1f0f3f · outbound

This paper cites Practical Large-Scale Linear Programming using Primal-Dual Hybrid Gradient,.

Large-Scale Network Utility Maximization via GPU-Accelerated Proximal Message Passing Practical Large-Scale Linear Programming using Primal-Dual Hybrid Gradient,

Reference 12

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source=pdf_text observed=2026-08-04T17:39:51.295230Z digest=sha256:c8574ea75b1bc4ed985454055df9849358bc339a6bb3a1b490dad54c6a7da662

Observation 25d1e6bb-c67d-424a-a4cb-d16f5da11132 · outbound

This paper cites cuPDLP.jl: A GPU Implementation of Restarted Primal-Dual Hybrid Gradient for Linear Programming in Julia.

Large-Scale Network Utility Maximization via GPU-Accelerated Proximal Message Passing cuPDLP.jl: A GPU Implementation of Restarted Primal-Dual Hybrid Gradient for Linear Programming in Julia

Reference 13

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Observation 0dd2d1bb-16a9-4a7e-9853-597801c22828 · outbound

This paper cites MPAX: Mathematical Programming in JAX,.

Large-Scale Network Utility Maximization via GPU-Accelerated Proximal Message Passing MPAX: Mathematical Programming in JAX,

Reference 14

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Observation 296346d9-dc0e-40d3-987b-13c80295b997 · outbound

This paper cites Solving Large Multicommodity Network Flow Problems on GPUs.

Large-Scale Network Utility Maximization via GPU-Accelerated Proximal Message Passing Solving Large Multicommodity Network Flow Problems on GPUs

Reference 15

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Observation ba4b440b-a053-47df-a3e2-a07c7564333f · outbound

This paper cites Dynamic Network Energy Management via Proximal Message Passing,.

Large-Scale Network Utility Maximization via GPU-Accelerated Proximal Message Passing Dynamic Network Energy Management via Proximal Message Passing,

Reference 16

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Observation 184dc0a8-dfb1-4a17-b804-402bb5fcd147 · outbound

This paper cites GPU Accelerated Security Constrained Optimal Power Flow.

Large-Scale Network Utility Maximization via GPU-Accelerated Proximal Message Passing GPU Accelerated Security Constrained Optimal Power Flow

Reference 17

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Observation c4390eac-aafd-4d9f-9e48-ffae2691689a · outbound

This paper cites Fair end-to-end window-based congestion control,.

Large-Scale Network Utility Maximization via GPU-Accelerated Proximal Message Passing Fair end-to-end window-based congestion control,

Reference 18

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Observation e5a1eabd-5913-460d-acab-276f3b43604b · outbound

This paper cites Distributed Optimization and Statistical Learning via the Al- ternating Direction Method of Multipliers,.

Large-Scale Network Utility Maximization via GPU-Accelerated Proximal Message Passing Distributed Optimization and Statistical Learning via the Al- ternating Direction Method of Multipliers,

Reference 19

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Pith citing papers

No inbound Pith citation observations are available.