Paper Citation Record · LEDGER

A neural drift-plus-penalty algorithm for network power allocation and routing

As of 16 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2509.09637.

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

pith.paper-citation-record.v1
2509.09637 v1

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T18:52:17.561504Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

45 of 45 outbound references displayed

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External citation measurements

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Outbound references

Observation 30d3ec7c-7b35-4b89-9d53-1fdb08686cbf · outbound

This paper cites 5G D2D networks: Tech- niques, challenges, and future prospects.

A neural drift-plus-penalty algorithm for network power allocation and routing 5G D2D networks: Tech- niques, challenges, and future prospects

Reference 1

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Observation 316efaa6-674f-4649-9ab9-3ca966b252a8 · outbound

This paper cites Back-pressure-based packet-by-packet adaptive routing in communication networks.

A neural drift-plus-penalty algorithm for network power allocation and routing Back-pressure-based packet-by-packet adaptive routing in communication networks

Reference 2

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Observation 1cdb6de6-b720-400e-95eb-24c2ac2e6089 · outbound

This paper cites Optimal oblivious routing in poly- nomial time.

A neural drift-plus-penalty algorithm for network power allocation and routing Optimal oblivious routing in poly- nomial time

Reference 3

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This paper cites Relational inductive biases, deep learning, and graph networks.

A neural drift-plus-penalty algorithm for network power allocation and routing Relational inductive biases, deep learning, and graph networks

Reference 4

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Observation 3a13f6d5-d302-4605-9d68-3bd7e84d846d · outbound

This paper cites Combinatorial optimization and reasoning with graph neural networks.

A neural drift-plus-penalty algorithm for network power allocation and routing Combinatorial optimization and reasoning with graph neural networks

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Observation 4a90948b-5b7f-4851-899f-9bd1fee313dc · outbound

This paper cites Cross-layer congestion control, rout- ing and scheduling design in ad hoc wireless networks.

A neural drift-plus-penalty algorithm for network power allocation and routing Cross-layer congestion control, rout- ing and scheduling design in ad hoc wireless networks

Reference 6

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Observation eca3e843-062d-4bea-b9c2-00a308fec97e · outbound

This paper cites Enhancing the delay performance of dynamic backpressure algo- rithms.

A neural drift-plus-penalty algorithm for network power allocation and routing Enhancing the delay performance of dynamic backpressure algo- rithms

Reference 7

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Observation cb66fad6-986a-4031-8a20-de889ac5b31e · outbound

This paper cites Sinkhorn distances: Lightspeed com- putation of optimal transport.

A neural drift-plus-penalty algorithm for network power allocation and routing Sinkhorn distances: Lightspeed com- putation of optimal transport

Reference 8

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Observation d6990660-1e0e-416e-a7b6-8e1c3945be3a · outbound

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A neural drift-plus-penalty algorithm for network power allocation and routing A note on two problems in con- nexion with graphs

Reference 9

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A neural drift-plus-penalty algorithm for network power allocation and routing Optimal wireless resource allocation with random edge graph neural networks

Reference 10

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Observation 8a5d8e25-de3a-4a29-90b6-3b1825db7b50 · outbound

This paper cites Multi-Agent Q-Learning Aided Backpressure Routing Algorithm for Delay Reduction.

A neural drift-plus-penalty algorithm for network power allocation and routing Multi-Agent Q-Learning Aided Backpressure Routing Algorithm for Delay Reduction

Reference 11

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A neural drift-plus-penalty algorithm for network power allocation and routing Resource allocation and cross-layer control in wireless networks

Reference 12

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This paper cites Understanding pooling in graph neural networks.

A neural drift-plus-penalty algorithm for network power allocation and routing Understanding pooling in graph neural networks

Reference 13

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This paper cites A survey of actor-critic reinforce- ment learning: Standard and natural policy gradients.

A neural drift-plus-penalty algorithm for network power allocation and routing A survey of actor-critic reinforce- ment learning: Standard and natural policy gradients

Reference 14

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This paper cites Delay-optimal back-pressure routing algorithm for multihop wireless networks.

A neural drift-plus-penalty algorithm for network power allocation and routing Delay-optimal back-pressure routing algorithm for multihop wireless networks

Reference 15

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This paper cites Efficient gather and scatter oper- ations on graphics processors.

A neural drift-plus-penalty algorithm for network power allocation and routing Efficient gather and scatter oper- ations on graphics processors

Reference 16

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Observation 03195c46-83c0-4004-8de7-3c9b0357e2b2 · outbound

This paper cites Strategies for Pre-training Graph Neural Networks.

A neural drift-plus-penalty algorithm for network power allocation and routing Strategies for Pre-training Graph Neural Networks

Reference 17

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Observation c3c50c78-b9ef-410f-a5ac-603b5a615c9f · outbound

This paper cites Delay- based back-pressure scheduling in multihop wireless networks.

A neural drift-plus-penalty algorithm for network power allocation and routing Delay- based back-pressure scheduling in multihop wireless networks

Reference 18

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This paper cites Learning skillful medium-range global weather forecasting.

A neural drift-plus-penalty algorithm for network power allocation and routing Learning skillful medium-range global weather forecasting

Reference 19

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Observation d4d033ee-b090-4cb3-8d90-0816af9592b4 · outbound

This paper cites Graph Matching Networks for Learning the Similarity of Graph Structured Objects.

A neural drift-plus-penalty algorithm for network power allocation and routing Graph Matching Networks for Learning the Similarity of Graph Structured Objects

Reference 20

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Observation 88e8d8e3-6b71-47b7-83be-ce6b93038f06 · outbound

This paper cites Software avail- able from tensorflow.org.

A neural drift-plus-penalty algorithm for network power allocation and routing Software avail- able from tensorflow.org

Reference 21

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Observation 3ecc4718-927b-427d-a0af-d230d8759afb · outbound

This paper cites Learning Latent Permutations with Gumbel-Sinkhorn Networks.

A neural drift-plus-penalty algorithm for network power allocation and routing Learning Latent Permutations with Gumbel-Sinkhorn Networks

Reference 22

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This paper cites Hard-Constrained Neural Networks with Universal Ap- proximation Guarantees.

A neural drift-plus-penalty algorithm for network power allocation and routing Hard-Constrained Neural Networks with Universal Ap- proximation Guarantees

Reference 23

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A neural drift-plus-penalty algorithm for network power allocation and routing Playing Atari with Deep Reinforcement Learning

Reference 24

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Observation 2618785b-fc71-4745-982a-3c70e56cbfa7 · outbound

This paper cites Routing without routes: The back- pressure collection protocol.

A neural drift-plus-penalty algorithm for network power allocation and routing Routing without routes: The back- pressure collection protocol

Reference 25

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A neural drift-plus-penalty algorithm for network power allocation and routing Random- ized algorithms

Reference 26

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This paper cites Stability and probability 1 con- vergence for queueing networks via Lyapunov opti- mization.

A neural drift-plus-penalty algorithm for network power allocation and routing Stability and probability 1 con- vergence for queueing networks via Lyapunov opti- mization

Reference 27

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This paper cites Dynamic power allocation and routing for time varying wireless networks.

A neural drift-plus-penalty algorithm for network power allocation and routing Dynamic power allocation and routing for time varying wireless networks

Reference 28

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Observation 7e35fd9c-31ba-4884-9daf-57b6b8919f86 · outbound

This paper cites A highly adaptive distributed routing algorithm for mobile wire- less networks.

A neural drift-plus-penalty algorithm for network power allocation and routing A highly adaptive distributed routing algorithm for mobile wire- less networks

Reference 29

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This paper cites PyTorch: An Imperative Style, High-Performance Deep Learning Library.

A neural drift-plus-penalty algorithm for network power allocation and routing PyTorch: An Imperative Style, High-Performance Deep Learning Library

Reference 30

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Observation f4f1b0c2-d77e-4c83-aab7-092ea0cb4de2 · outbound

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A neural drift-plus-penalty algorithm for network power allocation and routing Ad-hoc on- demand distance vector routing

Reference 31

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This paper cites Monotonic value function factori- sation for deep multi-agent reinforcement learning.

A neural drift-plus-penalty algorithm for network power allocation and routing Monotonic value function factori- sation for deep multi-agent reinforcement learning

Reference 32

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A neural drift-plus-penalty algorithm for network power allocation and routing The graph neural network model

Reference 33

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A neural drift-plus-penalty algorithm for network power allocation and routing Position-based routing in ad hoc networks

Reference 34

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A neural drift-plus-penalty algorithm for network power allocation and routing Value-Decomposition Networks For Cooperative Multi-Agent Learning Based On Team Reward

Reference 35

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This paper cites Stability properties of constrained queueing systems and schedul- ing policies for maximum throughput in multihop radio networks.

A neural drift-plus-penalty algorithm for network power allocation and routing Stability properties of constrained queueing systems and schedul- ing policies for maximum throughput in multihop radio networks

Reference 36

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Observation 82d395bb-46eb-488c-b4e4-bc52142af79a · outbound

This paper cites Understanding over-squashing and bottlenecks on graphs via curvature.

A neural drift-plus-penalty algorithm for network power allocation and routing Understanding over-squashing and bottlenecks on graphs via curvature

Reference 37

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Observation 5e1446e4-5c8d-4231-b3fc-07b6394f1c52 · outbound

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A neural drift-plus-penalty algorithm for network power allocation and routing RAYEN: Imposition of Hard Convex Constraints on Neural Networks

Reference 38

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This paper cites LinSATNet: the positive linear satisfiability neural networks.

A neural drift-plus-penalty algorithm for network power allocation and routing LinSATNet: the positive linear satisfiability neural networks

Reference 39

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A neural drift-plus-penalty algorithm for network power allocation and routing On combining shortest-path and back- pressure routing over multihop wireless networks

Reference 40

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This paper cites Biased backpressure routing us- ing link features and graph neural networks.

A neural drift-plus-penalty algorithm for network power allocation and routing Biased backpressure routing us- ing link features and graph neural networks

Reference 41

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This paper cites Since the objective is strictly increasing inµ W ijc, this contradicts the optimality ofµ W i.

A neural drift-plus-penalty algorithm for network power allocation and routing Since the objective is strictly increasing inµ W ijc, this contradicts the optimality ofµ W i

Reference 42

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Observation ea70058e-521a-4212-8bb3-ec619437f1d4 · outbound

This paper cites By Lemma 2, each element(j, c)∈E + saturates either the row or column constraint (or both) atM j,c.

A neural drift-plus-penalty algorithm for network power allocation and routing By Lemma 2, each element(j, c)∈E + saturates either the row or column constraint (or both) atM j,c

Reference 43

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Observation 65c7aa7f-32f9-4bc9-8254-9363cb3612ae · outbound

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A neural drift-plus-penalty algorithm for network power allocation and routing Unresolved cited work

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Observation 85cd9c67-a502-4030-b3d3-da817f200eae · outbound

This paper cites Its row/column sum constraints are corresponding subvectors ofT i, Ii.

A neural drift-plus-penalty algorithm for network power allocation and routing Its row/column sum constraints are corresponding subvectors ofT i, Ii

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-04T18:52:17.561504Z

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