Paper Citation Record · LEDGER

Decentralized Multi-Channel MANET Power Optimization Using Graph Neural Networks

As of 7 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2605.12612.

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

pith.paper-citation-record.v1
2605.12612 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-14T20:25:11.710795Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

31 of 31 outbound references displayed

verified exact0
verified fuzzy31
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0f27e2f4-fdf1-43e9-9695-22253f8b42e4 · outbound

This paper cites Tavli and W.

Decentralized Multi-Channel MANET Power Optimization Using Graph Neural Networks Tavli and W

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T15:56:14.848098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a1ab306a-dd7a-48f6-a567-b0c286de3bbb · outbound

This paper cites Software- defined networking meets software-defined radio in mobile ad hoc networks: state of the art and future directions.

Decentralized Multi-Channel MANET Power Optimization Using Graph Neural Networks Software- defined networking meets software-defined radio in mobile ad hoc networks: state of the art and future directions

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T15:56:14.855865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c45e8b3e-6f45-41fd-b67a-9e739f59193a · outbound

This paper cites A multi-channel MAC protocol with retrodirective array antennas in flying ad hoc networks.

Decentralized Multi-Channel MANET Power Optimization Using Graph Neural Networks A multi-channel MAC protocol with retrodirective array antennas in flying ad hoc networks

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T15:56:14.844463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 966a7d33-7d78-4433-96bc-2ba8afe6e756 · outbound

This paper cites A novel MIMO-OFDM based MAC protocol for V ANETs.

Decentralized Multi-Channel MANET Power Optimization Using Graph Neural Networks A novel MIMO-OFDM based MAC protocol for V ANETs

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T15:56:14.851875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fe7ca733-cfb5-4679-b11c-fbf1ec9ed05f · outbound

This paper cites Joint fairness and efficiency optimization for CSMA/CA-based multi-user MIMO UA V ad hoc networks.

Decentralized Multi-Channel MANET Power Optimization Using Graph Neural Networks Joint fairness and efficiency optimization for CSMA/CA-based multi-user MIMO UA V ad hoc networks

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T15:56:15.002902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 745e3676-5620-4200-9e44-12c945468fd3 · outbound

This paper cites Survey on power-aware optimization solutions for MANETs.

Decentralized Multi-Channel MANET Power Optimization Using Graph Neural Networks Survey on power-aware optimization solutions for MANETs

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T15:56:15.007602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ad70c369-cdeb-4d4e-ac63-1d7bab078d1d · outbound

This paper cites PAMAS—power aware multi-access protocol with signalling for ad hoc networks.

Decentralized Multi-Channel MANET Power Optimization Using Graph Neural Networks PAMAS—power aware multi-access protocol with signalling for ad hoc networks

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T15:56:14.998444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 62e3ae3a-3ce0-4b17-8828-328144fa8fdd · outbound

This paper cites An energy-efficient MAC protocol for wireless sensor networks.

Decentralized Multi-Channel MANET Power Optimization Using Graph Neural Networks An energy-efficient MAC protocol for wireless sensor networks

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T15:56:14.989714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 06f2b11f-c965-4753-9169-e540e5b21b60 · outbound

This paper cites Power-aware routing based on the energy drain rate for mobile ad hoc networks.

Decentralized Multi-Channel MANET Power Optimization Using Graph Neural Networks Power-aware routing based on the energy drain rate for mobile ad hoc networks

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T15:56:14.971484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c6430cc8-50f1-4046-a200-56734602bdfa · outbound

This paper cites GPSR: Greedy perimeter stateless routing for wireless networks.

Decentralized Multi-Channel MANET Power Optimization Using Graph Neural Networks GPSR: Greedy perimeter stateless routing for wireless networks

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T15:56:14.967474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 379b0cc4-b1c2-4e36-b272-c18e8f8c9175 · outbound

This paper cites Online power-aware routing in wireless ad-hoc networks.

Decentralized Multi-Channel MANET Power Optimization Using Graph Neural Networks Online power-aware routing in wireless ad-hoc networks

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T15:56:14.984818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7b8ba3e2-f2e0-4915-a7c6-dfe3eb44fbb7 · outbound

This paper cites Efficient power aware AODV routing protocol in MANET.

Decentralized Multi-Channel MANET Power Optimization Using Graph Neural Networks Efficient power aware AODV routing protocol in MANET

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T15:56:14.977093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 10552377-2b1a-4234-81cc-4e080233d252 · outbound

This paper cites GROWS: improving decentralized resource allocation in wireless networks through graph neural networks.

Decentralized Multi-Channel MANET Power Optimization Using Graph Neural Networks GROWS: improving decentralized resource allocation in wireless networks through graph neural networks

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T15:56:14.946270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 473557ca-737a-4a8a-a59d-97499dd4f951 · outbound

This paper cites Graph neural network meets multi-agent reinforcement learning: Fundamentals, applications, and future directions.

Decentralized Multi-Channel MANET Power Optimization Using Graph Neural Networks Graph neural network meets multi-agent reinforcement learning: Fundamentals, applications, and future directions

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T15:56:14.959801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7dad3dd0-f160-4ad3-9478-71854ede99be · outbound

This paper cites Model-based deep learning: On the intersection of deep learning and optimization.

Decentralized Multi-Channel MANET Power Optimization Using Graph Neural Networks Model-based deep learning: On the intersection of deep learning and optimization

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T15:56:14.954982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 13b77845-8af1-4415-84ed-2effcfe329f1 · outbound

This paper cites Rapid optimization of superposition codes for multi-hop NOMA MANETs via deep unfolding.

Decentralized Multi-Channel MANET Power Optimization Using Graph Neural Networks Rapid optimization of superposition codes for multi-hop NOMA MANETs via deep unfolding

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T15:56:14.981115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7d9f3028-e468-472e-bdd7-e6c83b6ceccd · outbound

This paper cites Distributed learn-to-optimize: Limited communications optimization over networks via deep unfolded distributed ADMM.

Decentralized Multi-Channel MANET Power Optimization Using Graph Neural Networks Distributed learn-to-optimize: Limited communications optimization over networks via deep unfolded distributed ADMM

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T15:56:14.994330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f174fbc8-bbbc-468d-aa49-af939baa4bef · outbound

This paper cites Optimal wireless resource allocation with random edge graph neural networks.

Decentralized Multi-Channel MANET Power Optimization Using Graph Neural Networks Optimal wireless resource allocation with random edge graph neural networks

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T15:56:14.942269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 20233013-8af9-4564-9568-8740eb56a7c8 · outbound

This paper cites Graph neural networks for distributed power allocation in wireless networks: Aggregation over-the-air.

Decentralized Multi-Channel MANET Power Optimization Using Graph Neural Networks Graph neural networks for distributed power allocation in wireless networks: Aggregation over-the-air

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T15:56:14.902154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 72fd695b-8c88-4880-a3d6-c224d8ea0d62 · outbound

This paper cites Distributed link sparsification for scalable scheduling using graph neural networks.

Decentralized Multi-Channel MANET Power Optimization Using Graph Neural Networks Distributed link sparsification for scalable scheduling using graph neural networks

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T15:56:14.897632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1ae5c4db-dd8e-496e-9ad9-50e1588617f7 · outbound

This paper cites Power allocation for wireless federated learning using graph neural networks.

Decentralized Multi-Channel MANET Power Optimization Using Graph Neural Networks Power allocation for wireless federated learning using graph neural networks

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T15:56:14.935658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 550baea1-1629-4c54-b42a-873af3751a04 · outbound

This paper cites Learning to optimize: A primer and a benchmark.

Decentralized Multi-Channel MANET Power Optimization Using Graph Neural Networks Learning to optimize: A primer and a benchmark

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T15:56:14.950332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8fcbb9b4-3f9c-4a0d-9b70-b238ae4f26f1 · outbound

This paper cites Graph neural networks for scalable radio resource management: Architecture design and theoretical analysis.

Decentralized Multi-Channel MANET Power Optimization Using Graph Neural Networks Graph neural networks for scalable radio resource management: Architecture design and theoretical analysis

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T15:56:14.963835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9e088249-1427-4754-be94-1ff7c554d40c · outbound

This paper cites Graph neural networks.

Decentralized Multi-Channel MANET Power Optimization Using Graph Neural Networks Graph neural networks

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T15:56:14.883911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2bf087a6-613c-4f94-9270-a4745d2c8695 · outbound

This paper cites How powerful are k-hop message passing graph neural networks.

Decentralized Multi-Channel MANET Power Optimization Using Graph Neural Networks How powerful are k-hop message passing graph neural networks

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T15:56:14.888538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 74c22407-a138-42dd-ba76-5e8cfdfe474f · outbound

This paper cites Discriminative and generative learning for linear estimation of random signals [lecture notes].

Decentralized Multi-Channel MANET Power Optimization Using Graph Neural Networks Discriminative and generative learning for linear estimation of random signals [lecture notes]

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T15:56:14.874284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b16ac6a6-7fb6-4c72-b457-473481da9402 · outbound

This paper cites FiLM: Visual reasoning with a general conditioning layer.

Decentralized Multi-Channel MANET Power Optimization Using Graph Neural Networks FiLM: Visual reasoning with a general conditioning layer

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T15:56:14.869879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d9e8d7ce-a3a9-4ff1-a267-40f006d5c5fd · outbound

This paper cites Model-based deep learning.

Decentralized Multi-Channel MANET Power Optimization Using Graph Neural Networks Model-based deep learning

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T15:56:14.879211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation cb9999a1-5245-4193-ac67-dac2bd67910d · outbound

This paper cites Unveiling and mitigating adversarial vulnerabilities in iterative optimizers.

Decentralized Multi-Channel MANET Power Optimization Using Graph Neural Networks Unveiling and mitigating adversarial vulnerabilities in iterative optimizers

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T15:56:14.893269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 242f8d3a-6e27-47b5-aed0-817d2433bc2b · outbound

This paper cites Towards understanding convergence and generalization of AdamW.

Decentralized Multi-Channel MANET Power Optimization Using Graph Neural Networks Towards understanding convergence and generalization of AdamW

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T15:56:14.860260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1b0ecb2f-4b9b-4f53-96aa-74e906a1d1e3 · outbound

This paper cites On a routing problem.

Decentralized Multi-Channel MANET Power Optimization Using Graph Neural Networks On a routing problem

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T15:56:14.864670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

No inbound Pith citation observations are available.