Paper Citation Record · LEDGER

Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning

As of 13 August 2026, this Paper Citation Record lists 61 of 61 outbound references and 2 inbound Pith citation observations for arXiv:2411.17353.

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

pith.paper-citation-record.v1
2411.17353 v1

Coverage vector

measured 61 of 61 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T12:16:38.774602Z

measured 63 of 63 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T14:13:57.795578Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-14T21:12:58.454651Z

Reference resolution

61 of 61 outbound references displayed

verified exact2
verified fuzzy38
unresolved21
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b3f231a4-45e8-4da6-a713-8d69e1efb614 · outbound

This paper cites The bitcoin lightning network: Scalable off-chain instant payments,.

Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning The bitcoin lightning network: Scalable off-chain instant payments,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-12T12:16:38.499859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation abaf10f4-8c7a-49db-88cf-da82c47c01ad · outbound

This paper cites Bitcoin: A peer-to-peer electronic cash system,.

Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning Bitcoin: A peer-to-peer electronic cash system,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-12T12:16:38.506030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5a6046a-b01a-4f27-be57-4b5dc36a9f09 · outbound

This paper cites A quantitative analysis of security, anonymity and scalability for the lightning network,.

Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning A quantitative analysis of security, anonymity and scalability for the lightning network,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:16:39.768192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 619c4933-864e-4c6b-9083-187d32aed753 · outbound

This paper cites How to profit from payments channels,.

Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning How to profit from payments channels,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:16:39.753458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8b0a42dc-a4c9-4b25-a737-e08beadff732 · outbound

This paper cites Rational economic be- haviours in the bitcoin lightning network,.

Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning Rational economic be- haviours in the bitcoin lightning network,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:16:39.739095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation eb0ed399-15f8-45f9-91f2-2466e1289178 · outbound

This paper cites Incentives on the lightning network: A blockchain-based payment network,.

Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning Incentives on the lightning network: A blockchain-based payment network,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:16:39.725423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 78392177-2e57-45ee-aeab-c8b6c1f9f77d · outbound

This paper cites DyFEn: Agent-Based Fee Setting in Payment Channel Networks.

Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning DyFEn: Agent-Based Fee Setting in Payment Channel Networks

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-08-12T12:16:39.086930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 4ab6152d-4633-42a3-bc54-204dec09590f · outbound

This paper cites A payment channel net- work fee allocation strategy integrating auction theory,.

Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning A payment channel net- work fee allocation strategy integrating auction theory,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:16:39.710081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c89e8bc7-337d-43a4-bd16-4418092bf0ee · outbound

This paper cites Learning a scalable algorithm for improving betweenness in the lightning network,.

Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning Learning a scalable algorithm for improving betweenness in the lightning network,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:16:39.693428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a05324e0-02da-4005-97f0-e7ba60c6d3df · outbound

This paper cites Hubs, rebalancing and service providers in the lightning network,.

Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning Hubs, rebalancing and service providers in the lightning network,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:16:39.678623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9cbb9398-6bc0-44d1-87a7-fe06a6e5b21f · outbound

This paper cites Combinatorial pure exploration of multi-armed bandits,.

Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning Combinatorial pure exploration of multi-armed bandits,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:16:39.663725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 6d365e23-3eb0-4974-98fb-86ae0ac2a183 · outbound

This paper cites Combinatorial feature selection problems,.

Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning Combinatorial feature selection problems,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:16:39.647781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 69bf50e2-f7e2-4ae7-a791-a3f019c29592 · outbound

This paper cites The design of mechanisms for resource allocation,.

Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning The design of mechanisms for resource allocation,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:16:39.632922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 237bd1ed-dae2-4dd8-b493-b4e773dfce46 · outbound

This paper cites Attention is all you need,.

Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning Attention is all you need,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-12T12:16:38.564142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ffa0161c-30b3-4471-b4eb-9c627c5853b9 · outbound

This paper cites Topological analysis and simulations on centrality in the lightning network,.

Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning Topological analysis and simulations on centrality in the lightning network,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:16:39.608099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3ac4f450-bf3a-4e50-acf5-c018abb5869e · outbound

This paper cites Proximal Policy Optimization Algorithms.

Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning Proximal Policy Optimization Algorithms

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-12T12:16:38.573810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4163f53e-1f95-4fa0-a6d4-866ef8b43283 · outbound

This paper cites Emergent routing strategies in the lightning network,.

Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning Emergent routing strategies in the lightning network,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:16:39.592886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation aca02e0d-362a-43ff-9104-7d8393a06352 · outbound

This paper cites Aodv–based routing for payment channel networks,.

Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning Aodv–based routing for payment channel networks,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:16:39.578057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0c3ae607-89aa-4a8e-ae16-ae58c4c09547 · outbound

This paper cites Flare: An approach to routing in lightning network,.

Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning Flare: An approach to routing in lightning network,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:16:39.563137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 26eb85c9-2250-4a29-aaf0-8a1de96d91c0 · outbound

This paper cites A note on two problems in connexion with graphs,.

Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning A note on two problems in connexion with graphs,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-12T12:16:38.591671Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b6ee04a7-9ada-412d-8228-a32594f90626 · outbound

This paper cites Understanding the lightning network capability to route payments,.

Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning Understanding the lightning network capability to route payments,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:16:39.538561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d67cc799-1c11-4229-ab71-43814f227df6 · outbound

This paper cites Towards bitcoin payment networks,.

Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning Towards bitcoin payment networks,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:16:39.522937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 80c33167-998b-4e48-87f0-d00caa81b107 · outbound

This paper cites Reinforcement learning: An introduction,.

Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning Reinforcement learning: An introduction,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:16:39.507262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0353c5d2-ad1e-4dd9-9d4a-1fe4d6a214ef · outbound

This paper cites High-Dimensional Continuous Control Using Generalized Advantage Estimation.

Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning High-Dimensional Continuous Control Using Generalized Advantage Estimation

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-12T12:16:38.609462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c7d1b12-f5c6-4bce-81b1-c964c0736e2f · outbound

This paper cites A survey of transformers,.

Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning A survey of transformers,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-12T12:16:38.614189Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e543c308-2c35-4583-b373-9720a633b6bc · outbound

This paper cites Semi-Supervised Classification with Graph Convolutional Networks.

Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning Semi-Supervised Classification with Graph Convolutional Networks

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-12T12:16:38.618575Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad078327-8198-4685-9a96-1916bd075672 · outbound

This paper cites Graph Attention Networks.

Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning Graph Attention Networks

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-12T12:16:38.623332Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e41b9228-2dde-409e-940b-b4373c2bf86e · outbound

This paper cites Inductive representation learning on large graphs,.

Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning Inductive representation learning on large graphs,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-12T12:16:38.628221Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94b3225a-1832-4626-a426-1c71986071a8 · outbound

This paper cites Neural message passing for quantum chemistry,.

Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning Neural message passing for quantum chemistry,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-12T12:16:38.632531Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3819f987-ce32-48e1-806d-b585cdd78da4 · outbound

This paper cites Self-attention graph pooling,.

Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning Self-attention graph pooling,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-12T12:16:38.636659Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae8c6d73-4bec-4cfd-853e-5a75daf6a8f0 · outbound

This paper cites Hierarchical graph representation learning with differentiable pooling,.

Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning Hierarchical graph representation learning with differentiable pooling,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-12T12:16:38.640811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b9a87fb-bac3-4c15-a09b-9a36362b830a · outbound

This paper cites An end-to-end deep learning architecture for graph classification,.

Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning An end-to-end deep learning architecture for graph classification,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:16:39.447334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 427da71d-2f81-497a-af4d-b8e603508c66 · outbound

This paper cites A survey of graph neural networks in real world: Imbalance, noise, privacy and ood challenges,.

Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning A survey of graph neural networks in real world: Imbalance, noise, privacy and ood challenges,

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-12T12:16:38.649278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 844b1324-38f5-4e87-9d3b-5f2647da0e4b · outbound

This paper cites The graph neural network model,.

Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning The graph neural network model,

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-12T12:16:38.653408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5e525e4-8606-4d8b-89e7-cddc58da478f · outbound

This paper cites A Cryptoeconomic Traffic Analysis of Bitcoin's Lightning Network.

Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning A Cryptoeconomic Traffic Analysis of Bitcoin's Lightning Network

Reference 35

Resolution: verified exact; local_arxiv, observed 2026-08-12T12:16:38.861050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d21a0f93-f2e3-4004-b04f-7863098f3a20 · outbound

This paper cites Cloth: A lightning network simulator,.

Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning Cloth: A lightning network simulator,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:16:39.421889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8ffb71d9-9b29-46fa-8568-755c26e18726 · outbound

This paper cites Controlling graph dynamics with reinforcement learning and graph neural networks,.

Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning Controlling graph dynamics with reinforcement learning and graph neural networks,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:16:39.405623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ec3d85e5-ad38-4a6b-8cbb-35844d78b316 · outbound

This paper cites Discharged payment chan- nels: Quantifying the lightning network’s resilience to topology-based attacks,.

Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning Discharged payment chan- nels: Quantifying the lightning network’s resilience to topology-based attacks,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:16:39.390208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 4736ef6e-9311-4b16-bc11-7f73729ac665 · outbound

This paper cites The evolving topology of the lightning network: Centralization, efficiency, robustness, synchronization, and anonymity,.

Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning The evolving topology of the lightning network: Centralization, efficiency, robustness, synchronization, and anonymity,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:16:39.375976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 2cba68a3-8b93-4f54-acb6-bcc3d372b800 · outbound

This paper cites Little ball of fur: a python library for graph sampling,.

Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning Little ball of fur: a python library for graph sampling,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:16:39.361377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 31703898-4ab0-4c95-82b3-819d884e1264 · outbound

This paper cites Sampling from large graphs,.

Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning Sampling from large graphs,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:16:39.346623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 4e53976f-e4b5-48c6-8a18-f7ce6459ac36 · outbound

This paper cites OpenAI Gym.

Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning OpenAI Gym

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-12T12:16:38.690055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51ba4037-dad1-4bd7-b73a-87f6a5b06252 · outbound

This paper cites Stable-baselines3: Reliable reinforcement learning implementa- tions,.

Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning Stable-baselines3: Reliable reinforcement learning implementa- tions,

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-12T12:16:38.694651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cbd79940-f737-461e-965f-852ede58ad7f · outbound

This paper cites Analyzing and mitigating the centralization tendency of the lightning network,.

Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning Analyzing and mitigating the centralization tendency of the lightning network,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:16:39.321770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 13c35b3e-096a-4eab-886b-d39a2dd45670 · outbound

This paper cites The evolution of Lightning Network's Topology during its first year and the influence over its core values.

Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning The evolution of Lightning Network's Topology during its first year and the influence over its core values

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-12T12:16:38.703386Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e97076b7-bfcc-4d95-93b6-782e787ffae6 · outbound

This paper cites An analysis of the decentralization and effectiveness of lightning network,.

Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning An analysis of the decentralization and effectiveness of lightning network,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:16:39.307276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 1ed46505-abc7-4f14-b1e5-2ff58072e7a8 · outbound

This paper cites A centrality analysis of the lightning network,.

Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning A centrality analysis of the lightning network,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:16:39.293008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation edcb4266-57bd-476c-8e0f-d258300f43bc · outbound

This paper cites On the impact of attachment strategies for payment channel networks,.

Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning On the impact of attachment strategies for payment channel networks,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:16:39.277620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 244412cf-d14b-43d6-9097-3c36f6d5fbb7 · outbound

This paper cites Some effects of unequal distribution of information upon group performance in various communication nets.

Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning Some effects of unequal distribution of information upon group performance in various communication nets

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:16:39.261818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 21ac5c06-f4bb-4012-b28e-5f7442ba5c51 · outbound

This paper cites A set of measures of centrality based on betweenness,.

Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning A set of measures of centrality based on betweenness,

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-12T12:16:38.725314Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1118f84-afea-4b8f-8697-35f6d5fca36c · outbound

This paper cites Rethinking centrality: Methods and examples,.

Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning Rethinking centrality: Methods and examples,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:16:39.236177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 2a134ce1-4e7b-4635-851b-e683b5773c10 · outbound

This paper cites Communication patterns in task-oriented groups,.

Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning Communication patterns in task-oriented groups,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:16:39.219652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f83da086-5da9-431e-ac03-4c01e67cc560 · outbound

This paper cites Shannon entropy, renyi entropy, and information,.

Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning Shannon entropy, renyi entropy, and information,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:16:39.204680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 2cc95781-a919-44d2-9c3c-8b8d73e8dc62 · outbound

This paper cites The estimation of the lorenz curve and gini index,.

Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning The estimation of the lorenz curve and gini index,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:16:39.188182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d5d93f2f-775b-4dcc-8795-491dab17206c · outbound

This paper cites A new definition of modularity for community detection in complex networks,.

Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning A new definition of modularity for community detection in complex networks,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:16:39.173158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 97e613af-5d80-4f93-b099-86cd05ed00ab · outbound

This paper cites Generalized louvain method for community detection in large networks,.

Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning Generalized louvain method for community detection in large networks,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:16:39.156079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ef8c52e1-19f4-486d-84c4-5e7756e8ddac · outbound

This paper cites How Attentive are Graph Attention Networks?.

Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning How Attentive are Graph Attention Networks?

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-12T12:16:38.756092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b877b47-b456-460e-8518-bc272a4688ef · outbound

This paper cites Emergence of scaling in random net- works,.

Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning Emergence of scaling in random net- works,

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-12T12:16:38.760767Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ad2cd20-d37a-4738-9065-52d43812bcfc · outbound

This paper cites is the barabasi albert model a reasonable choice for the autopilot,.

Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning is the barabasi albert model a reasonable choice for the autopilot,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:16:39.131681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 14fd0f13-416c-431f-a90f-be7136ae070e · outbound

This paper cites Designing and evaluating rebalancing algorithms for payment channel networks,.

Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning Designing and evaluating rebalancing algorithms for payment channel networks,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:16:39.116811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 326a3ccc-640c-424e-918e-c12654901065 · outbound

This paper cites Topological analysis of bitcoin’s lightning network,.

Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning Topological analysis of bitcoin’s lightning network,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:16:39.102316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Pith citing papers

Observation 39c5fcaa-1363-4e19-8e4f-e8f971f874b5 · inbound

Predicting Channel Closures in the Lightning Network with Machine Learning cites this paper.

Predicting Channel Closures in the Lightning Network with Machine Learning Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-14T21:12:58.456261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f2ecddb1-2b4f-4512-933a-c98535030357 · inbound

Predicting Channel Closures in the Lightning Network with Machine Learning cites this paper.

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-02T14:13:57.795578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.