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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 2026-08-13T06:32:02.005865+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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:16:38.499859Z digest=sha256:f4a548b5847df0d096fc9197ae3e4b39ec2d69c5ff57e4c1f45ff711b19a7815

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

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source=pdf_text observed=2026-08-12T12:16:38.506030Z digest=sha256:5021b68957e957599f9f3a4be7ae0e5a327ee1c061a9d8511da81ae6a59aac1e

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

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raw_fallback, observed 2026-08-12T12:16:39.768192Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:16:38.510737Z digest=sha256:9dc7a81954718ef37d8190673583bd1bff8501314abd72cf0a26de7eb56e7e89

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:16:38.516764Z digest=sha256:90c9c1f7a79dac081f14ae8561406ab1c5834d3c11677fc486d9e03858bf5587

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

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source=pdf_text observed=2026-08-12T12:16:38.521236Z digest=sha256:1abb0a3e73b1a45358fc76df52680c4aed7f33c0d05b50777e0e996fc4e53fa1

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:16:38.525728Z digest=sha256:6d834deff34e535d8d8e613a12a26da5d367eaa6ee41d4b2af29b265108d3fc2

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

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local_arxiv, observed 2026-08-12T12:16:39.086930Z

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source=pdf_text observed=2026-08-12T12:16:38.530666Z digest=sha256:d2ed0c90e3797bc8c2bd4dc7e1527dbfd61f91fdb26c5bfc608ed366f80e9067

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:16:38.535573Z digest=sha256:15364f49f9b8b7ab22057faf1a4f32a72c4d6faf73981422d179ac90b7b91268

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

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-12T12:16:38.540099Z digest=sha256:22eeeeb6549ef9eea6bc7156a3ec1e76de450862f8e8d591619cac60b3a2b9d9

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

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source=pdf_text observed=2026-08-12T12:16:38.545024Z digest=sha256:4d79c57944a1dc44639b5fca7c4aeb93a6f5f6eb44e56dda942f944d2d8d65d2

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:16:38.549564Z digest=sha256:b4568685d51885b3e620f0d6eebf2f60e8347a9a76a94b8560c76b5a48686a57

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:16:38.554079Z digest=sha256:edfd08b2a05deb2e6c5ed53d1d3adbc75bb7bf50f2bde3f1636c7fe359027e53

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:16:38.559040Z digest=sha256:d5850e41fef04d20bb9b7d5b58df3b9e3985b0d95059b5b980f0f3837c861363

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

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source=pdf_text observed=2026-08-12T12:16:38.564142Z digest=sha256:9dcb4f0fcbf57a2b771cfc1b1da6286fb20e362a847336ff2e671199adbe1962

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

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:16:38.569198Z digest=sha256:77f68a67b05a1e249cea20ccd63de0b6f25bcf2395bdd83fedddba719c18d587

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

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source=pdf_text observed=2026-08-12T12:16:38.573810Z digest=sha256:630e4f2145a2454795a8432c6811ec47c424059b5d7fe11f8802dd7ac7af945a

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

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:16:38.578385Z digest=sha256:200ecc3bff3f900a680fd7f4574594283d299571ede17059bce619ddca2f850b

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

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:16:38.582612Z digest=sha256:4281f2656b0c586910dd61ef267436a856d44eba8eb91ce436f43134c2804517

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

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:16:38.586987Z digest=sha256:191f3e650efc3e88d4097412bfaed3c32edfc536194f796d1c4342afd1b8b5e2

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

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source=pdf_text observed=2026-08-12T12:16:38.591671Z digest=sha256:05275712156a895e522bc43afb686665754c9f57bf94ea7eb35bb5fc7c4b1584

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

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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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

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:16:38.600951Z digest=sha256:6b81f2a813e612530fbdf362cd4cbbcab7b2ebe55553cf88dcea0339b30f3102

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

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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

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source=pdf_text observed=2026-08-12T12:16:38.609462Z digest=sha256:cf3683c983228f63dda85531b7efcfcacffe3ef71bff4dfba750eb844c12675b

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

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source=pdf_text observed=2026-08-12T12:16:38.614189Z digest=sha256:97f8bda4bf90dd174c3e16ad7a47130334ac363c95f78b4393fd9eb38f4847b1

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

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source=pdf_text observed=2026-08-12T12:16:38.618575Z digest=sha256:6726eac93e2053394274593a5d28474c859e2669af83da56bbba294a1908b942

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

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source=pdf_text observed=2026-08-12T12:16:38.623332Z digest=sha256:4ee5f1b561a63e70cdbd2cc230c88a63533e9d6e2ff3af3633877309f5b2569a

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

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source=pdf_text observed=2026-08-12T12:16:38.628221Z digest=sha256:3276a45f2c863283b25828d299bfc8da5da878f67e2ef5616c0e5ea3390703da

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

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source=pdf_text observed=2026-08-12T12:16:38.632531Z digest=sha256:38c0a47d48ba5f9dc8f45218fbd5b7c037646ff4a2d49f898dea6fbb05f26f7d

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

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source=pdf_text observed=2026-08-12T12:16:38.636659Z digest=sha256:af1bd9eae06080d90ad477be9471e2c1ac00813225b78898cd8d072ba7cae76b

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

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source=pdf_text observed=2026-08-12T12:16:38.640811Z digest=sha256:f27f8bc21b6c47ffc17ab17c0dd4662bc0c761492e9f9097f40d8882460ae061

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

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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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:16:38.645060Z digest=sha256:bab49b79b204ba116196d0d0c6617723bd646eda75dda3f6c9e121b341da22f2

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

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source=pdf_text observed=2026-08-12T12:16:38.649278Z digest=sha256:87bb8dbeca5cb94474a49b67ea82682cea1e11174b7fdfcd8512e1c1fe1c0eca

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

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source=pdf_text observed=2026-08-12T12:16:38.653408Z digest=sha256:4166fb0e5ef11cd96d74e975951073f1ae8f709421ee7820c15a26a8426805f3

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

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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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:16:38.657490Z digest=sha256:0e988d2af624e8b0914d572df8b19645fa6f77e5b31bce447476db2ab92e0dde

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:16:38.662377Z digest=sha256:ee3d7db8cb2943e5d3286c8cdb2024d63e227c562dd7db0224da3e51dfaf8efd

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:16:38.667387Z digest=sha256:0989306d4e8972e12d5e221118e48cd8f94448b792829d787e107504558a9e6f

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:16:38.671988Z digest=sha256:f54e0d4668027813cb88b7ab29ccc9d6b0cc93b10b2b3fccf03798153c93e945

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:16:38.676611Z digest=sha256:bcdcdd691c22749bfecc4fd1b2c5359fe64fef79b0f89c1239a679e28e3e6543

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:16:38.681407Z digest=sha256:802383e30ba4cebad4dbc6048fd7b94808cedf6a47419dce66568371a567ae31

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:16:38.685701Z digest=sha256:42f943b3f662d1e430bce24ca82fd9216f9c7ff7e77110b88917b7fa55d50494

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.

source=pdf_text observed=2026-08-12T12:16:38.690055Z digest=sha256:47a716be842b05347f42f019f317a662888daecb9d5b5dddbb1f0089c27115a9

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.

source=pdf_text observed=2026-08-12T12:16:38.694651Z digest=sha256:009c09cb9e631e3235ab9c7cbca83ddd2ef5cdf067c3861d407004120935b5ba

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:16:38.699136Z digest=sha256:ab00113af9b6275d401a08be983e720a7572d55e2c3f583154b34f5d27bcdaf6

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:16:38.703386Z digest=sha256:4d2ff4a2d99a853669d9721e558092aba833546f21ab8df816ea2685d145dbb2

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

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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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:16:38.707924Z digest=sha256:3ffecd8f48bd6be9faefb3d6c07ee594233e98c46cc84922479d76e20ba5e3b0

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:16:38.712235Z digest=sha256:661bcaf07db86743706a6a9226029e76c73a3e99ba529299870399537f74540d

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:16:38.716596Z digest=sha256:9d735f4774c25449535b7c3acb337c595791c581dfb483bdf51d6273a1b24d31

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:16:38.720838Z digest=sha256:b0400a92aaf87e75680086b5773cb3cde160ff98549a1694d932c0ec9d9701f5

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:16:38.725314Z digest=sha256:476b7998255e0fa84555d525087f7bb2fa786ecc26d889406f70504bdd693b34

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:16:38.729580Z digest=sha256:ee3ed01533c936cda7b2cd54b55c7dc6cbfb6d4d602eb6a26d30237b878ee93a

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:16:38.734320Z digest=sha256:951d98129ed0bc6a9f5ef79d9372fb2bae2cf05870d541c609431bdbe75a898a

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:16:38.738641Z digest=sha256:3828ea2840f67b977407a4d8d62ae885ac82ba9aadbaf9d29fed7ed4cfeeedaf

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:16:38.743055Z digest=sha256:6c1a4ae1924daab28e0e373c25553a1f25f905b9865653e27cea95a37a59d42e

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:16:38.747509Z digest=sha256:53538e74f69c547ecef3d36aa8c53bb65c744b7ab75179f69517882c92f7c77b

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:16:38.751838Z digest=sha256:87bc80adbd614e1aed6a54e8f4fe2e5382e7214c3c16fdc20de1d0be4457553b

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:16:38.756092Z digest=sha256:3e598fac15d42c4eb0bd79712f5ac1fb0b00735f9d975e63d82b19211512e5c6

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:16:38.760767Z digest=sha256:04f28a6c764accfc39cfe3a4682239b2d924f6836bb68b7900d9ce66bf1d4420

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:16:38.765041Z digest=sha256:c92ef352fd0c15ab92438eb5eea2da8e6ce740cf7459024315f40e4f9e720f45

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:16:38.769986Z digest=sha256:b66751bb4a957bf430a47331b8901f3a8c608da9c59e3125d3affaff0dd7ac73

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

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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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:16:38.774602Z digest=sha256:1b77b766e114b00d7942975a77820c0ec544315e4872f8b61411f2c89e43f9da

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

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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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-14T21:12:36.986517Z digest=sha256:86e9b4110ff70e5d7ab6905e52999e43ae88ffc975024f74184fe62696a7d7ad

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T14:13:57.795578Z digest=sha256:df545fedb22909ae592bee079279b84ba9db35a54c67b5a6b3b4d367f826f964