{"as_of":"2026-08-13T06:13:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a110b732bc356681766a297bf7962337a20f218b9509dd1d576d26c285344ec9","coverage":[{"denominator":61,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":61,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T12:16:38.774602Z","state":"measured"},{"denominator":63,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":63,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-12T06:34:41.77262+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-02T14:13:57.795578Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-14T21:12:58.454651Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2411.17353","last_updated":"2024-11-26T11:56:19Z","snapshot_observed_at":"2026-08-12T12:10:30.623470Z","submitted_at":"2024-11-26T11:56:19Z","title":"Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning","version":1},"cited_work":{"arxiv_id":"2411.17353","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2411.17353","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Joint combinatorial node selection and resource allocations in the lightning network using attention-based reinforcement learning","venue":null,"work_id":"f5aab261-d493-4b50-95a6-f852aa199daf","year":2024},"citing_paper":{"arxiv_id":"2605.12759","last_updated":"2026-07-25T17:24:50Z","snapshot_observed_at":"2026-08-02T14:13:56.216403Z","submitted_at":"2026-05-12T21:12:12Z","title":"Predicting Channel Closures in the Lightning Network with Machine Learning","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-14T21:12:36.986517Z"},"links":{"cited_paper":"/paper/2411.17353","citing_paper":"/paper/2605.12759"},"observation_digest":"sha256:f012c389a1a61229069bfcb73cedf5bbeb3daaf74b81f80924a4b8e0aaa5c1b5","observation_id":"39c5fcaa-1363-4e19-8e4f-e8f971f874b5","resolution":{"observed_at":"2026-05-14T21:12:58.456261Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2411.17353","last_updated":"2024-11-26T11:56:19Z","snapshot_observed_at":"2026-08-12T12:10:30.623470Z","submitted_at":"2024-11-26T11:56:19Z","title":"Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.17353","snapshot_observed_at":"2026-08-02T14:13:57.795578Z","title":"Joint combinatorial node selection and resource allocations in the lightning network using attention-based reinforcement learning,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2605.12759","last_updated":"2026-07-25T17:24:50Z","snapshot_observed_at":"2026-08-02T14:13:56.216403Z","submitted_at":"2026-05-12T21:12:12Z","title":"Predicting Channel Closures in the Lightning Network with Machine Learning","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-02T14:13:57.795578Z"},"links":{"cited_paper":"/paper/2411.17353","citing_paper":"/paper/2605.12759"},"observation_digest":"sha256:df545fedb22909ae592bee079279b84ba9db35a54c67b5a6b3b4d367f826f964","observation_id":"f2ecddb1-2b4f-4512-933a-c98535030357","resolution":{"observed_at":"2026-08-02T14:13:57.795578Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2411.17353/citation-record","integrity":"/paper/2411.17353/integrity","json":"/paper/2411.17353/citation-record.json","paper":"/paper/2411.17353"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T12:16:38.499859Z","title":"The bitcoin lightning network: Scalable off-chain instant payments,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2411.17353","last_updated":"2024-11-26T11:56:19Z","snapshot_observed_at":"2026-08-12T12:10:30.623470Z","submitted_at":"2024-11-26T11:56:19Z","title":"Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-12T12:16:38.499859Z"},"links":{"citing_paper":"/paper/2411.17353"},"observation_digest":"sha256:f4a548b5847df0d096fc9197ae3e4b39ec2d69c5ff57e4c1f45ff711b19a7815","observation_id":"b3f231a4-45e8-4da6-a713-8d69e1efb614","resolution":{"observed_at":"2026-08-12T12:16:38.499859Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T12:16:38.506030Z","title":"Bitcoin: A peer-to-peer electronic cash system,","venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2411.17353","last_updated":"2024-11-26T11:56:19Z","snapshot_observed_at":"2026-08-12T12:10:30.623470Z","submitted_at":"2024-11-26T11:56:19Z","title":"Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-12T12:16:38.506030Z"},"links":{"citing_paper":"/paper/2411.17353"},"observation_digest":"sha256:5021b68957e957599f9f3a4be7ae0e5a327ee1c061a9d8511da81ae6a59aac1e","observation_id":"abaf10f4-8c7a-49db-88cf-da82c47c01ad","resolution":{"observed_at":"2026-08-12T12:16:38.506030Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T12:16:39.763285Z","title":"A quantitative analysis of security, anonymity and scalability for the lightning network,","venue":null,"work_id":"787ac317-4849-429b-9f76-1fd3dc26aaf8","year":2020},"citing_paper":{"arxiv_id":"2411.17353","last_updated":"2024-11-26T11:56:19Z","snapshot_observed_at":"2026-08-12T12:10:30.623470Z","submitted_at":"2024-11-26T11:56:19Z","title":"Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-12T12:16:38.510737Z"},"links":{"citing_paper":"/paper/2411.17353"},"observation_digest":"sha256:a75f77833db2ca9ae9ef9d5fb8849c15bec5d0577013d0e1e143208ea548849e","observation_id":"a5a6046a-b01a-4f27-be57-4b5dc36a9f09","resolution":{"observed_at":"2026-08-12T12:16:39.768192Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T12:16:39.748803Z","title":"How to profit from payments channels,","venue":null,"work_id":"1ce17e27-f85c-4c47-a0f3-991bdb68bb12","year":2020},"citing_paper":{"arxiv_id":"2411.17353","last_updated":"2024-11-26T11:56:19Z","snapshot_observed_at":"2026-08-12T12:10:30.623470Z","submitted_at":"2024-11-26T11:56:19Z","title":"Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-12T12:16:38.516764Z"},"links":{"citing_paper":"/paper/2411.17353"},"observation_digest":"sha256:45ded68effb365924f7a22bfb2cc233d5a3edb839c54dcd63238630f50d842b0","observation_id":"619c4933-864e-4c6b-9083-187d32aed753","resolution":{"observed_at":"2026-08-12T12:16:39.753458Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T12:16:39.734666Z","title":"Rational economic be- haviours in the bitcoin lightning network,","venue":null,"work_id":"85602266-0b59-4ab9-a9cd-74af01ea7198","year":2024},"citing_paper":{"arxiv_id":"2411.17353","last_updated":"2024-11-26T11:56:19Z","snapshot_observed_at":"2026-08-12T12:10:30.623470Z","submitted_at":"2024-11-26T11:56:19Z","title":"Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-12T12:16:38.521236Z"},"links":{"citing_paper":"/paper/2411.17353"},"observation_digest":"sha256:f041d6ab9d653d925c53fd05124dfc9456a43eef972bdf9624ad36ad80bdee3f","observation_id":"8b0a42dc-a4c9-4b25-a737-e08beadff732","resolution":{"observed_at":"2026-08-12T12:16:39.739095Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T12:16:39.719965Z","title":"Incentives on the lightning network: A blockchain-based payment network,","venue":null,"work_id":"d965ac69-2770-419a-8014-4b6f4c83fac7","year":2020},"citing_paper":{"arxiv_id":"2411.17353","last_updated":"2024-11-26T11:56:19Z","snapshot_observed_at":"2026-08-12T12:10:30.623470Z","submitted_at":"2024-11-26T11:56:19Z","title":"Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-12T12:16:38.525728Z"},"links":{"citing_paper":"/paper/2411.17353"},"observation_digest":"sha256:e49e9fbdc9115a5265087b61b240928d35461da0511e262407de0fd8f36e9e07","observation_id":"eb0ed399-15f8-45f9-91f2-2466e1289178","resolution":{"observed_at":"2026-08-12T12:16:39.725423Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.08197","last_updated":"2022-10-15T05:06:25Z","snapshot_observed_at":"2026-07-06T14:05:58.320475Z","submitted_at":"2022-10-15T05:06:25Z","title":"DyFEn: Agent-Based Fee Setting in Payment Channel Networks","version":1},"cited_work":{"arxiv_id":"2210.08197","doi":null,"metadata_source":"pith","pith_arxiv_id":"2210.08197","snapshot_observed_at":"2026-08-12T12:16:39.081908Z","title":"DyFEn: Agent-Based Fee Setting in Payment Channel Networks","venue":"cs.LG","work_id":"ec40e221-5e0c-43ac-8d71-832019f733fc","year":2022},"citing_paper":{"arxiv_id":"2411.17353","last_updated":"2024-11-26T11:56:19Z","snapshot_observed_at":"2026-08-12T12:10:30.623470Z","submitted_at":"2024-11-26T11:56:19Z","title":"Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-12T12:16:38.530666Z"},"links":{"cited_paper":"/paper/2210.08197","citing_paper":"/paper/2411.17353"},"observation_digest":"sha256:b963cde19b36697eac2cc8e21320c0c9a92822a8ddd7894b96c211a7cc68fbf9","observation_id":"78392177-2e57-45ee-aeab-c8b6c1f9f77d","resolution":{"observed_at":"2026-08-12T12:16:39.086930Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T12:16:39.704976Z","title":"A payment channel net- work fee allocation strategy integrating auction theory,","venue":null,"work_id":"b412249f-1de5-4d60-8b8f-4b4d58de09c1","year":2023},"citing_paper":{"arxiv_id":"2411.17353","last_updated":"2024-11-26T11:56:19Z","snapshot_observed_at":"2026-08-12T12:10:30.623470Z","submitted_at":"2024-11-26T11:56:19Z","title":"Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-12T12:16:38.535573Z"},"links":{"citing_paper":"/paper/2411.17353"},"observation_digest":"sha256:95e4741ba241520ad0770dd6d936a3e1548d559e9db73738ec1d890bfa1eec1c","observation_id":"4ab6152d-4633-42a3-bc54-204dec09590f","resolution":{"observed_at":"2026-08-12T12:16:39.710081Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T12:16:39.688663Z","title":"Learning a scalable algorithm for improving betweenness in the lightning network,","venue":null,"work_id":"bd301d9c-1832-4f67-818a-8257f769a141","year":2022},"citing_paper":{"arxiv_id":"2411.17353","last_updated":"2024-11-26T11:56:19Z","snapshot_observed_at":"2026-08-12T12:10:30.623470Z","submitted_at":"2024-11-26T11:56:19Z","title":"Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-12T12:16:38.540099Z"},"links":{"citing_paper":"/paper/2411.17353"},"observation_digest":"sha256:1f0bfdf7744a0bdb61079416c2be25f5199e6dcdc74cdb0772a6562cb93da38c","observation_id":"c89e8bc7-337d-43a4-bd16-4418092bf0ee","resolution":{"observed_at":"2026-08-12T12:16:39.693428Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T12:16:39.673961Z","title":"Hubs, rebalancing and service providers in the lightning network,","venue":null,"work_id":"196f252e-b254-4a2c-b54a-fd211b282592","year":2019},"citing_paper":{"arxiv_id":"2411.17353","last_updated":"2024-11-26T11:56:19Z","snapshot_observed_at":"2026-08-12T12:10:30.623470Z","submitted_at":"2024-11-26T11:56:19Z","title":"Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-12T12:16:38.545024Z"},"links":{"citing_paper":"/paper/2411.17353"},"observation_digest":"sha256:0d050d88c8260a9d9e09ce750bf0b538bbf2f3671ae7c920fe76a3b562171673","observation_id":"a05324e0-02da-4005-97f0-e7ba60c6d3df","resolution":{"observed_at":"2026-08-12T12:16:39.678623Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T12:16:39.657992Z","title":"Combinatorial pure exploration of multi-armed bandits,","venue":null,"work_id":"8a5e77d9-4eaa-4f37-967a-e35b9cf8656f","year":2014},"citing_paper":{"arxiv_id":"2411.17353","last_updated":"2024-11-26T11:56:19Z","snapshot_observed_at":"2026-08-12T12:10:30.623470Z","submitted_at":"2024-11-26T11:56:19Z","title":"Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-12T12:16:38.549564Z"},"links":{"citing_paper":"/paper/2411.17353"},"observation_digest":"sha256:c41682d81cdfc4b31d4f120bb0322f1c9c5667b60c47426b50ff3e60f4422d64","observation_id":"9cbb9398-6bc0-44d1-87a7-fe06a6e5b21f","resolution":{"observed_at":"2026-08-12T12:16:39.663725Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T12:16:39.643053Z","title":"Combinatorial feature selection problems,","venue":null,"work_id":"961f256a-e8e3-4750-abfe-9cdb53808f3e","year":2000},"citing_paper":{"arxiv_id":"2411.17353","last_updated":"2024-11-26T11:56:19Z","snapshot_observed_at":"2026-08-12T12:10:30.623470Z","submitted_at":"2024-11-26T11:56:19Z","title":"Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-12T12:16:38.554079Z"},"links":{"citing_paper":"/paper/2411.17353"},"observation_digest":"sha256:5f7fa44c88cb079039c86c5bada97b11921257b5be97a11896ffd323a4083f32","observation_id":"6d365e23-3eb0-4974-98fb-86ae0ac2a183","resolution":{"observed_at":"2026-08-12T12:16:39.647781Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T12:16:39.628082Z","title":"The design of mechanisms for resource allocation,","venue":null,"work_id":"811cde43-3d78-4ee1-8b7d-2b28ffde3c04","year":1973},"citing_paper":{"arxiv_id":"2411.17353","last_updated":"2024-11-26T11:56:19Z","snapshot_observed_at":"2026-08-12T12:10:30.623470Z","submitted_at":"2024-11-26T11:56:19Z","title":"Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-12T12:16:38.559040Z"},"links":{"citing_paper":"/paper/2411.17353"},"observation_digest":"sha256:319bf0d339e0c22feeb98ed080d2f6a9facc00364479253d2bf9100fa1733e73","observation_id":"69bf50e2-f7e2-4ae7-a791-a3f019c29592","resolution":{"observed_at":"2026-08-12T12:16:39.632922Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T12:16:38.564142Z","title":"Attention is all you need,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2411.17353","last_updated":"2024-11-26T11:56:19Z","snapshot_observed_at":"2026-08-12T12:10:30.623470Z","submitted_at":"2024-11-26T11:56:19Z","title":"Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-12T12:16:38.564142Z"},"links":{"citing_paper":"/paper/2411.17353"},"observation_digest":"sha256:9dcb4f0fcbf57a2b771cfc1b1da6286fb20e362a847336ff2e671199adbe1962","observation_id":"237bd1ed-dae2-4dd8-b493-b4e773dfce46","resolution":{"observed_at":"2026-08-12T12:16:38.564142Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T12:16:39.602720Z","title":"Topological analysis and simulations on centrality in the lightning network,","venue":null,"work_id":"4fec5192-7737-4aaf-914f-d35080069e91","year":2021},"citing_paper":{"arxiv_id":"2411.17353","last_updated":"2024-11-26T11:56:19Z","snapshot_observed_at":"2026-08-12T12:10:30.623470Z","submitted_at":"2024-11-26T11:56:19Z","title":"Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-12T12:16:38.569198Z"},"links":{"citing_paper":"/paper/2411.17353"},"observation_digest":"sha256:8ec765ba45fa6eff93452b96695b93190dbc1900670c586de1c97c2aca2bf410","observation_id":"ffa0161c-30b3-4471-b4eb-9c627c5853b9","resolution":{"observed_at":"2026-08-12T12:16:39.608099Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1707.06347","last_updated":"2017-08-28T09:20:06Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2017-07-20T02:32:33Z","title":"Proximal Policy Optimization Algorithms","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1707.06347","snapshot_observed_at":"2026-08-12T12:16:38.573810Z","title":"Prox- imal policy optimization algorithms,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2411.17353","last_updated":"2024-11-26T11:56:19Z","snapshot_observed_at":"2026-08-12T12:10:30.623470Z","submitted_at":"2024-11-26T11:56:19Z","title":"Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-12T12:16:38.573810Z"},"links":{"cited_paper":"/paper/1707.06347","citing_paper":"/paper/2411.17353"},"observation_digest":"sha256:630e4f2145a2454795a8432c6811ec47c424059b5d7fe11f8802dd7ac7af945a","observation_id":"3ac4f450-bf3a-4e50-acf5-c018abb5869e","resolution":{"observed_at":"2026-08-12T12:16:38.573810Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T12:16:39.588089Z","title":"Emergent routing strategies in the lightning network,","venue":null,"work_id":"4ceb00f1-58b4-4917-9c0a-6c3c7f057b36","year":2019},"citing_paper":{"arxiv_id":"2411.17353","last_updated":"2024-11-26T11:56:19Z","snapshot_observed_at":"2026-08-12T12:10:30.623470Z","submitted_at":"2024-11-26T11:56:19Z","title":"Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-12T12:16:38.578385Z"},"links":{"citing_paper":"/paper/2411.17353"},"observation_digest":"sha256:350c3e51c4d649de83173230f10d1720f582339f786672d7edd87f4d6bab59df","observation_id":"4163f53e-1f95-4fa0-a6d4-866ef8b43283","resolution":{"observed_at":"2026-08-12T12:16:39.592886Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T12:16:39.573157Z","title":"Aodv–based routing for payment channel networks,","venue":null,"work_id":"16874b6d-f79e-461b-bb5d-3ea26b4ca478","year":2018},"citing_paper":{"arxiv_id":"2411.17353","last_updated":"2024-11-26T11:56:19Z","snapshot_observed_at":"2026-08-12T12:10:30.623470Z","submitted_at":"2024-11-26T11:56:19Z","title":"Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-12T12:16:38.582612Z"},"links":{"citing_paper":"/paper/2411.17353"},"observation_digest":"sha256:faeda8adce9032bea15ce45a0fb5fdde66f7fcd5e1796dbcc07e796b28dc15b2","observation_id":"aca02e0d-362a-43ff-9104-7d8393a06352","resolution":{"observed_at":"2026-08-12T12:16:39.578057Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T12:16:39.558567Z","title":"Flare: An approach to routing in lightning network,","venue":null,"work_id":"385b8fb9-6417-4f8c-b976-e5f0e3300a11","year":2016},"citing_paper":{"arxiv_id":"2411.17353","last_updated":"2024-11-26T11:56:19Z","snapshot_observed_at":"2026-08-12T12:10:30.623470Z","submitted_at":"2024-11-26T11:56:19Z","title":"Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-12T12:16:38.586987Z"},"links":{"citing_paper":"/paper/2411.17353"},"observation_digest":"sha256:c045e3247f2788c28e55b091f02569a468518801a160139280e87170a52af77f","observation_id":"0c3ae607-89aa-4a8e-ae16-ae58c4c09547","resolution":{"observed_at":"2026-08-12T12:16:39.563137Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T12:16:38.591671Z","title":"A note on two problems in connexion with graphs,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2411.17353","last_updated":"2024-11-26T11:56:19Z","snapshot_observed_at":"2026-08-12T12:10:30.623470Z","submitted_at":"2024-11-26T11:56:19Z","title":"Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-12T12:16:38.591671Z"},"links":{"citing_paper":"/paper/2411.17353"},"observation_digest":"sha256:05275712156a895e522bc43afb686665754c9f57bf94ea7eb35bb5fc7c4b1584","observation_id":"26eb85c9-2250-4a29-aaf0-8a1de96d91c0","resolution":{"observed_at":"2026-08-12T12:16:38.591671Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T12:16:39.533944Z","title":"Understanding the lightning network capability to route payments,","venue":null,"work_id":"bdd12e8c-8ce1-4051-a7ab-0f8f00788da6","year":2020},"citing_paper":{"arxiv_id":"2411.17353","last_updated":"2024-11-26T11:56:19Z","snapshot_observed_at":"2026-08-12T12:10:30.623470Z","submitted_at":"2024-11-26T11:56:19Z","title":"Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-12T12:16:38.596658Z"},"links":{"citing_paper":"/paper/2411.17353"},"observation_digest":"sha256:28fc08dd4c89187f645b4ce945fe460c2d03b30dfeaebf9610b66d85a03cfe73","observation_id":"b6ee04a7-9ada-412d-8228-a32594f90626","resolution":{"observed_at":"2026-08-12T12:16:39.538561Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T12:16:39.517474Z","title":"Towards bitcoin payment networks,","venue":null,"work_id":"e645d5b0-1564-466d-8ffd-f159f4e49781","year":2016},"citing_paper":{"arxiv_id":"2411.17353","last_updated":"2024-11-26T11:56:19Z","snapshot_observed_at":"2026-08-12T12:10:30.623470Z","submitted_at":"2024-11-26T11:56:19Z","title":"Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-12T12:16:38.600951Z"},"links":{"citing_paper":"/paper/2411.17353"},"observation_digest":"sha256:e50e446e72c75ce9b309b28823c8f259cadb874c4b708f416a40c520045f8aa5","observation_id":"d67cc799-1c11-4229-ab71-43814f227df6","resolution":{"observed_at":"2026-08-12T12:16:39.522937Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T12:16:39.502685Z","title":"Reinforcement learning: An introduction,","venue":null,"work_id":"819e4c1b-5998-4fa1-84c8-108a390b0394","year":1999},"citing_paper":{"arxiv_id":"2411.17353","last_updated":"2024-11-26T11:56:19Z","snapshot_observed_at":"2026-08-12T12:10:30.623470Z","submitted_at":"2024-11-26T11:56:19Z","title":"Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-12T12:16:38.605239Z"},"links":{"citing_paper":"/paper/2411.17353"},"observation_digest":"sha256:23befb0141946ff427f912a4e8b2a6ac3cd3f6f5498b7a8fc4f633739ef00392","observation_id":"80c33167-998b-4e48-87f0-d00caa81b107","resolution":{"observed_at":"2026-08-12T12:16:39.507262Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1506.02438","last_updated":"2018-10-20T18:55:07Z","snapshot_observed_at":"2026-08-12T21:29:36.308819Z","submitted_at":"2015-06-08T11:12:48Z","title":"High-Dimensional Continuous Control Using Generalized Advantage Estimation","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1506.02438","snapshot_observed_at":"2026-08-12T12:16:38.609462Z","title":"High- dimensional continuous control using generalized advantage estimation,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2411.17353","last_updated":"2024-11-26T11:56:19Z","snapshot_observed_at":"2026-08-12T12:10:30.623470Z","submitted_at":"2024-11-26T11:56:19Z","title":"Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-12T12:16:38.609462Z"},"links":{"cited_paper":"/paper/1506.02438","citing_paper":"/paper/2411.17353"},"observation_digest":"sha256:cf3683c983228f63dda85531b7efcfcacffe3ef71bff4dfba750eb844c12675b","observation_id":"0353c5d2-ad1e-4dd9-9d4a-1fe4d6a214ef","resolution":{"observed_at":"2026-08-12T12:16:38.609462Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T12:16:38.614189Z","title":"A survey of transformers,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2411.17353","last_updated":"2024-11-26T11:56:19Z","snapshot_observed_at":"2026-08-12T12:10:30.623470Z","submitted_at":"2024-11-26T11:56:19Z","title":"Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-12T12:16:38.614189Z"},"links":{"citing_paper":"/paper/2411.17353"},"observation_digest":"sha256:97f8bda4bf90dd174c3e16ad7a47130334ac363c95f78b4393fd9eb38f4847b1","observation_id":"9c7d1b12-f5c6-4bce-81b1-c964c0736e2f","resolution":{"observed_at":"2026-08-12T12:16:38.614189Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1609.02907","last_updated":"2017-02-22T09:55:36Z","snapshot_observed_at":"2026-07-06T05:10:16.862707Z","submitted_at":"2016-09-09T19:48:41Z","title":"Semi-Supervised Classification with Graph Convolutional Networks","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1609.02907","snapshot_observed_at":"2026-08-12T12:16:38.618575Z","title":"Semi-supervised classification with graph convolutional networks,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2411.17353","last_updated":"2024-11-26T11:56:19Z","snapshot_observed_at":"2026-08-12T12:10:30.623470Z","submitted_at":"2024-11-26T11:56:19Z","title":"Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-12T12:16:38.618575Z"},"links":{"cited_paper":"/paper/1609.02907","citing_paper":"/paper/2411.17353"},"observation_digest":"sha256:8a9e0ddb04e832976fab1e647a87b2be1fdcfed3da17fd9aa5c69a1bd0c20a0b","observation_id":"e543c308-2c35-4583-b373-9720a633b6bc","resolution":{"observed_at":"2026-08-12T12:16:38.618575Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1710.10903","last_updated":"2018-02-04T19:13:29Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2017-10-30T12:41:12Z","title":"Graph Attention Networks","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1710.10903","snapshot_observed_at":"2026-08-12T12:16:38.623332Z","title":"Graph attention networks,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2411.17353","last_updated":"2024-11-26T11:56:19Z","snapshot_observed_at":"2026-08-12T12:10:30.623470Z","submitted_at":"2024-11-26T11:56:19Z","title":"Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-12T12:16:38.623332Z"},"links":{"cited_paper":"/paper/1710.10903","citing_paper":"/paper/2411.17353"},"observation_digest":"sha256:4ee5f1b561a63e70cdbd2cc230c88a63533e9d6e2ff3af3633877309f5b2569a","observation_id":"ad078327-8198-4685-9a96-1916bd075672","resolution":{"observed_at":"2026-08-12T12:16:38.623332Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T12:16:38.628221Z","title":"Inductive representation learning on large graphs,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2411.17353","last_updated":"2024-11-26T11:56:19Z","snapshot_observed_at":"2026-08-12T12:10:30.623470Z","submitted_at":"2024-11-26T11:56:19Z","title":"Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-12T12:16:38.628221Z"},"links":{"citing_paper":"/paper/2411.17353"},"observation_digest":"sha256:3276a45f2c863283b25828d299bfc8da5da878f67e2ef5616c0e5ea3390703da","observation_id":"e41b9228-2dde-409e-940b-b4373c2bf86e","resolution":{"observed_at":"2026-08-12T12:16:38.628221Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T12:16:38.632531Z","title":"Neural message passing for quantum chemistry,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2411.17353","last_updated":"2024-11-26T11:56:19Z","snapshot_observed_at":"2026-08-12T12:10:30.623470Z","submitted_at":"2024-11-26T11:56:19Z","title":"Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-12T12:16:38.632531Z"},"links":{"citing_paper":"/paper/2411.17353"},"observation_digest":"sha256:38c0a47d48ba5f9dc8f45218fbd5b7c037646ff4a2d49f898dea6fbb05f26f7d","observation_id":"94b3225a-1832-4626-a426-1c71986071a8","resolution":{"observed_at":"2026-08-12T12:16:38.632531Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T12:16:38.636659Z","title":"Self-attention graph pooling,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2411.17353","last_updated":"2024-11-26T11:56:19Z","snapshot_observed_at":"2026-08-12T12:10:30.623470Z","submitted_at":"2024-11-26T11:56:19Z","title":"Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-12T12:16:38.636659Z"},"links":{"citing_paper":"/paper/2411.17353"},"observation_digest":"sha256:af1bd9eae06080d90ad477be9471e2c1ac00813225b78898cd8d072ba7cae76b","observation_id":"3819f987-ce32-48e1-806d-b585cdd78da4","resolution":{"observed_at":"2026-08-12T12:16:38.636659Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T12:16:38.640811Z","title":"Hierarchical graph representation learning with differentiable pooling,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2411.17353","last_updated":"2024-11-26T11:56:19Z","snapshot_observed_at":"2026-08-12T12:10:30.623470Z","submitted_at":"2024-11-26T11:56:19Z","title":"Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-12T12:16:38.640811Z"},"links":{"citing_paper":"/paper/2411.17353"},"observation_digest":"sha256:f27f8bc21b6c47ffc17ab17c0dd4662bc0c761492e9f9097f40d8882460ae061","observation_id":"ae8c6d73-4bec-4cfd-853e-5a75daf6a8f0","resolution":{"observed_at":"2026-08-12T12:16:38.640811Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T12:16:39.441897Z","title":"An end-to-end deep learning architecture for graph classification,","venue":null,"work_id":"501acd18-6f9c-40da-8b0a-f4e8b344881e","year":2018},"citing_paper":{"arxiv_id":"2411.17353","last_updated":"2024-11-26T11:56:19Z","snapshot_observed_at":"2026-08-12T12:10:30.623470Z","submitted_at":"2024-11-26T11:56:19Z","title":"Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-12T12:16:38.645060Z"},"links":{"citing_paper":"/paper/2411.17353"},"observation_digest":"sha256:d81ef2d9515135cc7187c972fd570fac24c28c4cf54ad26d90451970818c685f","observation_id":"6b9a87fb-bac3-4c15-a09b-9a36362b830a","resolution":{"observed_at":"2026-08-12T12:16:39.447334Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T12:16:38.649278Z","title":"A survey of graph neural networks in real world: Imbalance, noise, privacy and ood challenges,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.17353","last_updated":"2024-11-26T11:56:19Z","snapshot_observed_at":"2026-08-12T12:10:30.623470Z","submitted_at":"2024-11-26T11:56:19Z","title":"Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-12T12:16:38.649278Z"},"links":{"citing_paper":"/paper/2411.17353"},"observation_digest":"sha256:87bb8dbeca5cb94474a49b67ea82682cea1e11174b7fdfcd8512e1c1fe1c0eca","observation_id":"427da71d-2f81-497a-af4d-b8e603508c66","resolution":{"observed_at":"2026-08-12T12:16:38.649278Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T12:16:38.653408Z","title":"The graph neural network model,","venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2411.17353","last_updated":"2024-11-26T11:56:19Z","snapshot_observed_at":"2026-08-12T12:10:30.623470Z","submitted_at":"2024-11-26T11:56:19Z","title":"Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-12T12:16:38.653408Z"},"links":{"citing_paper":"/paper/2411.17353"},"observation_digest":"sha256:4166fb0e5ef11cd96d74e975951073f1ae8f709421ee7820c15a26a8426805f3","observation_id":"844b1324-38f5-4e87-9d3b-5f2647da0e4b","resolution":{"observed_at":"2026-08-12T12:16:38.653408Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1911.09432","last_updated":"2020-07-13T17:39:24Z","snapshot_observed_at":"2026-07-06T08:38:45.000740Z","submitted_at":"2019-11-21T12:12:18Z","title":"A Cryptoeconomic Traffic Analysis of Bitcoin's Lightning Network","version":3},"cited_work":{"arxiv_id":"1911.09432","doi":null,"metadata_source":"pith","pith_arxiv_id":"1911.09432","snapshot_observed_at":"2026-08-12T12:16:38.853647Z","title":"A Cryptoeconomic Traffic Analysis of Bitcoin's Lightning Network","venue":"cs.CR","work_id":"d3c6de42-e3ee-4a2d-94c1-c52f70979957","year":2019},"citing_paper":{"arxiv_id":"2411.17353","last_updated":"2024-11-26T11:56:19Z","snapshot_observed_at":"2026-08-12T12:10:30.623470Z","submitted_at":"2024-11-26T11:56:19Z","title":"Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-12T12:16:38.657490Z"},"links":{"cited_paper":"/paper/1911.09432","citing_paper":"/paper/2411.17353"},"observation_digest":"sha256:a05f374fe1d4feea73f8f9ab7cb8b9a39ab53f0de2c725b81dda8c7c69d6f85c","observation_id":"e5e525e4-8606-4d8b-89e7-cddc58da478f","resolution":{"observed_at":"2026-08-12T12:16:38.861050Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T12:16:39.416724Z","title":"Cloth: A lightning network simulator,","venue":null,"work_id":"a825516b-313a-46dc-bffc-51df123de7d1","year":2021},"citing_paper":{"arxiv_id":"2411.17353","last_updated":"2024-11-26T11:56:19Z","snapshot_observed_at":"2026-08-12T12:10:30.623470Z","submitted_at":"2024-11-26T11:56:19Z","title":"Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-12T12:16:38.662377Z"},"links":{"citing_paper":"/paper/2411.17353"},"observation_digest":"sha256:98b1266777f408be1a4d29ec572b2c6b549d4285c11f8f0d5829e04b38b7adae","observation_id":"d21a0f93-f2e3-4004-b04f-7863098f3a20","resolution":{"observed_at":"2026-08-12T12:16:39.421889Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T12:16:39.400671Z","title":"Controlling graph dynamics with reinforcement learning and graph neural networks,","venue":null,"work_id":"83b6eb11-5129-4c54-8e47-0818de99da55","year":2021},"citing_paper":{"arxiv_id":"2411.17353","last_updated":"2024-11-26T11:56:19Z","snapshot_observed_at":"2026-08-12T12:10:30.623470Z","submitted_at":"2024-11-26T11:56:19Z","title":"Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-12T12:16:38.667387Z"},"links":{"citing_paper":"/paper/2411.17353"},"observation_digest":"sha256:3994f275c36e944d5a588fd29cccded338e694199721d3084ceb6c293eb146b2","observation_id":"8ffb71d9-9b29-46fa-8568-755c26e18726","resolution":{"observed_at":"2026-08-12T12:16:39.405623Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T12:16:39.385567Z","title":"Discharged payment chan- nels: Quantifying the lightning network’s resilience to topology-based attacks,","venue":null,"work_id":"925b5484-057e-48b6-80d6-c1750d6c1b4d","year":2019},"citing_paper":{"arxiv_id":"2411.17353","last_updated":"2024-11-26T11:56:19Z","snapshot_observed_at":"2026-08-12T12:10:30.623470Z","submitted_at":"2024-11-26T11:56:19Z","title":"Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-12T12:16:38.671988Z"},"links":{"citing_paper":"/paper/2411.17353"},"observation_digest":"sha256:9e44be09eed7d78b9728058f46664819c969b272645153ae22757083aa59be2d","observation_id":"ec3d85e5-ad38-4a6b-8cbb-35844d78b316","resolution":{"observed_at":"2026-08-12T12:16:39.390208Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T12:16:39.371159Z","title":"The evolving topology of the lightning network: Centralization, efficiency, robustness, synchronization, and anonymity,","venue":null,"work_id":"165d87f2-50f7-4b79-b176-1697b28fb0be","year":2020},"citing_paper":{"arxiv_id":"2411.17353","last_updated":"2024-11-26T11:56:19Z","snapshot_observed_at":"2026-08-12T12:10:30.623470Z","submitted_at":"2024-11-26T11:56:19Z","title":"Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-12T12:16:38.676611Z"},"links":{"citing_paper":"/paper/2411.17353"},"observation_digest":"sha256:ebb8436109dbe390c5cc6c7d0a7d7376d6431909404c3aa4a272f88ba9e0cbbe","observation_id":"4736ef6e-9311-4b16-bc11-7f73729ac665","resolution":{"observed_at":"2026-08-12T12:16:39.375976Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T12:16:39.356556Z","title":"Little ball of fur: a python library for graph sampling,","venue":null,"work_id":"a25f7b31-7b25-447e-a19d-df11f3e216b6","year":2020},"citing_paper":{"arxiv_id":"2411.17353","last_updated":"2024-11-26T11:56:19Z","snapshot_observed_at":"2026-08-12T12:10:30.623470Z","submitted_at":"2024-11-26T11:56:19Z","title":"Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-12T12:16:38.681407Z"},"links":{"citing_paper":"/paper/2411.17353"},"observation_digest":"sha256:d6e2917ccb4711220d59523f1d2ca19346e776bd7fdbdf4b6ea5b28fabc77d07","observation_id":"2cba68a3-8b93-4f54-acb6-bcc3d372b800","resolution":{"observed_at":"2026-08-12T12:16:39.361377Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T12:16:39.342182Z","title":"Sampling from large graphs,","venue":null,"work_id":"696f0a51-8ade-40b1-9303-068d4a5e6f7b","year":2006},"citing_paper":{"arxiv_id":"2411.17353","last_updated":"2024-11-26T11:56:19Z","snapshot_observed_at":"2026-08-12T12:10:30.623470Z","submitted_at":"2024-11-26T11:56:19Z","title":"Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-12T12:16:38.685701Z"},"links":{"citing_paper":"/paper/2411.17353"},"observation_digest":"sha256:233519c8732347ca687c73a051c8ae3203507c7462df5902993fb587ffb964ac","observation_id":"31703898-4ab0-4c95-82b3-819d884e1264","resolution":{"observed_at":"2026-08-12T12:16:39.346623Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1606.01540","last_updated":"2016-06-05T17:54:48Z","snapshot_observed_at":"2026-08-12T05:40:07.199512Z","submitted_at":"2016-06-05T17:54:48Z","title":"OpenAI Gym","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1606.01540","snapshot_observed_at":"2026-08-12T12:16:38.690055Z","title":"Openai gym,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2411.17353","last_updated":"2024-11-26T11:56:19Z","snapshot_observed_at":"2026-08-12T12:10:30.623470Z","submitted_at":"2024-11-26T11:56:19Z","title":"Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-12T12:16:38.690055Z"},"links":{"cited_paper":"/paper/1606.01540","citing_paper":"/paper/2411.17353"},"observation_digest":"sha256:3f98fad435ee8510748a1fca469e847fbae891799e321f5188a9ad5ab8247dae","observation_id":"4e53976f-e4b5-48c6-8a18-f7ce6459ac36","resolution":{"observed_at":"2026-08-12T12:16:38.690055Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T12:16:38.694651Z","title":"Stable-baselines3: Reliable reinforcement learning implementa- tions,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2411.17353","last_updated":"2024-11-26T11:56:19Z","snapshot_observed_at":"2026-08-12T12:10:30.623470Z","submitted_at":"2024-11-26T11:56:19Z","title":"Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-12T12:16:38.694651Z"},"links":{"citing_paper":"/paper/2411.17353"},"observation_digest":"sha256:009c09cb9e631e3235ab9c7cbca83ddd2ef5cdf067c3861d407004120935b5ba","observation_id":"51ba4037-dad1-4bd7-b73a-87f6a5b06252","resolution":{"observed_at":"2026-08-12T12:16:38.694651Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T12:16:39.317015Z","title":"Analyzing and mitigating the centralization tendency of the lightning network,","venue":null,"work_id":"0e670356-6466-445c-bbb1-0152af7cf335","year":2023},"citing_paper":{"arxiv_id":"2411.17353","last_updated":"2024-11-26T11:56:19Z","snapshot_observed_at":"2026-08-12T12:10:30.623470Z","submitted_at":"2024-11-26T11:56:19Z","title":"Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-12T12:16:38.699136Z"},"links":{"citing_paper":"/paper/2411.17353"},"observation_digest":"sha256:42a0890a1def3cdf913bcbf80484d9e094e16a37292a4c7c02682f92745cdc70","observation_id":"cbd79940-f737-461e-965f-852ede58ad7f","resolution":{"observed_at":"2026-08-12T12:16:39.321770Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1902.07307","last_updated":"2019-01-25T21:10:04Z","snapshot_observed_at":"2026-08-08T09:57:32.580319Z","submitted_at":"2019-01-25T21:10:04Z","title":"The evolution of Lightning Network's Topology during its first year and the influence over its core values","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1902.07307","snapshot_observed_at":"2026-08-12T12:16:38.703386Z","title":"The evolution of lightning network’s topology during its first year and the influence over its core values,","venue":null,"work_id":null,"year":1902},"citing_paper":{"arxiv_id":"2411.17353","last_updated":"2024-11-26T11:56:19Z","snapshot_observed_at":"2026-08-12T12:10:30.623470Z","submitted_at":"2024-11-26T11:56:19Z","title":"Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-12T12:16:38.703386Z"},"links":{"cited_paper":"/paper/1902.07307","citing_paper":"/paper/2411.17353"},"observation_digest":"sha256:4d2ff4a2d99a853669d9721e558092aba833546f21ab8df816ea2685d145dbb2","observation_id":"13c35b3e-096a-4eab-886b-d39a2dd45670","resolution":{"observed_at":"2026-08-12T12:16:38.703386Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T12:16:39.302548Z","title":"An analysis of the decentralization and effectiveness of lightning network,","venue":null,"work_id":"5a74f91b-f024-4438-a765-d9a2202e4ec9","year":2022},"citing_paper":{"arxiv_id":"2411.17353","last_updated":"2024-11-26T11:56:19Z","snapshot_observed_at":"2026-08-12T12:10:30.623470Z","submitted_at":"2024-11-26T11:56:19Z","title":"Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-12T12:16:38.707924Z"},"links":{"citing_paper":"/paper/2411.17353"},"observation_digest":"sha256:38312a75cf4ae284cfded6bfac9332b07c2d0903affcba3f83dff71f4492de75","observation_id":"e97076b7-bfcc-4d95-93b6-782e787ffae6","resolution":{"observed_at":"2026-08-12T12:16:39.307276Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T12:16:39.287440Z","title":"A centrality analysis of the lightning network,","venue":null,"work_id":"c5ec4dc7-f382-49c5-8e02-96bf8eab964c","year":2024},"citing_paper":{"arxiv_id":"2411.17353","last_updated":"2024-11-26T11:56:19Z","snapshot_observed_at":"2026-08-12T12:10:30.623470Z","submitted_at":"2024-11-26T11:56:19Z","title":"Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-12T12:16:38.712235Z"},"links":{"citing_paper":"/paper/2411.17353"},"observation_digest":"sha256:65c75d2e96b9e32d979eb7bcd51988e72c85c212e59436317bd75bd059147de0","observation_id":"1ed46505-abc7-4f14-b1e5-2ff58072e7a8","resolution":{"observed_at":"2026-08-12T12:16:39.293008Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T12:16:39.271656Z","title":"On the impact of attachment strategies for payment channel networks,","venue":null,"work_id":"2b37c45f-290d-4e0d-9fab-3dfe0d0b6a73","year":2021},"citing_paper":{"arxiv_id":"2411.17353","last_updated":"2024-11-26T11:56:19Z","snapshot_observed_at":"2026-08-12T12:10:30.623470Z","submitted_at":"2024-11-26T11:56:19Z","title":"Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-12T12:16:38.716596Z"},"links":{"citing_paper":"/paper/2411.17353"},"observation_digest":"sha256:b18d0228e043f75b16bd985417f72fa65cf949d4493cd37b3c94a0293b28ca68","observation_id":"edcb4266-57bd-476c-8e0f-d258300f43bc","resolution":{"observed_at":"2026-08-12T12:16:39.277620Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T12:16:39.257138Z","title":"Some effects of unequal distribution of information upon group performance in various communication nets","venue":null,"work_id":"b5134f84-bd29-4618-a645-d4f38185b314","year":1954},"citing_paper":{"arxiv_id":"2411.17353","last_updated":"2024-11-26T11:56:19Z","snapshot_observed_at":"2026-08-12T12:10:30.623470Z","submitted_at":"2024-11-26T11:56:19Z","title":"Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-12T12:16:38.720838Z"},"links":{"citing_paper":"/paper/2411.17353"},"observation_digest":"sha256:641dbd876bd8028d84154b7548c804c5cee0556f3b514a93fadfdaf351770737","observation_id":"244412cf-d14b-43d6-9097-3c36f6d5fbb7","resolution":{"observed_at":"2026-08-12T12:16:39.261818Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T12:16:38.725314Z","title":"A set of measures of centrality based on betweenness,","venue":null,"work_id":null,"year":1977},"citing_paper":{"arxiv_id":"2411.17353","last_updated":"2024-11-26T11:56:19Z","snapshot_observed_at":"2026-08-12T12:10:30.623470Z","submitted_at":"2024-11-26T11:56:19Z","title":"Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-12T12:16:38.725314Z"},"links":{"citing_paper":"/paper/2411.17353"},"observation_digest":"sha256:476b7998255e0fa84555d525087f7bb2fa786ecc26d889406f70504bdd693b34","observation_id":"21ac5c06-f4bb-4012-b28e-5f7442ba5c51","resolution":{"observed_at":"2026-08-12T12:16:38.725314Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T12:16:39.230711Z","title":"Rethinking centrality: Methods and examples,","venue":null,"work_id":"ed412633-38d7-4198-8858-70a4223064fc","year":1989},"citing_paper":{"arxiv_id":"2411.17353","last_updated":"2024-11-26T11:56:19Z","snapshot_observed_at":"2026-08-12T12:10:30.623470Z","submitted_at":"2024-11-26T11:56:19Z","title":"Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-12T12:16:38.729580Z"},"links":{"citing_paper":"/paper/2411.17353"},"observation_digest":"sha256:d1d6d42912bb9585a2773d00691a246e6b06adc9be8167fe445706eb7ce2e1e2","observation_id":"f1118f84-afea-4b8f-8697-35f6d5fca36c","resolution":{"observed_at":"2026-08-12T12:16:39.236177Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T12:16:39.214751Z","title":"Communication patterns in task-oriented groups,","venue":null,"work_id":"ff4e50b8-28d2-4789-95b4-d9063e296cb5","year":1950},"citing_paper":{"arxiv_id":"2411.17353","last_updated":"2024-11-26T11:56:19Z","snapshot_observed_at":"2026-08-12T12:10:30.623470Z","submitted_at":"2024-11-26T11:56:19Z","title":"Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-12T12:16:38.734320Z"},"links":{"citing_paper":"/paper/2411.17353"},"observation_digest":"sha256:a78e7c3995a3f95ee3e5a31c1058cd832efdf63cb85fbd1a7d4287781c6f7324","observation_id":"2a134ce1-4e7b-4635-851b-e683b5773c10","resolution":{"observed_at":"2026-08-12T12:16:39.219652Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T12:16:39.199004Z","title":"Shannon entropy, renyi entropy, and information,","venue":null,"work_id":"91f87101-f531-4190-b77f-6ce7fe5328b7","year":2004},"citing_paper":{"arxiv_id":"2411.17353","last_updated":"2024-11-26T11:56:19Z","snapshot_observed_at":"2026-08-12T12:10:30.623470Z","submitted_at":"2024-11-26T11:56:19Z","title":"Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-12T12:16:38.738641Z"},"links":{"citing_paper":"/paper/2411.17353"},"observation_digest":"sha256:549d3132abac2f243c3b8141dd7e473d57d4efe9afa8b7777a8479ffa83a618d","observation_id":"f83da086-5da9-431e-ac03-4c01e67cc560","resolution":{"observed_at":"2026-08-12T12:16:39.204680Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T12:16:39.183239Z","title":"The estimation of the lorenz curve and gini index,","venue":null,"work_id":"d1e91ef5-1b30-4947-82b2-59da5d59e731","year":1972},"citing_paper":{"arxiv_id":"2411.17353","last_updated":"2024-11-26T11:56:19Z","snapshot_observed_at":"2026-08-12T12:10:30.623470Z","submitted_at":"2024-11-26T11:56:19Z","title":"Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-12T12:16:38.743055Z"},"links":{"citing_paper":"/paper/2411.17353"},"observation_digest":"sha256:97d54099a89296712709bab8fca9954df9b38d4477d95c76875b347526781ebc","observation_id":"2cc95781-a919-44d2-9c3c-8b8d73e8dc62","resolution":{"observed_at":"2026-08-12T12:16:39.188182Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T12:16:39.167846Z","title":"A new definition of modularity for community detection in complex networks,","venue":null,"work_id":"f66def9f-0844-48de-8445-16c4db4bff78","year":2012},"citing_paper":{"arxiv_id":"2411.17353","last_updated":"2024-11-26T11:56:19Z","snapshot_observed_at":"2026-08-12T12:10:30.623470Z","submitted_at":"2024-11-26T11:56:19Z","title":"Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-12T12:16:38.747509Z"},"links":{"citing_paper":"/paper/2411.17353"},"observation_digest":"sha256:7d2005a96e0f18ac37c66b2359ea163affaaec662eaeac135aac7915059a3004","observation_id":"d5d93f2f-775b-4dcc-8795-491dab17206c","resolution":{"observed_at":"2026-08-12T12:16:39.173158Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T12:16:39.151025Z","title":"Generalized louvain method for community detection in large networks,","venue":null,"work_id":"52948cce-8117-4e1e-9cd4-756a712880a1","year":2011},"citing_paper":{"arxiv_id":"2411.17353","last_updated":"2024-11-26T11:56:19Z","snapshot_observed_at":"2026-08-12T12:10:30.623470Z","submitted_at":"2024-11-26T11:56:19Z","title":"Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-12T12:16:38.751838Z"},"links":{"citing_paper":"/paper/2411.17353"},"observation_digest":"sha256:2a549ac59466ca28f835cd8d19949b38f197706d19c44780acef065f49ce3f22","observation_id":"97e613af-5d80-4f93-b099-86cd05ed00ab","resolution":{"observed_at":"2026-08-12T12:16:39.156079Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2105.14491","last_updated":"2022-01-31T07:20:20Z","snapshot_observed_at":"2026-07-06T11:14:04.454155Z","submitted_at":"2021-05-30T10:17:58Z","title":"How Attentive are Graph Attention Networks?","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2105.14491","snapshot_observed_at":"2026-08-12T12:16:38.756092Z","title":"How attentive are graph attention networks?","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2411.17353","last_updated":"2024-11-26T11:56:19Z","snapshot_observed_at":"2026-08-12T12:10:30.623470Z","submitted_at":"2024-11-26T11:56:19Z","title":"Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-12T12:16:38.756092Z"},"links":{"cited_paper":"/paper/2105.14491","citing_paper":"/paper/2411.17353"},"observation_digest":"sha256:3e598fac15d42c4eb0bd79712f5ac1fb0b00735f9d975e63d82b19211512e5c6","observation_id":"ef8c52e1-19f4-486d-84c4-5e7756e8ddac","resolution":{"observed_at":"2026-08-12T12:16:38.756092Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T12:16:38.760767Z","title":"Emergence of scaling in random net- works,","venue":null,"work_id":null,"year":1999},"citing_paper":{"arxiv_id":"2411.17353","last_updated":"2024-11-26T11:56:19Z","snapshot_observed_at":"2026-08-12T12:10:30.623470Z","submitted_at":"2024-11-26T11:56:19Z","title":"Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-12T12:16:38.760767Z"},"links":{"citing_paper":"/paper/2411.17353"},"observation_digest":"sha256:04f28a6c764accfc39cfe3a4682239b2d924f6836bb68b7900d9ce66bf1d4420","observation_id":"5b877b47-b456-460e-8518-bc272a4688ef","resolution":{"observed_at":"2026-08-12T12:16:38.760767Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T12:16:39.126893Z","title":"is the barabasi albert model a reasonable choice for the autopilot,","venue":null,"work_id":"690e1dcc-7077-4209-b4b4-92bc8428a3f5","year":2018},"citing_paper":{"arxiv_id":"2411.17353","last_updated":"2024-11-26T11:56:19Z","snapshot_observed_at":"2026-08-12T12:10:30.623470Z","submitted_at":"2024-11-26T11:56:19Z","title":"Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-12T12:16:38.765041Z"},"links":{"citing_paper":"/paper/2411.17353"},"observation_digest":"sha256:5f173e5e7c1afa9f042551ca746550539776506afa4404cdb77e889bd4fc03e9","observation_id":"9ad2cd20-d37a-4738-9065-52d43812bcfc","resolution":{"observed_at":"2026-08-12T12:16:39.131681Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T12:16:39.112209Z","title":"Designing and evaluating rebalancing algorithms for payment channel networks,","venue":null,"work_id":"5b4611eb-6bf3-4855-9246-31f58b0e9cf2","year":2019},"citing_paper":{"arxiv_id":"2411.17353","last_updated":"2024-11-26T11:56:19Z","snapshot_observed_at":"2026-08-12T12:10:30.623470Z","submitted_at":"2024-11-26T11:56:19Z","title":"Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-12T12:16:38.769986Z"},"links":{"citing_paper":"/paper/2411.17353"},"observation_digest":"sha256:aded2af30503e35e4bf45bffbc7a3cb1e02da7669ec82a8d52e355ea555670ce","observation_id":"14fd0f13-416c-431f-a90f-be7136ae070e","resolution":{"observed_at":"2026-08-12T12:16:39.116811Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T12:16:39.097930Z","title":"Topological analysis of bitcoin’s lightning network,","venue":null,"work_id":"38a2c7ce-3864-4adc-b268-6c12b3f23bd9","year":2019},"citing_paper":{"arxiv_id":"2411.17353","last_updated":"2024-11-26T11:56:19Z","snapshot_observed_at":"2026-08-12T12:10:30.623470Z","submitted_at":"2024-11-26T11:56:19Z","title":"Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-12T12:16:38.774602Z"},"links":{"citing_paper":"/paper/2411.17353"},"observation_digest":"sha256:a5c20611f36db67a3a1866c29f589d52bf3f61f7d7c52d991913c63ed712e13b","observation_id":"326a3ccc-640c-424e-918e-c12654901065","resolution":{"observed_at":"2026-08-12T12:16:39.102316Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2411.17353","last_updated":"2024-11-26T11:56:19Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-12T12:10:30.623470Z","submitted_at":"2024-11-26T11:56:19Z","title":"Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning"},"reference_resolution":{"displayed":61,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":21,"verified_exact":2,"verified_fuzzy":38},"total_outbound_references":61},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"thesis":"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."}