{"as_of":"2026-08-19T23:33:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:1948f30370a8a2ce6cbf3eaf77e2ebf9699d8f7175f0502d60869bd6940b8c48","coverage":[{"denominator":17,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":17,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T11:26:13.602868Z","state":"measured"},{"denominator":17,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":17,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-19T06:32:44.657259+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2506.02458/citation-record","integrity":"/paper/2506.02458/integrity","json":"/paper/2506.02458/citation-record.json","paper":"/paper/2506.02458"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:26:14.347691Z","title":"Toward a unified elastic computing platform for smartphones with cloud support.IEEE Network, 27(5):34–40, 2013","venue":null,"work_id":"c8923ca1-7f3a-4f63-af57-a48963f7f0f1","year":2013},"citing_paper":{"arxiv_id":"2506.02458","last_updated":"2025-06-03T05:22:02Z","snapshot_observed_at":"2026-08-16T18:17:10.483802Z","submitted_at":"2025-06-03T05:22:02Z","title":"A Novel Deep Reinforcement Learning Method for Computation Offloading in Multi-User Mobile Edge Computing with Decentralization","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T11:26:13.491110Z"},"links":{"citing_paper":"/paper/2506.02458"},"observation_digest":"sha256:5fc837ecacea505479ca3ca59847e326a81097f2712e29cf1a7f58048af6f9b7","observation_id":"d0c45a2c-0411-4f2b-9739-87b5bbfbfcfe","resolution":{"observed_at":"2026-08-07T11:26:14.357209Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-07T11:26:14.318955Z","title":"The emergence of edge computing.Com- puter, 50(1):30–39, 2017","venue":null,"work_id":"4b431b0b-553d-4ac8-b2f0-d9ce2391913d","year":2017},"citing_paper":{"arxiv_id":"2506.02458","last_updated":"2025-06-03T05:22:02Z","snapshot_observed_at":"2026-08-16T18:17:10.483802Z","submitted_at":"2025-06-03T05:22:02Z","title":"A Novel Deep Reinforcement Learning Method for Computation Offloading in Multi-User Mobile Edge Computing with Decentralization","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T11:26:13.498016Z"},"links":{"citing_paper":"/paper/2506.02458"},"observation_digest":"sha256:25946054235430de802300da4d997cd386c3997b05251c90b8911c282d3b9a04","observation_id":"f7dda1f4-c496-47ce-9525-fc21c7212473","resolution":{"observed_at":"2026-08-07T11:26:14.332934Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-07T11:26:14.293158Z","title":"Online learning for offloading and autoscaling in energy harvesting mobile edge computing, 2017","venue":null,"work_id":"a7a18598-0ec2-4f18-9ee5-415cb1d87bf4","year":2017},"citing_paper":{"arxiv_id":"2506.02458","last_updated":"2025-06-03T05:22:02Z","snapshot_observed_at":"2026-08-16T18:17:10.483802Z","submitted_at":"2025-06-03T05:22:02Z","title":"A Novel Deep Reinforcement Learning Method for Computation Offloading in Multi-User Mobile Edge Computing with Decentralization","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T11:26:13.503725Z"},"links":{"citing_paper":"/paper/2506.02458"},"observation_digest":"sha256:33365b500bc8d6bb384d2581ea8260b5647dd514b8057e854e549d90be7a8f65","observation_id":"32f16a89-92dd-4e92-8275-619ee6eeebbb","resolution":{"observed_at":"2026-08-07T11:26:14.309678Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-07T11:26:14.253869Z","title":null,"venue":null,"work_id":"3d733132-49a0-42ad-985c-b8b3fe235414","year":2018},"citing_paper":{"arxiv_id":"2506.02458","last_updated":"2025-06-03T05:22:02Z","snapshot_observed_at":"2026-08-16T18:17:10.483802Z","submitted_at":"2025-06-03T05:22:02Z","title":"A Novel Deep Reinforcement Learning Method for Computation Offloading in Multi-User Mobile Edge Computing with Decentralization","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T11:26:13.511103Z"},"links":{"citing_paper":"/paper/2506.02458"},"observation_digest":"sha256:7eabcf8f0e240d12083261049a60d7a1ba914efd4a83165d49e5cf0db28b53b3","observation_id":"c649df4e-fb9a-43e5-8237-d00c79eaa4f0","resolution":{"observed_at":"2026-08-07T11:26:14.271885Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-07T11:26:14.213157Z","title":null,"venue":null,"work_id":"0cc14638-ded5-4810-915c-0cdd905828be","year":2018},"citing_paper":{"arxiv_id":"2506.02458","last_updated":"2025-06-03T05:22:02Z","snapshot_observed_at":"2026-08-16T18:17:10.483802Z","submitted_at":"2025-06-03T05:22:02Z","title":"A Novel Deep Reinforcement Learning Method for Computation Offloading in Multi-User Mobile Edge Computing with Decentralization","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T11:26:13.517429Z"},"links":{"citing_paper":"/paper/2506.02458"},"observation_digest":"sha256:4f5b5fa746bd89bb787ec86c0da0aabad2ebfbb649875c41e826de83376e5180","observation_id":"6840f75e-eb84-411d-8924-42f4f04e9745","resolution":{"observed_at":"2026-08-07T11:26:14.233847Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-07T11:26:13.525127Z","title":"Rusu, Joel Veness, Marc G","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2506.02458","last_updated":"2025-06-03T05:22:02Z","snapshot_observed_at":"2026-08-16T18:17:10.483802Z","submitted_at":"2025-06-03T05:22:02Z","title":"A Novel Deep Reinforcement Learning Method for Computation Offloading in Multi-User Mobile Edge Computing with Decentralization","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T11:26:13.525127Z"},"links":{"citing_paper":"/paper/2506.02458"},"observation_digest":"sha256:61b62daf35cce4ef0f199035a7f95365d539956f446b27b23ccb60f30a962fa0","observation_id":"7bf78ec2-c90c-43c9-b722-978e9d2fe0c2","resolution":{"observed_at":"2026-08-07T11:26:13.525127Z","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":"2026-08-07T11:26:14.151720Z","title":"Decentralized computation offloading for multi-user mobile edge computing: a deep reinforcement learning approach.EURASIP J","venue":null,"work_id":"fd8f322e-dbed-4677-aa41-cf7152e39fe1","year":2020},"citing_paper":{"arxiv_id":"2506.02458","last_updated":"2025-06-03T05:22:02Z","snapshot_observed_at":"2026-08-16T18:17:10.483802Z","submitted_at":"2025-06-03T05:22:02Z","title":"A Novel Deep Reinforcement Learning Method for Computation Offloading in Multi-User Mobile Edge Computing with Decentralization","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T11:26:13.531026Z"},"links":{"citing_paper":"/paper/2506.02458"},"observation_digest":"sha256:f0a04c0e0cf67e994dbad7ecac6b6a469a1a9a75e9445a56324f8f450e8ef046","observation_id":"171e158d-bdab-46bf-add8-a14dd5ff9e68","resolution":{"observed_at":"2026-08-07T11:26:14.174972Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1702.05309","last_updated":"2017-03-13T12:27:34Z","snapshot_observed_at":"2026-08-14T21:16:02.121232Z","submitted_at":"2017-02-17T11:50:38Z","title":"Mobile Edge Computing: A Survey on Architecture and Computation Offloading","version":2},"cited_work":{"arxiv_id":"1702.05309","doi":null,"metadata_source":"pith","pith_arxiv_id":"1702.05309","snapshot_observed_at":"2026-08-07T11:26:13.648105Z","title":"Mobile Edge Computing: A Survey on Architecture and Computation Offloading","venue":"cs.IT","work_id":"9fb75f9d-6206-415f-a3d4-de16d96be8d7","year":2017},"citing_paper":{"arxiv_id":"2506.02458","last_updated":"2025-06-03T05:22:02Z","snapshot_observed_at":"2026-08-16T18:17:10.483802Z","submitted_at":"2025-06-03T05:22:02Z","title":"A Novel Deep Reinforcement Learning Method for Computation Offloading in Multi-User Mobile Edge Computing with Decentralization","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T11:26:13.542970Z"},"links":{"cited_paper":"/paper/1702.05309","citing_paper":"/paper/2506.02458"},"observation_digest":"sha256:53eb4ae0feaa74e22807925db09060b7677935a75bd2761c5e7b6cedb098425c","observation_id":"80c91fd1-3e81-4a7b-98b5-5da901dbfe9e","resolution":{"observed_at":"2026-08-07T11:26:13.675952Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-07T11:26:14.080437Z","title":"Power- delay tradeoff in multi-user mobile-edge computing systems.2016 IEEE Global Communications Conference (GLOBECOM), pages 1–6, 2016","venue":null,"work_id":"26db6d27-a4a3-4fb8-a3fb-12ba1c779dbf","year":2016},"citing_paper":{"arxiv_id":"2506.02458","last_updated":"2025-06-03T05:22:02Z","snapshot_observed_at":"2026-08-16T18:17:10.483802Z","submitted_at":"2025-06-03T05:22:02Z","title":"A Novel Deep Reinforcement Learning Method for Computation Offloading in Multi-User Mobile Edge Computing with Decentralization","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T11:26:13.550622Z"},"links":{"citing_paper":"/paper/2506.02458"},"observation_digest":"sha256:b8d9ab0c1f5b758193819747d677ab2cf7d494732f1569c6c912a061fb154d11","observation_id":"95823bd1-aeb0-4c25-9000-c060daa1fd55","resolution":{"observed_at":"2026-08-07T11:26:14.111882Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-07T11:26:14.008548Z","title":null,"venue":null,"work_id":"32844d24-6fa9-4e33-8ab3-c43613a79826","year":2022},"citing_paper":{"arxiv_id":"2506.02458","last_updated":"2025-06-03T05:22:02Z","snapshot_observed_at":"2026-08-16T18:17:10.483802Z","submitted_at":"2025-06-03T05:22:02Z","title":"A Novel Deep Reinforcement Learning Method for Computation Offloading in Multi-User Mobile Edge Computing with Decentralization","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T11:26:13.558821Z"},"links":{"citing_paper":"/paper/2506.02458"},"observation_digest":"sha256:17cfc6f0dd226ffa50992b8e7befa2cdec2ac9fc9936bfca8790dbf824b36523","observation_id":"cd7e657b-4621-43f9-acaf-7f29a147079f","resolution":{"observed_at":"2026-08-07T11:26:14.039926Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-07T11:26:13.946510Z","title":"Prasobh Sankar and Sundeep Prabhakar Chepuri","venue":null,"work_id":"22598939-7601-482c-9aeb-41bf127a3636","year":2022},"citing_paper":{"arxiv_id":"2506.02458","last_updated":"2025-06-03T05:22:02Z","snapshot_observed_at":"2026-08-16T18:17:10.483802Z","submitted_at":"2025-06-03T05:22:02Z","title":"A Novel Deep Reinforcement Learning Method for Computation Offloading in Multi-User Mobile Edge Computing with Decentralization","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T11:26:13.565327Z"},"links":{"citing_paper":"/paper/2506.02458"},"observation_digest":"sha256:8ae30fc2a238c13007bf5f750d234a1a23a3e0f9fae4144448a673650a90bdcf","observation_id":"2bc1882d-ebd4-4e45-9195-a32ee7c25e6a","resolution":{"observed_at":"2026-08-07T11:26:13.966984Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-07T11:26:13.882183Z","title":"Larsson, and Thomas L","venue":null,"work_id":"833ab664-21ec-407f-a3b7-3af940efb832","year":2013},"citing_paper":{"arxiv_id":"2506.02458","last_updated":"2025-06-03T05:22:02Z","snapshot_observed_at":"2026-08-16T18:17:10.483802Z","submitted_at":"2025-06-03T05:22:02Z","title":"A Novel Deep Reinforcement Learning Method for Computation Offloading in Multi-User Mobile Edge Computing with Decentralization","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T11:26:13.571493Z"},"links":{"citing_paper":"/paper/2506.02458"},"observation_digest":"sha256:f003f9cb76810a2c2f0c370f9c0165e43a8b68906305cbab43792e24a76a6c86","observation_id":"a46f3b8a-2760-46b5-8f3e-7b0b8a5729cd","resolution":{"observed_at":"2026-08-07T11:26:13.913454Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-07T11:26:13.817523Z","title":"Dream: Dynamic resource and task allocation for energy minimization in mobile cloud systems.IEEE Journal on Selected Areas in Communications, 33(12):2510–2523, 2015","venue":null,"work_id":"ce00321c-4fe0-4919-a503-525d6469413a","year":2015},"citing_paper":{"arxiv_id":"2506.02458","last_updated":"2025-06-03T05:22:02Z","snapshot_observed_at":"2026-08-16T18:17:10.483802Z","submitted_at":"2025-06-03T05:22:02Z","title":"A Novel Deep Reinforcement Learning Method for Computation Offloading in Multi-User Mobile Edge Computing with Decentralization","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T11:26:13.577050Z"},"links":{"citing_paper":"/paper/2506.02458"},"observation_digest":"sha256:8ef546d5bfb6d20a3adf79abe4d522f06a3f68fb0b81c28f9dbd9c60aba09efa","observation_id":"cd358bd2-5326-4f89-9c45-a02fc1a14331","resolution":{"observed_at":"2026-08-07T11:26:13.851836Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-07T11:26:13.772988Z","title":"Burd and Robert W","venue":null,"work_id":"1c959b31-eb9f-4610-824b-b475dc9cc89d","year":1996},"citing_paper":{"arxiv_id":"2506.02458","last_updated":"2025-06-03T05:22:02Z","snapshot_observed_at":"2026-08-16T18:17:10.483802Z","submitted_at":"2025-06-03T05:22:02Z","title":"A Novel Deep Reinforcement Learning Method for Computation Offloading in Multi-User Mobile Edge Computing with Decentralization","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T11:26:13.585304Z"},"links":{"citing_paper":"/paper/2506.02458"},"observation_digest":"sha256:cfa60060d431ebca5950629102954a41e7ef8572ded194fe17999c8be82a68fd","observation_id":"0c4d1f93-b724-40b6-889c-3d4724eaa1fb","resolution":{"observed_at":"2026-08-07T11:26:13.787417Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-07T11:26:13.720115Z","title":"Miettinen and Jukka K","venue":null,"work_id":"dd25fdeb-1fa7-4196-b398-7b84b9e3fc68","year":2010},"citing_paper":{"arxiv_id":"2506.02458","last_updated":"2025-06-03T05:22:02Z","snapshot_observed_at":"2026-08-16T18:17:10.483802Z","submitted_at":"2025-06-03T05:22:02Z","title":"A Novel Deep Reinforcement Learning Method for Computation Offloading in Multi-User Mobile Edge Computing with Decentralization","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T11:26:13.590734Z"},"links":{"citing_paper":"/paper/2506.02458"},"observation_digest":"sha256:54fd88298166240bdb8176de41ffc39c2340035a4fa5b19c07cda4a7d4440c1b","observation_id":"1b1dc5ab-f227-4719-8427-c1ce445021c0","resolution":{"observed_at":"2026-08-07T11:26:13.745039Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-07T11:26:13.596689Z","title":"Shortle, James M","venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2506.02458","last_updated":"2025-06-03T05:22:02Z","snapshot_observed_at":"2026-08-16T18:17:10.483802Z","submitted_at":"2025-06-03T05:22:02Z","title":"A Novel Deep Reinforcement Learning Method for Computation Offloading in Multi-User Mobile Edge Computing with Decentralization","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T11:26:13.596689Z"},"links":{"citing_paper":"/paper/2506.02458"},"observation_digest":"sha256:f1aa711abbd6d63212091bc494096f4034af06ffe3b827f4d1a80ec6b25ecc65","observation_id":"a1c7c12a-1436-4b1f-bb11-badb13dc4e5c","resolution":{"observed_at":"2026-08-07T11:26:13.596689Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1509.02971","last_updated":"2019-07-05T10:47:27Z","snapshot_observed_at":"2026-08-16T22:06:26.835611Z","submitted_at":"2015-09-09T23:01:36Z","title":"Continuous control with deep reinforcement learning","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1509.02971","snapshot_observed_at":"2026-08-07T11:26:13.602868Z","title":"Lillicrap, Jonathan J","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2506.02458","last_updated":"2025-06-03T05:22:02Z","snapshot_observed_at":"2026-08-16T18:17:10.483802Z","submitted_at":"2025-06-03T05:22:02Z","title":"A Novel Deep Reinforcement Learning Method for Computation Offloading in Multi-User Mobile Edge Computing with Decentralization","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T11:26:13.602868Z"},"links":{"cited_paper":"/paper/1509.02971","citing_paper":"/paper/2506.02458"},"observation_digest":"sha256:9507e2085b1b26c91659d8db354c30cc5dc507634c95ddf93a8f6786f4ea64e9","observation_id":"ac172ac7-5a73-492d-8c41-50eba1747ebc","resolution":{"observed_at":"2026-08-07T11:26:13.602868Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2506.02458","last_updated":"2025-06-03T05:22:02Z","latest_version":1,"primary_category":"cs.IT","snapshot_observed_at":"2026-08-16T18:17:10.483802Z","submitted_at":"2025-06-03T05:22:02Z","title":"A Novel Deep Reinforcement Learning Method for Computation Offloading in Multi-User Mobile Edge Computing with Decentralization"},"reference_resolution":{"displayed":17,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":6,"verified_exact":1,"verified_fuzzy":10},"total_outbound_references":17},"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":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"thesis":"As of 19 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2506.02458."}