{"as_of":"2026-08-17T02:00:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:4825eca9ef9b2619f76f23073b3ca50c5adb54cd036e29f5e80530d5a1c922fc","coverage":[{"denominator":11,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":11,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-09T10:48:18.830805Z","state":"measured"},{"denominator":12,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":12,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-16T06:30:59.297886+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T20:57:30.238810Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-15T20:57:31.229814Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2502.02886","last_updated":"2025-07-28T16:53:40Z","snapshot_observed_at":"2026-08-17T01:56:38.130137Z","submitted_at":"2025-02-05T04:53:56Z","title":"Advancements in Mobile Edge Computing and Open RAN: Leveraging Artificial Intelligence and Machine Learning for Wireless Systems","version":3},"cited_work":{"arxiv_id":"2502.02886","doi":null,"metadata_source":"pith","pith_arxiv_id":"2502.02886","snapshot_observed_at":"2026-08-15T20:57:31.229814Z","title":"Advancements in Mobile Edge Computing and Open RAN: Leveraging Artificial Intelligence and Machine Learning for Wireless Systems","venue":"cs.NI","work_id":"b116676c-1c61-48ca-b64c-46fa931f2c31","year":2025},"citing_paper":{"arxiv_id":"2505.11417","last_updated":"2025-05-16T16:29:21Z","snapshot_observed_at":"2026-08-17T01:55:42.600832Z","submitted_at":"2025-05-16T16:29:21Z","title":"EdgeWisePersona: A Dataset for On-Device User Profiling from Natural Language Interactions","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-15T20:57:30.238810Z"},"links":{"cited_paper":"/paper/2502.02886","citing_paper":"/paper/2505.11417"},"observation_digest":"sha256:9d8c2253143d1072baabd154ff39d5c2f3b0091a303086380320442ddc92c5a2","observation_id":"ec8aaa38-deef-40a1-85a4-4aee35e63c50","resolution":{"observed_at":"2026-08-15T20:57:31.235071Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2502.02886/citation-record","integrity":"/paper/2502.02886/integrity","json":"/paper/2502.02886/citation-record.json","paper":"/paper/2502.02886"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T10:48:19.326061Z","title":"Huang, S","venue":null,"work_id":"f6a003c5-9322-4b50-bac8-c743de7ce40d","year":2020},"citing_paper":{"arxiv_id":"2502.02886","last_updated":"2025-07-28T16:53:40Z","snapshot_observed_at":"2026-08-17T01:56:38.130137Z","submitted_at":"2025-02-05T04:53:56Z","title":"Advancements in Mobile Edge Computing and Open RAN: Leveraging Artificial Intelligence and Machine Learning for Wireless Systems","version":3},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-09T10:48:18.800844Z"},"links":{"citing_paper":"/paper/2502.02886"},"observation_digest":"sha256:5cab04bc758013a0f41881732bc8741d515f2de7dbfa4dfeedca19863199ed5f","observation_id":"6dcd0485-333e-4094-b541-6a8a8302f7a4","resolution":{"observed_at":"2026-08-09T10:48:19.329034Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-09T10:48:19.317853Z","title":null,"venue":null,"work_id":"a5f5f7dc-3a59-4c33-b453-6e77b1303f09","year":2015},"citing_paper":{"arxiv_id":"2502.02886","last_updated":"2025-07-28T16:53:40Z","snapshot_observed_at":"2026-08-17T01:56:38.130137Z","submitted_at":"2025-02-05T04:53:56Z","title":"Advancements in Mobile Edge Computing and Open RAN: Leveraging Artificial Intelligence and Machine Learning for Wireless Systems","version":3},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-09T10:48:18.804151Z"},"links":{"citing_paper":"/paper/2502.02886"},"observation_digest":"sha256:399620a2557018424fd9a8abde3c9b061aa5708c6a24f78cd156e4dbb1af78a3","observation_id":"681acc9c-00ba-4d18-9e66-8977b481cc82","resolution":{"observed_at":"2026-08-09T10:48:19.320796Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-09T10:48:19.309593Z","title":"Chiang and T","venue":null,"work_id":"535e1d5a-d855-4bd1-817a-a21329ba915c","year":2016},"citing_paper":{"arxiv_id":"2502.02886","last_updated":"2025-07-28T16:53:40Z","snapshot_observed_at":"2026-08-17T01:56:38.130137Z","submitted_at":"2025-02-05T04:53:56Z","title":"Advancements in Mobile Edge Computing and Open RAN: Leveraging Artificial Intelligence and Machine Learning for Wireless Systems","version":3},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-09T10:48:18.807157Z"},"links":{"citing_paper":"/paper/2502.02886"},"observation_digest":"sha256:6d7fe3655257ae6d6c58ceb39d0de5369058ec13d1ac66233377489aa635c3a2","observation_id":"3686c9c6-568e-4b5b-a3cf-073520287ace","resolution":{"observed_at":"2026-08-09T10:48:19.312690Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-09T10:48:19.300483Z","title":null,"venue":null,"work_id":"f0841c1d-a8df-4fd8-868b-67ec69133cb2","year":2016},"citing_paper":{"arxiv_id":"2502.02886","last_updated":"2025-07-28T16:53:40Z","snapshot_observed_at":"2026-08-17T01:56:38.130137Z","submitted_at":"2025-02-05T04:53:56Z","title":"Advancements in Mobile Edge Computing and Open RAN: Leveraging Artificial Intelligence and Machine Learning for Wireless Systems","version":3},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-09T10:48:18.810025Z"},"links":{"citing_paper":"/paper/2502.02886"},"observation_digest":"sha256:d8e87cce63e352161c4873a60aa43096452374e872e2110c44dc98f6e8666e0f","observation_id":"f9eba81a-b6ac-49e3-97aa-07eed960a676","resolution":{"observed_at":"2026-08-09T10:48:19.303434Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-09T10:48:19.291637Z","title":"Polese, L","venue":null,"work_id":"c74470b2-d950-4a08-a853-27ec2b3c805c","year":2023},"citing_paper":{"arxiv_id":"2502.02886","last_updated":"2025-07-28T16:53:40Z","snapshot_observed_at":"2026-08-17T01:56:38.130137Z","submitted_at":"2025-02-05T04:53:56Z","title":"Advancements in Mobile Edge Computing and Open RAN: Leveraging Artificial Intelligence and Machine Learning for Wireless Systems","version":3},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-09T10:48:18.813282Z"},"links":{"citing_paper":"/paper/2502.02886"},"observation_digest":"sha256:d7f17c1dee3c427bc29a7c4e7087e76aeded0bcd3f15ca953e09a225565ee339","observation_id":"590de226-f946-49b3-a2bd-effb5cb1653c","resolution":{"observed_at":"2026-08-09T10:48:19.294547Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T10:48:19.274345Z","title":"Lacava, M","venue":null,"work_id":"3a9a1d9c-f05d-4af3-80dc-7cb0d059f60e","year":2023},"citing_paper":{"arxiv_id":"2502.02886","last_updated":"2025-07-28T16:53:40Z","snapshot_observed_at":"2026-08-17T01:56:38.130137Z","submitted_at":"2025-02-05T04:53:56Z","title":"Advancements in Mobile Edge Computing and Open RAN: Leveraging Artificial Intelligence and Machine Learning for Wireless Systems","version":3},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-09T10:48:18.816109Z"},"links":{"citing_paper":"/paper/2502.02886"},"observation_digest":"sha256:3a8791f4967a5b5af693456b02f942dbd05f732f842ae924fbca70c8573f4455","observation_id":"a99c9401-6f00-4fb6-9f5a-e7536cda3f36","resolution":{"observed_at":"2026-08-09T10:48:19.277431Z","resolver_source":"arxiv_id_nonexistent","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.15935","last_updated":"2025-09-12T00:11:45Z","snapshot_observed_at":"2026-08-16T17:00:40.571662Z","submitted_at":"2024-06-22T20:47:03Z","title":"X5G: An Open, Programmable, Multi-vendor, End-to-end, Private 5G O-RAN Testbed with NVIDIA ARC and OpenAirInterface","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.15935","snapshot_observed_at":"2026-08-09T10:48:18.819216Z","title":"Villa, I","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.02886","last_updated":"2025-07-28T16:53:40Z","snapshot_observed_at":"2026-08-17T01:56:38.130137Z","submitted_at":"2025-02-05T04:53:56Z","title":"Advancements in Mobile Edge Computing and Open RAN: Leveraging Artificial Intelligence and Machine Learning for Wireless Systems","version":3},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-09T10:48:18.819216Z"},"links":{"cited_paper":"/paper/2406.15935","citing_paper":"/paper/2502.02886"},"observation_digest":"sha256:d3f3f3b60dd01cceba73aad1e2d5529dd707ce1fa79eac10c35530fad281badc","observation_id":"a7b77906-e599-4cdd-bb73-60938597424f","resolution":{"observed_at":"2026-08-09T10:48:18.819216Z","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":"2026-08-09T10:48:19.283234Z","title":"Bonati, S","venue":null,"work_id":"e9f12f77-999d-4c71-81f8-63501ea0d1b9","year":2021},"citing_paper":{"arxiv_id":"2502.02886","last_updated":"2025-07-28T16:53:40Z","snapshot_observed_at":"2026-08-17T01:56:38.130137Z","submitted_at":"2025-02-05T04:53:56Z","title":"Advancements in Mobile Edge Computing and Open RAN: Leveraging Artificial Intelligence and Machine Learning for Wireless Systems","version":3},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-09T10:48:18.822312Z"},"links":{"citing_paper":"/paper/2502.02886"},"observation_digest":"sha256:4cb4115bef5e584f28c364e75b7f9790ad94561a6c063a39c865063343329ec2","observation_id":"25b308ae-0f32-4664-af6a-7bdd635a9691","resolution":{"observed_at":"2026-08-09T10:48:19.286093Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"biblio/1054490","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T10:48:19.109019Z","title":"Kouchaki, S","venue":null,"work_id":"125b5d09-cca4-4de2-95a2-b0e3ca8c6a1b","year":2024},"citing_paper":{"arxiv_id":"2502.02886","last_updated":"2025-07-28T16:53:40Z","snapshot_observed_at":"2026-08-17T01:56:38.130137Z","submitted_at":"2025-02-05T04:53:56Z","title":"Advancements in Mobile Edge Computing and Open RAN: Leveraging Artificial Intelligence and Machine Learning for Wireless Systems","version":3},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-09T10:48:18.825046Z"},"links":{"citing_paper":"/paper/2502.02886"},"observation_digest":"sha256:dde9ab37c301e8054bea4f06167b6c724fea5ff93a4878db6c1530db6017ccda","observation_id":"cb4ab915-69ff-465d-ade4-d0337d9ac5ba","resolution":{"observed_at":"2026-08-09T10:48:19.113452Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2209.14171","last_updated":"2022-10-14T20:13:04Z","snapshot_observed_at":"2026-08-16T17:00:39.706942Z","submitted_at":"2022-09-28T15:31:06Z","title":"Programmable and Customized Intelligence for Traffic Steering in 5G Networks Using Open RAN Architectures","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2209.14171","snapshot_observed_at":"2026-08-09T10:48:18.827616Z","title":"Lacava, M","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2502.02886","last_updated":"2025-07-28T16:53:40Z","snapshot_observed_at":"2026-08-17T01:56:38.130137Z","submitted_at":"2025-02-05T04:53:56Z","title":"Advancements in Mobile Edge Computing and Open RAN: Leveraging Artificial Intelligence and Machine Learning for Wireless Systems","version":3},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-09T10:48:18.827616Z"},"links":{"cited_paper":"/paper/2209.14171","citing_paper":"/paper/2502.02886"},"observation_digest":"sha256:f65bfe407c89d80821b68a13f64aa5b05e6cbebb76aa71c5fdba05dccd6cd833","observation_id":"eb5583ad-35df-40a1-8a7f-bc91d4498c7e","resolution":{"observed_at":"2026-08-09T10:48:18.827616Z","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":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T10:48:19.000150Z","title":"adobe:ns:meta/","venue":null,"work_id":"fa72212c-aebe-432c-b5f6-c6fc999ebc85","year":1999},"citing_paper":{"arxiv_id":"2502.02886","last_updated":"2025-07-28T16:53:40Z","snapshot_observed_at":"2026-08-17T01:56:38.130137Z","submitted_at":"2025-02-05T04:53:56Z","title":"Advancements in Mobile Edge Computing and Open RAN: Leveraging Artificial Intelligence and Machine Learning for Wireless Systems","version":3},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-09T10:48:18.830805Z"},"links":{"citing_paper":"/paper/2502.02886"},"observation_digest":"sha256:b2123bd905917dbdc34b03bf2f1f6fecb2a067e61ef75a82572ba67b7b47a35c","observation_id":"72cf4ed7-2cc8-4a2e-8ba4-54a90561b70f","resolution":{"observed_at":"2026-08-09T10:48:19.005258Z","resolver_source":"arxiv_id_nonexistent","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2502.02886","last_updated":"2025-07-28T16:53:40Z","latest_version":3,"primary_category":"cs.NI","snapshot_observed_at":"2026-08-17T01:56:38.130137Z","submitted_at":"2025-02-05T04:53:56Z","title":"Advancements in Mobile Edge Computing and Open RAN: Leveraging Artificial Intelligence and Machine Learning for Wireless Systems"},"reference_resolution":{"displayed":11,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":4,"verified_exact":3,"verified_fuzzy":4},"total_outbound_references":11},"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":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"thesis":"As of 17 August 2026, this Paper Citation Record lists 11 of 11 outbound references and 1 inbound Pith citation observation for arXiv:2502.02886."}