{"as_of":"2026-08-09T12:43:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:6a9111eea9044e002d6c210799c90750b28da13c9d9ae3eb7d89165c22282e32","coverage":[{"denominator":47,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":47,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-02T23:21:48.588761Z","state":"measured"},{"denominator":47,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":47,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+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/2602.14033/citation-record","integrity":"/paper/2602.14033/integrity","json":"/paper/2602.14033/citation-record.json","paper":"/paper/2602.14033"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T23:21:44.599129Z","title":"Embodied Intelligence: A Synergy of Morphology, Action, Perception and Learning,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.14033","last_updated":"2026-02-15T07:47:09Z","snapshot_observed_at":"2026-08-07T16:47:16.304016Z","submitted_at":"2026-02-15T07:47:09Z","title":"BRAIN: Bayesian Reasoning via Active Inference for Agentic and Embodied Intelligence in Mobile Networks","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-02T23:21:44.599129Z"},"links":{"citing_paper":"/paper/2602.14033"},"observation_digest":"sha256:b787f7f087a42fb73f329eec6c51728fb0f8aa36b2a1fc2c4800843337a98cf0","observation_id":"935b7a21-167e-441e-860c-bf6c9f81fc52","resolution":{"observed_at":"2026-08-02T23:21:44.599129Z","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":"2026-08-02T23:21:44.642885Z","title":"Artificial General Intelligence (AGI)-Native Wireless Systems: A Journey Beyond 6G,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.14033","last_updated":"2026-02-15T07:47:09Z","snapshot_observed_at":"2026-08-07T16:47:16.304016Z","submitted_at":"2026-02-15T07:47:09Z","title":"BRAIN: Bayesian Reasoning via Active Inference for Agentic and Embodied Intelligence in Mobile Networks","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-02T23:21:44.642885Z"},"links":{"citing_paper":"/paper/2602.14033"},"observation_digest":"sha256:4726debdd217b07389a55a996323344a54b2250d719b2b5c5cf24f9be0e752e5","observation_id":"b93d697c-ac48-4f89-bc76-33768c7eb61b","resolution":{"observed_at":"2026-08-02T23:21:44.642885Z","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":"2026-08-02T23:21:44.739986Z","title":"Empowering the 6G Cellular Architecture with Open RAN,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2602.14033","last_updated":"2026-02-15T07:47:09Z","snapshot_observed_at":"2026-08-07T16:47:16.304016Z","submitted_at":"2026-02-15T07:47:09Z","title":"BRAIN: Bayesian Reasoning via Active Inference for Agentic and Embodied Intelligence in Mobile Networks","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-02T23:21:44.739986Z"},"links":{"citing_paper":"/paper/2602.14033"},"observation_digest":"sha256:27c8a29f0fc332ee590c2c60a887e48b2b47cc12e5e0ba3474e3d0ce2dd89bca","observation_id":"2cc690f5-d47b-4878-b533-62b1352c423b","resolution":{"observed_at":"2026-08-02T23:21:44.739986Z","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":"2026-08-02T23:21:44.842073Z","title":"Channel Nonstationarity and Consistency for Beyond 5G and 6G: A Survey,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2602.14033","last_updated":"2026-02-15T07:47:09Z","snapshot_observed_at":"2026-08-07T16:47:16.304016Z","submitted_at":"2026-02-15T07:47:09Z","title":"BRAIN: Bayesian Reasoning via Active Inference for Agentic and Embodied Intelligence in Mobile Networks","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-02T23:21:44.842073Z"},"links":{"citing_paper":"/paper/2602.14033"},"observation_digest":"sha256:8c1e8bda0c442f708da9d131857fb94c677dc594d2c95f36dba210739f8b1d07","observation_id":"39e57ebe-85c0-4eb8-83a5-1a76baf1098d","resolution":{"observed_at":"2026-08-02T23:21:44.842073Z","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":"2026-08-02T23:21:44.920308Z","title":"A Vision of 6G Wireless Systems: Applications, Trends, Technologies, and Open Research Problems,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2602.14033","last_updated":"2026-02-15T07:47:09Z","snapshot_observed_at":"2026-08-07T16:47:16.304016Z","submitted_at":"2026-02-15T07:47:09Z","title":"BRAIN: Bayesian Reasoning via Active Inference for Agentic and Embodied Intelligence in Mobile Networks","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-02T23:21:44.920308Z"},"links":{"citing_paper":"/paper/2602.14033"},"observation_digest":"sha256:f599f46222c9c14d4e464e90299413a7e8de8f42943d72465bdfa049dae419cd","observation_id":"34c88334-1e2f-40de-a444-9024136adf77","resolution":{"observed_at":"2026-08-02T23:21:44.920308Z","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":"2026-08-02T23:21:44.977618Z","title":"Convolutional Networks for Images, Speech, and Time Series,","venue":null,"work_id":null,"year":2003},"citing_paper":{"arxiv_id":"2602.14033","last_updated":"2026-02-15T07:47:09Z","snapshot_observed_at":"2026-08-07T16:47:16.304016Z","submitted_at":"2026-02-15T07:47:09Z","title":"BRAIN: Bayesian Reasoning via Active Inference for Agentic and Embodied Intelligence in Mobile Networks","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-02T23:21:44.977618Z"},"links":{"citing_paper":"/paper/2602.14033"},"observation_digest":"sha256:91a93252fe51a950715bd73ac309e69e2c7cb9edd214c08a4f915c70649a346e","observation_id":"4d8245fc-1c91-473e-b6a8-bf8e09f3b452","resolution":{"observed_at":"2026-08-02T23:21:44.977618Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2003.05991","last_updated":"2021-04-03T11:18:12Z","snapshot_observed_at":"2026-07-06T09:04:19.750585Z","submitted_at":"2020-03-12T19:38:47Z","title":"Autoencoders","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2003.05991","snapshot_observed_at":"2026-08-02T23:21:45.037157Z","title":"Autoencoders,","venue":null,"work_id":null,"year":2003},"citing_paper":{"arxiv_id":"2602.14033","last_updated":"2026-02-15T07:47:09Z","snapshot_observed_at":"2026-08-07T16:47:16.304016Z","submitted_at":"2026-02-15T07:47:09Z","title":"BRAIN: Bayesian Reasoning via Active Inference for Agentic and Embodied Intelligence in Mobile Networks","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-02T23:21:45.037157Z"},"links":{"cited_paper":"/paper/2003.05991","citing_paper":"/paper/2602.14033"},"observation_digest":"sha256:366612af3298184522add0158bb873d805d796f6a0d5257de6ff51e8ecdcb70d","observation_id":"7b47c7b5-c0ef-47c0-a7df-e1190d864083","resolution":{"observed_at":"2026-08-02T23:21:45.037157Z","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":"2026-08-02T23:21:45.156215Z","title":"Causal Reasoning: Charting a Revolutionary Course for Next- Generation AI-Native Wireless Networks,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2602.14033","last_updated":"2026-02-15T07:47:09Z","snapshot_observed_at":"2026-08-07T16:47:16.304016Z","submitted_at":"2026-02-15T07:47:09Z","title":"BRAIN: Bayesian Reasoning via Active Inference for Agentic and Embodied Intelligence in Mobile Networks","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-02T23:21:45.156215Z"},"links":{"citing_paper":"/paper/2602.14033"},"observation_digest":"sha256:c2aa0a3eb45d039024d1c661c934e214e243be87abed801e692b4220d7dfcf42","observation_id":"09420858-7ea1-41b3-8236-d634de0bf645","resolution":{"observed_at":"2026-08-02T23:21:45.156215Z","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":"2026-08-02T23:21:45.323300Z","title":null,"venue":null,"work_id":null,"year":1998},"citing_paper":{"arxiv_id":"2602.14033","last_updated":"2026-02-15T07:47:09Z","snapshot_observed_at":"2026-08-07T16:47:16.304016Z","submitted_at":"2026-02-15T07:47:09Z","title":"BRAIN: Bayesian Reasoning via Active Inference for Agentic and Embodied Intelligence in Mobile Networks","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-02T23:21:45.323300Z"},"links":{"citing_paper":"/paper/2602.14033"},"observation_digest":"sha256:ff2e2e796d52b25e211316d9e4634671227508e0c5bdafa2f86690a5e69aed6b","observation_id":"c0f0ed5c-87f8-49b5-831c-7a0e5ea1b4bc","resolution":{"observed_at":"2026-08-02T23:21:45.323300Z","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":"2026-08-02T23:21:45.388006Z","title":"An Intro- duction to Deep Reinforcement Learning,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2602.14033","last_updated":"2026-02-15T07:47:09Z","snapshot_observed_at":"2026-08-07T16:47:16.304016Z","submitted_at":"2026-02-15T07:47:09Z","title":"BRAIN: Bayesian Reasoning via Active Inference for Agentic and Embodied Intelligence in Mobile Networks","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-02T23:21:45.388006Z"},"links":{"citing_paper":"/paper/2602.14033"},"observation_digest":"sha256:45c09c79f1f1be200156eb27ede3735c7963bc2beb05e72338f2b2bc1bf971cc","observation_id":"0b40b6c1-0842-43b2-9ef7-b3809b8888b7","resolution":{"observed_at":"2026-08-02T23:21:45.388006Z","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":"2026-08-02T23:21:45.461238Z","title":"OnSlicing: Online End-to-End Network Slicing with Reinforcement Learning,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2602.14033","last_updated":"2026-02-15T07:47:09Z","snapshot_observed_at":"2026-08-07T16:47:16.304016Z","submitted_at":"2026-02-15T07:47:09Z","title":"BRAIN: Bayesian Reasoning via Active Inference for Agentic and Embodied Intelligence in Mobile Networks","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-02T23:21:45.461238Z"},"links":{"citing_paper":"/paper/2602.14033"},"observation_digest":"sha256:4e077ca8f5b63a2b04c5687d2f3223c0c2dc0dc003f9cafe6f2152a679c68c8d","observation_id":"04eaf72a-e082-48cc-83b4-46c044b975cb","resolution":{"observed_at":"2026-08-02T23:21:45.461238Z","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":"2026-08-02T23:21:45.546006Z","title":"ORANSlice: An Open Source 5G Network Slicing Platform for O-RAN,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2602.14033","last_updated":"2026-02-15T07:47:09Z","snapshot_observed_at":"2026-08-07T16:47:16.304016Z","submitted_at":"2026-02-15T07:47:09Z","title":"BRAIN: Bayesian Reasoning via Active Inference for Agentic and Embodied Intelligence in Mobile Networks","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-02T23:21:45.546006Z"},"links":{"citing_paper":"/paper/2602.14033"},"observation_digest":"sha256:ba69f1d70557226f15ff1827ca24cb46a4214d9868c24158eabb2a6cbe274f4c","observation_id":"feadacb4-2f41-4d5a-9cfd-bbf0d3fbb087","resolution":{"observed_at":"2026-08-02T23:21:45.546006Z","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":"2026-08-02T23:21:45.617911Z","title":"Explainable Deep Reinforcement Learning: State of the Art and Challenges,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2602.14033","last_updated":"2026-02-15T07:47:09Z","snapshot_observed_at":"2026-08-07T16:47:16.304016Z","submitted_at":"2026-02-15T07:47:09Z","title":"BRAIN: Bayesian Reasoning via Active Inference for Agentic and Embodied Intelligence in Mobile Networks","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-02T23:21:45.617911Z"},"links":{"citing_paper":"/paper/2602.14033"},"observation_digest":"sha256:a61c08efd9e43abfed660c0ca3aa1b57019740f4c4f38cf08260cb151c0732b1","observation_id":"171fc094-b4fc-4aa4-b0c6-ece7cb151d7a","resolution":{"observed_at":"2026-08-02T23:21:45.617911Z","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":"2026-08-02T23:21:45.696476Z","title":"Generalization- Enhanced DRL-Based Resource Allocation in Wireless Communica- tion Networks With Dynamic User Loads,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.14033","last_updated":"2026-02-15T07:47:09Z","snapshot_observed_at":"2026-08-07T16:47:16.304016Z","submitted_at":"2026-02-15T07:47:09Z","title":"BRAIN: Bayesian Reasoning via Active Inference for Agentic and Embodied Intelligence in Mobile Networks","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-02T23:21:45.696476Z"},"links":{"citing_paper":"/paper/2602.14033"},"observation_digest":"sha256:7a5e73db5fd1776666e3d543d1f3710f9b94cd785fb91aea43e58a00afce9fd7","observation_id":"555d10dc-5aeb-46a0-b29c-b51a54b9a38f","resolution":{"observed_at":"2026-08-02T23:21:45.696476Z","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":"2026-08-02T23:21:45.794396Z","title":"AI Embodiment Through 6G: Shaping the Future of AGI,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2602.14033","last_updated":"2026-02-15T07:47:09Z","snapshot_observed_at":"2026-08-07T16:47:16.304016Z","submitted_at":"2026-02-15T07:47:09Z","title":"BRAIN: Bayesian Reasoning via Active Inference for Agentic and Embodied Intelligence in Mobile Networks","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-02T23:21:45.794396Z"},"links":{"citing_paper":"/paper/2602.14033"},"observation_digest":"sha256:723038a26a66393b502057ba4456e76483bb18086d896cf363612450be97f371","observation_id":"d6e1a6e9-57d6-4a21-a191-90ba415845fa","resolution":{"observed_at":"2026-08-02T23:21:45.794396Z","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":"2026-08-02T23:21:45.891616Z","title":"From artificial intelligence to active inference: the key to true AI and the 6G world brain [Invited],","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2602.14033","last_updated":"2026-02-15T07:47:09Z","snapshot_observed_at":"2026-08-07T16:47:16.304016Z","submitted_at":"2026-02-15T07:47:09Z","title":"BRAIN: Bayesian Reasoning via Active Inference for Agentic and Embodied Intelligence in Mobile Networks","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-02T23:21:45.891616Z"},"links":{"citing_paper":"/paper/2602.14033"},"observation_digest":"sha256:01cba8346c194a994bb183c38890ede973babc1755a0e7867a8c004b4d0f284b","observation_id":"03447af4-550d-40d7-8875-0b0607e5720a","resolution":{"observed_at":"2026-08-02T23:21:45.891616Z","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":"2026-08-02T23:21:45.966040Z","title":"Active inference and learning,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2602.14033","last_updated":"2026-02-15T07:47:09Z","snapshot_observed_at":"2026-08-07T16:47:16.304016Z","submitted_at":"2026-02-15T07:47:09Z","title":"BRAIN: Bayesian Reasoning via Active Inference for Agentic and Embodied Intelligence in Mobile Networks","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-02T23:21:45.966040Z"},"links":{"citing_paper":"/paper/2602.14033"},"observation_digest":"sha256:b6626b7c96476906800d64205f569aadf44390e7681613a5cde343725cb01120","observation_id":"e7fe08d4-eba1-471a-8bab-a5c203519646","resolution":{"observed_at":"2026-08-02T23:21:45.966040Z","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":"2026-08-02T23:21:46.059259Z","title":"Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2602.14033","last_updated":"2026-02-15T07:47:09Z","snapshot_observed_at":"2026-08-07T16:47:16.304016Z","submitted_at":"2026-02-15T07:47:09Z","title":"BRAIN: Bayesian Reasoning via Active Inference for Agentic and Embodied Intelligence in Mobile Networks","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-02T23:21:46.059259Z"},"links":{"citing_paper":"/paper/2602.14033"},"observation_digest":"sha256:d2620da13d248a9984fd298f1344fb9766f9cb7921a25caa151988ebffc5ef59","observation_id":"2d93f5f6-baf4-43fe-a03e-5c3eb57d10c9","resolution":{"observed_at":"2026-08-02T23:21:46.059259Z","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":"2026-08-02T23:21:46.129691Z","title":"Explainable Artificial Intelligence (XAI) 2.0: A manifesto of open challenges and interdisciplinary research directions,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2602.14033","last_updated":"2026-02-15T07:47:09Z","snapshot_observed_at":"2026-08-07T16:47:16.304016Z","submitted_at":"2026-02-15T07:47:09Z","title":"BRAIN: Bayesian Reasoning via Active Inference for Agentic and Embodied Intelligence in Mobile Networks","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-02T23:21:46.129691Z"},"links":{"citing_paper":"/paper/2602.14033"},"observation_digest":"sha256:1460326c6ecb58d56d0e284a683c2bbf1aec94b2e82881c67b0cf44b7bfdb498","observation_id":"51d8e2cc-2055-4311-a0be-5383295af0b9","resolution":{"observed_at":"2026-08-02T23:21:46.129691Z","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":"2026-08-02T23:21:46.188711Z","title":"Explainable Artificial Intelligence for 6G: Improving Trust between Human and Machine,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2602.14033","last_updated":"2026-02-15T07:47:09Z","snapshot_observed_at":"2026-08-07T16:47:16.304016Z","submitted_at":"2026-02-15T07:47:09Z","title":"BRAIN: Bayesian Reasoning via Active Inference for Agentic and Embodied Intelligence in Mobile Networks","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-02T23:21:46.188711Z"},"links":{"citing_paper":"/paper/2602.14033"},"observation_digest":"sha256:9d1861a5c8f9f88ba38ec384b9d1b9cce8f257c5b62110c9573af69d2d8c1fb9","observation_id":"78fdceaa-6a46-4515-abeb-54ddd4e99396","resolution":{"observed_at":"2026-08-02T23:21:46.188711Z","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":"2026-08-02T23:21:46.235282Z","title":"A Unified Approach to Interpreting Model Predictions,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2602.14033","last_updated":"2026-02-15T07:47:09Z","snapshot_observed_at":"2026-08-07T16:47:16.304016Z","submitted_at":"2026-02-15T07:47:09Z","title":"BRAIN: Bayesian Reasoning via Active Inference for Agentic and Embodied Intelligence in Mobile Networks","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-02T23:21:46.235282Z"},"links":{"citing_paper":"/paper/2602.14033"},"observation_digest":"sha256:ddb6f7853e977431300a7acaff8777f307a288f04db172833d4d78d28a1fbb0c","observation_id":"4329ec17-9dcc-4023-a182-d21c1c2fc268","resolution":{"observed_at":"2026-08-02T23:21:46.235282Z","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":"2026-08-02T23:21:46.293216Z","title":"“Why Should I Trust You?","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2602.14033","last_updated":"2026-02-15T07:47:09Z","snapshot_observed_at":"2026-08-07T16:47:16.304016Z","submitted_at":"2026-02-15T07:47:09Z","title":"BRAIN: Bayesian Reasoning via Active Inference for Agentic and Embodied Intelligence in Mobile Networks","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-02T23:21:46.293216Z"},"links":{"citing_paper":"/paper/2602.14033"},"observation_digest":"sha256:00832076109af71cdc84a0da8e15cc17e0da0942b4f58203146be6611b682fcc","observation_id":"d3e59cd3-5bf7-4c41-bd2c-e83c6c0ae2ce","resolution":{"observed_at":"2026-08-02T23:21:46.293216Z","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":"2026-08-02T23:21:46.339419Z","title":"XAInomaly: Explainable, Interpretable and Trustworthy AI for xURLLC in 6G Open-RAN,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2602.14033","last_updated":"2026-02-15T07:47:09Z","snapshot_observed_at":"2026-08-07T16:47:16.304016Z","submitted_at":"2026-02-15T07:47:09Z","title":"BRAIN: Bayesian Reasoning via Active Inference for Agentic and Embodied Intelligence in Mobile Networks","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-02T23:21:46.339419Z"},"links":{"citing_paper":"/paper/2602.14033"},"observation_digest":"sha256:c6f440c00b0846bab8342531738f9d613639d606f6b29c8c3af1301caa3390ab","observation_id":"c17fb281-c894-41ee-a49f-6d51d3bec4f4","resolution":{"observed_at":"2026-08-02T23:21:46.339419Z","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":"2026-08-02T23:21:46.433723Z","title":"EXPLORA: AI/ML EXPLainability for the Open RAN,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2602.14033","last_updated":"2026-02-15T07:47:09Z","snapshot_observed_at":"2026-08-07T16:47:16.304016Z","submitted_at":"2026-02-15T07:47:09Z","title":"BRAIN: Bayesian Reasoning via Active Inference for Agentic and Embodied Intelligence in Mobile Networks","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-02T23:21:46.433723Z"},"links":{"citing_paper":"/paper/2602.14033"},"observation_digest":"sha256:85ccd1671740ae1fe03b48155af92688ff6927e3eabd03b11961b40f100700f0","observation_id":"4939155b-f831-4b7e-a760-fbbdf6aa828a","resolution":{"observed_at":"2026-08-02T23:21:46.433723Z","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":"2026-08-02T23:21:46.536584Z","title":"Towards Explainable AI for Channel Estimation in Wireless Communications,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2602.14033","last_updated":"2026-02-15T07:47:09Z","snapshot_observed_at":"2026-08-07T16:47:16.304016Z","submitted_at":"2026-02-15T07:47:09Z","title":"BRAIN: Bayesian Reasoning via Active Inference for Agentic and Embodied Intelligence in Mobile Networks","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-02T23:21:46.536584Z"},"links":{"citing_paper":"/paper/2602.14033"},"observation_digest":"sha256:389dc4e8981d5753566db3b654be75ccab6b4f9e2d7c0df9c936778b92e665b0","observation_id":"34e58c94-55a2-4546-aabe-31d849effd9d","resolution":{"observed_at":"2026-08-02T23:21:46.536584Z","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":"2026-08-02T23:21:46.658463Z","title":"ChronoProf: Profiling Time Series Forecasters and Classifiers in Mobile Networks with Explainable AI,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.14033","last_updated":"2026-02-15T07:47:09Z","snapshot_observed_at":"2026-08-07T16:47:16.304016Z","submitted_at":"2026-02-15T07:47:09Z","title":"BRAIN: Bayesian Reasoning via Active Inference for Agentic and Embodied Intelligence in Mobile Networks","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-02T23:21:46.658463Z"},"links":{"citing_paper":"/paper/2602.14033"},"observation_digest":"sha256:b94c59688141693cb59085927db23631379e3705d608d68388a5239e6333971f","observation_id":"29042c3f-1dab-472e-9700-b7498611d1f0","resolution":{"observed_at":"2026-08-02T23:21:46.658463Z","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":"2026-08-02T23:21:46.722593Z","title":"AIChronoLens: Advancing Explainability for Time Series AI Forecasting in Mobile Networks,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2602.14033","last_updated":"2026-02-15T07:47:09Z","snapshot_observed_at":"2026-08-07T16:47:16.304016Z","submitted_at":"2026-02-15T07:47:09Z","title":"BRAIN: Bayesian Reasoning via Active Inference for Agentic and Embodied Intelligence in Mobile Networks","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-02T23:21:46.722593Z"},"links":{"citing_paper":"/paper/2602.14033"},"observation_digest":"sha256:f333f2a284dab7225271a07b50a2120c860ecd8ce8e5703be7899ba12c861832","observation_id":"6c935194-0d26-4aa8-9453-2e716a613a3c","resolution":{"observed_at":"2026-08-02T23:21:46.722593Z","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":"2026-08-02T23:21:46.815674Z","title":"SYMBXRL: Symbolic Explainable Deep Reinforcement Learning for Mobile Networks,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.14033","last_updated":"2026-02-15T07:47:09Z","snapshot_observed_at":"2026-08-07T16:47:16.304016Z","submitted_at":"2026-02-15T07:47:09Z","title":"BRAIN: Bayesian Reasoning via Active Inference for Agentic and Embodied Intelligence in Mobile Networks","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-02T23:21:46.815674Z"},"links":{"citing_paper":"/paper/2602.14033"},"observation_digest":"sha256:319326f16b9ca051da195a55e00caf5090ea04247960719488bc8cb38445fdb0","observation_id":"bf9b969d-a25e-4b47-bf62-87eb10902a3c","resolution":{"observed_at":"2026-08-02T23:21:46.815674Z","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":"2026-08-02T23:21:46.891497Z","title":"Active inference on discrete state-spaces: A synthesis,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2602.14033","last_updated":"2026-02-15T07:47:09Z","snapshot_observed_at":"2026-08-07T16:47:16.304016Z","submitted_at":"2026-02-15T07:47:09Z","title":"BRAIN: Bayesian Reasoning via Active Inference for Agentic and Embodied Intelligence in Mobile Networks","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-02T23:21:46.891497Z"},"links":{"citing_paper":"/paper/2602.14033"},"observation_digest":"sha256:e0af569e2b035bf4aef06eb4c4217ee968444e508d3225372d64463fb592176e","observation_id":"0729c3f0-3c26-4663-920f-5585cfc13684","resolution":{"observed_at":"2026-08-02T23:21:46.891497Z","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":"2026-08-02T23:21:46.963011Z","title":"Reinforce- ment Learning through Active Inference,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2602.14033","last_updated":"2026-02-15T07:47:09Z","snapshot_observed_at":"2026-08-07T16:47:16.304016Z","submitted_at":"2026-02-15T07:47:09Z","title":"BRAIN: Bayesian Reasoning via Active Inference for Agentic and Embodied Intelligence in Mobile Networks","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-02T23:21:46.963011Z"},"links":{"citing_paper":"/paper/2602.14033"},"observation_digest":"sha256:37da80f02d1be2671e27514f0705f21b756d049b0593c5dbf2da8b91a22c200f","observation_id":"ab4e73e2-86d8-48e9-a59c-1f28fe4d7ed9","resolution":{"observed_at":"2026-08-02T23:21:46.963011Z","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":"2026-08-02T23:21:47.039080Z","title":"An Empirical Study of Active Inference on a Humanoid Robot,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2602.14033","last_updated":"2026-02-15T07:47:09Z","snapshot_observed_at":"2026-08-07T16:47:16.304016Z","submitted_at":"2026-02-15T07:47:09Z","title":"BRAIN: Bayesian Reasoning via Active Inference for Agentic and Embodied Intelligence in Mobile Networks","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-02T23:21:47.039080Z"},"links":{"citing_paper":"/paper/2602.14033"},"observation_digest":"sha256:dd078fccda9c53f723a2e1151c6dd9cfbe3b906f4bc96f7c6e2b2e2d58343f14","observation_id":"f9ba9923-3622-4534-b49a-f04414b39e08","resolution":{"observed_at":"2026-08-02T23:21:47.039080Z","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":"2026-08-02T23:21:47.103662Z","title":"Real-World Robot Control Based on Contrastive Deep Active Inference With Demonstrations,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2602.14033","last_updated":"2026-02-15T07:47:09Z","snapshot_observed_at":"2026-08-07T16:47:16.304016Z","submitted_at":"2026-02-15T07:47:09Z","title":"BRAIN: Bayesian Reasoning via Active Inference for Agentic and Embodied Intelligence in Mobile Networks","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-02T23:21:47.103662Z"},"links":{"citing_paper":"/paper/2602.14033"},"observation_digest":"sha256:08083739825215cbba9b42c98a51f90208063c304c9e810d7a661324bd09ccd1","observation_id":"8fc55d0d-048c-45de-bcd4-98275370f7a0","resolution":{"observed_at":"2026-08-02T23:21:47.103662Z","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":"2026-08-02T23:21:47.166927Z","title":"Designing explainable arti- ficial intelligence with active inference: A framework for transparent introspection and decision-making,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2602.14033","last_updated":"2026-02-15T07:47:09Z","snapshot_observed_at":"2026-08-07T16:47:16.304016Z","submitted_at":"2026-02-15T07:47:09Z","title":"BRAIN: Bayesian Reasoning via Active Inference for Agentic and Embodied Intelligence in Mobile Networks","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-02T23:21:47.166927Z"},"links":{"citing_paper":"/paper/2602.14033"},"observation_digest":"sha256:b5cda7cf4ac98656d8ff3b55f0c61ffaaab97cfec993a01b2d2123aa85e3f310","observation_id":"6f0022ad-e84b-4fa6-87b8-7ae3bcd60f90","resolution":{"observed_at":"2026-08-02T23:21:47.166927Z","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":"2026-08-02T23:21:47.222315Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2602.14033","last_updated":"2026-02-15T07:47:09Z","snapshot_observed_at":"2026-08-07T16:47:16.304016Z","submitted_at":"2026-02-15T07:47:09Z","title":"BRAIN: Bayesian Reasoning via Active Inference for Agentic and Embodied Intelligence in Mobile Networks","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-02T23:21:47.222315Z"},"links":{"citing_paper":"/paper/2602.14033"},"observation_digest":"sha256:f00bdb331f6eb98cb496999024e5d18502efd1b1e69030ee98a7dbaf1803cab8","observation_id":"2cb12e9d-fe44-4a49-bec3-ee07a8807ad3","resolution":{"observed_at":"2026-08-02T23:21:47.222315Z","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":"2026-08-02T23:21:47.345699Z","title":"The free-energy principle: a unified brain theory?","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2602.14033","last_updated":"2026-02-15T07:47:09Z","snapshot_observed_at":"2026-08-07T16:47:16.304016Z","submitted_at":"2026-02-15T07:47:09Z","title":"BRAIN: Bayesian Reasoning via Active Inference for Agentic and Embodied Intelligence in Mobile Networks","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-02T23:21:47.345699Z"},"links":{"citing_paper":"/paper/2602.14033"},"observation_digest":"sha256:dd1d167e5d9cd325bbce2461ff2015c0deb47f4427b29182ee67276a5138ad3b","observation_id":"373a7f47-05ea-4dbe-81ae-2b9c4857256b","resolution":{"observed_at":"2026-08-02T23:21:47.345699Z","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":"2026-08-02T23:21:47.530789Z","title":"Aerial: A GPU Hyperconverged Platform for 5G,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2602.14033","last_updated":"2026-02-15T07:47:09Z","snapshot_observed_at":"2026-08-07T16:47:16.304016Z","submitted_at":"2026-02-15T07:47:09Z","title":"BRAIN: Bayesian Reasoning via Active Inference for Agentic and Embodied Intelligence in Mobile Networks","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-02T23:21:47.530789Z"},"links":{"citing_paper":"/paper/2602.14033"},"observation_digest":"sha256:3fce737b1818daca6b8295ff11ae54f839b7bba578a953ccaa3395691e153b83","observation_id":"bdff0f3d-8478-4e00-a1fc-23e986add340","resolution":{"observed_at":"2026-08-02T23:21:47.530789Z","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":"2026-08-02T23:21:47.691402Z","title":"NVIDIA Aerial GPU Hosted AI-on-5G,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2602.14033","last_updated":"2026-02-15T07:47:09Z","snapshot_observed_at":"2026-08-07T16:47:16.304016Z","submitted_at":"2026-02-15T07:47:09Z","title":"BRAIN: Bayesian Reasoning via Active Inference for Agentic and Embodied Intelligence in Mobile Networks","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-02T23:21:47.691402Z"},"links":{"citing_paper":"/paper/2602.14033"},"observation_digest":"sha256:0fca93fa99d0333f013299a11298f5af0c29130759babbde789dbb8c38b7619f","observation_id":"fc752c9c-3b56-40a8-a64a-ac5a4f2779c5","resolution":{"observed_at":"2026-08-02T23:21:47.691402Z","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":"2026-08-02T23:21:47.791629Z","title":"NVIDIA Aerial SDK","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2602.14033","last_updated":"2026-02-15T07:47:09Z","snapshot_observed_at":"2026-08-07T16:47:16.304016Z","submitted_at":"2026-02-15T07:47:09Z","title":"BRAIN: Bayesian Reasoning via Active Inference for Agentic and Embodied Intelligence in Mobile Networks","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-02T23:21:47.791629Z"},"links":{"citing_paper":"/paper/2602.14033"},"observation_digest":"sha256:ce92c4b1b1684d24bf5e9703a2923ff259dbedd48e10aa96e7a717567e68ed3a","observation_id":"e87ef88b-b631-4d0f-a06f-b78c46a93231","resolution":{"observed_at":"2026-08-02T23:21:47.791629Z","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":"2026-08-02T23:21:47.843274Z","title":"OpenAirInterface: Democratizing innovation in the 5G Era,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2602.14033","last_updated":"2026-02-15T07:47:09Z","snapshot_observed_at":"2026-08-07T16:47:16.304016Z","submitted_at":"2026-02-15T07:47:09Z","title":"BRAIN: Bayesian Reasoning via Active Inference for Agentic and Embodied Intelligence in Mobile Networks","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-02T23:21:47.843274Z"},"links":{"citing_paper":"/paper/2602.14033"},"observation_digest":"sha256:c84d4064784f30d54ca901bb5b99c52c3d7a6fcf4c0c42ca735e75cfe36cb81e","observation_id":"a8aed494-ecc7-4051-81dd-6e90126f5358","resolution":{"observed_at":"2026-08-02T23:21:47.843274Z","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":"2026-08-02T23:21:47.930834Z","title":"Foxconn RPQN","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2602.14033","last_updated":"2026-02-15T07:47:09Z","snapshot_observed_at":"2026-08-07T16:47:16.304016Z","submitted_at":"2026-02-15T07:47:09Z","title":"BRAIN: Bayesian Reasoning via Active Inference for Agentic and Embodied Intelligence in Mobile Networks","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-02T23:21:47.930834Z"},"links":{"citing_paper":"/paper/2602.14033"},"observation_digest":"sha256:3e5c005508989e8d0c0999e7ece4db127d26ff8dcb38d9bdddbb26fe5a7606c2","observation_id":"f5b3b966-c326-4d36-993e-835f6423981a","resolution":{"observed_at":"2026-08-02T23:21:47.930834Z","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":"2026-08-02T23:21:47.995128Z","title":"OSC Near Realtime RIC","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2602.14033","last_updated":"2026-02-15T07:47:09Z","snapshot_observed_at":"2026-08-07T16:47:16.304016Z","submitted_at":"2026-02-15T07:47:09Z","title":"BRAIN: Bayesian Reasoning via Active Inference for Agentic and Embodied Intelligence in Mobile Networks","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-02T23:21:47.995128Z"},"links":{"citing_paper":"/paper/2602.14033"},"observation_digest":"sha256:700512058c43faf3a281ddc628de60802268bac5a56fd71901ec7f8fd6341eae","observation_id":"02c322d0-60de-4973-97e1-0b5d13bfe514","resolution":{"observed_at":"2026-08-02T23:21:47.995128Z","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":"2026-08-02T23:21:48.085110Z","title":"ColO- RAN: Developing Machine Learning-Based xApps for Open RAN Closed-Loop Control on Programmable Experimental Platforms,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2602.14033","last_updated":"2026-02-15T07:47:09Z","snapshot_observed_at":"2026-08-07T16:47:16.304016Z","submitted_at":"2026-02-15T07:47:09Z","title":"BRAIN: Bayesian Reasoning via Active Inference for Agentic and Embodied Intelligence in Mobile Networks","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-02T23:21:48.085110Z"},"links":{"citing_paper":"/paper/2602.14033"},"observation_digest":"sha256:72ea7a5ccca58d15d9cd123a9cb75b0e147b55884c4f51c666add13d28f58a73","observation_id":"ad8d0c0e-a7fe-44f4-95a1-16321955a39c","resolution":{"observed_at":"2026-08-02T23:21:48.085110Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1312.5602","last_updated":"2013-12-19T16:00:08Z","snapshot_observed_at":"2026-07-06T03:31:23.521122Z","submitted_at":"2013-12-19T16:00:08Z","title":"Playing Atari with Deep Reinforcement Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1312.5602","snapshot_observed_at":"2026-08-02T23:21:48.143950Z","title":"Playing Atari with Deep Reinforcement Learning,","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2602.14033","last_updated":"2026-02-15T07:47:09Z","snapshot_observed_at":"2026-08-07T16:47:16.304016Z","submitted_at":"2026-02-15T07:47:09Z","title":"BRAIN: Bayesian Reasoning via Active Inference for Agentic and Embodied Intelligence in Mobile Networks","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-02T23:21:48.143950Z"},"links":{"cited_paper":"/paper/1312.5602","citing_paper":"/paper/2602.14033"},"observation_digest":"sha256:fe8cc4d47e1086f30309dac24e4fde9752bbfbdf65f0001ed8e1308f8d1e448e","observation_id":"8066889b-957d-4816-a176-b1d49471507e","resolution":{"observed_at":"2026-08-02T23:21:48.143950Z","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":"2026-08-02T23:21:48.254611Z","title":"Deep Reinforcement Learning with Double Q-learning,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2602.14033","last_updated":"2026-02-15T07:47:09Z","snapshot_observed_at":"2026-08-07T16:47:16.304016Z","submitted_at":"2026-02-15T07:47:09Z","title":"BRAIN: Bayesian Reasoning via Active Inference for Agentic and Embodied Intelligence in Mobile Networks","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-02T23:21:48.254611Z"},"links":{"citing_paper":"/paper/2602.14033"},"observation_digest":"sha256:704560d218cb53c449de9c6ab75d877da28a8ba36bb407144be9491330c99642","observation_id":"aa546399-1e91-4cdf-b630-816fab050b04","resolution":{"observed_at":"2026-08-02T23:21:48.254611Z","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":"2026-08-02T23:21:48.385925Z","title":"Simple statistical gradient-following algorithms for connectionist reinforcement learning,","venue":null,"work_id":null,"year":1992},"citing_paper":{"arxiv_id":"2602.14033","last_updated":"2026-02-15T07:47:09Z","snapshot_observed_at":"2026-08-07T16:47:16.304016Z","submitted_at":"2026-02-15T07:47:09Z","title":"BRAIN: Bayesian Reasoning via Active Inference for Agentic and Embodied Intelligence in Mobile Networks","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-02T23:21:48.385925Z"},"links":{"citing_paper":"/paper/2602.14033"},"observation_digest":"sha256:abb931e3f86286e1b116d237f4c057953015cd04985ce3388833c9111b4ad55b","observation_id":"62689965-e5df-4acb-8f1a-ec1e2d2d6b3e","resolution":{"observed_at":"2026-08-02T23:21:48.385925Z","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":"2026-08-02T23:21:48.514547Z","title":"Proximal Policy Optimization Algorithms,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2602.14033","last_updated":"2026-02-15T07:47:09Z","snapshot_observed_at":"2026-08-07T16:47:16.304016Z","submitted_at":"2026-02-15T07:47:09Z","title":"BRAIN: Bayesian Reasoning via Active Inference for Agentic and Embodied Intelligence in Mobile Networks","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-02T23:21:48.514547Z"},"links":{"citing_paper":"/paper/2602.14033"},"observation_digest":"sha256:e2dfb4074cf367fc236128fef9d4c490b47ae79d8c4672606dabb25c24ab659a","observation_id":"11819860-8748-4038-bbce-715cb39ebfd2","resolution":{"observed_at":"2026-08-02T23:21:48.514547Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1801.01290","last_updated":"2018-08-08T21:27:08Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2018-01-04T09:50:50Z","title":"Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1801.01290","snapshot_observed_at":"2026-08-02T23:21:48.588761Z","title":"Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2602.14033","last_updated":"2026-02-15T07:47:09Z","snapshot_observed_at":"2026-08-07T16:47:16.304016Z","submitted_at":"2026-02-15T07:47:09Z","title":"BRAIN: Bayesian Reasoning via Active Inference for Agentic and Embodied Intelligence in Mobile Networks","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-02T23:21:48.588761Z"},"links":{"cited_paper":"/paper/1801.01290","citing_paper":"/paper/2602.14033"},"observation_digest":"sha256:4a7bede5cc2532d77d2bb7a3aaa2ba9931bd0a6b8a87a419fa53ee586870daeb","observation_id":"06865178-40f1-4697-89bc-67e6380e8150","resolution":{"observed_at":"2026-08-02T23:21:48.588761Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2602.14033","last_updated":"2026-02-15T07:47:09Z","latest_version":1,"primary_category":"cs.IT","snapshot_observed_at":"2026-08-07T16:47:16.304016Z","submitted_at":"2026-02-15T07:47:09Z","title":"BRAIN: Bayesian Reasoning via Active Inference for Agentic and Embodied Intelligence in Mobile Networks"},"reference_resolution":{"displayed":47,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":47,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":47},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 0 inbound Pith citation observations for arXiv:2602.14033."}