{"as_of":"2026-08-04T17:01:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:5dc57baf2435b2f88a83846d8692b3f03a6342e64a9f89c2739d01b8df96903d","coverage":[{"denominator":180,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":100,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-01T21:29:46.087937Z","state":"measured"},{"denominator":100,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":100,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-04T06:34:03.388597+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/2607.16066/citation-record","integrity":"/paper/2607.16066/integrity","json":"/paper/2607.16066/citation-record.json","paper":"/paper/2607.16066"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T21:29:33.291130Z","title":"Andrews, Stefano Buzzi, Wan Choi, Stephen V","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2607.16066","last_updated":"2026-07-17T15:47:23Z","snapshot_observed_at":"2026-08-01T21:29:31.125079Z","submitted_at":"2026-07-17T15:47:23Z","title":"LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-01T21:29:33.291130Z"},"links":{"citing_paper":"/paper/2607.16066"},"observation_digest":"sha256:8021f6ea912fa18ceaeed403457f1a3e10c594497cd5031d37bd9d3f07e3dbb5","observation_id":"eb7f0e93-c39a-4b07-ac8e-09c1fcddc846","resolution":{"observed_at":"2026-08-01T21:29:33.291130Z","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":"2026-08-01T21:29:33.410677Z","title":"A vision of 6g wireless systems: Applications, trends, technologies, and open research problems.IEEE Network, 34(3):134–142, 2020","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.16066","last_updated":"2026-07-17T15:47:23Z","snapshot_observed_at":"2026-08-01T21:29:31.125079Z","submitted_at":"2026-07-17T15:47:23Z","title":"LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-01T21:29:33.410677Z"},"links":{"citing_paper":"/paper/2607.16066"},"observation_digest":"sha256:dd67947538a8c8c008b9fd4a9f99a4b5def267b7fc7152cb82b08036689e9602","observation_id":"b4172379-cb9f-46e8-934d-4ea9ab116f5d","resolution":{"observed_at":"2026-08-01T21:29:33.410677Z","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":"2026-08-01T21:29:33.545716Z","title":"Dual self-attention is what you need for model drift detection in 6g networks","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.16066","last_updated":"2026-07-17T15:47:23Z","snapshot_observed_at":"2026-08-01T21:29:31.125079Z","submitted_at":"2026-07-17T15:47:23Z","title":"LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-01T21:29:33.545716Z"},"links":{"citing_paper":"/paper/2607.16066"},"observation_digest":"sha256:67eac2c42f5c3ea1ca189583e534c7b0a72733d29eb5037026251c1fdcd8b846","observation_id":"87d3687f-ff85-4ee3-b692-3c53163703b0","resolution":{"observed_at":"2026-08-01T21:29:33.545716Z","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":"2026-08-01T21:29:33.711897Z","title":"Ameur, B","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.16066","last_updated":"2026-07-17T15:47:23Z","snapshot_observed_at":"2026-08-01T21:29:31.125079Z","submitted_at":"2026-07-17T15:47:23Z","title":"LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-01T21:29:33.711897Z"},"links":{"citing_paper":"/paper/2607.16066"},"observation_digest":"sha256:19fd67a55466e17fcf28f1789adc42c3211f8345742676f7c2b7a3ce6d35a6dc","observation_id":"7fc39801-8ddc-448a-a7e5-67c269db7d6d","resolution":{"observed_at":"2026-08-01T21:29:33.711897Z","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":"10.1109/mwc.001.1900334","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T21:33:33.295444Z","title":"A speculative study on 6g.IEEE Wireless Communications, 27(4):118–125, August 2020","venue":null,"work_id":"59ebad27-edbc-4196-8aaf-e25a12a6c13e","year":2020},"citing_paper":{"arxiv_id":"2607.16066","last_updated":"2026-07-17T15:47:23Z","snapshot_observed_at":"2026-08-01T21:29:31.125079Z","submitted_at":"2026-07-17T15:47:23Z","title":"LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-01T21:29:33.997626Z"},"links":{"citing_paper":"/paper/2607.16066"},"observation_digest":"sha256:27dd27809f66547c724d28ad03a31c6ef307863e059ee19e278abc8616435b73","observation_id":"bc35c94f-e4d0-43d0-ae8e-59b62d08ebb4","resolution":{"observed_at":"2026-08-01T21:33:33.299357Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-08-01T21:29:34.150230Z","title":"A survey on intent-based networking.IEEE Communications Surveys & Tutorials, 25(1):625–655,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.16066","last_updated":"2026-07-17T15:47:23Z","snapshot_observed_at":"2026-08-01T21:29:31.125079Z","submitted_at":"2026-07-17T15:47:23Z","title":"LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-01T21:29:34.150230Z"},"links":{"citing_paper":"/paper/2607.16066"},"observation_digest":"sha256:8b267e59146d0efc80da58dc08d47e6711ea23684a157363dfe013a84c5fa721","observation_id":"76ac8a81-2960-42a7-b120-bbcee3e9ed86","resolution":{"observed_at":"2026-08-01T21:29:34.150230Z","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":"2026-08-01T21:29:34.461532Z","title":"ETSI GR ZSM 009-3 V1.1.1: Closed-loop automation (part 3)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.16066","last_updated":"2026-07-17T15:47:23Z","snapshot_observed_at":"2026-08-01T21:29:31.125079Z","submitted_at":"2026-07-17T15:47:23Z","title":"LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-01T21:29:34.461532Z"},"links":{"citing_paper":"/paper/2607.16066"},"observation_digest":"sha256:764e6e4fef909cfaebcde4a3f26f002612fcf6fb5151fffd39956c606086c196","observation_id":"bd54e30b-7d6b-489f-be4a-f7e132e2438c","resolution":{"observed_at":"2026-08-01T21:29:34.461532Z","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":"2026-08-01T21:29:34.613713Z","title":"Mekrache, A","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.16066","last_updated":"2026-07-17T15:47:23Z","snapshot_observed_at":"2026-08-01T21:29:31.125079Z","submitted_at":"2026-07-17T15:47:23Z","title":"LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-01T21:29:34.613713Z"},"links":{"citing_paper":"/paper/2607.16066"},"observation_digest":"sha256:c7f65796711e1458f16925935248ea3ff1f0cf41f7c34673f9ef46f2aac4532d","observation_id":"4533f470-7008-4acd-a984-3565d4e0795e","resolution":{"observed_at":"2026-08-01T21:29:34.613713Z","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":"2026-08-01T21:29:34.791765Z","title":"The rise of agentic AI: Implications, concerns, and the path forward.IEEE Intelligent Systems, 40(2):8–14, March 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.16066","last_updated":"2026-07-17T15:47:23Z","snapshot_observed_at":"2026-08-01T21:29:31.125079Z","submitted_at":"2026-07-17T15:47:23Z","title":"LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-01T21:29:34.791765Z"},"links":{"citing_paper":"/paper/2607.16066"},"observation_digest":"sha256:b1d20b5883b884726046fc1fe3f50aa075dffa77afda179f3dc664f67f6853ba","observation_id":"55c3e066-abdc-4cc1-a433-35cbd944f754","resolution":{"observed_at":"2026-08-01T21:29:34.791765Z","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":"2026-08-01T21:29:34.942753Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.16066","last_updated":"2026-07-17T15:47:23Z","snapshot_observed_at":"2026-08-01T21:29:31.125079Z","submitted_at":"2026-07-17T15:47:23Z","title":"LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-01T21:29:34.942753Z"},"links":{"citing_paper":"/paper/2607.16066"},"observation_digest":"sha256:c81ee6045ef609878080a14bd1e26ae5f87665633c6598661fc1f802bf46a211","observation_id":"8d8a8fba-6a89-412a-a55a-f8b9f6389d2e","resolution":{"observed_at":"2026-08-01T21:29:34.942753Z","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":"2026-08-01T21:29:35.084579Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.16066","last_updated":"2026-07-17T15:47:23Z","snapshot_observed_at":"2026-08-01T21:29:31.125079Z","submitted_at":"2026-07-17T15:47:23Z","title":"LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-01T21:29:35.084579Z"},"links":{"citing_paper":"/paper/2607.16066"},"observation_digest":"sha256:b69e99b9072e49a31cec591f6529e45690b77261ab614a9d6d2e9ea7c7729aae","observation_id":"19a3a122-53cb-4d94-8aee-287f7e5908cc","resolution":{"observed_at":"2026-08-01T21:29:35.084579Z","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":"2026-08-01T21:29:35.149178Z","title":"Jiang et al","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.16066","last_updated":"2026-07-17T15:47:23Z","snapshot_observed_at":"2026-08-01T21:29:31.125079Z","submitted_at":"2026-07-17T15:47:23Z","title":"LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-01T21:29:35.149178Z"},"links":{"citing_paper":"/paper/2607.16066"},"observation_digest":"sha256:d1bdf88eddbd4338bcf8cb1997c3214293c0f1cc8b73b73c0c15cd2f9203aa46","observation_id":"3f16d9b3-4382-452d-aeb3-8e764ded6417","resolution":{"observed_at":"2026-08-01T21:29:35.149178Z","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":"2026-08-01T21:29:35.286105Z","title":"Kong et al","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.16066","last_updated":"2026-07-17T15:47:23Z","snapshot_observed_at":"2026-08-01T21:29:31.125079Z","submitted_at":"2026-07-17T15:47:23Z","title":"LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-01T21:29:35.286105Z"},"links":{"citing_paper":"/paper/2607.16066"},"observation_digest":"sha256:c5c9c68585f4f236eaa4235e2ce18de18c4ce70a16c5fedddc774449f380be8d","observation_id":"8e909da1-5341-4581-bf0e-3c1338fda8e3","resolution":{"observed_at":"2026-08-01T21:29:35.286105Z","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":"2026-08-01T21:29:35.339286Z","title":"Long et al","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.16066","last_updated":"2026-07-17T15:47:23Z","snapshot_observed_at":"2026-08-01T21:29:31.125079Z","submitted_at":"2026-07-17T15:47:23Z","title":"LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-01T21:29:35.339286Z"},"links":{"citing_paper":"/paper/2607.16066"},"observation_digest":"sha256:0e0c60e2e308767ea8399cd01379b1c1cec47064eac59a593889e7d41b32225c","observation_id":"94c748ea-455f-494c-8bd3-d8a28cb667f6","resolution":{"observed_at":"2026-08-01T21:29:35.339286Z","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":"2026-08-01T21:29:35.417820Z","title":"Saad et al","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.16066","last_updated":"2026-07-17T15:47:23Z","snapshot_observed_at":"2026-08-01T21:29:31.125079Z","submitted_at":"2026-07-17T15:47:23Z","title":"LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-01T21:29:35.417820Z"},"links":{"citing_paper":"/paper/2607.16066"},"observation_digest":"sha256:3b4807de5be94a4c68d61b22a739ba6ff56c3e3907a89c31e71bb78209274891","observation_id":"aa1fcb8f-6ee3-4e65-a9f1-4bf99323714e","resolution":{"observed_at":"2026-08-01T21:29:35.417820Z","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":"2026-08-01T21:29:35.489238Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.16066","last_updated":"2026-07-17T15:47:23Z","snapshot_observed_at":"2026-08-01T21:29:31.125079Z","submitted_at":"2026-07-17T15:47:23Z","title":"LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-01T21:29:35.489238Z"},"links":{"citing_paper":"/paper/2607.16066"},"observation_digest":"sha256:2bc3e69541b7406df6fdaddc76785e77c8f3d5bc2c311ca375ebc5575caf159e","observation_id":"0ba67e00-398a-40ed-9a69-3941d2993e74","resolution":{"observed_at":"2026-08-01T21:29:35.489238Z","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":"2026-08-01T21:29:35.539310Z","title":"Zhao et al","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.16066","last_updated":"2026-07-17T15:47:23Z","snapshot_observed_at":"2026-08-01T21:29:31.125079Z","submitted_at":"2026-07-17T15:47:23Z","title":"LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-01T21:29:35.539310Z"},"links":{"citing_paper":"/paper/2607.16066"},"observation_digest":"sha256:e47a74daa2b5a6cf70b36da10f84add87fd6fb0363dc8402578a7115c50d238b","observation_id":"36f786a0-fb30-422b-80a9-3952b12d1bb6","resolution":{"observed_at":"2026-08-01T21:29:35.539310Z","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":"2026-08-01T21:29:35.709269Z","title":"Mohammadi, Y","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.16066","last_updated":"2026-07-17T15:47:23Z","snapshot_observed_at":"2026-08-01T21:29:31.125079Z","submitted_at":"2026-07-17T15:47:23Z","title":"LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-01T21:29:35.709269Z"},"links":{"citing_paper":"/paper/2607.16066"},"observation_digest":"sha256:640ae538990b7ed046b82ff3f2e090a3b5e4491cce010c69368977bcf1f8cedf","observation_id":"0986e2ef-1dd5-4a1b-9116-4f97b2d2d8b3","resolution":{"observed_at":"2026-08-01T21:29:35.709269Z","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":"2026-08-01T21:29:35.820060Z","title":"Zhu et al","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.16066","last_updated":"2026-07-17T15:47:23Z","snapshot_observed_at":"2026-08-01T21:29:31.125079Z","submitted_at":"2026-07-17T15:47:23Z","title":"LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-01T21:29:35.820060Z"},"links":{"citing_paper":"/paper/2607.16066"},"observation_digest":"sha256:212f6aff977a91859c91b8f3bd723ca61e9118fc73f282c40d9774cce0f7531d","observation_id":"598b991c-4a68-4c6a-a0b6-39d29e914b3d","resolution":{"observed_at":"2026-08-01T21:29:35.820060Z","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":"2026-08-01T21:29:35.907807Z","title":"Jiang, C","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.16066","last_updated":"2026-07-17T15:47:23Z","snapshot_observed_at":"2026-08-01T21:29:31.125079Z","submitted_at":"2026-07-17T15:47:23Z","title":"LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-01T21:29:35.907807Z"},"links":{"citing_paper":"/paper/2607.16066"},"observation_digest":"sha256:2e86eeca48bd25a7f8587e67bd3dfb5551e752148e5915945da9d40adbb55191","observation_id":"ea8d70a1-ce9b-4d9a-80dd-97b828d094fc","resolution":{"observed_at":"2026-08-01T21:29:35.907807Z","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":"2026-08-01T21:29:35.996543Z","title":"Masterman, S","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.16066","last_updated":"2026-07-17T15:47:23Z","snapshot_observed_at":"2026-08-01T21:29:31.125079Z","submitted_at":"2026-07-17T15:47:23Z","title":"LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-01T21:29:35.996543Z"},"links":{"citing_paper":"/paper/2607.16066"},"observation_digest":"sha256:99134b5b59c351171cf01c182937645f612d1cd77cf3b6b2291c82d67839ec9a","observation_id":"a7ff2552-62cf-4460-9540-39278b4d3502","resolution":{"observed_at":"2026-08-01T21:29:35.996543Z","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":"2026-08-01T21:29:36.118666Z","title":"Sapkota, K","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.16066","last_updated":"2026-07-17T15:47:23Z","snapshot_observed_at":"2026-08-01T21:29:31.125079Z","submitted_at":"2026-07-17T15:47:23Z","title":"LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-01T21:29:36.118666Z"},"links":{"citing_paper":"/paper/2607.16066"},"observation_digest":"sha256:1f790df08a736476d25c8e56a11cde4e04f9b4a56e21420de641d46d624f640e","observation_id":"822350f7-6291-4f94-a708-208c24c427c1","resolution":{"observed_at":"2026-08-01T21:29:36.118666Z","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":"2026-08-01T21:29:36.216958Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.16066","last_updated":"2026-07-17T15:47:23Z","snapshot_observed_at":"2026-08-01T21:29:31.125079Z","submitted_at":"2026-07-17T15:47:23Z","title":"LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-01T21:29:36.216958Z"},"links":{"citing_paper":"/paper/2607.16066"},"observation_digest":"sha256:8ebbd12bd3f24bf9759b0ec0b8cda50d283ccbd5b0bafed8a40376c34719cb16","observation_id":"02cc9cf5-9d12-4bd2-a23a-fc02f74268c6","resolution":{"observed_at":"2026-08-01T21:29:36.216958Z","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":"2026-08-01T21:29:36.337353Z","title":"Zhang et al","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.16066","last_updated":"2026-07-17T15:47:23Z","snapshot_observed_at":"2026-08-01T21:29:31.125079Z","submitted_at":"2026-07-17T15:47:23Z","title":"LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-01T21:29:36.337353Z"},"links":{"citing_paper":"/paper/2607.16066"},"observation_digest":"sha256:c3028f8f46659df30a141e92ab80d567e7b25098b2da9853ac71011c086bff1b","observation_id":"f2db45fc-f0d2-40b8-9a1e-b3a46217d63e","resolution":{"observed_at":"2026-08-01T21:29:36.337353Z","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":"2026-08-01T21:29:36.428307Z","title":"Toward 6g networks: Use cases and technologies.IEEE Communications Magazine, 58(3):55–61, 2020","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.16066","last_updated":"2026-07-17T15:47:23Z","snapshot_observed_at":"2026-08-01T21:29:31.125079Z","submitted_at":"2026-07-17T15:47:23Z","title":"LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-01T21:29:36.428307Z"},"links":{"citing_paper":"/paper/2607.16066"},"observation_digest":"sha256:45e53c993afaed968694cb890f099deb8461588bebc4746bda7d4c90108185e6","observation_id":"c73fc4cd-a2b4-4c3d-8900-a2778cafeb98","resolution":{"observed_at":"2026-08-01T21:29:36.428307Z","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":"2026-08-01T21:29:36.556524Z","title":"Majid Butt, Istvan Z","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.16066","last_updated":"2026-07-17T15:47:23Z","snapshot_observed_at":"2026-08-01T21:29:31.125079Z","submitted_at":"2026-07-17T15:47:23Z","title":"LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-01T21:29:36.556524Z"},"links":{"citing_paper":"/paper/2607.16066"},"observation_digest":"sha256:3b59599fd9f0efb36ab606645f03bb3067d4a7fb25747b9b23761014be5c1073","observation_id":"2e1d765f-c74f-4821-a610-1a6a66390a21","resolution":{"observed_at":"2026-08-01T21:29:36.556524Z","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":"2026-08-01T21:29:36.719114Z","title":"RAN-CN converged control-plane for 6g cellular networks","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.16066","last_updated":"2026-07-17T15:47:23Z","snapshot_observed_at":"2026-08-01T21:29:31.125079Z","submitted_at":"2026-07-17T15:47:23Z","title":"LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-01T21:29:36.719114Z"},"links":{"citing_paper":"/paper/2607.16066"},"observation_digest":"sha256:17a96221f816955457c69995e94ccead8a9ef8ee403e2f9058bbad74f7dce325","observation_id":"688b6837-ca69-4542-b045-0363d54eec6a","resolution":{"observed_at":"2026-08-01T21:29:36.719114Z","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":"2026-08-01T21:29:36.933191Z","title":"A survey on open radio access networks: Challenges, research directions, and open source approaches.Sensors, 24 (3):1038, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.16066","last_updated":"2026-07-17T15:47:23Z","snapshot_observed_at":"2026-08-01T21:29:31.125079Z","submitted_at":"2026-07-17T15:47:23Z","title":"LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-01T21:29:36.933191Z"},"links":{"citing_paper":"/paper/2607.16066"},"observation_digest":"sha256:135f34649ffef2b862467536c48744c3c15693ac6cca76cbae532879cd60ee17","observation_id":"8c364bc7-0181-4582-9f06-43e9e76baec6","resolution":{"observed_at":"2026-08-01T21:29:36.933191Z","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":"2026-08-01T21:29:37.133865Z","title":"A survey of 5g network: Architecture and emerging technologies.IEEE Access, 3:1206–1232, 2015","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2607.16066","last_updated":"2026-07-17T15:47:23Z","snapshot_observed_at":"2026-08-01T21:29:31.125079Z","submitted_at":"2026-07-17T15:47:23Z","title":"LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-01T21:29:37.133865Z"},"links":{"citing_paper":"/paper/2607.16066"},"observation_digest":"sha256:f2d42362c59c25b8178b2cd7e79cf3be34c7399fcbd9d2e771a4f0e5b101ea14","observation_id":"2816fcea-7694-4306-ac3c-f72f34478e67","resolution":{"observed_at":"2026-08-01T21:29:37.133865Z","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":"2026-08-01T21:29:37.363988Z","title":"Software defined 5g and 6g networks: A survey.Mobile Networks and Applications, 27(5):1792–1812, 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.16066","last_updated":"2026-07-17T15:47:23Z","snapshot_observed_at":"2026-08-01T21:29:31.125079Z","submitted_at":"2026-07-17T15:47:23Z","title":"LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-01T21:29:37.363988Z"},"links":{"citing_paper":"/paper/2607.16066"},"observation_digest":"sha256:1e96e3314c0dccfd7deefcb43838e6c8063b6bc8ade2e632cea01d903d7013f0","observation_id":"e3262abb-f58b-438b-a0e5-1b1444eacaaa","resolution":{"observed_at":"2026-08-01T21:29:37.363988Z","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":"2026-08-01T21:29:37.568775Z","title":"Prabha, A","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.16066","last_updated":"2026-07-17T15:47:23Z","snapshot_observed_at":"2026-08-01T21:29:31.125079Z","submitted_at":"2026-07-17T15:47:23Z","title":"LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-01T21:29:37.568775Z"},"links":{"citing_paper":"/paper/2607.16066"},"observation_digest":"sha256:9093a79b4d00d1eddf62a75f923efff5a47142eebb1ec19c79a912bcc68d41ab","observation_id":"1bbe9de0-1f68-46de-b6f9-505eb0185aa4","resolution":{"observed_at":"2026-08-01T21:29:37.568775Z","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":"2026-08-01T21:29:37.714791Z","title":"3GPP 5g core network: An overview and future directions.Array, 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.16066","last_updated":"2026-07-17T15:47:23Z","snapshot_observed_at":"2026-08-01T21:29:31.125079Z","submitted_at":"2026-07-17T15:47:23Z","title":"LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-01T21:29:37.714791Z"},"links":{"citing_paper":"/paper/2607.16066"},"observation_digest":"sha256:29ed6d6c13e5df97570a6037cc64ddf0ef789d8c999c55373831ce6ef31e1c81","observation_id":"1d647ac1-557c-4d1e-9e22-b2f8f393e2e4","resolution":{"observed_at":"2026-08-01T21:29:37.714791Z","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":"2026-08-01T21:29:37.918706Z","title":"An in-kernel solution based on XDP for 5g UPF: Design, prototype and performance evaluation","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.16066","last_updated":"2026-07-17T15:47:23Z","snapshot_observed_at":"2026-08-01T21:29:31.125079Z","submitted_at":"2026-07-17T15:47:23Z","title":"LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-01T21:29:37.918706Z"},"links":{"citing_paper":"/paper/2607.16066"},"observation_digest":"sha256:e4040daf3a6d0296ad7f8c470f83124dc80f92129e3649c5faaaee1e83a42fc7","observation_id":"0b069b28-ed41-4f70-8178-f693b42d487a","resolution":{"observed_at":"2026-08-01T21:29:37.918706Z","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":"2026-08-01T21:29:38.133949Z","title":"Mekrache, K","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.16066","last_updated":"2026-07-17T15:47:23Z","snapshot_observed_at":"2026-08-01T21:29:31.125079Z","submitted_at":"2026-07-17T15:47:23Z","title":"LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-01T21:29:38.133949Z"},"links":{"citing_paper":"/paper/2607.16066"},"observation_digest":"sha256:38963bc22b90eebf4e4e7134976fdbf6a065d8ca6060372058c94654f1855b9a","observation_id":"e667b7c2-b925-450f-9bd0-934fb04f7d19","resolution":{"observed_at":"2026-08-01T21:29:38.133949Z","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":"2026-08-01T21:29:38.270724Z","title":"When mlops meets nwdaf to enable autonomous next generation network analytics","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.16066","last_updated":"2026-07-17T15:47:23Z","snapshot_observed_at":"2026-08-01T21:29:31.125079Z","submitted_at":"2026-07-17T15:47:23Z","title":"LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-01T21:29:38.270724Z"},"links":{"citing_paper":"/paper/2607.16066"},"observation_digest":"sha256:c8cfaebff222b176d92cae794808054ab4a7d2a135a080400fcab4a7f7abff57","observation_id":"2c59d450-75ec-4aec-a5ee-74570a33e2fe","resolution":{"observed_at":"2026-08-01T21:29:38.270724Z","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":"2026-08-01T21:29:38.351189Z","title":"NEFSim: An open experimentation framework utilizing 3GPP’s exposure services","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.16066","last_updated":"2026-07-17T15:47:23Z","snapshot_observed_at":"2026-08-01T21:29:31.125079Z","submitted_at":"2026-07-17T15:47:23Z","title":"LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-01T21:29:38.351189Z"},"links":{"citing_paper":"/paper/2607.16066"},"observation_digest":"sha256:5268be47d52bad2bbc4ebb51a675a65b4f9d41a23aa9ac12954e66f2c13b6e45","observation_id":"3bc36e34-668f-4f9b-9883-be9277c54942","resolution":{"observed_at":"2026-08-01T21:29:38.351189Z","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":"2026-08-01T21:29:38.424005Z","title":"A comprehensive analysis of cloud service models: IaaS, PaaS, and SaaS in the context of emerging technologies and trend","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.16066","last_updated":"2026-07-17T15:47:23Z","snapshot_observed_at":"2026-08-01T21:29:31.125079Z","submitted_at":"2026-07-17T15:47:23Z","title":"LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-01T21:29:38.424005Z"},"links":{"citing_paper":"/paper/2607.16066"},"observation_digest":"sha256:0e41a8064060840f28b6d96d0fa2481eefbb69fd1778e9d4fbc91aa22b64d629","observation_id":"a2a5feca-20c6-4414-87f2-3850dcd7d048","resolution":{"observed_at":"2026-08-01T21:29:38.424005Z","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":"2026-08-01T21:29:38.602502Z","title":"Overview of research trends and challenges in 6g mobile networks and the computing continuum.Scientific and Practical Cyber Security Journal (SPCSJ), 8(4):54–65, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.16066","last_updated":"2026-07-17T15:47:23Z","snapshot_observed_at":"2026-08-01T21:29:31.125079Z","submitted_at":"2026-07-17T15:47:23Z","title":"LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-01T21:29:38.602502Z"},"links":{"citing_paper":"/paper/2607.16066"},"observation_digest":"sha256:ca5ee3d252158e16d7372a7866a55f01b022ec03bdc742dd1980a3a6993c9114","observation_id":"6d06758b-8b1b-4ce5-81ab-e24a5fddf3b3","resolution":{"observed_at":"2026-08-01T21:29:38.602502Z","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":"2026-08-01T21:29:38.688477Z","title":"Zero touch management: A survey of network automation solutions for 5g and 6g networks.IEEE Communications Surveys & Tutorials, 24(4):2535–2578, 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.16066","last_updated":"2026-07-17T15:47:23Z","snapshot_observed_at":"2026-08-01T21:29:31.125079Z","submitted_at":"2026-07-17T15:47:23Z","title":"LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-01T21:29:38.688477Z"},"links":{"citing_paper":"/paper/2607.16066"},"observation_digest":"sha256:42cb9a2d5eb8a607697b06dfe7ecc53c23f03027d86b24fa748cc3a1819b217d","observation_id":"38fb2f24-2021-440f-aecc-2e24c955a6b2","resolution":{"observed_at":"2026-08-01T21:29:38.688477Z","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":"2026-08-01T21:29:38.763583Z","title":"Zero-touch network and service management (ZSM); intent-driven autonomous networks","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.16066","last_updated":"2026-07-17T15:47:23Z","snapshot_observed_at":"2026-08-01T21:29:31.125079Z","submitted_at":"2026-07-17T15:47:23Z","title":"LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-01T21:29:38.763583Z"},"links":{"citing_paper":"/paper/2607.16066"},"observation_digest":"sha256:407cf5be41effa6d04f1e95339589cf12ca200474c1eb9808b4d8f9ec7ef744b","observation_id":"3f40cd6a-df18-4729-95d4-9945d2042b28","resolution":{"observed_at":"2026-08-01T21:29:38.763583Z","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":"2026-08-01T21:29:38.853864Z","title":"Explainable AI (XAI): Core ideas, techniques, and solutions.ACM Computing Surveys, 55(9):1–33, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.16066","last_updated":"2026-07-17T15:47:23Z","snapshot_observed_at":"2026-08-01T21:29:31.125079Z","submitted_at":"2026-07-17T15:47:23Z","title":"LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-01T21:29:38.853864Z"},"links":{"citing_paper":"/paper/2607.16066"},"observation_digest":"sha256:76e7aea2e1c49d3a4375a0e68ac31783fe48ce20097c0ab8faad19c49e0dfd44","observation_id":"23e6b9ff-6b4a-45d2-83a7-7e52fcd5d273","resolution":{"observed_at":"2026-08-01T21:29:38.853864Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2103.02823","last_updated":"2021-03-04T03:56:55Z","snapshot_observed_at":"2026-07-06T10:46:43.643353Z","submitted_at":"2021-03-04T03:56:55Z","title":"Toward Native Artificial Intelligence in 6G Networks: System Design, Architectures, and Paradigms","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2103.02823","snapshot_observed_at":"2026-08-01T21:29:38.958020Z","title":"Toward native artificial intelligence in 6g networks: System design, architectures, and paradigms.arXiv preprint arXiv:2103.02823, 2021","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.16066","last_updated":"2026-07-17T15:47:23Z","snapshot_observed_at":"2026-08-01T21:29:31.125079Z","submitted_at":"2026-07-17T15:47:23Z","title":"LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-01T21:29:38.958020Z"},"links":{"cited_paper":"/paper/2103.02823","citing_paper":"/paper/2607.16066"},"observation_digest":"sha256:741c45d5e1154f1f129052b631853712868fca64918709db2870f68f9989234f","observation_id":"a18cd8ae-7f46-4e75-bb39-8c4a10f1b760","resolution":{"observed_at":"2026-08-01T21:29:38.958020Z","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":"2026-08-01T21:29:39.122008Z","title":"Chochliouros et al","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.16066","last_updated":"2026-07-17T15:47:23Z","snapshot_observed_at":"2026-08-01T21:29:31.125079Z","submitted_at":"2026-07-17T15:47:23Z","title":"LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-01T21:29:39.122008Z"},"links":{"citing_paper":"/paper/2607.16066"},"observation_digest":"sha256:703b2395ea91e5dfe663ae9641b68dfbbd7fc1f3f23fb2d53a913969524be2c8","observation_id":"77c2f8f9-8853-4796-bf7c-35e59c77d5fc","resolution":{"observed_at":"2026-08-01T21:29:39.122008Z","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":"2026-08-01T21:29:39.289796Z","title":"Santos et al","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.16066","last_updated":"2026-07-17T15:47:23Z","snapshot_observed_at":"2026-08-01T21:29:31.125079Z","submitted_at":"2026-07-17T15:47:23Z","title":"LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-01T21:29:39.289796Z"},"links":{"citing_paper":"/paper/2607.16066"},"observation_digest":"sha256:73347f50b40e6a53e9df527d8dcccfc7d4ed282a15fcc3599df1790d87566fb2","observation_id":"f618d21a-9a50-4bd2-be5e-fd5daa5aa3e5","resolution":{"observed_at":"2026-08-01T21:29:39.289796Z","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":"2026-08-01T21:29:39.452560Z","title":"In-band network telemetry: A survey.Computer Networks, 186:107763, 2021","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.16066","last_updated":"2026-07-17T15:47:23Z","snapshot_observed_at":"2026-08-01T21:29:31.125079Z","submitted_at":"2026-07-17T15:47:23Z","title":"LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-01T21:29:39.452560Z"},"links":{"citing_paper":"/paper/2607.16066"},"observation_digest":"sha256:3b24c1586f2aebe4236f92075d8e25ef0ad427d6ba4bfec1e90b529ce12c8e07","observation_id":"c8aba6bb-b169-4919-849d-1688c8f4e5fa","resolution":{"observed_at":"2026-08-01T21:29:39.452560Z","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":"2026-08-01T21:29:39.609462Z","title":"Ksentini et al","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.16066","last_updated":"2026-07-17T15:47:23Z","snapshot_observed_at":"2026-08-01T21:29:31.125079Z","submitted_at":"2026-07-17T15:47:23Z","title":"LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-01T21:29:39.609462Z"},"links":{"citing_paper":"/paper/2607.16066"},"observation_digest":"sha256:ba997c64f468119a5707ab279a2f6572f142f6f3adcca02837b0add6543bd280","observation_id":"37a6e207-d233-41da-88c7-ff01086ce201","resolution":{"observed_at":"2026-08-01T21:29:39.609462Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T21:29:39.779390Z","title":"MLOps as a service for AI-native 6g networks","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.16066","last_updated":"2026-07-17T15:47:23Z","snapshot_observed_at":"2026-08-01T21:29:31.125079Z","submitted_at":"2026-07-17T15:47:23Z","title":"LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-01T21:29:39.779390Z"},"links":{"citing_paper":"/paper/2607.16066"},"observation_digest":"sha256:1c2b81e7bcc93e91de8969e34552184e1a2f08650bbcbd65a8f5d1b806028d73","observation_id":"5dfd0649-7de1-4693-a46d-ab2bd32b6faf","resolution":{"observed_at":"2026-08-01T21:29:39.779390Z","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":"2026-08-01T21:29:39.924853Z","title":"Vincent Poor, and Shuguang Cui","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.16066","last_updated":"2026-07-17T15:47:23Z","snapshot_observed_at":"2026-08-01T21:29:31.125079Z","submitted_at":"2026-07-17T15:47:23Z","title":"LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-01T21:29:39.924853Z"},"links":{"citing_paper":"/paper/2607.16066"},"observation_digest":"sha256:1069478240ffe6be20ff7b1ce3e9e3c2d475f01b91bf9fab7e92c667edda6fbf","observation_id":"b7115d70-9d21-47a8-9bb8-6ef28bf7d225","resolution":{"observed_at":"2026-08-01T21:29:39.924853Z","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":"2026-08-01T21:29:40.111810Z","title":"Ameur, A","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.16066","last_updated":"2026-07-17T15:47:23Z","snapshot_observed_at":"2026-08-01T21:29:31.125079Z","submitted_at":"2026-07-17T15:47:23Z","title":"LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-01T21:29:40.111810Z"},"links":{"citing_paper":"/paper/2607.16066"},"observation_digest":"sha256:00f6a959e79e4dda1a376e5657e1dbfba17bb1551500e89f09b3c90a314e0cdb","observation_id":"1db07b4a-4b73-4feb-896b-bb057f4fd204","resolution":{"observed_at":"2026-08-01T21:29:40.111810Z","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":"2026-08-01T21:29:40.260930Z","title":"Knowledge distillation and dataset distillation of large language models: Emerging trends, challenges, and future directions.Artificial Intelligence Review, 59(1):17, 2026","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.16066","last_updated":"2026-07-17T15:47:23Z","snapshot_observed_at":"2026-08-01T21:29:31.125079Z","submitted_at":"2026-07-17T15:47:23Z","title":"LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-01T21:29:40.260930Z"},"links":{"citing_paper":"/paper/2607.16066"},"observation_digest":"sha256:c4e383e2134c17ae2dac3841325cc47fd60871bd3800795fdb4d6df75d5fa122","observation_id":"3d85a1b2-495e-446b-bbc7-0ebc2770a735","resolution":{"observed_at":"2026-08-01T21:29:40.260930Z","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":"2026-08-01T21:29:40.428049Z","title":"Explaining anomalies detected by autoencoders using shapley additive explanations.Expert Systems with Applications, 186:115736, 2021","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.16066","last_updated":"2026-07-17T15:47:23Z","snapshot_observed_at":"2026-08-01T21:29:31.125079Z","submitted_at":"2026-07-17T15:47:23Z","title":"LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-01T21:29:40.428049Z"},"links":{"citing_paper":"/paper/2607.16066"},"observation_digest":"sha256:f66383b6825cbd833b64c3aae35244bd78bd941a190c501cf34701a19ccb4292","observation_id":"b68aef7f-5c07-4a08-b093-ee7f212781a6","resolution":{"observed_at":"2026-08-01T21:29:40.428049Z","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":"2026-08-01T21:29:40.542363Z","title":"Deterministic local interpretable model-agnostic explanations for stable explainability","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.16066","last_updated":"2026-07-17T15:47:23Z","snapshot_observed_at":"2026-08-01T21:29:31.125079Z","submitted_at":"2026-07-17T15:47:23Z","title":"LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-01T21:29:40.542363Z"},"links":{"citing_paper":"/paper/2607.16066"},"observation_digest":"sha256:2f18e8adac76e0d69f5ca194e2341084e52ba6a3820dcf45e289fc69cc2076c6","observation_id":"811edfab-9de5-487c-9458-d63e3bfade5f","resolution":{"observed_at":"2026-08-01T21:29:40.542363Z","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":"2026-08-01T21:29:40.635208Z","title":"Mekrache et al","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.16066","last_updated":"2026-07-17T15:47:23Z","snapshot_observed_at":"2026-08-01T21:29:31.125079Z","submitted_at":"2026-07-17T15:47:23Z","title":"LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-01T21:29:40.635208Z"},"links":{"citing_paper":"/paper/2607.16066"},"observation_digest":"sha256:96b2b524aadf20485065aa848932ea79920bd2b39a85fcd3caeca38300e873d5","observation_id":"42686984-e97b-450c-96db-e407c6fc6b05","resolution":{"observed_at":"2026-08-01T21:29:40.635208Z","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":"2026-08-01T21:29:40.728805Z","title":"A survey on in-context learning","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.16066","last_updated":"2026-07-17T15:47:23Z","snapshot_observed_at":"2026-08-01T21:29:31.125079Z","submitted_at":"2026-07-17T15:47:23Z","title":"LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-01T21:29:40.728805Z"},"links":{"citing_paper":"/paper/2607.16066"},"observation_digest":"sha256:c23706ed5ec76d0436e7e49ce016e4b833cfb1d2529befc18e21c49d0cfd60e9","observation_id":"cb2b9150-ca49-48bc-92f3-4422b5c15357","resolution":{"observed_at":"2026-08-01T21:29:40.728805Z","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":"2026-08-01T21:29:40.821001Z","title":"How abilities in large language models are affected by supervised fine-tuning data composition","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.16066","last_updated":"2026-07-17T15:47:23Z","snapshot_observed_at":"2026-08-01T21:29:31.125079Z","submitted_at":"2026-07-17T15:47:23Z","title":"LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-01T21:29:40.821001Z"},"links":{"citing_paper":"/paper/2607.16066"},"observation_digest":"sha256:d0eaf2341dfd7e84b67e7b893007cffd01fb25cf50d9fe04c56aa651701316bf","observation_id":"ea6946cb-6729-4218-911d-c0dca8dd087d","resolution":{"observed_at":"2026-08-01T21:29:40.821001Z","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":"2026-08-01T21:29:40.925779Z","title":"Jane Qin, Xiaohui Tao, and Fu Lee Wang","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.16066","last_updated":"2026-07-17T15:47:23Z","snapshot_observed_at":"2026-08-01T21:29:31.125079Z","submitted_at":"2026-07-17T15:47:23Z","title":"LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-01T21:29:40.925779Z"},"links":{"citing_paper":"/paper/2607.16066"},"observation_digest":"sha256:25f2b034a23e3e303192cda03158bb3372b6c2ba7176e96cfbee7994050d1226","observation_id":"46bd6173-4238-42e4-8d6e-661932f6e705","resolution":{"observed_at":"2026-08-01T21:29:40.925779Z","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":"2026-08-01T21:29:41.015152Z","title":"LoRA: Low-rank adaptation of large language models","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.16066","last_updated":"2026-07-17T15:47:23Z","snapshot_observed_at":"2026-08-01T21:29:31.125079Z","submitted_at":"2026-07-17T15:47:23Z","title":"LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-01T21:29:41.015152Z"},"links":{"citing_paper":"/paper/2607.16066"},"observation_digest":"sha256:1b2eab85f78ea73213420dbc26f981016235455123e2c71b31b195d2f99179eb","observation_id":"ad72ff74-a5a0-482b-a623-85deb637bf1e","resolution":{"observed_at":"2026-08-01T21:29:41.015152Z","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":"2026-08-01T21:29:41.099942Z","title":"DeepSeek-R1: Incentivizing reasoning capability in LLMs via reinforcement learning.arXiv preprint arXiv:cs.CL, 2026","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.16066","last_updated":"2026-07-17T15:47:23Z","snapshot_observed_at":"2026-08-01T21:29:31.125079Z","submitted_at":"2026-07-17T15:47:23Z","title":"LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-01T21:29:41.099942Z"},"links":{"citing_paper":"/paper/2607.16066"},"observation_digest":"sha256:f3d4900fb7c2abdf78fdca43cf6e396c73a47c9f7d30528aed6afc4a808c98e3","observation_id":"f59dc3cc-68da-4bde-92ca-e7f9a7cb1d7f","resolution":{"observed_at":"2026-08-01T21:29:41.099942Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.13116","last_updated":"2024-10-21T16:22:33Z","snapshot_observed_at":"2026-08-02T17:17:56.296462Z","submitted_at":"2024-02-20T16:17:37Z","title":"A Survey on Knowledge Distillation of Large Language Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.13116","snapshot_observed_at":"2026-08-01T21:29:41.197861Z","title":"A survey on knowledge distillation of large language models.arXiv preprint arXiv:2402.13116, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.16066","last_updated":"2026-07-17T15:47:23Z","snapshot_observed_at":"2026-08-01T21:29:31.125079Z","submitted_at":"2026-07-17T15:47:23Z","title":"LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-01T21:29:41.197861Z"},"links":{"cited_paper":"/paper/2402.13116","citing_paper":"/paper/2607.16066"},"observation_digest":"sha256:5b438802a4a35c40f7f62835708b24e7eb2b359ea5cdf5e896ea13991095918f","observation_id":"95319f74-0a3d-4e83-94d0-5687217d1ee0","resolution":{"observed_at":"2026-08-01T21:29:41.197861Z","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":"2026-08-01T21:29:41.271530Z","title":"ReFT: Representation finetuning for language models.arXiv preprint arXiv:cs.CL, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.16066","last_updated":"2026-07-17T15:47:23Z","snapshot_observed_at":"2026-08-01T21:29:31.125079Z","submitted_at":"2026-07-17T15:47:23Z","title":"LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-01T21:29:41.271530Z"},"links":{"citing_paper":"/paper/2607.16066"},"observation_digest":"sha256:5d2b502ae39a8a2ec9621219eb9da8caff8ed84763d44375be73d195e5aa2892","observation_id":"6d0d444d-6c8f-4f2f-a434-73dba76cc1cf","resolution":{"observed_at":"2026-08-01T21:29:41.271530Z","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":"2026-08-01T21:29:41.360998Z","title":"Large language models are zero-shot reasoners","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.16066","last_updated":"2026-07-17T15:47:23Z","snapshot_observed_at":"2026-08-01T21:29:31.125079Z","submitted_at":"2026-07-17T15:47:23Z","title":"LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-01T21:29:41.360998Z"},"links":{"citing_paper":"/paper/2607.16066"},"observation_digest":"sha256:e5b76c2477204887f844dc050814193f4327c3c29f6d56d3770f16469d8d923f","observation_id":"7cb494b1-fe11-4fe1-b1df-b37a36d5d6d1","resolution":{"observed_at":"2026-08-01T21:29:41.360998Z","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":"2026-08-01T21:29:41.439146Z","title":"The unreliability of explanations in few-shot prompting for textual reasoning","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.16066","last_updated":"2026-07-17T15:47:23Z","snapshot_observed_at":"2026-08-01T21:29:31.125079Z","submitted_at":"2026-07-17T15:47:23Z","title":"LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-01T21:29:41.439146Z"},"links":{"citing_paper":"/paper/2607.16066"},"observation_digest":"sha256:c08880a752f878072148216e786d08e38000fef5d62cf3cab99f7f4281fbf9c4","observation_id":"fcb5cbe6-4b19-4d66-a0ed-1ce509cb858a","resolution":{"observed_at":"2026-08-01T21:29:41.439146Z","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":"2026-08-01T21:29:41.519531Z","title":"Reasoning for translation: Comparative analysis of chain-of-thought and tree-of-thought prompting for LLM translation","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.16066","last_updated":"2026-07-17T15:47:23Z","snapshot_observed_at":"2026-08-01T21:29:31.125079Z","submitted_at":"2026-07-17T15:47:23Z","title":"LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-01T21:29:41.519531Z"},"links":{"citing_paper":"/paper/2607.16066"},"observation_digest":"sha256:75b0d2a7063cdad056f7232e4519170ad2755ff23222191a7e003763e82ba419","observation_id":"a006fea7-bbea-4f07-91f2-825beed41ca9","resolution":{"observed_at":"2026-08-01T21:29:41.519531Z","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":"2026-08-01T21:29:41.620485Z","title":"Retrieval-augmented generation for knowledge-intensive NLP tasks","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.16066","last_updated":"2026-07-17T15:47:23Z","snapshot_observed_at":"2026-08-01T21:29:31.125079Z","submitted_at":"2026-07-17T15:47:23Z","title":"LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-01T21:29:41.620485Z"},"links":{"citing_paper":"/paper/2607.16066"},"observation_digest":"sha256:36e1ac76d1bcffb627ba1deeb07178391cf3765723446e5bacb96e76d5dffeaf","observation_id":"8c77d111-b342-409e-b2fb-1f07c9d0b26b","resolution":{"observed_at":"2026-08-01T21:29:41.620485Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.08244","last_updated":"2023-10-25T06:54:12Z","snapshot_observed_at":"2026-08-02T00:07:12.855748Z","submitted_at":"2023-04-14T14:05:32Z","title":"API-Bank: A Comprehensive Benchmark for Tool-Augmented LLMs","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.08244","snapshot_observed_at":"2026-08-01T21:29:41.718592Z","title":"API-Bank: A comprehensive benchmark for tool-augmented LLMs.arXiv preprint arXiv:2304.08244, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.16066","last_updated":"2026-07-17T15:47:23Z","snapshot_observed_at":"2026-08-01T21:29:31.125079Z","submitted_at":"2026-07-17T15:47:23Z","title":"LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-01T21:29:41.718592Z"},"links":{"cited_paper":"/paper/2304.08244","citing_paper":"/paper/2607.16066"},"observation_digest":"sha256:7df1eb67f7c5cfd11363fc70fcb4f703259cb94a2d66be9352d848b2fd35f170","observation_id":"0d4518c6-0ccc-4314-a513-d460d619016c","resolution":{"observed_at":"2026-08-01T21:29:41.718592Z","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":"2026-08-01T21:29:41.783881Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.16066","last_updated":"2026-07-17T15:47:23Z","snapshot_observed_at":"2026-08-01T21:29:31.125079Z","submitted_at":"2026-07-17T15:47:23Z","title":"LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-01T21:29:41.783881Z"},"links":{"citing_paper":"/paper/2607.16066"},"observation_digest":"sha256:ce6bb346cbc316ae630a9415bd8929368950036de549b9520c51a0ac2a17ba98","observation_id":"a6f88aed-d9e6-4407-aec9-c4030ce85a34","resolution":{"observed_at":"2026-08-01T21:29:41.783881Z","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":"2026-08-01T21:29:41.876608Z","title":"A practical guide to building agents","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.16066","last_updated":"2026-07-17T15:47:23Z","snapshot_observed_at":"2026-08-01T21:29:31.125079Z","submitted_at":"2026-07-17T15:47:23Z","title":"LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization","version":1},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-01T21:29:41.876608Z"},"links":{"citing_paper":"/paper/2607.16066"},"observation_digest":"sha256:0290611e02453e63f69c74b73d6cf9f0d6ac4dfac406b6dd6bdb94af92ece9d3","observation_id":"8a00a6bb-46cc-4cc3-8706-82fdf90a58f9","resolution":{"observed_at":"2026-08-01T21:29:41.876608Z","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":"2026-08-01T21:29:42.007589Z","title":"Building effective AI agents","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.16066","last_updated":"2026-07-17T15:47:23Z","snapshot_observed_at":"2026-08-01T21:29:31.125079Z","submitted_at":"2026-07-17T15:47:23Z","title":"LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization","version":1},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-01T21:29:42.007589Z"},"links":{"citing_paper":"/paper/2607.16066"},"observation_digest":"sha256:778fa06d2209f5c35cbfe2c07f7e090f5e72a7afddf4bbba8fb796bfb4ce9a4f","observation_id":"100caf7f-67f9-497b-bb80-a0f509c7b7c3","resolution":{"observed_at":"2026-08-01T21:29:42.007589Z","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":"2026-08-01T21:29:42.073146Z","title":"Tool learning with foundation models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.16066","last_updated":"2026-07-17T15:47:23Z","snapshot_observed_at":"2026-08-01T21:29:31.125079Z","submitted_at":"2026-07-17T15:47:23Z","title":"LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization","version":1},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-01T21:29:42.073146Z"},"links":{"citing_paper":"/paper/2607.16066"},"observation_digest":"sha256:c106337e79c51d211d322bf73461f200eb8b9f9689c3af80d82a78d4f1d1b96d","observation_id":"6216a256-34ee-4512-bc68-4f3f5cb9b939","resolution":{"observed_at":"2026-08-01T21:29:42.073146Z","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":"2026-08-01T21:29:42.162988Z","title":"The evolution of agentic AI: Architecture and workflows for autonomous systems.Journal of Multidisciplinary, 5:418–427, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.16066","last_updated":"2026-07-17T15:47:23Z","snapshot_observed_at":"2026-08-01T21:29:31.125079Z","submitted_at":"2026-07-17T15:47:23Z","title":"LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization","version":1},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-01T21:29:42.162988Z"},"links":{"citing_paper":"/paper/2607.16066"},"observation_digest":"sha256:0b2d13b8fc0db71464650a5637c542a3fdd2d84ca2d97c1c21f2bc11304e44a6","observation_id":"704d7fe1-722a-4d91-8ac2-d4a1914df512","resolution":{"observed_at":"2026-08-01T21:29:42.162988Z","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":"2026-08-01T21:29:42.248557Z","title":"ReAct: Synergizing reasoning and acting in language models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.16066","last_updated":"2026-07-17T15:47:23Z","snapshot_observed_at":"2026-08-01T21:29:31.125079Z","submitted_at":"2026-07-17T15:47:23Z","title":"LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization","version":1},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-01T21:29:42.248557Z"},"links":{"citing_paper":"/paper/2607.16066"},"observation_digest":"sha256:72a87f411992f58876b59e4e4fc22a23485aa22eb6c2612abc59d2a1d6440b9d","observation_id":"035d4767-20b6-4e4f-b0d3-abf96989862f","resolution":{"observed_at":"2026-08-01T21:29:42.248557Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.03442","last_updated":"2023-08-06T00:21:19Z","snapshot_observed_at":"2026-07-06T15:13:13.695535Z","submitted_at":"2023-04-07T01:55:19Z","title":"Generative Agents: Interactive Simulacra of Human Behavior","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.03442","snapshot_observed_at":"2026-08-01T21:29:42.347869Z","title":"AutoGPT: Autonomous GPT for complex task solving.arXiv preprint arXiv:2304.03442, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.16066","last_updated":"2026-07-17T15:47:23Z","snapshot_observed_at":"2026-08-01T21:29:31.125079Z","submitted_at":"2026-07-17T15:47:23Z","title":"LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization","version":1},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-01T21:29:42.347869Z"},"links":{"cited_paper":"/paper/2304.03442","citing_paper":"/paper/2607.16066"},"observation_digest":"sha256:1e485b738ffd491fc885834f510a24fe795aafcf3c18105a96a7c8a27a9ef79e","observation_id":"b76087c6-c27f-40c5-ac64-a2c3caee48a0","resolution":{"observed_at":"2026-08-01T21:29:42.347869Z","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":"10.1109/mcom.001.2500366","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T21:33:33.167808Z","title":"Ameur, B","venue":null,"work_id":"0a75a2ae-ad0d-454c-bbf3-57779b13b075","year":2025},"citing_paper":{"arxiv_id":"2607.16066","last_updated":"2026-07-17T15:47:23Z","snapshot_observed_at":"2026-08-01T21:29:31.125079Z","submitted_at":"2026-07-17T15:47:23Z","title":"LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization","version":1},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-01T21:29:42.415873Z"},"links":{"citing_paper":"/paper/2607.16066"},"observation_digest":"sha256:0f5c8948c427dc75a8c99de4625f7be125b257e9c1ab27ca51abe42974093fa4","observation_id":"5640e35d-d163-4654-9605-b5c0b2a0f4f6","resolution":{"observed_at":"2026-08-01T21:33:33.170963Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.11598","last_updated":"2023-05-19T11:20:37Z","snapshot_observed_at":"2026-07-06T15:29:39.466936Z","submitted_at":"2023-05-19T11:20:37Z","title":"Introspective Tips: Large Language Model for In-Context Decision Making","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.11598","snapshot_observed_at":"2026-08-01T21:29:42.517342Z","title":"Multi-agent collaboration: Harnessing the power of LLMs.arXiv preprint arXiv:2305.11598, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.16066","last_updated":"2026-07-17T15:47:23Z","snapshot_observed_at":"2026-08-01T21:29:31.125079Z","submitted_at":"2026-07-17T15:47:23Z","title":"LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization","version":1},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-08-01T21:29:42.517342Z"},"links":{"cited_paper":"/paper/2305.11598","citing_paper":"/paper/2607.16066"},"observation_digest":"sha256:e3b734f502d504e4a817fd657cf20ebf3552ace3b0414ae528b6e723c206f2bc","observation_id":"8a8d9809-e74c-4622-9f2c-6a3f077b7056","resolution":{"observed_at":"2026-08-01T21:29:42.517342Z","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":"2026-08-01T21:29:42.609569Z","title":"A survey of agent interoperability protocols: Model context protocol (MCP), agent communication protocol (ACP), agent-to-agent protocol (A2A), and agent network protocol (ANP)","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.16066","last_updated":"2026-07-17T15:47:23Z","snapshot_observed_at":"2026-08-01T21:29:31.125079Z","submitted_at":"2026-07-17T15:47:23Z","title":"LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization","version":1},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-08-01T21:29:42.609569Z"},"links":{"citing_paper":"/paper/2607.16066"},"observation_digest":"sha256:fef2d1ef6ca7d4d56608f279a0b19e1549bba732fdbbc7f40371d6282753d87b","observation_id":"9d31ce8b-7b0f-4f5f-90f5-88649498a6a4","resolution":{"observed_at":"2026-08-01T21:29:42.609569Z","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":"2026-08-01T21:29:42.725367Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.16066","last_updated":"2026-07-17T15:47:23Z","snapshot_observed_at":"2026-08-01T21:29:31.125079Z","submitted_at":"2026-07-17T15:47:23Z","title":"LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization","version":1},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-08-01T21:29:42.725367Z"},"links":{"citing_paper":"/paper/2607.16066"},"observation_digest":"sha256:b38c98252fcc272f202492d72d6fb1431af4cc7e528648dc7da3eef7ec1e85de","observation_id":"ab8606c4-56d0-4f09-a146-8a2c56398205","resolution":{"observed_at":"2026-08-01T21:29:42.725367Z","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":"2026-08-01T21:29:42.826838Z","title":"Ameur, B","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.16066","last_updated":"2026-07-17T15:47:23Z","snapshot_observed_at":"2026-08-01T21:29:31.125079Z","submitted_at":"2026-07-17T15:47:23Z","title":"LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization","version":1},"reference_index":77,"source":"pdf_text","source_observed_at":"2026-08-01T21:29:42.826838Z"},"links":{"citing_paper":"/paper/2607.16066"},"observation_digest":"sha256:69b7f63072db0837ab8ba12c4641037523fab1bbbf88535b218e27383e373d09","observation_id":"c73bba9f-63a9-4933-8044-be9cbdd538a9","resolution":{"observed_at":"2026-08-01T21:29:42.826838Z","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":"2026-08-01T21:29:42.902811Z","title":"Agent network protocol (ANP)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.16066","last_updated":"2026-07-17T15:47:23Z","snapshot_observed_at":"2026-08-01T21:29:31.125079Z","submitted_at":"2026-07-17T15:47:23Z","title":"LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization","version":1},"reference_index":78,"source":"pdf_text","source_observed_at":"2026-08-01T21:29:42.902811Z"},"links":{"citing_paper":"/paper/2607.16066"},"observation_digest":"sha256:88a24e46befe2cb5b51cf6eb101786022598032ce7d427d67a84e3da0939fb12","observation_id":"ea864fd7-f37a-417e-9d50-93433cc35381","resolution":{"observed_at":"2026-08-01T21:29:42.902811Z","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":"2026-08-01T21:29:42.998618Z","title":"Introduction to agent communication protocol (ACP)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.16066","last_updated":"2026-07-17T15:47:23Z","snapshot_observed_at":"2026-08-01T21:29:31.125079Z","submitted_at":"2026-07-17T15:47:23Z","title":"LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization","version":1},"reference_index":79,"source":"pdf_text","source_observed_at":"2026-08-01T21:29:42.998618Z"},"links":{"citing_paper":"/paper/2607.16066"},"observation_digest":"sha256:2fdb69934a60540ae64af9bac64b12c3ec25caa770415ee6bd5fd5304fe2e157","observation_id":"68e213a1-c657-4446-a930-5362f57713f6","resolution":{"observed_at":"2026-08-01T21:29:42.998618Z","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":"2026-08-01T21:29:43.132052Z","title":"Announcing agent payments protocol (AP2)","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.16066","last_updated":"2026-07-17T15:47:23Z","snapshot_observed_at":"2026-08-01T21:29:31.125079Z","submitted_at":"2026-07-17T15:47:23Z","title":"LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization","version":1},"reference_index":80,"source":"pdf_text","source_observed_at":"2026-08-01T21:29:43.132052Z"},"links":{"citing_paper":"/paper/2607.16066"},"observation_digest":"sha256:10ace392e82842f5b820dbf251b07570020c5919ee241cc8c129993e2f4f3bb4","observation_id":"bee0044f-feb0-4bd7-b782-0350a04d552c","resolution":{"observed_at":"2026-08-01T21:29:43.132052Z","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":"2026-08-01T21:29:43.288883Z","title":"AI-native network APIs: A telco framework for the agent economy.SSRN, (5223311), 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.16066","last_updated":"2026-07-17T15:47:23Z","snapshot_observed_at":"2026-08-01T21:29:31.125079Z","submitted_at":"2026-07-17T15:47:23Z","title":"LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization","version":1},"reference_index":81,"source":"pdf_text","source_observed_at":"2026-08-01T21:29:43.288883Z"},"links":{"citing_paper":"/paper/2607.16066"},"observation_digest":"sha256:951f3b1fccfd4cc2cc80f139a738813c03fbc17db66fd0bc39fc3f2b3a1a3751","observation_id":"5a71ccc4-3d88-410c-b70b-aba88f427bac","resolution":{"observed_at":"2026-08-01T21:29:43.288883Z","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":"2026-08-01T21:29:43.354090Z","title":"The rise of agentic AI: A review of definitions, frameworks, architectures, applications, evaluation metrics, and challenges.Future Internet, 17(9):404, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.16066","last_updated":"2026-07-17T15:47:23Z","snapshot_observed_at":"2026-08-01T21:29:31.125079Z","submitted_at":"2026-07-17T15:47:23Z","title":"LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization","version":1},"reference_index":82,"source":"pdf_text","source_observed_at":"2026-08-01T21:29:43.354090Z"},"links":{"citing_paper":"/paper/2607.16066"},"observation_digest":"sha256:c7242f2a4a557d4b20159549e3401077149e96a4040b302ddfb72b3905cf01be","observation_id":"7f85c408-32dc-4185-a3f8-f2a230d8c538","resolution":{"observed_at":"2026-08-01T21:29:43.354090Z","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":"2026-08-01T21:29:43.418827Z","title":"Vasilakos, and Christos Emmanouilidis","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.16066","last_updated":"2026-07-17T15:47:23Z","snapshot_observed_at":"2026-08-01T21:29:31.125079Z","submitted_at":"2026-07-17T15:47:23Z","title":"LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization","version":1},"reference_index":83,"source":"pdf_text","source_observed_at":"2026-08-01T21:29:43.418827Z"},"links":{"citing_paper":"/paper/2607.16066"},"observation_digest":"sha256:2df25c9aed1f04311088f88a764fa596c13d46ad79580bade9a016b3ad80e890","observation_id":"92af0868-652d-4faa-9557-190b53070181","resolution":{"observed_at":"2026-08-01T21:29:43.418827Z","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":"2026-08-01T21:29:43.504087Z","title":"Elkael et al","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.16066","last_updated":"2026-07-17T15:47:23Z","snapshot_observed_at":"2026-08-01T21:29:31.125079Z","submitted_at":"2026-07-17T15:47:23Z","title":"LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization","version":1},"reference_index":84,"source":"pdf_text","source_observed_at":"2026-08-01T21:29:43.504087Z"},"links":{"citing_paper":"/paper/2607.16066"},"observation_digest":"sha256:8cf9fd87bf92fa5d974abbe5996fa1d4038cd36fee22c184112791579eaa1b18","observation_id":"6f297efa-4f48-46d8-a481-f031281f0355","resolution":{"observed_at":"2026-08-01T21:29:43.504087Z","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":"2026-08-01T21:29:43.610914Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.16066","last_updated":"2026-07-17T15:47:23Z","snapshot_observed_at":"2026-08-01T21:29:31.125079Z","submitted_at":"2026-07-17T15:47:23Z","title":"LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization","version":1},"reference_index":85,"source":"pdf_text","source_observed_at":"2026-08-01T21:29:43.610914Z"},"links":{"citing_paper":"/paper/2607.16066"},"observation_digest":"sha256:7d6d3ce51027ae19d6551fa10462b25c86f5f17bf54fc70bf28785ab9efa87d5","observation_id":"ea767dbf-976e-45b8-9a88-dd90b17a255f","resolution":{"observed_at":"2026-08-01T21:29:43.610914Z","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":"2026-08-01T21:29:43.716750Z","title":"Salan et al","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.16066","last_updated":"2026-07-17T15:47:23Z","snapshot_observed_at":"2026-08-01T21:29:31.125079Z","submitted_at":"2026-07-17T15:47:23Z","title":"LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization","version":1},"reference_index":86,"source":"pdf_text","source_observed_at":"2026-08-01T21:29:43.716750Z"},"links":{"citing_paper":"/paper/2607.16066"},"observation_digest":"sha256:b25abc8c0607162ef678f25e742c1765e3638e46d77641d4ff76d6eb3c0c3a08","observation_id":"26b8a0fd-bcb4-48b8-a7df-731998cf6431","resolution":{"observed_at":"2026-08-01T21:29:43.716750Z","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":"2026-08-01T21:29:43.843529Z","title":"Kamatani et al","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.16066","last_updated":"2026-07-17T15:47:23Z","snapshot_observed_at":"2026-08-01T21:29:31.125079Z","submitted_at":"2026-07-17T15:47:23Z","title":"LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization","version":1},"reference_index":87,"source":"pdf_text","source_observed_at":"2026-08-01T21:29:43.843529Z"},"links":{"citing_paper":"/paper/2607.16066"},"observation_digest":"sha256:bc707f0d36ec9aef3d65aa9e000a000b6586fc4ab1f4f6fa8b0baf23a51e5869","observation_id":"6f0912e5-2f9a-47a9-bf02-b680d08ec696","resolution":{"observed_at":"2026-08-01T21:29:43.843529Z","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":"2026-08-01T21:29:44.017736Z","title":"Towards 6g native-AI edge networks: A semantic-aware and agentic intelligence paradigm.arXiv preprint arXiv:2512.04405, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.16066","last_updated":"2026-07-17T15:47:23Z","snapshot_observed_at":"2026-08-01T21:29:31.125079Z","submitted_at":"2026-07-17T15:47:23Z","title":"LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization","version":1},"reference_index":88,"source":"pdf_text","source_observed_at":"2026-08-01T21:29:44.017736Z"},"links":{"citing_paper":"/paper/2607.16066"},"observation_digest":"sha256:18a0bfbd5f9d16f8bfcf365eb193ad674d3df49d22f80995c7457857bfeb1e0e","observation_id":"ff633214-9c24-47e6-a8c4-598dcc754bc0","resolution":{"observed_at":"2026-08-01T21:29:44.017736Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2512.12400","last_updated":"2026-04-14T21:06:42Z","snapshot_observed_at":"2026-07-06T22:38:59.725645Z","submitted_at":"2025-12-13T17:15:00Z","title":"Agentic AI for 6G: A New Paradigm for Autonomous RAN Security Compliance","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2512.12400","snapshot_observed_at":"2026-08-01T21:29:44.163731Z","title":"Agentic AI for 6g: A new paradigm for autonomous RAN security compliance.arXiv preprint arXiv:2512.12400, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.16066","last_updated":"2026-07-17T15:47:23Z","snapshot_observed_at":"2026-08-01T21:29:31.125079Z","submitted_at":"2026-07-17T15:47:23Z","title":"LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization","version":1},"reference_index":89,"source":"pdf_text","source_observed_at":"2026-08-01T21:29:44.163731Z"},"links":{"cited_paper":"/paper/2512.12400","citing_paper":"/paper/2607.16066"},"observation_digest":"sha256:9f14e97605c07bfafd5c8787c7eb0b4ebfa8b7f263178995c13cd60ba25b1704","observation_id":"226a898c-0f4c-4178-a97c-94d38b9cfc5e","resolution":{"observed_at":"2026-08-01T21:29:44.163731Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.00341","last_updated":"2025-04-01T01:45:07Z","snapshot_observed_at":"2026-07-06T21:02:03.850521Z","submitted_at":"2025-04-01T01:45:07Z","title":"Integrated LLM-Based Intrusion Detection with Secure Slicing xApp for Securing O-RAN-Enabled Wireless Network Deployments","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.00341","snapshot_observed_at":"2026-08-01T21:29:44.336842Z","title":"Abdalla, Prashant Khanal, and Vuk Marojevic","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.16066","last_updated":"2026-07-17T15:47:23Z","snapshot_observed_at":"2026-08-01T21:29:31.125079Z","submitted_at":"2026-07-17T15:47:23Z","title":"LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization","version":1},"reference_index":90,"source":"pdf_text","source_observed_at":"2026-08-01T21:29:44.336842Z"},"links":{"cited_paper":"/paper/2504.00341","citing_paper":"/paper/2607.16066"},"observation_digest":"sha256:6d679c27fb6134d1020ff27416444e3c91c2795bd57b000bc5718510022a898a","observation_id":"eead0d37-10d9-4cc2-b6ee-db9368c6aaa2","resolution":{"observed_at":"2026-08-01T21:29:44.336842Z","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":"2026-08-01T21:29:44.522215Z","title":"6G-xSec: Explainable edge security for emerging OpenRAN architectures","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.16066","last_updated":"2026-07-17T15:47:23Z","snapshot_observed_at":"2026-08-01T21:29:31.125079Z","submitted_at":"2026-07-17T15:47:23Z","title":"LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization","version":1},"reference_index":91,"source":"pdf_text","source_observed_at":"2026-08-01T21:29:44.522215Z"},"links":{"citing_paper":"/paper/2607.16066"},"observation_digest":"sha256:b87f8d785e8d3da9d78d31c2af850a554bfc4321c22a42dc76259f1549f6b115","observation_id":"957763e5-ce7c-4675-9fad-e3e54bcaa006","resolution":{"observed_at":"2026-08-01T21:29:44.522215Z","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":"2026-08-01T21:29:44.689512Z","title":"Chatzistefanidis et al","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.16066","last_updated":"2026-07-17T15:47:23Z","snapshot_observed_at":"2026-08-01T21:29:31.125079Z","submitted_at":"2026-07-17T15:47:23Z","title":"LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization","version":1},"reference_index":92,"source":"pdf_text","source_observed_at":"2026-08-01T21:29:44.689512Z"},"links":{"citing_paper":"/paper/2607.16066"},"observation_digest":"sha256:ea46164535e55f6ba174efbd469d340e5bb5ed06895ce11a73ce4c855676bab0","observation_id":"3f696877-db75-49bf-b26c-593f46de5fd1","resolution":{"observed_at":"2026-08-01T21:29:44.689512Z","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":"2026-08-01T21:29:44.908826Z","title":"Towards xapp conflict evaluation with explainable machine learning and causal inference in O-RAN.arXiv preprint arXiv:2510.13031, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.16066","last_updated":"2026-07-17T15:47:23Z","snapshot_observed_at":"2026-08-01T21:29:31.125079Z","submitted_at":"2026-07-17T15:47:23Z","title":"LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization","version":1},"reference_index":93,"source":"pdf_text","source_observed_at":"2026-08-01T21:29:44.908826Z"},"links":{"citing_paper":"/paper/2607.16066"},"observation_digest":"sha256:d264323b31a9a847467707c74567400800c6fa857cfeb28040c7e0d3a61872a7","observation_id":"03763f34-794f-43b9-bfb0-54d365184f1b","resolution":{"observed_at":"2026-08-01T21:29:44.908826Z","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":"2026-08-01T21:29:45.081361Z","title":"Maxenti et al","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.16066","last_updated":"2026-07-17T15:47:23Z","snapshot_observed_at":"2026-08-01T21:29:31.125079Z","submitted_at":"2026-07-17T15:47:23Z","title":"LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization","version":1},"reference_index":94,"source":"pdf_text","source_observed_at":"2026-08-01T21:29:45.081361Z"},"links":{"citing_paper":"/paper/2607.16066"},"observation_digest":"sha256:5dd117b4c06b56b1aaac0623505294254f4c76898fb74daedbe13f9900d92b0e","observation_id":"92ce2c69-f02d-42cb-a362-ccc225036e6e","resolution":{"observed_at":"2026-08-01T21:29:45.081361Z","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":"2026-08-01T21:29:45.220121Z","title":"The LLM as a network operator: A vision for generative AI in the 6g radio access network.arXiv preprint arXiv:cs.NI, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.16066","last_updated":"2026-07-17T15:47:23Z","snapshot_observed_at":"2026-08-01T21:29:31.125079Z","submitted_at":"2026-07-17T15:47:23Z","title":"LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization","version":1},"reference_index":95,"source":"pdf_text","source_observed_at":"2026-08-01T21:29:45.220121Z"},"links":{"citing_paper":"/paper/2607.16066"},"observation_digest":"sha256:fd846479a3526f4200813d3237e65718558d6bf4623d5d65e915ffd0f3b7b872","observation_id":"48fc3e2f-8dee-4fb4-84d3-4ff5c2525153","resolution":{"observed_at":"2026-08-01T21:29:45.220121Z","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":"2026-08-01T21:29:45.384218Z","title":"GenOnet: Generative open xg network simulation with multi-agent LLM and ns-3","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.16066","last_updated":"2026-07-17T15:47:23Z","snapshot_observed_at":"2026-08-01T21:29:31.125079Z","submitted_at":"2026-07-17T15:47:23Z","title":"LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization","version":1},"reference_index":96,"source":"pdf_text","source_observed_at":"2026-08-01T21:29:45.384218Z"},"links":{"citing_paper":"/paper/2607.16066"},"observation_digest":"sha256:ebbaa146f792ec9b1c8c7e563de28caf8c88c2940b66c309e24e3d422f967c95","observation_id":"83d3fb45-6443-4fd7-a150-2334c7982fa1","resolution":{"observed_at":"2026-08-01T21:29:45.384218Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2512.20640","last_updated":"2026-04-21T11:04:29Z","snapshot_observed_at":"2026-08-02T12:58:58.339272Z","submitted_at":"2025-12-08T06:34:35Z","title":"Reflection-Driven Self-Optimization 6G Agentic AI RAN via Simulation-in-the-Loop Workflows","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2512.20640","snapshot_observed_at":"2026-08-01T21:29:45.554058Z","title":"Hu et al","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.16066","last_updated":"2026-07-17T15:47:23Z","snapshot_observed_at":"2026-08-01T21:29:31.125079Z","submitted_at":"2026-07-17T15:47:23Z","title":"LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization","version":1},"reference_index":97,"source":"pdf_text","source_observed_at":"2026-08-01T21:29:45.554058Z"},"links":{"cited_paper":"/paper/2512.20640","citing_paper":"/paper/2607.16066"},"observation_digest":"sha256:579cab5b83de50c1bb2bb2891bee43759b061cfe7b96b63eee83cc052465b39c","observation_id":"5f8dca09-8a56-4762-b19b-4ca196d696e5","resolution":{"observed_at":"2026-08-01T21:29:45.554058Z","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":"2026-08-01T21:29:45.732654Z","title":"Symbiotic agents: A novel paradigm for trustworthy AGI-driven networks.Computer Networks, page 111749, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.16066","last_updated":"2026-07-17T15:47:23Z","snapshot_observed_at":"2026-08-01T21:29:31.125079Z","submitted_at":"2026-07-17T15:47:23Z","title":"LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization","version":1},"reference_index":98,"source":"pdf_text","source_observed_at":"2026-08-01T21:29:45.732654Z"},"links":{"citing_paper":"/paper/2607.16066"},"observation_digest":"sha256:5811d4ee80dccef2de640af39b7407f00f6f7ab181ba606469e87a12750d2e14","observation_id":"86624cdb-0a8c-4acf-adcc-bd839b6d8d71","resolution":{"observed_at":"2026-08-01T21:29:45.732654Z","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":"2026-08-01T21:29:45.878831Z","title":"SafeServe: Scalable tooling for release safety and push testing in multi-app monetization platforms","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.16066","last_updated":"2026-07-17T15:47:23Z","snapshot_observed_at":"2026-08-01T21:29:31.125079Z","submitted_at":"2026-07-17T15:47:23Z","title":"LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization","version":1},"reference_index":99,"source":"pdf_text","source_observed_at":"2026-08-01T21:29:45.878831Z"},"links":{"citing_paper":"/paper/2607.16066"},"observation_digest":"sha256:a586f21291a3604a6e7ac2d4ce2349e79953bb9654714fb57e9f74a4a975663f","observation_id":"89ad23ee-09a4-4326-81f1-45f0104937a3","resolution":{"observed_at":"2026-08-01T21:29:45.878831Z","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":"2026-08-01T21:29:46.087937Z","title":"LLM-enabled full-stack configuration automation of SDM transport network","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.16066","last_updated":"2026-07-17T15:47:23Z","snapshot_observed_at":"2026-08-01T21:29:31.125079Z","submitted_at":"2026-07-17T15:47:23Z","title":"LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization","version":1},"reference_index":100,"source":"pdf_text","source_observed_at":"2026-08-01T21:29:46.087937Z"},"links":{"citing_paper":"/paper/2607.16066"},"observation_digest":"sha256:a85becb6badb15fbc85b88ed372f9942fab7bddf4b8192580e3c83855973a84c","observation_id":"199513d4-9144-4486-8b43-650d5029113d","resolution":{"observed_at":"2026-08-01T21:29:46.087937Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2607.16066","last_updated":"2026-07-17T15:47:23Z","latest_version":1,"primary_category":"cs.NI","snapshot_observed_at":"2026-08-01T21:29:31.125079Z","submitted_at":"2026-07-17T15:47:23Z","title":"LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization"},"reference_resolution":{"displayed":100,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":98,"verified_exact":2,"verified_fuzzy":0},"total_outbound_references":180},"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":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"thesis":"As of 4 August 2026, this Paper Citation Record lists 100 of 180 outbound references and 0 inbound Pith citation observations for arXiv:2607.16066."}