{"as_of":"2026-08-22T22:18:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:9cb30ef14e53ff52a73af79f26e82744007dd64faa45d88dfeaebdd9afa8cde8","coverage":[{"denominator":15,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":15,"source":"paper_references, paper_reference_links","source_observed_at":"2026-06-30T11:22:58.667118Z","state":"measured"},{"denominator":15,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":15,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-22T06:32:14.747728+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/2606.28339/citation-record","integrity":"/paper/2606.28339/integrity","json":"/paper/2606.28339/citation-record.json","paper":"/paper/2606.28339"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T10:36:10.768376Z","title":"6g-enabled ultra-reliable low latency communication for industry 5.0: Challenges and future directions,","venue":null,"work_id":"93960b96-273d-480b-84cc-eb23d2d47c02","year":2024},"citing_paper":{"arxiv_id":"2606.28339","last_updated":"2026-05-31T16:18:25Z","snapshot_observed_at":"2026-07-07T00:02:29.000757Z","submitted_at":"2026-05-31T16:18:25Z","title":"Multi-Agent DRL for QoS and Energy Optimization in RIS-Enabled Open-RAN Industrial 6G TN/NTN Networks","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-06-30T11:22:58.667118Z"},"links":{"citing_paper":"/paper/2606.28339"},"observation_digest":"sha256:574378b24fdd1710f16ff049ccef78c59d0ac1166da46a387e625f70f5a91f21","observation_id":"95bde11b-64bf-4782-a801-a86830168997","resolution":{"observed_at":"2026-07-09T10:36:10.769631Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T10:36:10.765927Z","title":"A survey of intelligent network slicing management for industrial iot: Integrated approaches for smart transportation, smart energy, and smart factory,","venue":null,"work_id":"d6be1363-7b46-48fc-827a-bdab6c3f9c6f","year":2022},"citing_paper":{"arxiv_id":"2606.28339","last_updated":"2026-05-31T16:18:25Z","snapshot_observed_at":"2026-07-07T00:02:29.000757Z","submitted_at":"2026-05-31T16:18:25Z","title":"Multi-Agent DRL for QoS and Energy Optimization in RIS-Enabled Open-RAN Industrial 6G TN/NTN Networks","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-06-30T11:22:58.667118Z"},"links":{"citing_paper":"/paper/2606.28339"},"observation_digest":"sha256:2ba9d3dd10564b832e6f447f522cd9f46eb18ae6a4ee6a94e540ed70055d921f","observation_id":"efffd2b1-54a3-40d8-8cc1-7f2c6757bb4f","resolution":{"observed_at":"2026-07-09T10:36:10.767727Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T10:36:10.773860Z","title":"Empowering traffic steering in 6G Open RAN with deep reinforcement learning,","venue":null,"work_id":"31c82f03-dd12-463b-b6a2-024ee4e08954","year":2024},"citing_paper":{"arxiv_id":"2606.28339","last_updated":"2026-05-31T16:18:25Z","snapshot_observed_at":"2026-07-07T00:02:29.000757Z","submitted_at":"2026-05-31T16:18:25Z","title":"Multi-Agent DRL for QoS and Energy Optimization in RIS-Enabled Open-RAN Industrial 6G TN/NTN Networks","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-06-30T11:22:58.667118Z"},"links":{"citing_paper":"/paper/2606.28339"},"observation_digest":"sha256:484ddb2cc2fa555485def8967190268373c767dd0bef77c0c4d8a104178038ab","observation_id":"ba8334a4-99a6-41ec-88ea-8767a4d1d5a9","resolution":{"observed_at":"2026-07-09T10:36:10.775251Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T10:36:10.775842Z","title":"Emerging technologies for 6G non-terrestrial-networks: From academia to industrial applications,","venue":null,"work_id":"599fc9fc-5ac6-47d6-b2b5-0531a2b888b3","year":2024},"citing_paper":{"arxiv_id":"2606.28339","last_updated":"2026-05-31T16:18:25Z","snapshot_observed_at":"2026-07-07T00:02:29.000757Z","submitted_at":"2026-05-31T16:18:25Z","title":"Multi-Agent DRL for QoS and Energy Optimization in RIS-Enabled Open-RAN Industrial 6G TN/NTN Networks","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-06-30T11:22:58.667118Z"},"links":{"citing_paper":"/paper/2606.28339"},"observation_digest":"sha256:42e08bb4bb697df7a7d8c67b76f769bf6404e655b96bec51d159e5e48f2fac3e","observation_id":"2eb32728-0bb2-46c3-811c-5f9dc40468d4","resolution":{"observed_at":"2026-07-09T10:36:10.777442Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T10:36:10.763677Z","title":"Multi-UA V Multi-RIS QoS-Aware Aerial Communication Systems Using DRL and PSO,","venue":null,"work_id":"3ab50d0d-a492-42af-aadd-d9a48140a812","year":2024},"citing_paper":{"arxiv_id":"2606.28339","last_updated":"2026-05-31T16:18:25Z","snapshot_observed_at":"2026-07-07T00:02:29.000757Z","submitted_at":"2026-05-31T16:18:25Z","title":"Multi-Agent DRL for QoS and Energy Optimization in RIS-Enabled Open-RAN Industrial 6G TN/NTN Networks","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-06-30T11:22:58.667118Z"},"links":{"citing_paper":"/paper/2606.28339"},"observation_digest":"sha256:1a6f4b32fd7df742a668430085ae31bd605a6afd17f891431a34a11c84a8be41","observation_id":"b6da969d-02b3-4385-b0c5-38206ecf58df","resolution":{"observed_at":"2026-07-09T10:36:10.765338Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T10:36:10.786491Z","title":"Guest editorial xURLLC in 6G: Next generation ultra-reliable and low-latency communications,","venue":null,"work_id":"dffa3325-9abf-410b-b193-db83c1e62ae9","year":1963},"citing_paper":{"arxiv_id":"2606.28339","last_updated":"2026-05-31T16:18:25Z","snapshot_observed_at":"2026-07-07T00:02:29.000757Z","submitted_at":"2026-05-31T16:18:25Z","title":"Multi-Agent DRL for QoS and Energy Optimization in RIS-Enabled Open-RAN Industrial 6G TN/NTN Networks","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-06-30T11:22:58.667118Z"},"links":{"citing_paper":"/paper/2606.28339"},"observation_digest":"sha256:b4ef5631a6f0a78ed07155b2ed672f8f406e25711acbe7661c2964acff425341","observation_id":"80b6fd89-4dd8-4ae1-805f-c833aae839df","resolution":{"observed_at":"2026-07-09T10:36:10.787697Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T10:36:10.788618Z","title":"RIS-Enabled UA V Swarm Optimization Framework for Energy Harvesting and Data Collection in Post-Disaster Recovery Management,","venue":null,"work_id":"cfb33f9b-5cc6-4980-95eb-d0deb6826bbd","year":2025},"citing_paper":{"arxiv_id":"2606.28339","last_updated":"2026-05-31T16:18:25Z","snapshot_observed_at":"2026-07-07T00:02:29.000757Z","submitted_at":"2026-05-31T16:18:25Z","title":"Multi-Agent DRL for QoS and Energy Optimization in RIS-Enabled Open-RAN Industrial 6G TN/NTN Networks","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-06-30T11:22:58.667118Z"},"links":{"citing_paper":"/paper/2606.28339"},"observation_digest":"sha256:24ad31d9624b904e3a577ade96b56112716dfd5fa86b4e784748220a751cc97f","observation_id":"ddeb4cf3-e610-462e-ab66-08d6b46630eb","resolution":{"observed_at":"2026-07-09T10:36:10.789880Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T10:36:10.784739Z","title":"AoI-Aware Intelligent Platform for Energy and Rate Management in Multi-UA V Multi-RIS System,","venue":null,"work_id":"bbc7011b-eafb-4c53-9308-65d1240e4f4e","year":2025},"citing_paper":{"arxiv_id":"2606.28339","last_updated":"2026-05-31T16:18:25Z","snapshot_observed_at":"2026-07-07T00:02:29.000757Z","submitted_at":"2026-05-31T16:18:25Z","title":"Multi-Agent DRL for QoS and Energy Optimization in RIS-Enabled Open-RAN Industrial 6G TN/NTN Networks","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-06-30T11:22:58.667118Z"},"links":{"citing_paper":"/paper/2606.28339"},"observation_digest":"sha256:1f049790eb1dab23f3e5951ebff8cca1022c7c02f9f8655b7c396fddf7392df0","observation_id":"ae4b64be-e8aa-4278-a8db-36ba44983eb5","resolution":{"observed_at":"2026-07-09T10:36:10.785995Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T10:36:10.757323Z","title":"Reconfigurable intelligent surfaces for 6g non- terrestrial networks: Assisting connectivity from the sky,","venue":null,"work_id":"77f039c3-131c-4378-b4e8-eda8503fd3cb","year":2024},"citing_paper":{"arxiv_id":"2606.28339","last_updated":"2026-05-31T16:18:25Z","snapshot_observed_at":"2026-07-07T00:02:29.000757Z","submitted_at":"2026-05-31T16:18:25Z","title":"Multi-Agent DRL for QoS and Energy Optimization in RIS-Enabled Open-RAN Industrial 6G TN/NTN Networks","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-06-30T11:22:58.667118Z"},"links":{"citing_paper":"/paper/2606.28339"},"observation_digest":"sha256:88c82251204fa76ddd2a330249a4fb5e8205133962a94e9a3d7bb73cd9e20f7b","observation_id":"2acc884f-3b7f-41f6-8022-94f3e47125b7","resolution":{"observed_at":"2026-07-09T10:36:10.758497Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T10:36:10.759459Z","title":"Multi-Agent Meta Reinforcement Learning for Reliable and Low-Latency Distributed Inference in Resource-Constrained UA V Swarms,","venue":null,"work_id":"3dae651b-1529-473a-9002-d55e4601b965","year":2025},"citing_paper":{"arxiv_id":"2606.28339","last_updated":"2026-05-31T16:18:25Z","snapshot_observed_at":"2026-07-07T00:02:29.000757Z","submitted_at":"2026-05-31T16:18:25Z","title":"Multi-Agent DRL for QoS and Energy Optimization in RIS-Enabled Open-RAN Industrial 6G TN/NTN Networks","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-06-30T11:22:58.667118Z"},"links":{"citing_paper":"/paper/2606.28339"},"observation_digest":"sha256:3c43e3e510dd199c8edeba78bf90bf0dff5ef9c3e5ad8bcb179a93fe13c3e8dd","observation_id":"086d01d4-1b6a-40eb-85e0-082c8518a3b7","resolution":{"observed_at":"2026-07-09T10:36:10.760862Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T10:36:10.782953Z","title":"Ris- assisted physical-layer key generation for d2d communications with correlated and imperfect channels,","venue":null,"work_id":"6986cbee-e77b-4ae9-a61e-5e681d1de533","year":2025},"citing_paper":{"arxiv_id":"2606.28339","last_updated":"2026-05-31T16:18:25Z","snapshot_observed_at":"2026-07-07T00:02:29.000757Z","submitted_at":"2026-05-31T16:18:25Z","title":"Multi-Agent DRL for QoS and Energy Optimization in RIS-Enabled Open-RAN Industrial 6G TN/NTN Networks","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-06-30T11:22:58.667118Z"},"links":{"citing_paper":"/paper/2606.28339"},"observation_digest":"sha256:03ee10a021539d481dd5e9d5efc714e2b2742014fa5dbd4e644764f3d818e3c7","observation_id":"844c1056-822a-479f-aa6c-73099a2437cd","resolution":{"observed_at":"2026-07-09T10:36:10.784187Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T10:36:10.772132Z","title":"Distributed and secure spectrum sharing for 5g and 6g networks,","venue":null,"work_id":"610274af-f310-4206-90da-1511b8ede058","year":2024},"citing_paper":{"arxiv_id":"2606.28339","last_updated":"2026-05-31T16:18:25Z","snapshot_observed_at":"2026-07-07T00:02:29.000757Z","submitted_at":"2026-05-31T16:18:25Z","title":"Multi-Agent DRL for QoS and Energy Optimization in RIS-Enabled Open-RAN Industrial 6G TN/NTN Networks","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-06-30T11:22:58.667118Z"},"links":{"citing_paper":"/paper/2606.28339"},"observation_digest":"sha256:a49f49226f45cc612eedc75ddad721e199638339d80954b4b99fee386a1da24a","observation_id":"ab684d95-5bf6-4570-987b-502d212e93c5","resolution":{"observed_at":"2026-07-09T10:36:10.773323Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T10:36:10.778040Z","title":"DRL- Based Joint Resource Allocation and Platoon Control Optimization for UA V-Hosted Platoon Digital Twin,","venue":null,"work_id":"85d207dc-e15a-44ae-a57b-9fada77d0635","year":2024},"citing_paper":{"arxiv_id":"2606.28339","last_updated":"2026-05-31T16:18:25Z","snapshot_observed_at":"2026-07-07T00:02:29.000757Z","submitted_at":"2026-05-31T16:18:25Z","title":"Multi-Agent DRL for QoS and Energy Optimization in RIS-Enabled Open-RAN Industrial 6G TN/NTN Networks","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-06-30T11:22:58.667118Z"},"links":{"citing_paper":"/paper/2606.28339"},"observation_digest":"sha256:e97cd56b13ef00403e78f76864279f8cbe425074dbfb900a126a07852f0f580b","observation_id":"eceed672-ba49-48f3-9f47-f62657a9510f","resolution":{"observed_at":"2026-07-09T10:36:10.782323Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T10:36:10.770204Z","title":"Reinforcement learning in multiple-uav networks: Deployment and movement design,","venue":null,"work_id":"545071bf-008c-4c89-8caf-9e8f8bfd843d","year":2019},"citing_paper":{"arxiv_id":"2606.28339","last_updated":"2026-05-31T16:18:25Z","snapshot_observed_at":"2026-07-07T00:02:29.000757Z","submitted_at":"2026-05-31T16:18:25Z","title":"Multi-Agent DRL for QoS and Energy Optimization in RIS-Enabled Open-RAN Industrial 6G TN/NTN Networks","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-06-30T11:22:58.667118Z"},"links":{"citing_paper":"/paper/2606.28339"},"observation_digest":"sha256:f41c0c594c0fef2f2be87a42c6d11d03cdeff353985263dc7c62f83d7db61192","observation_id":"312b99f4-70a7-417e-94f2-23adcae662f0","resolution":{"observed_at":"2026-07-09T10:36:10.771590Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T10:36:10.761423Z","title":"Two- tier resource allocation for multitenant network slicing: A federated deep reinforcement learning approach,","venue":null,"work_id":"90961d1a-63ff-414a-b9ac-995fd4b49070","year":2023},"citing_paper":{"arxiv_id":"2606.28339","last_updated":"2026-05-31T16:18:25Z","snapshot_observed_at":"2026-07-07T00:02:29.000757Z","submitted_at":"2026-05-31T16:18:25Z","title":"Multi-Agent DRL for QoS and Energy Optimization in RIS-Enabled Open-RAN Industrial 6G TN/NTN Networks","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-06-30T11:22:58.667118Z"},"links":{"citing_paper":"/paper/2606.28339"},"observation_digest":"sha256:07ce88c69327700257d744a2ba0a69c9e6f0d1605bc721c6238f6c976c4b6c11","observation_id":"8d6d04b3-aa00-4bb4-aaa9-f63c4f095ead","resolution":{"observed_at":"2026-07-09T10:36:10.762704Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2606.28339","last_updated":"2026-05-31T16:18:25Z","latest_version":1,"primary_category":"cs.NI","snapshot_observed_at":"2026-07-07T00:02:29.000757Z","submitted_at":"2026-05-31T16:18:25Z","title":"Multi-Agent DRL for QoS and Energy Optimization in RIS-Enabled Open-RAN Industrial 6G TN/NTN Networks"},"reference_resolution":{"displayed":15,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":15},"total_outbound_references":15},"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":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"thesis":"As of 22 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2606.28339."}