{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:NJX4DOZNNFXV5VMOAUTL6XDPMY","short_pith_number":"pith:NJX4DOZN","schema_version":"1.0","canonical_sha256":"6a6fc1bb2d696f5ed58e0526bf5c6f66391e0da8afe8ff97a8e194f771a5bec8","source":{"kind":"arxiv","id":"2307.09061","version":1},"attestation_state":"computed","paper":{"title":"A Hybrid Optimization and Deep RL Approach for Resource Allocation in Semi-GF NOMA Networks","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"eess.SP","authors_text":"Duc-Dung Tran, Symeon Chatzinotas, Ti Ti Nguyen, Vu Nguyen Ha","submitted_at":"2023-07-18T08:25:28Z","abstract_excerpt":"Semi-grant-free non-orthogonal multiple access (semi-GF NOMA) has emerged as a promising technology for the fifth-generation new radio (5G-NR) networks supporting the coexistence of a large number of random connections with various quality of service requirements. However, implementing a semi-GF NOMA mechanism in 5G-NR networks with heterogeneous services has raised several resource management problems relating to unpredictable interference caused by the GF access strategy. To cope with this challenge, the paper develops a novel hybrid optimization and multi-agent deep (HOMAD) reinforcement le"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2307.09061","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.SP","submitted_at":"2023-07-18T08:25:28Z","cross_cats_sorted":[],"title_canon_sha256":"e3832b67b40633bbce28671d0ea84e6b620bc42cc7bd333f64fbafe040b6a4cc","abstract_canon_sha256":"ed3dfad315d5783f9accb126e67f532d3fb00fc2057e5bd48c02cef81e6d217c"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:31:38.728602Z","signature_b64":"LW4sADDWqr8IN8LXFKiRbwSTvLUjWP5rIzgkiSIYkyvvwId6siE4Ew09mhs3kYcDvA93XsWeC/M8Go7cHvQbBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6a6fc1bb2d696f5ed58e0526bf5c6f66391e0da8afe8ff97a8e194f771a5bec8","last_reissued_at":"2026-07-05T06:31:38.728085Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:31:38.728085Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"A Hybrid Optimization and Deep RL Approach for Resource Allocation in Semi-GF NOMA Networks","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"eess.SP","authors_text":"Duc-Dung Tran, Symeon Chatzinotas, Ti Ti Nguyen, Vu Nguyen Ha","submitted_at":"2023-07-18T08:25:28Z","abstract_excerpt":"Semi-grant-free non-orthogonal multiple access (semi-GF NOMA) has emerged as a promising technology for the fifth-generation new radio (5G-NR) networks supporting the coexistence of a large number of random connections with various quality of service requirements. However, implementing a semi-GF NOMA mechanism in 5G-NR networks with heterogeneous services has raised several resource management problems relating to unpredictable interference caused by the GF access strategy. To cope with this challenge, the paper develops a novel hybrid optimization and multi-agent deep (HOMAD) reinforcement le"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2307.09061","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2307.09061/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"2307.09061","created_at":"2026-07-05T06:31:38.728151+00:00"},{"alias_kind":"arxiv_version","alias_value":"2307.09061v1","created_at":"2026-07-05T06:31:38.728151+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2307.09061","created_at":"2026-07-05T06:31:38.728151+00:00"},{"alias_kind":"pith_short_12","alias_value":"NJX4DOZNNFXV","created_at":"2026-07-05T06:31:38.728151+00:00"},{"alias_kind":"pith_short_16","alias_value":"NJX4DOZNNFXV5VMO","created_at":"2026-07-05T06:31:38.728151+00:00"},{"alias_kind":"pith_short_8","alias_value":"NJX4DOZN","created_at":"2026-07-05T06:31:38.728151+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/NJX4DOZNNFXV5VMOAUTL6XDPMY","json":"https://pith.science/pith/NJX4DOZNNFXV5VMOAUTL6XDPMY.json","graph_json":"https://pith.science/api/pith-number/NJX4DOZNNFXV5VMOAUTL6XDPMY/graph.json","events_json":"https://pith.science/api/pith-number/NJX4DOZNNFXV5VMOAUTL6XDPMY/events.json","paper":"https://pith.science/paper/NJX4DOZN"},"agent_actions":{"view_html":"https://pith.science/pith/NJX4DOZNNFXV5VMOAUTL6XDPMY","download_json":"https://pith.science/pith/NJX4DOZNNFXV5VMOAUTL6XDPMY.json","view_paper":"https://pith.science/paper/NJX4DOZN","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2307.09061&json=true","fetch_graph":"https://pith.science/api/pith-number/NJX4DOZNNFXV5VMOAUTL6XDPMY/graph.json","fetch_events":"https://pith.science/api/pith-number/NJX4DOZNNFXV5VMOAUTL6XDPMY/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/NJX4DOZNNFXV5VMOAUTL6XDPMY/action/timestamp_anchor","attest_storage":"https://pith.science/pith/NJX4DOZNNFXV5VMOAUTL6XDPMY/action/storage_attestation","attest_author":"https://pith.science/pith/NJX4DOZNNFXV5VMOAUTL6XDPMY/action/author_attestation","sign_citation":"https://pith.science/pith/NJX4DOZNNFXV5VMOAUTL6XDPMY/action/citation_signature","submit_replication":"https://pith.science/pith/NJX4DOZNNFXV5VMOAUTL6XDPMY/action/replication_record"}},"created_at":"2026-07-05T06:31:38.728151+00:00","updated_at":"2026-07-05T06:31:38.728151+00:00"}