{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:PLUK737HSL5KUL2FLU2VB6QXZN","short_pith_number":"pith:PLUK737H","schema_version":"1.0","canonical_sha256":"7ae8afefe792faaa2f455d3550fa17cb63dbc6dd14c09194bdca8f3bcfa6f778","source":{"kind":"arxiv","id":"2404.16920","version":1},"attestation_state":"computed","paper":{"title":"Structured Reinforcement Learning for Delay-Optimal Data Transmission in Dense mmWave Networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.IT","cs.LG","eess.SP","math.IT"],"primary_cat":"cs.NI","authors_text":"Guojun Xiong, Huacheng Zeng, Jian Li, Shichen Zhang, Shivendra Panwar, Shufan Wang","submitted_at":"2024-04-25T17:26:41Z","abstract_excerpt":"We study the data packet transmission problem (mmDPT) in dense cell-free millimeter wave (mmWave) networks, i.e., users sending data packet requests to access points (APs) via uplinks and APs transmitting requested data packets to users via downlinks. Our objective is to minimize the average delay in the system due to APs' limited service capacity and unreliable wireless channels between APs and users. This problem can be formulated as a restless multi-armed bandits problem with fairness constraint (RMAB-F). Since finding the optimal policy for RMAB-F is intractable, existing learning algorith"},"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":"2404.16920","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NI","submitted_at":"2024-04-25T17:26:41Z","cross_cats_sorted":["cs.IT","cs.LG","eess.SP","math.IT"],"title_canon_sha256":"86a88a98748fa49af62dd51db5e207cdc460bec37794227bdc6c0e2924e84adb","abstract_canon_sha256":"bcd55b338c4e9a417888718510a3790762584547999139b35b8318a7844ee67c"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:12:17.144472Z","signature_b64":"xF3pgWom0RTpPXICMc8eGgR2+4FNFdUQrSfgT0quEjRWpFL6PJCaHg8RrZXCmt2WZyYqeGfKGZucgMKtAkaPAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7ae8afefe792faaa2f455d3550fa17cb63dbc6dd14c09194bdca8f3bcfa6f778","last_reissued_at":"2026-07-05T08:12:17.143978Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:12:17.143978Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Structured Reinforcement Learning for Delay-Optimal Data Transmission in Dense mmWave Networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.IT","cs.LG","eess.SP","math.IT"],"primary_cat":"cs.NI","authors_text":"Guojun Xiong, Huacheng Zeng, Jian Li, Shichen Zhang, Shivendra Panwar, Shufan Wang","submitted_at":"2024-04-25T17:26:41Z","abstract_excerpt":"We study the data packet transmission problem (mmDPT) in dense cell-free millimeter wave (mmWave) networks, i.e., users sending data packet requests to access points (APs) via uplinks and APs transmitting requested data packets to users via downlinks. Our objective is to minimize the average delay in the system due to APs' limited service capacity and unreliable wireless channels between APs and users. This problem can be formulated as a restless multi-armed bandits problem with fairness constraint (RMAB-F). Since finding the optimal policy for RMAB-F is intractable, existing learning algorith"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.16920","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/2404.16920/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":"2404.16920","created_at":"2026-07-05T08:12:17.144034+00:00"},{"alias_kind":"arxiv_version","alias_value":"2404.16920v1","created_at":"2026-07-05T08:12:17.144034+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.16920","created_at":"2026-07-05T08:12:17.144034+00:00"},{"alias_kind":"pith_short_12","alias_value":"PLUK737HSL5K","created_at":"2026-07-05T08:12:17.144034+00:00"},{"alias_kind":"pith_short_16","alias_value":"PLUK737HSL5KUL2F","created_at":"2026-07-05T08:12:17.144034+00:00"},{"alias_kind":"pith_short_8","alias_value":"PLUK737H","created_at":"2026-07-05T08:12:17.144034+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/PLUK737HSL5KUL2FLU2VB6QXZN","json":"https://pith.science/pith/PLUK737HSL5KUL2FLU2VB6QXZN.json","graph_json":"https://pith.science/api/pith-number/PLUK737HSL5KUL2FLU2VB6QXZN/graph.json","events_json":"https://pith.science/api/pith-number/PLUK737HSL5KUL2FLU2VB6QXZN/events.json","paper":"https://pith.science/paper/PLUK737H"},"agent_actions":{"view_html":"https://pith.science/pith/PLUK737HSL5KUL2FLU2VB6QXZN","download_json":"https://pith.science/pith/PLUK737HSL5KUL2FLU2VB6QXZN.json","view_paper":"https://pith.science/paper/PLUK737H","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2404.16920&json=true","fetch_graph":"https://pith.science/api/pith-number/PLUK737HSL5KUL2FLU2VB6QXZN/graph.json","fetch_events":"https://pith.science/api/pith-number/PLUK737HSL5KUL2FLU2VB6QXZN/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/PLUK737HSL5KUL2FLU2VB6QXZN/action/timestamp_anchor","attest_storage":"https://pith.science/pith/PLUK737HSL5KUL2FLU2VB6QXZN/action/storage_attestation","attest_author":"https://pith.science/pith/PLUK737HSL5KUL2FLU2VB6QXZN/action/author_attestation","sign_citation":"https://pith.science/pith/PLUK737HSL5KUL2FLU2VB6QXZN/action/citation_signature","submit_replication":"https://pith.science/pith/PLUK737HSL5KUL2FLU2VB6QXZN/action/replication_record"}},"created_at":"2026-07-05T08:12:17.144034+00:00","updated_at":"2026-07-05T08:12:17.144034+00:00"}