{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:A6OUR4UR4KHY6VBXWYLOIDSGQK","short_pith_number":"pith:A6OUR4UR","schema_version":"1.0","canonical_sha256":"079d48f291e28f8f5437b616e40e46828958c0e6d622e0984daa1c21be803d0d","source":{"kind":"arxiv","id":"1812.09026","version":1},"attestation_state":"computed","paper":{"title":"Deep Reinforcement Learning for Real-Time Optimization in NB-IoT Networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.NI","authors_text":"Arumugam Nallanathan, Jonathon A. Chambers, Nan Jiang, Yansha Deng","submitted_at":"2018-12-21T10:13:42Z","abstract_excerpt":"NarrowBand-Internet of Things (NB-IoT) is an emerging cellular-based technology that offers a range of flexible configurations for massive IoT radio access from groups of devices with heterogeneous requirements. A configuration specifies the amount of radio resource allocated to each group of devices for random access and for data transmission. Assuming no knowledge of the traffic statistics, there exists an important challenge in \"how to determine the configuration that maximizes the long-term average number of served IoT devices at each Transmission Time Interval (TTI) in an online fashion\"."},"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":"1812.09026","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NI","submitted_at":"2018-12-21T10:13:42Z","cross_cats_sorted":[],"title_canon_sha256":"11ca699dfebe88ee0e8c1186edb6de1b438bca170d7228c667827534e146eb18","abstract_canon_sha256":"531609244b6c1c8af50e877601971c37de640f020cd6e1157fbe7bf250529079"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:57:45.598065Z","signature_b64":"jdCi8uLgybHoNwqtvzL3zFtFp05GFbtb60wFX5KktP70ScqTvNGq6v26z8DP8J0X51OppsUKsTUVglRRZ/CQBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"079d48f291e28f8f5437b616e40e46828958c0e6d622e0984daa1c21be803d0d","last_reissued_at":"2026-05-17T23:57:45.597458Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:57:45.597458Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Deep Reinforcement Learning for Real-Time Optimization in NB-IoT Networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.NI","authors_text":"Arumugam Nallanathan, Jonathon A. Chambers, Nan Jiang, Yansha Deng","submitted_at":"2018-12-21T10:13:42Z","abstract_excerpt":"NarrowBand-Internet of Things (NB-IoT) is an emerging cellular-based technology that offers a range of flexible configurations for massive IoT radio access from groups of devices with heterogeneous requirements. A configuration specifies the amount of radio resource allocated to each group of devices for random access and for data transmission. Assuming no knowledge of the traffic statistics, there exists an important challenge in \"how to determine the configuration that maximizes the long-term average number of served IoT devices at each Transmission Time Interval (TTI) in an online fashion\"."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1812.09026","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":""},"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":"1812.09026","created_at":"2026-05-17T23:57:45.597537+00:00"},{"alias_kind":"arxiv_version","alias_value":"1812.09026v1","created_at":"2026-05-17T23:57:45.597537+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1812.09026","created_at":"2026-05-17T23:57:45.597537+00:00"},{"alias_kind":"pith_short_12","alias_value":"A6OUR4UR4KHY","created_at":"2026-05-18T12:32:13.499390+00:00"},{"alias_kind":"pith_short_16","alias_value":"A6OUR4UR4KHY6VBX","created_at":"2026-05-18T12:32:13.499390+00:00"},{"alias_kind":"pith_short_8","alias_value":"A6OUR4UR","created_at":"2026-05-18T12:32:13.499390+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/A6OUR4UR4KHY6VBXWYLOIDSGQK","json":"https://pith.science/pith/A6OUR4UR4KHY6VBXWYLOIDSGQK.json","graph_json":"https://pith.science/api/pith-number/A6OUR4UR4KHY6VBXWYLOIDSGQK/graph.json","events_json":"https://pith.science/api/pith-number/A6OUR4UR4KHY6VBXWYLOIDSGQK/events.json","paper":"https://pith.science/paper/A6OUR4UR"},"agent_actions":{"view_html":"https://pith.science/pith/A6OUR4UR4KHY6VBXWYLOIDSGQK","download_json":"https://pith.science/pith/A6OUR4UR4KHY6VBXWYLOIDSGQK.json","view_paper":"https://pith.science/paper/A6OUR4UR","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1812.09026&json=true","fetch_graph":"https://pith.science/api/pith-number/A6OUR4UR4KHY6VBXWYLOIDSGQK/graph.json","fetch_events":"https://pith.science/api/pith-number/A6OUR4UR4KHY6VBXWYLOIDSGQK/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/A6OUR4UR4KHY6VBXWYLOIDSGQK/action/timestamp_anchor","attest_storage":"https://pith.science/pith/A6OUR4UR4KHY6VBXWYLOIDSGQK/action/storage_attestation","attest_author":"https://pith.science/pith/A6OUR4UR4KHY6VBXWYLOIDSGQK/action/author_attestation","sign_citation":"https://pith.science/pith/A6OUR4UR4KHY6VBXWYLOIDSGQK/action/citation_signature","submit_replication":"https://pith.science/pith/A6OUR4UR4KHY6VBXWYLOIDSGQK/action/replication_record"}},"created_at":"2026-05-17T23:57:45.597537+00:00","updated_at":"2026-05-17T23:57:45.597537+00:00"}