{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:O75NEMYKD4XLRQ6M3WSWR5QZ6T","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"255358cbb6c18982fba03fe58dc8528a07f52512cade7d0912cb0928532b2c3a","cross_cats_sorted":["cs.LG","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NI","submitted_at":"2019-05-09T13:56:51Z","title_canon_sha256":"e77879f7aef32eafbc5f621799cb686d10c3d9cbf6615d6d88c3b03bdaf4ad23"},"schema_version":"1.0","source":{"id":"1906.00951","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1906.00951","created_at":"2026-05-17T23:44:23Z"},{"alias_kind":"arxiv_version","alias_value":"1906.00951v1","created_at":"2026-05-17T23:44:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1906.00951","created_at":"2026-05-17T23:44:23Z"},{"alias_kind":"pith_short_12","alias_value":"O75NEMYKD4XL","created_at":"2026-05-18T12:33:24Z"},{"alias_kind":"pith_short_16","alias_value":"O75NEMYKD4XLRQ6M","created_at":"2026-05-18T12:33:24Z"},{"alias_kind":"pith_short_8","alias_value":"O75NEMYK","created_at":"2026-05-18T12:33:24Z"}],"graph_snapshots":[{"event_id":"sha256:4c698b4e16b423633027fa0ef37d73d6af98977d93e67de4e4249c55f04d3f12","target":"graph","created_at":"2026-05-17T23:44:23Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"paper":{"abstract_excerpt":"Traffic prediction plays a vital role in efficient planning and usage of network resources in wireless networks. While traffic prediction in wired networks is an established field, there is a lack of research on the analysis of traffic in cellular networks, especially in a content-blind manner at the user level. Here, we shed light into this problem by designing traffic prediction tools that employ either statistical, rule-based, or deep machine learning methods. First, we present an extensive experimental evaluation of the designed tools over a real traffic dataset. Within this analysis, the ","authors_text":"Amin Azari, Gunnar Peters, Panagiotis Papapetrou, Stojan Denic","cross_cats":["cs.LG","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NI","submitted_at":"2019-05-09T13:56:51Z","title":"User Traffic Prediction for Proactive Resource Management: Learning-Powered Approaches"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1906.00951","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:f375834313eda6aa546698be765ca26ac730e12812cbe32f59fc58c534b45bac","target":"record","created_at":"2026-05-17T23:44:23Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"255358cbb6c18982fba03fe58dc8528a07f52512cade7d0912cb0928532b2c3a","cross_cats_sorted":["cs.LG","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NI","submitted_at":"2019-05-09T13:56:51Z","title_canon_sha256":"e77879f7aef32eafbc5f621799cb686d10c3d9cbf6615d6d88c3b03bdaf4ad23"},"schema_version":"1.0","source":{"id":"1906.00951","kind":"arxiv","version":1}},"canonical_sha256":"77fad2330a1f2eb8c3ccdda568f619f4d009131f8b0712a1ef8f94ab42f5d5ed","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"77fad2330a1f2eb8c3ccdda568f619f4d009131f8b0712a1ef8f94ab42f5d5ed","first_computed_at":"2026-05-17T23:44:23.421221Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:44:23.421221Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"jjzUruAEjzD/7zAyHHILGCMqZxdITgCQdHMMzIbFJ5HM4bypg2ey+avsN8ph9sV8aV9/OF9zMa/ZN4vVRLrpAA==","signature_status":"signed_v1","signed_at":"2026-05-17T23:44:23.421963Z","signed_message":"canonical_sha256_bytes"},"source_id":"1906.00951","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f375834313eda6aa546698be765ca26ac730e12812cbe32f59fc58c534b45bac","sha256:4c698b4e16b423633027fa0ef37d73d6af98977d93e67de4e4249c55f04d3f12"],"state_sha256":"362f90df4ea7e22b87609d71759249b0f3aeed0999427bbcb5fbc036ab711619"}