{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:YBDFLHI7VAXLUE5BQ3MNQC6BYZ","short_pith_number":"pith:YBDFLHI7","schema_version":"1.0","canonical_sha256":"c046559d1fa82eba13a186d8d80bc1c678fe3a7b457f135c2899afaf5c5eede1","source":{"kind":"arxiv","id":"2606.17653","version":1},"attestation_state":"computed","paper":{"title":"Predictive Configured Grant Scheduling for Deterministic Wireless Communications","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.NI","authors_text":"Baldomero Coll-Perales, Javier Gozalvez, M.Carmen Lucas-Esta\\~n, Syed Morsleen Riaz","submitted_at":"2026-06-16T08:13:58Z","abstract_excerpt":"Future wireless networks must enhance their capacity to sustain deterministic service levels and support emerging time-sensitive services in key verticals. The ability to guarantee bounded latencies heavily depends on efficient radio resource management. Configured Grant (CG) scheduling can reduce latency by pre-allocating resources, but its effectiveness and efficiency decrease under variable traffic patterns. This study presents a novel predictive CG scheduling scheme that pre-allocates resources based on traffic predictions while accounting for prediction inaccuracies. By considering these "},"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":"2606.17653","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NI","submitted_at":"2026-06-16T08:13:58Z","cross_cats_sorted":[],"title_canon_sha256":"dae95fdbb7419004502b6ad66407e644fbbd21e08099570da6e38c5448087262","abstract_canon_sha256":"90b2462e15821a7e2fdd64fb2ae5832e0d4da1a1df4395842a975f161425f178"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-19T16:10:18.337391Z","signature_b64":"VbIr8kyp2QLuhitWPLKrct36yOVU5PSoM4pUx5o0qG8RG/rgZaM+DMhwKlQsnE4aEaVGfzuu5B4oO/wofrhABQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c046559d1fa82eba13a186d8d80bc1c678fe3a7b457f135c2899afaf5c5eede1","last_reissued_at":"2026-06-19T16:10:18.337003Z","signature_status":"signed_v1","first_computed_at":"2026-06-19T16:10:18.337003Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Predictive Configured Grant Scheduling for Deterministic Wireless Communications","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.NI","authors_text":"Baldomero Coll-Perales, Javier Gozalvez, M.Carmen Lucas-Esta\\~n, Syed Morsleen Riaz","submitted_at":"2026-06-16T08:13:58Z","abstract_excerpt":"Future wireless networks must enhance their capacity to sustain deterministic service levels and support emerging time-sensitive services in key verticals. The ability to guarantee bounded latencies heavily depends on efficient radio resource management. Configured Grant (CG) scheduling can reduce latency by pre-allocating resources, but its effectiveness and efficiency decrease under variable traffic patterns. This study presents a novel predictive CG scheduling scheme that pre-allocates resources based on traffic predictions while accounting for prediction inaccuracies. By considering these "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.17653","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/2606.17653/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":"2606.17653","created_at":"2026-06-19T16:10:18.337065+00:00"},{"alias_kind":"arxiv_version","alias_value":"2606.17653v1","created_at":"2026-06-19T16:10:18.337065+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.17653","created_at":"2026-06-19T16:10:18.337065+00:00"},{"alias_kind":"pith_short_12","alias_value":"YBDFLHI7VAXL","created_at":"2026-06-19T16:10:18.337065+00:00"},{"alias_kind":"pith_short_16","alias_value":"YBDFLHI7VAXLUE5B","created_at":"2026-06-19T16:10:18.337065+00:00"},{"alias_kind":"pith_short_8","alias_value":"YBDFLHI7","created_at":"2026-06-19T16:10:18.337065+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/YBDFLHI7VAXLUE5BQ3MNQC6BYZ","json":"https://pith.science/pith/YBDFLHI7VAXLUE5BQ3MNQC6BYZ.json","graph_json":"https://pith.science/api/pith-number/YBDFLHI7VAXLUE5BQ3MNQC6BYZ/graph.json","events_json":"https://pith.science/api/pith-number/YBDFLHI7VAXLUE5BQ3MNQC6BYZ/events.json","paper":"https://pith.science/paper/YBDFLHI7"},"agent_actions":{"view_html":"https://pith.science/pith/YBDFLHI7VAXLUE5BQ3MNQC6BYZ","download_json":"https://pith.science/pith/YBDFLHI7VAXLUE5BQ3MNQC6BYZ.json","view_paper":"https://pith.science/paper/YBDFLHI7","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2606.17653&json=true","fetch_graph":"https://pith.science/api/pith-number/YBDFLHI7VAXLUE5BQ3MNQC6BYZ/graph.json","fetch_events":"https://pith.science/api/pith-number/YBDFLHI7VAXLUE5BQ3MNQC6BYZ/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/YBDFLHI7VAXLUE5BQ3MNQC6BYZ/action/timestamp_anchor","attest_storage":"https://pith.science/pith/YBDFLHI7VAXLUE5BQ3MNQC6BYZ/action/storage_attestation","attest_author":"https://pith.science/pith/YBDFLHI7VAXLUE5BQ3MNQC6BYZ/action/author_attestation","sign_citation":"https://pith.science/pith/YBDFLHI7VAXLUE5BQ3MNQC6BYZ/action/citation_signature","submit_replication":"https://pith.science/pith/YBDFLHI7VAXLUE5BQ3MNQC6BYZ/action/replication_record"}},"created_at":"2026-06-19T16:10:18.337065+00:00","updated_at":"2026-06-19T16:10:18.337065+00:00"}