{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:ZVWUCL3ZJYRLVTO7SCLPY3JQHF","short_pith_number":"pith:ZVWUCL3Z","schema_version":"1.0","canonical_sha256":"cd6d412f794e22bacddf9096fc6d303959241e7d132f36ffd4c050318f915a8a","source":{"kind":"arxiv","id":"2606.03664","version":1},"attestation_state":"computed","paper":{"title":"AUGUSTE: Online-Learning dApp for Predictive URLLC Scheduling","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.NI","authors_text":"Koichiro Furueda, Maxime Elkael, Michele Polese, Tommaso Melodia, Yunseong Lee","submitted_at":"2026-06-02T13:50:22Z","abstract_excerpt":"Ultra Reliable and Low Latency Communications (URLLC) was one of the main motivations behind 5G, with 3GPP advertising 1-10 ms latency targets for applications such as industrial automation, Vehicle-To-Everything (V2X), tactical edge networking, and unmanned-system control. Years on, real 5G Time Division Duplexing (TDD) networks still show median Uplink (UL) round-trip times in the 50-70 ms range, largely because of the Scheduling Request (SR) procedure that a User Equipment (UE) must complete before transmitting UL data. Existing remedies, primarily Configured Grant (CG) scheduling, only eli"},"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":"2606.03664","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NI","submitted_at":"2026-06-02T13:50:22Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"d68cf4c0f25c67b14661d4aae36ccb1c6d08f5bdefb935700d1abcb93640b835","abstract_canon_sha256":"a55a0c044ad37b49aa8e2f2f9031203d8daea56f11a96d43d350343702f14921"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-03T01:06:03.879149Z","signature_b64":"Mjp4H6qD6d729NTGjd3qm3fELVWrdGpB5MT7qHb3w+yJ47UbUpdTJt6Cwktm8Bxg8gblLXkfFmtFv9p/Z2zyDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"cd6d412f794e22bacddf9096fc6d303959241e7d132f36ffd4c050318f915a8a","last_reissued_at":"2026-06-03T01:06:03.878727Z","signature_status":"signed_v1","first_computed_at":"2026-06-03T01:06:03.878727Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"AUGUSTE: Online-Learning dApp for Predictive URLLC Scheduling","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.NI","authors_text":"Koichiro Furueda, Maxime Elkael, Michele Polese, Tommaso Melodia, Yunseong Lee","submitted_at":"2026-06-02T13:50:22Z","abstract_excerpt":"Ultra Reliable and Low Latency Communications (URLLC) was one of the main motivations behind 5G, with 3GPP advertising 1-10 ms latency targets for applications such as industrial automation, Vehicle-To-Everything (V2X), tactical edge networking, and unmanned-system control. Years on, real 5G Time Division Duplexing (TDD) networks still show median Uplink (UL) round-trip times in the 50-70 ms range, largely because of the Scheduling Request (SR) procedure that a User Equipment (UE) must complete before transmitting UL data. Existing remedies, primarily Configured Grant (CG) scheduling, only eli"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.03664","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/2606.03664/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":"2606.03664","created_at":"2026-06-03T01:06:03.878781+00:00"},{"alias_kind":"arxiv_version","alias_value":"2606.03664v1","created_at":"2026-06-03T01:06:03.878781+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.03664","created_at":"2026-06-03T01:06:03.878781+00:00"},{"alias_kind":"pith_short_12","alias_value":"ZVWUCL3ZJYRL","created_at":"2026-06-03T01:06:03.878781+00:00"},{"alias_kind":"pith_short_16","alias_value":"ZVWUCL3ZJYRLVTO7","created_at":"2026-06-03T01:06:03.878781+00:00"},{"alias_kind":"pith_short_8","alias_value":"ZVWUCL3Z","created_at":"2026-06-03T01:06:03.878781+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/ZVWUCL3ZJYRLVTO7SCLPY3JQHF","json":"https://pith.science/pith/ZVWUCL3ZJYRLVTO7SCLPY3JQHF.json","graph_json":"https://pith.science/api/pith-number/ZVWUCL3ZJYRLVTO7SCLPY3JQHF/graph.json","events_json":"https://pith.science/api/pith-number/ZVWUCL3ZJYRLVTO7SCLPY3JQHF/events.json","paper":"https://pith.science/paper/ZVWUCL3Z"},"agent_actions":{"view_html":"https://pith.science/pith/ZVWUCL3ZJYRLVTO7SCLPY3JQHF","download_json":"https://pith.science/pith/ZVWUCL3ZJYRLVTO7SCLPY3JQHF.json","view_paper":"https://pith.science/paper/ZVWUCL3Z","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2606.03664&json=true","fetch_graph":"https://pith.science/api/pith-number/ZVWUCL3ZJYRLVTO7SCLPY3JQHF/graph.json","fetch_events":"https://pith.science/api/pith-number/ZVWUCL3ZJYRLVTO7SCLPY3JQHF/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/ZVWUCL3ZJYRLVTO7SCLPY3JQHF/action/timestamp_anchor","attest_storage":"https://pith.science/pith/ZVWUCL3ZJYRLVTO7SCLPY3JQHF/action/storage_attestation","attest_author":"https://pith.science/pith/ZVWUCL3ZJYRLVTO7SCLPY3JQHF/action/author_attestation","sign_citation":"https://pith.science/pith/ZVWUCL3ZJYRLVTO7SCLPY3JQHF/action/citation_signature","submit_replication":"https://pith.science/pith/ZVWUCL3ZJYRLVTO7SCLPY3JQHF/action/replication_record"}},"created_at":"2026-06-03T01:06:03.878781+00:00","updated_at":"2026-06-03T01:06:03.878781+00:00"}