{"paper":{"title":"Beyond Per-Request QoS: Coordinating Industrial Workflows with B5G/6G Network Capabilities","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"A coordination framework lets B5G/6G networks expose sustainable QoS profiles so industrial workflows can map phases and submit demand trajectories for joint planning.","cross_cats":[],"primary_cat":"cs.NI","authors_text":"Bjoern Riemer, Hao Yu, Hemant Zope, Qize Guo, Tarik Taleb, Yan Chen","submitted_at":"2026-05-01T11:09:48Z","abstract_excerpt":"Beyond-5G (B5G) and 6G networks are expected to enable more complex industrial services, which often operate according to multi-phase workflows with phase-specific communication requirements. However, current interaction between applications and networks remains predominantly request-driven: Quality of Service (QoS) is requested at each workflow phase transition and evaluated independently, without explicit consideration of upcoming demand or network's near-term capability. This mismatch limits the ability of both sides to plan ahead, often resulting in foreseeable incompatibilities, even serv"},"claims":{"count":4,"items":[{"kind":"strongest_claim","text":"An industrial video inspection case study on a real B5G system, complemented by large-scale simulation, illustrates that such coordination can improve service continuity, reduce disruptive rejections, and increase workflow completion under heavy load.","source":"verdict.strongest_claim","status":"machine_extracted","claim_id":"C1","attestation":"unclaimed"},{"kind":"weakest_assumption","text":"That networks can accurately expose sustainable QoS profiles within a bounded planning window and that industrial workflows can be mapped to these profiles without introducing significant prediction errors or coordination overhead.","source":"verdict.weakest_assumption","status":"machine_extracted","claim_id":"C2","attestation":"unclaimed"},{"kind":"one_line_summary","text":"A capability-aware coordination framework for industrial workflows in B5G/6G networks improves service continuity and completion by having networks disclose sustainable QoS profiles for forward-looking demand planning.","source":"verdict.one_line_summary","status":"machine_extracted","claim_id":"C3","attestation":"unclaimed"},{"kind":"headline","text":"A coordination framework lets B5G/6G networks expose sustainable QoS profiles so industrial workflows can map phases and submit demand trajectories for joint planning.","source":"verdict.pith_extraction.headline","status":"machine_extracted","claim_id":"C4","attestation":"unclaimed"}],"snapshot_sha256":"0f12be5ead92db120b22e82bf302f1bfcfc10767d0a497bc44b3914e63204e07"},"source":{"id":"2605.00570","kind":"arxiv","version":2},"verdict":{"id":"6800ea24-f466-4210-bfc8-91c665c2cb64","model_set":{"reader":"grok-4.3"},"created_at":"2026-05-09T18:43:47.631231Z","strongest_claim":"An industrial video inspection case study on a real B5G system, complemented by large-scale simulation, illustrates that such coordination can improve service continuity, reduce disruptive rejections, and increase workflow completion under heavy load.","one_line_summary":"A capability-aware coordination framework for industrial workflows in B5G/6G networks improves service continuity and completion by having networks disclose sustainable QoS profiles for forward-looking demand planning.","pipeline_version":"pith-pipeline@v0.9.0","weakest_assumption":"That networks can accurately expose sustainable QoS profiles within a bounded planning window and that industrial workflows can be mapped to these profiles without introducing significant prediction errors or coordination overhead.","pith_extraction_headline":"A coordination framework lets B5G/6G networks expose sustainable QoS profiles so industrial workflows can map phases and submit demand trajectories for joint planning."},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2605.00570/integrity.json","findings":[],"available":true,"detectors_run":[{"name":"ai_meta_artifact","ran_at":"2026-05-20T19:39:33.689866Z","status":"completed","version":"1.0.0","findings_count":0},{"name":"doi_compliance","ran_at":"2026-05-19T18:02:42.842512Z","status":"completed","version":"1.0.0","findings_count":0}],"snapshot_sha256":"0f1536fe1d30ab45a46eea969a2c57509b5c2065fead256cd6478c826083616b"},"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"}