{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:6YQDGIYLO7XAHZ3AHZGZK5BWUV","short_pith_number":"pith:6YQDGIYL","schema_version":"1.0","canonical_sha256":"f62033230b77ee03e7603e4d957436a5741e07ff4e0618f3f27c637fe122d795","source":{"kind":"arxiv","id":"2603.19431","version":2},"attestation_state":"computed","paper":{"title":"SWARM+: Scalable and Resilient Multi-Agent Consensus for Decentralized Data-Aware Workload Management","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.DC","authors_text":"Anirban Mandal, Ewa Deelman, Hamza Safri, Komal Thareja, Krishnan Raghavan","submitted_at":"2026-03-19T19:51:02Z","abstract_excerpt":"Distributed scientific workflows are increasingly executed across heterogeneous and geo-distributed computing environments, where centralized workload orchestration becomes a scalability and resilience bottleneck. This paper presents SWARM+, a decentralized workload management system that coordinates workload placement through hierarchical multi-agent consensus, reducing coordination overhead and dramatically improving scalability, while tolerating failures and dynamic membership changes. SWARM+ enables data-aware scheduling policies that incorporate resource availability, data transfer node ("},"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":"2603.19431","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2026-03-19T19:51:02Z","cross_cats_sorted":[],"title_canon_sha256":"00eeed6cce5607fc41495032ca340126c17d2f7cbd7bca9765997ec6cbcd31d3","abstract_canon_sha256":"11fa73d1e84abe9c76d93506bd538c43f9b3a43205c2fcc7fa5e833e3882782c"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-03T01:05:49.776274Z","signature_b64":"Pa+irsUV/XzB4nn2s5kJlIZPFum0zA4Ejr81oRjow7NdqswcjWD8kNrlCPCFUHt9a0zi437Z27V5BWKR1WOFCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f62033230b77ee03e7603e4d957436a5741e07ff4e0618f3f27c637fe122d795","last_reissued_at":"2026-06-03T01:05:49.775803Z","signature_status":"signed_v1","first_computed_at":"2026-06-03T01:05:49.775803Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"SWARM+: Scalable and Resilient Multi-Agent Consensus for Decentralized Data-Aware Workload Management","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.DC","authors_text":"Anirban Mandal, Ewa Deelman, Hamza Safri, Komal Thareja, Krishnan Raghavan","submitted_at":"2026-03-19T19:51:02Z","abstract_excerpt":"Distributed scientific workflows are increasingly executed across heterogeneous and geo-distributed computing environments, where centralized workload orchestration becomes a scalability and resilience bottleneck. This paper presents SWARM+, a decentralized workload management system that coordinates workload placement through hierarchical multi-agent consensus, reducing coordination overhead and dramatically improving scalability, while tolerating failures and dynamic membership changes. SWARM+ enables data-aware scheduling policies that incorporate resource availability, data transfer node ("},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2603.19431","kind":"arxiv","version":2},"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/2603.19431/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":"2603.19431","created_at":"2026-06-03T01:05:49.775860+00:00"},{"alias_kind":"arxiv_version","alias_value":"2603.19431v2","created_at":"2026-06-03T01:05:49.775860+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2603.19431","created_at":"2026-06-03T01:05:49.775860+00:00"},{"alias_kind":"pith_short_12","alias_value":"6YQDGIYLO7XA","created_at":"2026-06-03T01:05:49.775860+00:00"},{"alias_kind":"pith_short_16","alias_value":"6YQDGIYLO7XAHZ3A","created_at":"2026-06-03T01:05:49.775860+00:00"},{"alias_kind":"pith_short_8","alias_value":"6YQDGIYL","created_at":"2026-06-03T01:05:49.775860+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/6YQDGIYLO7XAHZ3AHZGZK5BWUV","json":"https://pith.science/pith/6YQDGIYLO7XAHZ3AHZGZK5BWUV.json","graph_json":"https://pith.science/api/pith-number/6YQDGIYLO7XAHZ3AHZGZK5BWUV/graph.json","events_json":"https://pith.science/api/pith-number/6YQDGIYLO7XAHZ3AHZGZK5BWUV/events.json","paper":"https://pith.science/paper/6YQDGIYL"},"agent_actions":{"view_html":"https://pith.science/pith/6YQDGIYLO7XAHZ3AHZGZK5BWUV","download_json":"https://pith.science/pith/6YQDGIYLO7XAHZ3AHZGZK5BWUV.json","view_paper":"https://pith.science/paper/6YQDGIYL","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2603.19431&json=true","fetch_graph":"https://pith.science/api/pith-number/6YQDGIYLO7XAHZ3AHZGZK5BWUV/graph.json","fetch_events":"https://pith.science/api/pith-number/6YQDGIYLO7XAHZ3AHZGZK5BWUV/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/6YQDGIYLO7XAHZ3AHZGZK5BWUV/action/timestamp_anchor","attest_storage":"https://pith.science/pith/6YQDGIYLO7XAHZ3AHZGZK5BWUV/action/storage_attestation","attest_author":"https://pith.science/pith/6YQDGIYLO7XAHZ3AHZGZK5BWUV/action/author_attestation","sign_citation":"https://pith.science/pith/6YQDGIYLO7XAHZ3AHZGZK5BWUV/action/citation_signature","submit_replication":"https://pith.science/pith/6YQDGIYLO7XAHZ3AHZGZK5BWUV/action/replication_record"}},"created_at":"2026-06-03T01:05:49.775860+00:00","updated_at":"2026-06-03T01:05:49.775860+00:00"}