{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2022:UCRYM4WURRQ3HO3ZNZK6PXDA3X","short_pith_number":"pith:UCRYM4WU","schema_version":"1.0","canonical_sha256":"a0a38672d48c61b3bb796e55e7dc60dddd015308cf38de3e29d67b12ae9d9f7a","source":{"kind":"arxiv","id":"2210.16941","version":1},"attestation_state":"computed","paper":{"title":"Hybrid Reusable Computational Analytics Workflow Management with Cloudmesh","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.DC","authors_text":"Geoffrey C. Fox, Gregor von Laszewski, J.P. Fleischer","submitted_at":"2022-10-30T20:32:01Z","abstract_excerpt":"In this paper, we summarize our effort to create and utilize a simple framework to coordinate computational analytics tasks with the help of a workflow system. Our design is based on a minimalistic approach while at the same time allowing to access computational resources offered through the owner's computer, HPC computing centers, cloud resources, and distributed systems in general. The access to this framework includes a simple GUI for monitoring and managing the workflow, a REST service, a command line interface, as well as a Python interface. The resulting framework was developed for sever"},"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":"2210.16941","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.DC","submitted_at":"2022-10-30T20:32:01Z","cross_cats_sorted":[],"title_canon_sha256":"a3295c94390915dc4e29b35df42180fcc3ca95814e9aa1f0f78dc1599affb9f1","abstract_canon_sha256":"e1b2ddbb85e442ce48a725cdf82f128c54b5e0e2e23a11ca868d66f3b1510e36"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:11:52.761087Z","signature_b64":"EpjAS0W3ydMj3Hp6LCaEC2l65+wUTtUEYNBKi8hS5m75UwZv6iARHQXnxM5Ih/ywiGgsnnOKn6RaEpWRDDINDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a0a38672d48c61b3bb796e55e7dc60dddd015308cf38de3e29d67b12ae9d9f7a","last_reissued_at":"2026-07-05T05:11:52.760683Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:11:52.760683Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Hybrid Reusable Computational Analytics Workflow Management with Cloudmesh","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.DC","authors_text":"Geoffrey C. Fox, Gregor von Laszewski, J.P. Fleischer","submitted_at":"2022-10-30T20:32:01Z","abstract_excerpt":"In this paper, we summarize our effort to create and utilize a simple framework to coordinate computational analytics tasks with the help of a workflow system. Our design is based on a minimalistic approach while at the same time allowing to access computational resources offered through the owner's computer, HPC computing centers, cloud resources, and distributed systems in general. The access to this framework includes a simple GUI for monitoring and managing the workflow, a REST service, a command line interface, as well as a Python interface. The resulting framework was developed for sever"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2210.16941","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/2210.16941/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":"2210.16941","created_at":"2026-07-05T05:11:52.760745+00:00"},{"alias_kind":"arxiv_version","alias_value":"2210.16941v1","created_at":"2026-07-05T05:11:52.760745+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2210.16941","created_at":"2026-07-05T05:11:52.760745+00:00"},{"alias_kind":"pith_short_12","alias_value":"UCRYM4WURRQ3","created_at":"2026-07-05T05:11:52.760745+00:00"},{"alias_kind":"pith_short_16","alias_value":"UCRYM4WURRQ3HO3Z","created_at":"2026-07-05T05:11:52.760745+00:00"},{"alias_kind":"pith_short_8","alias_value":"UCRYM4WU","created_at":"2026-07-05T05:11:52.760745+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2507.22294","citing_title":"Towards Experiment Execution in Support of Community Benchmark Workflows for HPC","ref_index":94,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/UCRYM4WURRQ3HO3ZNZK6PXDA3X","json":"https://pith.science/pith/UCRYM4WURRQ3HO3ZNZK6PXDA3X.json","graph_json":"https://pith.science/api/pith-number/UCRYM4WURRQ3HO3ZNZK6PXDA3X/graph.json","events_json":"https://pith.science/api/pith-number/UCRYM4WURRQ3HO3ZNZK6PXDA3X/events.json","paper":"https://pith.science/paper/UCRYM4WU"},"agent_actions":{"view_html":"https://pith.science/pith/UCRYM4WURRQ3HO3ZNZK6PXDA3X","download_json":"https://pith.science/pith/UCRYM4WURRQ3HO3ZNZK6PXDA3X.json","view_paper":"https://pith.science/paper/UCRYM4WU","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2210.16941&json=true","fetch_graph":"https://pith.science/api/pith-number/UCRYM4WURRQ3HO3ZNZK6PXDA3X/graph.json","fetch_events":"https://pith.science/api/pith-number/UCRYM4WURRQ3HO3ZNZK6PXDA3X/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/UCRYM4WURRQ3HO3ZNZK6PXDA3X/action/timestamp_anchor","attest_storage":"https://pith.science/pith/UCRYM4WURRQ3HO3ZNZK6PXDA3X/action/storage_attestation","attest_author":"https://pith.science/pith/UCRYM4WURRQ3HO3ZNZK6PXDA3X/action/author_attestation","sign_citation":"https://pith.science/pith/UCRYM4WURRQ3HO3ZNZK6PXDA3X/action/citation_signature","submit_replication":"https://pith.science/pith/UCRYM4WURRQ3HO3ZNZK6PXDA3X/action/replication_record"}},"created_at":"2026-07-05T05:11:52.760745+00:00","updated_at":"2026-07-05T05:11:52.760745+00:00"}