{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:NKATMSB7I6XY7NWJF554SLOSQB","short_pith_number":"pith:NKATMSB7","schema_version":"1.0","canonical_sha256":"6a8136483f47af8fb6c92f7bc92dd2804e43331085a1f9be70e28ca26882b9a5","source":{"kind":"arxiv","id":"2606.27217","version":1},"attestation_state":"computed","paper":{"title":"CHAMB-GA: A Containerized HPC Scalable Microservice-Based Framework for Genetic Algorithms","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["math.OC"],"primary_cat":"cs.DC","authors_text":"Alexander Mitsos, Andrea Benigni, Felix Bonhoff, Manuel Dahmen, Thiemo Pesch","submitted_at":"2026-06-25T16:07:22Z","abstract_excerpt":"Metaheuristic-based global optimization with embedded, long-running simulations is a computationally expensive process. To support various stages of development and execution, a seamless transition from personal computers to distributed clusters is desired, enabling execution across all computational scales. However, existing tool chains are often characterized by rigidity and hardware-bound constraints, which impede scalability and the integration of complex simulations. Bridging this gap, we present a containerized HPC scalable microservice-based framework for genetic algorithms with embedde"},"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":"2606.27217","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.DC","submitted_at":"2026-06-25T16:07:22Z","cross_cats_sorted":["math.OC"],"title_canon_sha256":"41f6a520f6555c55108c3be4dd6cc4e2174a6245f32a5fb476285815bc4b936e","abstract_canon_sha256":"2e9a8da335969c548813edfe77f0d28d641445bcd63d9111b4920262626aa0fb"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-26T01:16:15.267556Z","signature_b64":"t4yWjxylr0+2wK+Jva20ioiJs9LMSc63/MEBpzAxCvWN6CPWP+L1K1vkCBfoTM65HHc6t0dxIFI4k0Ns/YOvBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6a8136483f47af8fb6c92f7bc92dd2804e43331085a1f9be70e28ca26882b9a5","last_reissued_at":"2026-06-26T01:16:15.267017Z","signature_status":"signed_v1","first_computed_at":"2026-06-26T01:16:15.267017Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"CHAMB-GA: A Containerized HPC Scalable Microservice-Based Framework for Genetic Algorithms","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["math.OC"],"primary_cat":"cs.DC","authors_text":"Alexander Mitsos, Andrea Benigni, Felix Bonhoff, Manuel Dahmen, Thiemo Pesch","submitted_at":"2026-06-25T16:07:22Z","abstract_excerpt":"Metaheuristic-based global optimization with embedded, long-running simulations is a computationally expensive process. To support various stages of development and execution, a seamless transition from personal computers to distributed clusters is desired, enabling execution across all computational scales. However, existing tool chains are often characterized by rigidity and hardware-bound constraints, which impede scalability and the integration of complex simulations. Bridging this gap, we present a containerized HPC scalable microservice-based framework for genetic algorithms with embedde"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.27217","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/2606.27217/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":"2606.27217","created_at":"2026-06-26T01:16:15.267090+00:00"},{"alias_kind":"arxiv_version","alias_value":"2606.27217v1","created_at":"2026-06-26T01:16:15.267090+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.27217","created_at":"2026-06-26T01:16:15.267090+00:00"},{"alias_kind":"pith_short_12","alias_value":"NKATMSB7I6XY","created_at":"2026-06-26T01:16:15.267090+00:00"},{"alias_kind":"pith_short_16","alias_value":"NKATMSB7I6XY7NWJ","created_at":"2026-06-26T01:16:15.267090+00:00"},{"alias_kind":"pith_short_8","alias_value":"NKATMSB7","created_at":"2026-06-26T01:16:15.267090+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/NKATMSB7I6XY7NWJF554SLOSQB","json":"https://pith.science/pith/NKATMSB7I6XY7NWJF554SLOSQB.json","graph_json":"https://pith.science/api/pith-number/NKATMSB7I6XY7NWJF554SLOSQB/graph.json","events_json":"https://pith.science/api/pith-number/NKATMSB7I6XY7NWJF554SLOSQB/events.json","paper":"https://pith.science/paper/NKATMSB7"},"agent_actions":{"view_html":"https://pith.science/pith/NKATMSB7I6XY7NWJF554SLOSQB","download_json":"https://pith.science/pith/NKATMSB7I6XY7NWJF554SLOSQB.json","view_paper":"https://pith.science/paper/NKATMSB7","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2606.27217&json=true","fetch_graph":"https://pith.science/api/pith-number/NKATMSB7I6XY7NWJF554SLOSQB/graph.json","fetch_events":"https://pith.science/api/pith-number/NKATMSB7I6XY7NWJF554SLOSQB/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/NKATMSB7I6XY7NWJF554SLOSQB/action/timestamp_anchor","attest_storage":"https://pith.science/pith/NKATMSB7I6XY7NWJF554SLOSQB/action/storage_attestation","attest_author":"https://pith.science/pith/NKATMSB7I6XY7NWJF554SLOSQB/action/author_attestation","sign_citation":"https://pith.science/pith/NKATMSB7I6XY7NWJF554SLOSQB/action/citation_signature","submit_replication":"https://pith.science/pith/NKATMSB7I6XY7NWJF554SLOSQB/action/replication_record"}},"created_at":"2026-06-26T01:16:15.267090+00:00","updated_at":"2026-06-26T01:16:15.267090+00:00"}