{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:LPXY4E3UZY7G357Z5I7AWLDMQK","short_pith_number":"pith:LPXY4E3U","schema_version":"1.0","canonical_sha256":"5bef8e1374ce3e6df7f9ea3e0b2c6c82bcf944d103465f5035ad2db4cd8fe102","source":{"kind":"arxiv","id":"2505.04551","version":1},"attestation_state":"computed","paper":{"title":"Runtime Advocates: A Persona-Driven Framework for Requirements@Runtime Decision Support","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.HC","cs.MA"],"primary_cat":"cs.SE","authors_text":"Demetrius Hernandez, Jane Cleland-Huang","submitted_at":"2025-05-07T16:31:38Z","abstract_excerpt":"Complex systems, such as small Uncrewed Aerial Systems (sUAS) swarms dispatched for emergency response, often require dynamic reconfiguration at runtime under the supervision of human operators. This introduces human-on-the-loop requirements, where evolving needs shape ongoing system functionality and behaviors. While traditional personas support upfront, static requirements elicitation, we propose a persona-based advocate framework for runtime requirements engineering to provide ethically informed, safety-driven, and regulatory-aware decision support. Our approach extends standard personas in"},"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":"2505.04551","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2025-05-07T16:31:38Z","cross_cats_sorted":["cs.HC","cs.MA"],"title_canon_sha256":"b91427966bff086c500ce6c092d11b1577068e4e21296a0afeb22e1fe9191806","abstract_canon_sha256":"d0601050ff4f978b0a15db5cc58a4032b937efb839754d09de4981bdc8d2b5a3"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:59:53.718975Z","signature_b64":"RE9HV1TJk76biRFITnlere8KYbnd+9w9i3Qwe3rBZ68IkSkITmMaHpDdprCtdF4z2isObz+4mDHvyottLig+CQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5bef8e1374ce3e6df7f9ea3e0b2c6c82bcf944d103465f5035ad2db4cd8fe102","last_reissued_at":"2026-07-05T10:59:53.718554Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:59:53.718554Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Runtime Advocates: A Persona-Driven Framework for Requirements@Runtime Decision Support","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.HC","cs.MA"],"primary_cat":"cs.SE","authors_text":"Demetrius Hernandez, Jane Cleland-Huang","submitted_at":"2025-05-07T16:31:38Z","abstract_excerpt":"Complex systems, such as small Uncrewed Aerial Systems (sUAS) swarms dispatched for emergency response, often require dynamic reconfiguration at runtime under the supervision of human operators. This introduces human-on-the-loop requirements, where evolving needs shape ongoing system functionality and behaviors. While traditional personas support upfront, static requirements elicitation, we propose a persona-based advocate framework for runtime requirements engineering to provide ethically informed, safety-driven, and regulatory-aware decision support. Our approach extends standard personas in"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.04551","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/2505.04551/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":"2505.04551","created_at":"2026-07-05T10:59:53.718611+00:00"},{"alias_kind":"arxiv_version","alias_value":"2505.04551v1","created_at":"2026-07-05T10:59:53.718611+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.04551","created_at":"2026-07-05T10:59:53.718611+00:00"},{"alias_kind":"pith_short_12","alias_value":"LPXY4E3UZY7G","created_at":"2026-07-05T10:59:53.718611+00:00"},{"alias_kind":"pith_short_16","alias_value":"LPXY4E3UZY7G357Z","created_at":"2026-07-05T10:59:53.718611+00:00"},{"alias_kind":"pith_short_8","alias_value":"LPXY4E3U","created_at":"2026-07-05T10:59:53.718611+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2505.23576","citing_title":"Cognitive Guardrails for Open-World Decision Making in Autonomous Drone Swarms","ref_index":19,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/LPXY4E3UZY7G357Z5I7AWLDMQK","json":"https://pith.science/pith/LPXY4E3UZY7G357Z5I7AWLDMQK.json","graph_json":"https://pith.science/api/pith-number/LPXY4E3UZY7G357Z5I7AWLDMQK/graph.json","events_json":"https://pith.science/api/pith-number/LPXY4E3UZY7G357Z5I7AWLDMQK/events.json","paper":"https://pith.science/paper/LPXY4E3U"},"agent_actions":{"view_html":"https://pith.science/pith/LPXY4E3UZY7G357Z5I7AWLDMQK","download_json":"https://pith.science/pith/LPXY4E3UZY7G357Z5I7AWLDMQK.json","view_paper":"https://pith.science/paper/LPXY4E3U","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2505.04551&json=true","fetch_graph":"https://pith.science/api/pith-number/LPXY4E3UZY7G357Z5I7AWLDMQK/graph.json","fetch_events":"https://pith.science/api/pith-number/LPXY4E3UZY7G357Z5I7AWLDMQK/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/LPXY4E3UZY7G357Z5I7AWLDMQK/action/timestamp_anchor","attest_storage":"https://pith.science/pith/LPXY4E3UZY7G357Z5I7AWLDMQK/action/storage_attestation","attest_author":"https://pith.science/pith/LPXY4E3UZY7G357Z5I7AWLDMQK/action/author_attestation","sign_citation":"https://pith.science/pith/LPXY4E3UZY7G357Z5I7AWLDMQK/action/citation_signature","submit_replication":"https://pith.science/pith/LPXY4E3UZY7G357Z5I7AWLDMQK/action/replication_record"}},"created_at":"2026-07-05T10:59:53.718611+00:00","updated_at":"2026-07-05T10:59:53.718611+00:00"}