{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2016:ZWAYVXGOZFJMOX2WTY2CQQQ46K","short_pith_number":"pith:ZWAYVXGO","schema_version":"1.0","canonical_sha256":"cd818adccec952c75f569e3428421cf2b63ec2c72422948ef1f62dcd7ef8e68a","source":{"kind":"arxiv","id":"1601.07409","version":2},"attestation_state":"computed","paper":{"title":"Multi-Object Reasoning with Constrained Goal Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Chi Mai Nguyen, John Mylopoulos, Paolo Giorgini, Roberto Sebastiani","submitted_at":"2016-01-27T15:36:30Z","abstract_excerpt":"Goal models have been widely used in Computer Science to represent software requirements, business objectives, and design qualities. Existing goal modelling techniques, however, have shown limitations of expressiveness and/or tractability in coping with complex real-world problems. In this work, we exploit advances in automated reasoning technologies, notably Satisfiability and Optimization Modulo Theories (SMT/OMT), and we propose and formalize: (i) an extended modelling language for goals, namely the Constrained Goal Model (CGM), which makes explicit the notion of goal refinement and of doma"},"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":"1601.07409","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2016-01-27T15:36:30Z","cross_cats_sorted":[],"title_canon_sha256":"7b6604a586f36c07c15e34412e212ff04ae507bd5ebb7c9518ffdc1355942648","abstract_canon_sha256":"f55a7766414e02aa3c36a1f3a486b7296ce698ab941aad79420f8a4b0458c6b8"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:55:34.335516Z","signature_b64":"ZFBQL3B2YF/5DdkM7qdvtY2HlA1Rjn0vFwZcsc2LY67Z6Yi0K2g7vNJwMaQzaxHAUA5vMNFW+mBcGGf31xARAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"cd818adccec952c75f569e3428421cf2b63ec2c72422948ef1f62dcd7ef8e68a","last_reissued_at":"2026-05-18T00:55:34.334975Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:55:34.334975Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Multi-Object Reasoning with Constrained Goal Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Chi Mai Nguyen, John Mylopoulos, Paolo Giorgini, Roberto Sebastiani","submitted_at":"2016-01-27T15:36:30Z","abstract_excerpt":"Goal models have been widely used in Computer Science to represent software requirements, business objectives, and design qualities. Existing goal modelling techniques, however, have shown limitations of expressiveness and/or tractability in coping with complex real-world problems. In this work, we exploit advances in automated reasoning technologies, notably Satisfiability and Optimization Modulo Theories (SMT/OMT), and we propose and formalize: (i) an extended modelling language for goals, namely the Constrained Goal Model (CGM), which makes explicit the notion of goal refinement and of doma"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1601.07409","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":""},"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":"1601.07409","created_at":"2026-05-18T00:55:34.335057+00:00"},{"alias_kind":"arxiv_version","alias_value":"1601.07409v2","created_at":"2026-05-18T00:55:34.335057+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1601.07409","created_at":"2026-05-18T00:55:34.335057+00:00"},{"alias_kind":"pith_short_12","alias_value":"ZWAYVXGOZFJM","created_at":"2026-05-18T12:30:55.937587+00:00"},{"alias_kind":"pith_short_16","alias_value":"ZWAYVXGOZFJMOX2W","created_at":"2026-05-18T12:30:55.937587+00:00"},{"alias_kind":"pith_short_8","alias_value":"ZWAYVXGO","created_at":"2026-05-18T12:30:55.937587+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/ZWAYVXGOZFJMOX2WTY2CQQQ46K","json":"https://pith.science/pith/ZWAYVXGOZFJMOX2WTY2CQQQ46K.json","graph_json":"https://pith.science/api/pith-number/ZWAYVXGOZFJMOX2WTY2CQQQ46K/graph.json","events_json":"https://pith.science/api/pith-number/ZWAYVXGOZFJMOX2WTY2CQQQ46K/events.json","paper":"https://pith.science/paper/ZWAYVXGO"},"agent_actions":{"view_html":"https://pith.science/pith/ZWAYVXGOZFJMOX2WTY2CQQQ46K","download_json":"https://pith.science/pith/ZWAYVXGOZFJMOX2WTY2CQQQ46K.json","view_paper":"https://pith.science/paper/ZWAYVXGO","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1601.07409&json=true","fetch_graph":"https://pith.science/api/pith-number/ZWAYVXGOZFJMOX2WTY2CQQQ46K/graph.json","fetch_events":"https://pith.science/api/pith-number/ZWAYVXGOZFJMOX2WTY2CQQQ46K/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/ZWAYVXGOZFJMOX2WTY2CQQQ46K/action/timestamp_anchor","attest_storage":"https://pith.science/pith/ZWAYVXGOZFJMOX2WTY2CQQQ46K/action/storage_attestation","attest_author":"https://pith.science/pith/ZWAYVXGOZFJMOX2WTY2CQQQ46K/action/author_attestation","sign_citation":"https://pith.science/pith/ZWAYVXGOZFJMOX2WTY2CQQQ46K/action/citation_signature","submit_replication":"https://pith.science/pith/ZWAYVXGOZFJMOX2WTY2CQQQ46K/action/replication_record"}},"created_at":"2026-05-18T00:55:34.335057+00:00","updated_at":"2026-05-18T00:55:34.335057+00:00"}