{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:TE7D5YGABEGEHNZDSOMM7LDKYB","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"eacc5b0463bd9244ba54219d146daa8ed3b5c1f740e357fc6854293668b1cb57","cross_cats_sorted":["cs.SE"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2025-10-08T09:12:57Z","title_canon_sha256":"4dd28c79c1ad41e390f7d48ddcd060bd41645d3e8f85c867e1660156bbd53289"},"schema_version":"1.0","source":{"id":"2510.08622","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2510.08622","created_at":"2026-06-10T01:09:44Z"},{"alias_kind":"arxiv_version","alias_value":"2510.08622v2","created_at":"2026-06-10T01:09:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2510.08622","created_at":"2026-06-10T01:09:44Z"},{"alias_kind":"pith_short_12","alias_value":"TE7D5YGABEGE","created_at":"2026-06-10T01:09:44Z"},{"alias_kind":"pith_short_16","alias_value":"TE7D5YGABEGEHNZD","created_at":"2026-06-10T01:09:44Z"},{"alias_kind":"pith_short_8","alias_value":"TE7D5YGA","created_at":"2026-06-10T01:09:44Z"}],"graph_snapshots":[{"event_id":"sha256:c186a27ef5a574573d2cb3030a784ac2f0596bb800df8d89e504dffa3c6c549f","target":"graph","created_at":"2026-06-10T01:09:44Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2510.08622/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Software requirements are derived from a variety of elicitation techniques, many of which have a conversational nature, like interviews. However, evaluating whether those derived requirements faithfully reflect the stakeholders' needs remains a challenging manual task. In this paper, we formalize the task of aligning the transcript of an interview with a collection of requirements represented as user stories. We propose two heuristic metrics for alignment, called (i) requirements faithfulness: the proportion of stories supported by the transcript, and (ii) interview coverage: the proportion of","authors_text":"Fabiano Dalpiaz, Francesco Dente, Paolo Papotti","cross_cats":["cs.SE"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2025-10-08T09:12:57Z","title":"Automated Alignment between Elicitation Interviews and Requirements"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2510.08622","kind":"arxiv","version":2},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:8708aa410eea9f82460515046d6a22b0866ac07d0b52ec9c4f135505b484d1ea","target":"record","created_at":"2026-06-10T01:09:44Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"eacc5b0463bd9244ba54219d146daa8ed3b5c1f740e357fc6854293668b1cb57","cross_cats_sorted":["cs.SE"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2025-10-08T09:12:57Z","title_canon_sha256":"4dd28c79c1ad41e390f7d48ddcd060bd41645d3e8f85c867e1660156bbd53289"},"schema_version":"1.0","source":{"id":"2510.08622","kind":"arxiv","version":2}},"canonical_sha256":"993e3ee0c0090c43b7239398cfac6ac0765f8a86576806a83f520c18cceff2bb","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"993e3ee0c0090c43b7239398cfac6ac0765f8a86576806a83f520c18cceff2bb","first_computed_at":"2026-06-10T01:09:44.912345Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-10T01:09:44.912345Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"oJN2kEGy25wrVpz8uqo82yJQw15r20bUIjHuq/a2Adgim19DFYDThDPiw7J4j2hZuPMgQoXutlJ/O25w0EoiDw==","signature_status":"signed_v1","signed_at":"2026-06-10T01:09:44.913395Z","signed_message":"canonical_sha256_bytes"},"source_id":"2510.08622","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8708aa410eea9f82460515046d6a22b0866ac07d0b52ec9c4f135505b484d1ea","sha256:c186a27ef5a574573d2cb3030a784ac2f0596bb800df8d89e504dffa3c6c549f"],"state_sha256":"787db0124c417fa73400d2bb4154905d25c3791503588d5f2f722fba33aca7d7"}