{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:RKOMCS6H3KGBE2LD3SOKGIYWFY","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":"a31759b9184386b6eeacdb19e1b710bf51a73bdd731ab9511318edbbf18ac42e","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2024-04-19T01:58:24Z","title_canon_sha256":"ed761876db24d2965dc6c10979b426aad78989c16519abdddf3a054e239cf60b"},"schema_version":"1.0","source":{"id":"2404.12576","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.12576","created_at":"2026-07-05T08:09:55Z"},{"alias_kind":"arxiv_version","alias_value":"2404.12576v1","created_at":"2026-07-05T08:09:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.12576","created_at":"2026-07-05T08:09:55Z"},{"alias_kind":"pith_short_12","alias_value":"RKOMCS6H3KGB","created_at":"2026-07-05T08:09:55Z"},{"alias_kind":"pith_short_16","alias_value":"RKOMCS6H3KGBE2LD","created_at":"2026-07-05T08:09:55Z"},{"alias_kind":"pith_short_8","alias_value":"RKOMCS6H","created_at":"2026-07-05T08:09:55Z"}],"graph_snapshots":[{"event_id":"sha256:58c9a22526ed1b9422e43e6e495d4771c86042367e6fdb41df920bd9079e9250","target":"graph","created_at":"2026-07-05T08:09:55Z","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/2404.12576/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Language models that can learn a task at inference time, called in-context learning (ICL), show increasing promise in natural language inference tasks. In ICL, a model user constructs a prompt to describe a task with a natural language instruction and zero or more examples, called demonstrations. The prompt is then input to the language model to generate a completion. In this paper, we apply ICL to the design and evaluation of satisfaction arguments, which describe how a requirement is satisfied by a system specification and associated domain knowledge. The approach builds on three prompt desi","authors_text":"Sara Haghighi, Sarah Santos, Sepideh Ghanavati, Thomas Norton, Travis Breaux","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2024-04-19T01:58:24Z","title":"Requirements Satisfiability with In-Context Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.12576","kind":"arxiv","version":1},"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":"sha256:382743db6bf7e031b5296534a0cc1983057b26eef6affb99b6b3ff4643496fcc","target":"record","created_at":"2026-07-05T08:09:55Z","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":"a31759b9184386b6eeacdb19e1b710bf51a73bdd731ab9511318edbbf18ac42e","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2024-04-19T01:58:24Z","title_canon_sha256":"ed761876db24d2965dc6c10979b426aad78989c16519abdddf3a054e239cf60b"},"schema_version":"1.0","source":{"id":"2404.12576","kind":"arxiv","version":1}},"canonical_sha256":"8a9cc14bc7da8c126963dc9ca323162e116384eb000d2cbca0e93c22500c97c2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8a9cc14bc7da8c126963dc9ca323162e116384eb000d2cbca0e93c22500c97c2","first_computed_at":"2026-07-05T08:09:55.510547Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:09:55.510547Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ISn8XMku42XQzhaB9vSiCVlQSU3SqU/Bt7/q6cY8vOeivEBS8PezGA3IUzDOk+aWWQ+BC78Tj99FPOUtf8q9AQ==","signature_status":"signed_v1","signed_at":"2026-07-05T08:09:55.510924Z","signed_message":"canonical_sha256_bytes"},"source_id":"2404.12576","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:382743db6bf7e031b5296534a0cc1983057b26eef6affb99b6b3ff4643496fcc","sha256:58c9a22526ed1b9422e43e6e495d4771c86042367e6fdb41df920bd9079e9250"],"state_sha256":"a38e79fbc3b96728e3b78843fdf98263cd4b622fc603635c660b33e5252929eb"}