{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:FOXL5QZPAOVPGJU4LU5HTDIZPE","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":"9eb6fffdc08b021d43f27a80f689b47ecea7fb241e7299cae18c9fbec2c46a29","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-02-22T04:13:53Z","title_canon_sha256":"4880714a5d0b39c648363911426cb340d8680d00b38ebaa87c391117d9dee3b4"},"schema_version":"1.0","source":{"id":"2503.10642","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.10642","created_at":"2026-07-05T10:31:02Z"},{"alias_kind":"arxiv_version","alias_value":"2503.10642v1","created_at":"2026-07-05T10:31:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.10642","created_at":"2026-07-05T10:31:02Z"},{"alias_kind":"pith_short_12","alias_value":"FOXL5QZPAOVP","created_at":"2026-07-05T10:31:02Z"},{"alias_kind":"pith_short_16","alias_value":"FOXL5QZPAOVPGJU4","created_at":"2026-07-05T10:31:02Z"},{"alias_kind":"pith_short_8","alias_value":"FOXL5QZP","created_at":"2026-07-05T10:31:02Z"}],"graph_snapshots":[{"event_id":"sha256:6e9ef2519fa3124ac0c76f9e200df4511ccf4f3ecade302cff5c888d06741703","target":"graph","created_at":"2026-07-05T10:31:02Z","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/2503.10642/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"There is growing interest in utilizing large language models (LLMs) as co-pilots for combinatorial optimization and constraint programming tasks across various problems. This paper aims to advance this line of research by introducing Text2Zinc}, a cross-domain dataset for capturing optimization and satisfaction problems specified in natural language text. Our work is distinguished from previous attempts by integrating both satisfaction and optimization problems within a unified dataset using a solver-agnostic modeling language. To achieve this, we leverage MiniZinc's solver-and-paradigm-agnost","authors_text":"Akash Singirikonda, Karthik Uppuluri, Serdar Kadioglu","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-02-22T04:13:53Z","title":"Text2Zinc: A Cross-Domain Dataset for Modeling Optimization and Satisfaction Problems in MiniZinc"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.10642","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":"sha256:406d94c2e6c116a52ec7f600b693b054081040f80a189313761ab523d97c712c","target":"record","created_at":"2026-07-05T10:31:02Z","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":"9eb6fffdc08b021d43f27a80f689b47ecea7fb241e7299cae18c9fbec2c46a29","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-02-22T04:13:53Z","title_canon_sha256":"4880714a5d0b39c648363911426cb340d8680d00b38ebaa87c391117d9dee3b4"},"schema_version":"1.0","source":{"id":"2503.10642","kind":"arxiv","version":1}},"canonical_sha256":"2baebec32f03aaf3269c5d3a798d19791cf94c4bea70ee11f432a176128c5f71","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2baebec32f03aaf3269c5d3a798d19791cf94c4bea70ee11f432a176128c5f71","first_computed_at":"2026-07-05T10:31:02.751380Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:31:02.751380Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"9CiRU9K1LBLK65Tb8Hw4M0Hh7inejjASow19rd80fLMTMt0GQXeclH4SXVzDOeEV2lvF1AV3PKJPVw4Uv9k8Cg==","signature_status":"signed_v1","signed_at":"2026-07-05T10:31:02.752377Z","signed_message":"canonical_sha256_bytes"},"source_id":"2503.10642","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:406d94c2e6c116a52ec7f600b693b054081040f80a189313761ab523d97c712c","sha256:6e9ef2519fa3124ac0c76f9e200df4511ccf4f3ecade302cff5c888d06741703"],"state_sha256":"e8d69a0f37a3c21ecf5c165e54c516f3c96b72d1e73c2d9bdcdaf8965a66ef80"}