{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:XEBBMRQAWO2J3ZUX6HBFTWG7N6","short_pith_number":"pith:XEBBMRQA","schema_version":"1.0","canonical_sha256":"b902164600b3b49de697f1c259d8df6fb57a9f30303fb31e62f9f5d141b2faa3","source":{"kind":"arxiv","id":"2606.30888","version":1},"attestation_state":"computed","paper":{"title":"Automated Reasoning with Nested Datatypes","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.LO","authors_text":"Andrew Reynolds, Cesare Tinelli, Clark Barrett, Tomer Hakak, Yoni Zohar","submitted_at":"2026-06-29T20:23:42Z","abstract_excerpt":"We introduce a theory of nested datatypes. The theory is obtained\n  by restricting the naive combination of datatypes and arrays, so as to prevent\n  non-standard models from emerging.\n  A decision procedure for the theory is given and proven correct.\n  Finally, we describe an implementation of the procedure,\n  as well as an evaluation over both real-world and crafted benchmarks."},"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":"2606.30888","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LO","submitted_at":"2026-06-29T20:23:42Z","cross_cats_sorted":[],"title_canon_sha256":"6adbff74a87c401b7c1659fca3f86ebf7494d5f82bf7b0e16f9ff697f9984930","abstract_canon_sha256":"6595a93893e043f436f211e548c5571a4c139ec864b1a34afa1446ddc967b9c3"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-01T00:17:20.576939Z","signature_b64":"fmMOqwefktPCgHr2OZkYJ2y6Ic7IW/fC7UvyLr6ueMS4u453DSb6m0nZGm0WKJzgiu2xrROzy4R5ORVMInhjBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b902164600b3b49de697f1c259d8df6fb57a9f30303fb31e62f9f5d141b2faa3","last_reissued_at":"2026-07-01T00:17:20.576514Z","signature_status":"signed_v1","first_computed_at":"2026-07-01T00:17:20.576514Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Automated Reasoning with Nested Datatypes","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.LO","authors_text":"Andrew Reynolds, Cesare Tinelli, Clark Barrett, Tomer Hakak, Yoni Zohar","submitted_at":"2026-06-29T20:23:42Z","abstract_excerpt":"We introduce a theory of nested datatypes. The theory is obtained\n  by restricting the naive combination of datatypes and arrays, so as to prevent\n  non-standard models from emerging.\n  A decision procedure for the theory is given and proven correct.\n  Finally, we describe an implementation of the procedure,\n  as well as an evaluation over both real-world and crafted benchmarks."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.30888","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/2606.30888/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":"2606.30888","created_at":"2026-07-01T00:17:20.576579+00:00"},{"alias_kind":"arxiv_version","alias_value":"2606.30888v1","created_at":"2026-07-01T00:17:20.576579+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.30888","created_at":"2026-07-01T00:17:20.576579+00:00"},{"alias_kind":"pith_short_12","alias_value":"XEBBMRQAWO2J","created_at":"2026-07-01T00:17:20.576579+00:00"},{"alias_kind":"pith_short_16","alias_value":"XEBBMRQAWO2J3ZUX","created_at":"2026-07-01T00:17:20.576579+00:00"},{"alias_kind":"pith_short_8","alias_value":"XEBBMRQA","created_at":"2026-07-01T00:17:20.576579+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/XEBBMRQAWO2J3ZUX6HBFTWG7N6","json":"https://pith.science/pith/XEBBMRQAWO2J3ZUX6HBFTWG7N6.json","graph_json":"https://pith.science/api/pith-number/XEBBMRQAWO2J3ZUX6HBFTWG7N6/graph.json","events_json":"https://pith.science/api/pith-number/XEBBMRQAWO2J3ZUX6HBFTWG7N6/events.json","paper":"https://pith.science/paper/XEBBMRQA"},"agent_actions":{"view_html":"https://pith.science/pith/XEBBMRQAWO2J3ZUX6HBFTWG7N6","download_json":"https://pith.science/pith/XEBBMRQAWO2J3ZUX6HBFTWG7N6.json","view_paper":"https://pith.science/paper/XEBBMRQA","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2606.30888&json=true","fetch_graph":"https://pith.science/api/pith-number/XEBBMRQAWO2J3ZUX6HBFTWG7N6/graph.json","fetch_events":"https://pith.science/api/pith-number/XEBBMRQAWO2J3ZUX6HBFTWG7N6/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/XEBBMRQAWO2J3ZUX6HBFTWG7N6/action/timestamp_anchor","attest_storage":"https://pith.science/pith/XEBBMRQAWO2J3ZUX6HBFTWG7N6/action/storage_attestation","attest_author":"https://pith.science/pith/XEBBMRQAWO2J3ZUX6HBFTWG7N6/action/author_attestation","sign_citation":"https://pith.science/pith/XEBBMRQAWO2J3ZUX6HBFTWG7N6/action/citation_signature","submit_replication":"https://pith.science/pith/XEBBMRQAWO2J3ZUX6HBFTWG7N6/action/replication_record"}},"created_at":"2026-07-01T00:17:20.576579+00:00","updated_at":"2026-07-01T00:17:20.576579+00:00"}