{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2014:EIR7C7ZXLJYEXFDKFDY2XPUB4P","short_pith_number":"pith:EIR7C7ZX","schema_version":"1.0","canonical_sha256":"2223f17f375a704b946a28f1abbe81e3ffc559b564cd843d74aba4b82492d18b","source":{"kind":"arxiv","id":"1403.6246","version":1},"attestation_state":"computed","paper":{"title":"Balancing Scalability and Uniformity in SAT Witness Generator","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.LO","authors_text":"Kuldeep S. Meel, Moshe Y. Vardi, Supratik Chakraborty","submitted_at":"2014-03-25T07:05:02Z","abstract_excerpt":"Constrained-random simulation is the predominant approach used in the industry for functional verification of complex digital designs. The effectiveness of this approach depends on two key factors: the quality of constraints used to generate test vectors, and the randomness of solutions generated from a given set of constraints. In this paper, we focus on the second problem, and present an algorithm that significantly improves the state-of-the-art of (almost-)uniform generation of solutions of large Boolean constraints. Our algorithm provides strong theoretical guarantees on the uniformity of "},"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":"1403.6246","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LO","submitted_at":"2014-03-25T07:05:02Z","cross_cats_sorted":[],"title_canon_sha256":"6e93a0d55b654194010e37729990f51bbe0d49b198f5de68da3848386748fbdc","abstract_canon_sha256":"1b1855dd342a42aed2f5420efe220add5318df090b1ab49f6e809a23fdd3718e"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:55:37.420805Z","signature_b64":"pNtwFShnQF2O866Mzr4asT2KOqz0CMvSnWffH2hX2cajH3u1GGKB75nbsYtzzXunuILRiQYJREhJ6amxL9udDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2223f17f375a704b946a28f1abbe81e3ffc559b564cd843d74aba4b82492d18b","last_reissued_at":"2026-05-18T02:55:37.420161Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:55:37.420161Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Balancing Scalability and Uniformity in SAT Witness Generator","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.LO","authors_text":"Kuldeep S. Meel, Moshe Y. Vardi, Supratik Chakraborty","submitted_at":"2014-03-25T07:05:02Z","abstract_excerpt":"Constrained-random simulation is the predominant approach used in the industry for functional verification of complex digital designs. The effectiveness of this approach depends on two key factors: the quality of constraints used to generate test vectors, and the randomness of solutions generated from a given set of constraints. In this paper, we focus on the second problem, and present an algorithm that significantly improves the state-of-the-art of (almost-)uniform generation of solutions of large Boolean constraints. Our algorithm provides strong theoretical guarantees on the uniformity of "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1403.6246","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":""},"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":"1403.6246","created_at":"2026-05-18T02:55:37.420264+00:00"},{"alias_kind":"arxiv_version","alias_value":"1403.6246v1","created_at":"2026-05-18T02:55:37.420264+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1403.6246","created_at":"2026-05-18T02:55:37.420264+00:00"},{"alias_kind":"pith_short_12","alias_value":"EIR7C7ZXLJYE","created_at":"2026-05-18T12:28:25.294606+00:00"},{"alias_kind":"pith_short_16","alias_value":"EIR7C7ZXLJYEXFDK","created_at":"2026-05-18T12:28:25.294606+00:00"},{"alias_kind":"pith_short_8","alias_value":"EIR7C7ZX","created_at":"2026-05-18T12:28:25.294606+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/EIR7C7ZXLJYEXFDKFDY2XPUB4P","json":"https://pith.science/pith/EIR7C7ZXLJYEXFDKFDY2XPUB4P.json","graph_json":"https://pith.science/api/pith-number/EIR7C7ZXLJYEXFDKFDY2XPUB4P/graph.json","events_json":"https://pith.science/api/pith-number/EIR7C7ZXLJYEXFDKFDY2XPUB4P/events.json","paper":"https://pith.science/paper/EIR7C7ZX"},"agent_actions":{"view_html":"https://pith.science/pith/EIR7C7ZXLJYEXFDKFDY2XPUB4P","download_json":"https://pith.science/pith/EIR7C7ZXLJYEXFDKFDY2XPUB4P.json","view_paper":"https://pith.science/paper/EIR7C7ZX","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1403.6246&json=true","fetch_graph":"https://pith.science/api/pith-number/EIR7C7ZXLJYEXFDKFDY2XPUB4P/graph.json","fetch_events":"https://pith.science/api/pith-number/EIR7C7ZXLJYEXFDKFDY2XPUB4P/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/EIR7C7ZXLJYEXFDKFDY2XPUB4P/action/timestamp_anchor","attest_storage":"https://pith.science/pith/EIR7C7ZXLJYEXFDKFDY2XPUB4P/action/storage_attestation","attest_author":"https://pith.science/pith/EIR7C7ZXLJYEXFDKFDY2XPUB4P/action/author_attestation","sign_citation":"https://pith.science/pith/EIR7C7ZXLJYEXFDKFDY2XPUB4P/action/citation_signature","submit_replication":"https://pith.science/pith/EIR7C7ZXLJYEXFDKFDY2XPUB4P/action/replication_record"}},"created_at":"2026-05-18T02:55:37.420264+00:00","updated_at":"2026-05-18T02:55:37.420264+00:00"}