{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2015:WPZ35ZEUI5NUOSBN5DD662BBFR","short_pith_number":"pith:WPZ35ZEU","canonical_record":{"source":{"id":"1510.07217","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2015-10-25T08:11:32Z","cross_cats_sorted":[],"title_canon_sha256":"bd29c1db2524553282c66781a377838351946dc59c6ee7796b58f8c7391cd9cd","abstract_canon_sha256":"ed9ec2c04667c18bb0cda70daef69f369ef9409620013cb6d52cd589f67ae15e"},"schema_version":"1.0"},"canonical_sha256":"b3f3bee494475b47482de8c7ef68212c43e1757218f150c79f802c9f814b6427","source":{"kind":"arxiv","id":"1510.07217","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1510.07217","created_at":"2026-05-18T01:25:17Z"},{"alias_kind":"arxiv_version","alias_value":"1510.07217v3","created_at":"2026-05-18T01:25:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1510.07217","created_at":"2026-05-18T01:25:17Z"},{"alias_kind":"pith_short_12","alias_value":"WPZ35ZEUI5NU","created_at":"2026-05-18T12:29:47Z"},{"alias_kind":"pith_short_16","alias_value":"WPZ35ZEUI5NUOSBN","created_at":"2026-05-18T12:29:47Z"},{"alias_kind":"pith_short_8","alias_value":"WPZ35ZEU","created_at":"2026-05-18T12:29:47Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2015:WPZ35ZEUI5NUOSBN5DD662BBFR","target":"record","payload":{"canonical_record":{"source":{"id":"1510.07217","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2015-10-25T08:11:32Z","cross_cats_sorted":[],"title_canon_sha256":"bd29c1db2524553282c66781a377838351946dc59c6ee7796b58f8c7391cd9cd","abstract_canon_sha256":"ed9ec2c04667c18bb0cda70daef69f369ef9409620013cb6d52cd589f67ae15e"},"schema_version":"1.0"},"canonical_sha256":"b3f3bee494475b47482de8c7ef68212c43e1757218f150c79f802c9f814b6427","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:25:17.764496Z","signature_b64":"f0YYwtNnz2Azb/x330ig5qsjKLiKTDrF4d6/YosxC5v6PJLkVz3blgdOngOM7SjBHaN7fzQdaxZwoTJTQaQJDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b3f3bee494475b47482de8c7ef68212c43e1757218f150c79f802c9f814b6427","last_reissued_at":"2026-05-18T01:25:17.763530Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:25:17.763530Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1510.07217","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T01:25:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QEce4A1EKnvHIHV8DKpN7/Jn5HU//3eIpS3lUfXbp1lVzLFu8XE6xB5npki4T7MgfgJVvLMInuOkr3oxBEGUBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-11T21:23:18.121260Z"},"content_sha256":"54653317472f4d74058219a32ccc4d32b872754386945fe2b18600abf48c21ba","schema_version":"1.0","event_id":"sha256:54653317472f4d74058219a32ccc4d32b872754386945fe2b18600abf48c21ba"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2015:WPZ35ZEUI5NUOSBN5DD662BBFR","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"An Efficient Implementation for WalkSAT","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Sixue Liu","submitted_at":"2015-10-25T08:11:32Z","abstract_excerpt":"Stochastic local search (SLS) algorithms have exhibited great effectiveness in finding models of random instances of the Boolean satisfiability problem (SAT). As one of the most widely known and used SLS algorithm, WalkSAT plays a key role in the evolutions of SLS for SAT, and also hold state-of-the-art performance on random instances. This work proposes a novel implementation for WalkSAT which decreases the redundant calculations leading to a dramatically speeding up, thus dominates the latest version of WalkSAT including its advanced variants."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1510.07217","kind":"arxiv","version":3},"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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T01:25:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"z8BpHzO9YkxAsPPVl9xPip1p2AlDCf/hV2A1UrBiXozXBwVqkEld+LenL8+HY82qy3I65GFIVf5hW22R9PXbAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-11T21:23:18.122001Z"},"content_sha256":"ac7cb11eeda30a2a9a42f8ee2c303acce3f426d61b42f63adfafeb4de95ed69e","schema_version":"1.0","event_id":"sha256:ac7cb11eeda30a2a9a42f8ee2c303acce3f426d61b42f63adfafeb4de95ed69e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/WPZ35ZEUI5NUOSBN5DD662BBFR/bundle.json","state_url":"https://pith.science/pith/WPZ35ZEUI5NUOSBN5DD662BBFR/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/WPZ35ZEUI5NUOSBN5DD662BBFR/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-06-11T21:23:18Z","links":{"resolver":"https://pith.science/pith/WPZ35ZEUI5NUOSBN5DD662BBFR","bundle":"https://pith.science/pith/WPZ35ZEUI5NUOSBN5DD662BBFR/bundle.json","state":"https://pith.science/pith/WPZ35ZEUI5NUOSBN5DD662BBFR/state.json","well_known_bundle":"https://pith.science/.well-known/pith/WPZ35ZEUI5NUOSBN5DD662BBFR/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2015:WPZ35ZEUI5NUOSBN5DD662BBFR","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":"ed9ec2c04667c18bb0cda70daef69f369ef9409620013cb6d52cd589f67ae15e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2015-10-25T08:11:32Z","title_canon_sha256":"bd29c1db2524553282c66781a377838351946dc59c6ee7796b58f8c7391cd9cd"},"schema_version":"1.0","source":{"id":"1510.07217","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1510.07217","created_at":"2026-05-18T01:25:17Z"},{"alias_kind":"arxiv_version","alias_value":"1510.07217v3","created_at":"2026-05-18T01:25:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1510.07217","created_at":"2026-05-18T01:25:17Z"},{"alias_kind":"pith_short_12","alias_value":"WPZ35ZEUI5NU","created_at":"2026-05-18T12:29:47Z"},{"alias_kind":"pith_short_16","alias_value":"WPZ35ZEUI5NUOSBN","created_at":"2026-05-18T12:29:47Z"},{"alias_kind":"pith_short_8","alias_value":"WPZ35ZEU","created_at":"2026-05-18T12:29:47Z"}],"graph_snapshots":[{"event_id":"sha256:ac7cb11eeda30a2a9a42f8ee2c303acce3f426d61b42f63adfafeb4de95ed69e","target":"graph","created_at":"2026-05-18T01:25:17Z","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"},"paper":{"abstract_excerpt":"Stochastic local search (SLS) algorithms have exhibited great effectiveness in finding models of random instances of the Boolean satisfiability problem (SAT). As one of the most widely known and used SLS algorithm, WalkSAT plays a key role in the evolutions of SLS for SAT, and also hold state-of-the-art performance on random instances. This work proposes a novel implementation for WalkSAT which decreases the redundant calculations leading to a dramatically speeding up, thus dominates the latest version of WalkSAT including its advanced variants.","authors_text":"Sixue Liu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2015-10-25T08:11:32Z","title":"An Efficient Implementation for WalkSAT"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1510.07217","kind":"arxiv","version":3},"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":"sha256:54653317472f4d74058219a32ccc4d32b872754386945fe2b18600abf48c21ba","target":"record","created_at":"2026-05-18T01:25:17Z","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":"ed9ec2c04667c18bb0cda70daef69f369ef9409620013cb6d52cd589f67ae15e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2015-10-25T08:11:32Z","title_canon_sha256":"bd29c1db2524553282c66781a377838351946dc59c6ee7796b58f8c7391cd9cd"},"schema_version":"1.0","source":{"id":"1510.07217","kind":"arxiv","version":3}},"canonical_sha256":"b3f3bee494475b47482de8c7ef68212c43e1757218f150c79f802c9f814b6427","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b3f3bee494475b47482de8c7ef68212c43e1757218f150c79f802c9f814b6427","first_computed_at":"2026-05-18T01:25:17.763530Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:25:17.763530Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"f0YYwtNnz2Azb/x330ig5qsjKLiKTDrF4d6/YosxC5v6PJLkVz3blgdOngOM7SjBHaN7fzQdaxZwoTJTQaQJDQ==","signature_status":"signed_v1","signed_at":"2026-05-18T01:25:17.764496Z","signed_message":"canonical_sha256_bytes"},"source_id":"1510.07217","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:54653317472f4d74058219a32ccc4d32b872754386945fe2b18600abf48c21ba","sha256:ac7cb11eeda30a2a9a42f8ee2c303acce3f426d61b42f63adfafeb4de95ed69e"],"state_sha256":"a09dcbb24cf33461c3286c03b9df5c831e3b134f70159c83fdc7f589293bf1f0"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"aJLKFnOppD5iGFaTJuz1VzPtK7kNa39pA264qiwPZMbBxtESK0L9lsiIqRWHlk18YNyVfulpinO3h80OigrTBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-11T21:23:18.125998Z","bundle_sha256":"58159e861280c4ab54bdf20c05732d45ac4ef71a6817f774174dc6ef915e120a"}}