{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:PXGTXQ3HJRB5IVQWERDNPXPT4V","short_pith_number":"pith:PXGTXQ3H","canonical_record":{"source":{"id":"1704.02432","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.PL","submitted_at":"2017-04-08T03:14:13Z","cross_cats_sorted":["cs.SE"],"title_canon_sha256":"3f5c64fa833cfed8688a8dbeb13c60987e586b4bcfcaf8fc60fb2304641c7ed4","abstract_canon_sha256":"5c85fe41389bcd108d570fd2b1f90453f6aab6ccbc16b6c304e1e4de0a58c48d"},"schema_version":"1.0"},"canonical_sha256":"7dcd3bc3674c43d456162446d7ddf3e57e8f01182c68e9721ff86d56cf35aa14","source":{"kind":"arxiv","id":"1704.02432","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1704.02432","created_at":"2026-05-18T00:27:46Z"},{"alias_kind":"arxiv_version","alias_value":"1704.02432v3","created_at":"2026-05-18T00:27:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1704.02432","created_at":"2026-05-18T00:27:46Z"},{"alias_kind":"pith_short_12","alias_value":"PXGTXQ3HJRB5","created_at":"2026-05-18T12:31:37Z"},{"alias_kind":"pith_short_16","alias_value":"PXGTXQ3HJRB5IVQW","created_at":"2026-05-18T12:31:37Z"},{"alias_kind":"pith_short_8","alias_value":"PXGTXQ3H","created_at":"2026-05-18T12:31:37Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:PXGTXQ3HJRB5IVQWERDNPXPT4V","target":"record","payload":{"canonical_record":{"source":{"id":"1704.02432","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.PL","submitted_at":"2017-04-08T03:14:13Z","cross_cats_sorted":["cs.SE"],"title_canon_sha256":"3f5c64fa833cfed8688a8dbeb13c60987e586b4bcfcaf8fc60fb2304641c7ed4","abstract_canon_sha256":"5c85fe41389bcd108d570fd2b1f90453f6aab6ccbc16b6c304e1e4de0a58c48d"},"schema_version":"1.0"},"canonical_sha256":"7dcd3bc3674c43d456162446d7ddf3e57e8f01182c68e9721ff86d56cf35aa14","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:27:46.864847Z","signature_b64":"UMR3kccLCqUxJYzBrgzz7fRLqr7wUQh4oone5LaePB0LSfWthvgFb1zVGmq0XEnWlOI1VeoGEPAt2mKJCf1VBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7dcd3bc3674c43d456162446d7ddf3e57e8f01182c68e9721ff86d56cf35aa14","last_reissued_at":"2026-05-18T00:27:46.864358Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:27:46.864358Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1704.02432","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":"2026-05-18T00:27:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"navc7x83Q3T3GCWxxLkzDfWnD9AGKsK0PAGNIS6rqMsCdUOcwx165E5BqgaZisxtv/PEuc3d1fPZeXz9Q9FDDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-20T04:28:39.193046Z"},"content_sha256":"d2560507631786c118bb45aa29a03e498dff255c50fc594c7aab03a9b7988247","schema_version":"1.0","event_id":"sha256:d2560507631786c118bb45aa29a03e498dff255c50fc594c7aab03a9b7988247"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:PXGTXQ3HJRB5IVQWERDNPXPT4V","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Dynamic Race Prediction in Linear Time","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.SE"],"primary_cat":"cs.PL","authors_text":"Dileep Kini, Mahesh Viswanathan, Umang Mathur","submitted_at":"2017-04-08T03:14:13Z","abstract_excerpt":"Writing reliable concurrent software remains a huge challenge for today's programmers. Programmers rarely reason about their code by explicitly considering different possible inter-leavings of its execution. We consider the problem of detecting data races from individual executions in a sound manner. The classical approach to solving this problem has been to use Lamport's happens-before (HB) relation. Until now HB remains the only approach that runs in linear time. Previous efforts in improving over HB such as causally-precedes (CP) and maximal causal models fall short due to the fact that the"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1704.02432","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":"2026-05-18T00:27:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"yTRglH/x1yKy3QfpUkaKtU9+wlZUlK0q8UykNZgrFMVPNTdLxeNde8v7djr2mNUzu5uJ7wRPOUIoaKlLTxlpAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-20T04:28:39.193403Z"},"content_sha256":"fd23873ed67465f846d73b41b13d236c955fb846c8b26bf1469bf25358d9b55b","schema_version":"1.0","event_id":"sha256:fd23873ed67465f846d73b41b13d236c955fb846c8b26bf1469bf25358d9b55b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/PXGTXQ3HJRB5IVQWERDNPXPT4V/bundle.json","state_url":"https://pith.science/pith/PXGTXQ3HJRB5IVQWERDNPXPT4V/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/PXGTXQ3HJRB5IVQWERDNPXPT4V/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":"2026-06-20T04:28:39Z","links":{"resolver":"https://pith.science/pith/PXGTXQ3HJRB5IVQWERDNPXPT4V","bundle":"https://pith.science/pith/PXGTXQ3HJRB5IVQWERDNPXPT4V/bundle.json","state":"https://pith.science/pith/PXGTXQ3HJRB5IVQWERDNPXPT4V/state.json","well_known_bundle":"https://pith.science/.well-known/pith/PXGTXQ3HJRB5IVQWERDNPXPT4V/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:PXGTXQ3HJRB5IVQWERDNPXPT4V","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":"5c85fe41389bcd108d570fd2b1f90453f6aab6ccbc16b6c304e1e4de0a58c48d","cross_cats_sorted":["cs.SE"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.PL","submitted_at":"2017-04-08T03:14:13Z","title_canon_sha256":"3f5c64fa833cfed8688a8dbeb13c60987e586b4bcfcaf8fc60fb2304641c7ed4"},"schema_version":"1.0","source":{"id":"1704.02432","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1704.02432","created_at":"2026-05-18T00:27:46Z"},{"alias_kind":"arxiv_version","alias_value":"1704.02432v3","created_at":"2026-05-18T00:27:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1704.02432","created_at":"2026-05-18T00:27:46Z"},{"alias_kind":"pith_short_12","alias_value":"PXGTXQ3HJRB5","created_at":"2026-05-18T12:31:37Z"},{"alias_kind":"pith_short_16","alias_value":"PXGTXQ3HJRB5IVQW","created_at":"2026-05-18T12:31:37Z"},{"alias_kind":"pith_short_8","alias_value":"PXGTXQ3H","created_at":"2026-05-18T12:31:37Z"}],"graph_snapshots":[{"event_id":"sha256:fd23873ed67465f846d73b41b13d236c955fb846c8b26bf1469bf25358d9b55b","target":"graph","created_at":"2026-05-18T00:27:46Z","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":"Writing reliable concurrent software remains a huge challenge for today's programmers. Programmers rarely reason about their code by explicitly considering different possible inter-leavings of its execution. We consider the problem of detecting data races from individual executions in a sound manner. The classical approach to solving this problem has been to use Lamport's happens-before (HB) relation. Until now HB remains the only approach that runs in linear time. Previous efforts in improving over HB such as causally-precedes (CP) and maximal causal models fall short due to the fact that the","authors_text":"Dileep Kini, Mahesh Viswanathan, Umang Mathur","cross_cats":["cs.SE"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.PL","submitted_at":"2017-04-08T03:14:13Z","title":"Dynamic Race Prediction in Linear Time"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1704.02432","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:d2560507631786c118bb45aa29a03e498dff255c50fc594c7aab03a9b7988247","target":"record","created_at":"2026-05-18T00:27:46Z","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":"5c85fe41389bcd108d570fd2b1f90453f6aab6ccbc16b6c304e1e4de0a58c48d","cross_cats_sorted":["cs.SE"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.PL","submitted_at":"2017-04-08T03:14:13Z","title_canon_sha256":"3f5c64fa833cfed8688a8dbeb13c60987e586b4bcfcaf8fc60fb2304641c7ed4"},"schema_version":"1.0","source":{"id":"1704.02432","kind":"arxiv","version":3}},"canonical_sha256":"7dcd3bc3674c43d456162446d7ddf3e57e8f01182c68e9721ff86d56cf35aa14","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7dcd3bc3674c43d456162446d7ddf3e57e8f01182c68e9721ff86d56cf35aa14","first_computed_at":"2026-05-18T00:27:46.864358Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:27:46.864358Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"UMR3kccLCqUxJYzBrgzz7fRLqr7wUQh4oone5LaePB0LSfWthvgFb1zVGmq0XEnWlOI1VeoGEPAt2mKJCf1VBg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:27:46.864847Z","signed_message":"canonical_sha256_bytes"},"source_id":"1704.02432","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d2560507631786c118bb45aa29a03e498dff255c50fc594c7aab03a9b7988247","sha256:fd23873ed67465f846d73b41b13d236c955fb846c8b26bf1469bf25358d9b55b"],"state_sha256":"f8044777d9c789b91d67f09cce981e14182b23ec0147020640e89fae394fc79e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HDDIheSYxMUiABbmIa/dWmVRpe0TAlndl3TtN8wnUlKgnAWSW/YEx1s5cFRsr3MfIC2oEBQXLdMkN4lTFtFPBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-20T04:28:39.195243Z","bundle_sha256":"d7575a4feffe19650632fee48f9f90483f57ffc1d422157789b9caad72bf709e"}}