{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2012:HHSR2FMMFQCUAHA2NCBI3QX3TE","short_pith_number":"pith:HHSR2FMM","canonical_record":{"source":{"id":"1204.6535","kind":"arxiv","version":6},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DM","submitted_at":"2012-04-30T02:19:26Z","cross_cats_sorted":["cs.DB"],"title_canon_sha256":"681bc484dc282a014c81aa6d69dfa83f25ce9b7af92e249396ee132a6eaad992","abstract_canon_sha256":"e8f6b3902879f9b76d2a46e1723f450d3638ae674957ac8da9f115487791bd6c"},"schema_version":"1.0"},"canonical_sha256":"39e51d158c2c05401c1a68828dc2fb992884fe0007912a1e9cf645d34e56af3f","source":{"kind":"arxiv","id":"1204.6535","version":6},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1204.6535","created_at":"2026-05-18T02:43:54Z"},{"alias_kind":"arxiv_version","alias_value":"1204.6535v6","created_at":"2026-05-18T02:43:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1204.6535","created_at":"2026-05-18T02:43:54Z"},{"alias_kind":"pith_short_12","alias_value":"HHSR2FMMFQCU","created_at":"2026-05-18T12:27:09Z"},{"alias_kind":"pith_short_16","alias_value":"HHSR2FMMFQCUAHA2","created_at":"2026-05-18T12:27:09Z"},{"alias_kind":"pith_short_8","alias_value":"HHSR2FMM","created_at":"2026-05-18T12:27:09Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2012:HHSR2FMMFQCUAHA2NCBI3QX3TE","target":"record","payload":{"canonical_record":{"source":{"id":"1204.6535","kind":"arxiv","version":6},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DM","submitted_at":"2012-04-30T02:19:26Z","cross_cats_sorted":["cs.DB"],"title_canon_sha256":"681bc484dc282a014c81aa6d69dfa83f25ce9b7af92e249396ee132a6eaad992","abstract_canon_sha256":"e8f6b3902879f9b76d2a46e1723f450d3638ae674957ac8da9f115487791bd6c"},"schema_version":"1.0"},"canonical_sha256":"39e51d158c2c05401c1a68828dc2fb992884fe0007912a1e9cf645d34e56af3f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:43:54.547393Z","signature_b64":"M4nrk0mRzJyvjSqZghN3HDRq3Rqvw9C1P/66PrQdnXY62MSqr2CeyyRPylGeFlCx+LUyn6EVLwjl7FTQ4Gc1DA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"39e51d158c2c05401c1a68828dc2fb992884fe0007912a1e9cf645d34e56af3f","last_reissued_at":"2026-05-18T02:43:54.546965Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:43:54.546965Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1204.6535","source_version":6,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T02:43:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fEwaz1Fw/D4d1LN0rd7p1sUCo0d9BpXBk7PU+wKY2NIPS70u/pYVAtKdszpuEJ2xHCuMlksEkf0CPEFdueRMCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T14:34:25.529882Z"},"content_sha256":"b824cbb1f3dcf98720e8ba7e19196071d7bc61bbb6806cfc509d8f2def46c6d8","schema_version":"1.0","event_id":"sha256:b824cbb1f3dcf98720e8ba7e19196071d7bc61bbb6806cfc509d8f2def46c6d8"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2012:HHSR2FMMFQCUAHA2NCBI3QX3TE","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Citations, Sequence Alignments, Contagion, and Semantics: On Acyclic Structures and their Randomness","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.DB"],"primary_cat":"cs.DM","authors_text":"Sandeep Gupta","submitted_at":"2012-04-30T02:19:26Z","abstract_excerpt":"Datasets from several domains, such as life-sciences, semantic web, machine learning, natural language processing, etc. are naturally structured as acyclic graphs. These datasets, particularly those in bio-informatics and computational epidemiology, have grown tremendously over the last decade or so. Increasingly, as a consequence, there is a need to build and evaluate various strategies for processing acyclic structured graphs. Most of the proposed research models the real world acyclic structures as random graphs, i.e., they are generated by randomly selecting a subset of edges from all poss"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1204.6535","kind":"arxiv","version":6},"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":"2026-05-18T02:43:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/PsBDls8h2+wl8WXL0KakswuuOZA1QHM8bXjaLgfT+EUUM21SSXmye35sdYcDixur4w/LtFKKmhmj2OU6EjyBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T14:34:25.530228Z"},"content_sha256":"35ef683a207365a94f7c0e8153dee1c46c4e23f9ef09ea1d4d21705bd1a75757","schema_version":"1.0","event_id":"sha256:35ef683a207365a94f7c0e8153dee1c46c4e23f9ef09ea1d4d21705bd1a75757"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/HHSR2FMMFQCUAHA2NCBI3QX3TE/bundle.json","state_url":"https://pith.science/pith/HHSR2FMMFQCUAHA2NCBI3QX3TE/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/HHSR2FMMFQCUAHA2NCBI3QX3TE/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":"2026-05-28T14:34:25Z","links":{"resolver":"https://pith.science/pith/HHSR2FMMFQCUAHA2NCBI3QX3TE","bundle":"https://pith.science/pith/HHSR2FMMFQCUAHA2NCBI3QX3TE/bundle.json","state":"https://pith.science/pith/HHSR2FMMFQCUAHA2NCBI3QX3TE/state.json","well_known_bundle":"https://pith.science/.well-known/pith/HHSR2FMMFQCUAHA2NCBI3QX3TE/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2012:HHSR2FMMFQCUAHA2NCBI3QX3TE","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":"e8f6b3902879f9b76d2a46e1723f450d3638ae674957ac8da9f115487791bd6c","cross_cats_sorted":["cs.DB"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DM","submitted_at":"2012-04-30T02:19:26Z","title_canon_sha256":"681bc484dc282a014c81aa6d69dfa83f25ce9b7af92e249396ee132a6eaad992"},"schema_version":"1.0","source":{"id":"1204.6535","kind":"arxiv","version":6}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1204.6535","created_at":"2026-05-18T02:43:54Z"},{"alias_kind":"arxiv_version","alias_value":"1204.6535v6","created_at":"2026-05-18T02:43:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1204.6535","created_at":"2026-05-18T02:43:54Z"},{"alias_kind":"pith_short_12","alias_value":"HHSR2FMMFQCU","created_at":"2026-05-18T12:27:09Z"},{"alias_kind":"pith_short_16","alias_value":"HHSR2FMMFQCUAHA2","created_at":"2026-05-18T12:27:09Z"},{"alias_kind":"pith_short_8","alias_value":"HHSR2FMM","created_at":"2026-05-18T12:27:09Z"}],"graph_snapshots":[{"event_id":"sha256:35ef683a207365a94f7c0e8153dee1c46c4e23f9ef09ea1d4d21705bd1a75757","target":"graph","created_at":"2026-05-18T02:43:54Z","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":"Datasets from several domains, such as life-sciences, semantic web, machine learning, natural language processing, etc. are naturally structured as acyclic graphs. These datasets, particularly those in bio-informatics and computational epidemiology, have grown tremendously over the last decade or so. Increasingly, as a consequence, there is a need to build and evaluate various strategies for processing acyclic structured graphs. Most of the proposed research models the real world acyclic structures as random graphs, i.e., they are generated by randomly selecting a subset of edges from all poss","authors_text":"Sandeep Gupta","cross_cats":["cs.DB"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DM","submitted_at":"2012-04-30T02:19:26Z","title":"Citations, Sequence Alignments, Contagion, and Semantics: On Acyclic Structures and their Randomness"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1204.6535","kind":"arxiv","version":6},"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:b824cbb1f3dcf98720e8ba7e19196071d7bc61bbb6806cfc509d8f2def46c6d8","target":"record","created_at":"2026-05-18T02:43:54Z","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":"e8f6b3902879f9b76d2a46e1723f450d3638ae674957ac8da9f115487791bd6c","cross_cats_sorted":["cs.DB"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DM","submitted_at":"2012-04-30T02:19:26Z","title_canon_sha256":"681bc484dc282a014c81aa6d69dfa83f25ce9b7af92e249396ee132a6eaad992"},"schema_version":"1.0","source":{"id":"1204.6535","kind":"arxiv","version":6}},"canonical_sha256":"39e51d158c2c05401c1a68828dc2fb992884fe0007912a1e9cf645d34e56af3f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"39e51d158c2c05401c1a68828dc2fb992884fe0007912a1e9cf645d34e56af3f","first_computed_at":"2026-05-18T02:43:54.546965Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T02:43:54.546965Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"M4nrk0mRzJyvjSqZghN3HDRq3Rqvw9C1P/66PrQdnXY62MSqr2CeyyRPylGeFlCx+LUyn6EVLwjl7FTQ4Gc1DA==","signature_status":"signed_v1","signed_at":"2026-05-18T02:43:54.547393Z","signed_message":"canonical_sha256_bytes"},"source_id":"1204.6535","source_kind":"arxiv","source_version":6}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b824cbb1f3dcf98720e8ba7e19196071d7bc61bbb6806cfc509d8f2def46c6d8","sha256:35ef683a207365a94f7c0e8153dee1c46c4e23f9ef09ea1d4d21705bd1a75757"],"state_sha256":"09500d605fcbe1cb487b5fd3733ecc436f055fbe8ca7c4ac66b1d019bd87c83c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"uV4ZLAl+to3VfGFH7GnpG0lEj43vtm1c9I+ZPmht2lrxyGpEtKZrRys3Rhwx/6hL4Piiu1+9D6IBeajZ6VHvCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-28T14:34:25.532168Z","bundle_sha256":"2cd214bd94977b5190700f1211450002267dc67c97d998a1982d642992350816"}}