{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:IWBQPEOWYOPIOQ2RIZ6U3NIK5E","short_pith_number":"pith:IWBQPEOW","canonical_record":{"source":{"id":"2204.01057","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"math.CO","submitted_at":"2022-04-03T11:54:22Z","cross_cats_sorted":["cs.DM","cs.LG"],"title_canon_sha256":"e3f08983d39cd6a34e06e3b952772de9b0d76518198e4d29ea38d2733b0b6819","abstract_canon_sha256":"9fb3107a10aba515e763fd20672f9e9eb52e19e4f730d116ecdb24f5647680f9"},"schema_version":"1.0"},"canonical_sha256":"45830791d6c39e874351467d4db50ae926983b90b35231182dda50daeda5f1d5","source":{"kind":"arxiv","id":"2204.01057","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2204.01057","created_at":"2026-07-05T06:16:59Z"},{"alias_kind":"arxiv_version","alias_value":"2204.01057v3","created_at":"2026-07-05T06:16:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2204.01057","created_at":"2026-07-05T06:16:59Z"},{"alias_kind":"pith_short_12","alias_value":"IWBQPEOWYOPI","created_at":"2026-07-05T06:16:59Z"},{"alias_kind":"pith_short_16","alias_value":"IWBQPEOWYOPIOQ2R","created_at":"2026-07-05T06:16:59Z"},{"alias_kind":"pith_short_8","alias_value":"IWBQPEOW","created_at":"2026-07-05T06:16:59Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:IWBQPEOWYOPIOQ2RIZ6U3NIK5E","target":"record","payload":{"canonical_record":{"source":{"id":"2204.01057","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"math.CO","submitted_at":"2022-04-03T11:54:22Z","cross_cats_sorted":["cs.DM","cs.LG"],"title_canon_sha256":"e3f08983d39cd6a34e06e3b952772de9b0d76518198e4d29ea38d2733b0b6819","abstract_canon_sha256":"9fb3107a10aba515e763fd20672f9e9eb52e19e4f730d116ecdb24f5647680f9"},"schema_version":"1.0"},"canonical_sha256":"45830791d6c39e874351467d4db50ae926983b90b35231182dda50daeda5f1d5","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:16:59.650839Z","signature_b64":"MRK2yZHV5Om16j3KKVhZWWccXquAM7y6cBNaFYqqlrY3bzBgZpXaUftGn1JNw3uStIEm69GBeKgerV0jWFtABQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"45830791d6c39e874351467d4db50ae926983b90b35231182dda50daeda5f1d5","last_reissued_at":"2026-07-05T06:16:59.650354Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:16:59.650354Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2204.01057","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":"2026-07-05T06:16:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bvKs1CMnfgPm5+4vbP5PVzEkxJAquRs+mYMBIuHbJmG2MJM5gyY8A2NNK7FKkqOJe2qaZ0jBaAdmm72Y/5BFAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-24T10:56:36.953640Z"},"content_sha256":"11056b0031d06d90e878445bce11211cdb1c257c9c8f2be62ef358f64498d19a","schema_version":"1.0","event_id":"sha256:11056b0031d06d90e878445bce11211cdb1c257c9c8f2be62ef358f64498d19a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:IWBQPEOWYOPIOQ2RIZ6U3NIK5E","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Survey on Machine Learning Solutions for Graph Pattern Extraction","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.DM","cs.LG"],"primary_cat":"math.CO","authors_text":"Chenhao Ma, Kai Siong Yow, Ningyi Liao, Reynold Cheng, Siqiang Luo, Xiaolin Han","submitted_at":"2022-04-03T11:54:22Z","abstract_excerpt":"A subgraph is constructed by using a subset of vertices and edges of a given graph. There exist many graph properties that are hereditary for subgraphs. Hence, researchers from different communities have paid a great deal of attention in studying numerous subgraph problems, on top of the ordinary graph problems. Many algorithms are proposed in studying subgraph problems, where one common approach is by extracting the patterns and structures of a given graph. Due to the complex structures of certain types of graphs and to improve overall performances of the existing frameworks, machine learning"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2204.01057","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2204.01057/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T06:16:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zmd/8lWRWK+LSswtDKTZZbEhW55sgFWHlxcw1eObzDM9yjWWfxY/B3qUz6dn5fSI8rNYgEGYs5FIbLr2gZSaAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-24T10:56:36.954026Z"},"content_sha256":"d923bb34e948e1c8e015b358b121ce1412fdc166a588f70a01cf15fe330d8db0","schema_version":"1.0","event_id":"sha256:d923bb34e948e1c8e015b358b121ce1412fdc166a588f70a01cf15fe330d8db0"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/IWBQPEOWYOPIOQ2RIZ6U3NIK5E/bundle.json","state_url":"https://pith.science/pith/IWBQPEOWYOPIOQ2RIZ6U3NIK5E/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/IWBQPEOWYOPIOQ2RIZ6U3NIK5E/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":"2026-07-24T10:56:36Z","links":{"resolver":"https://pith.science/pith/IWBQPEOWYOPIOQ2RIZ6U3NIK5E","bundle":"https://pith.science/pith/IWBQPEOWYOPIOQ2RIZ6U3NIK5E/bundle.json","state":"https://pith.science/pith/IWBQPEOWYOPIOQ2RIZ6U3NIK5E/state.json","well_known_bundle":"https://pith.science/.well-known/pith/IWBQPEOWYOPIOQ2RIZ6U3NIK5E/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:IWBQPEOWYOPIOQ2RIZ6U3NIK5E","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":"9fb3107a10aba515e763fd20672f9e9eb52e19e4f730d116ecdb24f5647680f9","cross_cats_sorted":["cs.DM","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"math.CO","submitted_at":"2022-04-03T11:54:22Z","title_canon_sha256":"e3f08983d39cd6a34e06e3b952772de9b0d76518198e4d29ea38d2733b0b6819"},"schema_version":"1.0","source":{"id":"2204.01057","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2204.01057","created_at":"2026-07-05T06:16:59Z"},{"alias_kind":"arxiv_version","alias_value":"2204.01057v3","created_at":"2026-07-05T06:16:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2204.01057","created_at":"2026-07-05T06:16:59Z"},{"alias_kind":"pith_short_12","alias_value":"IWBQPEOWYOPI","created_at":"2026-07-05T06:16:59Z"},{"alias_kind":"pith_short_16","alias_value":"IWBQPEOWYOPIOQ2R","created_at":"2026-07-05T06:16:59Z"},{"alias_kind":"pith_short_8","alias_value":"IWBQPEOW","created_at":"2026-07-05T06:16:59Z"}],"graph_snapshots":[{"event_id":"sha256:d923bb34e948e1c8e015b358b121ce1412fdc166a588f70a01cf15fe330d8db0","target":"graph","created_at":"2026-07-05T06:16:59Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2204.01057/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"A subgraph is constructed by using a subset of vertices and edges of a given graph. There exist many graph properties that are hereditary for subgraphs. Hence, researchers from different communities have paid a great deal of attention in studying numerous subgraph problems, on top of the ordinary graph problems. Many algorithms are proposed in studying subgraph problems, where one common approach is by extracting the patterns and structures of a given graph. Due to the complex structures of certain types of graphs and to improve overall performances of the existing frameworks, machine learning","authors_text":"Chenhao Ma, Kai Siong Yow, Ningyi Liao, Reynold Cheng, Siqiang Luo, Xiaolin Han","cross_cats":["cs.DM","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"math.CO","submitted_at":"2022-04-03T11:54:22Z","title":"A Survey on Machine Learning Solutions for Graph Pattern Extraction"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2204.01057","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":"sha256:11056b0031d06d90e878445bce11211cdb1c257c9c8f2be62ef358f64498d19a","target":"record","created_at":"2026-07-05T06:16:59Z","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":"9fb3107a10aba515e763fd20672f9e9eb52e19e4f730d116ecdb24f5647680f9","cross_cats_sorted":["cs.DM","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"math.CO","submitted_at":"2022-04-03T11:54:22Z","title_canon_sha256":"e3f08983d39cd6a34e06e3b952772de9b0d76518198e4d29ea38d2733b0b6819"},"schema_version":"1.0","source":{"id":"2204.01057","kind":"arxiv","version":3}},"canonical_sha256":"45830791d6c39e874351467d4db50ae926983b90b35231182dda50daeda5f1d5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"45830791d6c39e874351467d4db50ae926983b90b35231182dda50daeda5f1d5","first_computed_at":"2026-07-05T06:16:59.650354Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:16:59.650354Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"MRK2yZHV5Om16j3KKVhZWWccXquAM7y6cBNaFYqqlrY3bzBgZpXaUftGn1JNw3uStIEm69GBeKgerV0jWFtABQ==","signature_status":"signed_v1","signed_at":"2026-07-05T06:16:59.650839Z","signed_message":"canonical_sha256_bytes"},"source_id":"2204.01057","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:11056b0031d06d90e878445bce11211cdb1c257c9c8f2be62ef358f64498d19a","sha256:d923bb34e948e1c8e015b358b121ce1412fdc166a588f70a01cf15fe330d8db0"],"state_sha256":"998c4ea445301d6c9a3839ba3b6e28d96a520a50eac5bb60bfdd99b7788e57d9"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"RoXkoucwErOspqTsmpWCkUIi1xPOjHrsHLPhOMBnvOwjPtu0LLyTK2qeVS6D4Y4GGOx6SSHsdk6DJ5ClEIh0Cg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-24T10:56:36.956101Z","bundle_sha256":"da4019efc867a4a2921d5d8f0bebb1626afed70ce0c2c2ae7c7a23a9e16f870c"}}