{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:2SQQ6ED7XGOFADFC4GMD5Z6Z64","short_pith_number":"pith:2SQQ6ED7","canonical_record":{"source":{"id":"1904.12189","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CG","submitted_at":"2019-04-27T18:01:35Z","cross_cats_sorted":[],"title_canon_sha256":"f2cfd53df9e52112688ace0b0b8c901714b478a58bb827b60e0e756af561e85c","abstract_canon_sha256":"beade084bb20241ddb0e5d312cc1a0671fd93669b861a7796ae5923b9cd4193a"},"schema_version":"1.0"},"canonical_sha256":"d4a10f107fb99c500ca2e1983ee7d9f738d0931619d412809f14784be71a11e9","source":{"kind":"arxiv","id":"1904.12189","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1904.12189","created_at":"2026-07-05T00:25:38Z"},{"alias_kind":"arxiv_version","alias_value":"1904.12189v2","created_at":"2026-07-05T00:25:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1904.12189","created_at":"2026-07-05T00:25:38Z"},{"alias_kind":"pith_short_12","alias_value":"2SQQ6ED7XGOF","created_at":"2026-07-05T00:25:38Z"},{"alias_kind":"pith_short_16","alias_value":"2SQQ6ED7XGOFADFC","created_at":"2026-07-05T00:25:38Z"},{"alias_kind":"pith_short_8","alias_value":"2SQQ6ED7","created_at":"2026-07-05T00:25:38Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:2SQQ6ED7XGOFADFC4GMD5Z6Z64","target":"record","payload":{"canonical_record":{"source":{"id":"1904.12189","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CG","submitted_at":"2019-04-27T18:01:35Z","cross_cats_sorted":[],"title_canon_sha256":"f2cfd53df9e52112688ace0b0b8c901714b478a58bb827b60e0e756af561e85c","abstract_canon_sha256":"beade084bb20241ddb0e5d312cc1a0671fd93669b861a7796ae5923b9cd4193a"},"schema_version":"1.0"},"canonical_sha256":"d4a10f107fb99c500ca2e1983ee7d9f738d0931619d412809f14784be71a11e9","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:25:38.549633Z","signature_b64":"R0nZPVc+rzmE4RMCZ5t9PYFhxjUiLp5gYxTlA+lkv32zMijC9UtBtai6hrnxxHd6Fobuu0XaQVNqaMYMVYNODA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d4a10f107fb99c500ca2e1983ee7d9f738d0931619d412809f14784be71a11e9","last_reissued_at":"2026-07-05T00:25:38.549164Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:25:38.549164Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1904.12189","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T00:25:38Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"DAtAYh4DTFK7ofsSp7SFfp2aRhZDi7q4ZPUNYiEFvQZOFqZuU19aPyt2OIw1SYNWivCNMK59smP0ciq6Ps2rCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T19:38:24.964210Z"},"content_sha256":"4f5d28956c6d5c1c21dc96d32263a15551dbd01171448c89b3d0f1c82551067f","schema_version":"1.0","event_id":"sha256:4f5d28956c6d5c1c21dc96d32263a15551dbd01171448c89b3d0f1c82551067f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:2SQQ6ED7XGOFADFC4GMD5Z6Z64","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Learning metrics for persistence-based summaries and applications for graph classification","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CG","authors_text":"Qi Zhao, Yusu Wang","submitted_at":"2019-04-27T18:01:35Z","abstract_excerpt":"Recently a new feature representation and data analysis methodology based on a topological tool called persistent homology (and its corresponding persistence diagram summary) has started to attract momentum. A series of methods have been developed to map a persistence diagram to a vector representation so as to facilitate the downstream use of machine learning tools, and in these approaches, the importance (weight) of different persistence features are often preset. However often in practice, the choice of the weight function should depend on the nature of the specific type of data one conside"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1904.12189","kind":"arxiv","version":2},"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/1904.12189/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":"2026-07-05T00:25:38Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zGBDUp1ZuQuZ+8p69uvjr/yU+i5TZvdEHTt9HfoT4+XmBWHCgHmLTGYunrl4EAMFcMI+AkM6cegbtHAlHbSBAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T19:38:24.964710Z"},"content_sha256":"96a96f7dee61a8625ded7422a04a9bb96309c0831982ba52e54bae04f1189cce","schema_version":"1.0","event_id":"sha256:96a96f7dee61a8625ded7422a04a9bb96309c0831982ba52e54bae04f1189cce"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/2SQQ6ED7XGOFADFC4GMD5Z6Z64/bundle.json","state_url":"https://pith.science/pith/2SQQ6ED7XGOFADFC4GMD5Z6Z64/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/2SQQ6ED7XGOFADFC4GMD5Z6Z64/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":"2026-08-13T19:38:24Z","links":{"resolver":"https://pith.science/pith/2SQQ6ED7XGOFADFC4GMD5Z6Z64","bundle":"https://pith.science/pith/2SQQ6ED7XGOFADFC4GMD5Z6Z64/bundle.json","state":"https://pith.science/pith/2SQQ6ED7XGOFADFC4GMD5Z6Z64/state.json","well_known_bundle":"https://pith.science/.well-known/pith/2SQQ6ED7XGOFADFC4GMD5Z6Z64/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:2SQQ6ED7XGOFADFC4GMD5Z6Z64","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":"beade084bb20241ddb0e5d312cc1a0671fd93669b861a7796ae5923b9cd4193a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CG","submitted_at":"2019-04-27T18:01:35Z","title_canon_sha256":"f2cfd53df9e52112688ace0b0b8c901714b478a58bb827b60e0e756af561e85c"},"schema_version":"1.0","source":{"id":"1904.12189","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1904.12189","created_at":"2026-07-05T00:25:38Z"},{"alias_kind":"arxiv_version","alias_value":"1904.12189v2","created_at":"2026-07-05T00:25:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1904.12189","created_at":"2026-07-05T00:25:38Z"},{"alias_kind":"pith_short_12","alias_value":"2SQQ6ED7XGOF","created_at":"2026-07-05T00:25:38Z"},{"alias_kind":"pith_short_16","alias_value":"2SQQ6ED7XGOFADFC","created_at":"2026-07-05T00:25:38Z"},{"alias_kind":"pith_short_8","alias_value":"2SQQ6ED7","created_at":"2026-07-05T00:25:38Z"}],"graph_snapshots":[{"event_id":"sha256:96a96f7dee61a8625ded7422a04a9bb96309c0831982ba52e54bae04f1189cce","target":"graph","created_at":"2026-07-05T00:25:38Z","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/1904.12189/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recently a new feature representation and data analysis methodology based on a topological tool called persistent homology (and its corresponding persistence diagram summary) has started to attract momentum. A series of methods have been developed to map a persistence diagram to a vector representation so as to facilitate the downstream use of machine learning tools, and in these approaches, the importance (weight) of different persistence features are often preset. However often in practice, the choice of the weight function should depend on the nature of the specific type of data one conside","authors_text":"Qi Zhao, Yusu Wang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CG","submitted_at":"2019-04-27T18:01:35Z","title":"Learning metrics for persistence-based summaries and applications for graph classification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1904.12189","kind":"arxiv","version":2},"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":"sha256:4f5d28956c6d5c1c21dc96d32263a15551dbd01171448c89b3d0f1c82551067f","target":"record","created_at":"2026-07-05T00:25:38Z","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":"beade084bb20241ddb0e5d312cc1a0671fd93669b861a7796ae5923b9cd4193a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CG","submitted_at":"2019-04-27T18:01:35Z","title_canon_sha256":"f2cfd53df9e52112688ace0b0b8c901714b478a58bb827b60e0e756af561e85c"},"schema_version":"1.0","source":{"id":"1904.12189","kind":"arxiv","version":2}},"canonical_sha256":"d4a10f107fb99c500ca2e1983ee7d9f738d0931619d412809f14784be71a11e9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d4a10f107fb99c500ca2e1983ee7d9f738d0931619d412809f14784be71a11e9","first_computed_at":"2026-07-05T00:25:38.549164Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:25:38.549164Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"R0nZPVc+rzmE4RMCZ5t9PYFhxjUiLp5gYxTlA+lkv32zMijC9UtBtai6hrnxxHd6Fobuu0XaQVNqaMYMVYNODA==","signature_status":"signed_v1","signed_at":"2026-07-05T00:25:38.549633Z","signed_message":"canonical_sha256_bytes"},"source_id":"1904.12189","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4f5d28956c6d5c1c21dc96d32263a15551dbd01171448c89b3d0f1c82551067f","sha256:96a96f7dee61a8625ded7422a04a9bb96309c0831982ba52e54bae04f1189cce"],"state_sha256":"61b1f21056b1afd25cfc818aa703cebbdd03dfff5c7249ce04d24d90eeedf0c9"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mpKbIAhQMdPLOLqbuAdXXSwircoapMO700RVOenyZMsI946FcGhNRrhW4YMAWdil+37UmEzpxtUuJyLMPiZ+Bw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-13T19:38:24.978083Z","bundle_sha256":"50ce9b81c4955cdac617a63340563573bc099f1322feba0996bd812b2c719813"}}