{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:A254SYP7MW44HHGSJ73MYJ6LP6","short_pith_number":"pith:A254SYP7","canonical_record":{"source":{"id":"2410.00875","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-10-01T17:11:22Z","cross_cats_sorted":[],"title_canon_sha256":"ce7b8642fb176accbddd49b0b4cc505fd65b16634c320e37e826e707de63e4df","abstract_canon_sha256":"4caa7881b15d2c64082272c45f69132112560de3003d0c4d67ea0a00ac6da7a4"},"schema_version":"1.0"},"canonical_sha256":"06bbc961ff65b9c39cd24ff6cc27cb7f82b4b393407cafd9c03227a3b48a6e30","source":{"kind":"arxiv","id":"2410.00875","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.00875","created_at":"2026-07-05T09:14:24Z"},{"alias_kind":"arxiv_version","alias_value":"2410.00875v1","created_at":"2026-07-05T09:14:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.00875","created_at":"2026-07-05T09:14:24Z"},{"alias_kind":"pith_short_12","alias_value":"A254SYP7MW44","created_at":"2026-07-05T09:14:24Z"},{"alias_kind":"pith_short_16","alias_value":"A254SYP7MW44HHGS","created_at":"2026-07-05T09:14:24Z"},{"alias_kind":"pith_short_8","alias_value":"A254SYP7","created_at":"2026-07-05T09:14:24Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:A254SYP7MW44HHGSJ73MYJ6LP6","target":"record","payload":{"canonical_record":{"source":{"id":"2410.00875","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-10-01T17:11:22Z","cross_cats_sorted":[],"title_canon_sha256":"ce7b8642fb176accbddd49b0b4cc505fd65b16634c320e37e826e707de63e4df","abstract_canon_sha256":"4caa7881b15d2c64082272c45f69132112560de3003d0c4d67ea0a00ac6da7a4"},"schema_version":"1.0"},"canonical_sha256":"06bbc961ff65b9c39cd24ff6cc27cb7f82b4b393407cafd9c03227a3b48a6e30","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:14:24.025625Z","signature_b64":"aSHySB5uEZC13mtPa/H31dJx+G8dGIJ1XOkbEND2m12AzLhK+wOa1maPQVUmM5kiMH6UCEMkI/uKaV9OWif7CQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"06bbc961ff65b9c39cd24ff6cc27cb7f82b4b393407cafd9c03227a3b48a6e30","last_reissued_at":"2026-07-05T09:14:24.025130Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:14:24.025130Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2410.00875","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:14:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"BUr34JGM9HwY9T2rokORFNuZrHMFMSrN/SxlKRiexHiJH3zqAsvCsxQuVS7Wwrr+ZOcx9ZyWaWLeshqpdw8fBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T08:49:40.600141Z"},"content_sha256":"d47442cd4e43ca6ee90f1bc787152cb85dcb10581191076c954d36c67f124412","schema_version":"1.0","event_id":"sha256:d47442cd4e43ca6ee90f1bc787152cb85dcb10581191076c954d36c67f124412"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:A254SYP7MW44HHGSJ73MYJ6LP6","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Review of blockchain application with Graph Neural Networks, Graph Convolutional Networks and Convolutional Neural Networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Amy Ancelotti, Claudia Liason","submitted_at":"2024-10-01T17:11:22Z","abstract_excerpt":"This paper reviews the applications of Graph Neural Networks (GNNs), Graph Convolutional Networks (GCNs), and Convolutional Neural Networks (CNNs) in blockchain technology. As the complexity and adoption of blockchain networks continue to grow, traditional analytical methods are proving inadequate in capturing the intricate relationships and dynamic behaviors of decentralized systems. To address these limitations, deep learning models such as GNNs, GCNs, and CNNs offer robust solutions by leveraging the unique graph-based and temporal structures inherent in blockchain architectures. GNNs and G"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.00875","kind":"arxiv","version":1},"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/2410.00875/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":"2026-07-05T09:14:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"tTbWGBdHOKU0MrO3OoR5fe62Fnpglc4cGuGTA0LwRGyMSANKWw62TZ4KGb8cMN31axr+noC0bKIZUdkH5evwDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T08:49:40.600716Z"},"content_sha256":"5e61fb4c2904d8115544f5298a9abd60150a93be32b3370b99a26a52916e73e2","schema_version":"1.0","event_id":"sha256:5e61fb4c2904d8115544f5298a9abd60150a93be32b3370b99a26a52916e73e2"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/A254SYP7MW44HHGSJ73MYJ6LP6/bundle.json","state_url":"https://pith.science/pith/A254SYP7MW44HHGSJ73MYJ6LP6/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/A254SYP7MW44HHGSJ73MYJ6LP6/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":"2026-08-11T08:49:40Z","links":{"resolver":"https://pith.science/pith/A254SYP7MW44HHGSJ73MYJ6LP6","bundle":"https://pith.science/pith/A254SYP7MW44HHGSJ73MYJ6LP6/bundle.json","state":"https://pith.science/pith/A254SYP7MW44HHGSJ73MYJ6LP6/state.json","well_known_bundle":"https://pith.science/.well-known/pith/A254SYP7MW44HHGSJ73MYJ6LP6/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:A254SYP7MW44HHGSJ73MYJ6LP6","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":"4caa7881b15d2c64082272c45f69132112560de3003d0c4d67ea0a00ac6da7a4","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-10-01T17:11:22Z","title_canon_sha256":"ce7b8642fb176accbddd49b0b4cc505fd65b16634c320e37e826e707de63e4df"},"schema_version":"1.0","source":{"id":"2410.00875","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.00875","created_at":"2026-07-05T09:14:24Z"},{"alias_kind":"arxiv_version","alias_value":"2410.00875v1","created_at":"2026-07-05T09:14:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.00875","created_at":"2026-07-05T09:14:24Z"},{"alias_kind":"pith_short_12","alias_value":"A254SYP7MW44","created_at":"2026-07-05T09:14:24Z"},{"alias_kind":"pith_short_16","alias_value":"A254SYP7MW44HHGS","created_at":"2026-07-05T09:14:24Z"},{"alias_kind":"pith_short_8","alias_value":"A254SYP7","created_at":"2026-07-05T09:14:24Z"}],"graph_snapshots":[{"event_id":"sha256:5e61fb4c2904d8115544f5298a9abd60150a93be32b3370b99a26a52916e73e2","target":"graph","created_at":"2026-07-05T09:14:24Z","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/2410.00875/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper reviews the applications of Graph Neural Networks (GNNs), Graph Convolutional Networks (GCNs), and Convolutional Neural Networks (CNNs) in blockchain technology. As the complexity and adoption of blockchain networks continue to grow, traditional analytical methods are proving inadequate in capturing the intricate relationships and dynamic behaviors of decentralized systems. To address these limitations, deep learning models such as GNNs, GCNs, and CNNs offer robust solutions by leveraging the unique graph-based and temporal structures inherent in blockchain architectures. GNNs and G","authors_text":"Amy Ancelotti, Claudia Liason","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-10-01T17:11:22Z","title":"Review of blockchain application with Graph Neural Networks, Graph Convolutional Networks and Convolutional Neural Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.00875","kind":"arxiv","version":1},"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:d47442cd4e43ca6ee90f1bc787152cb85dcb10581191076c954d36c67f124412","target":"record","created_at":"2026-07-05T09:14:24Z","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":"4caa7881b15d2c64082272c45f69132112560de3003d0c4d67ea0a00ac6da7a4","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-10-01T17:11:22Z","title_canon_sha256":"ce7b8642fb176accbddd49b0b4cc505fd65b16634c320e37e826e707de63e4df"},"schema_version":"1.0","source":{"id":"2410.00875","kind":"arxiv","version":1}},"canonical_sha256":"06bbc961ff65b9c39cd24ff6cc27cb7f82b4b393407cafd9c03227a3b48a6e30","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"06bbc961ff65b9c39cd24ff6cc27cb7f82b4b393407cafd9c03227a3b48a6e30","first_computed_at":"2026-07-05T09:14:24.025130Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:14:24.025130Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"aSHySB5uEZC13mtPa/H31dJx+G8dGIJ1XOkbEND2m12AzLhK+wOa1maPQVUmM5kiMH6UCEMkI/uKaV9OWif7CQ==","signature_status":"signed_v1","signed_at":"2026-07-05T09:14:24.025625Z","signed_message":"canonical_sha256_bytes"},"source_id":"2410.00875","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d47442cd4e43ca6ee90f1bc787152cb85dcb10581191076c954d36c67f124412","sha256:5e61fb4c2904d8115544f5298a9abd60150a93be32b3370b99a26a52916e73e2"],"state_sha256":"cd4ea609811969a6d1045d4eead33dfbe4a1ad9c8542a47af9ff45b9ec8b7750"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"744xaje7bicYeGHVbQk8LEyZ/EnVlthh1XIxsJKwHtdllQnTi8ZEb6t7a/94Q3dXExBxfJxmrBpUE9WvHcN5Ag==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-11T08:49:40.605428Z","bundle_sha256":"4df32459bcffcb7c5775cc3d9988635844e633cf07c983defeda97409f8465b1"}}