{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:JN4U3T75RON2FLYW2F3P4JIFSH","short_pith_number":"pith:JN4U3T75","canonical_record":{"source":{"id":"1912.09893","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-12-20T15:40:50Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"0ce737f84435c69a589d4db6e7be1b3f805abb771c6997aac958c57bdba9b527","abstract_canon_sha256":"9d433fed5e1690f89ad576cde27e2ae8a4d50e522bd4f3815a479e2258cb06b7"},"schema_version":"1.0"},"canonical_sha256":"4b794dcffd8b9ba2af16d176fe250591f5d1303fad4d96f54ded70bc242a07f1","source":{"kind":"arxiv","id":"1912.09893","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1912.09893","created_at":"2026-07-05T03:57:59Z"},{"alias_kind":"arxiv_version","alias_value":"1912.09893v3","created_at":"2026-07-05T03:57:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1912.09893","created_at":"2026-07-05T03:57:59Z"},{"alias_kind":"pith_short_12","alias_value":"JN4U3T75RON2","created_at":"2026-07-05T03:57:59Z"},{"alias_kind":"pith_short_16","alias_value":"JN4U3T75RON2FLYW","created_at":"2026-07-05T03:57:59Z"},{"alias_kind":"pith_short_8","alias_value":"JN4U3T75","created_at":"2026-07-05T03:57:59Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:JN4U3T75RON2FLYW2F3P4JIFSH","target":"record","payload":{"canonical_record":{"source":{"id":"1912.09893","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-12-20T15:40:50Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"0ce737f84435c69a589d4db6e7be1b3f805abb771c6997aac958c57bdba9b527","abstract_canon_sha256":"9d433fed5e1690f89ad576cde27e2ae8a4d50e522bd4f3815a479e2258cb06b7"},"schema_version":"1.0"},"canonical_sha256":"4b794dcffd8b9ba2af16d176fe250591f5d1303fad4d96f54ded70bc242a07f1","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:57:59.573207Z","signature_b64":"Zyte2951B4w5gDxnRKa/Mxdv5H2l+dZMo8huo3W+82Tlb14aiDqAZXVkcSXupGw9sUIe9VY0K1M+JgJbcgfYBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4b794dcffd8b9ba2af16d176fe250591f5d1303fad4d96f54ded70bc242a07f1","last_reissued_at":"2026-07-05T03:57:59.572749Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:57:59.572749Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1912.09893","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":"2026-07-05T03:57:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cBhb3o0q+c6fuVg2rmop9AqszNJmINiXpUAfXDcLNE9l1YezgaHJSColVTmXaTPOO0GuZVrQJd690tzONfgDCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T22:14:36.621060Z"},"content_sha256":"4f379c2b41b93bd7017ad64ad846bd1f9eeefcbf77571f6ade6e98f9a8390e31","schema_version":"1.0","event_id":"sha256:4f379c2b41b93bd7017ad64ad846bd1f9eeefcbf77571f6ade6e98f9a8390e31"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:JN4U3T75RON2FLYW2F3P4JIFSH","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Fair Comparison of Graph Neural Networks for Graph Classification","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.ML"],"primary_cat":"cs.LG","authors_text":"Alessio Micheli, Davide Bacciu, Federico Errica, Marco Podda","submitted_at":"2019-12-20T15:40:50Z","abstract_excerpt":"Experimental reproducibility and replicability are critical topics in machine learning. Authors have often raised concerns about their lack in scientific publications to improve the quality of the field. Recently, the graph representation learning field has attracted the attention of a wide research community, which resulted in a large stream of works. As such, several Graph Neural Network models have been developed to effectively tackle graph classification. However, experimental procedures often lack rigorousness and are hardly reproducible. Motivated by this, we provide an overview of commo"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1912.09893","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/1912.09893/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":"2026-07-05T03:57:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"N36pppRE5lW0yQ4zYwRSoDCaMuPI5rO+vNxZiCOps2leQNJDDj8r+QV9QXSWvbuCQlc3nwcsehkM+HJEGzmWCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T22:14:36.621622Z"},"content_sha256":"6855d42f4fb5f0c83a62d83fd0ec520f855f0db8ad2fd0aa09c6afbb30f826f7","schema_version":"1.0","event_id":"sha256:6855d42f4fb5f0c83a62d83fd0ec520f855f0db8ad2fd0aa09c6afbb30f826f7"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/JN4U3T75RON2FLYW2F3P4JIFSH/bundle.json","state_url":"https://pith.science/pith/JN4U3T75RON2FLYW2F3P4JIFSH/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/JN4U3T75RON2FLYW2F3P4JIFSH/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":"2026-08-07T22:14:36Z","links":{"resolver":"https://pith.science/pith/JN4U3T75RON2FLYW2F3P4JIFSH","bundle":"https://pith.science/pith/JN4U3T75RON2FLYW2F3P4JIFSH/bundle.json","state":"https://pith.science/pith/JN4U3T75RON2FLYW2F3P4JIFSH/state.json","well_known_bundle":"https://pith.science/.well-known/pith/JN4U3T75RON2FLYW2F3P4JIFSH/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:JN4U3T75RON2FLYW2F3P4JIFSH","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":"9d433fed5e1690f89ad576cde27e2ae8a4d50e522bd4f3815a479e2258cb06b7","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-12-20T15:40:50Z","title_canon_sha256":"0ce737f84435c69a589d4db6e7be1b3f805abb771c6997aac958c57bdba9b527"},"schema_version":"1.0","source":{"id":"1912.09893","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1912.09893","created_at":"2026-07-05T03:57:59Z"},{"alias_kind":"arxiv_version","alias_value":"1912.09893v3","created_at":"2026-07-05T03:57:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1912.09893","created_at":"2026-07-05T03:57:59Z"},{"alias_kind":"pith_short_12","alias_value":"JN4U3T75RON2","created_at":"2026-07-05T03:57:59Z"},{"alias_kind":"pith_short_16","alias_value":"JN4U3T75RON2FLYW","created_at":"2026-07-05T03:57:59Z"},{"alias_kind":"pith_short_8","alias_value":"JN4U3T75","created_at":"2026-07-05T03:57:59Z"}],"graph_snapshots":[{"event_id":"sha256:6855d42f4fb5f0c83a62d83fd0ec520f855f0db8ad2fd0aa09c6afbb30f826f7","target":"graph","created_at":"2026-07-05T03:57:59Z","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/1912.09893/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Experimental reproducibility and replicability are critical topics in machine learning. Authors have often raised concerns about their lack in scientific publications to improve the quality of the field. Recently, the graph representation learning field has attracted the attention of a wide research community, which resulted in a large stream of works. As such, several Graph Neural Network models have been developed to effectively tackle graph classification. However, experimental procedures often lack rigorousness and are hardly reproducible. Motivated by this, we provide an overview of commo","authors_text":"Alessio Micheli, Davide Bacciu, Federico Errica, Marco Podda","cross_cats":["stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-12-20T15:40:50Z","title":"A Fair Comparison of Graph Neural Networks for Graph Classification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1912.09893","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":"sha256:4f379c2b41b93bd7017ad64ad846bd1f9eeefcbf77571f6ade6e98f9a8390e31","target":"record","created_at":"2026-07-05T03:57:59Z","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":"9d433fed5e1690f89ad576cde27e2ae8a4d50e522bd4f3815a479e2258cb06b7","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-12-20T15:40:50Z","title_canon_sha256":"0ce737f84435c69a589d4db6e7be1b3f805abb771c6997aac958c57bdba9b527"},"schema_version":"1.0","source":{"id":"1912.09893","kind":"arxiv","version":3}},"canonical_sha256":"4b794dcffd8b9ba2af16d176fe250591f5d1303fad4d96f54ded70bc242a07f1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4b794dcffd8b9ba2af16d176fe250591f5d1303fad4d96f54ded70bc242a07f1","first_computed_at":"2026-07-05T03:57:59.572749Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:57:59.572749Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Zyte2951B4w5gDxnRKa/Mxdv5H2l+dZMo8huo3W+82Tlb14aiDqAZXVkcSXupGw9sUIe9VY0K1M+JgJbcgfYBg==","signature_status":"signed_v1","signed_at":"2026-07-05T03:57:59.573207Z","signed_message":"canonical_sha256_bytes"},"source_id":"1912.09893","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4f379c2b41b93bd7017ad64ad846bd1f9eeefcbf77571f6ade6e98f9a8390e31","sha256:6855d42f4fb5f0c83a62d83fd0ec520f855f0db8ad2fd0aa09c6afbb30f826f7"],"state_sha256":"c6d7368f0bf75258500b5e33f2a9282bc812139eebcdf19e1421b0eff83e50b4"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kl8MsoPqimhotTQLwCL7mb+ZZBXgeIBTYddv7pyRiQduaSOMAsvwwQmjqotoZWsJgP99oRLRn8mJcI57Ax1tAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T22:14:36.626172Z","bundle_sha256":"e7e4b3654a16292aa705859a19ed2682d19b7831a54eaccb057b4c1ce7ba2269"}}