{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:6OM6OF6SYSPXAVV7UCO6HM77YK","short_pith_number":"pith:6OM6OF6S","canonical_record":{"source":{"id":"2409.08580","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-09-13T06:59:10Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"5dcb69f331afea592ed1b9502e658a0448acbb15f34d32cc6f94fcb7099edbd7","abstract_canon_sha256":"bf3e9f14b333941797cab84b51a07578971c8877220453942482851ccae5c6d7"},"schema_version":"1.0"},"canonical_sha256":"f399e717d2c49f7056bfa09de3b3ffc288370a306ea378ffa4a4a3b977c08242","source":{"kind":"arxiv","id":"2409.08580","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.08580","created_at":"2026-07-05T09:06:33Z"},{"alias_kind":"arxiv_version","alias_value":"2409.08580v1","created_at":"2026-07-05T09:06:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.08580","created_at":"2026-07-05T09:06:33Z"},{"alias_kind":"pith_short_12","alias_value":"6OM6OF6SYSPX","created_at":"2026-07-05T09:06:33Z"},{"alias_kind":"pith_short_16","alias_value":"6OM6OF6SYSPXAVV7","created_at":"2026-07-05T09:06:33Z"},{"alias_kind":"pith_short_8","alias_value":"6OM6OF6S","created_at":"2026-07-05T09:06:33Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:6OM6OF6SYSPXAVV7UCO6HM77YK","target":"record","payload":{"canonical_record":{"source":{"id":"2409.08580","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-09-13T06:59:10Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"5dcb69f331afea592ed1b9502e658a0448acbb15f34d32cc6f94fcb7099edbd7","abstract_canon_sha256":"bf3e9f14b333941797cab84b51a07578971c8877220453942482851ccae5c6d7"},"schema_version":"1.0"},"canonical_sha256":"f399e717d2c49f7056bfa09de3b3ffc288370a306ea378ffa4a4a3b977c08242","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:06:33.522943Z","signature_b64":"tYDJM/KzfyO1l22U/8Zuj5f9ve+lEBxm6hOZ+qZ/m/kuoKLEiHPFMtzeVgz+olSf1+esS2hU8mcy7nTEsQjhCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f399e717d2c49f7056bfa09de3b3ffc288370a306ea378ffa4a4a3b977c08242","last_reissued_at":"2026-07-05T09:06:33.522569Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:06:33.522569Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2409.08580","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":"2026-07-05T09:06:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"f4N48Guu3aZ4EsTV42yIF39ejJTy3Nxcl107vx0qqA6OhQayvjAadhzXKLqTujomJwXC8gcWi3P+X1wx1hoqDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T13:04:15.946199Z"},"content_sha256":"c4a25663683b763ac5a1faad26498827229e78051222349f37e30408ef4e998f","schema_version":"1.0","event_id":"sha256:c4a25663683b763ac5a1faad26498827229e78051222349f37e30408ef4e998f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:6OM6OF6SYSPXAVV7UCO6HM77YK","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Molecular Graph Representation Learning via Structural Similarity Information","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.LG","authors_text":"Chengyu Yao, Fengge Wu, Haiming Chen, Hang Gao, Hong Huang, Junsuo Zhao","submitted_at":"2024-09-13T06:59:10Z","abstract_excerpt":"Graph Neural Networks (GNNs) have been widely employed for feature representation learning in molecular graphs. Therefore, it is crucial to enhance the expressiveness of feature representation to ensure the effectiveness of GNNs. However, a significant portion of current research primarily focuses on the structural features within individual molecules, often overlooking the structural similarity between molecules, which is a crucial aspect encapsulating rich information on the relationship between molecular properties and structural characteristics. Thus, these approaches fail to capture the r"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.08580","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/2409.08580/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":"2026-07-05T09:06:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bqOe1dBLEeBwKp5hPRa53bM4WtePUdJJufIYt06vH7JmtzLv4wwqI7KDH62GUD1VsbGSw134DG7KTuLFu7REBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T13:04:15.946725Z"},"content_sha256":"16dc0fd4f9615adfd022626b5e2d5d95feddbc8246dc917c009edd4ae84abdb6","schema_version":"1.0","event_id":"sha256:16dc0fd4f9615adfd022626b5e2d5d95feddbc8246dc917c009edd4ae84abdb6"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/6OM6OF6SYSPXAVV7UCO6HM77YK/bundle.json","state_url":"https://pith.science/pith/6OM6OF6SYSPXAVV7UCO6HM77YK/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/6OM6OF6SYSPXAVV7UCO6HM77YK/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":"2026-07-07T13:04:15Z","links":{"resolver":"https://pith.science/pith/6OM6OF6SYSPXAVV7UCO6HM77YK","bundle":"https://pith.science/pith/6OM6OF6SYSPXAVV7UCO6HM77YK/bundle.json","state":"https://pith.science/pith/6OM6OF6SYSPXAVV7UCO6HM77YK/state.json","well_known_bundle":"https://pith.science/.well-known/pith/6OM6OF6SYSPXAVV7UCO6HM77YK/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:6OM6OF6SYSPXAVV7UCO6HM77YK","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":"bf3e9f14b333941797cab84b51a07578971c8877220453942482851ccae5c6d7","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-09-13T06:59:10Z","title_canon_sha256":"5dcb69f331afea592ed1b9502e658a0448acbb15f34d32cc6f94fcb7099edbd7"},"schema_version":"1.0","source":{"id":"2409.08580","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.08580","created_at":"2026-07-05T09:06:33Z"},{"alias_kind":"arxiv_version","alias_value":"2409.08580v1","created_at":"2026-07-05T09:06:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.08580","created_at":"2026-07-05T09:06:33Z"},{"alias_kind":"pith_short_12","alias_value":"6OM6OF6SYSPX","created_at":"2026-07-05T09:06:33Z"},{"alias_kind":"pith_short_16","alias_value":"6OM6OF6SYSPXAVV7","created_at":"2026-07-05T09:06:33Z"},{"alias_kind":"pith_short_8","alias_value":"6OM6OF6S","created_at":"2026-07-05T09:06:33Z"}],"graph_snapshots":[{"event_id":"sha256:16dc0fd4f9615adfd022626b5e2d5d95feddbc8246dc917c009edd4ae84abdb6","target":"graph","created_at":"2026-07-05T09:06:33Z","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/2409.08580/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Graph Neural Networks (GNNs) have been widely employed for feature representation learning in molecular graphs. Therefore, it is crucial to enhance the expressiveness of feature representation to ensure the effectiveness of GNNs. However, a significant portion of current research primarily focuses on the structural features within individual molecules, often overlooking the structural similarity between molecules, which is a crucial aspect encapsulating rich information on the relationship between molecular properties and structural characteristics. Thus, these approaches fail to capture the r","authors_text":"Chengyu Yao, Fengge Wu, Haiming Chen, Hang Gao, Hong Huang, Junsuo Zhao","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-09-13T06:59:10Z","title":"Molecular Graph Representation Learning via Structural Similarity Information"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.08580","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:c4a25663683b763ac5a1faad26498827229e78051222349f37e30408ef4e998f","target":"record","created_at":"2026-07-05T09:06:33Z","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":"bf3e9f14b333941797cab84b51a07578971c8877220453942482851ccae5c6d7","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-09-13T06:59:10Z","title_canon_sha256":"5dcb69f331afea592ed1b9502e658a0448acbb15f34d32cc6f94fcb7099edbd7"},"schema_version":"1.0","source":{"id":"2409.08580","kind":"arxiv","version":1}},"canonical_sha256":"f399e717d2c49f7056bfa09de3b3ffc288370a306ea378ffa4a4a3b977c08242","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f399e717d2c49f7056bfa09de3b3ffc288370a306ea378ffa4a4a3b977c08242","first_computed_at":"2026-07-05T09:06:33.522569Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:06:33.522569Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"tYDJM/KzfyO1l22U/8Zuj5f9ve+lEBxm6hOZ+qZ/m/kuoKLEiHPFMtzeVgz+olSf1+esS2hU8mcy7nTEsQjhCg==","signature_status":"signed_v1","signed_at":"2026-07-05T09:06:33.522943Z","signed_message":"canonical_sha256_bytes"},"source_id":"2409.08580","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c4a25663683b763ac5a1faad26498827229e78051222349f37e30408ef4e998f","sha256:16dc0fd4f9615adfd022626b5e2d5d95feddbc8246dc917c009edd4ae84abdb6"],"state_sha256":"e4954b3aac1ea4f0aabed64001a90bea89e699c3ddf24e975070d4fa595717b1"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5/y3o7Bmyl9H+v9Omw3Bve4SbiRRZMgr15ppUWEj6GWzMEbjekFvmE6dMYWN9opKxO/uxH91tc6HnnqBbosvBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T13:04:15.949458Z","bundle_sha256":"c60f77b1bffe51f1525851383cad8676aa80fcfec20b4a87f09e66f8dfa7d482"}}