{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:HROHKUWSFJZIE357IH34UWBYNS","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":"eba1141f85ef583e5d8ec72775913ce47a1eaa8b84c43e96ef803183e356e3c3","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-08-20T23:45:11Z","title_canon_sha256":"310a6f45bc5e4e8794c5782c328ad67b7ca8b4ee868b7f5f758c64c28f1c93e6"},"schema_version":"1.0","source":{"id":"2408.11243","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2408.11243","created_at":"2026-07-05T08:59:32Z"},{"alias_kind":"arxiv_version","alias_value":"2408.11243v2","created_at":"2026-07-05T08:59:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.11243","created_at":"2026-07-05T08:59:32Z"},{"alias_kind":"pith_short_12","alias_value":"HROHKUWSFJZI","created_at":"2026-07-05T08:59:32Z"},{"alias_kind":"pith_short_16","alias_value":"HROHKUWSFJZIE357","created_at":"2026-07-05T08:59:32Z"},{"alias_kind":"pith_short_8","alias_value":"HROHKUWS","created_at":"2026-07-05T08:59:32Z"}],"graph_snapshots":[{"event_id":"sha256:4dc3188565b5d2ee9e630fe851633cca23bbc6550c864aaaa2a9d3994bfeb03c","target":"graph","created_at":"2026-07-05T08:59:32Z","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/2408.11243/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Self-supervised learning~(SSL) is essential to obtain foundation models in NLP and CV domains via effectively leveraging knowledge in large-scale unlabeled data. The reason for its success is that a suitable SSL design can help the model to follow the neural scaling law, i.e., the performance consistently improves with increasing model and dataset sizes. However, it remains a mystery whether existing SSL in the graph domain can follow the scaling behavior toward building Graph Foundation Models~(GFMs) with large-scale pre-training. In this study, we examine whether existing graph SSL technique","authors_text":"Chunlin Feng, Haitao Mao, Jingzhe Liu, Qian Ma, Yao Ma, Yihan Shao, Yu Song, Zhehua Zhang","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-08-20T23:45:11Z","title":"Do Neural Scaling Laws Exist on Graph Self-Supervised Learning?"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.11243","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:f01099217e84cf564a7db290a47271c47e509c4756b6ef9d7eb736e05d52b0ca","target":"record","created_at":"2026-07-05T08:59:32Z","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":"eba1141f85ef583e5d8ec72775913ce47a1eaa8b84c43e96ef803183e356e3c3","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-08-20T23:45:11Z","title_canon_sha256":"310a6f45bc5e4e8794c5782c328ad67b7ca8b4ee868b7f5f758c64c28f1c93e6"},"schema_version":"1.0","source":{"id":"2408.11243","kind":"arxiv","version":2}},"canonical_sha256":"3c5c7552d22a72826fbf41f7ca58386c91ca4ddab5139411968d2f26269e1c69","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3c5c7552d22a72826fbf41f7ca58386c91ca4ddab5139411968d2f26269e1c69","first_computed_at":"2026-07-05T08:59:32.717949Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:59:32.717949Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"tEzDOpmco6P+Hfw4Z5iQrxtYjLBGDtsStpe4n6r+z8S5sYFEcrPDfq1U+89Z2o+s00tCS2M8E+mvhwqQehSqBw==","signature_status":"signed_v1","signed_at":"2026-07-05T08:59:32.718459Z","signed_message":"canonical_sha256_bytes"},"source_id":"2408.11243","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f01099217e84cf564a7db290a47271c47e509c4756b6ef9d7eb736e05d52b0ca","sha256:4dc3188565b5d2ee9e630fe851633cca23bbc6550c864aaaa2a9d3994bfeb03c"],"state_sha256":"ea1a729c39412e7baa964c67c0a7ae0ebe6648f358e9d143d1eb00b29981fce4"}