{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:C3YTF7PCSNLT3CTN33SAKFLYL2","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":"74cd27b8c8d645a2a29ca1a971970a43d7c499c94b70eb19bdddb53ef0fe6f2d","cross_cats_sorted":["cs.SI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-03-24T13:10:09Z","title_canon_sha256":"77508c0f239a358a2cd04c6fa9522f6e7a28f04e7497dea9f3fbf11998bd5f05"},"schema_version":"1.0","source":{"id":"2403.16137","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.16137","created_at":"2026-07-05T11:02:38Z"},{"alias_kind":"arxiv_version","alias_value":"2403.16137v3","created_at":"2026-07-05T11:02:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.16137","created_at":"2026-07-05T11:02:38Z"},{"alias_kind":"pith_short_12","alias_value":"C3YTF7PCSNLT","created_at":"2026-07-05T11:02:38Z"},{"alias_kind":"pith_short_16","alias_value":"C3YTF7PCSNLT3CTN","created_at":"2026-07-05T11:02:38Z"},{"alias_kind":"pith_short_8","alias_value":"C3YTF7PC","created_at":"2026-07-05T11:02:38Z"}],"graph_snapshots":[{"event_id":"sha256:f7fa0d63a5bce809baa0f36a53c34a9d30ce9da72cbcefc93cc4dd039f913863","target":"graph","created_at":"2026-07-05T11:02:38Z","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/2403.16137/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Graph self-supervised learning (SSL) is now a go-to method for pre-training graph foundation models (GFMs). There is a wide variety of knowledge patterns embedded in the graph data, such as node properties and clusters, which are crucial to learning generalized representations for GFMs. However, existing surveys of GFMs have several shortcomings: they lack comprehensiveness regarding the most recent progress, have unclear categorization of self-supervised methods, and take a limited architecture-based perspective that is restricted to only certain types of graph models. As the ultimate goal of","authors_text":"Ruixuan Li, Rui Zhang, Yixin Su, Yixiong Zou, Yuhua Li, Ziwen Zhao","cross_cats":["cs.SI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-03-24T13:10:09Z","title":"A Survey on Self-Supervised Graph Foundation Models: Knowledge-Based Perspective"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.16137","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:c9436bda7888bf9a5fb3dc6b186d0141342f81780160f7efb19cd46f6b84efb5","target":"record","created_at":"2026-07-05T11:02:38Z","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":"74cd27b8c8d645a2a29ca1a971970a43d7c499c94b70eb19bdddb53ef0fe6f2d","cross_cats_sorted":["cs.SI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-03-24T13:10:09Z","title_canon_sha256":"77508c0f239a358a2cd04c6fa9522f6e7a28f04e7497dea9f3fbf11998bd5f05"},"schema_version":"1.0","source":{"id":"2403.16137","kind":"arxiv","version":3}},"canonical_sha256":"16f132fde293573d8a6ddee40515785ebdb224ba8b3b7179e4e68a31339539f4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"16f132fde293573d8a6ddee40515785ebdb224ba8b3b7179e4e68a31339539f4","first_computed_at":"2026-07-05T11:02:38.362340Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:02:38.362340Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"FMcQ+zPqYzF2b3q/wZxdffQW+ZO5S4UJbaA17QHAnQrhSJ+jOqU5gGFcJZRHoeaeIclF3Dj8McQM+UtKotn0CA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:02:38.362808Z","signed_message":"canonical_sha256_bytes"},"source_id":"2403.16137","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c9436bda7888bf9a5fb3dc6b186d0141342f81780160f7efb19cd46f6b84efb5","sha256:f7fa0d63a5bce809baa0f36a53c34a9d30ce9da72cbcefc93cc4dd039f913863"],"state_sha256":"32cb9a78e91c65b1353bf4a5ea90cefd6da1ea882a29aaf3b9de6ed205fa31a3"}