{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:XDTHMBMSJ4M47HOY6573O74RPS","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":"f3cde7d8afeab98cf2c5485fae103edfa72541769a6ef76e2b3c3db2d53b69bd","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-02-23T10:55:19Z","title_canon_sha256":"6b2dfa58db1efbe68b8724273723e8160a348c1d7c898539103df78c45c11c3a"},"schema_version":"1.0","source":{"id":"2502.16533","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.16533","created_at":"2026-07-05T10:20:45Z"},{"alias_kind":"arxiv_version","alias_value":"2502.16533v2","created_at":"2026-07-05T10:20:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.16533","created_at":"2026-07-05T10:20:45Z"},{"alias_kind":"pith_short_12","alias_value":"XDTHMBMSJ4M4","created_at":"2026-07-05T10:20:45Z"},{"alias_kind":"pith_short_16","alias_value":"XDTHMBMSJ4M47HOY","created_at":"2026-07-05T10:20:45Z"},{"alias_kind":"pith_short_8","alias_value":"XDTHMBMS","created_at":"2026-07-05T10:20:45Z"}],"graph_snapshots":[{"event_id":"sha256:f3276f056b39a26d0664e1d02d470939ef23755ae35b2009603019f68790a766","target":"graph","created_at":"2026-07-05T10:20:45Z","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/2502.16533/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Graph Transformers (GTs) have demonstrated a strong capability in modeling graph structures by addressing the intrinsic limitations of graph neural networks (GNNs), such as over-smoothing and over-squashing. Recent studies have proposed diverse architectures, enhanced explainability, and practical applications for Graph Transformers. In light of these rapid developments, we conduct a comprehensive review of Graph Transformers, covering aspects such as their architectures, theoretical foundations, and applications within this survey. We categorize the architecture of Graph Transformers accordin","authors_text":"Chaohao Yuan, Deli Zhao, Ercan Engin Kuruoglu, Hong Cheng, Kangfei Zhao, Liang Wang, Tingyang Xu, Wenbing Huang, Yu Rong","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-02-23T10:55:19Z","title":"A Survey of Graph Transformers: Architectures, Theories and Applications"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.16533","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":"sha256:0ca81e23c644231eaca484cb042095b144dabdd0032e588c2d7639cd2d70bfb3","target":"record","created_at":"2026-07-05T10:20:45Z","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":"f3cde7d8afeab98cf2c5485fae103edfa72541769a6ef76e2b3c3db2d53b69bd","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-02-23T10:55:19Z","title_canon_sha256":"6b2dfa58db1efbe68b8724273723e8160a348c1d7c898539103df78c45c11c3a"},"schema_version":"1.0","source":{"id":"2502.16533","kind":"arxiv","version":2}},"canonical_sha256":"b8e67605924f19cf9dd8f77fb77f917cbdc3d82c7a87ba80bf787de0dfc71427","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b8e67605924f19cf9dd8f77fb77f917cbdc3d82c7a87ba80bf787de0dfc71427","first_computed_at":"2026-07-05T10:20:45.271487Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:20:45.271487Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"KPXaUE71YCw+n7MB+pP4UjMQ6UShmMBi6eBwdBIbxWs/CPzPpcKno7z2vPc+E7D0BYdz+w9sMOurrcHdUaxMCA==","signature_status":"signed_v1","signed_at":"2026-07-05T10:20:45.271990Z","signed_message":"canonical_sha256_bytes"},"source_id":"2502.16533","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0ca81e23c644231eaca484cb042095b144dabdd0032e588c2d7639cd2d70bfb3","sha256:f3276f056b39a26d0664e1d02d470939ef23755ae35b2009603019f68790a766"],"state_sha256":"e6714823caf72a5948dd7d0eef17446141d7274e60ce1e035ad06f24370d9e76"}