{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:LAR2C6NS3Q56AR6B5E7EZMMBC2","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":"a0cbeef37bc02644dcd0c023aeb83c77ce9c4ad1bb61d033abe91cdc08e510ce","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-04-29T11:45:24Z","title_canon_sha256":"9469ab65e1d5d2ee5414442bbddaa7f1a2dc4e7633483aa8e9685369420bc217"},"schema_version":"1.0","source":{"id":"2504.20666","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.20666","created_at":"2026-07-05T10:55:46Z"},{"alias_kind":"arxiv_version","alias_value":"2504.20666v1","created_at":"2026-07-05T10:55:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.20666","created_at":"2026-07-05T10:55:46Z"},{"alias_kind":"pith_short_12","alias_value":"LAR2C6NS3Q56","created_at":"2026-07-05T10:55:46Z"},{"alias_kind":"pith_short_16","alias_value":"LAR2C6NS3Q56AR6B","created_at":"2026-07-05T10:55:46Z"},{"alias_kind":"pith_short_8","alias_value":"LAR2C6NS","created_at":"2026-07-05T10:55:46Z"}],"graph_snapshots":[{"event_id":"sha256:b78aaf5611c25f6f5b8bc47bb3b7eb8351a83ec91315f95bd2a8985b9a33ff73","target":"graph","created_at":"2026-07-05T10:55:46Z","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/2504.20666/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Graph Transformers (GTs) have demonstrated superior performance compared to traditional message-passing graph neural networks in many studies, especially in processing graph data with long-range dependencies. However, GTs tend to suffer from weak inductive bias, overfitting and over-globalizing problems due to the dense attention. In this paper, we introduce SFi-attention, a novel attention mechanism designed to learn sparse pattern by minimizing an energy function based on network flows with l1-norm regularization, to relieve those issues caused by dense attention. Furthermore, SFi-Former is ","authors_text":"Bo Li, Ji Shi, Miao Zhang, Xinming Zhang, Zhonghao Li","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-04-29T11:45:24Z","title":"SFi-Former: Sparse Flow Induced Attention for Graph Transformer"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.20666","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":"sha256:89085596a0597ea4d915e024f98b59c012c4ba5d7f83d136046a3f3190c2a219","target":"record","created_at":"2026-07-05T10:55:46Z","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":"a0cbeef37bc02644dcd0c023aeb83c77ce9c4ad1bb61d033abe91cdc08e510ce","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-04-29T11:45:24Z","title_canon_sha256":"9469ab65e1d5d2ee5414442bbddaa7f1a2dc4e7633483aa8e9685369420bc217"},"schema_version":"1.0","source":{"id":"2504.20666","kind":"arxiv","version":1}},"canonical_sha256":"5823a179b2dc3be047c1e93e4cb18116b38c3fa96d42b1015d824e46e6171377","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5823a179b2dc3be047c1e93e4cb18116b38c3fa96d42b1015d824e46e6171377","first_computed_at":"2026-07-05T10:55:46.680671Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:55:46.680671Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"/oR+4GBy46spaAqGthnRbB2osp+9/ItuHTJ2bJ85s37g8RsWzh6GbjZV30Kz+NfEvahY0WprCHD2MRvPy5ofDg==","signature_status":"signed_v1","signed_at":"2026-07-05T10:55:46.681192Z","signed_message":"canonical_sha256_bytes"},"source_id":"2504.20666","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:89085596a0597ea4d915e024f98b59c012c4ba5d7f83d136046a3f3190c2a219","sha256:b78aaf5611c25f6f5b8bc47bb3b7eb8351a83ec91315f95bd2a8985b9a33ff73"],"state_sha256":"49a937badb45f2e7cad3b4bf8b2ccd41f0716e6f5094ff6eb7f1bab4f8fe6a7c"}