{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:MR254WYZCHQH7IPSM2LSHEAMDN","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":"2760c46c55ccd220255a6a6caf7555db6617c9032b66afc2b4ce524725deee39","cross_cats_sorted":["cs.AI","cs.IR","cs.SI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-08-31T10:12:32Z","title_canon_sha256":"279136d65ceeaeee3143ba0e0df64001f8fecd32ea0244f446f16d2c9e6f6704"},"schema_version":"1.0","source":{"id":"2308.16609","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2308.16609","created_at":"2026-07-05T06:47:56Z"},{"alias_kind":"arxiv_version","alias_value":"2308.16609v2","created_at":"2026-07-05T06:47:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2308.16609","created_at":"2026-07-05T06:47:56Z"},{"alias_kind":"pith_short_12","alias_value":"MR254WYZCHQH","created_at":"2026-07-05T06:47:56Z"},{"alias_kind":"pith_short_16","alias_value":"MR254WYZCHQH7IPS","created_at":"2026-07-05T06:47:56Z"},{"alias_kind":"pith_short_8","alias_value":"MR254WYZ","created_at":"2026-07-05T06:47:56Z"}],"graph_snapshots":[{"event_id":"sha256:7c4efbc85fb9b477f4c733b87573beb974387fce7276280d69cf31427ada275c","target":"graph","created_at":"2026-07-05T06:47:56Z","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/2308.16609/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Graph classification, aiming at learning the graph-level representations for effective class assignments, has received outstanding achievements, which heavily relies on high-quality datasets that have balanced class distribution. In fact, most real-world graph data naturally presents a long-tailed form, where the head classes occupy much more samples than the tail classes, it thus is essential to study the graph-level classification over long-tailed data while still remaining largely unexplored. However, most existing long-tailed learning methods in visions fail to jointly optimize the represe","authors_text":"Luchen Liu, Ming Zhang, Siyu Yi, Wei Ju, Xiao Luo, Yongdao Zhou, Zhengyang Mao","cross_cats":["cs.AI","cs.IR","cs.SI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-08-31T10:12:32Z","title":"Towards Long-Tailed Recognition for Graph Classification via Collaborative Experts"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2308.16609","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":"sha256:1914ca5e4e1550af233c754eba76339a47d5b7704d057ad3d88b27d7dc2b01c7","target":"record","created_at":"2026-07-05T06:47:56Z","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":"2760c46c55ccd220255a6a6caf7555db6617c9032b66afc2b4ce524725deee39","cross_cats_sorted":["cs.AI","cs.IR","cs.SI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-08-31T10:12:32Z","title_canon_sha256":"279136d65ceeaeee3143ba0e0df64001f8fecd32ea0244f446f16d2c9e6f6704"},"schema_version":"1.0","source":{"id":"2308.16609","kind":"arxiv","version":2}},"canonical_sha256":"6475de5b1911e07fa1f2669723900c1b78db3aec2ceef0bf153a342a52f8a7f3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6475de5b1911e07fa1f2669723900c1b78db3aec2ceef0bf153a342a52f8a7f3","first_computed_at":"2026-07-05T06:47:56.475590Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:47:56.475590Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"/u/ENhHasYRzX2gEUyyNYmLdDxghmI74RtwbMM2m0ZIbfxrumQr0eeyZlDkF2FN90dE4mmxWW097ILQ4r1cbBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T06:47:56.476054Z","signed_message":"canonical_sha256_bytes"},"source_id":"2308.16609","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1914ca5e4e1550af233c754eba76339a47d5b7704d057ad3d88b27d7dc2b01c7","sha256:7c4efbc85fb9b477f4c733b87573beb974387fce7276280d69cf31427ada275c"],"state_sha256":"62f3de4ea137a1f4f1016d10dd27196ae0a7926849005f78fc9ed2e115d0e212"}