{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:6YZLXUIBUHMLYX2JKWPSNOIACG","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":"d7223780fc53264283e2af2b8a16956ce54de3af7ab496807a1aef7d7959203e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-07-20T04:10:31Z","title_canon_sha256":"edb1844d6e705f0a6eccb37d5742898d19d521dae6c03b80b112f5aebdd4784b"},"schema_version":"1.0","source":{"id":"2107.09249","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2107.09249","created_at":"2026-07-05T05:10:52Z"},{"alias_kind":"arxiv_version","alias_value":"2107.09249v4","created_at":"2026-07-05T05:10:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2107.09249","created_at":"2026-07-05T05:10:52Z"},{"alias_kind":"pith_short_12","alias_value":"6YZLXUIBUHML","created_at":"2026-07-05T05:10:52Z"},{"alias_kind":"pith_short_16","alias_value":"6YZLXUIBUHMLYX2J","created_at":"2026-07-05T05:10:52Z"},{"alias_kind":"pith_short_8","alias_value":"6YZLXUIB","created_at":"2026-07-05T05:10:52Z"}],"graph_snapshots":[{"event_id":"sha256:29b72b63e44ba74fda855a91e3223ed1fccf52fe0ee42381761b9139385f5d44","target":"graph","created_at":"2026-07-05T05:10:52Z","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/2107.09249/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Existing long-tailed recognition methods, aiming to train class-balanced models from long-tailed data, generally assume the models would be evaluated on the uniform test class distribution. However, practical test class distributions often violate this assumption (e.g., being either long-tailed or even inversely long-tailed), which may lead existing methods to fail in real applications. In this paper, we study a more practical yet challenging task, called test-agnostic long-tailed recognition, where the training class distribution is long-tailed while the test class distribution is agnostic an","authors_text":"Bryan Hooi, Jiashi Feng, Lanqing Hong, Yifan Zhang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-07-20T04:10:31Z","title":"Self-Supervised Aggregation of Diverse Experts for Test-Agnostic Long-Tailed Recognition"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2107.09249","kind":"arxiv","version":4},"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:b2ad0f5e7986d0085fe38a32b127e11561a535267c16500b15c5e985b5e1d910","target":"record","created_at":"2026-07-05T05:10:52Z","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":"d7223780fc53264283e2af2b8a16956ce54de3af7ab496807a1aef7d7959203e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-07-20T04:10:31Z","title_canon_sha256":"edb1844d6e705f0a6eccb37d5742898d19d521dae6c03b80b112f5aebdd4784b"},"schema_version":"1.0","source":{"id":"2107.09249","kind":"arxiv","version":4}},"canonical_sha256":"f632bbd101a1d8bc5f49559f26b90011bfa226ce7c69ccb5225543998072841b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f632bbd101a1d8bc5f49559f26b90011bfa226ce7c69ccb5225543998072841b","first_computed_at":"2026-07-05T05:10:52.935718Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:10:52.935718Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"JX30a7HJ4cnsxdhIH4wL6ugB0vc8GB2PgQYLn1OOr5JMEHZU4NqP9Z0aGJI7iP/vwVknBh8WtWB+00byHGPiDA==","signature_status":"signed_v1","signed_at":"2026-07-05T05:10:52.936125Z","signed_message":"canonical_sha256_bytes"},"source_id":"2107.09249","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b2ad0f5e7986d0085fe38a32b127e11561a535267c16500b15c5e985b5e1d910","sha256:29b72b63e44ba74fda855a91e3223ed1fccf52fe0ee42381761b9139385f5d44"],"state_sha256":"92ad73a6d89817dff9b529ca49d34e4bfd7e1d55e1062e7916106fd346e89aab"}