{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:3LFNIIEX3S2JNWBPNZWZSEB2CQ","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":"080df5f7b47807a8d0d3e6764407cbd85b965b0aad24014436a30061f767245d","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2024-07-02T16:00:55Z","title_canon_sha256":"eb83ae39599406b1ea8f4f516be141dd3077262852dc6d6fd0a00fbbe892e650"},"schema_version":"1.0","source":{"id":"2407.02386","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.02386","created_at":"2026-07-05T09:56:52Z"},{"alias_kind":"arxiv_version","alias_value":"2407.02386v2","created_at":"2026-07-05T09:56:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.02386","created_at":"2026-07-05T09:56:52Z"},{"alias_kind":"pith_short_12","alias_value":"3LFNIIEX3S2J","created_at":"2026-07-05T09:56:52Z"},{"alias_kind":"pith_short_16","alias_value":"3LFNIIEX3S2JNWBP","created_at":"2026-07-05T09:56:52Z"},{"alias_kind":"pith_short_8","alias_value":"3LFNIIEX","created_at":"2026-07-05T09:56:52Z"}],"graph_snapshots":[{"event_id":"sha256:a71f67da4f0e00d69e3ab4472b7c5336d6899f0753f08f86b82011fb295814df","target":"graph","created_at":"2026-07-05T09:56:52Z","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/2407.02386/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Existing open-set recognition (OSR) studies typically assume that each image contains only one class label, with the unknown test set (negative) having a disjoint label space from the known test set (positive), a scenario referred to as full-label shift. This paper introduces the mixed OSR problem, where test images contain multiple class semantics, with both known and unknown classes co-occurring in the negatives, leading to a more complex super-label shift that better reflects real-world scenarios. To tackle this challenge, we propose the OpenSlot framework, based on object-centric learning,","authors_text":"Fei Pan, Guoyuan An, Sung-Eui Yoon, Xu Yin, Yuchi Huo, Zixuan Xie","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2024-07-02T16:00:55Z","title":"OpenSlot: Mixed Open-Set Recognition with Object-Centric Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.02386","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:e2d1c0ed2d70358c799fde1029d07acce9b0bdd039cf2d63a215f8517adc0a34","target":"record","created_at":"2026-07-05T09:56:52Z","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":"080df5f7b47807a8d0d3e6764407cbd85b965b0aad24014436a30061f767245d","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2024-07-02T16:00:55Z","title_canon_sha256":"eb83ae39599406b1ea8f4f516be141dd3077262852dc6d6fd0a00fbbe892e650"},"schema_version":"1.0","source":{"id":"2407.02386","kind":"arxiv","version":2}},"canonical_sha256":"dacad42097dcb496d82f6e6d99103a140e88abbe2c1511a438b66323705c3938","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"dacad42097dcb496d82f6e6d99103a140e88abbe2c1511a438b66323705c3938","first_computed_at":"2026-07-05T09:56:52.803376Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:56:52.803376Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"LL6nDikotUS8f4740Zi8PmIyHoAc1RwWHhz0gCrPlNwwFYxw1MWNpsCzDLG4H4R22dBY4l0RCVOz5HR++1vAAA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:56:52.803819Z","signed_message":"canonical_sha256_bytes"},"source_id":"2407.02386","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e2d1c0ed2d70358c799fde1029d07acce9b0bdd039cf2d63a215f8517adc0a34","sha256:a71f67da4f0e00d69e3ab4472b7c5336d6899f0753f08f86b82011fb295814df"],"state_sha256":"ba64cb274c5a0779b84766dff7e4842b64541f973543f8795b96714dc2ec2e8c"}