{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:PSG7TXV37PIIUWG3HL7KCQPTFJ","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":"a70fe15b412a53ead5e1281c17355dbae7f6e78bcc5cb6ac7af56a830611c024","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-03-29T17:58:39Z","title_canon_sha256":"259a76592b913e6bb4719bdf7da84919b0b6f28215327563f02993ca11ca4ae6"},"schema_version":"1.0","source":{"id":"2303.16891","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2303.16891","created_at":"2026-07-05T05:56:11Z"},{"alias_kind":"arxiv_version","alias_value":"2303.16891v1","created_at":"2026-07-05T05:56:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2303.16891","created_at":"2026-07-05T05:56:11Z"},{"alias_kind":"pith_short_12","alias_value":"PSG7TXV37PII","created_at":"2026-07-05T05:56:11Z"},{"alias_kind":"pith_short_16","alias_value":"PSG7TXV37PIIUWG3","created_at":"2026-07-05T05:56:11Z"},{"alias_kind":"pith_short_8","alias_value":"PSG7TXV3","created_at":"2026-07-05T05:56:11Z"}],"graph_snapshots":[{"event_id":"sha256:5b1f05edd71f1647ee8e26a4e5ced46fd300a554014ffaa0484d811165658721","target":"graph","created_at":"2026-07-05T05:56:11Z","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/2303.16891/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Existing instance segmentation models learn task-specific information using manual mask annotations from base (training) categories. These mask annotations require tremendous human effort, limiting the scalability to annotate novel (new) categories. To alleviate this problem, Open-Vocabulary (OV) methods leverage large-scale image-caption pairs and vision-language models to learn novel categories. In summary, an OV method learns task-specific information using strong supervision from base annotations and novel category information using weak supervision from image-captions pairs. This differen","authors_text":"Can Qin, Chen Xing, Juan Carlos Niebles, Mingfei Gao, Ning Yu, Ran Xu, Vibashan VS, Vishal M. Patel","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-03-29T17:58:39Z","title":"Mask-free OVIS: Open-Vocabulary Instance Segmentation without Manual Mask Annotations"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2303.16891","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":"sha256:9267df291060b560ee8f74877427d275e0d73c537f7e5feb578e69f10fff3b98","target":"record","created_at":"2026-07-05T05:56:11Z","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":"a70fe15b412a53ead5e1281c17355dbae7f6e78bcc5cb6ac7af56a830611c024","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-03-29T17:58:39Z","title_canon_sha256":"259a76592b913e6bb4719bdf7da84919b0b6f28215327563f02993ca11ca4ae6"},"schema_version":"1.0","source":{"id":"2303.16891","kind":"arxiv","version":1}},"canonical_sha256":"7c8df9debbfbd08a58db3afea141f32a49c5ba3c98f1d22fa984939b79f47b63","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7c8df9debbfbd08a58db3afea141f32a49c5ba3c98f1d22fa984939b79f47b63","first_computed_at":"2026-07-05T05:56:11.683042Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:56:11.683042Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"BmHD3apBxyxy9Kctkk1L2WZH4NrSDY5LakwFL5x8k/8GYDcrWfLWcwxMvXWplHhlLnRkyg+0agGhD/1/r6sXCg==","signature_status":"signed_v1","signed_at":"2026-07-05T05:56:11.683544Z","signed_message":"canonical_sha256_bytes"},"source_id":"2303.16891","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9267df291060b560ee8f74877427d275e0d73c537f7e5feb578e69f10fff3b98","sha256:5b1f05edd71f1647ee8e26a4e5ced46fd300a554014ffaa0484d811165658721"],"state_sha256":"2ac24eac49c946445a13b325fafee60375d7eaa58ede8a7a80f9b57d364a0ea6"}