{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:NIY6GFRMY2YIBMRXBS7YMANADX","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":"7f8101d3f2daca951668e7afe6672d3939799086e24acfbdd0f77e9b0013a0bc","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-04-13T17:59:40Z","title_canon_sha256":"184d363b930b744c5b4e3b8ec30d7d459600ab2926e5bdd53c8dec6d9442e460"},"schema_version":"1.0","source":{"id":"2304.06718","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2304.06718","created_at":"2026-07-05T06:30:06Z"},{"alias_kind":"arxiv_version","alias_value":"2304.06718v4","created_at":"2026-07-05T06:30:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2304.06718","created_at":"2026-07-05T06:30:06Z"},{"alias_kind":"pith_short_12","alias_value":"NIY6GFRMY2YI","created_at":"2026-07-05T06:30:06Z"},{"alias_kind":"pith_short_16","alias_value":"NIY6GFRMY2YIBMRX","created_at":"2026-07-05T06:30:06Z"},{"alias_kind":"pith_short_8","alias_value":"NIY6GFRM","created_at":"2026-07-05T06:30:06Z"}],"graph_snapshots":[{"event_id":"sha256:317f478e02d6e4c42744e98784095d1d7b796d358b275b9b1528a7bbb94562f1","target":"graph","created_at":"2026-07-05T06:30:06Z","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/2304.06718/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this work, we present SEEM, a promptable and interactive model for segmenting everything everywhere all at once in an image, as shown in Fig.1. In SEEM, we propose a novel decoding mechanism that enables diverse prompting for all types of segmentation tasks, aiming at a universal segmentation interface that behaves like large language models (LLMs). More specifically, SEEM is designed with four desiderata: i) Versatility. We introduce a new visual prompt to unify different spatial queries including points, boxes, scribbles and masks, which can further generalize to a different referring ima","authors_text":"Feng Li, Hao Zhang, Jianfeng Gao, Jianfeng Wang, Jianwei Yang, Lijuan Wang, Linjie Li, Xueyan Zou, Yong Jae Lee","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-04-13T17:59:40Z","title":"Segment Everything Everywhere All at Once"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2304.06718","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":"sha256:9f5e40dcf86a8341c8cbc240e658c69897ff211aa5404c31589c1938489e845e","target":"record","created_at":"2026-07-05T06:30:06Z","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":"7f8101d3f2daca951668e7afe6672d3939799086e24acfbdd0f77e9b0013a0bc","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-04-13T17:59:40Z","title_canon_sha256":"184d363b930b744c5b4e3b8ec30d7d459600ab2926e5bdd53c8dec6d9442e460"},"schema_version":"1.0","source":{"id":"2304.06718","kind":"arxiv","version":4}},"canonical_sha256":"6a31e3162cc6b080b2370cbf8601a01dc92b2fc30982bc2664d7a6905956f54a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6a31e3162cc6b080b2370cbf8601a01dc92b2fc30982bc2664d7a6905956f54a","first_computed_at":"2026-07-05T06:30:06.500161Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:30:06.500161Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"8Ii3nGAc3UtOf1SWN4yDlJmypY/0UozbvYwsuhfqdY2HKhl6W8BWuJZ3PR5Zd2HD1nZH0L6OAXR6lG4ieKAzBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T06:30:06.500573Z","signed_message":"canonical_sha256_bytes"},"source_id":"2304.06718","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9f5e40dcf86a8341c8cbc240e658c69897ff211aa5404c31589c1938489e845e","sha256:317f478e02d6e4c42744e98784095d1d7b796d358b275b9b1528a7bbb94562f1"],"state_sha256":"aa1a3440b24302da1f4cf7e3586dc17d4a5ea79a73fca4e75934e320bbf2a50d"}