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not a WRS proof verification", "id": "source-1", "kind": "source_reference", "source": { "citation": "Carion et al.: SAM 3 promptable concept segmentation — official research record", "url": "https://github.com/facebookresearch/sam3" } } ], "origin": "HUMAN_LEGACY", "record_profile": "wrs-local-research-notes-0.1", "record_type": "research_note", "rrp_version": "0.1", "scope": { "description": "One model/task/data contribution, not a separate record per image/video mode. Open-vocabulary concepts and finite evaluation gains do not guarantee every concept can be segmented. Original 2025 report excludes later SAM3.1 updates.", "domain": "Vision, robotics, reasoning and inference systems" }, "sources": [ { "citation": "SAM 3: Segment Anything with Concepts", "url": "https://arxiv.org/abs/2511.16719v1" }, { "citation": "Carion et al.: SAM 3 promptable concept segmentation — official research record", "url": "https://github.com/facebookresearch/sam3" } ], "statement": "# Carion et al.: SAM 3 promptable concept segmentation\n\nUnified text/exemplar-prompted detection, segmentation and video tracking with decoupled recognition/localization, a scalable data engine and the companion SA-Co evaluation benchmark.\n\n## Scientific scope\n\nOne model/task/data contribution, not a separate record per image/video mode. Open-vocabulary concepts and finite evaluation gains do not guarantee every concept can be segmented. Original 2025 report excludes later SAM3.1 updates.\n\n## Reading status\n\nThis is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.\n\n## People and systems\n\nNicolas Carion; Laura Gustafson; Yuan-Ting Hu; Shoubhik Debnath; Ronghang Hu; Didac Suris; Chaitanya Ryali; Kalyan Vasudev Alwala; Haitham Khedr; Andrew Huang; Jie Lei; Tengyu Ma; Baishan Guo; Arpit Kalla; Markus Marks; Joseph Greer; Meng Wang; Peize Sun; Roman Rädle; Triantafyllos Afouras; Effrosyni Mavroudi; Katherine Xu; Tsung-Han Wu; Yu Zhou; Liliane Momeni; Rishi Hazra; Shuangrui Ding; Sagar Vaze; Francois Porcher; Feng Li; Siyuan Li; Aishwarya Kamath; Ho Kei Cheng; Piotr Dollár; Nikhila Ravi; Kate Saenko; Pengchuan Zhang; Christoph Feichtenhofer\n\nSource-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.\n\n\n\n## Original sources\n\n- [SAM 3: Segment Anything with Concepts](https://arxiv.org/abs/2511.16719v1)\n- [Carion et al.: SAM 3 promptable concept segmentation — official research record](https://github.com/facebookresearch/sam3)\n", "summary": "Unified text/exemplar-prompted detection, segmentation and video tracking with decoupled recognition/localization, a scalable data engine and the companion SA-Co evaluation benchmark.", "title": "Carion et al.: SAM 3 promptable concept segmentation" }, "record_id": "urn:uuid:bbd4ddb8-0edc-41b7-ad08-0bedb8e17b0f", "version": 1, "source_ref": { "record_id": "urn:uuid:bbd4ddb8-0edc-41b7-ad08-0bedb8e17b0f", "version": 1, "content_hash": "sha256:7ef342d77ab2da24174941d42db8ae90c17e1482573fcd63db3653349f79cda0" }, "export_view": "wrs-public-editorial-view-1", "public_view_hash": "sha256:4d7233d7e535bea4b420578112a39ad1ccd68f47a405eaac28171b976e1a54f4" }, "target": { "record_id": "urn:uuid:bbd4ddb8-0edc-41b7-ad08-0bedb8e17b0f", "version": 1, "content_hash": "sha256:7ef342d77ab2da24174941d42db8ae90c17e1482573fcd63db3653349f79cda0" }, "published_grade": { "profile": "wrs-published-grade-1", "edition": "2026-10-28.1", "id": "carion-et-al-sam3-concepts-2025", "entry_id": "carion-et-al-sam3-concepts-2025", "revision": 1, "title": "Carion et al.: SAM 3 promptable concept segmentation", "context": "Vision, robotics, reasoning and inference systems", "track": "Human-designed research method or resource", "band": "B", "modifier": "+", "status": "PROVISIONAL_EDITORIAL", "assessed_on": "2026-10-16", "evidence_cutoff": "2026-10-16", "achievement_state": "SUPPORTED_SCOPED_RESULT", "what_changed": "Unified text/exemplar-prompted detection, segmentation and video tracking with decoupled recognition/localization, a scalable data engine and the companion SA-Co evaluation benchmark.", "scope": "Unified text/exemplar-prompted detection, segmentation and video tracking with decoupled recognition/localization, a scalable data engine and the companion SA-Co evaluation benchmark. 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