{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:6F7ZLPITT6ZFKAOA2SUDQPM77G","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":"8729fd16b7fa969cc22590c70d4edd25d6d13a9a375cc14b8954462b63e5a4e2","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2025-09-03T02:46:48Z","title_canon_sha256":"21e1eefe760face2368a4ef3e16c4c0b4f59a5ab1f1143bda1b9025a75b313fb"},"schema_version":"1.0","source":{"id":"2509.05352","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2509.05352","created_at":"2026-07-05T12:05:45Z"},{"alias_kind":"arxiv_version","alias_value":"2509.05352v1","created_at":"2026-07-05T12:05:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.05352","created_at":"2026-07-05T12:05:45Z"},{"alias_kind":"pith_short_12","alias_value":"6F7ZLPITT6ZF","created_at":"2026-07-05T12:05:45Z"},{"alias_kind":"pith_short_16","alias_value":"6F7ZLPITT6ZFKAOA","created_at":"2026-07-05T12:05:45Z"},{"alias_kind":"pith_short_8","alias_value":"6F7ZLPIT","created_at":"2026-07-05T12:05:45Z"}],"graph_snapshots":[{"event_id":"sha256:cb9930c73555c97009cc901b9c1a2827902bdba3b40f89f5c85cc4fa24ba26e4","target":"graph","created_at":"2026-07-05T12:05:45Z","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/2509.05352/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Instance segmentation is essential for numerous computer vision applications, including robotics, human-computer interaction, and autonomous driving. Currently, popular models bring impressive performance in instance segmentation by training with a large number of human annotations, which are costly to collect. For this reason, we present a new framework that efficiently and effectively segments objects without the need for human annotations. Firstly, a MultiCut algorithm is applied to self-supervised features for coarse mask segmentation. Then, a mask filter is employed to obtain high-quality","authors_text":"Cuong Manh Hoang","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2025-09-03T02:46:48Z","title":"Unsupervised Instance Segmentation with Superpixels"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.05352","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:c0d821f7a8fa24ed90d6b099f0a98634e1f530d8b9a33d056fe3acfc79d82695","target":"record","created_at":"2026-07-05T12:05:45Z","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":"8729fd16b7fa969cc22590c70d4edd25d6d13a9a375cc14b8954462b63e5a4e2","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2025-09-03T02:46:48Z","title_canon_sha256":"21e1eefe760face2368a4ef3e16c4c0b4f59a5ab1f1143bda1b9025a75b313fb"},"schema_version":"1.0","source":{"id":"2509.05352","kind":"arxiv","version":1}},"canonical_sha256":"f17f95bd139fb25501c0d4a8383d9ff9afd1574c694786df1877925ce5215f9c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f17f95bd139fb25501c0d4a8383d9ff9afd1574c694786df1877925ce5215f9c","first_computed_at":"2026-07-05T12:05:45.727896Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T12:05:45.727896Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"zLAIHTNqRaIngNTDg3JBOaod0CFBCRdZOvWz5ChJocxpH3SV04jobT3HHScIEQxmQ4UROz9gKFmeGaoeSV+OAg==","signature_status":"signed_v1","signed_at":"2026-07-05T12:05:45.728357Z","signed_message":"canonical_sha256_bytes"},"source_id":"2509.05352","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c0d821f7a8fa24ed90d6b099f0a98634e1f530d8b9a33d056fe3acfc79d82695","sha256:cb9930c73555c97009cc901b9c1a2827902bdba3b40f89f5c85cc4fa24ba26e4"],"state_sha256":"7cdf5ca5ce797002f0b72e379c4363997815246481506299a84102b1cccf6acb"}