{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:M3BZ7DA7EGIYRUPZGFLYQGD35J","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":"d939579720869479d6b99da08f42b2621f3e16a62eef8976cbf6f2dc8f3da4d0","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-04-09T15:33:07Z","title_canon_sha256":"f89c1a6f567f80d866a607f3260185d52239e0b1da409ebe7bb501d4dd839f00"},"schema_version":"1.0","source":{"id":"2304.04259","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2304.04259","created_at":"2026-07-05T05:59:14Z"},{"alias_kind":"arxiv_version","alias_value":"2304.04259v1","created_at":"2026-07-05T05:59:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2304.04259","created_at":"2026-07-05T05:59:14Z"},{"alias_kind":"pith_short_12","alias_value":"M3BZ7DA7EGIY","created_at":"2026-07-05T05:59:14Z"},{"alias_kind":"pith_short_16","alias_value":"M3BZ7DA7EGIYRUPZ","created_at":"2026-07-05T05:59:14Z"},{"alias_kind":"pith_short_8","alias_value":"M3BZ7DA7","created_at":"2026-07-05T05:59:14Z"}],"graph_snapshots":[{"event_id":"sha256:1f343c878cdd1aff7a1012560fd7052070f2efe1e0ccbad52d77aee45a95b10d","target":"graph","created_at":"2026-07-05T05:59:14Z","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/2304.04259/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Continual learning in real-world scenarios is a major challenge. A general continual learning model should have a constant memory size and no predefined task boundaries, as is the case in semi-supervised Video Object Segmentation (VOS), where continual learning challenges particularly present themselves in working on long video sequences. In this article, we first formulate the problem of semi-supervised VOS, specifically online VOS, as a continual learning problem, and then secondly provide a public VOS dataset, CLVOS23, focusing on continual learning. Finally, we propose and implement a regu","authors_text":"Amir Nazemi, Paul Fieguth, Zeyad Moustafa","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-04-09T15:33:07Z","title":"CLVOS23: A Long Video Object Segmentation Dataset for Continual Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2304.04259","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:fcc36a45447c20079fead8aca73c26b8be9fde6a80249414f1c6f2a389e9fd08","target":"record","created_at":"2026-07-05T05:59:14Z","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":"d939579720869479d6b99da08f42b2621f3e16a62eef8976cbf6f2dc8f3da4d0","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-04-09T15:33:07Z","title_canon_sha256":"f89c1a6f567f80d866a607f3260185d52239e0b1da409ebe7bb501d4dd839f00"},"schema_version":"1.0","source":{"id":"2304.04259","kind":"arxiv","version":1}},"canonical_sha256":"66c39f8c1f219188d1f9315788187bea57067a5c2a3a2120cac14e40ac33658c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"66c39f8c1f219188d1f9315788187bea57067a5c2a3a2120cac14e40ac33658c","first_computed_at":"2026-07-05T05:59:14.048586Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:59:14.048586Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ofspmhFLx25qTQMwkE7+HjPCvtyQ5wEQh00joHC6QNncIrC5Kp+EikCZ29rRKxiGKw5IT0KpfV7xAJlT8B53BA==","signature_status":"signed_v1","signed_at":"2026-07-05T05:59:14.049008Z","signed_message":"canonical_sha256_bytes"},"source_id":"2304.04259","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:fcc36a45447c20079fead8aca73c26b8be9fde6a80249414f1c6f2a389e9fd08","sha256:1f343c878cdd1aff7a1012560fd7052070f2efe1e0ccbad52d77aee45a95b10d"],"state_sha256":"3702d1560765005d9347c9c091aa89b077d59dad8559c9125057870921eee892"}