{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:DUBK4SEFK5SYPF5TLK3VUK3PIF","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":"c9387814cc5a973eef20222ee2e7cfc91fb120b7b9c9ed4c9f1598a8604c0453","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2025-04-11T14:52:59Z","title_canon_sha256":"dc8a9940594ef8aacfee480bd6638cc270559238b43a14d4ea412465e9043a8a"},"schema_version":"1.0","source":{"id":"2504.08593","kind":"arxiv","version":5}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.08593","created_at":"2026-05-27T01:05:34Z"},{"alias_kind":"arxiv_version","alias_value":"2504.08593v5","created_at":"2026-05-27T01:05:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.08593","created_at":"2026-05-27T01:05:34Z"},{"alias_kind":"pith_short_12","alias_value":"DUBK4SEFK5SY","created_at":"2026-05-27T01:05:34Z"},{"alias_kind":"pith_short_16","alias_value":"DUBK4SEFK5SYPF5T","created_at":"2026-05-27T01:05:34Z"},{"alias_kind":"pith_short_8","alias_value":"DUBK4SEF","created_at":"2026-05-27T01:05:34Z"}],"graph_snapshots":[{"event_id":"sha256:a76c872bf18a1364f45d61a48c8e1bc83992f78c03cdd72061d63d1ed06d3fc8","target":"graph","created_at":"2026-05-27T01:05:34Z","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/2504.08593/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This work tackles the challenge of continuous sign language segmentation, a key task with huge implications for sign language translation and data annotation. We propose a transformer-based architecture that models the temporal dynamics of signing and frames segmentation as a sequence labeling problem using the Begin-In-Out (BIO) tagging scheme. Our method leverages the HaMeR hand features, and is complemented with 3D Angles. Extensive experiments show that our model achieves state-of-the-art results on the DGS Corpus, while our features surpass prior benchmarks on BSLCorpus.","authors_text":"Harry Walsh, JianHe Low, Ozge Mercanoglu Sincan, Richard Bowden","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2025-04-11T14:52:59Z","title":"Hands-On: Segmenting Individual Signs from Continuous Sequences"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.08593","kind":"arxiv","version":5},"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":"sha256:653fde08e0874b551c402246e76d9d176f45729bb0075903d74cdd977bd7519e","target":"record","created_at":"2026-05-27T01:05:34Z","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":"c9387814cc5a973eef20222ee2e7cfc91fb120b7b9c9ed4c9f1598a8604c0453","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2025-04-11T14:52:59Z","title_canon_sha256":"dc8a9940594ef8aacfee480bd6638cc270559238b43a14d4ea412465e9043a8a"},"schema_version":"1.0","source":{"id":"2504.08593","kind":"arxiv","version":5}},"canonical_sha256":"1d02ae488557658797b35ab75a2b6f416c7a778296666758b33e8e7687a5ce65","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1d02ae488557658797b35ab75a2b6f416c7a778296666758b33e8e7687a5ce65","first_computed_at":"2026-05-27T01:05:34.405638Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-27T01:05:34.405638Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"nXoyQ/R7LJXMJrquL8ypV+4g3A5CI0K7Dyl8rGc37O9dTDNrIhE3umRJjwlDSZsi6Y8UnVyYI9q9NZo8219WDw==","signature_status":"signed_v1","signed_at":"2026-05-27T01:05:34.406378Z","signed_message":"canonical_sha256_bytes"},"source_id":"2504.08593","source_kind":"arxiv","source_version":5}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:653fde08e0874b551c402246e76d9d176f45729bb0075903d74cdd977bd7519e","sha256:a76c872bf18a1364f45d61a48c8e1bc83992f78c03cdd72061d63d1ed06d3fc8"],"state_sha256":"596862e3d9262b3bad22fe13269a18721da238e3dba59df3b45766d0bcb26aa6"}