{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:IENBVFIPOC2UXN4QONBFY2SGRJ","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":"fcd3834ebe6163109c4f6aa8463d28e61e598dbe5d40137af5d23a4e78f82616","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-10-09T18:21:57Z","title_canon_sha256":"130abb778c23f55d61805c90a75c1922a4c49f8259fa51171fc3dc73124eb5d9"},"schema_version":"1.0","source":{"id":"1710.03255","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1710.03255","created_at":"2026-05-17T23:53:52Z"},{"alias_kind":"arxiv_version","alias_value":"1710.03255v2","created_at":"2026-05-17T23:53:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1710.03255","created_at":"2026-05-17T23:53:52Z"},{"alias_kind":"pith_short_12","alias_value":"IENBVFIPOC2U","created_at":"2026-05-18T12:31:21Z"},{"alias_kind":"pith_short_16","alias_value":"IENBVFIPOC2UXN4Q","created_at":"2026-05-18T12:31:21Z"},{"alias_kind":"pith_short_8","alias_value":"IENBVFIP","created_at":"2026-05-18T12:31:21Z"}],"graph_snapshots":[{"event_id":"sha256:1f788c7f260c5ca212e6f20bff668fc034b22b54e155b9d6ece23cffcf8dd566","target":"graph","created_at":"2026-05-17T23:53:52Z","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"},"paper":{"abstract_excerpt":"We address the problem of automatic American Sign Language fingerspelling recognition from video. Prior work has largely relied on frame-level labels, hand-crafted features, or other constraints, and has been hampered by the scarcity of data for this task. We introduce a model for fingerspelling recognition that addresses these issues. The model consists of an auto-encoder-based feature extractor and an attention-based neural encoder-decoder, which are trained jointly. The model receives a sequence of image frames and outputs the fingerspelled word, without relying on any frame-level training ","authors_text":"Bowen Shi, Karen Livescu","cross_cats":["cs.CV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-10-09T18:21:57Z","title":"Multitask training with unlabeled data for end-to-end sign language fingerspelling recognition"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1710.03255","kind":"arxiv","version":2},"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":"sha256:668411d80d4706e14fdbe97858a17fd585fdcd743e437bc15e88888afdfa3cbc","target":"record","created_at":"2026-05-17T23:53:52Z","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":"fcd3834ebe6163109c4f6aa8463d28e61e598dbe5d40137af5d23a4e78f82616","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-10-09T18:21:57Z","title_canon_sha256":"130abb778c23f55d61805c90a75c1922a4c49f8259fa51171fc3dc73124eb5d9"},"schema_version":"1.0","source":{"id":"1710.03255","kind":"arxiv","version":2}},"canonical_sha256":"411a1a950f70b54bb79073425c6a468a66b154a9b693d220ea16cf665eaee21f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"411a1a950f70b54bb79073425c6a468a66b154a9b693d220ea16cf665eaee21f","first_computed_at":"2026-05-17T23:53:52.050190Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:53:52.050190Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"4k5Q7EOxKg936flY9x2dyDCbeWNS7guNSG59oaVG92optL4vKJr6sjo92+yJMToirAevmYeDRlprXGZHWTGZBQ==","signature_status":"signed_v1","signed_at":"2026-05-17T23:53:52.050982Z","signed_message":"canonical_sha256_bytes"},"source_id":"1710.03255","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:668411d80d4706e14fdbe97858a17fd585fdcd743e437bc15e88888afdfa3cbc","sha256:1f788c7f260c5ca212e6f20bff668fc034b22b54e155b9d6ece23cffcf8dd566"],"state_sha256":"57f1a10a3ce4e9e130747733b57b94bf16e9d3d88b7a13f947975a564938e21c"}