{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:XC5YHFHU374XRQU4CU4K57NIV6","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":"934b41ffcb37b201d895719b9484fcd56a83b3c9e2dae3a2f7666891ea802f94","cross_cats_sorted":["cs.HC"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-11-20T19:11:16Z","title_canon_sha256":"956e4e1132f06634392cae2b741509208fb4c87c367f2ebd8023f97b3933f23e"},"schema_version":"1.0","source":{"id":"2311.12128","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.12128","created_at":"2026-07-05T07:15:00Z"},{"alias_kind":"arxiv_version","alias_value":"2311.12128v1","created_at":"2026-07-05T07:15:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.12128","created_at":"2026-07-05T07:15:00Z"},{"alias_kind":"pith_short_12","alias_value":"XC5YHFHU374X","created_at":"2026-07-05T07:15:00Z"},{"alias_kind":"pith_short_16","alias_value":"XC5YHFHU374XRQU4","created_at":"2026-07-05T07:15:00Z"},{"alias_kind":"pith_short_8","alias_value":"XC5YHFHU","created_at":"2026-07-05T07:15:00Z"}],"graph_snapshots":[{"event_id":"sha256:910a91568d190bee0c389a8985fb198008bb5551d2581bdf318dcc98c69c29d4","target":"graph","created_at":"2026-07-05T07:15:00Z","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/2311.12128/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We address the task of American Sign Language fingerspelling translation using videos in the wild. We exploit advances in more accurate hand pose estimation and propose a novel architecture that leverages the transformer based encoder-decoder model enabling seamless contextual word translation. The translation model is augmented by a novel loss term that accurately predicts the length of the finger-spelled word, benefiting both training and inference. We also propose a novel two-stage inference approach that re-ranks the hypotheses using the language model capabilities of the decoder. Through ","authors_text":"Jana Kosecka, Negar Nejatishahidin, Pooya Fayyazsanavi","cross_cats":["cs.HC"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-11-20T19:11:16Z","title":"Fingerspelling PoseNet: Enhancing Fingerspelling Translation with Pose-Based Transformer Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.12128","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":"sha256:3b8098db91d7f543b5e5db91256c631ae55d9b18bb0e93795c83f1b37b543caa","target":"record","created_at":"2026-07-05T07:15:00Z","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":"934b41ffcb37b201d895719b9484fcd56a83b3c9e2dae3a2f7666891ea802f94","cross_cats_sorted":["cs.HC"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-11-20T19:11:16Z","title_canon_sha256":"956e4e1132f06634392cae2b741509208fb4c87c367f2ebd8023f97b3933f23e"},"schema_version":"1.0","source":{"id":"2311.12128","kind":"arxiv","version":1}},"canonical_sha256":"b8bb8394f4dff978c29c1538aefda8af9d6e23e9962d3f42c2efd9f4b9675b4c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b8bb8394f4dff978c29c1538aefda8af9d6e23e9962d3f42c2efd9f4b9675b4c","first_computed_at":"2026-07-05T07:15:00.852874Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:15:00.852874Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"fYKnLpUmXq+0GVFle8fRPrIfIeIjsjKY4yyycvNprK3ByO+CNM4dIE0RAwEbeiYlYm/Uw5V/g8UJI276fa/vDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T07:15:00.853417Z","signed_message":"canonical_sha256_bytes"},"source_id":"2311.12128","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3b8098db91d7f543b5e5db91256c631ae55d9b18bb0e93795c83f1b37b543caa","sha256:910a91568d190bee0c389a8985fb198008bb5551d2581bdf318dcc98c69c29d4"],"state_sha256":"b664dece0ed017ea4b7c7f7db053f7f27bb6eb90ee77d318ebf190c891bbeeee"}