{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:DBD2OPPR6ORCYM6GIT76RXG2Z3","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":"5b7cb2231fe3f5429dedea378a83ac6e1b16c097ea41dd9ef3e28d5b3cf24b54","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-07-24T08:12:41Z","title_canon_sha256":"bbf4ad1be4dae966d1d344a163fa2605cb758ae8fce31bbe723632a58729f1d6"},"schema_version":"1.0","source":{"id":"1907.10292","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1907.10292","created_at":"2026-05-17T23:39:38Z"},{"alias_kind":"arxiv_version","alias_value":"1907.10292v1","created_at":"2026-05-17T23:39:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1907.10292","created_at":"2026-05-17T23:39:38Z"},{"alias_kind":"pith_short_12","alias_value":"DBD2OPPR6ORC","created_at":"2026-05-18T12:33:15Z"},{"alias_kind":"pith_short_16","alias_value":"DBD2OPPR6ORCYM6G","created_at":"2026-05-18T12:33:15Z"},{"alias_kind":"pith_short_8","alias_value":"DBD2OPPR","created_at":"2026-05-18T12:33:15Z"}],"graph_snapshots":[{"event_id":"sha256:534c015d115b08d8735062f4fc44b3b77cd5812a1f228d87c3181c02d924da76","target":"graph","created_at":"2026-05-17T23:39:38Z","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 introduce the problem of zero-shot sign language recognition (ZSSLR), where the goal is to leverage models learned over the seen sign class examples to recognize the instances of unseen signs. To this end, we propose to utilize the readily available descriptions in sign language dictionaries as an intermediate-level semantic representation for knowledge transfer. We introduce a new benchmark dataset called ASL-Text that consists of 250 sign language classes and their accompanying textual descriptions. Compared to the ZSL datasets in other domains (such as object recognition), our dataset co","authors_text":"Nazli Ikizler-Cinbis, Ramazan Gokberk Cinbis, Yunus Can Bilge","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-07-24T08:12:41Z","title":"Zero-Shot Sign Language Recognition: Can Textual Data Uncover Sign Languages?"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1907.10292","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":"sha256:5a74f5bc1b5f48c1d821c14ff3fbaa3eaff826b34a0d79a7b0574135b1f552e3","target":"record","created_at":"2026-05-17T23:39:38Z","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":"5b7cb2231fe3f5429dedea378a83ac6e1b16c097ea41dd9ef3e28d5b3cf24b54","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-07-24T08:12:41Z","title_canon_sha256":"bbf4ad1be4dae966d1d344a163fa2605cb758ae8fce31bbe723632a58729f1d6"},"schema_version":"1.0","source":{"id":"1907.10292","kind":"arxiv","version":1}},"canonical_sha256":"1847a73df1f3a22c33c644ffe8dcdaceea964f9a7e155c356480721d3856e371","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1847a73df1f3a22c33c644ffe8dcdaceea964f9a7e155c356480721d3856e371","first_computed_at":"2026-05-17T23:39:38.363545Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:39:38.363545Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"y1Q0lhCUsSOARSu5oSRdtBiVzCGJcP/ROxeqgXXpYw7PKh9mHzftS3mh4IvvuV6YW09ljUdtDO7Si/G8Ri5DCg==","signature_status":"signed_v1","signed_at":"2026-05-17T23:39:38.364039Z","signed_message":"canonical_sha256_bytes"},"source_id":"1907.10292","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5a74f5bc1b5f48c1d821c14ff3fbaa3eaff826b34a0d79a7b0574135b1f552e3","sha256:534c015d115b08d8735062f4fc44b3b77cd5812a1f228d87c3181c02d924da76"],"state_sha256":"30c42b500045966b11b59d756e0b7023885812b314ba8524aaa66adab4dbfae1"}