{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:ZJJEEURUPJUB4ZHOFFNSEUAMJD","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":"1f0042d3b7aff9cfa96c644816c6ee56823fb8e7027a079e52159ac16715810e","cross_cats_sorted":["cs.SD","eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2020-02-26T20:38:42Z","title_canon_sha256":"1c7907c2bb162538d37324cf36f44efe653868c0bf990f548beaa151bd81ad7f"},"schema_version":"1.0","source":{"id":"2002.11781","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2002.11781","created_at":"2026-07-05T00:44:08Z"},{"alias_kind":"arxiv_version","alias_value":"2002.11781v1","created_at":"2026-07-05T00:44:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2002.11781","created_at":"2026-07-05T00:44:08Z"},{"alias_kind":"pith_short_12","alias_value":"ZJJEEURUPJUB","created_at":"2026-07-05T00:44:08Z"},{"alias_kind":"pith_short_16","alias_value":"ZJJEEURUPJUB4ZHO","created_at":"2026-07-05T00:44:08Z"},{"alias_kind":"pith_short_8","alias_value":"ZJJEEURU","created_at":"2026-07-05T00:44:08Z"}],"graph_snapshots":[{"event_id":"sha256:dfcbeaaeddc18790e1c5bd0f6458b3adf76bda165f0ead377487a20220375dfc","target":"graph","created_at":"2026-07-05T00:44:08Z","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/2002.11781/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Automatic phonemic transcription tools are useful for low-resource language documentation. However, due to the lack of training sets, only a tiny fraction of languages have phonemic transcription tools. Fortunately, multilingual acoustic modeling provides a solution given limited audio training data. A more challenging problem is to build phonemic transcribers for languages with zero training data. The difficulty of this task is that phoneme inventories often differ between the training languages and the target language, making it infeasible to recognize unseen phonemes. In this work, we addre","authors_text":"Alan W Black, David R. Mortensen, Florian Metze, Juncheng Li, Siddharth Dalmia, Xinjian Li","cross_cats":["cs.SD","eess.AS"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2020-02-26T20:38:42Z","title":"Towards Zero-shot Learning for Automatic Phonemic Transcription"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2002.11781","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:fd4a82d78ee84043535fe4aa84dfeff47d6b214a594d43904690172071b330fd","target":"record","created_at":"2026-07-05T00:44:08Z","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":"1f0042d3b7aff9cfa96c644816c6ee56823fb8e7027a079e52159ac16715810e","cross_cats_sorted":["cs.SD","eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2020-02-26T20:38:42Z","title_canon_sha256":"1c7907c2bb162538d37324cf36f44efe653868c0bf990f548beaa151bd81ad7f"},"schema_version":"1.0","source":{"id":"2002.11781","kind":"arxiv","version":1}},"canonical_sha256":"ca524252347a681e64ee295b22500c48f15667aa3d6fd081247c3a93bfc3be73","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ca524252347a681e64ee295b22500c48f15667aa3d6fd081247c3a93bfc3be73","first_computed_at":"2026-07-05T00:44:08.871985Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:44:08.871985Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"3S2ASYwClCcBFOka5FoasGjrX4vD0BZQV9dmQ6SBrmM+fnqM4BMXoMDg/fMsoHUEo4CrD6DclNK/S2WsmU4fDw==","signature_status":"signed_v1","signed_at":"2026-07-05T00:44:08.872452Z","signed_message":"canonical_sha256_bytes"},"source_id":"2002.11781","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:fd4a82d78ee84043535fe4aa84dfeff47d6b214a594d43904690172071b330fd","sha256:dfcbeaaeddc18790e1c5bd0f6458b3adf76bda165f0ead377487a20220375dfc"],"state_sha256":"b1e9c708daef3d353cce9b1fe2bc33a2569e1499c9914f7e6db3c1f487b04533"}