{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2009:MEKXXV4WXW3MMUA6RRHNZ3HCRT","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":"74fae6776a619f1f2e676beb3aec7b606646809fe65e8c06ef00fa590d0bc210","cross_cats_sorted":["cs.CL","cs.LG","stat.AP"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2009-11-20T01:30:36Z","title_canon_sha256":"d194141290e392b29ddebe4e17be19dcebdc4b71af22bf677f9d16bec8a1a652"},"schema_version":"1.0","source":{"id":"0911.3944","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"0911.3944","created_at":"2026-05-18T04:14:53Z"},{"alias_kind":"arxiv_version","alias_value":"0911.3944v1","created_at":"2026-05-18T04:14:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.0911.3944","created_at":"2026-05-18T04:14:53Z"},{"alias_kind":"pith_short_12","alias_value":"MEKXXV4WXW3M","created_at":"2026-05-18T12:26:00Z"},{"alias_kind":"pith_short_16","alias_value":"MEKXXV4WXW3MMUA6","created_at":"2026-05-18T12:26:00Z"},{"alias_kind":"pith_short_8","alias_value":"MEKXXV4W","created_at":"2026-05-18T12:26:00Z"}],"graph_snapshots":[{"event_id":"sha256:9df9362acc25ce17dc608316316a161333a817ff9a4c251062ad0ff5c9d403b1","target":"graph","created_at":"2026-05-18T04:14:53Z","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":"In conventional supervised pattern recognition tasks, model selection is typically accomplished by minimizing the classification error rate on a set of so-called development data, subject to ground-truth labeling by human experts or some other means. In the context of speech processing systems and other large-scale practical applications, however, such labeled development data are typically costly and difficult to obtain. This article proposes an alternative semi-supervised framework for likelihood-based model selection that leverages unlabeled data by using trained classifiers representing ea","authors_text":"Christopher M. White, Patrick J. Wolfe, Sanjeev P. Khudanpur","cross_cats":["cs.CL","cs.LG","stat.AP"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2009-11-20T01:30:36Z","title":"Likelihood-based semi-supervised model selection with applications to speech processing"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"0911.3944","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":"sha256:19b378f4100f513ecfa71ea9474eeb6a7995d071ca415903fd041a6202e511c1","target":"record","created_at":"2026-05-18T04:14:53Z","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":"74fae6776a619f1f2e676beb3aec7b606646809fe65e8c06ef00fa590d0bc210","cross_cats_sorted":["cs.CL","cs.LG","stat.AP"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2009-11-20T01:30:36Z","title_canon_sha256":"d194141290e392b29ddebe4e17be19dcebdc4b71af22bf677f9d16bec8a1a652"},"schema_version":"1.0","source":{"id":"0911.3944","kind":"arxiv","version":1}},"canonical_sha256":"61157bd796bdb6c6501e8c4edcece28cec4edf767ccbcce3739f04fc82f59494","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"61157bd796bdb6c6501e8c4edcece28cec4edf767ccbcce3739f04fc82f59494","first_computed_at":"2026-05-18T04:14:53.628064Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T04:14:53.628064Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"t/PVJYIZouedb9bD8ExEWeEywUmgxjWmK9vAup+xoC0FgRlqKBHLq4t9KIwkn4nxozfNAkyzDQp2KUfkExDJAA==","signature_status":"signed_v1","signed_at":"2026-05-18T04:14:53.628803Z","signed_message":"canonical_sha256_bytes"},"source_id":"0911.3944","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:19b378f4100f513ecfa71ea9474eeb6a7995d071ca415903fd041a6202e511c1","sha256:9df9362acc25ce17dc608316316a161333a817ff9a4c251062ad0ff5c9d403b1"],"state_sha256":"52a8b2021304c1b9f6e0557b05f12948cfaf6fb5a8b7686d6cdf478b751992bc"}