{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:IPH6XZZEHXJFT2ZSSMIN3K7DOX","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":"d6ee16c4545af43afdc5cf6362358b0f4408656d202492d61455b88d9d501166","cross_cats_sorted":["cs.SD","eess.AS"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-06-21T21:26:19Z","title_canon_sha256":"83be44704a13059f0ae8da0240af98085d1d20860b9df866d627ead9c009a65c"},"schema_version":"1.0","source":{"id":"2306.12577","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2306.12577","created_at":"2026-07-05T06:23:40Z"},{"alias_kind":"arxiv_version","alias_value":"2306.12577v1","created_at":"2026-07-05T06:23:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2306.12577","created_at":"2026-07-05T06:23:40Z"},{"alias_kind":"pith_short_12","alias_value":"IPH6XZZEHXJF","created_at":"2026-07-05T06:23:40Z"},{"alias_kind":"pith_short_16","alias_value":"IPH6XZZEHXJFT2ZS","created_at":"2026-07-05T06:23:40Z"},{"alias_kind":"pith_short_8","alias_value":"IPH6XZZE","created_at":"2026-07-05T06:23:40Z"}],"graph_snapshots":[{"event_id":"sha256:4a3a4ccd2f1e01a2d750bbee44976f92e0dc5ba5ed55ee2f98ee5fef18addb04","target":"graph","created_at":"2026-07-05T06:23:40Z","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/2306.12577/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper introduces NoRefER, a novel referenceless quality metric for automatic speech recognition (ASR) systems. Traditional reference-based metrics for evaluating ASR systems require costly ground-truth transcripts. NoRefER overcomes this limitation by fine-tuning a multilingual language model for pair-wise ranking ASR hypotheses using contrastive learning with Siamese network architecture. The self-supervised NoRefER exploits the known quality relationships between hypotheses from multiple compression levels of an ASR for learning to rank intra-sample hypotheses by quality, which is essen","authors_text":"Ahmet Gunduz, Golara Javadi, Kamer Ali Yuksel, Mohamed El-Badrashiny, Thiago Ferreira","cross_cats":["cs.SD","eess.AS"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-06-21T21:26:19Z","title":"NoRefER: a Referenceless Quality Metric for Automatic Speech Recognition via Semi-Supervised Language Model Fine-Tuning with Contrastive Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2306.12577","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":"sha256:416dc092ef79237d1b166d70dcd06f0113aace64eac68c0d57a2d72879d54b97","target":"record","created_at":"2026-07-05T06:23:40Z","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":"d6ee16c4545af43afdc5cf6362358b0f4408656d202492d61455b88d9d501166","cross_cats_sorted":["cs.SD","eess.AS"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-06-21T21:26:19Z","title_canon_sha256":"83be44704a13059f0ae8da0240af98085d1d20860b9df866d627ead9c009a65c"},"schema_version":"1.0","source":{"id":"2306.12577","kind":"arxiv","version":1}},"canonical_sha256":"43cfebe7243dd259eb329310ddabe375e7a4895e95c3312094446600809e7e77","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"43cfebe7243dd259eb329310ddabe375e7a4895e95c3312094446600809e7e77","first_computed_at":"2026-07-05T06:23:40.094379Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:23:40.094379Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"YU00qtlcwlYG8rAgbCx6PwQpFeNcsI21QNu19gCwozUerml4q2fUUphE2nLcVK14alwXIPAstQ2jmv7fIYrOCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T06:23:40.094785Z","signed_message":"canonical_sha256_bytes"},"source_id":"2306.12577","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:416dc092ef79237d1b166d70dcd06f0113aace64eac68c0d57a2d72879d54b97","sha256:4a3a4ccd2f1e01a2d750bbee44976f92e0dc5ba5ed55ee2f98ee5fef18addb04"],"state_sha256":"ac31a8582dc10b3153a880392f66836fd32949e9a4a6f1670304958181cb62f0"}