{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:ZHRGZWRRBMFPIPPK5RMQHQ53VE","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":"f35c86b954c3b47adbcc0ff4358cdd5724554b64e7adf7a380b145c37a6ce00a","cross_cats_sorted":["cs.CL","eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2022-03-01T05:02:02Z","title_canon_sha256":"ada1b3e770ab184638d4447849de8813868ff046dc5fa8014863e0fb07041335"},"schema_version":"1.0","source":{"id":"2203.00232","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2203.00232","created_at":"2026-07-05T04:01:15Z"},{"alias_kind":"arxiv_version","alias_value":"2203.00232v1","created_at":"2026-07-05T04:01:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2203.00232","created_at":"2026-07-05T04:01:15Z"},{"alias_kind":"pith_short_12","alias_value":"ZHRGZWRRBMFP","created_at":"2026-07-05T04:01:15Z"},{"alias_kind":"pith_short_16","alias_value":"ZHRGZWRRBMFPIPPK","created_at":"2026-07-05T04:01:15Z"},{"alias_kind":"pith_short_8","alias_value":"ZHRGZWRR","created_at":"2026-07-05T04:01:15Z"}],"graph_snapshots":[{"event_id":"sha256:502921d7f768594b10b0661fe8955ef7b13c05d429a2c0291be0adc81235d6fb","target":"graph","created_at":"2026-07-05T04:01:15Z","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/2203.00232/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Graph-based temporal classification (GTC), a generalized form of the connectionist temporal classification loss, was recently proposed to improve automatic speech recognition (ASR) systems using graph-based supervision. For example, GTC was first used to encode an N-best list of pseudo-label sequences into a graph for semi-supervised learning. In this paper, we propose an extension of GTC to model the posteriors of both labels and label transitions by a neural network, which can be applied to a wider range of tasks. As an example application, we use the extended GTC (GTC-e) for the multi-speak","authors_text":"Jonathan Le Roux, Niko Moritz, Shinji Watanabe, Takaaki Hori, Xuankai Chang","cross_cats":["cs.CL","eess.AS"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2022-03-01T05:02:02Z","title":"Extended Graph Temporal Classification for Multi-Speaker End-to-End ASR"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2203.00232","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":"sha256:4247ee9cdc1019a4f9a9235c88c69ebe6f4eb7b74aaf91049f33135f3f04ff62","target":"record","created_at":"2026-07-05T04:01:15Z","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":"f35c86b954c3b47adbcc0ff4358cdd5724554b64e7adf7a380b145c37a6ce00a","cross_cats_sorted":["cs.CL","eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2022-03-01T05:02:02Z","title_canon_sha256":"ada1b3e770ab184638d4447849de8813868ff046dc5fa8014863e0fb07041335"},"schema_version":"1.0","source":{"id":"2203.00232","kind":"arxiv","version":1}},"canonical_sha256":"c9e26cda310b0af43deaec5903c3bba92bc76fdb1e4262fe59fd81f881b6cf0a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c9e26cda310b0af43deaec5903c3bba92bc76fdb1e4262fe59fd81f881b6cf0a","first_computed_at":"2026-07-05T04:01:15.359954Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:01:15.359954Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"I5iRXZnM9FPZ5fMru97avQOwq7/69V5Q1DwXIvpSrUC337RugYGhLOrznc5HAyoynjiE+ftGfB56FUGqnOXeAg==","signature_status":"signed_v1","signed_at":"2026-07-05T04:01:15.360461Z","signed_message":"canonical_sha256_bytes"},"source_id":"2203.00232","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4247ee9cdc1019a4f9a9235c88c69ebe6f4eb7b74aaf91049f33135f3f04ff62","sha256:502921d7f768594b10b0661fe8955ef7b13c05d429a2c0291be0adc81235d6fb"],"state_sha256":"a642894f05584d48cdeae6b56771c162552f7e7ad60ce663b7e23cc544490d34"}