{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:B2N3ZH2AC2MKRYYATJ5OM62Q77","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":"b0ff580f76a510fcbe419f46c9abdb882a770864bada2eca01dba0d3752e8db7","cross_cats_sorted":["cs.AI","cs.SD","eess.AS"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CL","submitted_at":"2022-11-08T07:26:45Z","title_canon_sha256":"98b5c317cb4eeb03576f49178079c0c728ea784ec76c61cdd5b51043d504e644"},"schema_version":"1.0","source":{"id":"2211.04054","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2211.04054","created_at":"2026-07-05T06:21:04Z"},{"alias_kind":"arxiv_version","alias_value":"2211.04054v2","created_at":"2026-07-05T06:21:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2211.04054","created_at":"2026-07-05T06:21:04Z"},{"alias_kind":"pith_short_12","alias_value":"B2N3ZH2AC2MK","created_at":"2026-07-05T06:21:04Z"},{"alias_kind":"pith_short_16","alias_value":"B2N3ZH2AC2MKRYYA","created_at":"2026-07-05T06:21:04Z"},{"alias_kind":"pith_short_8","alias_value":"B2N3ZH2A","created_at":"2026-07-05T06:21:04Z"}],"graph_snapshots":[{"event_id":"sha256:d6a76cdafc3af40de03b20a573058b5445e727c77416e4e7e323cb0a23e2fc91","target":"graph","created_at":"2026-07-05T06:21:04Z","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/2211.04054/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Personal assistants, automatic speech recognizers and dialogue understanding systems are becoming more critical in our interconnected digital world. A clear example is air traffic control (ATC) communications. ATC aims at guiding aircraft and controlling the airspace in a safe and optimal manner. These voice-based dialogues are carried between an air traffic controller (ATCO) and pilots via very-high frequency radio channels. In order to incorporate these novel technologies into ATC (low-resource domain), large-scale annotated datasets are required to develop the data-driven AI systems. Two ex","authors_text":"Alexander Blatt, Allan Tart, Amrutha Prasad, Claudia Cevenini, Dietrich Klakow, Igor Sz\\\"oke, Iuliia Nigmatulina, Jan \\v{C}ernock\\'y, Juan Zuluaga-Gomez, Karel Vesel\\'y, Khalid Choukri, Martin Kocour, Mickael Rigault, Pavel Kol\\v{c}\\'arek, Petr Motlicek, Seyyed Saeed Sarfjoo","cross_cats":["cs.AI","cs.SD","eess.AS"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CL","submitted_at":"2022-11-08T07:26:45Z","title":"ATCO2 corpus: A Large-Scale Dataset for Research on Automatic Speech Recognition and Natural Language Understanding of Air Traffic Control Communications"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2211.04054","kind":"arxiv","version":2},"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":"sha256:4385e44cac3c322adc3a944fbcd847c22a689aa2f94defd5fe7a80a2bef301cf","target":"record","created_at":"2026-07-05T06:21:04Z","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":"b0ff580f76a510fcbe419f46c9abdb882a770864bada2eca01dba0d3752e8db7","cross_cats_sorted":["cs.AI","cs.SD","eess.AS"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CL","submitted_at":"2022-11-08T07:26:45Z","title_canon_sha256":"98b5c317cb4eeb03576f49178079c0c728ea784ec76c61cdd5b51043d504e644"},"schema_version":"1.0","source":{"id":"2211.04054","kind":"arxiv","version":2}},"canonical_sha256":"0e9bbc9f401698a8e3009a7ae67b50ffe3e95171d15430cdbd85e604dff243c6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0e9bbc9f401698a8e3009a7ae67b50ffe3e95171d15430cdbd85e604dff243c6","first_computed_at":"2026-07-05T06:21:04.386236Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:21:04.386236Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"8ASnatloCpwboS1R/yjPdXl5zS9nXv72OURnkfLC6qqmYETEk79lUjbI5ZqWrrxV0MZHte2rY3etOeHcENRgAA==","signature_status":"signed_v1","signed_at":"2026-07-05T06:21:04.386742Z","signed_message":"canonical_sha256_bytes"},"source_id":"2211.04054","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4385e44cac3c322adc3a944fbcd847c22a689aa2f94defd5fe7a80a2bef301cf","sha256:d6a76cdafc3af40de03b20a573058b5445e727c77416e4e7e323cb0a23e2fc91"],"state_sha256":"529f24b7d665bbf373f1d4c44cbdb7f71aaa2de87bc94d6b708b267348b6a057"}