{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:OAL6TIWFIWXD7MQPXTGLUYWQYF","short_pith_number":"pith:OAL6TIWF","canonical_record":{"source":{"id":"2211.05103","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.AS","submitted_at":"2022-11-09T18:53:59Z","cross_cats_sorted":["cs.CL","cs.SD"],"title_canon_sha256":"056813c23ae8c0055a98830aa4289bf8425bcd1ed319e12c99b58be342e1b3c1","abstract_canon_sha256":"59328c5967d30542c926786592aed6d07c5ed3af84dce9c4ab32eeb0bd0468c7"},"schema_version":"1.0"},"canonical_sha256":"7017e9a2c545ae3fb20fbcccba62d0c14ec984f24d743138e9390e356f7f2439","source":{"kind":"arxiv","id":"2211.05103","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2211.05103","created_at":"2026-07-05T05:50:10Z"},{"alias_kind":"arxiv_version","alias_value":"2211.05103v2","created_at":"2026-07-05T05:50:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2211.05103","created_at":"2026-07-05T05:50:10Z"},{"alias_kind":"pith_short_12","alias_value":"OAL6TIWFIWXD","created_at":"2026-07-05T05:50:10Z"},{"alias_kind":"pith_short_16","alias_value":"OAL6TIWFIWXD7MQP","created_at":"2026-07-05T05:50:10Z"},{"alias_kind":"pith_short_8","alias_value":"OAL6TIWF","created_at":"2026-07-05T05:50:10Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:OAL6TIWFIWXD7MQPXTGLUYWQYF","target":"record","payload":{"canonical_record":{"source":{"id":"2211.05103","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.AS","submitted_at":"2022-11-09T18:53:59Z","cross_cats_sorted":["cs.CL","cs.SD"],"title_canon_sha256":"056813c23ae8c0055a98830aa4289bf8425bcd1ed319e12c99b58be342e1b3c1","abstract_canon_sha256":"59328c5967d30542c926786592aed6d07c5ed3af84dce9c4ab32eeb0bd0468c7"},"schema_version":"1.0"},"canonical_sha256":"7017e9a2c545ae3fb20fbcccba62d0c14ec984f24d743138e9390e356f7f2439","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:50:10.635498Z","signature_b64":"eclUVC53vqeVUm/LbVCchud0Xs1sx5N278UPaa0X5wjQa6In4V781nNWslO0DES4MvVXlqrp+7NG6kqbPURQCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7017e9a2c545ae3fb20fbcccba62d0c14ec984f24d743138e9390e356f7f2439","last_reissued_at":"2026-07-05T05:50:10.634795Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:50:10.634795Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2211.05103","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T05:50:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"BtnB9xtxpgvNiR5j7RKpBqatF1snpG6ACh2gjiFh1d+XsS8VQ5xBjnf1ZVc+rtWwggYRP7hdljpuFmA3S8+CAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T11:20:08.980522Z"},"content_sha256":"cb548dcf9f8bc79f75cbe1d2d5f1f8d670e45f2c6572e268799779f2d85e6ac1","schema_version":"1.0","event_id":"sha256:cb548dcf9f8bc79f75cbe1d2d5f1f8d670e45f2c6572e268799779f2d85e6ac1"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:OAL6TIWFIWXD7MQPXTGLUYWQYF","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Accidental Learners: Spoken Language Identification in Multilingual Self-Supervised Models","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CL","cs.SD"],"primary_cat":"eess.AS","authors_text":"Boris Ginsburg, Fei Jia, Krishna C. Puvvada, Samuel Kriman, Travis M. Bartley","submitted_at":"2022-11-09T18:53:59Z","abstract_excerpt":"In this paper, we extend previous self-supervised approaches for language identification by experimenting with Conformer based architecture in a multilingual pre-training paradigm. We find that pre-trained speech models optimally encode language discriminatory information in lower layers. Further, we demonstrate that the embeddings obtained from these layers are significantly robust to classify unseen languages and different acoustic environments without additional training. After fine-tuning a pre-trained Conformer model on the VoxLingua107 dataset, we achieve results similar to current state"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2211.05103","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2211.05103/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T05:50:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"J/AJkDzNqMcOvpg82oHsobPVijFwD1wQg9Tydql5TwIpgaRuCI5M8b9ASx3ab+BnyOIM6lS4vpUqPATZBwhfDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T11:20:08.981270Z"},"content_sha256":"29882d38355201cb46138656e6dbc9cd03fa85bf336f917c306d53998d13e42e","schema_version":"1.0","event_id":"sha256:29882d38355201cb46138656e6dbc9cd03fa85bf336f917c306d53998d13e42e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/OAL6TIWFIWXD7MQPXTGLUYWQYF/bundle.json","state_url":"https://pith.science/pith/OAL6TIWFIWXD7MQPXTGLUYWQYF/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/OAL6TIWFIWXD7MQPXTGLUYWQYF/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-04T11:20:08Z","links":{"resolver":"https://pith.science/pith/OAL6TIWFIWXD7MQPXTGLUYWQYF","bundle":"https://pith.science/pith/OAL6TIWFIWXD7MQPXTGLUYWQYF/bundle.json","state":"https://pith.science/pith/OAL6TIWFIWXD7MQPXTGLUYWQYF/state.json","well_known_bundle":"https://pith.science/.well-known/pith/OAL6TIWFIWXD7MQPXTGLUYWQYF/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:OAL6TIWFIWXD7MQPXTGLUYWQYF","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":"59328c5967d30542c926786592aed6d07c5ed3af84dce9c4ab32eeb0bd0468c7","cross_cats_sorted":["cs.CL","cs.SD"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.AS","submitted_at":"2022-11-09T18:53:59Z","title_canon_sha256":"056813c23ae8c0055a98830aa4289bf8425bcd1ed319e12c99b58be342e1b3c1"},"schema_version":"1.0","source":{"id":"2211.05103","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2211.05103","created_at":"2026-07-05T05:50:10Z"},{"alias_kind":"arxiv_version","alias_value":"2211.05103v2","created_at":"2026-07-05T05:50:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2211.05103","created_at":"2026-07-05T05:50:10Z"},{"alias_kind":"pith_short_12","alias_value":"OAL6TIWFIWXD","created_at":"2026-07-05T05:50:10Z"},{"alias_kind":"pith_short_16","alias_value":"OAL6TIWFIWXD7MQP","created_at":"2026-07-05T05:50:10Z"},{"alias_kind":"pith_short_8","alias_value":"OAL6TIWF","created_at":"2026-07-05T05:50:10Z"}],"graph_snapshots":[{"event_id":"sha256:29882d38355201cb46138656e6dbc9cd03fa85bf336f917c306d53998d13e42e","target":"graph","created_at":"2026-07-05T05:50:10Z","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/2211.05103/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this paper, we extend previous self-supervised approaches for language identification by experimenting with Conformer based architecture in a multilingual pre-training paradigm. We find that pre-trained speech models optimally encode language discriminatory information in lower layers. Further, we demonstrate that the embeddings obtained from these layers are significantly robust to classify unseen languages and different acoustic environments without additional training. After fine-tuning a pre-trained Conformer model on the VoxLingua107 dataset, we achieve results similar to current state","authors_text":"Boris Ginsburg, Fei Jia, Krishna C. Puvvada, Samuel Kriman, Travis M. Bartley","cross_cats":["cs.CL","cs.SD"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.AS","submitted_at":"2022-11-09T18:53:59Z","title":"Accidental Learners: Spoken Language Identification in Multilingual Self-Supervised Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2211.05103","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:cb548dcf9f8bc79f75cbe1d2d5f1f8d670e45f2c6572e268799779f2d85e6ac1","target":"record","created_at":"2026-07-05T05:50:10Z","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":"59328c5967d30542c926786592aed6d07c5ed3af84dce9c4ab32eeb0bd0468c7","cross_cats_sorted":["cs.CL","cs.SD"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.AS","submitted_at":"2022-11-09T18:53:59Z","title_canon_sha256":"056813c23ae8c0055a98830aa4289bf8425bcd1ed319e12c99b58be342e1b3c1"},"schema_version":"1.0","source":{"id":"2211.05103","kind":"arxiv","version":2}},"canonical_sha256":"7017e9a2c545ae3fb20fbcccba62d0c14ec984f24d743138e9390e356f7f2439","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7017e9a2c545ae3fb20fbcccba62d0c14ec984f24d743138e9390e356f7f2439","first_computed_at":"2026-07-05T05:50:10.634795Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:50:10.634795Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"eclUVC53vqeVUm/LbVCchud0Xs1sx5N278UPaa0X5wjQa6In4V781nNWslO0DES4MvVXlqrp+7NG6kqbPURQCw==","signature_status":"signed_v1","signed_at":"2026-07-05T05:50:10.635498Z","signed_message":"canonical_sha256_bytes"},"source_id":"2211.05103","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:cb548dcf9f8bc79f75cbe1d2d5f1f8d670e45f2c6572e268799779f2d85e6ac1","sha256:29882d38355201cb46138656e6dbc9cd03fa85bf336f917c306d53998d13e42e"],"state_sha256":"0c2d83237ca92d27f1aa2d6229646c6965923b720670ae84910bfd2eeed2c8c4"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"TOcg6tAQ6C+D0hyhL4vOT6isrTdmfI6qrB2YrBTXd7Zv5m/T1AukG9N3/fgsSg9cXl5HUcqaL/h5IgMVqqZ9Dw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T11:20:08.989086Z","bundle_sha256":"ccc0eefae0d517220e32a493d7045657fa7532c0b3cae458b1232ba16f5b2d1a"}}