{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:BXFFD4HGBLP32DRXC6LYZS2M7O","short_pith_number":"pith:BXFFD4HG","canonical_record":{"source":{"id":"1706.09742","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-06-28T13:37:29Z","cross_cats_sorted":[],"title_canon_sha256":"6b40df3b447a879a4e4f9a7417efa3f041180760c542df8e6008affc80f18ed0","abstract_canon_sha256":"d4b95aa3947ece5daa834cd3db9cc179faed830f1cfaac3661fa0bc91f887f7d"},"schema_version":"1.0"},"canonical_sha256":"0dca51f0e60adfbd0e3717978ccb4cfb999e7a9a16f69be684b16f1ceb0ce83a","source":{"kind":"arxiv","id":"1706.09742","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1706.09742","created_at":"2026-05-18T00:41:14Z"},{"alias_kind":"arxiv_version","alias_value":"1706.09742v1","created_at":"2026-05-18T00:41:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1706.09742","created_at":"2026-05-18T00:41:14Z"},{"alias_kind":"pith_short_12","alias_value":"BXFFD4HGBLP3","created_at":"2026-05-18T12:31:08Z"},{"alias_kind":"pith_short_16","alias_value":"BXFFD4HGBLP32DRX","created_at":"2026-05-18T12:31:08Z"},{"alias_kind":"pith_short_8","alias_value":"BXFFD4HG","created_at":"2026-05-18T12:31:08Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:BXFFD4HGBLP32DRXC6LYZS2M7O","target":"record","payload":{"canonical_record":{"source":{"id":"1706.09742","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-06-28T13:37:29Z","cross_cats_sorted":[],"title_canon_sha256":"6b40df3b447a879a4e4f9a7417efa3f041180760c542df8e6008affc80f18ed0","abstract_canon_sha256":"d4b95aa3947ece5daa834cd3db9cc179faed830f1cfaac3661fa0bc91f887f7d"},"schema_version":"1.0"},"canonical_sha256":"0dca51f0e60adfbd0e3717978ccb4cfb999e7a9a16f69be684b16f1ceb0ce83a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:41:14.018611Z","signature_b64":"IaH+aharPDxpFp3jHgk1gtfXatfedna3e5zoaulpBBRrDb9wLBVMtiYF7nOdk/z7u4Lqc2/hDIoEjlOnQ44sAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0dca51f0e60adfbd0e3717978ccb4cfb999e7a9a16f69be684b16f1ceb0ce83a","last_reissued_at":"2026-05-18T00:41:14.018077Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:41:14.018077Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1706.09742","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:41:14Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Y/L3NE+mu8ptiOPftlWOHDgKRHrk1OeyoPJGG69cynJ7CSz1N2jJpj8wrD4+zkJfqpVzq9bDHuy+8653SuAVDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T01:46:50.926054Z"},"content_sha256":"3422e1f2cdc1ced45bb301465e77e23c8ba169db4af6c8078ef95e11c2a127aa","schema_version":"1.0","event_id":"sha256:3422e1f2cdc1ced45bb301465e77e23c8ba169db4af6c8078ef95e11c2a127aa"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:BXFFD4HGBLP32DRXC6LYZS2M7O","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"AP17-OLR Challenge: Data, Plan, and Baseline","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Dong Wang, Qing Chen, Yixiang Chen, Zhiyuan Tang","submitted_at":"2017-06-28T13:37:29Z","abstract_excerpt":"We present the data profile and the evaluation plan of the second oriental language recognition (OLR) challenge AP17-OLR. Compared to the event last year (AP16-OLR), the new challenge involves more languages and focuses more on short utterances. The data is offered by SpeechOcean and the NSFC M2ASR project. Two types of baselines are constructed to assist the participants, one is based on the i-vector model and the other is based on various neural networks. We report the baseline results evaluated with various metrics defined by the AP17-OLR evaluation plan and demonstrate that the combined da"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1706.09742","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"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":"2026-05-18T00:41:14Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"OsML4/ffJxs8x8qV+F8B6o9s4Ng/OWkWmpduahMVIec86eCntZMlyU9HMBp9hPTm5pZtBNdnsA05Y9RhpRDUBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T01:46:50.926724Z"},"content_sha256":"54728c830412e3de132d570240399ec33333b972f2b88ab9fb56504b7def0114","schema_version":"1.0","event_id":"sha256:54728c830412e3de132d570240399ec33333b972f2b88ab9fb56504b7def0114"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/BXFFD4HGBLP32DRXC6LYZS2M7O/bundle.json","state_url":"https://pith.science/pith/BXFFD4HGBLP32DRXC6LYZS2M7O/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/BXFFD4HGBLP32DRXC6LYZS2M7O/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":"2026-05-27T01:46:50Z","links":{"resolver":"https://pith.science/pith/BXFFD4HGBLP32DRXC6LYZS2M7O","bundle":"https://pith.science/pith/BXFFD4HGBLP32DRXC6LYZS2M7O/bundle.json","state":"https://pith.science/pith/BXFFD4HGBLP32DRXC6LYZS2M7O/state.json","well_known_bundle":"https://pith.science/.well-known/pith/BXFFD4HGBLP32DRXC6LYZS2M7O/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:BXFFD4HGBLP32DRXC6LYZS2M7O","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":"d4b95aa3947ece5daa834cd3db9cc179faed830f1cfaac3661fa0bc91f887f7d","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-06-28T13:37:29Z","title_canon_sha256":"6b40df3b447a879a4e4f9a7417efa3f041180760c542df8e6008affc80f18ed0"},"schema_version":"1.0","source":{"id":"1706.09742","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1706.09742","created_at":"2026-05-18T00:41:14Z"},{"alias_kind":"arxiv_version","alias_value":"1706.09742v1","created_at":"2026-05-18T00:41:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1706.09742","created_at":"2026-05-18T00:41:14Z"},{"alias_kind":"pith_short_12","alias_value":"BXFFD4HGBLP3","created_at":"2026-05-18T12:31:08Z"},{"alias_kind":"pith_short_16","alias_value":"BXFFD4HGBLP32DRX","created_at":"2026-05-18T12:31:08Z"},{"alias_kind":"pith_short_8","alias_value":"BXFFD4HG","created_at":"2026-05-18T12:31:08Z"}],"graph_snapshots":[{"event_id":"sha256:54728c830412e3de132d570240399ec33333b972f2b88ab9fb56504b7def0114","target":"graph","created_at":"2026-05-18T00:41:14Z","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":"We present the data profile and the evaluation plan of the second oriental language recognition (OLR) challenge AP17-OLR. Compared to the event last year (AP16-OLR), the new challenge involves more languages and focuses more on short utterances. The data is offered by SpeechOcean and the NSFC M2ASR project. Two types of baselines are constructed to assist the participants, one is based on the i-vector model and the other is based on various neural networks. We report the baseline results evaluated with various metrics defined by the AP17-OLR evaluation plan and demonstrate that the combined da","authors_text":"Dong Wang, Qing Chen, Yixiang Chen, Zhiyuan Tang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-06-28T13:37:29Z","title":"AP17-OLR Challenge: Data, Plan, and Baseline"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1706.09742","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":"sha256:3422e1f2cdc1ced45bb301465e77e23c8ba169db4af6c8078ef95e11c2a127aa","target":"record","created_at":"2026-05-18T00:41:14Z","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":"d4b95aa3947ece5daa834cd3db9cc179faed830f1cfaac3661fa0bc91f887f7d","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-06-28T13:37:29Z","title_canon_sha256":"6b40df3b447a879a4e4f9a7417efa3f041180760c542df8e6008affc80f18ed0"},"schema_version":"1.0","source":{"id":"1706.09742","kind":"arxiv","version":1}},"canonical_sha256":"0dca51f0e60adfbd0e3717978ccb4cfb999e7a9a16f69be684b16f1ceb0ce83a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0dca51f0e60adfbd0e3717978ccb4cfb999e7a9a16f69be684b16f1ceb0ce83a","first_computed_at":"2026-05-18T00:41:14.018077Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:41:14.018077Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"IaH+aharPDxpFp3jHgk1gtfXatfedna3e5zoaulpBBRrDb9wLBVMtiYF7nOdk/z7u4Lqc2/hDIoEjlOnQ44sAA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:41:14.018611Z","signed_message":"canonical_sha256_bytes"},"source_id":"1706.09742","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3422e1f2cdc1ced45bb301465e77e23c8ba169db4af6c8078ef95e11c2a127aa","sha256:54728c830412e3de132d570240399ec33333b972f2b88ab9fb56504b7def0114"],"state_sha256":"4a570fe90d12aef601971df36a5475a855fae6914f436c6ea6265dcd73c94751"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"B2URD3Eg7KuUeOJUr+iN0GD4I+RUPsXUj0yn+JP3ZHP78uTqqNDXm4Gln59sm4rx3igoF860JQ6DSsKfwSeyCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-27T01:46:50.930065Z","bundle_sha256":"d821f8c765693411c386861fcd399796f2f2c4b08521337287873e79acefe2a5"}}