{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:OVEWGCAQK6HOIR32G5747F7OTW","short_pith_number":"pith:OVEWGCAQ","canonical_record":{"source":{"id":"2008.04578","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2020-08-11T08:33:20Z","cross_cats_sorted":["cs.CY","cs.SD"],"title_canon_sha256":"5f475cd559099fefac5d9706599f4225ac2cb9f3be1a44a0a7e7e7e04bd8bb77","abstract_canon_sha256":"58f1ab26e3e27953c58951bc72637b4999830fec5f6c7b9fab4f5dddb007c733"},"schema_version":"1.0"},"canonical_sha256":"7549630810578ee4477a377fcf97ee9d869f73510d692787db2b1d97d48ae9f3","source":{"kind":"arxiv","id":"2008.04578","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2008.04578","created_at":"2026-07-05T01:26:26Z"},{"alias_kind":"arxiv_version","alias_value":"2008.04578v1","created_at":"2026-07-05T01:26:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2008.04578","created_at":"2026-07-05T01:26:26Z"},{"alias_kind":"pith_short_12","alias_value":"OVEWGCAQK6HO","created_at":"2026-07-05T01:26:26Z"},{"alias_kind":"pith_short_16","alias_value":"OVEWGCAQK6HOIR32","created_at":"2026-07-05T01:26:26Z"},{"alias_kind":"pith_short_8","alias_value":"OVEWGCAQ","created_at":"2026-07-05T01:26:26Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:OVEWGCAQK6HOIR32G5747F7OTW","target":"record","payload":{"canonical_record":{"source":{"id":"2008.04578","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2020-08-11T08:33:20Z","cross_cats_sorted":["cs.CY","cs.SD"],"title_canon_sha256":"5f475cd559099fefac5d9706599f4225ac2cb9f3be1a44a0a7e7e7e04bd8bb77","abstract_canon_sha256":"58f1ab26e3e27953c58951bc72637b4999830fec5f6c7b9fab4f5dddb007c733"},"schema_version":"1.0"},"canonical_sha256":"7549630810578ee4477a377fcf97ee9d869f73510d692787db2b1d97d48ae9f3","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:26:26.635084Z","signature_b64":"oHiBDyRBIPYJrVcuQBGGBgAQl2X6loiZJ+heGtFZifCaz1IcgnxOPgPIUXE8L9ZHy+++SxpJK3ke0xBngZ8VAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7549630810578ee4477a377fcf97ee9d869f73510d692787db2b1d97d48ae9f3","last_reissued_at":"2026-07-05T01:26:26.634648Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:26:26.634648Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2008.04578","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":"2026-07-05T01:26:26Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"tM2cpLhzmQgB9fu+eI4temUYV86if2YAJX+dDEq9lnsKLCHuq55rHNFkuGlwhL+lKaZUYq7yrt3v+yi8ceSXDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T09:57:29.416827Z"},"content_sha256":"1ecece2fe0c86ba4ab94cccbffbba9ed5d3e6aadba5b0d6c67317bbf8d33b8bd","schema_version":"1.0","event_id":"sha256:1ecece2fe0c86ba4ab94cccbffbba9ed5d3e6aadba5b0d6c67317bbf8d33b8bd"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:OVEWGCAQK6HOIR32G5747F7OTW","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Why Did the x-Vector System Miss a Target Speaker? Impact of Acoustic Mismatch Upon Target Score on VoxCeleb Data","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CY","cs.SD"],"primary_cat":"eess.AS","authors_text":"Rosa Gonz\\'alez Hautam\\\"aki, Tomi Kinnunen","submitted_at":"2020-08-11T08:33:20Z","abstract_excerpt":"Modern automatic speaker verification (ASV) relies heavily on machine learning implemented through deep neural networks. It can be difficult to interpret the output of these black boxes. In line with interpretative machine learning, we model the dependency of ASV detection score upon acoustic mismatch of the enrollment and test utterances. We aim to identify mismatch factors that explain target speaker misses (false rejections). We use distance in the first- and second-order statistics of selected acoustic features as the predictors in a linear mixed effects model, while a standard Kaldi x-vec"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2008.04578","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2008.04578/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":"2026-07-05T01:26:26Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"X8gIkQ7zO7Yk0FuzoeR55Hn5fEKyQmOLkmtxofAJC3NplgzNK4iawxicbdldCAbwwZM3fdB6v9BPTUwr0GjBCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T09:57:29.417810Z"},"content_sha256":"6d2c85f519d60b6ba060371af9f323723dd727f45a7f8c30dea0f36e4436132b","schema_version":"1.0","event_id":"sha256:6d2c85f519d60b6ba060371af9f323723dd727f45a7f8c30dea0f36e4436132b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/OVEWGCAQK6HOIR32G5747F7OTW/bundle.json","state_url":"https://pith.science/pith/OVEWGCAQK6HOIR32G5747F7OTW/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/OVEWGCAQK6HOIR32G5747F7OTW/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":"2026-08-12T09:57:29Z","links":{"resolver":"https://pith.science/pith/OVEWGCAQK6HOIR32G5747F7OTW","bundle":"https://pith.science/pith/OVEWGCAQK6HOIR32G5747F7OTW/bundle.json","state":"https://pith.science/pith/OVEWGCAQK6HOIR32G5747F7OTW/state.json","well_known_bundle":"https://pith.science/.well-known/pith/OVEWGCAQK6HOIR32G5747F7OTW/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:OVEWGCAQK6HOIR32G5747F7OTW","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":"58f1ab26e3e27953c58951bc72637b4999830fec5f6c7b9fab4f5dddb007c733","cross_cats_sorted":["cs.CY","cs.SD"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2020-08-11T08:33:20Z","title_canon_sha256":"5f475cd559099fefac5d9706599f4225ac2cb9f3be1a44a0a7e7e7e04bd8bb77"},"schema_version":"1.0","source":{"id":"2008.04578","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2008.04578","created_at":"2026-07-05T01:26:26Z"},{"alias_kind":"arxiv_version","alias_value":"2008.04578v1","created_at":"2026-07-05T01:26:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2008.04578","created_at":"2026-07-05T01:26:26Z"},{"alias_kind":"pith_short_12","alias_value":"OVEWGCAQK6HO","created_at":"2026-07-05T01:26:26Z"},{"alias_kind":"pith_short_16","alias_value":"OVEWGCAQK6HOIR32","created_at":"2026-07-05T01:26:26Z"},{"alias_kind":"pith_short_8","alias_value":"OVEWGCAQ","created_at":"2026-07-05T01:26:26Z"}],"graph_snapshots":[{"event_id":"sha256:6d2c85f519d60b6ba060371af9f323723dd727f45a7f8c30dea0f36e4436132b","target":"graph","created_at":"2026-07-05T01:26:26Z","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/2008.04578/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Modern automatic speaker verification (ASV) relies heavily on machine learning implemented through deep neural networks. It can be difficult to interpret the output of these black boxes. In line with interpretative machine learning, we model the dependency of ASV detection score upon acoustic mismatch of the enrollment and test utterances. We aim to identify mismatch factors that explain target speaker misses (false rejections). We use distance in the first- and second-order statistics of selected acoustic features as the predictors in a linear mixed effects model, while a standard Kaldi x-vec","authors_text":"Rosa Gonz\\'alez Hautam\\\"aki, Tomi Kinnunen","cross_cats":["cs.CY","cs.SD"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2020-08-11T08:33:20Z","title":"Why Did the x-Vector System Miss a Target Speaker? Impact of Acoustic Mismatch Upon Target Score on VoxCeleb Data"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2008.04578","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":"sha256:1ecece2fe0c86ba4ab94cccbffbba9ed5d3e6aadba5b0d6c67317bbf8d33b8bd","target":"record","created_at":"2026-07-05T01:26:26Z","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":"58f1ab26e3e27953c58951bc72637b4999830fec5f6c7b9fab4f5dddb007c733","cross_cats_sorted":["cs.CY","cs.SD"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2020-08-11T08:33:20Z","title_canon_sha256":"5f475cd559099fefac5d9706599f4225ac2cb9f3be1a44a0a7e7e7e04bd8bb77"},"schema_version":"1.0","source":{"id":"2008.04578","kind":"arxiv","version":1}},"canonical_sha256":"7549630810578ee4477a377fcf97ee9d869f73510d692787db2b1d97d48ae9f3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7549630810578ee4477a377fcf97ee9d869f73510d692787db2b1d97d48ae9f3","first_computed_at":"2026-07-05T01:26:26.634648Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:26:26.634648Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"oHiBDyRBIPYJrVcuQBGGBgAQl2X6loiZJ+heGtFZifCaz1IcgnxOPgPIUXE8L9ZHy+++SxpJK3ke0xBngZ8VAg==","signature_status":"signed_v1","signed_at":"2026-07-05T01:26:26.635084Z","signed_message":"canonical_sha256_bytes"},"source_id":"2008.04578","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1ecece2fe0c86ba4ab94cccbffbba9ed5d3e6aadba5b0d6c67317bbf8d33b8bd","sha256:6d2c85f519d60b6ba060371af9f323723dd727f45a7f8c30dea0f36e4436132b"],"state_sha256":"d62355adbebd3c6e881512d73cfa42922d7f1ca919125f99f415209bf65aa901"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"VDRJkxwqLePu2SKwB92lJ3fGsHxreA2JxsftGiHrqQRBTseaKqBYB62C/ghK5Madw+owb/YX2Zb3GfnW5A7dCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-12T09:57:29.424772Z","bundle_sha256":"8ce41cc506a2267ba4c49df4b5de64365d1fd07917be9d49b40a661d1c1b76af"}}