{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:TNYOXEV7SL3KNL5RPZKJMASWAM","short_pith_number":"pith:TNYOXEV7","canonical_record":{"source":{"id":"2010.11255","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2020-10-21T19:20:28Z","cross_cats_sorted":["eess.AS"],"title_canon_sha256":"1df1da070885f5f00dc5df5ab5c074fa957acd0f32a9c3116f971c307a4dd47c","abstract_canon_sha256":"f6d3365ae2925efd7279391716aea3630296d04b8873fde404b1c30f0786f714"},"schema_version":"1.0"},"canonical_sha256":"9b70eb92bf92f6a6afb17e54960256030843de656b456a94309db321d0ff3fe1","source":{"kind":"arxiv","id":"2010.11255","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2010.11255","created_at":"2026-07-05T02:52:27Z"},{"alias_kind":"arxiv_version","alias_value":"2010.11255v2","created_at":"2026-07-05T02:52:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2010.11255","created_at":"2026-07-05T02:52:27Z"},{"alias_kind":"pith_short_12","alias_value":"TNYOXEV7SL3K","created_at":"2026-07-05T02:52:27Z"},{"alias_kind":"pith_short_16","alias_value":"TNYOXEV7SL3KNL5R","created_at":"2026-07-05T02:52:27Z"},{"alias_kind":"pith_short_8","alias_value":"TNYOXEV7","created_at":"2026-07-05T02:52:27Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:TNYOXEV7SL3KNL5RPZKJMASWAM","target":"record","payload":{"canonical_record":{"source":{"id":"2010.11255","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2020-10-21T19:20:28Z","cross_cats_sorted":["eess.AS"],"title_canon_sha256":"1df1da070885f5f00dc5df5ab5c074fa957acd0f32a9c3116f971c307a4dd47c","abstract_canon_sha256":"f6d3365ae2925efd7279391716aea3630296d04b8873fde404b1c30f0786f714"},"schema_version":"1.0"},"canonical_sha256":"9b70eb92bf92f6a6afb17e54960256030843de656b456a94309db321d0ff3fe1","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:52:27.333817Z","signature_b64":"LVBQn2v0yjmBKZDnmZqo1m94QKWOXrcNE1+RojvdhJ2u5ZoFm6DWX6LZqbf5XTKriwP8IReq3RIWCJEPnWSqBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9b70eb92bf92f6a6afb17e54960256030843de656b456a94309db321d0ff3fe1","last_reissued_at":"2026-07-05T02:52:27.333377Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:52:27.333377Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2010.11255","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":"2026-07-05T02:52:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wZDk2m35gHPbZnHDoBZZw0GxespS3Yk4vyWql5NS0/t0tflA5lYTqP8g0IjrNCIZTZ4jjjQTJUOvam+OsAjVDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-08T15:58:56.798016Z"},"content_sha256":"e41e5b414157d747c3c320976c40c25f429192075636c8181e4dceb98b58d7c0","schema_version":"1.0","event_id":"sha256:e41e5b414157d747c3c320976c40c25f429192075636c8181e4dceb98b58d7c0"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:TNYOXEV7SL3KNL5RPZKJMASWAM","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"The IDLAB VoxSRC-20 Submission: Large Margin Fine-Tuning and Quality-Aware Score Calibration in DNN Based Speaker Verification","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["eess.AS"],"primary_cat":"cs.SD","authors_text":"Brecht Desplanques, Jenthe Thienpondt, Kris Demuynck","submitted_at":"2020-10-21T19:20:28Z","abstract_excerpt":"In this paper we propose and analyse a large margin fine-tuning strategy and a quality-aware score calibration in text-independent speaker verification. Large margin fine-tuning is a secondary training stage for DNN based speaker verification systems trained with margin-based loss functions. It enables the network to create more robust speaker embeddings by enabling the use of longer training utterances in combination with a more aggressive margin penalty. Score calibration is a common practice in speaker verification systems to map output scores to well-calibrated log-likelihood-ratios, which"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2010.11255","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/2010.11255/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":"2026-07-05T02:52:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3nk0fT2BFJux+lNzGW1LfJLTyMQ4RejpoffMY41BDD667gLgY60U+He0kVhNwCSQBAJDss3am0/HwTNhT/E3Bg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-08T15:58:56.798416Z"},"content_sha256":"c4af737aea3d6a397af7601ae54d50581c6345c614fd25392a0387f94ec825af","schema_version":"1.0","event_id":"sha256:c4af737aea3d6a397af7601ae54d50581c6345c614fd25392a0387f94ec825af"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/TNYOXEV7SL3KNL5RPZKJMASWAM/bundle.json","state_url":"https://pith.science/pith/TNYOXEV7SL3KNL5RPZKJMASWAM/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/TNYOXEV7SL3KNL5RPZKJMASWAM/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":"2026-07-08T15:58:56Z","links":{"resolver":"https://pith.science/pith/TNYOXEV7SL3KNL5RPZKJMASWAM","bundle":"https://pith.science/pith/TNYOXEV7SL3KNL5RPZKJMASWAM/bundle.json","state":"https://pith.science/pith/TNYOXEV7SL3KNL5RPZKJMASWAM/state.json","well_known_bundle":"https://pith.science/.well-known/pith/TNYOXEV7SL3KNL5RPZKJMASWAM/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:TNYOXEV7SL3KNL5RPZKJMASWAM","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":"f6d3365ae2925efd7279391716aea3630296d04b8873fde404b1c30f0786f714","cross_cats_sorted":["eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2020-10-21T19:20:28Z","title_canon_sha256":"1df1da070885f5f00dc5df5ab5c074fa957acd0f32a9c3116f971c307a4dd47c"},"schema_version":"1.0","source":{"id":"2010.11255","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2010.11255","created_at":"2026-07-05T02:52:27Z"},{"alias_kind":"arxiv_version","alias_value":"2010.11255v2","created_at":"2026-07-05T02:52:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2010.11255","created_at":"2026-07-05T02:52:27Z"},{"alias_kind":"pith_short_12","alias_value":"TNYOXEV7SL3K","created_at":"2026-07-05T02:52:27Z"},{"alias_kind":"pith_short_16","alias_value":"TNYOXEV7SL3KNL5R","created_at":"2026-07-05T02:52:27Z"},{"alias_kind":"pith_short_8","alias_value":"TNYOXEV7","created_at":"2026-07-05T02:52:27Z"}],"graph_snapshots":[{"event_id":"sha256:c4af737aea3d6a397af7601ae54d50581c6345c614fd25392a0387f94ec825af","target":"graph","created_at":"2026-07-05T02:52:27Z","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/2010.11255/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this paper we propose and analyse a large margin fine-tuning strategy and a quality-aware score calibration in text-independent speaker verification. Large margin fine-tuning is a secondary training stage for DNN based speaker verification systems trained with margin-based loss functions. It enables the network to create more robust speaker embeddings by enabling the use of longer training utterances in combination with a more aggressive margin penalty. Score calibration is a common practice in speaker verification systems to map output scores to well-calibrated log-likelihood-ratios, which","authors_text":"Brecht Desplanques, Jenthe Thienpondt, Kris Demuynck","cross_cats":["eess.AS"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2020-10-21T19:20:28Z","title":"The IDLAB VoxSRC-20 Submission: Large Margin Fine-Tuning and Quality-Aware Score Calibration in DNN Based Speaker Verification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2010.11255","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:e41e5b414157d747c3c320976c40c25f429192075636c8181e4dceb98b58d7c0","target":"record","created_at":"2026-07-05T02:52:27Z","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":"f6d3365ae2925efd7279391716aea3630296d04b8873fde404b1c30f0786f714","cross_cats_sorted":["eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2020-10-21T19:20:28Z","title_canon_sha256":"1df1da070885f5f00dc5df5ab5c074fa957acd0f32a9c3116f971c307a4dd47c"},"schema_version":"1.0","source":{"id":"2010.11255","kind":"arxiv","version":2}},"canonical_sha256":"9b70eb92bf92f6a6afb17e54960256030843de656b456a94309db321d0ff3fe1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9b70eb92bf92f6a6afb17e54960256030843de656b456a94309db321d0ff3fe1","first_computed_at":"2026-07-05T02:52:27.333377Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:52:27.333377Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"LVBQn2v0yjmBKZDnmZqo1m94QKWOXrcNE1+RojvdhJ2u5ZoFm6DWX6LZqbf5XTKriwP8IReq3RIWCJEPnWSqBA==","signature_status":"signed_v1","signed_at":"2026-07-05T02:52:27.333817Z","signed_message":"canonical_sha256_bytes"},"source_id":"2010.11255","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e41e5b414157d747c3c320976c40c25f429192075636c8181e4dceb98b58d7c0","sha256:c4af737aea3d6a397af7601ae54d50581c6345c614fd25392a0387f94ec825af"],"state_sha256":"400f356446da7c5f7aeeadcbd3632a1eea3ef6decdf144d2150b4f52286766b4"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QLs8Hw1vjeGNPG0tzBlWrnLfoxlAR79ufvRdzH6p8nDNSePRJfWEK5+jfrwD/QfP0UXqa+vQtaCaEBAzbm8oBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-08T15:58:56.800595Z","bundle_sha256":"8d714ce95e366b58020772766b9279aa64b5a8551b132d35721b2a48ded7ef89"}}