{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:UY3JYJCHI2JVSFVOWP7N3HINCS","short_pith_number":"pith:UY3JYJCH","canonical_record":{"source":{"id":"2106.13514","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2021-06-25T09:11:18Z","cross_cats_sorted":["cs.LG","eess.AS"],"title_canon_sha256":"aea862785ed9084856b4a387546af747a21bf923902d6f1db7b491e7554410e2","abstract_canon_sha256":"6d7c0c81b6e4829a579b8934a4f92921904fe155cd8c6a408a40a7e8f88de557"},"schema_version":"1.0"},"canonical_sha256":"a6369c244746935916aeb3fedd9d0d14881838b52d00b512118ba0e43a726fd2","source":{"kind":"arxiv","id":"2106.13514","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2106.13514","created_at":"2026-07-05T02:52:20Z"},{"alias_kind":"arxiv_version","alias_value":"2106.13514v1","created_at":"2026-07-05T02:52:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2106.13514","created_at":"2026-07-05T02:52:20Z"},{"alias_kind":"pith_short_12","alias_value":"UY3JYJCHI2JV","created_at":"2026-07-05T02:52:20Z"},{"alias_kind":"pith_short_16","alias_value":"UY3JYJCHI2JVSFVO","created_at":"2026-07-05T02:52:20Z"},{"alias_kind":"pith_short_8","alias_value":"UY3JYJCH","created_at":"2026-07-05T02:52:20Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:UY3JYJCHI2JVSFVOWP7N3HINCS","target":"record","payload":{"canonical_record":{"source":{"id":"2106.13514","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2021-06-25T09:11:18Z","cross_cats_sorted":["cs.LG","eess.AS"],"title_canon_sha256":"aea862785ed9084856b4a387546af747a21bf923902d6f1db7b491e7554410e2","abstract_canon_sha256":"6d7c0c81b6e4829a579b8934a4f92921904fe155cd8c6a408a40a7e8f88de557"},"schema_version":"1.0"},"canonical_sha256":"a6369c244746935916aeb3fedd9d0d14881838b52d00b512118ba0e43a726fd2","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:52:20.319526Z","signature_b64":"98exYu3LCyJbrFGF/g9jDtMmfwX1zxYG6Fw1AuIj0cVKwUpKWyv+a9u/gVAA24vvG/JKd3a4oHoZZmpD+sMmCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a6369c244746935916aeb3fedd9d0d14881838b52d00b512118ba0e43a726fd2","last_reissued_at":"2026-07-05T02:52:20.319158Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:52:20.319158Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2106.13514","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":"2026-07-05T02:52:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8c21llMVRVYFlMPf6+vs42SbRlENeaJYadE7Vnzc3rjBW6O9QtfG5hfZsz+EUsWl9HzBgmue4S0H0cA8zsiTCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T09:51:36.316538Z"},"content_sha256":"a7b8df58450a897080ff659f21b17ce8a554bb983b10c1cede7eb2f27518ba2e","schema_version":"1.0","event_id":"sha256:a7b8df58450a897080ff659f21b17ce8a554bb983b10c1cede7eb2f27518ba2e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:UY3JYJCHI2JVSFVOWP7N3HINCS","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Phoneme-aware and Channel-wise Attentive Learning for Text DependentSpeaker Verification","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","eess.AS"],"primary_cat":"cs.SD","authors_text":"Lin Li, Qingyang Hong, Yan Liu, Zheng Li","submitted_at":"2021-06-25T09:11:18Z","abstract_excerpt":"This paper proposes a multi-task learning network with phoneme-aware and channel-wise attentive learning strategies for text-dependent Speaker Verification (SV). In the proposed structure, the frame-level multi-task learning along with the segment-level adversarial learning is adopted for speaker embedding extraction. The phoneme-aware attentive pooling is exploited on frame-level features in the main network for speaker classifier, with the corresponding posterior probability for the phoneme distribution in the auxiliary subnet. Further, the introduction of Squeeze and Excitation (SE-block) p"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2106.13514","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/2106.13514/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":"2026-07-05T02:52:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"AFhrv/DGEsPum5W0lkFKL3GZB3tdUewfeYRsK3bz9gy52M2no4d2e39PS+8CrPG8GPYmparFIphdDtuXR/GqBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T09:51:36.317400Z"},"content_sha256":"18d43e829bba2f2221364da9c02b6e97e4b340e01d18edd04b17ff24d51ca18d","schema_version":"1.0","event_id":"sha256:18d43e829bba2f2221364da9c02b6e97e4b340e01d18edd04b17ff24d51ca18d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/UY3JYJCHI2JVSFVOWP7N3HINCS/bundle.json","state_url":"https://pith.science/pith/UY3JYJCHI2JVSFVOWP7N3HINCS/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/UY3JYJCHI2JVSFVOWP7N3HINCS/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":"2026-08-13T09:51:36Z","links":{"resolver":"https://pith.science/pith/UY3JYJCHI2JVSFVOWP7N3HINCS","bundle":"https://pith.science/pith/UY3JYJCHI2JVSFVOWP7N3HINCS/bundle.json","state":"https://pith.science/pith/UY3JYJCHI2JVSFVOWP7N3HINCS/state.json","well_known_bundle":"https://pith.science/.well-known/pith/UY3JYJCHI2JVSFVOWP7N3HINCS/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:UY3JYJCHI2JVSFVOWP7N3HINCS","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":"6d7c0c81b6e4829a579b8934a4f92921904fe155cd8c6a408a40a7e8f88de557","cross_cats_sorted":["cs.LG","eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2021-06-25T09:11:18Z","title_canon_sha256":"aea862785ed9084856b4a387546af747a21bf923902d6f1db7b491e7554410e2"},"schema_version":"1.0","source":{"id":"2106.13514","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2106.13514","created_at":"2026-07-05T02:52:20Z"},{"alias_kind":"arxiv_version","alias_value":"2106.13514v1","created_at":"2026-07-05T02:52:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2106.13514","created_at":"2026-07-05T02:52:20Z"},{"alias_kind":"pith_short_12","alias_value":"UY3JYJCHI2JV","created_at":"2026-07-05T02:52:20Z"},{"alias_kind":"pith_short_16","alias_value":"UY3JYJCHI2JVSFVO","created_at":"2026-07-05T02:52:20Z"},{"alias_kind":"pith_short_8","alias_value":"UY3JYJCH","created_at":"2026-07-05T02:52:20Z"}],"graph_snapshots":[{"event_id":"sha256:18d43e829bba2f2221364da9c02b6e97e4b340e01d18edd04b17ff24d51ca18d","target":"graph","created_at":"2026-07-05T02:52:20Z","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/2106.13514/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper proposes a multi-task learning network with phoneme-aware and channel-wise attentive learning strategies for text-dependent Speaker Verification (SV). In the proposed structure, the frame-level multi-task learning along with the segment-level adversarial learning is adopted for speaker embedding extraction. The phoneme-aware attentive pooling is exploited on frame-level features in the main network for speaker classifier, with the corresponding posterior probability for the phoneme distribution in the auxiliary subnet. Further, the introduction of Squeeze and Excitation (SE-block) p","authors_text":"Lin Li, Qingyang Hong, Yan Liu, Zheng Li","cross_cats":["cs.LG","eess.AS"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2021-06-25T09:11:18Z","title":"Phoneme-aware and Channel-wise Attentive Learning for Text DependentSpeaker Verification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2106.13514","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:a7b8df58450a897080ff659f21b17ce8a554bb983b10c1cede7eb2f27518ba2e","target":"record","created_at":"2026-07-05T02:52:20Z","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":"6d7c0c81b6e4829a579b8934a4f92921904fe155cd8c6a408a40a7e8f88de557","cross_cats_sorted":["cs.LG","eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2021-06-25T09:11:18Z","title_canon_sha256":"aea862785ed9084856b4a387546af747a21bf923902d6f1db7b491e7554410e2"},"schema_version":"1.0","source":{"id":"2106.13514","kind":"arxiv","version":1}},"canonical_sha256":"a6369c244746935916aeb3fedd9d0d14881838b52d00b512118ba0e43a726fd2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a6369c244746935916aeb3fedd9d0d14881838b52d00b512118ba0e43a726fd2","first_computed_at":"2026-07-05T02:52:20.319158Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:52:20.319158Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"98exYu3LCyJbrFGF/g9jDtMmfwX1zxYG6Fw1AuIj0cVKwUpKWyv+a9u/gVAA24vvG/JKd3a4oHoZZmpD+sMmCg==","signature_status":"signed_v1","signed_at":"2026-07-05T02:52:20.319526Z","signed_message":"canonical_sha256_bytes"},"source_id":"2106.13514","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a7b8df58450a897080ff659f21b17ce8a554bb983b10c1cede7eb2f27518ba2e","sha256:18d43e829bba2f2221364da9c02b6e97e4b340e01d18edd04b17ff24d51ca18d"],"state_sha256":"12691202d14d2daf8d292c379061f574904e4d7f9135874402c3cb699839bf22"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+CLgz07B/mmjMWI6i7zrPoIhekbA2khqYOW9TXGZSjXZH7qU9XnMWYODSBznxboY199uZhm2aBfB7FwvjjYpDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-13T09:51:36.323730Z","bundle_sha256":"a7af22d84445162c24ca9850483c2c1a173301eefed99a744c2c4312443e8610"}}