{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2014:VRPPXWBRVDJGXJ375MJ7QJ6K6T","short_pith_number":"pith:VRPPXWBR","schema_version":"1.0","canonical_sha256":"ac5efbd831a8d26ba77feb13f827caf4ef6fb75ea232a7e764de0e870cb17e85","source":{"kind":"arxiv","id":"1412.6645","version":3},"attestation_state":"computed","paper":{"title":"Weakly Supervised Multi-Embeddings Learning of Acoustic Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CL","cs.LG"],"primary_cat":"cs.SD","authors_text":"Emmanuel Dupoux, Gabriel Synnaeve","submitted_at":"2014-12-20T11:54:41Z","abstract_excerpt":"We trained a Siamese network with multi-task same/different information on a speech dataset, and found that it was possible to share a network for both tasks without a loss in performance. The first task was to discriminate between two same or different words, and the second was to discriminate between two same or different talkers."},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1412.6645","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2014-12-20T11:54:41Z","cross_cats_sorted":["cs.CL","cs.LG"],"title_canon_sha256":"da98f04085171a128f31f3e3e605cf5155eb7a3ec73a0c6ef20971832505b4ad","abstract_canon_sha256":"8760321657cb0b040d051548b294b1f081c6904e38ae7dfa80192dac0dbc250c"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:18:23.484427Z","signature_b64":"EdIgewNRVQxeI2D5svyuSP5KGlF/EJHEgkkKCyGUst+xqMeDvdD0iiEcPjRQWzqtt6R8h5tkuBllS2/OPYDKAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ac5efbd831a8d26ba77feb13f827caf4ef6fb75ea232a7e764de0e870cb17e85","last_reissued_at":"2026-05-18T02:18:23.483805Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:18:23.483805Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Weakly Supervised Multi-Embeddings Learning of Acoustic Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CL","cs.LG"],"primary_cat":"cs.SD","authors_text":"Emmanuel Dupoux, Gabriel Synnaeve","submitted_at":"2014-12-20T11:54:41Z","abstract_excerpt":"We trained a Siamese network with multi-task same/different information on a speech dataset, and found that it was possible to share a network for both tasks without a loss in performance. The first task was to discriminate between two same or different words, and the second was to discriminate between two same or different talkers."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1412.6645","kind":"arxiv","version":3},"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"},"aliases":[{"alias_kind":"arxiv","alias_value":"1412.6645","created_at":"2026-05-18T02:18:23.483892+00:00"},{"alias_kind":"arxiv_version","alias_value":"1412.6645v3","created_at":"2026-05-18T02:18:23.483892+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1412.6645","created_at":"2026-05-18T02:18:23.483892+00:00"},{"alias_kind":"pith_short_12","alias_value":"VRPPXWBRVDJG","created_at":"2026-05-18T12:28:54.890064+00:00"},{"alias_kind":"pith_short_16","alias_value":"VRPPXWBRVDJGXJ37","created_at":"2026-05-18T12:28:54.890064+00:00"},{"alias_kind":"pith_short_8","alias_value":"VRPPXWBR","created_at":"2026-05-18T12:28:54.890064+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"1908.03538","citing_title":"Exploiting Cross-Lingual Speaker and Phonetic Diversity for Unsupervised Subword Modeling","ref_index":15,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/VRPPXWBRVDJGXJ375MJ7QJ6K6T","json":"https://pith.science/pith/VRPPXWBRVDJGXJ375MJ7QJ6K6T.json","graph_json":"https://pith.science/api/pith-number/VRPPXWBRVDJGXJ375MJ7QJ6K6T/graph.json","events_json":"https://pith.science/api/pith-number/VRPPXWBRVDJGXJ375MJ7QJ6K6T/events.json","paper":"https://pith.science/paper/VRPPXWBR"},"agent_actions":{"view_html":"https://pith.science/pith/VRPPXWBRVDJGXJ375MJ7QJ6K6T","download_json":"https://pith.science/pith/VRPPXWBRVDJGXJ375MJ7QJ6K6T.json","view_paper":"https://pith.science/paper/VRPPXWBR","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1412.6645&json=true","fetch_graph":"https://pith.science/api/pith-number/VRPPXWBRVDJGXJ375MJ7QJ6K6T/graph.json","fetch_events":"https://pith.science/api/pith-number/VRPPXWBRVDJGXJ375MJ7QJ6K6T/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/VRPPXWBRVDJGXJ375MJ7QJ6K6T/action/timestamp_anchor","attest_storage":"https://pith.science/pith/VRPPXWBRVDJGXJ375MJ7QJ6K6T/action/storage_attestation","attest_author":"https://pith.science/pith/VRPPXWBRVDJGXJ375MJ7QJ6K6T/action/author_attestation","sign_citation":"https://pith.science/pith/VRPPXWBRVDJGXJ375MJ7QJ6K6T/action/citation_signature","submit_replication":"https://pith.science/pith/VRPPXWBRVDJGXJ375MJ7QJ6K6T/action/replication_record"}},"created_at":"2026-05-18T02:18:23.483892+00:00","updated_at":"2026-05-18T02:18:23.483892+00:00"}