{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:FHI5K6UPOOLSDMTRWPCGKA5YB7","short_pith_number":"pith:FHI5K6UP","canonical_record":{"source":{"id":"1812.07159","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2018-12-18T04:04:38Z","cross_cats_sorted":["cs.LG","eess.AS","stat.ML"],"title_canon_sha256":"5ee29414cd146a57fbb9dc37994794b42943237efa526e63c656c8e4ee52f8b8","abstract_canon_sha256":"cfe8a7c9dd11fe1723502eb23afcd2bfd43db556067f136b928cc315fe315c96"},"schema_version":"1.0"},"canonical_sha256":"29d1d57a8f739721b271b3c46503b80feb25fd65a62c89e0dc81a873b7d94d81","source":{"kind":"arxiv","id":"1812.07159","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1812.07159","created_at":"2026-05-17T23:57:30Z"},{"alias_kind":"arxiv_version","alias_value":"1812.07159v2","created_at":"2026-05-17T23:57:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1812.07159","created_at":"2026-05-17T23:57:30Z"},{"alias_kind":"pith_short_12","alias_value":"FHI5K6UPOOLS","created_at":"2026-05-18T12:32:22Z"},{"alias_kind":"pith_short_16","alias_value":"FHI5K6UPOOLSDMTR","created_at":"2026-05-18T12:32:22Z"},{"alias_kind":"pith_short_8","alias_value":"FHI5K6UP","created_at":"2026-05-18T12:32:22Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:FHI5K6UPOOLSDMTRWPCGKA5YB7","target":"record","payload":{"canonical_record":{"source":{"id":"1812.07159","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2018-12-18T04:04:38Z","cross_cats_sorted":["cs.LG","eess.AS","stat.ML"],"title_canon_sha256":"5ee29414cd146a57fbb9dc37994794b42943237efa526e63c656c8e4ee52f8b8","abstract_canon_sha256":"cfe8a7c9dd11fe1723502eb23afcd2bfd43db556067f136b928cc315fe315c96"},"schema_version":"1.0"},"canonical_sha256":"29d1d57a8f739721b271b3c46503b80feb25fd65a62c89e0dc81a873b7d94d81","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:57:30.530514Z","signature_b64":"iyPXVa1odCDHjAElXGPTocnpjAmhXVBezTu8OqIc/7ly2VN7315KbMdvEYZtv7gd7mxdCxUhajaMtnxFX6trBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"29d1d57a8f739721b271b3c46503b80feb25fd65a62c89e0dc81a873b7d94d81","last_reissued_at":"2026-05-17T23:57:30.529862Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:57:30.529862Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1812.07159","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":"2026-05-17T23:57:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"T/igj01iuiJTYQ288GFxHGSjPdLcvWzph1iWsnLLql2nxYH4GIzppq0tQrJF5zEII+n1GnzllO2wAyzCzyT3CA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-28T04:34:15.359475Z"},"content_sha256":"c8ff490ffbac20b5a576980fd27c2cc55c5e3971bf41228376a12ee28d11f6f0","schema_version":"1.0","event_id":"sha256:c8ff490ffbac20b5a576980fd27c2cc55c5e3971bf41228376a12ee28d11f6f0"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:FHI5K6UPOOLSDMTRWPCGKA5YB7","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Autoencoder Based Architecture For Fast & Real Time Audio Style Transfer","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","eess.AS","stat.ML"],"primary_cat":"cs.SD","authors_text":"Anirban Panda, Asad Ahmed, Dhruv Ramani, Pratham Tangri, Samarjit Karmakar","submitted_at":"2018-12-18T04:04:38Z","abstract_excerpt":"Recently, there has been great interest in the field of audio style transfer, where a stylized audio is generated by imposing the style of a reference audio on the content of a target audio. We improve on the current approaches which use neural networks to extract the content and the style of the audio signal and propose a new autoencoder based architecture for the task. This network generates a stylized audio for a content audio in a single forward pass. The proposed network architecture proves to be advantageous over the quality of audio produced and the time taken to train the network. The "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1812.07159","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":""},"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":"2026-05-17T23:57:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9pl7QVcbHQ7GfJfbTf0GeNJmF9SsWL3k/fvz4ZFKKFoe/iUrKUubNnz8//fVJzX62KODHlp2VzhkHA9QpvzqDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-28T04:34:15.359816Z"},"content_sha256":"3db1f037f1b244784b149fde2208394853709ae00f2f92444c34ff5c0af38ca4","schema_version":"1.0","event_id":"sha256:3db1f037f1b244784b149fde2208394853709ae00f2f92444c34ff5c0af38ca4"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/FHI5K6UPOOLSDMTRWPCGKA5YB7/bundle.json","state_url":"https://pith.science/pith/FHI5K6UPOOLSDMTRWPCGKA5YB7/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/FHI5K6UPOOLSDMTRWPCGKA5YB7/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":"2026-06-28T04:34:15Z","links":{"resolver":"https://pith.science/pith/FHI5K6UPOOLSDMTRWPCGKA5YB7","bundle":"https://pith.science/pith/FHI5K6UPOOLSDMTRWPCGKA5YB7/bundle.json","state":"https://pith.science/pith/FHI5K6UPOOLSDMTRWPCGKA5YB7/state.json","well_known_bundle":"https://pith.science/.well-known/pith/FHI5K6UPOOLSDMTRWPCGKA5YB7/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:FHI5K6UPOOLSDMTRWPCGKA5YB7","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":"cfe8a7c9dd11fe1723502eb23afcd2bfd43db556067f136b928cc315fe315c96","cross_cats_sorted":["cs.LG","eess.AS","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2018-12-18T04:04:38Z","title_canon_sha256":"5ee29414cd146a57fbb9dc37994794b42943237efa526e63c656c8e4ee52f8b8"},"schema_version":"1.0","source":{"id":"1812.07159","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1812.07159","created_at":"2026-05-17T23:57:30Z"},{"alias_kind":"arxiv_version","alias_value":"1812.07159v2","created_at":"2026-05-17T23:57:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1812.07159","created_at":"2026-05-17T23:57:30Z"},{"alias_kind":"pith_short_12","alias_value":"FHI5K6UPOOLS","created_at":"2026-05-18T12:32:22Z"},{"alias_kind":"pith_short_16","alias_value":"FHI5K6UPOOLSDMTR","created_at":"2026-05-18T12:32:22Z"},{"alias_kind":"pith_short_8","alias_value":"FHI5K6UP","created_at":"2026-05-18T12:32:22Z"}],"graph_snapshots":[{"event_id":"sha256:3db1f037f1b244784b149fde2208394853709ae00f2f92444c34ff5c0af38ca4","target":"graph","created_at":"2026-05-17T23:57:30Z","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":"Recently, there has been great interest in the field of audio style transfer, where a stylized audio is generated by imposing the style of a reference audio on the content of a target audio. We improve on the current approaches which use neural networks to extract the content and the style of the audio signal and propose a new autoencoder based architecture for the task. This network generates a stylized audio for a content audio in a single forward pass. The proposed network architecture proves to be advantageous over the quality of audio produced and the time taken to train the network. The ","authors_text":"Anirban Panda, Asad Ahmed, Dhruv Ramani, Pratham Tangri, Samarjit Karmakar","cross_cats":["cs.LG","eess.AS","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2018-12-18T04:04:38Z","title":"Autoencoder Based Architecture For Fast & Real Time Audio Style Transfer"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1812.07159","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:c8ff490ffbac20b5a576980fd27c2cc55c5e3971bf41228376a12ee28d11f6f0","target":"record","created_at":"2026-05-17T23:57:30Z","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":"cfe8a7c9dd11fe1723502eb23afcd2bfd43db556067f136b928cc315fe315c96","cross_cats_sorted":["cs.LG","eess.AS","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2018-12-18T04:04:38Z","title_canon_sha256":"5ee29414cd146a57fbb9dc37994794b42943237efa526e63c656c8e4ee52f8b8"},"schema_version":"1.0","source":{"id":"1812.07159","kind":"arxiv","version":2}},"canonical_sha256":"29d1d57a8f739721b271b3c46503b80feb25fd65a62c89e0dc81a873b7d94d81","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"29d1d57a8f739721b271b3c46503b80feb25fd65a62c89e0dc81a873b7d94d81","first_computed_at":"2026-05-17T23:57:30.529862Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:57:30.529862Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"iyPXVa1odCDHjAElXGPTocnpjAmhXVBezTu8OqIc/7ly2VN7315KbMdvEYZtv7gd7mxdCxUhajaMtnxFX6trBA==","signature_status":"signed_v1","signed_at":"2026-05-17T23:57:30.530514Z","signed_message":"canonical_sha256_bytes"},"source_id":"1812.07159","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c8ff490ffbac20b5a576980fd27c2cc55c5e3971bf41228376a12ee28d11f6f0","sha256:3db1f037f1b244784b149fde2208394853709ae00f2f92444c34ff5c0af38ca4"],"state_sha256":"6ffedc78e1924b2b1b3a4250407e14d3c377a3c08f152388f697d25b0b046e08"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8fzRjcvjJ2mHAvWCf5/CaNXIZXwIw1k4rKNOCjGDimyHSqtfE8yf2mvJ1wBGXZp91CtioXqqxjem2RmVDpHSDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-28T04:34:15.361695Z","bundle_sha256":"ba2a6e4ba61237fdc459e97aea03f33e032a30426496dc7ecadf7f665211132e"}}