{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:WRYHL3ZW34LETYMBQYOJDEUDIG","short_pith_number":"pith:WRYHL3ZW","canonical_record":{"source":{"id":"2407.15458","kind":"arxiv","version":4},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"eess.AS","submitted_at":"2024-07-22T08:14:16Z","cross_cats_sorted":["cs.SD"],"title_canon_sha256":"8fb8f548e5a9097c9c6ad9a1ec1f0db0cd915fc4b06be2f255b3bb4185477f4d","abstract_canon_sha256":"c12a0f828831f692c8cefe90246309f3ba04d4af177ca42f2f4d4a5627ed1372"},"schema_version":"1.0"},"canonical_sha256":"b47075ef36df1649e181861c9192834186dccfeefd24b105a00142dcf3ff1ccb","source":{"kind":"arxiv","id":"2407.15458","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.15458","created_at":"2026-07-05T08:50:14Z"},{"alias_kind":"arxiv_version","alias_value":"2407.15458v4","created_at":"2026-07-05T08:50:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.15458","created_at":"2026-07-05T08:50:14Z"},{"alias_kind":"pith_short_12","alias_value":"WRYHL3ZW34LE","created_at":"2026-07-05T08:50:14Z"},{"alias_kind":"pith_short_16","alias_value":"WRYHL3ZW34LETYMB","created_at":"2026-07-05T08:50:14Z"},{"alias_kind":"pith_short_8","alias_value":"WRYHL3ZW","created_at":"2026-07-05T08:50:14Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:WRYHL3ZW34LETYMBQYOJDEUDIG","target":"record","payload":{"canonical_record":{"source":{"id":"2407.15458","kind":"arxiv","version":4},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"eess.AS","submitted_at":"2024-07-22T08:14:16Z","cross_cats_sorted":["cs.SD"],"title_canon_sha256":"8fb8f548e5a9097c9c6ad9a1ec1f0db0cd915fc4b06be2f255b3bb4185477f4d","abstract_canon_sha256":"c12a0f828831f692c8cefe90246309f3ba04d4af177ca42f2f4d4a5627ed1372"},"schema_version":"1.0"},"canonical_sha256":"b47075ef36df1649e181861c9192834186dccfeefd24b105a00142dcf3ff1ccb","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:50:14.348297Z","signature_b64":"W935Pxmn+Apkhy5bEdhzTujHDh8V7QBhx7DQcCEU1Kfc3OsX4TDKMYVHHKr/YWsYoaWTaRTXLPaua7BYqwjkDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b47075ef36df1649e181861c9192834186dccfeefd24b105a00142dcf3ff1ccb","last_reissued_at":"2026-07-05T08:50:14.347851Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:50:14.347851Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2407.15458","source_version":4,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T08:50:14Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"28d9dfHyiZQHKOsszoOF02A2eu8QCD6lrXi+UXoozdhQhIhudvN55EeJkc+MFNYzHyRvxKuVEaZBvebjjrcqCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T15:03:17.899141Z"},"content_sha256":"757260b67f33cd37e23cfb5e7f76b85567f195607fa771c1c412766dd0b911ce","schema_version":"1.0","event_id":"sha256:757260b67f33cd37e23cfb5e7f76b85567f195607fa771c1c412766dd0b911ce"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:WRYHL3ZW34LETYMBQYOJDEUDIG","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"EMO-Codec: An In-Depth Look at Emotion Preservation capacity of Legacy and Neural Codec Models With Subjective and Objective Evaluations","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.SD"],"primary_cat":"eess.AS","authors_text":"Chi-Chun Lee, Haibin Wu, Huang-Cheng Chou, Hung-yi Lee, Wenze Ren, Yi-Cheng Lin, Yi-Chiao Wu, Yu Tsao","submitted_at":"2024-07-22T08:14:16Z","abstract_excerpt":"The neural codec model reduces speech data transmission delay and serves as the foundational tokenizer for speech language models (speech LMs). Preserving emotional information in codecs is crucial for effective communication and context understanding. However, there is a lack of studies on emotion loss in existing codecs. This paper evaluates neural and legacy codecs using subjective and objective methods on emotion datasets like IEMOCAP. Our study identifies which codecs best preserve emotional information under various bitrate scenarios. We found that training codec models with both English"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.15458","kind":"arxiv","version":4},"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/2407.15458/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":"2026-07-05T08:50:14Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"veWqM+xAYyLBRFYPA8pVOX3jiYeaBi4gMRQiCJods0cE6dyeB3YZSwojLVLVp/WM9Z6L/g4K293AG2dGEvr/Aw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T15:03:17.900270Z"},"content_sha256":"4d440f7a0bbe639bea7ff01b637ca30845aed2579edceb9f47d1f7486d2e3404","schema_version":"1.0","event_id":"sha256:4d440f7a0bbe639bea7ff01b637ca30845aed2579edceb9f47d1f7486d2e3404"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/WRYHL3ZW34LETYMBQYOJDEUDIG/bundle.json","state_url":"https://pith.science/pith/WRYHL3ZW34LETYMBQYOJDEUDIG/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/WRYHL3ZW34LETYMBQYOJDEUDIG/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":"2026-08-06T15:03:17Z","links":{"resolver":"https://pith.science/pith/WRYHL3ZW34LETYMBQYOJDEUDIG","bundle":"https://pith.science/pith/WRYHL3ZW34LETYMBQYOJDEUDIG/bundle.json","state":"https://pith.science/pith/WRYHL3ZW34LETYMBQYOJDEUDIG/state.json","well_known_bundle":"https://pith.science/.well-known/pith/WRYHL3ZW34LETYMBQYOJDEUDIG/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:WRYHL3ZW34LETYMBQYOJDEUDIG","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":"c12a0f828831f692c8cefe90246309f3ba04d4af177ca42f2f4d4a5627ed1372","cross_cats_sorted":["cs.SD"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"eess.AS","submitted_at":"2024-07-22T08:14:16Z","title_canon_sha256":"8fb8f548e5a9097c9c6ad9a1ec1f0db0cd915fc4b06be2f255b3bb4185477f4d"},"schema_version":"1.0","source":{"id":"2407.15458","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.15458","created_at":"2026-07-05T08:50:14Z"},{"alias_kind":"arxiv_version","alias_value":"2407.15458v4","created_at":"2026-07-05T08:50:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.15458","created_at":"2026-07-05T08:50:14Z"},{"alias_kind":"pith_short_12","alias_value":"WRYHL3ZW34LE","created_at":"2026-07-05T08:50:14Z"},{"alias_kind":"pith_short_16","alias_value":"WRYHL3ZW34LETYMB","created_at":"2026-07-05T08:50:14Z"},{"alias_kind":"pith_short_8","alias_value":"WRYHL3ZW","created_at":"2026-07-05T08:50:14Z"}],"graph_snapshots":[{"event_id":"sha256:4d440f7a0bbe639bea7ff01b637ca30845aed2579edceb9f47d1f7486d2e3404","target":"graph","created_at":"2026-07-05T08:50:14Z","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/2407.15458/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The neural codec model reduces speech data transmission delay and serves as the foundational tokenizer for speech language models (speech LMs). Preserving emotional information in codecs is crucial for effective communication and context understanding. However, there is a lack of studies on emotion loss in existing codecs. This paper evaluates neural and legacy codecs using subjective and objective methods on emotion datasets like IEMOCAP. Our study identifies which codecs best preserve emotional information under various bitrate scenarios. We found that training codec models with both English","authors_text":"Chi-Chun Lee, Haibin Wu, Huang-Cheng Chou, Hung-yi Lee, Wenze Ren, Yi-Cheng Lin, Yi-Chiao Wu, Yu Tsao","cross_cats":["cs.SD"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"eess.AS","submitted_at":"2024-07-22T08:14:16Z","title":"EMO-Codec: An In-Depth Look at Emotion Preservation capacity of Legacy and Neural Codec Models With Subjective and Objective Evaluations"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.15458","kind":"arxiv","version":4},"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":"sha256:757260b67f33cd37e23cfb5e7f76b85567f195607fa771c1c412766dd0b911ce","target":"record","created_at":"2026-07-05T08:50:14Z","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":"c12a0f828831f692c8cefe90246309f3ba04d4af177ca42f2f4d4a5627ed1372","cross_cats_sorted":["cs.SD"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"eess.AS","submitted_at":"2024-07-22T08:14:16Z","title_canon_sha256":"8fb8f548e5a9097c9c6ad9a1ec1f0db0cd915fc4b06be2f255b3bb4185477f4d"},"schema_version":"1.0","source":{"id":"2407.15458","kind":"arxiv","version":4}},"canonical_sha256":"b47075ef36df1649e181861c9192834186dccfeefd24b105a00142dcf3ff1ccb","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b47075ef36df1649e181861c9192834186dccfeefd24b105a00142dcf3ff1ccb","first_computed_at":"2026-07-05T08:50:14.347851Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:50:14.347851Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"W935Pxmn+Apkhy5bEdhzTujHDh8V7QBhx7DQcCEU1Kfc3OsX4TDKMYVHHKr/YWsYoaWTaRTXLPaua7BYqwjkDw==","signature_status":"signed_v1","signed_at":"2026-07-05T08:50:14.348297Z","signed_message":"canonical_sha256_bytes"},"source_id":"2407.15458","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:757260b67f33cd37e23cfb5e7f76b85567f195607fa771c1c412766dd0b911ce","sha256:4d440f7a0bbe639bea7ff01b637ca30845aed2579edceb9f47d1f7486d2e3404"],"state_sha256":"d5af65d5433d8c75a59789a2036b30e12e8507d549623acb2e40539c6cb9d6bc"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4Ch9y/RXKKE8L51SvcrYJ5psRPxaOfF3Vm2KhqpPE1HFU+yww4wQ6ho8BmxlapHtmtsaYVw5i5z7SDCKtB8xAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T15:03:17.906641Z","bundle_sha256":"7056355c52027ffef1249a078e532aa9b605551e82be79031a5c748c36501e90"}}