{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:7X5AI4CJMGBFMZ6BQRYERC3SXK","short_pith_number":"pith:7X5AI4CJ","canonical_record":{"source":{"id":"2506.02499","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2025-06-03T06:25:53Z","cross_cats_sorted":["eess.AS"],"title_canon_sha256":"d6bc35058a7bf7103b8615ac0fe1c648b3e60ff3c38446c15d63620d17e5e5e5","abstract_canon_sha256":"c14237d990acefad5872e7d21d3d70554ecdeaf52395f9b151dcf139b3f22e13"},"schema_version":"1.0"},"canonical_sha256":"fdfa04704961825667c18470488b72ba91edb7777c7dbacececc063d09a6da67","source":{"kind":"arxiv","id":"2506.02499","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.02499","created_at":"2026-07-05T11:18:22Z"},{"alias_kind":"arxiv_version","alias_value":"2506.02499v2","created_at":"2026-07-05T11:18:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.02499","created_at":"2026-07-05T11:18:22Z"},{"alias_kind":"pith_short_12","alias_value":"7X5AI4CJMGBF","created_at":"2026-07-05T11:18:22Z"},{"alias_kind":"pith_short_16","alias_value":"7X5AI4CJMGBFMZ6B","created_at":"2026-07-05T11:18:22Z"},{"alias_kind":"pith_short_8","alias_value":"7X5AI4CJ","created_at":"2026-07-05T11:18:22Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:7X5AI4CJMGBFMZ6BQRYERC3SXK","target":"record","payload":{"canonical_record":{"source":{"id":"2506.02499","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2025-06-03T06:25:53Z","cross_cats_sorted":["eess.AS"],"title_canon_sha256":"d6bc35058a7bf7103b8615ac0fe1c648b3e60ff3c38446c15d63620d17e5e5e5","abstract_canon_sha256":"c14237d990acefad5872e7d21d3d70554ecdeaf52395f9b151dcf139b3f22e13"},"schema_version":"1.0"},"canonical_sha256":"fdfa04704961825667c18470488b72ba91edb7777c7dbacececc063d09a6da67","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:18:22.817543Z","signature_b64":"cKktiAnyY2wQDqyunGLPk+BH4ccov+cy8JpB+XXNEkZYkwMEojBT6EQIM5cF5bMEy2RdKn6gzOqGuUA1sPuMDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"fdfa04704961825667c18470488b72ba91edb7777c7dbacececc063d09a6da67","last_reissued_at":"2026-07-05T11:18:22.817042Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:18:22.817042Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2506.02499","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":"2026-07-05T11:18:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"TpOkr4HI4HSUcKycLSKNjCdgvE+QLL3bL8S4hnulA0uQgzEXzwLMlLJrCte9WulzyDbSOekkbNdOc/YeGUGvDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T03:40:30.354431Z"},"content_sha256":"52ff066af579af0cd832c7bb6a2bde5364509eb123cac191f143fb847acaa21c","schema_version":"1.0","event_id":"sha256:52ff066af579af0cd832c7bb6a2bde5364509eb123cac191f143fb847acaa21c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:7X5AI4CJMGBFMZ6BQRYERC3SXK","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"DnR-nonverbal: Cinematic Audio Source Separation Dataset Containing Non-Verbal Sounds","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["eess.AS"],"primary_cat":"cs.SD","authors_text":"Takuya Hasumi, Yusuke Fujita","submitted_at":"2025-06-03T06:25:53Z","abstract_excerpt":"We propose a new dataset for cinematic audio source separation (CASS) that handles non-verbal sounds. Existing CASS datasets only contain reading-style sounds as a speech stem. These datasets differ from actual movie audio, which is more likely to include acted-out voices. Consequently, models trained on conventional datasets tend to have issues where emotionally heightened voices, such as laughter and screams, are more easily separated as an effect, not speech. To address this problem, we build a new dataset, DnR-nonverbal. The proposed dataset includes non-verbal sounds like laughter and scr"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.02499","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/2506.02499/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":"2026-07-05T11:18:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"LOENnVvq553+oPNrqvGUkyv3OQ6XiEZRemX9po0QNGTNcArvGLgbap0O6Tatv16NfHvobFiKJyODCa2nNaANBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T03:40:30.355327Z"},"content_sha256":"7cf7a383e9eb2ee463a5ca3431389da519c18509ad2917ec89f06f54679d0e77","schema_version":"1.0","event_id":"sha256:7cf7a383e9eb2ee463a5ca3431389da519c18509ad2917ec89f06f54679d0e77"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/7X5AI4CJMGBFMZ6BQRYERC3SXK/bundle.json","state_url":"https://pith.science/pith/7X5AI4CJMGBFMZ6BQRYERC3SXK/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/7X5AI4CJMGBFMZ6BQRYERC3SXK/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":"2026-08-09T03:40:30Z","links":{"resolver":"https://pith.science/pith/7X5AI4CJMGBFMZ6BQRYERC3SXK","bundle":"https://pith.science/pith/7X5AI4CJMGBFMZ6BQRYERC3SXK/bundle.json","state":"https://pith.science/pith/7X5AI4CJMGBFMZ6BQRYERC3SXK/state.json","well_known_bundle":"https://pith.science/.well-known/pith/7X5AI4CJMGBFMZ6BQRYERC3SXK/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:7X5AI4CJMGBFMZ6BQRYERC3SXK","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":"c14237d990acefad5872e7d21d3d70554ecdeaf52395f9b151dcf139b3f22e13","cross_cats_sorted":["eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2025-06-03T06:25:53Z","title_canon_sha256":"d6bc35058a7bf7103b8615ac0fe1c648b3e60ff3c38446c15d63620d17e5e5e5"},"schema_version":"1.0","source":{"id":"2506.02499","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.02499","created_at":"2026-07-05T11:18:22Z"},{"alias_kind":"arxiv_version","alias_value":"2506.02499v2","created_at":"2026-07-05T11:18:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.02499","created_at":"2026-07-05T11:18:22Z"},{"alias_kind":"pith_short_12","alias_value":"7X5AI4CJMGBF","created_at":"2026-07-05T11:18:22Z"},{"alias_kind":"pith_short_16","alias_value":"7X5AI4CJMGBFMZ6B","created_at":"2026-07-05T11:18:22Z"},{"alias_kind":"pith_short_8","alias_value":"7X5AI4CJ","created_at":"2026-07-05T11:18:22Z"}],"graph_snapshots":[{"event_id":"sha256:7cf7a383e9eb2ee463a5ca3431389da519c18509ad2917ec89f06f54679d0e77","target":"graph","created_at":"2026-07-05T11:18:22Z","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/2506.02499/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We propose a new dataset for cinematic audio source separation (CASS) that handles non-verbal sounds. Existing CASS datasets only contain reading-style sounds as a speech stem. These datasets differ from actual movie audio, which is more likely to include acted-out voices. Consequently, models trained on conventional datasets tend to have issues where emotionally heightened voices, such as laughter and screams, are more easily separated as an effect, not speech. To address this problem, we build a new dataset, DnR-nonverbal. The proposed dataset includes non-verbal sounds like laughter and scr","authors_text":"Takuya Hasumi, Yusuke Fujita","cross_cats":["eess.AS"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2025-06-03T06:25:53Z","title":"DnR-nonverbal: Cinematic Audio Source Separation Dataset Containing Non-Verbal Sounds"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.02499","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":"sha256:52ff066af579af0cd832c7bb6a2bde5364509eb123cac191f143fb847acaa21c","target":"record","created_at":"2026-07-05T11:18:22Z","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":"c14237d990acefad5872e7d21d3d70554ecdeaf52395f9b151dcf139b3f22e13","cross_cats_sorted":["eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2025-06-03T06:25:53Z","title_canon_sha256":"d6bc35058a7bf7103b8615ac0fe1c648b3e60ff3c38446c15d63620d17e5e5e5"},"schema_version":"1.0","source":{"id":"2506.02499","kind":"arxiv","version":2}},"canonical_sha256":"fdfa04704961825667c18470488b72ba91edb7777c7dbacececc063d09a6da67","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"fdfa04704961825667c18470488b72ba91edb7777c7dbacececc063d09a6da67","first_computed_at":"2026-07-05T11:18:22.817042Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:18:22.817042Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"cKktiAnyY2wQDqyunGLPk+BH4ccov+cy8JpB+XXNEkZYkwMEojBT6EQIM5cF5bMEy2RdKn6gzOqGuUA1sPuMDg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:18:22.817543Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.02499","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:52ff066af579af0cd832c7bb6a2bde5364509eb123cac191f143fb847acaa21c","sha256:7cf7a383e9eb2ee463a5ca3431389da519c18509ad2917ec89f06f54679d0e77"],"state_sha256":"b2736f0af893e235f3ceee0e4a2aa310332fc8f121d9712f1367171c9c49f171"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WvJNmLUQygPe62wWfW3Pr304UVz6jWtDsdegEbf8Yxpze1dPzmz7T9PdwDFRnWiP2jyKcmYBfPhwBApwi5jgAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T03:40:30.361703Z","bundle_sha256":"e26bc47e82e30028531f04109973fd7fa28a8cd480a47af62208560d2cc5ec21"}}