{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:LMPC7F5SMECRKN6OQ3LPIHTMAB","short_pith_number":"pith:LMPC7F5S","canonical_record":{"source":{"id":"2605.18072","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2026-05-18T08:54:32Z","cross_cats_sorted":[],"title_canon_sha256":"2e718db8dc5f774ab167fd11718a75a86c59aa4033daaca5ed57b27273a61196","abstract_canon_sha256":"0dd4581fa6d51415229a238ec990f2f4944a149e004309c6c0c0b170cf4affaa"},"schema_version":"1.0"},"canonical_sha256":"5b1e2f97b261051537ce86d6f41e6c0043592e3f209b1e509545e44db057a8a5","source":{"kind":"arxiv","id":"2605.18072","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.18072","created_at":"2026-05-20T00:05:14Z"},{"alias_kind":"arxiv_version","alias_value":"2605.18072v1","created_at":"2026-05-20T00:05:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.18072","created_at":"2026-05-20T00:05:14Z"},{"alias_kind":"pith_short_12","alias_value":"LMPC7F5SMECR","created_at":"2026-05-20T00:05:14Z"},{"alias_kind":"pith_short_16","alias_value":"LMPC7F5SMECRKN6O","created_at":"2026-05-20T00:05:14Z"},{"alias_kind":"pith_short_8","alias_value":"LMPC7F5S","created_at":"2026-05-20T00:05:14Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:LMPC7F5SMECRKN6OQ3LPIHTMAB","target":"record","payload":{"canonical_record":{"source":{"id":"2605.18072","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2026-05-18T08:54:32Z","cross_cats_sorted":[],"title_canon_sha256":"2e718db8dc5f774ab167fd11718a75a86c59aa4033daaca5ed57b27273a61196","abstract_canon_sha256":"0dd4581fa6d51415229a238ec990f2f4944a149e004309c6c0c0b170cf4affaa"},"schema_version":"1.0"},"canonical_sha256":"5b1e2f97b261051537ce86d6f41e6c0043592e3f209b1e509545e44db057a8a5","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-20T00:05:14.557117Z","signature_b64":"nBgsj+nVpGGTdQpESNNLCpoC2CGGjC4uPRS14aEh89I+N2nApvN0p+M1Zn9JPXvHnXNWz4/riNIwX4ve9SfkDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5b1e2f97b261051537ce86d6f41e6c0043592e3f209b1e509545e44db057a8a5","last_reissued_at":"2026-05-20T00:05:14.556170Z","signature_status":"signed_v1","first_computed_at":"2026-05-20T00:05:14.556170Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.18072","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":"2026-05-20T00:05:14Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zb8opEUHRTf6B6xexixDDBiFmK8QcgSLz1HPWezKt+SNEqNanw3ngU/WwdVLeXvamb9g3M02KamtU6iaqEjXDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-21T03:24:51.567798Z"},"content_sha256":"c8d75c6fe23b68fe0313930b5a0f121fe6da0d104f9dc4fe621002f6d3c334f3","schema_version":"1.0","event_id":"sha256:c8d75c6fe23b68fe0313930b5a0f121fe6da0d104f9dc4fe621002f6d3c334f3"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:LMPC7F5SMECRKN6OQ3LPIHTMAB","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"MusicDET: Zero-Shot AI-Generated Music Detection","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.SD","authors_text":"Chaolei Han, Hongsong Wang, Jie Gui","submitted_at":"2026-05-18T08:54:32Z","abstract_excerpt":"Detecting AI-generated music is crucial for preserving artistic authenticity and preventing the misuse of generative music technologies. However, existing discriminative detectors typically rely on generated samples during training and often suffer from severe performance degradation when confronted with music produced by unseen generators, which limits their real-world applicability. To address this issue, we formulate a zero-shot setting for AI-generated music detection, where the detector is trained exclusively on real music without access to any generated samples. Under this setting, we pr"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.18072","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/2605.18072/integrity.json","findings":[],"available":true,"detectors_run":[{"name":"claim_evidence","ran_at":"2026-05-19T23:41:59.246835Z","status":"completed","version":"1.0.0","findings_count":0},{"name":"ai_meta_artifact","ran_at":"2026-05-19T23:33:35.460155Z","status":"skipped","version":"1.0.0","findings_count":0}],"snapshot_sha256":"87315ec53e9a7d629d817e206a104efaac0974d6c65c923c0477461e98319bb0"},"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":"2026-05-20T00:05:14Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kE+KHzU7pd0DCWVg0wjKS1HQsM1XEFFijEF46hgnJ7nd8oSrRBmciilcay71AoDdYfBq9H6hbVWiDzK4KmaBAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-21T03:24:51.568202Z"},"content_sha256":"5ced22d5716a9f849ad3e4dfae8ada7ba1d9db334fc0b6ceb4710021daffe866","schema_version":"1.0","event_id":"sha256:5ced22d5716a9f849ad3e4dfae8ada7ba1d9db334fc0b6ceb4710021daffe866"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:LMPC7F5SMECRKN6OQ3LPIHTMAB","target":"integrity","payload":{"note":"DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.21437/Interspeech.2024-1185.Chiu) was visible in the surrounding text but could not be confirmed against doi.org as printed.","snippet":"Chen, X., Wu, H., Jang, R., and yi Lee, H. Singing voice graph modeling for singfake detection. InInterspeech 2024, pp. 4843–4847, 2024b. doi: 10.21437/Interspeech. 2024-1185. Chiu, L.-L. and Lai, S.-H. Self-supervised normalizing flows for","arxiv_id":"2605.18072","detector":"doi_compliance","evidence":{"ref_index":5,"verdict_class":"incontrovertible","resolved_title":null,"printed_excerpt":"Chen, X., Wu, H., Jang, R., and yi Lee, H. Singing voice graph modeling for singfake detection. InInterspeech 2024, pp. 4843–4847, 2024b. doi: 10.21437/Interspeech. 2024-1185. Chiu, L.-L. and Lai, S.-H. Self-supervised normalizing flows for","reconstructed_doi":"10.21437/Interspeech.2024-1185.Chiu"},"severity":"advisory","ref_index":5,"audited_at":"2026-05-20T00:44:15.051167Z","event_type":"pith.integrity.v1","detected_doi":"10.21437/Interspeech.2024-1185.Chiu","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"recoverable_identifier","evidence_hash":"ccc227a4706abb72b6c860b9660a3f30114ab5504056866ce665bc11c4f3fd78","paper_version":1,"verdict_class":"incontrovertible","resolved_title":null,"detector_version":"1.0.0","detected_arxiv_id":null,"integrity_event_id":3887,"payload_sha256":"c6287717725881f6c740abf9472cc98d03c89b41fbe130a505abe6fd15ccc091","signature_b64":"vpVecfm4diQWxhHJSofoXQZasgYjkFw7VALD+eus7FKAHvNt6O3lsw4wRzdc9rTpyrLVviMC523biJv0mnvLBg==","signing_key_id":"pith-v1-2026-05"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-20T00:47:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"NsNJ/bS6ctAZz3bfwkusmjQlWtB+UfkxniuVJgNgCXNVPW4bRVlF3WTv/f2fnjJJ2YXXYyMwtaXMITv53jBJAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-21T03:24:51.569061Z"},"content_sha256":"416fbe818ab75748337bf90681b06a1aa849cc733daf402f68ef686ba0039164","schema_version":"1.0","event_id":"sha256:416fbe818ab75748337bf90681b06a1aa849cc733daf402f68ef686ba0039164"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/LMPC7F5SMECRKN6OQ3LPIHTMAB/bundle.json","state_url":"https://pith.science/pith/LMPC7F5SMECRKN6OQ3LPIHTMAB/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/LMPC7F5SMECRKN6OQ3LPIHTMAB/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":"2026-05-21T03:24:51Z","links":{"resolver":"https://pith.science/pith/LMPC7F5SMECRKN6OQ3LPIHTMAB","bundle":"https://pith.science/pith/LMPC7F5SMECRKN6OQ3LPIHTMAB/bundle.json","state":"https://pith.science/pith/LMPC7F5SMECRKN6OQ3LPIHTMAB/state.json","well_known_bundle":"https://pith.science/.well-known/pith/LMPC7F5SMECRKN6OQ3LPIHTMAB/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:LMPC7F5SMECRKN6OQ3LPIHTMAB","merge_version":"pith-open-graph-merge-v1","event_count":3,"valid_event_count":3,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"0dd4581fa6d51415229a238ec990f2f4944a149e004309c6c0c0b170cf4affaa","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2026-05-18T08:54:32Z","title_canon_sha256":"2e718db8dc5f774ab167fd11718a75a86c59aa4033daaca5ed57b27273a61196"},"schema_version":"1.0","source":{"id":"2605.18072","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.18072","created_at":"2026-05-20T00:05:14Z"},{"alias_kind":"arxiv_version","alias_value":"2605.18072v1","created_at":"2026-05-20T00:05:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.18072","created_at":"2026-05-20T00:05:14Z"},{"alias_kind":"pith_short_12","alias_value":"LMPC7F5SMECR","created_at":"2026-05-20T00:05:14Z"},{"alias_kind":"pith_short_16","alias_value":"LMPC7F5SMECRKN6O","created_at":"2026-05-20T00:05:14Z"},{"alias_kind":"pith_short_8","alias_value":"LMPC7F5S","created_at":"2026-05-20T00:05:14Z"}],"graph_snapshots":[{"event_id":"sha256:5ced22d5716a9f849ad3e4dfae8ada7ba1d9db334fc0b6ceb4710021daffe866","target":"graph","created_at":"2026-05-20T00:05:14Z","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":[{"findings_count":0,"name":"claim_evidence","ran_at":"2026-05-19T23:41:59.246835Z","status":"completed","version":"1.0.0"},{"findings_count":0,"name":"ai_meta_artifact","ran_at":"2026-05-19T23:33:35.460155Z","status":"skipped","version":"1.0.0"}],"endpoint":"/pith/2605.18072/integrity.json","findings":[],"snapshot_sha256":"87315ec53e9a7d629d817e206a104efaac0974d6c65c923c0477461e98319bb0","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Detecting AI-generated music is crucial for preserving artistic authenticity and preventing the misuse of generative music technologies. However, existing discriminative detectors typically rely on generated samples during training and often suffer from severe performance degradation when confronted with music produced by unseen generators, which limits their real-world applicability. To address this issue, we formulate a zero-shot setting for AI-generated music detection, where the detector is trained exclusively on real music without access to any generated samples. Under this setting, we pr","authors_text":"Chaolei Han, Hongsong Wang, Jie Gui","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2026-05-18T08:54:32Z","title":"MusicDET: Zero-Shot AI-Generated Music Detection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.18072","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:c8d75c6fe23b68fe0313930b5a0f121fe6da0d104f9dc4fe621002f6d3c334f3","target":"record","created_at":"2026-05-20T00:05:14Z","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":"0dd4581fa6d51415229a238ec990f2f4944a149e004309c6c0c0b170cf4affaa","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2026-05-18T08:54:32Z","title_canon_sha256":"2e718db8dc5f774ab167fd11718a75a86c59aa4033daaca5ed57b27273a61196"},"schema_version":"1.0","source":{"id":"2605.18072","kind":"arxiv","version":1}},"canonical_sha256":"5b1e2f97b261051537ce86d6f41e6c0043592e3f209b1e509545e44db057a8a5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5b1e2f97b261051537ce86d6f41e6c0043592e3f209b1e509545e44db057a8a5","first_computed_at":"2026-05-20T00:05:14.556170Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-20T00:05:14.556170Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"nBgsj+nVpGGTdQpESNNLCpoC2CGGjC4uPRS14aEh89I+N2nApvN0p+M1Zn9JPXvHnXNWz4/riNIwX4ve9SfkDQ==","signature_status":"signed_v1","signed_at":"2026-05-20T00:05:14.557117Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.18072","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c8d75c6fe23b68fe0313930b5a0f121fe6da0d104f9dc4fe621002f6d3c334f3","sha256:5ced22d5716a9f849ad3e4dfae8ada7ba1d9db334fc0b6ceb4710021daffe866","sha256:416fbe818ab75748337bf90681b06a1aa849cc733daf402f68ef686ba0039164"],"state_sha256":"475a337914e07511d56a912283e761e56b24e11b8c22cf0bbc5778b14a450cdf"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"i/8kHsh03fiMv6+w3Aa2cKil0nFQRjh/b3cPdOAHR6E3xm8xTV/QdJmquTeCus8Hyc8EuLDzOL0iVX3z8F8pCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-21T03:24:51.571177Z","bundle_sha256":"820e0f56af11b7746bc4c4b7bb8e93c36bd10fcacec6fb2d25b0fcbf24a5782e"}}