{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:WKDZYFP4NEN3WH4BIP7A5VISK5","short_pith_number":"pith:WKDZYFP4","canonical_record":{"source":{"id":"2505.08681","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2025-05-13T15:43:35Z","cross_cats_sorted":["cs.AI","eess.AS"],"title_canon_sha256":"d6dc1ccf1b990cf7c7b9d5eb4c8eee45fbee899dcd1e5b2fe44663b375c2db26","abstract_canon_sha256":"6b95e56f87c6f672748e074fe4002d2322c88385fe6766cf9b36eb67e6eebb5a"},"schema_version":"1.0"},"canonical_sha256":"b2879c15fc691bbb1f8143fe0ed512575aa83f512ee9d1d96b0831fca143991c","source":{"kind":"arxiv","id":"2505.08681","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.08681","created_at":"2026-07-05T11:02:34Z"},{"alias_kind":"arxiv_version","alias_value":"2505.08681v1","created_at":"2026-07-05T11:02:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.08681","created_at":"2026-07-05T11:02:34Z"},{"alias_kind":"pith_short_12","alias_value":"WKDZYFP4NEN3","created_at":"2026-07-05T11:02:34Z"},{"alias_kind":"pith_short_16","alias_value":"WKDZYFP4NEN3WH4B","created_at":"2026-07-05T11:02:34Z"},{"alias_kind":"pith_short_8","alias_value":"WKDZYFP4","created_at":"2026-07-05T11:02:34Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:WKDZYFP4NEN3WH4BIP7A5VISK5","target":"record","payload":{"canonical_record":{"source":{"id":"2505.08681","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2025-05-13T15:43:35Z","cross_cats_sorted":["cs.AI","eess.AS"],"title_canon_sha256":"d6dc1ccf1b990cf7c7b9d5eb4c8eee45fbee899dcd1e5b2fe44663b375c2db26","abstract_canon_sha256":"6b95e56f87c6f672748e074fe4002d2322c88385fe6766cf9b36eb67e6eebb5a"},"schema_version":"1.0"},"canonical_sha256":"b2879c15fc691bbb1f8143fe0ed512575aa83f512ee9d1d96b0831fca143991c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:02:34.761406Z","signature_b64":"zkr0f1BO5wsHV0FaASH4Mt4RhQlwlH0dJkRoA3pV+X+ZuwCVdjvrT/YU4df9Bj7NiTyoleLfXAL9YdG47SMzAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b2879c15fc691bbb1f8143fe0ed512575aa83f512ee9d1d96b0831fca143991c","last_reissued_at":"2026-07-05T11:02:34.760797Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:02:34.760797Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2505.08681","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":"2026-07-05T11:02:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jnQlHaV37G/Ln5uxJI03nk2oyic5XOQ8WZk+Kr9LilogPkY0HZEsvOFmDES8vkZL4994tRIlujj9rdo9NObcDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T08:16:06.749210Z"},"content_sha256":"dd83dd41f81893891940c7562467d423d08d8e444b1007c5e9f1bed339db2ded","schema_version":"1.0","event_id":"sha256:dd83dd41f81893891940c7562467d423d08d8e444b1007c5e9f1bed339db2ded"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:WKDZYFP4NEN3WH4BIP7A5VISK5","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Mamba-based Network for Semi-supervised Singing Melody Extraction Using Confidence Binary Regularization","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","eess.AS"],"primary_cat":"cs.SD","authors_text":"Jingkai Cao, Kangjie Dong, Shuai Yu, Wei Li, Xiaoliang He, Yi Yu","submitted_at":"2025-05-13T15:43:35Z","abstract_excerpt":"Singing melody extraction (SME) is a key task in the field of music information retrieval. However, existing methods are facing several limitations: firstly, prior models use transformers to capture the contextual dependencies, which requires quadratic computation resulting in low efficiency in the inference stage. Secondly, prior works typically rely on frequencysupervised methods to estimate the fundamental frequency (f0), which ignores that the musical performance is actually based on notes. Thirdly, transformers typically require large amounts of labeled data to achieve optimal performance"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.08681","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/2505.08681/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":"2026-07-05T11:02:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1x/YV4JerKW8477TJpL8MkJYQQSBL4YXKr663g0KoCPqfxgJZYkj5IuAcz8lqIt2Ey4KAuFTwFDFdpE0tYvBCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T08:16:06.749713Z"},"content_sha256":"e510f73d215f8c7e010fded879c1d6f0cbe0b16e88f295e3ca80827bf70835e5","schema_version":"1.0","event_id":"sha256:e510f73d215f8c7e010fded879c1d6f0cbe0b16e88f295e3ca80827bf70835e5"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/WKDZYFP4NEN3WH4BIP7A5VISK5/bundle.json","state_url":"https://pith.science/pith/WKDZYFP4NEN3WH4BIP7A5VISK5/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/WKDZYFP4NEN3WH4BIP7A5VISK5/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":"2026-08-18T08:16:06Z","links":{"resolver":"https://pith.science/pith/WKDZYFP4NEN3WH4BIP7A5VISK5","bundle":"https://pith.science/pith/WKDZYFP4NEN3WH4BIP7A5VISK5/bundle.json","state":"https://pith.science/pith/WKDZYFP4NEN3WH4BIP7A5VISK5/state.json","well_known_bundle":"https://pith.science/.well-known/pith/WKDZYFP4NEN3WH4BIP7A5VISK5/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:WKDZYFP4NEN3WH4BIP7A5VISK5","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":"6b95e56f87c6f672748e074fe4002d2322c88385fe6766cf9b36eb67e6eebb5a","cross_cats_sorted":["cs.AI","eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2025-05-13T15:43:35Z","title_canon_sha256":"d6dc1ccf1b990cf7c7b9d5eb4c8eee45fbee899dcd1e5b2fe44663b375c2db26"},"schema_version":"1.0","source":{"id":"2505.08681","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.08681","created_at":"2026-07-05T11:02:34Z"},{"alias_kind":"arxiv_version","alias_value":"2505.08681v1","created_at":"2026-07-05T11:02:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.08681","created_at":"2026-07-05T11:02:34Z"},{"alias_kind":"pith_short_12","alias_value":"WKDZYFP4NEN3","created_at":"2026-07-05T11:02:34Z"},{"alias_kind":"pith_short_16","alias_value":"WKDZYFP4NEN3WH4B","created_at":"2026-07-05T11:02:34Z"},{"alias_kind":"pith_short_8","alias_value":"WKDZYFP4","created_at":"2026-07-05T11:02:34Z"}],"graph_snapshots":[{"event_id":"sha256:e510f73d215f8c7e010fded879c1d6f0cbe0b16e88f295e3ca80827bf70835e5","target":"graph","created_at":"2026-07-05T11:02:34Z","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/2505.08681/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Singing melody extraction (SME) is a key task in the field of music information retrieval. However, existing methods are facing several limitations: firstly, prior models use transformers to capture the contextual dependencies, which requires quadratic computation resulting in low efficiency in the inference stage. Secondly, prior works typically rely on frequencysupervised methods to estimate the fundamental frequency (f0), which ignores that the musical performance is actually based on notes. Thirdly, transformers typically require large amounts of labeled data to achieve optimal performance","authors_text":"Jingkai Cao, Kangjie Dong, Shuai Yu, Wei Li, Xiaoliang He, Yi Yu","cross_cats":["cs.AI","eess.AS"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2025-05-13T15:43:35Z","title":"A Mamba-based Network for Semi-supervised Singing Melody Extraction Using Confidence Binary Regularization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.08681","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:dd83dd41f81893891940c7562467d423d08d8e444b1007c5e9f1bed339db2ded","target":"record","created_at":"2026-07-05T11:02:34Z","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":"6b95e56f87c6f672748e074fe4002d2322c88385fe6766cf9b36eb67e6eebb5a","cross_cats_sorted":["cs.AI","eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2025-05-13T15:43:35Z","title_canon_sha256":"d6dc1ccf1b990cf7c7b9d5eb4c8eee45fbee899dcd1e5b2fe44663b375c2db26"},"schema_version":"1.0","source":{"id":"2505.08681","kind":"arxiv","version":1}},"canonical_sha256":"b2879c15fc691bbb1f8143fe0ed512575aa83f512ee9d1d96b0831fca143991c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b2879c15fc691bbb1f8143fe0ed512575aa83f512ee9d1d96b0831fca143991c","first_computed_at":"2026-07-05T11:02:34.760797Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:02:34.760797Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"zkr0f1BO5wsHV0FaASH4Mt4RhQlwlH0dJkRoA3pV+X+ZuwCVdjvrT/YU4df9Bj7NiTyoleLfXAL9YdG47SMzAg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:02:34.761406Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.08681","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:dd83dd41f81893891940c7562467d423d08d8e444b1007c5e9f1bed339db2ded","sha256:e510f73d215f8c7e010fded879c1d6f0cbe0b16e88f295e3ca80827bf70835e5"],"state_sha256":"09803f13b64ecd226e2c0542c3b22fd7ad9723eb1c0424bfe91d1732b07b1571"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"T/702e4muAM0mzafwdTsMQls/phDtpLRgaV/b93GHncBSlp+509DtU85VTyhhT7CS5ol+spLzBaPxH2WLcS8Cg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-18T08:16:06.755114Z","bundle_sha256":"94dbe95130bd7c711823f68e3970e4c2a7b1371a886a147cfa2182db3187c267"}}