{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:E2JUM4WGGCJNS4RS34V7NMKFUV","short_pith_number":"pith:E2JUM4WG","canonical_record":{"source":{"id":"2205.01273","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2022-05-03T02:18:46Z","cross_cats_sorted":["eess.AS"],"title_canon_sha256":"df6ba0f942e1e3f6f605870b197fb837da8379a6d378490236087e26103049f2","abstract_canon_sha256":"8a6131813f75011d7432a22fc760ce6a8ac826a76a6ef7325e902e3c5cc53214"},"schema_version":"1.0"},"canonical_sha256":"26934672c63092d97232df2bf6b145a56a7d44669e5824df4465272f51050c8d","source":{"kind":"arxiv","id":"2205.01273","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2205.01273","created_at":"2026-07-05T04:20:02Z"},{"alias_kind":"arxiv_version","alias_value":"2205.01273v1","created_at":"2026-07-05T04:20:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2205.01273","created_at":"2026-07-05T04:20:02Z"},{"alias_kind":"pith_short_12","alias_value":"E2JUM4WGGCJN","created_at":"2026-07-05T04:20:02Z"},{"alias_kind":"pith_short_16","alias_value":"E2JUM4WGGCJNS4RS","created_at":"2026-07-05T04:20:02Z"},{"alias_kind":"pith_short_8","alias_value":"E2JUM4WG","created_at":"2026-07-05T04:20:02Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:E2JUM4WGGCJNS4RS34V7NMKFUV","target":"record","payload":{"canonical_record":{"source":{"id":"2205.01273","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2022-05-03T02:18:46Z","cross_cats_sorted":["eess.AS"],"title_canon_sha256":"df6ba0f942e1e3f6f605870b197fb837da8379a6d378490236087e26103049f2","abstract_canon_sha256":"8a6131813f75011d7432a22fc760ce6a8ac826a76a6ef7325e902e3c5cc53214"},"schema_version":"1.0"},"canonical_sha256":"26934672c63092d97232df2bf6b145a56a7d44669e5824df4465272f51050c8d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:20:02.976790Z","signature_b64":"ToHrjpGlp3sKvclcw5lZy9PId2M2vXprGVqTNO52xYO85T+OS4QzotMduQygo6U+wYzOKgEUciCqf7QOnJhcDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"26934672c63092d97232df2bf6b145a56a7d44669e5824df4465272f51050c8d","last_reissued_at":"2026-07-05T04:20:02.976352Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:20:02.976352Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2205.01273","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":"2026-07-05T04:20:02Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"vvl9moV6RmgX780VLUu69Ce4QKRIPPRPhLtLeOo58YIn8e+dRtXe4aSQGp8Z3n33yl6iXO7qhyndjNT0Y+kvBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-20T16:09:58.441420Z"},"content_sha256":"b69468b096382d5159313a3dfd1c8fea71b6101960355fb30f7b502987074f4e","schema_version":"1.0","event_id":"sha256:b69468b096382d5159313a3dfd1c8fea71b6101960355fb30f7b502987074f4e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:E2JUM4WGGCJNS4RS34V7NMKFUV","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Few-Shot Musical Source Separation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["eess.AS"],"primary_cat":"cs.SD","authors_text":"Daniel Stoller, Juan Pablo Bello, Rachel M. Bittner, Yu Wang","submitted_at":"2022-05-03T02:18:46Z","abstract_excerpt":"Deep learning-based approaches to musical source separation are often limited to the instrument classes that the models are trained on and do not generalize to separate unseen instruments. To address this, we propose a few-shot musical source separation paradigm. We condition a generic U-Net source separation model using few audio examples of the target instrument. We train a few-shot conditioning encoder jointly with the U-Net to encode the audio examples into a conditioning vector to configure the U-Net via feature-wise linear modulation (FiLM). We evaluate the trained models on real musical"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2205.01273","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/2205.01273/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":"2026-07-05T04:20:02Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"IcQTaWWb0035IFLXxIA3IhyPGLYcnzWsJuREH4ln3sYXUSDCBuP/EJSFrSplUjaRPy3bicurFmPzwG9CDYWQCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-20T16:09:58.441988Z"},"content_sha256":"d3c96a83a6f4c4c5a3b971951ec4ee97f2193cdf2be735b6cf48ee038abc42a9","schema_version":"1.0","event_id":"sha256:d3c96a83a6f4c4c5a3b971951ec4ee97f2193cdf2be735b6cf48ee038abc42a9"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/E2JUM4WGGCJNS4RS34V7NMKFUV/bundle.json","state_url":"https://pith.science/pith/E2JUM4WGGCJNS4RS34V7NMKFUV/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/E2JUM4WGGCJNS4RS34V7NMKFUV/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":"2026-08-20T16:09:58Z","links":{"resolver":"https://pith.science/pith/E2JUM4WGGCJNS4RS34V7NMKFUV","bundle":"https://pith.science/pith/E2JUM4WGGCJNS4RS34V7NMKFUV/bundle.json","state":"https://pith.science/pith/E2JUM4WGGCJNS4RS34V7NMKFUV/state.json","well_known_bundle":"https://pith.science/.well-known/pith/E2JUM4WGGCJNS4RS34V7NMKFUV/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:E2JUM4WGGCJNS4RS34V7NMKFUV","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":"8a6131813f75011d7432a22fc760ce6a8ac826a76a6ef7325e902e3c5cc53214","cross_cats_sorted":["eess.AS"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2022-05-03T02:18:46Z","title_canon_sha256":"df6ba0f942e1e3f6f605870b197fb837da8379a6d378490236087e26103049f2"},"schema_version":"1.0","source":{"id":"2205.01273","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2205.01273","created_at":"2026-07-05T04:20:02Z"},{"alias_kind":"arxiv_version","alias_value":"2205.01273v1","created_at":"2026-07-05T04:20:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2205.01273","created_at":"2026-07-05T04:20:02Z"},{"alias_kind":"pith_short_12","alias_value":"E2JUM4WGGCJN","created_at":"2026-07-05T04:20:02Z"},{"alias_kind":"pith_short_16","alias_value":"E2JUM4WGGCJNS4RS","created_at":"2026-07-05T04:20:02Z"},{"alias_kind":"pith_short_8","alias_value":"E2JUM4WG","created_at":"2026-07-05T04:20:02Z"}],"graph_snapshots":[{"event_id":"sha256:d3c96a83a6f4c4c5a3b971951ec4ee97f2193cdf2be735b6cf48ee038abc42a9","target":"graph","created_at":"2026-07-05T04:20:02Z","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/2205.01273/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Deep learning-based approaches to musical source separation are often limited to the instrument classes that the models are trained on and do not generalize to separate unseen instruments. To address this, we propose a few-shot musical source separation paradigm. We condition a generic U-Net source separation model using few audio examples of the target instrument. We train a few-shot conditioning encoder jointly with the U-Net to encode the audio examples into a conditioning vector to configure the U-Net via feature-wise linear modulation (FiLM). We evaluate the trained models on real musical","authors_text":"Daniel Stoller, Juan Pablo Bello, Rachel M. Bittner, Yu Wang","cross_cats":["eess.AS"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2022-05-03T02:18:46Z","title":"Few-Shot Musical Source Separation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2205.01273","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:b69468b096382d5159313a3dfd1c8fea71b6101960355fb30f7b502987074f4e","target":"record","created_at":"2026-07-05T04:20:02Z","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":"8a6131813f75011d7432a22fc760ce6a8ac826a76a6ef7325e902e3c5cc53214","cross_cats_sorted":["eess.AS"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2022-05-03T02:18:46Z","title_canon_sha256":"df6ba0f942e1e3f6f605870b197fb837da8379a6d378490236087e26103049f2"},"schema_version":"1.0","source":{"id":"2205.01273","kind":"arxiv","version":1}},"canonical_sha256":"26934672c63092d97232df2bf6b145a56a7d44669e5824df4465272f51050c8d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"26934672c63092d97232df2bf6b145a56a7d44669e5824df4465272f51050c8d","first_computed_at":"2026-07-05T04:20:02.976352Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:20:02.976352Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ToHrjpGlp3sKvclcw5lZy9PId2M2vXprGVqTNO52xYO85T+OS4QzotMduQygo6U+wYzOKgEUciCqf7QOnJhcDA==","signature_status":"signed_v1","signed_at":"2026-07-05T04:20:02.976790Z","signed_message":"canonical_sha256_bytes"},"source_id":"2205.01273","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b69468b096382d5159313a3dfd1c8fea71b6101960355fb30f7b502987074f4e","sha256:d3c96a83a6f4c4c5a3b971951ec4ee97f2193cdf2be735b6cf48ee038abc42a9"],"state_sha256":"38842ab111671f3f43d3d2fe876167dacd7010d982c4a2ad9d9244870e811242"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"b2DzVNdLbJBmMr79nJM2ZLHr/2JJek4jJDSC+lLj/1fOo2a++cSfXPNxngxy0EHHzmlVbz9OICUh0ls/vB+gCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-20T16:09:58.445690Z","bundle_sha256":"a85851f4e075618a459914eb118b2c8563bb2c52935dd9f030c51d78e3ee5c9f"}}