{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:KF4HTE6ELN5QGB3HQGIRLSTPQJ","short_pith_number":"pith:KF4HTE6E","canonical_record":{"source":{"id":"2509.00914","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2025-08-31T15:57:13Z","cross_cats_sorted":["cs.AI","eess.AS"],"title_canon_sha256":"743b89e1c051cc3294e120449aefad8c45f119d333a7f69e7b4366c3a49898c0","abstract_canon_sha256":"221efc103724da2f2ba0111a504def0e5c4e7a2a220286cf1c2f9dd5d0df12a1"},"schema_version":"1.0"},"canonical_sha256":"51787993c45b7b030767819115ca6f824794ef56917926be1b2358cdfa937ab2","source":{"kind":"arxiv","id":"2509.00914","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2509.00914","created_at":"2026-07-05T12:02:24Z"},{"alias_kind":"arxiv_version","alias_value":"2509.00914v1","created_at":"2026-07-05T12:02:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.00914","created_at":"2026-07-05T12:02:24Z"},{"alias_kind":"pith_short_12","alias_value":"KF4HTE6ELN5Q","created_at":"2026-07-05T12:02:24Z"},{"alias_kind":"pith_short_16","alias_value":"KF4HTE6ELN5QGB3H","created_at":"2026-07-05T12:02:24Z"},{"alias_kind":"pith_short_8","alias_value":"KF4HTE6E","created_at":"2026-07-05T12:02:24Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:KF4HTE6ELN5QGB3HQGIRLSTPQJ","target":"record","payload":{"canonical_record":{"source":{"id":"2509.00914","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2025-08-31T15:57:13Z","cross_cats_sorted":["cs.AI","eess.AS"],"title_canon_sha256":"743b89e1c051cc3294e120449aefad8c45f119d333a7f69e7b4366c3a49898c0","abstract_canon_sha256":"221efc103724da2f2ba0111a504def0e5c4e7a2a220286cf1c2f9dd5d0df12a1"},"schema_version":"1.0"},"canonical_sha256":"51787993c45b7b030767819115ca6f824794ef56917926be1b2358cdfa937ab2","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T12:02:24.601623Z","signature_b64":"DBeQ5/hqsvfnd94yBndJ6jaAoo0Ua1EB1NZdhk8POyRn02IfW9ta6dHLfURWwWHTWeu4YlXQJz8oKPMxKsfsBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"51787993c45b7b030767819115ca6f824794ef56917926be1b2358cdfa937ab2","last_reissued_at":"2026-07-05T12:02:24.601138Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T12:02:24.601138Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2509.00914","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":"2026-07-05T12:02:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WlA9/H2I56MoFAE4Kv1tcj23b8Lfp278+wgROha7L+aj5RObfwh/Qnr9/mFE0dvI7IlnDKNa0yQwxY1BrJQnAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T01:29:21.293339Z"},"content_sha256":"7754436f71c98348814659bca1f4365be24bf3fed4e6b96c69d48c782efc4bf0","schema_version":"1.0","event_id":"sha256:7754436f71c98348814659bca1f4365be24bf3fed4e6b96c69d48c782efc4bf0"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:KF4HTE6ELN5QGB3HQGIRLSTPQJ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"TinyMusician: On-Device Music Generation with Knowledge Distillation and Mixed Precision Quantization","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","eess.AS"],"primary_cat":"cs.SD","authors_text":"Hainan Wang, Mehdi Hosseinzadeh, Reza Rawassizadeh","submitted_at":"2025-08-31T15:57:13Z","abstract_excerpt":"The success of the generative model has gained unprecedented attention in the music generation area. Transformer-based architectures have set new benchmarks for model performance. However, their practical adoption is hindered by some critical challenges: the demand for massive computational resources and inference time, due to their large number of parameters. These obstacles make them infeasible to deploy on edge devices, such as smartphones and wearables, with limited computational resources. In this work, we present TinyMusician, a lightweight music generation model distilled from MusicGen "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.00914","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/2509.00914/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":"2026-07-05T12:02:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4a54svvgKVxg7x+aLp8u5BGsc9dBHssyeM56ka3uZ388twRrdDz4gYQ2hymZS5br4Yt8dxUJP8/8t1X+kM3BDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T01:29:21.293841Z"},"content_sha256":"4b41e0bde8b9a45f8205db0316468ff809f552ea5a240b226ac0ad2bfee3a502","schema_version":"1.0","event_id":"sha256:4b41e0bde8b9a45f8205db0316468ff809f552ea5a240b226ac0ad2bfee3a502"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/KF4HTE6ELN5QGB3HQGIRLSTPQJ/bundle.json","state_url":"https://pith.science/pith/KF4HTE6ELN5QGB3HQGIRLSTPQJ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/KF4HTE6ELN5QGB3HQGIRLSTPQJ/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":"2026-08-06T01:29:21Z","links":{"resolver":"https://pith.science/pith/KF4HTE6ELN5QGB3HQGIRLSTPQJ","bundle":"https://pith.science/pith/KF4HTE6ELN5QGB3HQGIRLSTPQJ/bundle.json","state":"https://pith.science/pith/KF4HTE6ELN5QGB3HQGIRLSTPQJ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/KF4HTE6ELN5QGB3HQGIRLSTPQJ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:KF4HTE6ELN5QGB3HQGIRLSTPQJ","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":"221efc103724da2f2ba0111a504def0e5c4e7a2a220286cf1c2f9dd5d0df12a1","cross_cats_sorted":["cs.AI","eess.AS"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2025-08-31T15:57:13Z","title_canon_sha256":"743b89e1c051cc3294e120449aefad8c45f119d333a7f69e7b4366c3a49898c0"},"schema_version":"1.0","source":{"id":"2509.00914","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2509.00914","created_at":"2026-07-05T12:02:24Z"},{"alias_kind":"arxiv_version","alias_value":"2509.00914v1","created_at":"2026-07-05T12:02:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.00914","created_at":"2026-07-05T12:02:24Z"},{"alias_kind":"pith_short_12","alias_value":"KF4HTE6ELN5Q","created_at":"2026-07-05T12:02:24Z"},{"alias_kind":"pith_short_16","alias_value":"KF4HTE6ELN5QGB3H","created_at":"2026-07-05T12:02:24Z"},{"alias_kind":"pith_short_8","alias_value":"KF4HTE6E","created_at":"2026-07-05T12:02:24Z"}],"graph_snapshots":[{"event_id":"sha256:4b41e0bde8b9a45f8205db0316468ff809f552ea5a240b226ac0ad2bfee3a502","target":"graph","created_at":"2026-07-05T12:02:24Z","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/2509.00914/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The success of the generative model has gained unprecedented attention in the music generation area. Transformer-based architectures have set new benchmarks for model performance. However, their practical adoption is hindered by some critical challenges: the demand for massive computational resources and inference time, due to their large number of parameters. These obstacles make them infeasible to deploy on edge devices, such as smartphones and wearables, with limited computational resources. In this work, we present TinyMusician, a lightweight music generation model distilled from MusicGen ","authors_text":"Hainan Wang, Mehdi Hosseinzadeh, Reza Rawassizadeh","cross_cats":["cs.AI","eess.AS"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2025-08-31T15:57:13Z","title":"TinyMusician: On-Device Music Generation with Knowledge Distillation and Mixed Precision Quantization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.00914","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":"sha256:7754436f71c98348814659bca1f4365be24bf3fed4e6b96c69d48c782efc4bf0","target":"record","created_at":"2026-07-05T12:02:24Z","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":"221efc103724da2f2ba0111a504def0e5c4e7a2a220286cf1c2f9dd5d0df12a1","cross_cats_sorted":["cs.AI","eess.AS"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2025-08-31T15:57:13Z","title_canon_sha256":"743b89e1c051cc3294e120449aefad8c45f119d333a7f69e7b4366c3a49898c0"},"schema_version":"1.0","source":{"id":"2509.00914","kind":"arxiv","version":1}},"canonical_sha256":"51787993c45b7b030767819115ca6f824794ef56917926be1b2358cdfa937ab2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"51787993c45b7b030767819115ca6f824794ef56917926be1b2358cdfa937ab2","first_computed_at":"2026-07-05T12:02:24.601138Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T12:02:24.601138Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"DBeQ5/hqsvfnd94yBndJ6jaAoo0Ua1EB1NZdhk8POyRn02IfW9ta6dHLfURWwWHTWeu4YlXQJz8oKPMxKsfsBA==","signature_status":"signed_v1","signed_at":"2026-07-05T12:02:24.601623Z","signed_message":"canonical_sha256_bytes"},"source_id":"2509.00914","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7754436f71c98348814659bca1f4365be24bf3fed4e6b96c69d48c782efc4bf0","sha256:4b41e0bde8b9a45f8205db0316468ff809f552ea5a240b226ac0ad2bfee3a502"],"state_sha256":"eda562f53a6290a0b871ce4e8a897cd7b342a6f71fa2daa527c89f29365aea7d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"sRpNZFgVsO13XX3jAU4SUKAB6KXZ/F2JrY/SI3YAEu59pK36Q9uQvGGJBGVpRXH7GafrK/eVIzmXwXXn6fWFDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T01:29:21.297635Z","bundle_sha256":"09131fe976124900b4dcd622be73fcc2fc01ad1d353aa3b79a244ddff1a747bd"}}