{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:AZLQ6BNNEW77YPFYVCT652ODJ2","short_pith_number":"pith:AZLQ6BNN","canonical_record":{"source":{"id":"2605.18613","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2026-05-18T16:23:16Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"9df676aade87037c0e5b550a1f3694fa364d0e442cf9927ddf82895e92f6957d","abstract_canon_sha256":"4cff6d974da7952b2864fe97c84efb7fc88797d48b949f0f9d191b5770cfc1f5"},"schema_version":"1.0"},"canonical_sha256":"06570f05ad25bffc3cb8a8a7eee9c34e8daf9dc740668793caf05e9e1c124496","source":{"kind":"arxiv","id":"2605.18613","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.18613","created_at":"2026-05-20T00:06:10Z"},{"alias_kind":"arxiv_version","alias_value":"2605.18613v1","created_at":"2026-05-20T00:06:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.18613","created_at":"2026-05-20T00:06:10Z"},{"alias_kind":"pith_short_12","alias_value":"AZLQ6BNNEW77","created_at":"2026-05-20T00:06:10Z"},{"alias_kind":"pith_short_16","alias_value":"AZLQ6BNNEW77YPFY","created_at":"2026-05-20T00:06:10Z"},{"alias_kind":"pith_short_8","alias_value":"AZLQ6BNN","created_at":"2026-05-20T00:06:10Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:AZLQ6BNNEW77YPFYVCT652ODJ2","target":"record","payload":{"canonical_record":{"source":{"id":"2605.18613","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2026-05-18T16:23:16Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"9df676aade87037c0e5b550a1f3694fa364d0e442cf9927ddf82895e92f6957d","abstract_canon_sha256":"4cff6d974da7952b2864fe97c84efb7fc88797d48b949f0f9d191b5770cfc1f5"},"schema_version":"1.0"},"canonical_sha256":"06570f05ad25bffc3cb8a8a7eee9c34e8daf9dc740668793caf05e9e1c124496","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-20T00:06:10.914721Z","signature_b64":"FKckcg7NAxhneuojaNgzgOebD7vnvvngfxbgjf/TOAwzC8Ww6WRVSYPBrdGWD6FQJOlPh6nSkjMfzSiOLIdACg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"06570f05ad25bffc3cb8a8a7eee9c34e8daf9dc740668793caf05e9e1c124496","last_reissued_at":"2026-05-20T00:06:10.913944Z","signature_status":"signed_v1","first_computed_at":"2026-05-20T00:06:10.913944Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.18613","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":"2026-05-20T00:06:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"AMYxjXkJ9Z0iDNlGY/CYBZ+JCEhmeYrEc7oi7QFoTiUF1h7vaIaAwarsK6iihhzDFMW7fS9XUCMyYhCSLFcdCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T19:33:44.528220Z"},"content_sha256":"96ef30aecb97dc18f327548f497e332032cd93c2b72c0fb938c8aa2a0426b4d8","schema_version":"1.0","event_id":"sha256:96ef30aecb97dc18f327548f497e332032cd93c2b72c0fb938c8aa2a0426b4d8"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:AZLQ6BNNEW77YPFYVCT652ODJ2","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"SAME: A Semantically-Aligned Music Autoencoder","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.SD","authors_text":"CJ Carr, Jordi Pons, Josiah Taylor, Julian D. Parker, Matthew Rice, Zachary Zukowski, Zach Evans","submitted_at":"2026-05-18T16:23:16Z","abstract_excerpt":"Latent representations are at the heart of the majority of modern generative models. In the audio domain they are typically produced by a neural-audio-codec autoencoder. In this work we introduce SAME (Semantically-Aligned Music autoEncoder), an autoencoder for stereo music and general audio that reaches a 4096$\\times$ temporal compression ratio while maintaining reconstruction quality and downstream generative performance. We achieve this by combining a tranformer-based backbone with set of semantic regularisation approaches, phase-aware reconstruction losses and improved discriminator design"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.18613","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/2605.18613/integrity.json","findings":[],"available":true,"detectors_run":[{"name":"claim_evidence","ran_at":"2026-05-20T00:01:59.233734Z","status":"completed","version":"1.0.0","findings_count":0}],"snapshot_sha256":"663d132c0cfe3d6138d0f820a0b299d0354d7297316488be78cdb6355b1d203a"},"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":"2026-05-20T00:06:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8NVvCOJiWq94UKwYP8wAElFoiyFnxVrowj9IYPfoOIuGtXbyX/zoieNy7B7CSxHlpVnuA2JGqN66Cdzx6fWABA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T19:33:44.528949Z"},"content_sha256":"06e74a2890a2bbc9274d2312c2e7140387fbd4eefdc97b36bac2969c31412c14","schema_version":"1.0","event_id":"sha256:06e74a2890a2bbc9274d2312c2e7140387fbd4eefdc97b36bac2969c31412c14"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/AZLQ6BNNEW77YPFYVCT652ODJ2/bundle.json","state_url":"https://pith.science/pith/AZLQ6BNNEW77YPFYVCT652ODJ2/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/AZLQ6BNNEW77YPFYVCT652ODJ2/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":"2026-05-25T19:33:44Z","links":{"resolver":"https://pith.science/pith/AZLQ6BNNEW77YPFYVCT652ODJ2","bundle":"https://pith.science/pith/AZLQ6BNNEW77YPFYVCT652ODJ2/bundle.json","state":"https://pith.science/pith/AZLQ6BNNEW77YPFYVCT652ODJ2/state.json","well_known_bundle":"https://pith.science/.well-known/pith/AZLQ6BNNEW77YPFYVCT652ODJ2/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:AZLQ6BNNEW77YPFYVCT652ODJ2","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":"4cff6d974da7952b2864fe97c84efb7fc88797d48b949f0f9d191b5770cfc1f5","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2026-05-18T16:23:16Z","title_canon_sha256":"9df676aade87037c0e5b550a1f3694fa364d0e442cf9927ddf82895e92f6957d"},"schema_version":"1.0","source":{"id":"2605.18613","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.18613","created_at":"2026-05-20T00:06:10Z"},{"alias_kind":"arxiv_version","alias_value":"2605.18613v1","created_at":"2026-05-20T00:06:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.18613","created_at":"2026-05-20T00:06:10Z"},{"alias_kind":"pith_short_12","alias_value":"AZLQ6BNNEW77","created_at":"2026-05-20T00:06:10Z"},{"alias_kind":"pith_short_16","alias_value":"AZLQ6BNNEW77YPFY","created_at":"2026-05-20T00:06:10Z"},{"alias_kind":"pith_short_8","alias_value":"AZLQ6BNN","created_at":"2026-05-20T00:06:10Z"}],"graph_snapshots":[{"event_id":"sha256:06e74a2890a2bbc9274d2312c2e7140387fbd4eefdc97b36bac2969c31412c14","target":"graph","created_at":"2026-05-20T00:06:10Z","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":"2026-05-20T00:01:59.233734Z","status":"completed","version":"1.0.0"}],"endpoint":"/pith/2605.18613/integrity.json","findings":[],"snapshot_sha256":"663d132c0cfe3d6138d0f820a0b299d0354d7297316488be78cdb6355b1d203a","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Latent representations are at the heart of the majority of modern generative models. In the audio domain they are typically produced by a neural-audio-codec autoencoder. In this work we introduce SAME (Semantically-Aligned Music autoEncoder), an autoencoder for stereo music and general audio that reaches a 4096$\\times$ temporal compression ratio while maintaining reconstruction quality and downstream generative performance. We achieve this by combining a tranformer-based backbone with set of semantic regularisation approaches, phase-aware reconstruction losses and improved discriminator design","authors_text":"CJ Carr, Jordi Pons, Josiah Taylor, Julian D. Parker, Matthew Rice, Zachary Zukowski, Zach Evans","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2026-05-18T16:23:16Z","title":"SAME: A Semantically-Aligned Music Autoencoder"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.18613","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":"sha256:96ef30aecb97dc18f327548f497e332032cd93c2b72c0fb938c8aa2a0426b4d8","target":"record","created_at":"2026-05-20T00:06:10Z","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":"4cff6d974da7952b2864fe97c84efb7fc88797d48b949f0f9d191b5770cfc1f5","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2026-05-18T16:23:16Z","title_canon_sha256":"9df676aade87037c0e5b550a1f3694fa364d0e442cf9927ddf82895e92f6957d"},"schema_version":"1.0","source":{"id":"2605.18613","kind":"arxiv","version":1}},"canonical_sha256":"06570f05ad25bffc3cb8a8a7eee9c34e8daf9dc740668793caf05e9e1c124496","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"06570f05ad25bffc3cb8a8a7eee9c34e8daf9dc740668793caf05e9e1c124496","first_computed_at":"2026-05-20T00:06:10.913944Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-20T00:06:10.913944Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"FKckcg7NAxhneuojaNgzgOebD7vnvvngfxbgjf/TOAwzC8Ww6WRVSYPBrdGWD6FQJOlPh6nSkjMfzSiOLIdACg==","signature_status":"signed_v1","signed_at":"2026-05-20T00:06:10.914721Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.18613","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:96ef30aecb97dc18f327548f497e332032cd93c2b72c0fb938c8aa2a0426b4d8","sha256:06e74a2890a2bbc9274d2312c2e7140387fbd4eefdc97b36bac2969c31412c14"],"state_sha256":"d000050e2a7f55579d864b792b51138f99c5c8729830e69bbf4a01f48497386d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"s9YNFFt6BEgJS4dAaW1b56JMfA6cHV5S2cn7vxa3NaSEkEzu2odGgmZ1iPBP2CtuCmqLTL9quRuPp1HPiFc8AQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-25T19:33:44.532753Z","bundle_sha256":"f1939edc99e941260f60aaa613294174206c5052fb951e76a46da24f0cb623c0"}}