{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:TSHGVIVB2BOUH4XILXXO2FRYAS","short_pith_number":"pith:TSHGVIVB","canonical_record":{"source":{"id":"2209.03143","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2022-09-07T13:40:08Z","cross_cats_sorted":["cs.LG","eess.AS"],"title_canon_sha256":"2a4b88587a08276e6103f76776364f1b50c1407588500ea32527e69c6233d7d4","abstract_canon_sha256":"7d42f8c4de2752664d22129273038c6ead65c1cd4372966d57f1e012b49f04af"},"schema_version":"1.0"},"canonical_sha256":"9c8e6aa2a1d05d43f2e85deeed163804b1502da9369eebc4d1bc880a6e4f5e59","source":{"kind":"arxiv","id":"2209.03143","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2209.03143","created_at":"2026-07-05T06:34:45Z"},{"alias_kind":"arxiv_version","alias_value":"2209.03143v2","created_at":"2026-07-05T06:34:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2209.03143","created_at":"2026-07-05T06:34:45Z"},{"alias_kind":"pith_short_12","alias_value":"TSHGVIVB2BOU","created_at":"2026-07-05T06:34:45Z"},{"alias_kind":"pith_short_16","alias_value":"TSHGVIVB2BOUH4XI","created_at":"2026-07-05T06:34:45Z"},{"alias_kind":"pith_short_8","alias_value":"TSHGVIVB","created_at":"2026-07-05T06:34:45Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:TSHGVIVB2BOUH4XILXXO2FRYAS","target":"record","payload":{"canonical_record":{"source":{"id":"2209.03143","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2022-09-07T13:40:08Z","cross_cats_sorted":["cs.LG","eess.AS"],"title_canon_sha256":"2a4b88587a08276e6103f76776364f1b50c1407588500ea32527e69c6233d7d4","abstract_canon_sha256":"7d42f8c4de2752664d22129273038c6ead65c1cd4372966d57f1e012b49f04af"},"schema_version":"1.0"},"canonical_sha256":"9c8e6aa2a1d05d43f2e85deeed163804b1502da9369eebc4d1bc880a6e4f5e59","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:34:45.731544Z","signature_b64":"JW+uP2pmdjFaPK4OMLzqkKTHAhkyjocPiFY5XU+b0qcxrkuOZapyOwO9hFBkDWJ5rtqtqZY3KbGoeXWnRZqVAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9c8e6aa2a1d05d43f2e85deeed163804b1502da9369eebc4d1bc880a6e4f5e59","last_reissued_at":"2026-07-05T06:34:45.730999Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:34:45.730999Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2209.03143","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T06:34:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ukTir2cr1aR7Xw7vFQ/rN4fDZa70JdulyiKsq92cmACsHAHqmLs9wJ2pA1dR1hzJ480oSwwJitNluu/rUhT/Ag==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-09T04:46:30.769526Z"},"content_sha256":"3eb632878d61d88ba43205ce686a93953878c7a0a4f980571a5492b014bce231","schema_version":"1.0","event_id":"sha256:3eb632878d61d88ba43205ce686a93953878c7a0a4f980571a5492b014bce231"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:TSHGVIVB2BOUH4XILXXO2FRYAS","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"AudioLM: a Language Modeling Approach to Audio Generation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","eess.AS"],"primary_cat":"cs.SD","authors_text":"Damien Vincent, David Grangier, Dominik Roblek, Eugene Kharitonov, Marco Tagliasacchi, Matt Sharifi, Neil Zeghidour, Olivier Pietquin, Olivier Teboul, Rapha\\\"el Marinier, Zal\\'an Borsos","submitted_at":"2022-09-07T13:40:08Z","abstract_excerpt":"We introduce AudioLM, a framework for high-quality audio generation with long-term consistency. AudioLM maps the input audio to a sequence of discrete tokens and casts audio generation as a language modeling task in this representation space. We show how existing audio tokenizers provide different trade-offs between reconstruction quality and long-term structure, and we propose a hybrid tokenization scheme to achieve both objectives. Namely, we leverage the discretized activations of a masked language model pre-trained on audio to capture long-term structure and the discrete codes produced by "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2209.03143","kind":"arxiv","version":2},"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/2209.03143/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":"2026-07-05T06:34:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Gowwd0cq65trr+fgzArhahr/Us8ODacWTmo5IoGu9AtTW6lv1Pu2OMdyIUiM9dC5zUmyXdNR3h7tt0znGRm4DQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-09T04:46:30.769908Z"},"content_sha256":"5ae72f5dfd9eefccf23650ec71e37d0922418a40395f622ffdcbc836b6e77a07","schema_version":"1.0","event_id":"sha256:5ae72f5dfd9eefccf23650ec71e37d0922418a40395f622ffdcbc836b6e77a07"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/TSHGVIVB2BOUH4XILXXO2FRYAS/bundle.json","state_url":"https://pith.science/pith/TSHGVIVB2BOUH4XILXXO2FRYAS/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/TSHGVIVB2BOUH4XILXXO2FRYAS/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":"2026-07-09T04:46:30Z","links":{"resolver":"https://pith.science/pith/TSHGVIVB2BOUH4XILXXO2FRYAS","bundle":"https://pith.science/pith/TSHGVIVB2BOUH4XILXXO2FRYAS/bundle.json","state":"https://pith.science/pith/TSHGVIVB2BOUH4XILXXO2FRYAS/state.json","well_known_bundle":"https://pith.science/.well-known/pith/TSHGVIVB2BOUH4XILXXO2FRYAS/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:TSHGVIVB2BOUH4XILXXO2FRYAS","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":"7d42f8c4de2752664d22129273038c6ead65c1cd4372966d57f1e012b49f04af","cross_cats_sorted":["cs.LG","eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2022-09-07T13:40:08Z","title_canon_sha256":"2a4b88587a08276e6103f76776364f1b50c1407588500ea32527e69c6233d7d4"},"schema_version":"1.0","source":{"id":"2209.03143","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2209.03143","created_at":"2026-07-05T06:34:45Z"},{"alias_kind":"arxiv_version","alias_value":"2209.03143v2","created_at":"2026-07-05T06:34:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2209.03143","created_at":"2026-07-05T06:34:45Z"},{"alias_kind":"pith_short_12","alias_value":"TSHGVIVB2BOU","created_at":"2026-07-05T06:34:45Z"},{"alias_kind":"pith_short_16","alias_value":"TSHGVIVB2BOUH4XI","created_at":"2026-07-05T06:34:45Z"},{"alias_kind":"pith_short_8","alias_value":"TSHGVIVB","created_at":"2026-07-05T06:34:45Z"}],"graph_snapshots":[{"event_id":"sha256:5ae72f5dfd9eefccf23650ec71e37d0922418a40395f622ffdcbc836b6e77a07","target":"graph","created_at":"2026-07-05T06:34:45Z","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/2209.03143/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We introduce AudioLM, a framework for high-quality audio generation with long-term consistency. AudioLM maps the input audio to a sequence of discrete tokens and casts audio generation as a language modeling task in this representation space. We show how existing audio tokenizers provide different trade-offs between reconstruction quality and long-term structure, and we propose a hybrid tokenization scheme to achieve both objectives. Namely, we leverage the discretized activations of a masked language model pre-trained on audio to capture long-term structure and the discrete codes produced by ","authors_text":"Damien Vincent, David Grangier, Dominik Roblek, Eugene Kharitonov, Marco Tagliasacchi, Matt Sharifi, Neil Zeghidour, Olivier Pietquin, Olivier Teboul, Rapha\\\"el Marinier, Zal\\'an Borsos","cross_cats":["cs.LG","eess.AS"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2022-09-07T13:40:08Z","title":"AudioLM: a Language Modeling Approach to Audio Generation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2209.03143","kind":"arxiv","version":2},"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":"sha256:3eb632878d61d88ba43205ce686a93953878c7a0a4f980571a5492b014bce231","target":"record","created_at":"2026-07-05T06:34:45Z","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":"7d42f8c4de2752664d22129273038c6ead65c1cd4372966d57f1e012b49f04af","cross_cats_sorted":["cs.LG","eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2022-09-07T13:40:08Z","title_canon_sha256":"2a4b88587a08276e6103f76776364f1b50c1407588500ea32527e69c6233d7d4"},"schema_version":"1.0","source":{"id":"2209.03143","kind":"arxiv","version":2}},"canonical_sha256":"9c8e6aa2a1d05d43f2e85deeed163804b1502da9369eebc4d1bc880a6e4f5e59","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9c8e6aa2a1d05d43f2e85deeed163804b1502da9369eebc4d1bc880a6e4f5e59","first_computed_at":"2026-07-05T06:34:45.730999Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:34:45.730999Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"JW+uP2pmdjFaPK4OMLzqkKTHAhkyjocPiFY5XU+b0qcxrkuOZapyOwO9hFBkDWJ5rtqtqZY3KbGoeXWnRZqVAg==","signature_status":"signed_v1","signed_at":"2026-07-05T06:34:45.731544Z","signed_message":"canonical_sha256_bytes"},"source_id":"2209.03143","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3eb632878d61d88ba43205ce686a93953878c7a0a4f980571a5492b014bce231","sha256:5ae72f5dfd9eefccf23650ec71e37d0922418a40395f622ffdcbc836b6e77a07"],"state_sha256":"5b0b313fe588652d1b3cf00ba648f4650edb0f6294a797fbada478faa8e58099"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"uspy+0VVDKFrLXR7t8AASJBNEDV2QP1toBFhcQRS1SPytBP3JYe33ggwYyQhj8v3/PPoKXoEYztVg/MjAm8QBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-09T04:46:30.772184Z","bundle_sha256":"e50b4819fc1c99b7663893dc9062da688d96cf218159d2df109dcbab16a9fde7"}}