{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:LFKBAIPQMCENWGCAXNNZEONLTX","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":"0503b25ccfc737b3d67d7308e42522bf50ca0ff70ed2257b74194f236fb373ff","cross_cats_sorted":["cs.AI","cs.SD","eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-07-22T17:51:53Z","title_canon_sha256":"e675b4abe8df40197450695d2563f365301e3e620b1202e10ad2680aa564a4f8"},"schema_version":"1.0","source":{"id":"2407.15835","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.15835","created_at":"2026-07-05T11:06:54Z"},{"alias_kind":"arxiv_version","alias_value":"2407.15835v3","created_at":"2026-07-05T11:06:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.15835","created_at":"2026-07-05T11:06:54Z"},{"alias_kind":"pith_short_12","alias_value":"LFKBAIPQMCEN","created_at":"2026-07-05T11:06:54Z"},{"alias_kind":"pith_short_16","alias_value":"LFKBAIPQMCENWGCA","created_at":"2026-07-05T11:06:54Z"},{"alias_kind":"pith_short_8","alias_value":"LFKBAIPQ","created_at":"2026-07-05T11:06:54Z"}],"graph_snapshots":[{"event_id":"sha256:9a4a0b454fc671efc8b0288ae4dc4a142c75fde2be5a16437bf1b7ae3e52511d","target":"graph","created_at":"2026-07-05T11:06:54Z","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/2407.15835/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large language models have revolutionized natural language processing by leveraging self-supervised pretraining on vast textual data. Inspired by this success, researchers have investigated various compression-based speech tokenization methods to discretize continuous speech signals, enabling the application of language modeling techniques to discrete tokens. However, audio compressor introduces additional complexity and computational cost, and often fail on out-of-domain audio signals. In this work, we introduce a novel speech representation (dmel) that discretizes mel-filterbank channels int","authors_text":"Navdeep Jaitly, Richard He Bai, Ruixiang Zhang, Tatiana Likhomanenko, Zakaria Aldeneh, Zijin Gu","cross_cats":["cs.AI","cs.SD","eess.AS"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-07-22T17:51:53Z","title":"dMel: Speech Tokenization made Simple"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.15835","kind":"arxiv","version":3},"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:c5acd58e625a0907d63057181bb5966672d0be2d52b13858f158de1f683064a4","target":"record","created_at":"2026-07-05T11:06:54Z","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":"0503b25ccfc737b3d67d7308e42522bf50ca0ff70ed2257b74194f236fb373ff","cross_cats_sorted":["cs.AI","cs.SD","eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-07-22T17:51:53Z","title_canon_sha256":"e675b4abe8df40197450695d2563f365301e3e620b1202e10ad2680aa564a4f8"},"schema_version":"1.0","source":{"id":"2407.15835","kind":"arxiv","version":3}},"canonical_sha256":"59541021f06088db1840bb5b9239ab9df4ba7eeb4e031dce3e3a9413ee967c25","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"59541021f06088db1840bb5b9239ab9df4ba7eeb4e031dce3e3a9413ee967c25","first_computed_at":"2026-07-05T11:06:54.235279Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:06:54.235279Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"6C83IajrmwHVKIQtvzaZSPJ229zgPY7xL/+Br31AxSX9S6BX/zSyoQd+FWjMCn+gnKjcmBtDULLy0nNfPugMAA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:06:54.235755Z","signed_message":"canonical_sha256_bytes"},"source_id":"2407.15835","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c5acd58e625a0907d63057181bb5966672d0be2d52b13858f158de1f683064a4","sha256:9a4a0b454fc671efc8b0288ae4dc4a142c75fde2be5a16437bf1b7ae3e52511d"],"state_sha256":"e9d57708382ec71d7521c52b2b7c58bb6cd3cb3204d5e790fafdd43855c22d27"}