{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:EBGYTD3YUOMQVFMLUPO2TRA6MG","short_pith_number":"pith:EBGYTD3Y","canonical_record":{"source":{"id":"2401.10460","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2024-01-19T02:51:00Z","cross_cats_sorted":["cs.LG","eess.AS"],"title_canon_sha256":"50dd04d740d377d8b309bcab9a1f64247e1402593c74de044ca31bed8e689ead","abstract_canon_sha256":"638fd78f7490f4ee7b8ce896c8bc8953ce9eb0f13928960bcc5baadde6a6c8d3"},"schema_version":"1.0"},"canonical_sha256":"204d898f78a3990a958ba3dda9c41e619a311159458fc773fdc4a1502fdc9ed6","source":{"kind":"arxiv","id":"2401.10460","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2401.10460","created_at":"2026-07-05T07:35:26Z"},{"alias_kind":"arxiv_version","alias_value":"2401.10460v1","created_at":"2026-07-05T07:35:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2401.10460","created_at":"2026-07-05T07:35:26Z"},{"alias_kind":"pith_short_12","alias_value":"EBGYTD3YUOMQ","created_at":"2026-07-05T07:35:26Z"},{"alias_kind":"pith_short_16","alias_value":"EBGYTD3YUOMQVFML","created_at":"2026-07-05T07:35:26Z"},{"alias_kind":"pith_short_8","alias_value":"EBGYTD3Y","created_at":"2026-07-05T07:35:26Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:EBGYTD3YUOMQVFMLUPO2TRA6MG","target":"record","payload":{"canonical_record":{"source":{"id":"2401.10460","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2024-01-19T02:51:00Z","cross_cats_sorted":["cs.LG","eess.AS"],"title_canon_sha256":"50dd04d740d377d8b309bcab9a1f64247e1402593c74de044ca31bed8e689ead","abstract_canon_sha256":"638fd78f7490f4ee7b8ce896c8bc8953ce9eb0f13928960bcc5baadde6a6c8d3"},"schema_version":"1.0"},"canonical_sha256":"204d898f78a3990a958ba3dda9c41e619a311159458fc773fdc4a1502fdc9ed6","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:35:26.662109Z","signature_b64":"uXYouGLvXNFJrJZhLq/GGL+J+yopHiL1CwF0PuGM6LoC20H9v8P395J62w3W9FKi6L5zvIWtTpGAeqLxQAmxBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"204d898f78a3990a958ba3dda9c41e619a311159458fc773fdc4a1502fdc9ed6","last_reissued_at":"2026-07-05T07:35:26.661626Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:35:26.661626Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2401.10460","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":"2026-07-05T07:35:26Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"LGjGddabtX3v7yzxXkr2mH3IQvsWf+lR8l/7R6TRtJBelkgdHhlQOtipD6Rr5RrMfTZWIKTlAzwfRqrgBocRDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-14T18:32:06.038626Z"},"content_sha256":"89682d9812e06e0fd9915a999a2d20d6139aa1e0da917385bbe73c34718612f4","schema_version":"1.0","event_id":"sha256:89682d9812e06e0fd9915a999a2d20d6139aa1e0da917385bbe73c34718612f4"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:EBGYTD3YUOMQVFMLUPO2TRA6MG","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Ultra-lightweight Neural Differential DSP Vocoder For High Quality Speech Synthesis","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG","eess.AS"],"primary_cat":"cs.SD","authors_text":"Prabhav Agrawal, Prashant Serai, Qing He, Thilo Koehler, Zhiping Xiu","submitted_at":"2024-01-19T02:51:00Z","abstract_excerpt":"Neural vocoders model the raw audio waveform and synthesize high-quality audio, but even the highly efficient ones, like MB-MelGAN and LPCNet, fail to run real-time on a low-end device like a smartglass. A pure digital signal processing (DSP) based vocoder can be implemented via lightweight fast Fourier transforms (FFT), and therefore, is a magnitude faster than any neural vocoder. A DSP vocoder often gets a lower audio quality due to consuming over-smoothed acoustic model predictions of approximate representations for the vocal tract. In this paper, we propose an ultra-lightweight differentia"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2401.10460","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/2401.10460/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":"2026-07-05T07:35:26Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"E5+seUM7rShzupAUM88t3o6KofUlBtKYnww+j6m5Nu2SEgIyfEa6NpmDAmqVWahEyooj7xKISNpptnIxqLAeBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-14T18:32:06.039756Z"},"content_sha256":"1f0e202b7a570751a0e215c4955bcc28ae807e74a1b95fee714a3d35a4ca80ee","schema_version":"1.0","event_id":"sha256:1f0e202b7a570751a0e215c4955bcc28ae807e74a1b95fee714a3d35a4ca80ee"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/EBGYTD3YUOMQVFMLUPO2TRA6MG/bundle.json","state_url":"https://pith.science/pith/EBGYTD3YUOMQVFMLUPO2TRA6MG/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/EBGYTD3YUOMQVFMLUPO2TRA6MG/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":"2026-08-14T18:32:06Z","links":{"resolver":"https://pith.science/pith/EBGYTD3YUOMQVFMLUPO2TRA6MG","bundle":"https://pith.science/pith/EBGYTD3YUOMQVFMLUPO2TRA6MG/bundle.json","state":"https://pith.science/pith/EBGYTD3YUOMQVFMLUPO2TRA6MG/state.json","well_known_bundle":"https://pith.science/.well-known/pith/EBGYTD3YUOMQVFMLUPO2TRA6MG/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:EBGYTD3YUOMQVFMLUPO2TRA6MG","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":"638fd78f7490f4ee7b8ce896c8bc8953ce9eb0f13928960bcc5baadde6a6c8d3","cross_cats_sorted":["cs.LG","eess.AS"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2024-01-19T02:51:00Z","title_canon_sha256":"50dd04d740d377d8b309bcab9a1f64247e1402593c74de044ca31bed8e689ead"},"schema_version":"1.0","source":{"id":"2401.10460","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2401.10460","created_at":"2026-07-05T07:35:26Z"},{"alias_kind":"arxiv_version","alias_value":"2401.10460v1","created_at":"2026-07-05T07:35:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2401.10460","created_at":"2026-07-05T07:35:26Z"},{"alias_kind":"pith_short_12","alias_value":"EBGYTD3YUOMQ","created_at":"2026-07-05T07:35:26Z"},{"alias_kind":"pith_short_16","alias_value":"EBGYTD3YUOMQVFML","created_at":"2026-07-05T07:35:26Z"},{"alias_kind":"pith_short_8","alias_value":"EBGYTD3Y","created_at":"2026-07-05T07:35:26Z"}],"graph_snapshots":[{"event_id":"sha256:1f0e202b7a570751a0e215c4955bcc28ae807e74a1b95fee714a3d35a4ca80ee","target":"graph","created_at":"2026-07-05T07:35:26Z","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/2401.10460/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Neural vocoders model the raw audio waveform and synthesize high-quality audio, but even the highly efficient ones, like MB-MelGAN and LPCNet, fail to run real-time on a low-end device like a smartglass. A pure digital signal processing (DSP) based vocoder can be implemented via lightweight fast Fourier transforms (FFT), and therefore, is a magnitude faster than any neural vocoder. A DSP vocoder often gets a lower audio quality due to consuming over-smoothed acoustic model predictions of approximate representations for the vocal tract. In this paper, we propose an ultra-lightweight differentia","authors_text":"Prabhav Agrawal, Prashant Serai, Qing He, Thilo Koehler, Zhiping Xiu","cross_cats":["cs.LG","eess.AS"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2024-01-19T02:51:00Z","title":"Ultra-lightweight Neural Differential DSP Vocoder For High Quality Speech Synthesis"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2401.10460","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":"sha256:89682d9812e06e0fd9915a999a2d20d6139aa1e0da917385bbe73c34718612f4","target":"record","created_at":"2026-07-05T07:35:26Z","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":"638fd78f7490f4ee7b8ce896c8bc8953ce9eb0f13928960bcc5baadde6a6c8d3","cross_cats_sorted":["cs.LG","eess.AS"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2024-01-19T02:51:00Z","title_canon_sha256":"50dd04d740d377d8b309bcab9a1f64247e1402593c74de044ca31bed8e689ead"},"schema_version":"1.0","source":{"id":"2401.10460","kind":"arxiv","version":1}},"canonical_sha256":"204d898f78a3990a958ba3dda9c41e619a311159458fc773fdc4a1502fdc9ed6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"204d898f78a3990a958ba3dda9c41e619a311159458fc773fdc4a1502fdc9ed6","first_computed_at":"2026-07-05T07:35:26.661626Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:35:26.661626Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"uXYouGLvXNFJrJZhLq/GGL+J+yopHiL1CwF0PuGM6LoC20H9v8P395J62w3W9FKi6L5zvIWtTpGAeqLxQAmxBw==","signature_status":"signed_v1","signed_at":"2026-07-05T07:35:26.662109Z","signed_message":"canonical_sha256_bytes"},"source_id":"2401.10460","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:89682d9812e06e0fd9915a999a2d20d6139aa1e0da917385bbe73c34718612f4","sha256:1f0e202b7a570751a0e215c4955bcc28ae807e74a1b95fee714a3d35a4ca80ee"],"state_sha256":"bbdb5e19d5cbd81186eab7e724ba2094e87ded2ab63460dc54c3d6a19968ade3"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5eIRhbQsU945JMzJsqLCmYW76GvbuN1DL7ejP299CICnvpKG0fiyYQAg8/uKG0auZSSc9snNV4f7MvK1CL4IAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-14T18:32:06.051916Z","bundle_sha256":"34cce8d1608a1f84d60681281c181a03a7b76929ccd2ac168e3a24d601535ce4"}}