{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:JAVZ35SF5SAK3GXC3VJA3GC6CF","short_pith_number":"pith:JAVZ35SF","schema_version":"1.0","canonical_sha256":"482b9df645ec80ad9ae2dd520d985e11438c3751b34886dd94d86315db803d69","source":{"kind":"arxiv","id":"2501.07897","version":1},"attestation_state":"computed","paper":{"title":"Bridge-SR: Schr\\\"odinger Bridge for Efficient SR","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["eess.AS"],"primary_cat":"cs.SD","authors_text":"Chang Li, Fan Bao, Jun Zhu, Zehua Chen","submitted_at":"2025-01-14T07:26:05Z","abstract_excerpt":"Speech super-resolution (SR), which generates a waveform at a higher sampling rate from its low-resolution version, is a long-standing critical task in speech restoration. Previous works have explored speech SR in different data spaces, but these methods either require additional compression networks or exhibit limited synthesis quality and inference speed. Motivated by recent advances in probabilistic generative models, we present Bridge-SR, a novel and efficient any-to-48kHz SR system in the speech waveform domain. Using tractable Schr\\\"odinger Bridge models, we leverage the observed low-res"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2501.07897","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2025-01-14T07:26:05Z","cross_cats_sorted":["eess.AS"],"title_canon_sha256":"66f2a1fa2a7ae5c6b7d10066ed6d4b22e0cb8dbf22850042fd1d0b419d920d7f","abstract_canon_sha256":"2e1263addf120fe0311431a0c3a5c6bfed6e6bec4794d0737cb6e60e6539199d"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:00:52.184292Z","signature_b64":"NURovSz9AaaFPxO9d/uUUakt6zbzPZRwEUWRVjRyoAtl+sz3Cd1BbNNy6MSmFdHZNQf7DLSU/0TCQlcqoPclDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"482b9df645ec80ad9ae2dd520d985e11438c3751b34886dd94d86315db803d69","last_reissued_at":"2026-07-05T10:00:52.183793Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:00:52.183793Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Bridge-SR: Schr\\\"odinger Bridge for Efficient SR","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["eess.AS"],"primary_cat":"cs.SD","authors_text":"Chang Li, Fan Bao, Jun Zhu, Zehua Chen","submitted_at":"2025-01-14T07:26:05Z","abstract_excerpt":"Speech super-resolution (SR), which generates a waveform at a higher sampling rate from its low-resolution version, is a long-standing critical task in speech restoration. Previous works have explored speech SR in different data spaces, but these methods either require additional compression networks or exhibit limited synthesis quality and inference speed. Motivated by recent advances in probabilistic generative models, we present Bridge-SR, a novel and efficient any-to-48kHz SR system in the speech waveform domain. Using tractable Schr\\\"odinger Bridge models, we leverage the observed low-res"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.07897","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/2501.07897/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2501.07897","created_at":"2026-07-05T10:00:52.183857+00:00"},{"alias_kind":"arxiv_version","alias_value":"2501.07897v1","created_at":"2026-07-05T10:00:52.183857+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.07897","created_at":"2026-07-05T10:00:52.183857+00:00"},{"alias_kind":"pith_short_12","alias_value":"JAVZ35SF5SAK","created_at":"2026-07-05T10:00:52.183857+00:00"},{"alias_kind":"pith_short_16","alias_value":"JAVZ35SF5SAK3GXC","created_at":"2026-07-05T10:00:52.183857+00:00"},{"alias_kind":"pith_short_8","alias_value":"JAVZ35SF","created_at":"2026-07-05T10:00:52.183857+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2501.11311","citing_title":"A2SB: Audio-to-Audio Schrodinger Bridges","ref_index":33,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/JAVZ35SF5SAK3GXC3VJA3GC6CF","json":"https://pith.science/pith/JAVZ35SF5SAK3GXC3VJA3GC6CF.json","graph_json":"https://pith.science/api/pith-number/JAVZ35SF5SAK3GXC3VJA3GC6CF/graph.json","events_json":"https://pith.science/api/pith-number/JAVZ35SF5SAK3GXC3VJA3GC6CF/events.json","paper":"https://pith.science/paper/JAVZ35SF"},"agent_actions":{"view_html":"https://pith.science/pith/JAVZ35SF5SAK3GXC3VJA3GC6CF","download_json":"https://pith.science/pith/JAVZ35SF5SAK3GXC3VJA3GC6CF.json","view_paper":"https://pith.science/paper/JAVZ35SF","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2501.07897&json=true","fetch_graph":"https://pith.science/api/pith-number/JAVZ35SF5SAK3GXC3VJA3GC6CF/graph.json","fetch_events":"https://pith.science/api/pith-number/JAVZ35SF5SAK3GXC3VJA3GC6CF/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/JAVZ35SF5SAK3GXC3VJA3GC6CF/action/timestamp_anchor","attest_storage":"https://pith.science/pith/JAVZ35SF5SAK3GXC3VJA3GC6CF/action/storage_attestation","attest_author":"https://pith.science/pith/JAVZ35SF5SAK3GXC3VJA3GC6CF/action/author_attestation","sign_citation":"https://pith.science/pith/JAVZ35SF5SAK3GXC3VJA3GC6CF/action/citation_signature","submit_replication":"https://pith.science/pith/JAVZ35SF5SAK3GXC3VJA3GC6CF/action/replication_record"}},"created_at":"2026-07-05T10:00:52.183857+00:00","updated_at":"2026-07-05T10:00:52.183857+00:00"}