{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:2FHKMLSUC2P6G2XXB2HO4MM62S","short_pith_number":"pith:2FHKMLSU","schema_version":"1.0","canonical_sha256":"d14ea62e54169fe36af70e8eee319ed4ac6821db03e38880a3da9cf0b8bd281f","source":{"kind":"arxiv","id":"2608.00079","version":1},"attestation_state":"computed","paper":{"title":"LeapTalk: Breaking the Latency-Quality Trade-off in Talking Head Generation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.SD"],"primary_cat":"cs.CV","authors_text":"Rongxiang Zhang, Songhua Liu","submitted_at":"2026-07-29T14:44:57Z","abstract_excerpt":"Long-form and real-time talking-head generation remains challenging due to a latency-quality trade-off: inefficient multi-step diffusion prohibits streaming generation, whereas real-time autoregressive approaches suffer from error accumulation and identity drift. To address this drawback, we propose LeapTalk, a novel framework that achieves stable and real-time talking-head generation with a single forward step, scaling to arbitrarily long videos. At the heart of our approach lies a single-step bridge distillation scheme. On the one hand, departing from the conventional noise-to-data paradigm,"},"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":"2608.00079","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-07-29T14:44:57Z","cross_cats_sorted":["cs.SD"],"title_canon_sha256":"8102e86a1d33c159badb03d5e6af44c0a726136e8ad670383d2f948e25e30063","abstract_canon_sha256":"1e9929e80cc812f09caeac1809bfc8fe8650fb300949a518647577787fcf593c"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-08-04T00:32:14.163859Z","signature_b64":"NyptJFDYkKqxp624ODwfYEBWlGwWwmPp6o+45vygHnQKUQV34C0xbzdk4binaKGNhBWDtabdaEs73vtiZtN1Cw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d14ea62e54169fe36af70e8eee319ed4ac6821db03e38880a3da9cf0b8bd281f","last_reissued_at":"2026-08-04T00:32:14.162351Z","signature_status":"signed_v1","first_computed_at":"2026-08-04T00:32:14.162351Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"LeapTalk: Breaking the Latency-Quality Trade-off in Talking Head Generation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.SD"],"primary_cat":"cs.CV","authors_text":"Rongxiang Zhang, Songhua Liu","submitted_at":"2026-07-29T14:44:57Z","abstract_excerpt":"Long-form and real-time talking-head generation remains challenging due to a latency-quality trade-off: inefficient multi-step diffusion prohibits streaming generation, whereas real-time autoregressive approaches suffer from error accumulation and identity drift. To address this drawback, we propose LeapTalk, a novel framework that achieves stable and real-time talking-head generation with a single forward step, scaling to arbitrarily long videos. At the heart of our approach lies a single-step bridge distillation scheme. On the one hand, departing from the conventional noise-to-data paradigm,"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.00079","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/2608.00079/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":"2608.00079","created_at":"2026-08-04T00:32:14.163459+00:00"},{"alias_kind":"arxiv_version","alias_value":"2608.00079v1","created_at":"2026-08-04T00:32:14.163459+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.00079","created_at":"2026-08-04T00:32:14.163459+00:00"},{"alias_kind":"pith_short_12","alias_value":"2FHKMLSUC2P6","created_at":"2026-08-04T00:32:14.163459+00:00"},{"alias_kind":"pith_short_16","alias_value":"2FHKMLSUC2P6G2XX","created_at":"2026-08-04T00:32:14.163459+00:00"},{"alias_kind":"pith_short_8","alias_value":"2FHKMLSU","created_at":"2026-08-04T00:32:14.163459+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/2FHKMLSUC2P6G2XXB2HO4MM62S","json":"https://pith.science/pith/2FHKMLSUC2P6G2XXB2HO4MM62S.json","graph_json":"https://pith.science/api/pith-number/2FHKMLSUC2P6G2XXB2HO4MM62S/graph.json","events_json":"https://pith.science/api/pith-number/2FHKMLSUC2P6G2XXB2HO4MM62S/events.json","paper":"https://pith.science/paper/2FHKMLSU"},"agent_actions":{"view_html":"https://pith.science/pith/2FHKMLSUC2P6G2XXB2HO4MM62S","download_json":"https://pith.science/pith/2FHKMLSUC2P6G2XXB2HO4MM62S.json","view_paper":"https://pith.science/paper/2FHKMLSU","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2608.00079&json=true","fetch_graph":"https://pith.science/api/pith-number/2FHKMLSUC2P6G2XXB2HO4MM62S/graph.json","fetch_events":"https://pith.science/api/pith-number/2FHKMLSUC2P6G2XXB2HO4MM62S/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/2FHKMLSUC2P6G2XXB2HO4MM62S/action/timestamp_anchor","attest_storage":"https://pith.science/pith/2FHKMLSUC2P6G2XXB2HO4MM62S/action/storage_attestation","attest_author":"https://pith.science/pith/2FHKMLSUC2P6G2XXB2HO4MM62S/action/author_attestation","sign_citation":"https://pith.science/pith/2FHKMLSUC2P6G2XXB2HO4MM62S/action/citation_signature","submit_replication":"https://pith.science/pith/2FHKMLSUC2P6G2XXB2HO4MM62S/action/replication_record"}},"created_at":"2026-08-04T00:32:14.163459+00:00","updated_at":"2026-08-04T00:32:14.163459+00:00"}