{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:TYZI5EKPSCMJZ2RKGSPXPWCYSU","short_pith_number":"pith:TYZI5EKP","schema_version":"1.0","canonical_sha256":"9e328e914f90989cea2a349f77d8589527cf711db1846febf5de3583843057a5","source":{"kind":"arxiv","id":"2606.01651","version":1},"attestation_state":"computed","paper":{"title":"Restoring Initial Noise Sensitivity in Text-to-Image Distillation via Geometric Alignment","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Daiguo Zhou, Huayang Huang, Jian Luan, Jinhui Zhao, Ruoyu Wang, Wei Deng, Ye Zhu, Yu Wu","submitted_at":"2026-06-01T03:58:47Z","abstract_excerpt":"Generative distillation significantly accelerates text-to-image (T2I) generation by compressing multi-step trajectories into few-step student models while preserving perceptual quality. However, existing methods primarily optimize efficiency and output fidelity, often neglecting critical properties of the original trajectory. In this work, we identify a key missing property: sensitivity to initial noise, whose degradation impairs downstream control methods relying on noise-based optimization and manipulation. We trace this issue to standard distillation objectives that enforce pointwise output"},"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":"2606.01651","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-01T03:58:47Z","cross_cats_sorted":[],"title_canon_sha256":"dc4bae45b788aa808fdac943ffc8713c807d86df4478e4cce99c9a230c6a5281","abstract_canon_sha256":"0f391866e1463507840f75cd52a84f77fa7221d3d6b1e263337f81e6ceff1f8b"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-02T02:04:39.201214Z","signature_b64":"TdykPYl09dBV+Y9IOJb9jltOPgasGQFuUDAYyWryXBbCYzNYdd09qDfJtxC6jkdwXswG6CLywEd9MysLCVsKBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9e328e914f90989cea2a349f77d8589527cf711db1846febf5de3583843057a5","last_reissued_at":"2026-06-02T02:04:39.200842Z","signature_status":"signed_v1","first_computed_at":"2026-06-02T02:04:39.200842Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Restoring Initial Noise Sensitivity in Text-to-Image Distillation via Geometric Alignment","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Daiguo Zhou, Huayang Huang, Jian Luan, Jinhui Zhao, Ruoyu Wang, Wei Deng, Ye Zhu, Yu Wu","submitted_at":"2026-06-01T03:58:47Z","abstract_excerpt":"Generative distillation significantly accelerates text-to-image (T2I) generation by compressing multi-step trajectories into few-step student models while preserving perceptual quality. However, existing methods primarily optimize efficiency and output fidelity, often neglecting critical properties of the original trajectory. In this work, we identify a key missing property: sensitivity to initial noise, whose degradation impairs downstream control methods relying on noise-based optimization and manipulation. We trace this issue to standard distillation objectives that enforce pointwise output"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.01651","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/2606.01651/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":"2606.01651","created_at":"2026-06-02T02:04:39.200898+00:00"},{"alias_kind":"arxiv_version","alias_value":"2606.01651v1","created_at":"2026-06-02T02:04:39.200898+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.01651","created_at":"2026-06-02T02:04:39.200898+00:00"},{"alias_kind":"pith_short_12","alias_value":"TYZI5EKPSCMJ","created_at":"2026-06-02T02:04:39.200898+00:00"},{"alias_kind":"pith_short_16","alias_value":"TYZI5EKPSCMJZ2RK","created_at":"2026-06-02T02:04:39.200898+00:00"},{"alias_kind":"pith_short_8","alias_value":"TYZI5EKP","created_at":"2026-06-02T02:04:39.200898+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/TYZI5EKPSCMJZ2RKGSPXPWCYSU","json":"https://pith.science/pith/TYZI5EKPSCMJZ2RKGSPXPWCYSU.json","graph_json":"https://pith.science/api/pith-number/TYZI5EKPSCMJZ2RKGSPXPWCYSU/graph.json","events_json":"https://pith.science/api/pith-number/TYZI5EKPSCMJZ2RKGSPXPWCYSU/events.json","paper":"https://pith.science/paper/TYZI5EKP"},"agent_actions":{"view_html":"https://pith.science/pith/TYZI5EKPSCMJZ2RKGSPXPWCYSU","download_json":"https://pith.science/pith/TYZI5EKPSCMJZ2RKGSPXPWCYSU.json","view_paper":"https://pith.science/paper/TYZI5EKP","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2606.01651&json=true","fetch_graph":"https://pith.science/api/pith-number/TYZI5EKPSCMJZ2RKGSPXPWCYSU/graph.json","fetch_events":"https://pith.science/api/pith-number/TYZI5EKPSCMJZ2RKGSPXPWCYSU/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/TYZI5EKPSCMJZ2RKGSPXPWCYSU/action/timestamp_anchor","attest_storage":"https://pith.science/pith/TYZI5EKPSCMJZ2RKGSPXPWCYSU/action/storage_attestation","attest_author":"https://pith.science/pith/TYZI5EKPSCMJZ2RKGSPXPWCYSU/action/author_attestation","sign_citation":"https://pith.science/pith/TYZI5EKPSCMJZ2RKGSPXPWCYSU/action/citation_signature","submit_replication":"https://pith.science/pith/TYZI5EKPSCMJZ2RKGSPXPWCYSU/action/replication_record"}},"created_at":"2026-06-02T02:04:39.200898+00:00","updated_at":"2026-06-02T02:04:39.200898+00:00"}