{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:F5E2DEI23NU4PBZSMUPPSYBEE3","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":"7eaca6228eaa81ebb28ba01737c9c66832378fa0380d04375409c016655cf8ff","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-09-12T16:42:09Z","title_canon_sha256":"a73ac4e8dc0859a28504ebaa988ddd76cc597a62c91f3683f0c0438ff241b2a8"},"schema_version":"1.0","source":{"id":"2309.06380","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2309.06380","created_at":"2026-07-05T07:59:53Z"},{"alias_kind":"arxiv_version","alias_value":"2309.06380v2","created_at":"2026-07-05T07:59:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2309.06380","created_at":"2026-07-05T07:59:53Z"},{"alias_kind":"pith_short_12","alias_value":"F5E2DEI23NU4","created_at":"2026-07-05T07:59:53Z"},{"alias_kind":"pith_short_16","alias_value":"F5E2DEI23NU4PBZS","created_at":"2026-07-05T07:59:53Z"},{"alias_kind":"pith_short_8","alias_value":"F5E2DEI2","created_at":"2026-07-05T07:59:53Z"}],"graph_snapshots":[{"event_id":"sha256:7101534218742fd38b17a7c174a70534c0c082ad6b24c20dd7a3ea5fffb8bac1","target":"graph","created_at":"2026-07-05T07:59:53Z","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/2309.06380/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Diffusion models have revolutionized text-to-image generation with its exceptional quality and creativity. However, its multi-step sampling process is known to be slow, often requiring tens of inference steps to obtain satisfactory results. Previous attempts to improve its sampling speed and reduce computational costs through distillation have been unsuccessful in achieving a functional one-step model. In this paper, we explore a recent method called Rectified Flow, which, thus far, has only been applied to small datasets. The core of Rectified Flow lies in its \\emph{reflow} procedure, which s","authors_text":"Jian Peng, Jianzhu Ma, Qiang Liu, Xingchao Liu, Xiwen Zhang","cross_cats":["cs.CV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-09-12T16:42:09Z","title":"InstaFlow: One Step is Enough for High-Quality Diffusion-Based Text-to-Image Generation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2309.06380","kind":"arxiv","version":2},"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:baa95d0c5d9bc54b04b6ef402698d1ea3664b0a86363c10db29778b2d9682034","target":"record","created_at":"2026-07-05T07:59:53Z","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":"7eaca6228eaa81ebb28ba01737c9c66832378fa0380d04375409c016655cf8ff","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-09-12T16:42:09Z","title_canon_sha256":"a73ac4e8dc0859a28504ebaa988ddd76cc597a62c91f3683f0c0438ff241b2a8"},"schema_version":"1.0","source":{"id":"2309.06380","kind":"arxiv","version":2}},"canonical_sha256":"2f49a1911adb69c78732651ef9602426e3434de3d1227a133358af3c92ecf7a7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2f49a1911adb69c78732651ef9602426e3434de3d1227a133358af3c92ecf7a7","first_computed_at":"2026-07-05T07:59:53.026708Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:59:53.026708Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"F+1nK/IGlxL7IDPQFhF8jjGfUADNqSKwE2k2KMcOqZOwBOE4753j4tS7WUupEWVmoXKS5i20VO8UC9G0GED2AQ==","signature_status":"signed_v1","signed_at":"2026-07-05T07:59:53.027134Z","signed_message":"canonical_sha256_bytes"},"source_id":"2309.06380","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:baa95d0c5d9bc54b04b6ef402698d1ea3664b0a86363c10db29778b2d9682034","sha256:7101534218742fd38b17a7c174a70534c0c082ad6b24c20dd7a3ea5fffb8bac1"],"state_sha256":"1c17f7f2579ba6a414fd9c54dab5e6e7b2af2330978d17b650bae12c27d4107f"}