{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:SGTJAWB4USVWGNO7VV7YBK2QLW","short_pith_number":"pith:SGTJAWB4","schema_version":"1.0","canonical_sha256":"91a690583ca4ab6335dfad7f80ab505d9e2a7399bf16a5289f498fc906836fdb","source":{"kind":"arxiv","id":"2502.01993","version":2},"attestation_state":"computed","paper":{"title":"One Diffusion Step to Real-World Super-Resolution via Flow Trajectory Distillation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Jianze Li, Jiezhang Cao, Wenbo Li, Yong Guo, Yulun Zhang","submitted_at":"2025-02-04T04:11:29Z","abstract_excerpt":"Diffusion models (DMs) have significantly advanced the development of real-world image super-resolution (Real-ISR), but the computational cost of multi-step diffusion models limits their application. One-step diffusion models generate high-quality images in a one sampling step, greatly reducing computational overhead and inference latency. However, most existing one-step diffusion methods are constrained by the performance of the teacher model, where poor teacher performance results in image artifacts. To address this limitation, we propose FluxSR, a novel one-step diffusion Real-ISR technique"},"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":"2502.01993","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-02-04T04:11:29Z","cross_cats_sorted":[],"title_canon_sha256":"7abd097ce7b6ed30880f2a80386dd2e55b390925cb818e7a4834fef00444890d","abstract_canon_sha256":"4ace381f0be47260b9e0f8d2435633aa31fdebd9d08b7843255fb99da14c3433"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:13:08.142959Z","signature_b64":"5LI8ZOqobrb2iENgDYzcv9FVubOIkB1q4P9ypjztuZBhYyyCNhdUS9bXBeNoTvAX0a1Ib7TaxF4Iajju0W1kCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"91a690583ca4ab6335dfad7f80ab505d9e2a7399bf16a5289f498fc906836fdb","last_reissued_at":"2026-07-05T10:13:08.142434Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:13:08.142434Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"One Diffusion Step to Real-World Super-Resolution via Flow Trajectory Distillation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Jianze Li, Jiezhang Cao, Wenbo Li, Yong Guo, Yulun Zhang","submitted_at":"2025-02-04T04:11:29Z","abstract_excerpt":"Diffusion models (DMs) have significantly advanced the development of real-world image super-resolution (Real-ISR), but the computational cost of multi-step diffusion models limits their application. One-step diffusion models generate high-quality images in a one sampling step, greatly reducing computational overhead and inference latency. However, most existing one-step diffusion methods are constrained by the performance of the teacher model, where poor teacher performance results in image artifacts. To address this limitation, we propose FluxSR, a novel one-step diffusion Real-ISR technique"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.01993","kind":"arxiv","version":2},"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/2502.01993/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":"2502.01993","created_at":"2026-07-05T10:13:08.142501+00:00"},{"alias_kind":"arxiv_version","alias_value":"2502.01993v2","created_at":"2026-07-05T10:13:08.142501+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.01993","created_at":"2026-07-05T10:13:08.142501+00:00"},{"alias_kind":"pith_short_12","alias_value":"SGTJAWB4USVW","created_at":"2026-07-05T10:13:08.142501+00:00"},{"alias_kind":"pith_short_16","alias_value":"SGTJAWB4USVWGNO7","created_at":"2026-07-05T10:13:08.142501+00:00"},{"alias_kind":"pith_short_8","alias_value":"SGTJAWB4","created_at":"2026-07-05T10:13:08.142501+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":8,"internal_anchor_count":0,"sample":[{"citing_arxiv_id":"2606.23226","citing_title":"PhysFlow: Frequency Decoupled with Dual-Field Rectified Flow for Remote Photoplethysmography","ref_index":43,"is_internal_anchor":false},{"citing_arxiv_id":"2606.09608","citing_title":"TUDSR: Twice Upsampling-Diffusion for Higher Super-Resolution","ref_index":22,"is_internal_anchor":false},{"citing_arxiv_id":"2605.15682","citing_title":"DreamSR: Towards Ultra-High-Resolution Image Super-Resolution via a Receptive-Field Enhanced Diffusion Transformer","ref_index":31,"is_internal_anchor":false},{"citing_arxiv_id":"2605.13457","citing_title":"OP4KSR: One-Step Patch-Free 4K Super-Resolution with Periodic Artifact Suppression","ref_index":26,"is_internal_anchor":false},{"citing_arxiv_id":"2605.03749","citing_title":"FluxFlow: Conservative Flow-Matching for Astronomical Image Super-Resolution","ref_index":7,"is_internal_anchor":false},{"citing_arxiv_id":"2604.24136","citing_title":"Bridging Restoration and Generation Manifolds in One-Step Diffusion for Real-World Super-Resolution","ref_index":12,"is_internal_anchor":false},{"citing_arxiv_id":"2604.24136","citing_title":"Bridging Restoration and Generation Manifolds in One-Step Diffusion for Real-World Super-Resolution","ref_index":12,"is_internal_anchor":false},{"citing_arxiv_id":"2605.03749","citing_title":"FluxFlow: Conservative Flow-Matching for Astronomical Image Super-Resolution","ref_index":7,"is_internal_anchor":false}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/SGTJAWB4USVWGNO7VV7YBK2QLW","json":"https://pith.science/pith/SGTJAWB4USVWGNO7VV7YBK2QLW.json","graph_json":"https://pith.science/api/pith-number/SGTJAWB4USVWGNO7VV7YBK2QLW/graph.json","events_json":"https://pith.science/api/pith-number/SGTJAWB4USVWGNO7VV7YBK2QLW/events.json","paper":"https://pith.science/paper/SGTJAWB4"},"agent_actions":{"view_html":"https://pith.science/pith/SGTJAWB4USVWGNO7VV7YBK2QLW","download_json":"https://pith.science/pith/SGTJAWB4USVWGNO7VV7YBK2QLW.json","view_paper":"https://pith.science/paper/SGTJAWB4","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2502.01993&json=true","fetch_graph":"https://pith.science/api/pith-number/SGTJAWB4USVWGNO7VV7YBK2QLW/graph.json","fetch_events":"https://pith.science/api/pith-number/SGTJAWB4USVWGNO7VV7YBK2QLW/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/SGTJAWB4USVWGNO7VV7YBK2QLW/action/timestamp_anchor","attest_storage":"https://pith.science/pith/SGTJAWB4USVWGNO7VV7YBK2QLW/action/storage_attestation","attest_author":"https://pith.science/pith/SGTJAWB4USVWGNO7VV7YBK2QLW/action/author_attestation","sign_citation":"https://pith.science/pith/SGTJAWB4USVWGNO7VV7YBK2QLW/action/citation_signature","submit_replication":"https://pith.science/pith/SGTJAWB4USVWGNO7VV7YBK2QLW/action/replication_record"}},"created_at":"2026-07-05T10:13:08.142501+00:00","updated_at":"2026-07-05T10:13:08.142501+00:00"}