{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:NJRCVYLIO7Y5SP7A6GIP5AAIUL","short_pith_number":"pith:NJRCVYLI","schema_version":"1.0","canonical_sha256":"6a622ae16877f1d93fe0f190fe8008a2d769f66db4b01d2cc18a4824df9a8a2d","source":{"kind":"arxiv","id":"2606.19802","version":1},"attestation_state":"computed","paper":{"title":"Flow Map Denoisers: Traversing the Distortion-Perception Plane for Inverse Problems","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"cs.LG","authors_text":"Morteza Mardani, Nicolas Zilberstein, Santiago Segarra","submitted_at":"2026-06-18T05:15:43Z","abstract_excerpt":"Image restoration faces a fundamental tradeoff: methods that minimize error produce blurry reconstructions, while those that maximize perceptual quality yield sharp but less faithful images. Existing approaches either commit to a single operating point on this distortion perception (DP) frontier or require paired-data supervision, auxiliary models, or hyperparameter tuning of the sampler to access different points. We show that flow map models, a recent extension of flow matching for few-step sampling that learns an average field, implicitly define a one-parameter family of denoisers that cont"},"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":"2606.19802","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-06-18T05:15:43Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"c48e745cd1c5ebd933ae5506c4852731d7ff8dff0466852ae667b8bee21dbabc","abstract_canon_sha256":"51ce9ddc3018fe755689f50265f85530cb9874fc712bbfebdb8720dca477abee"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-19T16:12:35.660592Z","signature_b64":"LZIeKVSIjYPjOTSizYvnCVEByaHBMLaTwmDUBWs/idJkU7Jy1b3IKjqRhvtKE+8RQpYek9gcIHIn1J01zBL9Bw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6a622ae16877f1d93fe0f190fe8008a2d769f66db4b01d2cc18a4824df9a8a2d","last_reissued_at":"2026-06-19T16:12:35.660225Z","signature_status":"signed_v1","first_computed_at":"2026-06-19T16:12:35.660225Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Flow Map Denoisers: Traversing the Distortion-Perception Plane for Inverse Problems","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"cs.LG","authors_text":"Morteza Mardani, Nicolas Zilberstein, Santiago Segarra","submitted_at":"2026-06-18T05:15:43Z","abstract_excerpt":"Image restoration faces a fundamental tradeoff: methods that minimize error produce blurry reconstructions, while those that maximize perceptual quality yield sharp but less faithful images. Existing approaches either commit to a single operating point on this distortion perception (DP) frontier or require paired-data supervision, auxiliary models, or hyperparameter tuning of the sampler to access different points. We show that flow map models, a recent extension of flow matching for few-step sampling that learns an average field, implicitly define a one-parameter family of denoisers that cont"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.19802","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/2606.19802/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":"2606.19802","created_at":"2026-06-19T16:12:35.660288+00:00"},{"alias_kind":"arxiv_version","alias_value":"2606.19802v1","created_at":"2026-06-19T16:12:35.660288+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.19802","created_at":"2026-06-19T16:12:35.660288+00:00"},{"alias_kind":"pith_short_12","alias_value":"NJRCVYLIO7Y5","created_at":"2026-06-19T16:12:35.660288+00:00"},{"alias_kind":"pith_short_16","alias_value":"NJRCVYLIO7Y5SP7A","created_at":"2026-06-19T16:12:35.660288+00:00"},{"alias_kind":"pith_short_8","alias_value":"NJRCVYLI","created_at":"2026-06-19T16:12:35.660288+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/NJRCVYLIO7Y5SP7A6GIP5AAIUL","json":"https://pith.science/pith/NJRCVYLIO7Y5SP7A6GIP5AAIUL.json","graph_json":"https://pith.science/api/pith-number/NJRCVYLIO7Y5SP7A6GIP5AAIUL/graph.json","events_json":"https://pith.science/api/pith-number/NJRCVYLIO7Y5SP7A6GIP5AAIUL/events.json","paper":"https://pith.science/paper/NJRCVYLI"},"agent_actions":{"view_html":"https://pith.science/pith/NJRCVYLIO7Y5SP7A6GIP5AAIUL","download_json":"https://pith.science/pith/NJRCVYLIO7Y5SP7A6GIP5AAIUL.json","view_paper":"https://pith.science/paper/NJRCVYLI","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2606.19802&json=true","fetch_graph":"https://pith.science/api/pith-number/NJRCVYLIO7Y5SP7A6GIP5AAIUL/graph.json","fetch_events":"https://pith.science/api/pith-number/NJRCVYLIO7Y5SP7A6GIP5AAIUL/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/NJRCVYLIO7Y5SP7A6GIP5AAIUL/action/timestamp_anchor","attest_storage":"https://pith.science/pith/NJRCVYLIO7Y5SP7A6GIP5AAIUL/action/storage_attestation","attest_author":"https://pith.science/pith/NJRCVYLIO7Y5SP7A6GIP5AAIUL/action/author_attestation","sign_citation":"https://pith.science/pith/NJRCVYLIO7Y5SP7A6GIP5AAIUL/action/citation_signature","submit_replication":"https://pith.science/pith/NJRCVYLIO7Y5SP7A6GIP5AAIUL/action/replication_record"}},"created_at":"2026-06-19T16:12:35.660288+00:00","updated_at":"2026-06-19T16:12:35.660288+00:00"}