{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2022:ZFJEXQFWZ73L6JVZ344FRIAXN4","short_pith_number":"pith:ZFJEXQFW","schema_version":"1.0","canonical_sha256":"c9524bc0b6cff6bf26b9df3858a0176f03b74d98976296ba0fa515fff85833a9","source":{"kind":"arxiv","id":"2205.10120","version":7},"attestation_state":"computed","paper":{"title":"Privacy Preserving Image Registration","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.CR","eess.IV"],"primary_cat":"cs.CV","authors_text":"Francesco Capano, Marco Lorenzi, Melek \\\"Onen, Olivier Humbert, Riccardo Taiello","submitted_at":"2022-05-17T14:00:58Z","abstract_excerpt":"Image registration is a key task in medical imaging applications, allowing to represent medical images in a common spatial reference frame. Current approaches to image registration are generally based on the assumption that the content of the images is usually accessible in clear form, from which the spatial transformation is subsequently estimated. This common assumption may not be met in practical applications, since the sensitive nature of medical images may ultimately require their analysis under privacy constraints, preventing to openly share the image content.In this work, we formulate t"},"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":"2205.10120","kind":"arxiv","version":7},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-05-17T14:00:58Z","cross_cats_sorted":["cs.AI","cs.CR","eess.IV"],"title_canon_sha256":"710edc25ffa6e7748c9922f261f733377475ab73000d122388195a691ebcdf2e","abstract_canon_sha256":"71259b1ea1508dab2fc8ee7ae6339dc54e1b6933da1881188b6b705d64302e59"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:08:14.838428Z","signature_b64":"RbxKoiOy7U3Gk3nrmkPbryKrs7WmDYG127BprXqslUL7xH+LIDyhuAB/AMLUsFvtaem2kaGm5YHg5wU4Bm99CA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c9524bc0b6cff6bf26b9df3858a0176f03b74d98976296ba0fa515fff85833a9","last_reissued_at":"2026-07-05T08:08:14.838077Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:08:14.838077Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Privacy Preserving Image Registration","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.CR","eess.IV"],"primary_cat":"cs.CV","authors_text":"Francesco Capano, Marco Lorenzi, Melek \\\"Onen, Olivier Humbert, Riccardo Taiello","submitted_at":"2022-05-17T14:00:58Z","abstract_excerpt":"Image registration is a key task in medical imaging applications, allowing to represent medical images in a common spatial reference frame. Current approaches to image registration are generally based on the assumption that the content of the images is usually accessible in clear form, from which the spatial transformation is subsequently estimated. This common assumption may not be met in practical applications, since the sensitive nature of medical images may ultimately require their analysis under privacy constraints, preventing to openly share the image content.In this work, we formulate t"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2205.10120","kind":"arxiv","version":7},"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/2205.10120/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":"2205.10120","created_at":"2026-07-05T08:08:14.838133+00:00"},{"alias_kind":"arxiv_version","alias_value":"2205.10120v7","created_at":"2026-07-05T08:08:14.838133+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2205.10120","created_at":"2026-07-05T08:08:14.838133+00:00"},{"alias_kind":"pith_short_12","alias_value":"ZFJEXQFWZ73L","created_at":"2026-07-05T08:08:14.838133+00:00"},{"alias_kind":"pith_short_16","alias_value":"ZFJEXQFWZ73L6JVZ","created_at":"2026-07-05T08:08:14.838133+00:00"},{"alias_kind":"pith_short_8","alias_value":"ZFJEXQFW","created_at":"2026-07-05T08:08:14.838133+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/ZFJEXQFWZ73L6JVZ344FRIAXN4","json":"https://pith.science/pith/ZFJEXQFWZ73L6JVZ344FRIAXN4.json","graph_json":"https://pith.science/api/pith-number/ZFJEXQFWZ73L6JVZ344FRIAXN4/graph.json","events_json":"https://pith.science/api/pith-number/ZFJEXQFWZ73L6JVZ344FRIAXN4/events.json","paper":"https://pith.science/paper/ZFJEXQFW"},"agent_actions":{"view_html":"https://pith.science/pith/ZFJEXQFWZ73L6JVZ344FRIAXN4","download_json":"https://pith.science/pith/ZFJEXQFWZ73L6JVZ344FRIAXN4.json","view_paper":"https://pith.science/paper/ZFJEXQFW","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2205.10120&json=true","fetch_graph":"https://pith.science/api/pith-number/ZFJEXQFWZ73L6JVZ344FRIAXN4/graph.json","fetch_events":"https://pith.science/api/pith-number/ZFJEXQFWZ73L6JVZ344FRIAXN4/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/ZFJEXQFWZ73L6JVZ344FRIAXN4/action/timestamp_anchor","attest_storage":"https://pith.science/pith/ZFJEXQFWZ73L6JVZ344FRIAXN4/action/storage_attestation","attest_author":"https://pith.science/pith/ZFJEXQFWZ73L6JVZ344FRIAXN4/action/author_attestation","sign_citation":"https://pith.science/pith/ZFJEXQFWZ73L6JVZ344FRIAXN4/action/citation_signature","submit_replication":"https://pith.science/pith/ZFJEXQFWZ73L6JVZ344FRIAXN4/action/replication_record"}},"created_at":"2026-07-05T08:08:14.838133+00:00","updated_at":"2026-07-05T08:08:14.838133+00:00"}