{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2016:UJUUVKJN7HW45RC3H7QHYFUEI4","short_pith_number":"pith:UJUUVKJN","schema_version":"1.0","canonical_sha256":"a2694aa92df9edcec45b3fe07c1684471556375c6ae695274fd108c5ee5bc512","source":{"kind":"arxiv","id":"1602.01541","version":1},"attestation_state":"computed","paper":{"title":"Fundamental Limits in Multi-image Alignment","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Alberto Bartesaghi, Cecilia Aguerrebere, Guillermo Sapiro, Mauricio Delbracio","submitted_at":"2016-02-04T02:25:52Z","abstract_excerpt":"The performance of multi-image alignment, bringing different images into one coordinate system, is critical in many applications with varied signal-to-noise ratio (SNR) conditions. A great amount of effort is being invested into developing methods to solve this problem. Several important questions thus arise, including: Which are the fundamental limits in multi-image alignment performance? Does having access to more images improve the alignment? Theoretical bounds provide a fundamental benchmark to compare methods and can help establish whether improvements can be made. In this work, we tackle"},"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":"1602.01541","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-02-04T02:25:52Z","cross_cats_sorted":[],"title_canon_sha256":"8b976ffb213d38368182c677d7789c7f715f9f259a2485bda0f25049c2d8ab21","abstract_canon_sha256":"ace272d9934e45561149b3a42c7e9dd3f8bd2c5e86903ec4633821577067f4ce"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:04:13.881927Z","signature_b64":"CROj6bJVcPBSlVdB3t+z7it1shbsUKFUNlTbAKP3zV+L8vIegn+YPXUDiM527rfo+B9BxDkGQiRvEB8knQSzAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a2694aa92df9edcec45b3fe07c1684471556375c6ae695274fd108c5ee5bc512","last_reissued_at":"2026-05-18T01:04:13.881539Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:04:13.881539Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Fundamental Limits in Multi-image Alignment","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Alberto Bartesaghi, Cecilia Aguerrebere, Guillermo Sapiro, Mauricio Delbracio","submitted_at":"2016-02-04T02:25:52Z","abstract_excerpt":"The performance of multi-image alignment, bringing different images into one coordinate system, is critical in many applications with varied signal-to-noise ratio (SNR) conditions. A great amount of effort is being invested into developing methods to solve this problem. Several important questions thus arise, including: Which are the fundamental limits in multi-image alignment performance? Does having access to more images improve the alignment? Theoretical bounds provide a fundamental benchmark to compare methods and can help establish whether improvements can be made. In this work, we tackle"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1602.01541","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":""},"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":"1602.01541","created_at":"2026-05-18T01:04:13.881597+00:00"},{"alias_kind":"arxiv_version","alias_value":"1602.01541v1","created_at":"2026-05-18T01:04:13.881597+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1602.01541","created_at":"2026-05-18T01:04:13.881597+00:00"},{"alias_kind":"pith_short_12","alias_value":"UJUUVKJN7HW4","created_at":"2026-05-18T12:30:46.583412+00:00"},{"alias_kind":"pith_short_16","alias_value":"UJUUVKJN7HW45RC3","created_at":"2026-05-18T12:30:46.583412+00:00"},{"alias_kind":"pith_short_8","alias_value":"UJUUVKJN","created_at":"2026-05-18T12:30:46.583412+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/UJUUVKJN7HW45RC3H7QHYFUEI4","json":"https://pith.science/pith/UJUUVKJN7HW45RC3H7QHYFUEI4.json","graph_json":"https://pith.science/api/pith-number/UJUUVKJN7HW45RC3H7QHYFUEI4/graph.json","events_json":"https://pith.science/api/pith-number/UJUUVKJN7HW45RC3H7QHYFUEI4/events.json","paper":"https://pith.science/paper/UJUUVKJN"},"agent_actions":{"view_html":"https://pith.science/pith/UJUUVKJN7HW45RC3H7QHYFUEI4","download_json":"https://pith.science/pith/UJUUVKJN7HW45RC3H7QHYFUEI4.json","view_paper":"https://pith.science/paper/UJUUVKJN","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1602.01541&json=true","fetch_graph":"https://pith.science/api/pith-number/UJUUVKJN7HW45RC3H7QHYFUEI4/graph.json","fetch_events":"https://pith.science/api/pith-number/UJUUVKJN7HW45RC3H7QHYFUEI4/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/UJUUVKJN7HW45RC3H7QHYFUEI4/action/timestamp_anchor","attest_storage":"https://pith.science/pith/UJUUVKJN7HW45RC3H7QHYFUEI4/action/storage_attestation","attest_author":"https://pith.science/pith/UJUUVKJN7HW45RC3H7QHYFUEI4/action/author_attestation","sign_citation":"https://pith.science/pith/UJUUVKJN7HW45RC3H7QHYFUEI4/action/citation_signature","submit_replication":"https://pith.science/pith/UJUUVKJN7HW45RC3H7QHYFUEI4/action/replication_record"}},"created_at":"2026-05-18T01:04:13.881597+00:00","updated_at":"2026-05-18T01:04:13.881597+00:00"}