{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:VWF7WXGJPVNWHJAFX7ZXOJC6VP","short_pith_number":"pith:VWF7WXGJ","schema_version":"1.0","canonical_sha256":"ad8bfb5cc97d5b63a405bff377245eabf807fc880bac49e91a1420914108ef3d","source":{"kind":"arxiv","id":"2605.18655","version":1},"attestation_state":"computed","paper":{"title":"Self-Supervised Conformal Prediction with Equivariant Bootstrapping for Image Uncertainty Quantification","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["astro-ph.IM"],"primary_cat":"stat.ME","authors_text":"Henry J. Aldridge, Jason D. McEwen, Marcelo Pereyra, Tob\\'ias I. Liaudat","submitted_at":"2026-05-18T17:00:40Z","abstract_excerpt":"Inverse problems are ubiquitous in modern scientific studies and involve recovering an underlying signal from noisy observations often transformed by a measurement operator. These problems are frequently ill-posed, particularly in imaging, leading to multiple plausible solutions and considerable uncertainty in reconstructed images. In fields like the physical and biological sciences, accurate uncertainty quantification (UQ) is critical for trustworthy scientific analyses and confident diagnoses. Current UQ methods for imaging often fall short; they can be inaccurate, or require unavailable or "},"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":"2605.18655","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ME","submitted_at":"2026-05-18T17:00:40Z","cross_cats_sorted":["astro-ph.IM"],"title_canon_sha256":"f5355fa8acdde1813285982e2b037746517c389c90a2a88effe6c247f2fcfa0f","abstract_canon_sha256":"5f277bfff6bd047da331907472b8d765327b5aeefe074f402b1de1f34cd79211"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-20T00:06:13.056299Z","signature_b64":"JIAF3RywU5ayzX3Ef7EFerj6uT6sc16dRqEQPqhCnfRhhKznEVhrBxjW25uXDabdooupVT4nsUWrueYrwL/uDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ad8bfb5cc97d5b63a405bff377245eabf807fc880bac49e91a1420914108ef3d","last_reissued_at":"2026-05-20T00:06:13.055556Z","signature_status":"signed_v1","first_computed_at":"2026-05-20T00:06:13.055556Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Self-Supervised Conformal Prediction with Equivariant Bootstrapping for Image Uncertainty Quantification","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["astro-ph.IM"],"primary_cat":"stat.ME","authors_text":"Henry J. Aldridge, Jason D. McEwen, Marcelo Pereyra, Tob\\'ias I. Liaudat","submitted_at":"2026-05-18T17:00:40Z","abstract_excerpt":"Inverse problems are ubiquitous in modern scientific studies and involve recovering an underlying signal from noisy observations often transformed by a measurement operator. These problems are frequently ill-posed, particularly in imaging, leading to multiple plausible solutions and considerable uncertainty in reconstructed images. In fields like the physical and biological sciences, accurate uncertainty quantification (UQ) is critical for trustworthy scientific analyses and confident diagnoses. Current UQ methods for imaging often fall short; they can be inaccurate, or require unavailable or "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.18655","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/2605.18655/integrity.json","findings":[],"available":true,"detectors_run":[{"name":"claim_evidence","ran_at":"2026-05-20T00:01:59.161162Z","status":"completed","version":"1.0.0","findings_count":0}],"snapshot_sha256":"57e5ba7d6729e8f5685de44e000b3d023342284241b7da62b84c377461cba419"},"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":"2605.18655","created_at":"2026-05-20T00:06:13.055670+00:00"},{"alias_kind":"arxiv_version","alias_value":"2605.18655v1","created_at":"2026-05-20T00:06:13.055670+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.18655","created_at":"2026-05-20T00:06:13.055670+00:00"},{"alias_kind":"pith_short_12","alias_value":"VWF7WXGJPVNW","created_at":"2026-05-20T00:06:13.055670+00:00"},{"alias_kind":"pith_short_16","alias_value":"VWF7WXGJPVNWHJAF","created_at":"2026-05-20T00:06:13.055670+00:00"},{"alias_kind":"pith_short_8","alias_value":"VWF7WXGJ","created_at":"2026-05-20T00:06:13.055670+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/VWF7WXGJPVNWHJAFX7ZXOJC6VP","json":"https://pith.science/pith/VWF7WXGJPVNWHJAFX7ZXOJC6VP.json","graph_json":"https://pith.science/api/pith-number/VWF7WXGJPVNWHJAFX7ZXOJC6VP/graph.json","events_json":"https://pith.science/api/pith-number/VWF7WXGJPVNWHJAFX7ZXOJC6VP/events.json","paper":"https://pith.science/paper/VWF7WXGJ"},"agent_actions":{"view_html":"https://pith.science/pith/VWF7WXGJPVNWHJAFX7ZXOJC6VP","download_json":"https://pith.science/pith/VWF7WXGJPVNWHJAFX7ZXOJC6VP.json","view_paper":"https://pith.science/paper/VWF7WXGJ","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2605.18655&json=true","fetch_graph":"https://pith.science/api/pith-number/VWF7WXGJPVNWHJAFX7ZXOJC6VP/graph.json","fetch_events":"https://pith.science/api/pith-number/VWF7WXGJPVNWHJAFX7ZXOJC6VP/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/VWF7WXGJPVNWHJAFX7ZXOJC6VP/action/timestamp_anchor","attest_storage":"https://pith.science/pith/VWF7WXGJPVNWHJAFX7ZXOJC6VP/action/storage_attestation","attest_author":"https://pith.science/pith/VWF7WXGJPVNWHJAFX7ZXOJC6VP/action/author_attestation","sign_citation":"https://pith.science/pith/VWF7WXGJPVNWHJAFX7ZXOJC6VP/action/citation_signature","submit_replication":"https://pith.science/pith/VWF7WXGJPVNWHJAFX7ZXOJC6VP/action/replication_record"}},"created_at":"2026-05-20T00:06:13.055670+00:00","updated_at":"2026-05-20T00:06:13.055670+00:00"}