{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:JQP73RKQWIXGJFKJDLOTPZ3A3E","short_pith_number":"pith:JQP73RKQ","schema_version":"1.0","canonical_sha256":"4c1ffdc550b22e6495491add37e760d937e98f0da5ef8692150e8de991758e03","source":{"kind":"arxiv","id":"2307.09468","version":2},"attestation_state":"computed","paper":{"title":"Making the leap I: Modelling the reconstructed lensing convergence PDF from cosmic shear with survey masks and systematics","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.CO","authors_text":"Alexandre Barthelemy, Anik Halder, Cora Uhlemann, Zhengyangguang Gong","submitted_at":"2023-07-18T17:53:59Z","abstract_excerpt":"The last few years have seen the development of a promising theoretical framework for statistics of the cosmic large-scale structure -- the theory of large deviations (LDT) for modelling weak-lensing one-point statistics in the mildly non-linear regime. The goal of this series of papers is to make the leap and lay out the steps to perform an actual data analysis with this theoretical tool. Building upon the LDT framework, in this work (Paper I) we demonstrate how to accurately model the Probability Distribution Function (PDF) of a reconstructed Kaiser-Squires convergence field under a realisti"},"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":"2307.09468","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"astro-ph.CO","submitted_at":"2023-07-18T17:53:59Z","cross_cats_sorted":[],"title_canon_sha256":"12cebfde49a25fe4e38ac10cd4ed470dbfef24df95713d30249b1f0c5b5a67b2","abstract_canon_sha256":"bb573d2fade9a19a40a4ef0059f59578a7753a149a8c8f5e21e0af49ee3011dc"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:32:57.632463Z","signature_b64":"44cGoLWxbATadze9WCze3C0xGxcdVVQIrWV9Hk2Ib+0egFViyqawyewz5GvSahU7B3bvjDo76euprRXB8VqbCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4c1ffdc550b22e6495491add37e760d937e98f0da5ef8692150e8de991758e03","last_reissued_at":"2026-07-05T07:32:57.632039Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:32:57.632039Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Making the leap I: Modelling the reconstructed lensing convergence PDF from cosmic shear with survey masks and systematics","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.CO","authors_text":"Alexandre Barthelemy, Anik Halder, Cora Uhlemann, Zhengyangguang Gong","submitted_at":"2023-07-18T17:53:59Z","abstract_excerpt":"The last few years have seen the development of a promising theoretical framework for statistics of the cosmic large-scale structure -- the theory of large deviations (LDT) for modelling weak-lensing one-point statistics in the mildly non-linear regime. The goal of this series of papers is to make the leap and lay out the steps to perform an actual data analysis with this theoretical tool. Building upon the LDT framework, in this work (Paper I) we demonstrate how to accurately model the Probability Distribution Function (PDF) of a reconstructed Kaiser-Squires convergence field under a realisti"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2307.09468","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/2307.09468/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":"2307.09468","created_at":"2026-07-05T07:32:57.632094+00:00"},{"alias_kind":"arxiv_version","alias_value":"2307.09468v2","created_at":"2026-07-05T07:32:57.632094+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2307.09468","created_at":"2026-07-05T07:32:57.632094+00:00"},{"alias_kind":"pith_short_12","alias_value":"JQP73RKQWIXG","created_at":"2026-07-05T07:32:57.632094+00:00"},{"alias_kind":"pith_short_16","alias_value":"JQP73RKQWIXGJFKJ","created_at":"2026-07-05T07:32:57.632094+00:00"},{"alias_kind":"pith_short_8","alias_value":"JQP73RKQ","created_at":"2026-07-05T07:32:57.632094+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2607.24939","citing_title":"Primordial Physics in the Nonlinear Universe: Revealing the oscillating halo bias from cosmological collider models","ref_index":125,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/JQP73RKQWIXGJFKJDLOTPZ3A3E","json":"https://pith.science/pith/JQP73RKQWIXGJFKJDLOTPZ3A3E.json","graph_json":"https://pith.science/api/pith-number/JQP73RKQWIXGJFKJDLOTPZ3A3E/graph.json","events_json":"https://pith.science/api/pith-number/JQP73RKQWIXGJFKJDLOTPZ3A3E/events.json","paper":"https://pith.science/paper/JQP73RKQ"},"agent_actions":{"view_html":"https://pith.science/pith/JQP73RKQWIXGJFKJDLOTPZ3A3E","download_json":"https://pith.science/pith/JQP73RKQWIXGJFKJDLOTPZ3A3E.json","view_paper":"https://pith.science/paper/JQP73RKQ","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2307.09468&json=true","fetch_graph":"https://pith.science/api/pith-number/JQP73RKQWIXGJFKJDLOTPZ3A3E/graph.json","fetch_events":"https://pith.science/api/pith-number/JQP73RKQWIXGJFKJDLOTPZ3A3E/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/JQP73RKQWIXGJFKJDLOTPZ3A3E/action/timestamp_anchor","attest_storage":"https://pith.science/pith/JQP73RKQWIXGJFKJDLOTPZ3A3E/action/storage_attestation","attest_author":"https://pith.science/pith/JQP73RKQWIXGJFKJDLOTPZ3A3E/action/author_attestation","sign_citation":"https://pith.science/pith/JQP73RKQWIXGJFKJDLOTPZ3A3E/action/citation_signature","submit_replication":"https://pith.science/pith/JQP73RKQWIXGJFKJDLOTPZ3A3E/action/replication_record"}},"created_at":"2026-07-05T07:32:57.632094+00:00","updated_at":"2026-07-05T07:32:57.632094+00:00"}