{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2016:NRK6VB3LSDSROOF7QSWB5WJI7Z","short_pith_number":"pith:NRK6VB3L","schema_version":"1.0","canonical_sha256":"6c55ea876b90e51738bf84ac1ed928fe5643ae473cb9876516ee1728b7f17fbd","source":{"kind":"arxiv","id":"1606.01903","version":2},"attestation_state":"computed","paper":{"title":"Mocking the Weak Lensing universe: the LensTools python computing package","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["astro-ph.IM"],"primary_cat":"astro-ph.CO","authors_text":"Andrea Petri (Columbia, BNL)","submitted_at":"2016-06-06T20:00:10Z","abstract_excerpt":"We present a newly developed software package which implements a wide range of routines frequently used in Weak Gravitational Lensing (WL). With the continuously increasing size of the WL scientific community we feel that easy to use Application Program Interfaces (APIs) for common calculations are a necessity to ensure efficiency and coordination across different working groups. Coupled with existing open source codes, such as CAMB and Gadget2, LensTools brings together a cosmic shear simulation pipeline which, complemented with a variety of WL feature measurement tools and parameter sampling"},"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":"1606.01903","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.CO","submitted_at":"2016-06-06T20:00:10Z","cross_cats_sorted":["astro-ph.IM"],"title_canon_sha256":"6aa3f4bd53921a0ea51f25cee74ddd5064c9f67bbacefe8086d4524118a8276f","abstract_canon_sha256":"ddcb4790528a1dca614a9cfcbbf2bc7f32c7e77fc8b2e71054ae687da92c1a1d"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:58:04.064067Z","signature_b64":"8XIBAZJZDriOwhbW0zvOW3/yKWUH2zgGZWxn9fZYvCxrm/Izrrh3h11u60ZaTp4ehiu05Olwd95BfmIPxwMaAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6c55ea876b90e51738bf84ac1ed928fe5643ae473cb9876516ee1728b7f17fbd","last_reissued_at":"2026-05-18T00:58:04.063506Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:58:04.063506Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Mocking the Weak Lensing universe: the LensTools python computing package","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["astro-ph.IM"],"primary_cat":"astro-ph.CO","authors_text":"Andrea Petri (Columbia, BNL)","submitted_at":"2016-06-06T20:00:10Z","abstract_excerpt":"We present a newly developed software package which implements a wide range of routines frequently used in Weak Gravitational Lensing (WL). With the continuously increasing size of the WL scientific community we feel that easy to use Application Program Interfaces (APIs) for common calculations are a necessity to ensure efficiency and coordination across different working groups. Coupled with existing open source codes, such as CAMB and Gadget2, LensTools brings together a cosmic shear simulation pipeline which, complemented with a variety of WL feature measurement tools and parameter sampling"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1606.01903","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":""},"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":"1606.01903","created_at":"2026-05-18T00:58:04.063588+00:00"},{"alias_kind":"arxiv_version","alias_value":"1606.01903v2","created_at":"2026-05-18T00:58:04.063588+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1606.01903","created_at":"2026-05-18T00:58:04.063588+00:00"},{"alias_kind":"pith_short_12","alias_value":"NRK6VB3LSDSR","created_at":"2026-05-18T12:30:36.002864+00:00"},{"alias_kind":"pith_short_16","alias_value":"NRK6VB3LSDSROOF7","created_at":"2026-05-18T12:30:36.002864+00:00"},{"alias_kind":"pith_short_8","alias_value":"NRK6VB3L","created_at":"2026-05-18T12:30:36.002864+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":0,"sample":[{"citing_arxiv_id":"2604.14451","citing_title":"FAIR Universe Weak Lensing ML Uncertainty Challenge: Handling Uncertainties and Distribution Shifts for Precision Cosmology","ref_index":33,"is_internal_anchor":false}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/NRK6VB3LSDSROOF7QSWB5WJI7Z","json":"https://pith.science/pith/NRK6VB3LSDSROOF7QSWB5WJI7Z.json","graph_json":"https://pith.science/api/pith-number/NRK6VB3LSDSROOF7QSWB5WJI7Z/graph.json","events_json":"https://pith.science/api/pith-number/NRK6VB3LSDSROOF7QSWB5WJI7Z/events.json","paper":"https://pith.science/paper/NRK6VB3L"},"agent_actions":{"view_html":"https://pith.science/pith/NRK6VB3LSDSROOF7QSWB5WJI7Z","download_json":"https://pith.science/pith/NRK6VB3LSDSROOF7QSWB5WJI7Z.json","view_paper":"https://pith.science/paper/NRK6VB3L","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1606.01903&json=true","fetch_graph":"https://pith.science/api/pith-number/NRK6VB3LSDSROOF7QSWB5WJI7Z/graph.json","fetch_events":"https://pith.science/api/pith-number/NRK6VB3LSDSROOF7QSWB5WJI7Z/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/NRK6VB3LSDSROOF7QSWB5WJI7Z/action/timestamp_anchor","attest_storage":"https://pith.science/pith/NRK6VB3LSDSROOF7QSWB5WJI7Z/action/storage_attestation","attest_author":"https://pith.science/pith/NRK6VB3LSDSROOF7QSWB5WJI7Z/action/author_attestation","sign_citation":"https://pith.science/pith/NRK6VB3LSDSROOF7QSWB5WJI7Z/action/citation_signature","submit_replication":"https://pith.science/pith/NRK6VB3LSDSROOF7QSWB5WJI7Z/action/replication_record"}},"created_at":"2026-05-18T00:58:04.063588+00:00","updated_at":"2026-05-18T00:58:04.063588+00:00"}