{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:4JKKJO5APFBKDPQJ2LIYCNKE2J","short_pith_number":"pith:4JKKJO5A","schema_version":"1.0","canonical_sha256":"e254a4bba07942a1be09d2d1813544d26135c41e9fdcfd55cb03e5d74ce917b0","source":{"kind":"arxiv","id":"2606.20360","version":1},"attestation_state":"computed","paper":{"title":"Lightstack: A Python Package for Creating Photometric Data Cubes","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.IM","authors_text":"Alberto Krone-Martins, Ana L. Chies-Santos, Andressa Wille, Emille E. O. Ishida, Rafael S. de Souza, Thallis Pessi","submitted_at":"2026-06-18T15:23:19Z","abstract_excerpt":"Multi-band photometry traces diverse physical processes across a wide range of wavelengths. In recent decades, this field has been driven by the rapid growth of multi-imaging datasets, from high-resolution observation from Hubble Space Telescope and James Webb Space Telescope to the forthcoming large-scale surveys enabled by the Roman Space Telescope and Rubin Observatory, for example. In this work, we present lightstack, a Python package for combining standalone images into photometric data cubes. The workflow consists of three main steps: cropping a region of interest from a mosaic across al"},"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":"2606.20360","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"astro-ph.IM","submitted_at":"2026-06-18T15:23:19Z","cross_cats_sorted":[],"title_canon_sha256":"26338576af986b131bd08018627fa3fb3bfef7927829a90a80a73268b49fe306","abstract_canon_sha256":"7b1f5ae23fa4b903275743de2425126a5704b36fe8e1ce3b6fd496270d5c77d2"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-19T16:13:09.834709Z","signature_b64":"gMb3wk1TrcBZWTSnjgN7LtNOL9oz45gRHCvqjNHW0KCfmJbRXLSpJAEkvpzde9Ba/8CVLhLZqOlElgwW5OLBCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e254a4bba07942a1be09d2d1813544d26135c41e9fdcfd55cb03e5d74ce917b0","last_reissued_at":"2026-06-19T16:13:09.834345Z","signature_status":"signed_v1","first_computed_at":"2026-06-19T16:13:09.834345Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Lightstack: A Python Package for Creating Photometric Data Cubes","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.IM","authors_text":"Alberto Krone-Martins, Ana L. Chies-Santos, Andressa Wille, Emille E. O. Ishida, Rafael S. de Souza, Thallis Pessi","submitted_at":"2026-06-18T15:23:19Z","abstract_excerpt":"Multi-band photometry traces diverse physical processes across a wide range of wavelengths. In recent decades, this field has been driven by the rapid growth of multi-imaging datasets, from high-resolution observation from Hubble Space Telescope and James Webb Space Telescope to the forthcoming large-scale surveys enabled by the Roman Space Telescope and Rubin Observatory, for example. In this work, we present lightstack, a Python package for combining standalone images into photometric data cubes. The workflow consists of three main steps: cropping a region of interest from a mosaic across al"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.20360","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/2606.20360/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":"2606.20360","created_at":"2026-06-19T16:13:09.834399+00:00"},{"alias_kind":"arxiv_version","alias_value":"2606.20360v1","created_at":"2026-06-19T16:13:09.834399+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.20360","created_at":"2026-06-19T16:13:09.834399+00:00"},{"alias_kind":"pith_short_12","alias_value":"4JKKJO5APFBK","created_at":"2026-06-19T16:13:09.834399+00:00"},{"alias_kind":"pith_short_16","alias_value":"4JKKJO5APFBKDPQJ","created_at":"2026-06-19T16:13:09.834399+00:00"},{"alias_kind":"pith_short_8","alias_value":"4JKKJO5A","created_at":"2026-06-19T16:13:09.834399+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/4JKKJO5APFBKDPQJ2LIYCNKE2J","json":"https://pith.science/pith/4JKKJO5APFBKDPQJ2LIYCNKE2J.json","graph_json":"https://pith.science/api/pith-number/4JKKJO5APFBKDPQJ2LIYCNKE2J/graph.json","events_json":"https://pith.science/api/pith-number/4JKKJO5APFBKDPQJ2LIYCNKE2J/events.json","paper":"https://pith.science/paper/4JKKJO5A"},"agent_actions":{"view_html":"https://pith.science/pith/4JKKJO5APFBKDPQJ2LIYCNKE2J","download_json":"https://pith.science/pith/4JKKJO5APFBKDPQJ2LIYCNKE2J.json","view_paper":"https://pith.science/paper/4JKKJO5A","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2606.20360&json=true","fetch_graph":"https://pith.science/api/pith-number/4JKKJO5APFBKDPQJ2LIYCNKE2J/graph.json","fetch_events":"https://pith.science/api/pith-number/4JKKJO5APFBKDPQJ2LIYCNKE2J/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/4JKKJO5APFBKDPQJ2LIYCNKE2J/action/timestamp_anchor","attest_storage":"https://pith.science/pith/4JKKJO5APFBKDPQJ2LIYCNKE2J/action/storage_attestation","attest_author":"https://pith.science/pith/4JKKJO5APFBKDPQJ2LIYCNKE2J/action/author_attestation","sign_citation":"https://pith.science/pith/4JKKJO5APFBKDPQJ2LIYCNKE2J/action/citation_signature","submit_replication":"https://pith.science/pith/4JKKJO5APFBKDPQJ2LIYCNKE2J/action/replication_record"}},"created_at":"2026-06-19T16:13:09.834399+00:00","updated_at":"2026-06-19T16:13:09.834399+00:00"}