{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2014:7X7TDFABJW52XIO52EAXDTHAGO","short_pith_number":"pith:7X7TDFAB","schema_version":"1.0","canonical_sha256":"fdff3194014dbbaba1ddd10171cce033bd346a5f53dd7ce4c7e283a848663e55","source":{"kind":"arxiv","id":"1406.1191","version":2},"attestation_state":"computed","paper":{"title":"VIDE: The Void IDentification and Examination toolkit","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.CO","authors_text":"Alice Pisani, Benjamin B. Thompson, Benjamin D. Wandelt, Francisco Villaescusa-Navarro, Guilhem Lavaux, Michael S. Warren, Nico Hamaus, Paul Zivick, P. M. Sutter, Qingqing Mao","submitted_at":"2014-06-04T20:00:43Z","abstract_excerpt":"We present VIDE, the Void IDentification and Examination toolkit, an open-source Python/C++ code for finding cosmic voids in galaxy redshift surveys and N-body simulations, characterizing their properties, and providing a platform for more detailed analysis. At its core, VIDE uses a substantially enhanced version of ZOBOV (Neyinck 2008) to calculate a Voronoi tessellation for estimating the density field and a performing a watershed transform to construct voids. Additionally, VIDE provides significant functionality for both pre- and post-processing: for example, vide can work with volume- or m"},"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":"1406.1191","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.CO","submitted_at":"2014-06-04T20:00:43Z","cross_cats_sorted":[],"title_canon_sha256":"ccdd9310023467541dd30acb3d2ff52387fbb7c81cee124f05268f88aab6aab9","abstract_canon_sha256":"302591fe8f9f69beb52456a48e3e659a1760bad02de0b9f87968772f57f221ab"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:39:55.484860Z","signature_b64":"HI7xAtrSY3h1nHP0shAGsFj4kBnh2+I12vv4dygqX744gEQSZ9p/Jfvro311yHycuM/K3nE+Q9FTwoPDrXrjAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"fdff3194014dbbaba1ddd10171cce033bd346a5f53dd7ce4c7e283a848663e55","last_reissued_at":"2026-05-18T02:39:55.484425Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:39:55.484425Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"VIDE: The Void IDentification and Examination toolkit","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.CO","authors_text":"Alice Pisani, Benjamin B. Thompson, Benjamin D. Wandelt, Francisco Villaescusa-Navarro, Guilhem Lavaux, Michael S. Warren, Nico Hamaus, Paul Zivick, P. M. Sutter, Qingqing Mao","submitted_at":"2014-06-04T20:00:43Z","abstract_excerpt":"We present VIDE, the Void IDentification and Examination toolkit, an open-source Python/C++ code for finding cosmic voids in galaxy redshift surveys and N-body simulations, characterizing their properties, and providing a platform for more detailed analysis. At its core, VIDE uses a substantially enhanced version of ZOBOV (Neyinck 2008) to calculate a Voronoi tessellation for estimating the density field and a performing a watershed transform to construct voids. Additionally, VIDE provides significant functionality for both pre- and post-processing: for example, vide can work with volume- or m"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1406.1191","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":"1406.1191","created_at":"2026-05-18T02:39:55.484491+00:00"},{"alias_kind":"arxiv_version","alias_value":"1406.1191v2","created_at":"2026-05-18T02:39:55.484491+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1406.1191","created_at":"2026-05-18T02:39:55.484491+00:00"},{"alias_kind":"pith_short_12","alias_value":"7X7TDFABJW52","created_at":"2026-05-18T12:28:19.803747+00:00"},{"alias_kind":"pith_short_16","alias_value":"7X7TDFABJW52XIO5","created_at":"2026-05-18T12:28:19.803747+00:00"},{"alias_kind":"pith_short_8","alias_value":"7X7TDFAB","created_at":"2026-05-18T12:28:19.803747+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/7X7TDFABJW52XIO52EAXDTHAGO","json":"https://pith.science/pith/7X7TDFABJW52XIO52EAXDTHAGO.json","graph_json":"https://pith.science/api/pith-number/7X7TDFABJW52XIO52EAXDTHAGO/graph.json","events_json":"https://pith.science/api/pith-number/7X7TDFABJW52XIO52EAXDTHAGO/events.json","paper":"https://pith.science/paper/7X7TDFAB"},"agent_actions":{"view_html":"https://pith.science/pith/7X7TDFABJW52XIO52EAXDTHAGO","download_json":"https://pith.science/pith/7X7TDFABJW52XIO52EAXDTHAGO.json","view_paper":"https://pith.science/paper/7X7TDFAB","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1406.1191&json=true","fetch_graph":"https://pith.science/api/pith-number/7X7TDFABJW52XIO52EAXDTHAGO/graph.json","fetch_events":"https://pith.science/api/pith-number/7X7TDFABJW52XIO52EAXDTHAGO/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/7X7TDFABJW52XIO52EAXDTHAGO/action/timestamp_anchor","attest_storage":"https://pith.science/pith/7X7TDFABJW52XIO52EAXDTHAGO/action/storage_attestation","attest_author":"https://pith.science/pith/7X7TDFABJW52XIO52EAXDTHAGO/action/author_attestation","sign_citation":"https://pith.science/pith/7X7TDFABJW52XIO52EAXDTHAGO/action/citation_signature","submit_replication":"https://pith.science/pith/7X7TDFABJW52XIO52EAXDTHAGO/action/replication_record"}},"created_at":"2026-05-18T02:39:55.484491+00:00","updated_at":"2026-05-18T02:39:55.484491+00:00"}