{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2016:UXEACJ3EJ3JXNWTBL6G4BIGTRM","short_pith_number":"pith:UXEACJ3E","schema_version":"1.0","canonical_sha256":"a5c80127644ed376da615f8dc0a0d38b3fe10c9905a7d3d0847f1660434a2337","source":{"kind":"arxiv","id":"1605.05670","version":2},"attestation_state":"computed","paper":{"title":"Forecasts for the WFIRST High Latitude Survey using the BlueTides Simulation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.GA","authors_text":"Dacen Waters, Rupert A.C. Croft, Stephen M. Wilkins, Tiziana Di Matteo, Yu Feng","submitted_at":"2016-05-18T17:53:58Z","abstract_excerpt":"We use the BlueTides simulation to predict the properties of the high-$z$ galaxy and active galactic nuclei (AGN) populations for the planned 2200deg$^2$ Wide-Field Infrared Survey Telescope's (WFIRST)-AFTA High Latitude Survey (HLS). BlueTides is a cosmological hydrodynamic simulation, which incorporates a variety of baryon physics in a $(400h^{-1} \\mathrm{Mpc})^3$ volume evolved to $z=8$ with 0.7 trillion particles. The galaxy luminosity functions in the simulation show good agreement with all the current observational constraints (up to $z=11$) and predicts an enhanced number of UV bright g"},"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":"1605.05670","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.GA","submitted_at":"2016-05-18T17:53:58Z","cross_cats_sorted":[],"title_canon_sha256":"4c0b7fab5b9e77a6ff7055f07854b53a8b365e0bccd2ced270ac0a33ad3e8f37","abstract_canon_sha256":"944fab4437ad85f58f1259573738c4f2f9f41959b2a6f9a5dd31580d2b01188d"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:07:16.412705Z","signature_b64":"9jTmWlzgGHqoUekouz+w+6S2sef/SpOlHl7RK+aYatIHuAt9g5IH6nWYLMKxHFNlgPgqiWXX6am4sgQmazZRDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a5c80127644ed376da615f8dc0a0d38b3fe10c9905a7d3d0847f1660434a2337","last_reissued_at":"2026-05-18T01:07:16.412027Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:07:16.412027Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Forecasts for the WFIRST High Latitude Survey using the BlueTides Simulation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.GA","authors_text":"Dacen Waters, Rupert A.C. Croft, Stephen M. Wilkins, Tiziana Di Matteo, Yu Feng","submitted_at":"2016-05-18T17:53:58Z","abstract_excerpt":"We use the BlueTides simulation to predict the properties of the high-$z$ galaxy and active galactic nuclei (AGN) populations for the planned 2200deg$^2$ Wide-Field Infrared Survey Telescope's (WFIRST)-AFTA High Latitude Survey (HLS). BlueTides is a cosmological hydrodynamic simulation, which incorporates a variety of baryon physics in a $(400h^{-1} \\mathrm{Mpc})^3$ volume evolved to $z=8$ with 0.7 trillion particles. The galaxy luminosity functions in the simulation show good agreement with all the current observational constraints (up to $z=11$) and predicts an enhanced number of UV bright g"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1605.05670","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":"1605.05670","created_at":"2026-05-18T01:07:16.412117+00:00"},{"alias_kind":"arxiv_version","alias_value":"1605.05670v2","created_at":"2026-05-18T01:07:16.412117+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1605.05670","created_at":"2026-05-18T01:07:16.412117+00:00"},{"alias_kind":"pith_short_12","alias_value":"UXEACJ3EJ3JX","created_at":"2026-05-18T12:30:46.583412+00:00"},{"alias_kind":"pith_short_16","alias_value":"UXEACJ3EJ3JXNWTB","created_at":"2026-05-18T12:30:46.583412+00:00"},{"alias_kind":"pith_short_8","alias_value":"UXEACJ3E","created_at":"2026-05-18T12:30:46.583412+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/UXEACJ3EJ3JXNWTBL6G4BIGTRM","json":"https://pith.science/pith/UXEACJ3EJ3JXNWTBL6G4BIGTRM.json","graph_json":"https://pith.science/api/pith-number/UXEACJ3EJ3JXNWTBL6G4BIGTRM/graph.json","events_json":"https://pith.science/api/pith-number/UXEACJ3EJ3JXNWTBL6G4BIGTRM/events.json","paper":"https://pith.science/paper/UXEACJ3E"},"agent_actions":{"view_html":"https://pith.science/pith/UXEACJ3EJ3JXNWTBL6G4BIGTRM","download_json":"https://pith.science/pith/UXEACJ3EJ3JXNWTBL6G4BIGTRM.json","view_paper":"https://pith.science/paper/UXEACJ3E","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1605.05670&json=true","fetch_graph":"https://pith.science/api/pith-number/UXEACJ3EJ3JXNWTBL6G4BIGTRM/graph.json","fetch_events":"https://pith.science/api/pith-number/UXEACJ3EJ3JXNWTBL6G4BIGTRM/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/UXEACJ3EJ3JXNWTBL6G4BIGTRM/action/timestamp_anchor","attest_storage":"https://pith.science/pith/UXEACJ3EJ3JXNWTBL6G4BIGTRM/action/storage_attestation","attest_author":"https://pith.science/pith/UXEACJ3EJ3JXNWTBL6G4BIGTRM/action/author_attestation","sign_citation":"https://pith.science/pith/UXEACJ3EJ3JXNWTBL6G4BIGTRM/action/citation_signature","submit_replication":"https://pith.science/pith/UXEACJ3EJ3JXNWTBL6G4BIGTRM/action/replication_record"}},"created_at":"2026-05-18T01:07:16.412117+00:00","updated_at":"2026-05-18T01:07:16.412117+00:00"}