{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:NHG2FDIYZS5MDNB4NVXATU6FNZ","short_pith_number":"pith:NHG2FDIY","schema_version":"1.0","canonical_sha256":"69cda28d18ccbac1b43c6d6e09d3c56e653c487330e3b8ce650183fc958f455f","source":{"kind":"arxiv","id":"2505.13620","version":2},"attestation_state":"computed","paper":{"title":"Field-Level Comparison and Robustness Analysis of Cosmological N-body Simulations","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.CO","authors_text":"Adrian E. Bayer, Eli Visbal, Francisco Villaescusa-Navarro, Greg L. Bryan, Laurence Perreault-Levasseur, Lehman H. Garrison, Marco Gatti, Romain Teyssier, Sammy Sharief","submitted_at":"2025-05-19T18:02:44Z","abstract_excerpt":"We present the first field-level comparison of cosmological N-body simulations, considering various widely used codes: Abacus, CUBEP$^3$M, Enzo, Gadget, Gizmo, PKDGrav, and Ramses. Unlike previous comparisons focused on summary statistics, we conduct a comprehensive field-level analysis: evaluating statistical similarity, quantifying implications for cosmological parameter inference, and identifying the regimes in which simulations are consistent. We begin with a traditional comparison using the power spectrum, cross-correlation coefficient, and visual inspection of the matter field. We follow"},"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":"2505.13620","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.CO","submitted_at":"2025-05-19T18:02:44Z","cross_cats_sorted":[],"title_canon_sha256":"5eb22a3a75ac6c9c25f40234f7f6aa72442598e2942288efa003f6d7606b809e","abstract_canon_sha256":"8b7f4a2f7a514f6500caf97bf97a1a193b9ff95bb8b49b435b7ad487a2a37c9d"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:55:40.019812Z","signature_b64":"a3dwJOdxg8XLR6KZhFaaDlfNR/I455rsyvrAXjO/e9Gjn9PXAK3AUynnXmNUP/AMnpuOYTFNlyFdoCVh+8PjDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"69cda28d18ccbac1b43c6d6e09d3c56e653c487330e3b8ce650183fc958f455f","last_reissued_at":"2026-07-05T11:55:40.019326Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:55:40.019326Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Field-Level Comparison and Robustness Analysis of Cosmological N-body Simulations","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.CO","authors_text":"Adrian E. Bayer, Eli Visbal, Francisco Villaescusa-Navarro, Greg L. Bryan, Laurence Perreault-Levasseur, Lehman H. Garrison, Marco Gatti, Romain Teyssier, Sammy Sharief","submitted_at":"2025-05-19T18:02:44Z","abstract_excerpt":"We present the first field-level comparison of cosmological N-body simulations, considering various widely used codes: Abacus, CUBEP$^3$M, Enzo, Gadget, Gizmo, PKDGrav, and Ramses. Unlike previous comparisons focused on summary statistics, we conduct a comprehensive field-level analysis: evaluating statistical similarity, quantifying implications for cosmological parameter inference, and identifying the regimes in which simulations are consistent. We begin with a traditional comparison using the power spectrum, cross-correlation coefficient, and visual inspection of the matter field. We follow"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.13620","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/2505.13620/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":"2505.13620","created_at":"2026-07-05T11:55:40.019385+00:00"},{"alias_kind":"arxiv_version","alias_value":"2505.13620v2","created_at":"2026-07-05T11:55:40.019385+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.13620","created_at":"2026-07-05T11:55:40.019385+00:00"},{"alias_kind":"pith_short_12","alias_value":"NHG2FDIYZS5M","created_at":"2026-07-05T11:55:40.019385+00:00"},{"alias_kind":"pith_short_16","alias_value":"NHG2FDIYZS5MDNB4","created_at":"2026-07-05T11:55:40.019385+00:00"},{"alias_kind":"pith_short_8","alias_value":"NHG2FDIY","created_at":"2026-07-05T11:55:40.019385+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2507.03086","citing_title":"Mitigating Model Misspecification in Simulation-Based Inference for Galaxy Clustering","ref_index":43,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/NHG2FDIYZS5MDNB4NVXATU6FNZ","json":"https://pith.science/pith/NHG2FDIYZS5MDNB4NVXATU6FNZ.json","graph_json":"https://pith.science/api/pith-number/NHG2FDIYZS5MDNB4NVXATU6FNZ/graph.json","events_json":"https://pith.science/api/pith-number/NHG2FDIYZS5MDNB4NVXATU6FNZ/events.json","paper":"https://pith.science/paper/NHG2FDIY"},"agent_actions":{"view_html":"https://pith.science/pith/NHG2FDIYZS5MDNB4NVXATU6FNZ","download_json":"https://pith.science/pith/NHG2FDIYZS5MDNB4NVXATU6FNZ.json","view_paper":"https://pith.science/paper/NHG2FDIY","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2505.13620&json=true","fetch_graph":"https://pith.science/api/pith-number/NHG2FDIYZS5MDNB4NVXATU6FNZ/graph.json","fetch_events":"https://pith.science/api/pith-number/NHG2FDIYZS5MDNB4NVXATU6FNZ/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/NHG2FDIYZS5MDNB4NVXATU6FNZ/action/timestamp_anchor","attest_storage":"https://pith.science/pith/NHG2FDIYZS5MDNB4NVXATU6FNZ/action/storage_attestation","attest_author":"https://pith.science/pith/NHG2FDIYZS5MDNB4NVXATU6FNZ/action/author_attestation","sign_citation":"https://pith.science/pith/NHG2FDIYZS5MDNB4NVXATU6FNZ/action/citation_signature","submit_replication":"https://pith.science/pith/NHG2FDIYZS5MDNB4NVXATU6FNZ/action/replication_record"}},"created_at":"2026-07-05T11:55:40.019385+00:00","updated_at":"2026-07-05T11:55:40.019385+00:00"}