{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2021:YJSAINM4S7TY5FIBRZLAZ6BGS3","short_pith_number":"pith:YJSAINM4","schema_version":"1.0","canonical_sha256":"c26404359c97e78e95018e560cf82696fc568b27a87788ae775f48576f4fa130","source":{"kind":"arxiv","id":"2109.10915","version":1},"attestation_state":"computed","paper":{"title":"The CAMELS Multifield Dataset: Learning the Universe's Fundamental Parameters with Artificial Intelligence","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["astro-ph.CO","astro-ph.GA","astro-ph.IM","cs.CV"],"primary_cat":"cs.LG","authors_text":"Andrina Nicola, Benjamin Wandelt, Daisuke Nagai, Daniel Angles-Alcazar, David N. Spergel, Desika Narayanan, Digvijay Wadekar, Emily Moser, Erwin T. Lau, Faizan G. Mohammad, Francisco Villaescusa-Navarro, Gabriella Contardo, Helen Shao, Jose Manuel Zorrilla Matilla, Kaze W.K. Wong, Leander Thiele, Lucia A. Perez, Luis Fernando Machado Poletti Valle, Mark Vogelsberger, Michael Eickenberg, Nicholas Battaglia, Pablo Villanueva-Domingo, Rachel S. Somerville, Romeel Dave, Shy Genel, Sultan Hassan, Yin Li, Yongseok Jo","submitted_at":"2021-09-22T18:00:01Z","abstract_excerpt":"We present the Cosmology and Astrophysics with MachinE Learning Simulations (CAMELS) Multifield Dataset, CMD, a collection of hundreds of thousands of 2D maps and 3D grids containing many different properties of cosmic gas, dark matter, and stars from 2,000 distinct simulated universes at several cosmic times. The 2D maps and 3D grids represent cosmic regions that span $\\sim$100 million light years and have been generated from thousands of state-of-the-art hydrodynamic and gravity-only N-body simulations from the CAMELS project. Designed to train machine learning models, CMD is the largest dat"},"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":"2109.10915","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-09-22T18:00:01Z","cross_cats_sorted":["astro-ph.CO","astro-ph.GA","astro-ph.IM","cs.CV"],"title_canon_sha256":"f684e3c7879f03da29d4d9d913d890bfb09b73c70c48971bbac04705c107d86a","abstract_canon_sha256":"58ed777344ee3546438b251be283688a3b609824fd27b7cce14aa3cd136a33af"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:13:43.076861Z","signature_b64":"iMV6uKIEvm2znuJ8vD7HAZfylAo7foAlRTbWsNtTeW8MNwKcy8m/l4iWER8dwpy0Vet7U/8vPSFWvkhi5x/YDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c26404359c97e78e95018e560cf82696fc568b27a87788ae775f48576f4fa130","last_reissued_at":"2026-07-05T04:13:43.076379Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:13:43.076379Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"The CAMELS Multifield Dataset: Learning the Universe's Fundamental Parameters with Artificial Intelligence","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["astro-ph.CO","astro-ph.GA","astro-ph.IM","cs.CV"],"primary_cat":"cs.LG","authors_text":"Andrina Nicola, Benjamin Wandelt, Daisuke Nagai, Daniel Angles-Alcazar, David N. Spergel, Desika Narayanan, Digvijay Wadekar, Emily Moser, Erwin T. Lau, Faizan G. Mohammad, Francisco Villaescusa-Navarro, Gabriella Contardo, Helen Shao, Jose Manuel Zorrilla Matilla, Kaze W.K. Wong, Leander Thiele, Lucia A. Perez, Luis Fernando Machado Poletti Valle, Mark Vogelsberger, Michael Eickenberg, Nicholas Battaglia, Pablo Villanueva-Domingo, Rachel S. Somerville, Romeel Dave, Shy Genel, Sultan Hassan, Yin Li, Yongseok Jo","submitted_at":"2021-09-22T18:00:01Z","abstract_excerpt":"We present the Cosmology and Astrophysics with MachinE Learning Simulations (CAMELS) Multifield Dataset, CMD, a collection of hundreds of thousands of 2D maps and 3D grids containing many different properties of cosmic gas, dark matter, and stars from 2,000 distinct simulated universes at several cosmic times. The 2D maps and 3D grids represent cosmic regions that span $\\sim$100 million light years and have been generated from thousands of state-of-the-art hydrodynamic and gravity-only N-body simulations from the CAMELS project. Designed to train machine learning models, CMD is the largest dat"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2109.10915","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/2109.10915/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":"2109.10915","created_at":"2026-07-05T04:13:43.076438+00:00"},{"alias_kind":"arxiv_version","alias_value":"2109.10915v1","created_at":"2026-07-05T04:13:43.076438+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2109.10915","created_at":"2026-07-05T04:13:43.076438+00:00"},{"alias_kind":"pith_short_12","alias_value":"YJSAINM4S7TY","created_at":"2026-07-05T04:13:43.076438+00:00"},{"alias_kind":"pith_short_16","alias_value":"YJSAINM4S7TY5FIB","created_at":"2026-07-05T04:13:43.076438+00:00"},{"alias_kind":"pith_short_8","alias_value":"YJSAINM4","created_at":"2026-07-05T04:13:43.076438+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":0,"sample":[{"citing_arxiv_id":"2605.26210","citing_title":"Field-level multi-tracers simulation-based inference of cosmological parameters from 3D maps","ref_index":118,"is_internal_anchor":false}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/YJSAINM4S7TY5FIBRZLAZ6BGS3","json":"https://pith.science/pith/YJSAINM4S7TY5FIBRZLAZ6BGS3.json","graph_json":"https://pith.science/api/pith-number/YJSAINM4S7TY5FIBRZLAZ6BGS3/graph.json","events_json":"https://pith.science/api/pith-number/YJSAINM4S7TY5FIBRZLAZ6BGS3/events.json","paper":"https://pith.science/paper/YJSAINM4"},"agent_actions":{"view_html":"https://pith.science/pith/YJSAINM4S7TY5FIBRZLAZ6BGS3","download_json":"https://pith.science/pith/YJSAINM4S7TY5FIBRZLAZ6BGS3.json","view_paper":"https://pith.science/paper/YJSAINM4","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2109.10915&json=true","fetch_graph":"https://pith.science/api/pith-number/YJSAINM4S7TY5FIBRZLAZ6BGS3/graph.json","fetch_events":"https://pith.science/api/pith-number/YJSAINM4S7TY5FIBRZLAZ6BGS3/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/YJSAINM4S7TY5FIBRZLAZ6BGS3/action/timestamp_anchor","attest_storage":"https://pith.science/pith/YJSAINM4S7TY5FIBRZLAZ6BGS3/action/storage_attestation","attest_author":"https://pith.science/pith/YJSAINM4S7TY5FIBRZLAZ6BGS3/action/author_attestation","sign_citation":"https://pith.science/pith/YJSAINM4S7TY5FIBRZLAZ6BGS3/action/citation_signature","submit_replication":"https://pith.science/pith/YJSAINM4S7TY5FIBRZLAZ6BGS3/action/replication_record"}},"created_at":"2026-07-05T04:13:43.076438+00:00","updated_at":"2026-07-05T04:13:43.076438+00:00"}