{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:L6ZMD55SIZ6S27CS6VTZQEXO2W","short_pith_number":"pith:L6ZMD55S","schema_version":"1.0","canonical_sha256":"5fb2c1f7b2467d2d7c52f5679812eed583e3f00d132de447eeedcc76870d9ce7","source":{"kind":"arxiv","id":"2512.13681","version":1},"attestation_state":"computed","paper":{"title":"Bridging Simulations and EFT: A Hybrid Model of the Lyman-Alpha Forest Field","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["astro-ph.GA"],"primary_cat":"astro-ph.CO","authors_text":"Boryana Hadzhiyska, Mikhail M. Ivanov, Roger de Belsunce","submitted_at":"2025-12-15T18:59:04Z","abstract_excerpt":"The Lyman-alpha (Lya) forest is a unique probe of cosmology and the intergalactic medium at high redshift and small scales. The statistical power of the ongoing Dark Energy Spectroscopic Instrument (DESI) demands precise theoretical tools to model the Lya forest. We present a hybrid effective field theory (HEFT) forward model in redshift space that leverages the accuracy of non-linear particle displacements computed using the N-body simulation suite AbacusSummit with the predictive power of an analytical, perturbative bias forward model in the framework of the effective field theory (EFT). The"},"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":"2512.13681","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.CO","submitted_at":"2025-12-15T18:59:04Z","cross_cats_sorted":["astro-ph.GA"],"title_canon_sha256":"aa47a73f70a6945ca820a86fe6d8220186fb1a2050a2c6c2c9d2b77f97f4b425","abstract_canon_sha256":"f5cbf4ac8bb9a1633a685d896f43db6f5d1f6820a8ffadeef6c5231491a140fa"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-08T01:05:05.402569Z","signature_b64":"z3QvCL/X0SwS0yPA1A9JmkXUSnYRohKTLsui9FSfGlOXDAjnZChhy+IYX+1adzanQJCfJ+GsUKcWRIroi5sHCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5fb2c1f7b2467d2d7c52f5679812eed583e3f00d132de447eeedcc76870d9ce7","last_reissued_at":"2026-06-08T01:05:05.400761Z","signature_status":"signed_v1","first_computed_at":"2026-06-08T01:05:05.400761Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Bridging Simulations and EFT: A Hybrid Model of the Lyman-Alpha Forest Field","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["astro-ph.GA"],"primary_cat":"astro-ph.CO","authors_text":"Boryana Hadzhiyska, Mikhail M. Ivanov, Roger de Belsunce","submitted_at":"2025-12-15T18:59:04Z","abstract_excerpt":"The Lyman-alpha (Lya) forest is a unique probe of cosmology and the intergalactic medium at high redshift and small scales. The statistical power of the ongoing Dark Energy Spectroscopic Instrument (DESI) demands precise theoretical tools to model the Lya forest. We present a hybrid effective field theory (HEFT) forward model in redshift space that leverages the accuracy of non-linear particle displacements computed using the N-body simulation suite AbacusSummit with the predictive power of an analytical, perturbative bias forward model in the framework of the effective field theory (EFT). The"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2512.13681","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/2512.13681/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":"2512.13681","created_at":"2026-06-08T01:05:05.400875+00:00"},{"alias_kind":"arxiv_version","alias_value":"2512.13681v1","created_at":"2026-06-08T01:05:05.400875+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2512.13681","created_at":"2026-06-08T01:05:05.400875+00:00"},{"alias_kind":"pith_short_12","alias_value":"L6ZMD55SIZ6S","created_at":"2026-06-08T01:05:05.400875+00:00"},{"alias_kind":"pith_short_16","alias_value":"L6ZMD55SIZ6S27CS","created_at":"2026-06-08T01:05:05.400875+00:00"},{"alias_kind":"pith_short_8","alias_value":"L6ZMD55S","created_at":"2026-06-08T01:05:05.400875+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":2,"internal_anchor_count":2,"sample":[{"citing_arxiv_id":"2605.22489","citing_title":"Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\\alpha$ forest","ref_index":267,"is_internal_anchor":true},{"citing_arxiv_id":"2604.09407","citing_title":"Analytic compression of the effective field theory of the Lyman-alpha forest","ref_index":63,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/L6ZMD55SIZ6S27CS6VTZQEXO2W","json":"https://pith.science/pith/L6ZMD55SIZ6S27CS6VTZQEXO2W.json","graph_json":"https://pith.science/api/pith-number/L6ZMD55SIZ6S27CS6VTZQEXO2W/graph.json","events_json":"https://pith.science/api/pith-number/L6ZMD55SIZ6S27CS6VTZQEXO2W/events.json","paper":"https://pith.science/paper/L6ZMD55S"},"agent_actions":{"view_html":"https://pith.science/pith/L6ZMD55SIZ6S27CS6VTZQEXO2W","download_json":"https://pith.science/pith/L6ZMD55SIZ6S27CS6VTZQEXO2W.json","view_paper":"https://pith.science/paper/L6ZMD55S","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2512.13681&json=true","fetch_graph":"https://pith.science/api/pith-number/L6ZMD55SIZ6S27CS6VTZQEXO2W/graph.json","fetch_events":"https://pith.science/api/pith-number/L6ZMD55SIZ6S27CS6VTZQEXO2W/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/L6ZMD55SIZ6S27CS6VTZQEXO2W/action/timestamp_anchor","attest_storage":"https://pith.science/pith/L6ZMD55SIZ6S27CS6VTZQEXO2W/action/storage_attestation","attest_author":"https://pith.science/pith/L6ZMD55SIZ6S27CS6VTZQEXO2W/action/author_attestation","sign_citation":"https://pith.science/pith/L6ZMD55SIZ6S27CS6VTZQEXO2W/action/citation_signature","submit_replication":"https://pith.science/pith/L6ZMD55SIZ6S27CS6VTZQEXO2W/action/replication_record"}},"created_at":"2026-06-08T01:05:05.400875+00:00","updated_at":"2026-06-08T01:05:05.400875+00:00"}