{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2011:LMRDESG3F73V646AFA2HOZMSIT","short_pith_number":"pith:LMRDESG3","schema_version":"1.0","canonical_sha256":"5b223248db2ff75f73c0283477659244c01850b6d4d8043a744669860dc834af","source":{"kind":"arxiv","id":"1112.0492","version":1},"attestation_state":"computed","paper":{"title":"Bayesian analysis of cosmic structures","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["astro-ph.IM"],"primary_cat":"astro-ph.CO","authors_text":"Francisco-Shu Kitaura","submitted_at":"2011-12-02T16:01:22Z","abstract_excerpt":"We revise the Bayesian inference steps required to analyse the cosmological large-scale structure. Here we make special emphasis in the complications which arise due to the non-Gaussian character of the galaxy and matter distribution. In particular we investigate the advantages and limitations of the Poisson-lognormal model and discuss how to extend this work. With the lognormal prior using the Hamiltonian sampling technique and on scales of about 4 h^{-1} Mpc we find that the over-dense regions are excellent reconstructed, however, under-dense regions (void statistics) are quantitatively poor"},"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":"1112.0492","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.CO","submitted_at":"2011-12-02T16:01:22Z","cross_cats_sorted":["astro-ph.IM"],"title_canon_sha256":"505c27c0f7bf4d45f5a9121885c09f3453e5b69c17edc0859d7277de6cd47da2","abstract_canon_sha256":"482e888742bbe9f66e0944f9e8f64ad6a718432387bc8dd97ac032e2f143a9ce"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:59:17.905572Z","signature_b64":"E2wzBICIHkkvCBfmglyIRN+clCbkIxnlxipaxWUv7UjFI6W1d9Bun6hRPC3ZX5iCCrX+myBiwSkC6mL4vLntBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5b223248db2ff75f73c0283477659244c01850b6d4d8043a744669860dc834af","last_reissued_at":"2026-05-18T01:59:17.904920Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:59:17.904920Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Bayesian analysis of cosmic structures","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["astro-ph.IM"],"primary_cat":"astro-ph.CO","authors_text":"Francisco-Shu Kitaura","submitted_at":"2011-12-02T16:01:22Z","abstract_excerpt":"We revise the Bayesian inference steps required to analyse the cosmological large-scale structure. Here we make special emphasis in the complications which arise due to the non-Gaussian character of the galaxy and matter distribution. In particular we investigate the advantages and limitations of the Poisson-lognormal model and discuss how to extend this work. With the lognormal prior using the Hamiltonian sampling technique and on scales of about 4 h^{-1} Mpc we find that the over-dense regions are excellent reconstructed, however, under-dense regions (void statistics) are quantitatively poor"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1112.0492","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":""},"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":"1112.0492","created_at":"2026-05-18T01:59:17.905013+00:00"},{"alias_kind":"arxiv_version","alias_value":"1112.0492v1","created_at":"2026-05-18T01:59:17.905013+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1112.0492","created_at":"2026-05-18T01:59:17.905013+00:00"},{"alias_kind":"pith_short_12","alias_value":"LMRDESG3F73V","created_at":"2026-05-18T12:26:34.985390+00:00"},{"alias_kind":"pith_short_16","alias_value":"LMRDESG3F73V646A","created_at":"2026-05-18T12:26:34.985390+00:00"},{"alias_kind":"pith_short_8","alias_value":"LMRDESG3","created_at":"2026-05-18T12:26:34.985390+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/LMRDESG3F73V646AFA2HOZMSIT","json":"https://pith.science/pith/LMRDESG3F73V646AFA2HOZMSIT.json","graph_json":"https://pith.science/api/pith-number/LMRDESG3F73V646AFA2HOZMSIT/graph.json","events_json":"https://pith.science/api/pith-number/LMRDESG3F73V646AFA2HOZMSIT/events.json","paper":"https://pith.science/paper/LMRDESG3"},"agent_actions":{"view_html":"https://pith.science/pith/LMRDESG3F73V646AFA2HOZMSIT","download_json":"https://pith.science/pith/LMRDESG3F73V646AFA2HOZMSIT.json","view_paper":"https://pith.science/paper/LMRDESG3","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1112.0492&json=true","fetch_graph":"https://pith.science/api/pith-number/LMRDESG3F73V646AFA2HOZMSIT/graph.json","fetch_events":"https://pith.science/api/pith-number/LMRDESG3F73V646AFA2HOZMSIT/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/LMRDESG3F73V646AFA2HOZMSIT/action/timestamp_anchor","attest_storage":"https://pith.science/pith/LMRDESG3F73V646AFA2HOZMSIT/action/storage_attestation","attest_author":"https://pith.science/pith/LMRDESG3F73V646AFA2HOZMSIT/action/author_attestation","sign_citation":"https://pith.science/pith/LMRDESG3F73V646AFA2HOZMSIT/action/citation_signature","submit_replication":"https://pith.science/pith/LMRDESG3F73V646AFA2HOZMSIT/action/replication_record"}},"created_at":"2026-05-18T01:59:17.905013+00:00","updated_at":"2026-05-18T01:59:17.905013+00:00"}