{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:T4D2LO7Y5QIOPXPIEEQFYG6AAW","short_pith_number":"pith:T4D2LO7Y","schema_version":"1.0","canonical_sha256":"9f07a5bbf8ec10e7dde821205c1bc005a42031aa6cbe92f32489b7f729566888","source":{"kind":"arxiv","id":"2312.03244","version":1},"attestation_state":"computed","paper":{"title":"Improving Constraint on $\\Omega_{m}$ from SDSS Using Marked Correlation Functions","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.CO","authors_text":"G. F. Liu, J. C. Ding, K. S. Liu, L. M. Lai, L. Zhang, X. D. Li, X. L. Luo, X. Wang, Y. Zheng, Y. Z. Yang, Z. H. Wang, Z. Y. Li","submitted_at":"2023-12-06T02:32:07Z","abstract_excerpt":"Large-scale structure (LSS) surveys will increasingly provide stringent constraints on our cosmological models. Recently, the density-marked correlation function (MCF) has been introduced, offering an easily computable density-correlation statistic. Simulations have demonstrated that MCFs offer additional, independent constraints on cosmological models beyond the standard two-point correlation (2PCF). In this study, we apply MCFs for the first time to SDSS CMASS data, aiming to investigate the statistical information regarding clustering and anisotropy properties in the Universe and assess 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":"2312.03244","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.CO","submitted_at":"2023-12-06T02:32:07Z","cross_cats_sorted":[],"title_canon_sha256":"4f8478cff4df850dd804c7098219ceed394307305b4fa287071aa30f1a1525e8","abstract_canon_sha256":"a293a0dbdb90db929b978092ce29a50023c1a373fe5d04fc850d505114a3fbb0"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:27:06.197549Z","signature_b64":"GVuMjgzafiL7kjguZK7Ip3NCa7Tj8ACLOrx8P6pbf8bmhET4rUCF0m24dEikKI2W1c+UTOsWIVL3lwYQk1FhCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9f07a5bbf8ec10e7dde821205c1bc005a42031aa6cbe92f32489b7f729566888","last_reissued_at":"2026-07-05T10:27:06.196914Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:27:06.196914Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Improving Constraint on $\\Omega_{m}$ from SDSS Using Marked Correlation Functions","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.CO","authors_text":"G. F. Liu, J. C. Ding, K. S. Liu, L. M. Lai, L. Zhang, X. D. Li, X. L. Luo, X. Wang, Y. Zheng, Y. Z. Yang, Z. H. Wang, Z. Y. Li","submitted_at":"2023-12-06T02:32:07Z","abstract_excerpt":"Large-scale structure (LSS) surveys will increasingly provide stringent constraints on our cosmological models. Recently, the density-marked correlation function (MCF) has been introduced, offering an easily computable density-correlation statistic. Simulations have demonstrated that MCFs offer additional, independent constraints on cosmological models beyond the standard two-point correlation (2PCF). In this study, we apply MCFs for the first time to SDSS CMASS data, aiming to investigate the statistical information regarding clustering and anisotropy properties in the Universe and assess the"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2312.03244","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/2312.03244/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":"2312.03244","created_at":"2026-07-05T10:27:06.196984+00:00"},{"alias_kind":"arxiv_version","alias_value":"2312.03244v1","created_at":"2026-07-05T10:27:06.196984+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2312.03244","created_at":"2026-07-05T10:27:06.196984+00:00"},{"alias_kind":"pith_short_12","alias_value":"T4D2LO7Y5QIO","created_at":"2026-07-05T10:27:06.196984+00:00"},{"alias_kind":"pith_short_16","alias_value":"T4D2LO7Y5QIOPXPI","created_at":"2026-07-05T10:27:06.196984+00:00"},{"alias_kind":"pith_short_8","alias_value":"T4D2LO7Y","created_at":"2026-07-05T10:27:06.196984+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":0,"sample":[{"citing_arxiv_id":"2504.20478","citing_title":"Tomographic Alcock-Paczynski Test with Marked Correlation Functions","ref_index":49,"is_internal_anchor":false}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/T4D2LO7Y5QIOPXPIEEQFYG6AAW","json":"https://pith.science/pith/T4D2LO7Y5QIOPXPIEEQFYG6AAW.json","graph_json":"https://pith.science/api/pith-number/T4D2LO7Y5QIOPXPIEEQFYG6AAW/graph.json","events_json":"https://pith.science/api/pith-number/T4D2LO7Y5QIOPXPIEEQFYG6AAW/events.json","paper":"https://pith.science/paper/T4D2LO7Y"},"agent_actions":{"view_html":"https://pith.science/pith/T4D2LO7Y5QIOPXPIEEQFYG6AAW","download_json":"https://pith.science/pith/T4D2LO7Y5QIOPXPIEEQFYG6AAW.json","view_paper":"https://pith.science/paper/T4D2LO7Y","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2312.03244&json=true","fetch_graph":"https://pith.science/api/pith-number/T4D2LO7Y5QIOPXPIEEQFYG6AAW/graph.json","fetch_events":"https://pith.science/api/pith-number/T4D2LO7Y5QIOPXPIEEQFYG6AAW/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/T4D2LO7Y5QIOPXPIEEQFYG6AAW/action/timestamp_anchor","attest_storage":"https://pith.science/pith/T4D2LO7Y5QIOPXPIEEQFYG6AAW/action/storage_attestation","attest_author":"https://pith.science/pith/T4D2LO7Y5QIOPXPIEEQFYG6AAW/action/author_attestation","sign_citation":"https://pith.science/pith/T4D2LO7Y5QIOPXPIEEQFYG6AAW/action/citation_signature","submit_replication":"https://pith.science/pith/T4D2LO7Y5QIOPXPIEEQFYG6AAW/action/replication_record"}},"created_at":"2026-07-05T10:27:06.196984+00:00","updated_at":"2026-07-05T10:27:06.196984+00:00"}