{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:QF7GFVN7FAT3AFESCJANCGZHBV","short_pith_number":"pith:QF7GFVN7","schema_version":"1.0","canonical_sha256":"817e62d5bf2827b014921240d11b270d62eb137a7b47e6431910e90725778f2d","source":{"kind":"arxiv","id":"2409.17133","version":2},"attestation_state":"computed","paper":{"title":"An Analytically Tractable Marked Power Spectrum","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.CO","authors_text":"Haruki Ebina, Martin White","submitted_at":"2024-09-25T17:49:43Z","abstract_excerpt":"The increasing precision of cosmology data in the modern era is calling for methods to allow the extraction of non-Gaussian information using tools beyond two-point statistics. The marked power spectrum has the potential to extract beyond two-point information in a computationally efficient way while using much of the infrastructure already available for the power-spectrum. In this work we explore the marked power spectrum from an analytical perspective. In particular, we explore a low-order polynomial for the mark that allows us to better control the theoretical uncertainties and we show that"},"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":"2409.17133","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"astro-ph.CO","submitted_at":"2024-09-25T17:49:43Z","cross_cats_sorted":[],"title_canon_sha256":"7e0ddb0ca5f8343b5d9fdff96a72cbb25afbb6570c1735f0b2c4f7bcf517c046","abstract_canon_sha256":"0e2fc8c8b6441a2804185c860c7679d7a314ac1493ae67e5ab9a592a195bf8f4"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:13:03.893749Z","signature_b64":"xSy7+MTpyx/HegMpvkV6y0TJUNGjGYc6bm7c/ykkKWAXwp/bGxp8gfcUkuYOdo7xd0jUrcTifqVDnSmHthWdDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"817e62d5bf2827b014921240d11b270d62eb137a7b47e6431910e90725778f2d","last_reissued_at":"2026-07-05T10:13:03.893262Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:13:03.893262Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"An Analytically Tractable Marked Power Spectrum","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.CO","authors_text":"Haruki Ebina, Martin White","submitted_at":"2024-09-25T17:49:43Z","abstract_excerpt":"The increasing precision of cosmology data in the modern era is calling for methods to allow the extraction of non-Gaussian information using tools beyond two-point statistics. The marked power spectrum has the potential to extract beyond two-point information in a computationally efficient way while using much of the infrastructure already available for the power-spectrum. In this work we explore the marked power spectrum from an analytical perspective. In particular, we explore a low-order polynomial for the mark that allows us to better control the theoretical uncertainties and we show that"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.17133","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/2409.17133/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":"2409.17133","created_at":"2026-07-05T10:13:03.893325+00:00"},{"alias_kind":"arxiv_version","alias_value":"2409.17133v2","created_at":"2026-07-05T10:13:03.893325+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.17133","created_at":"2026-07-05T10:13:03.893325+00:00"},{"alias_kind":"pith_short_12","alias_value":"QF7GFVN7FAT3","created_at":"2026-07-05T10:13:03.893325+00:00"},{"alias_kind":"pith_short_16","alias_value":"QF7GFVN7FAT3AFES","created_at":"2026-07-05T10:13:03.893325+00:00"},{"alias_kind":"pith_short_8","alias_value":"QF7GFVN7","created_at":"2026-07-05T10:13:03.893325+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":45,"is_internal_anchor":false}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/QF7GFVN7FAT3AFESCJANCGZHBV","json":"https://pith.science/pith/QF7GFVN7FAT3AFESCJANCGZHBV.json","graph_json":"https://pith.science/api/pith-number/QF7GFVN7FAT3AFESCJANCGZHBV/graph.json","events_json":"https://pith.science/api/pith-number/QF7GFVN7FAT3AFESCJANCGZHBV/events.json","paper":"https://pith.science/paper/QF7GFVN7"},"agent_actions":{"view_html":"https://pith.science/pith/QF7GFVN7FAT3AFESCJANCGZHBV","download_json":"https://pith.science/pith/QF7GFVN7FAT3AFESCJANCGZHBV.json","view_paper":"https://pith.science/paper/QF7GFVN7","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2409.17133&json=true","fetch_graph":"https://pith.science/api/pith-number/QF7GFVN7FAT3AFESCJANCGZHBV/graph.json","fetch_events":"https://pith.science/api/pith-number/QF7GFVN7FAT3AFESCJANCGZHBV/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/QF7GFVN7FAT3AFESCJANCGZHBV/action/timestamp_anchor","attest_storage":"https://pith.science/pith/QF7GFVN7FAT3AFESCJANCGZHBV/action/storage_attestation","attest_author":"https://pith.science/pith/QF7GFVN7FAT3AFESCJANCGZHBV/action/author_attestation","sign_citation":"https://pith.science/pith/QF7GFVN7FAT3AFESCJANCGZHBV/action/citation_signature","submit_replication":"https://pith.science/pith/QF7GFVN7FAT3AFESCJANCGZHBV/action/replication_record"}},"created_at":"2026-07-05T10:13:03.893325+00:00","updated_at":"2026-07-05T10:13:03.893325+00:00"}