{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2013:J645GFJTTDLALJM2NCTBFAU7LX","short_pith_number":"pith:J645GFJT","schema_version":"1.0","canonical_sha256":"4fb9d3153398d605a59a68a612829f5dccbb335747022baa24212d4b140b65b7","source":{"kind":"arxiv","id":"1308.6148","version":2},"attestation_state":"computed","paper":{"title":"Detrended Cross-Correlation Analysis Consistently Extended to Multifractality","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["q-fin.ST"],"primary_cat":"physics.data-an","authors_text":"Jaros{\\l}aw Kwapie\\'n, Marcin Forczek, Pawe{\\l} O\\'swi\\c{e}cimka, Stanis{\\l}aw Dro\\.zd\\.z, Stanis{\\l}aw Jadach","submitted_at":"2013-08-28T13:11:30Z","abstract_excerpt":"We propose a novel algorithm - Multifractal Cross-Correlation Analysis (MFCCA) - that constitutes a consistent extension of the Detrended Cross-Correlation Analysis (DCCA) and is able to properly identify and quantify subtle characteristics of multifractal cross-correlations between two time series. Our motivation for introducing this algorithm is that the already existing methods like MF-DXA have at best serious limitations for most of the signals describing complex natural processes and often indicate multifractal cross-correlations when there are none. The principal component of the present"},"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":"1308.6148","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.data-an","submitted_at":"2013-08-28T13:11:30Z","cross_cats_sorted":["q-fin.ST"],"title_canon_sha256":"45c3683cae80a1a350d37709fad6f051dda0d82dc4c55df5159484ca5ea193e4","abstract_canon_sha256":"f67295119431ff96d2fd4ed247cc94a6e1e9f0e41773c5274d881403463ddd83"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:58:21.772994Z","signature_b64":"AOfJQ8/9+gqACPDoQwbCnwtYHuOe+QwAvAzcvkcQom0oRdA/m60U3UNhynq/Tiqd5tBs0eg7Gavhp8JAzOfmAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4fb9d3153398d605a59a68a612829f5dccbb335747022baa24212d4b140b65b7","last_reissued_at":"2026-05-18T02:58:21.772484Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:58:21.772484Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Detrended Cross-Correlation Analysis Consistently Extended to Multifractality","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["q-fin.ST"],"primary_cat":"physics.data-an","authors_text":"Jaros{\\l}aw Kwapie\\'n, Marcin Forczek, Pawe{\\l} O\\'swi\\c{e}cimka, Stanis{\\l}aw Dro\\.zd\\.z, Stanis{\\l}aw Jadach","submitted_at":"2013-08-28T13:11:30Z","abstract_excerpt":"We propose a novel algorithm - Multifractal Cross-Correlation Analysis (MFCCA) - that constitutes a consistent extension of the Detrended Cross-Correlation Analysis (DCCA) and is able to properly identify and quantify subtle characteristics of multifractal cross-correlations between two time series. Our motivation for introducing this algorithm is that the already existing methods like MF-DXA have at best serious limitations for most of the signals describing complex natural processes and often indicate multifractal cross-correlations when there are none. The principal component of the present"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1308.6148","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":""},"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":"1308.6148","created_at":"2026-05-18T02:58:21.772576+00:00"},{"alias_kind":"arxiv_version","alias_value":"1308.6148v2","created_at":"2026-05-18T02:58:21.772576+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1308.6148","created_at":"2026-05-18T02:58:21.772576+00:00"},{"alias_kind":"pith_short_12","alias_value":"J645GFJTTDLA","created_at":"2026-05-18T12:27:49.015174+00:00"},{"alias_kind":"pith_short_16","alias_value":"J645GFJTTDLALJM2","created_at":"2026-05-18T12:27:49.015174+00:00"},{"alias_kind":"pith_short_8","alias_value":"J645GFJT","created_at":"2026-05-18T12:27:49.015174+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/J645GFJTTDLALJM2NCTBFAU7LX","json":"https://pith.science/pith/J645GFJTTDLALJM2NCTBFAU7LX.json","graph_json":"https://pith.science/api/pith-number/J645GFJTTDLALJM2NCTBFAU7LX/graph.json","events_json":"https://pith.science/api/pith-number/J645GFJTTDLALJM2NCTBFAU7LX/events.json","paper":"https://pith.science/paper/J645GFJT"},"agent_actions":{"view_html":"https://pith.science/pith/J645GFJTTDLALJM2NCTBFAU7LX","download_json":"https://pith.science/pith/J645GFJTTDLALJM2NCTBFAU7LX.json","view_paper":"https://pith.science/paper/J645GFJT","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1308.6148&json=true","fetch_graph":"https://pith.science/api/pith-number/J645GFJTTDLALJM2NCTBFAU7LX/graph.json","fetch_events":"https://pith.science/api/pith-number/J645GFJTTDLALJM2NCTBFAU7LX/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/J645GFJTTDLALJM2NCTBFAU7LX/action/timestamp_anchor","attest_storage":"https://pith.science/pith/J645GFJTTDLALJM2NCTBFAU7LX/action/storage_attestation","attest_author":"https://pith.science/pith/J645GFJTTDLALJM2NCTBFAU7LX/action/author_attestation","sign_citation":"https://pith.science/pith/J645GFJTTDLALJM2NCTBFAU7LX/action/citation_signature","submit_replication":"https://pith.science/pith/J645GFJTTDLALJM2NCTBFAU7LX/action/replication_record"}},"created_at":"2026-05-18T02:58:21.772576+00:00","updated_at":"2026-05-18T02:58:21.772576+00:00"}