{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2013:GONKD6WVVC5TQ2EM5WZLWABAZR","short_pith_number":"pith:GONKD6WV","schema_version":"1.0","canonical_sha256":"339aa1fad5a8bb38688cedb2bb0020cc7d9d82dea48b574bcc0447cd786f0234","source":{"kind":"arxiv","id":"1302.6714","version":1},"attestation_state":"computed","paper":{"title":"On signals faint and sparse: the ACICA algorithm for blind de-trending of Exoplanetary transits with low signal-to-noise","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["astro-ph.IM"],"primary_cat":"astro-ph.EP","authors_text":"I. P. Waldmann","submitted_at":"2013-02-27T10:32:03Z","abstract_excerpt":"Independent Component Analysis (ICA) has recently been shown to be a promising new path in data analysis and de-trending of exoplanetary time series signals. Such approaches do not require or assume any prior or auxiliary knowledge on the data or instrument in order to de-convolve the astrophysical light curve signal from instrument or stellar systematic noise. These methods are often known as 'blind source separation' (BSS) algorithms. Unfortunately all BSS methods suffer from a amplitude and sign ambiguity of their de-convolved components which severely limits these methods in low signal-to-"},"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":"1302.6714","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.EP","submitted_at":"2013-02-27T10:32:03Z","cross_cats_sorted":["astro-ph.IM"],"title_canon_sha256":"7a6a5b066347530c5b1a68de95dc9c82edf2cc5ea035586283af0d5aa85fc6df","abstract_canon_sha256":"db32652efb4051fa1deef96734778adb44271e798d5047d410f9d7477909b136"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:51:26.796992Z","signature_b64":"negItSi1+TWKABwF+eqLTQFMkQSvKHzxvsNXv+25Ty4lmDBCBbaU7P2tZSdX4fuA4lfoymPnCUVil8GYgAetBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"339aa1fad5a8bb38688cedb2bb0020cc7d9d82dea48b574bcc0447cd786f0234","last_reissued_at":"2026-05-18T01:51:26.796267Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:51:26.796267Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"On signals faint and sparse: the ACICA algorithm for blind de-trending of Exoplanetary transits with low signal-to-noise","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["astro-ph.IM"],"primary_cat":"astro-ph.EP","authors_text":"I. P. Waldmann","submitted_at":"2013-02-27T10:32:03Z","abstract_excerpt":"Independent Component Analysis (ICA) has recently been shown to be a promising new path in data analysis and de-trending of exoplanetary time series signals. Such approaches do not require or assume any prior or auxiliary knowledge on the data or instrument in order to de-convolve the astrophysical light curve signal from instrument or stellar systematic noise. These methods are often known as 'blind source separation' (BSS) algorithms. Unfortunately all BSS methods suffer from a amplitude and sign ambiguity of their de-convolved components which severely limits these methods in low signal-to-"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1302.6714","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":"1302.6714","created_at":"2026-05-18T01:51:26.796407+00:00"},{"alias_kind":"arxiv_version","alias_value":"1302.6714v1","created_at":"2026-05-18T01:51:26.796407+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1302.6714","created_at":"2026-05-18T01:51:26.796407+00:00"},{"alias_kind":"pith_short_12","alias_value":"GONKD6WVVC5T","created_at":"2026-05-18T12:27:45.050594+00:00"},{"alias_kind":"pith_short_16","alias_value":"GONKD6WVVC5TQ2EM","created_at":"2026-05-18T12:27:45.050594+00:00"},{"alias_kind":"pith_short_8","alias_value":"GONKD6WV","created_at":"2026-05-18T12:27:45.050594+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/GONKD6WVVC5TQ2EM5WZLWABAZR","json":"https://pith.science/pith/GONKD6WVVC5TQ2EM5WZLWABAZR.json","graph_json":"https://pith.science/api/pith-number/GONKD6WVVC5TQ2EM5WZLWABAZR/graph.json","events_json":"https://pith.science/api/pith-number/GONKD6WVVC5TQ2EM5WZLWABAZR/events.json","paper":"https://pith.science/paper/GONKD6WV"},"agent_actions":{"view_html":"https://pith.science/pith/GONKD6WVVC5TQ2EM5WZLWABAZR","download_json":"https://pith.science/pith/GONKD6WVVC5TQ2EM5WZLWABAZR.json","view_paper":"https://pith.science/paper/GONKD6WV","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1302.6714&json=true","fetch_graph":"https://pith.science/api/pith-number/GONKD6WVVC5TQ2EM5WZLWABAZR/graph.json","fetch_events":"https://pith.science/api/pith-number/GONKD6WVVC5TQ2EM5WZLWABAZR/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/GONKD6WVVC5TQ2EM5WZLWABAZR/action/timestamp_anchor","attest_storage":"https://pith.science/pith/GONKD6WVVC5TQ2EM5WZLWABAZR/action/storage_attestation","attest_author":"https://pith.science/pith/GONKD6WVVC5TQ2EM5WZLWABAZR/action/author_attestation","sign_citation":"https://pith.science/pith/GONKD6WVVC5TQ2EM5WZLWABAZR/action/citation_signature","submit_replication":"https://pith.science/pith/GONKD6WVVC5TQ2EM5WZLWABAZR/action/replication_record"}},"created_at":"2026-05-18T01:51:26.796407+00:00","updated_at":"2026-05-18T01:51:26.796407+00:00"}