{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2015:S7PPLEGTMYHVOZCMISI7AMSZDR","short_pith_number":"pith:S7PPLEGT","schema_version":"1.0","canonical_sha256":"97def590d3660f57644c4491f032591c5fc4b046d5261fc25c3b6bf684d4850a","source":{"kind":"arxiv","id":"1509.06443","version":1},"attestation_state":"computed","paper":{"title":"Cosmic Web Reconstruction through Density Ridges: Catalogue","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.AP"],"primary_cat":"astro-ph.CO","authors_text":"Christopher R. Genovese, Donald P. Schneider, Jon Brinkmann, Larry Wasserman, Peter E. Freeman, Shirley Ho, Yen-Chi Chen","submitted_at":"2015-09-22T01:48:57Z","abstract_excerpt":"We construct a catalogue for filaments using a novel approach called SCMS (subspace constrained mean shift; Ozertem & Erdogmus 2011; Chen et al. 2015). SCMS is a gradient-based method that detects filaments through density ridges (smooth curves tracing high-density regions). A great advantage of SCMS is its uncertainty measure, which allows an evaluation of the errors for the detected filaments. To detect filaments, we use data from the Sloan Digital Sky Survey, which consist of three galaxy samples: the NYU main galaxy sample (MGS), the LOWZ sample and the CMASS sample. Each of the three data"},"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":"1509.06443","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.CO","submitted_at":"2015-09-22T01:48:57Z","cross_cats_sorted":["stat.AP"],"title_canon_sha256":"16c6abd7fa37a68e97427dc0c1261d78c5ab169a80f055af519005b2c7bf85b3","abstract_canon_sha256":"51758d0936981d38ac1c8bdc9759d753ceae8aabed402a0c1bd93fcf0876e8cb"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:10:10.003865Z","signature_b64":"veLE0b1Apof+iwQ6UCMqAaf4oCw1eWIuEm2i/LelguX5qzpmmhToyg7gqZLTypaInMooEvbH2CskEsejtbSMDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"97def590d3660f57644c4491f032591c5fc4b046d5261fc25c3b6bf684d4850a","last_reissued_at":"2026-05-18T01:10:10.003311Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:10:10.003311Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Cosmic Web Reconstruction through Density Ridges: Catalogue","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.AP"],"primary_cat":"astro-ph.CO","authors_text":"Christopher R. Genovese, Donald P. Schneider, Jon Brinkmann, Larry Wasserman, Peter E. Freeman, Shirley Ho, Yen-Chi Chen","submitted_at":"2015-09-22T01:48:57Z","abstract_excerpt":"We construct a catalogue for filaments using a novel approach called SCMS (subspace constrained mean shift; Ozertem & Erdogmus 2011; Chen et al. 2015). SCMS is a gradient-based method that detects filaments through density ridges (smooth curves tracing high-density regions). A great advantage of SCMS is its uncertainty measure, which allows an evaluation of the errors for the detected filaments. To detect filaments, we use data from the Sloan Digital Sky Survey, which consist of three galaxy samples: the NYU main galaxy sample (MGS), the LOWZ sample and the CMASS sample. Each of the three data"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1509.06443","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":"1509.06443","created_at":"2026-05-18T01:10:10.003415+00:00"},{"alias_kind":"arxiv_version","alias_value":"1509.06443v1","created_at":"2026-05-18T01:10:10.003415+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1509.06443","created_at":"2026-05-18T01:10:10.003415+00:00"},{"alias_kind":"pith_short_12","alias_value":"S7PPLEGTMYHV","created_at":"2026-05-18T12:29:39.896362+00:00"},{"alias_kind":"pith_short_16","alias_value":"S7PPLEGTMYHVOZCM","created_at":"2026-05-18T12:29:39.896362+00:00"},{"alias_kind":"pith_short_8","alias_value":"S7PPLEGT","created_at":"2026-05-18T12:29:39.896362+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/S7PPLEGTMYHVOZCMISI7AMSZDR","json":"https://pith.science/pith/S7PPLEGTMYHVOZCMISI7AMSZDR.json","graph_json":"https://pith.science/api/pith-number/S7PPLEGTMYHVOZCMISI7AMSZDR/graph.json","events_json":"https://pith.science/api/pith-number/S7PPLEGTMYHVOZCMISI7AMSZDR/events.json","paper":"https://pith.science/paper/S7PPLEGT"},"agent_actions":{"view_html":"https://pith.science/pith/S7PPLEGTMYHVOZCMISI7AMSZDR","download_json":"https://pith.science/pith/S7PPLEGTMYHVOZCMISI7AMSZDR.json","view_paper":"https://pith.science/paper/S7PPLEGT","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1509.06443&json=true","fetch_graph":"https://pith.science/api/pith-number/S7PPLEGTMYHVOZCMISI7AMSZDR/graph.json","fetch_events":"https://pith.science/api/pith-number/S7PPLEGTMYHVOZCMISI7AMSZDR/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/S7PPLEGTMYHVOZCMISI7AMSZDR/action/timestamp_anchor","attest_storage":"https://pith.science/pith/S7PPLEGTMYHVOZCMISI7AMSZDR/action/storage_attestation","attest_author":"https://pith.science/pith/S7PPLEGTMYHVOZCMISI7AMSZDR/action/author_attestation","sign_citation":"https://pith.science/pith/S7PPLEGTMYHVOZCMISI7AMSZDR/action/citation_signature","submit_replication":"https://pith.science/pith/S7PPLEGTMYHVOZCMISI7AMSZDR/action/replication_record"}},"created_at":"2026-05-18T01:10:10.003415+00:00","updated_at":"2026-05-18T01:10:10.003415+00:00"}