{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2022:PDAEJEXI5R2M7JSYNKHYIPWFZI","short_pith_number":"pith:PDAEJEXI","schema_version":"1.0","canonical_sha256":"78c04492e8ec74cfa6586a8f843ec5ca02dcfd207dd2c7238e42d783fb4ce3b7","source":{"kind":"arxiv","id":"2211.15642","version":2},"attestation_state":"computed","paper":{"title":"Separating the blue cloud and the red sequence using Otsu's method for image segmentation","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["astro-ph.CO","astro-ph.IM"],"primary_cat":"astro-ph.GA","authors_text":"Biswajit Pandey","submitted_at":"2022-11-28T18:49:24Z","abstract_excerpt":"The observed colour bimodality allows a classification of the galaxies into two distinct classes: the `blue cloud' and the `red sequence'. Such classification is often carried out using empirical cuts in colour and other galaxy properties that lack solid mathematical justifications. We propose a method for separating the galaxies in the `blue cloud' and the `red sequence' using Otsu's thresholding technique for image segmentation. We show that this technique is insensitive to the choice of binning. It provides a robust and parameter-free method for the classification of the red and blue galaxi"},"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":"2211.15642","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"astro-ph.GA","submitted_at":"2022-11-28T18:49:24Z","cross_cats_sorted":["astro-ph.CO","astro-ph.IM"],"title_canon_sha256":"0c5dd1baed4b28f7b6d6ebeabb4d1c091a5de5ec7cf3e8217335fbdc6ef22431","abstract_canon_sha256":"cf4c4a2338e9bcffff76929401dbf1f57eaf80edf0bc25ab103d87082db8b7bd"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:26:44.356872Z","signature_b64":"c7Osf761J+NVU4B34CThAyIWL6jgDrifIzW2S7QZT9lNnO+GTddSEGAnEsNPoN82d5d7eb/TVJUDD5LwfxJHAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"78c04492e8ec74cfa6586a8f843ec5ca02dcfd207dd2c7238e42d783fb4ce3b7","last_reissued_at":"2026-07-05T06:26:44.356403Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:26:44.356403Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Separating the blue cloud and the red sequence using Otsu's method for image segmentation","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["astro-ph.CO","astro-ph.IM"],"primary_cat":"astro-ph.GA","authors_text":"Biswajit Pandey","submitted_at":"2022-11-28T18:49:24Z","abstract_excerpt":"The observed colour bimodality allows a classification of the galaxies into two distinct classes: the `blue cloud' and the `red sequence'. Such classification is often carried out using empirical cuts in colour and other galaxy properties that lack solid mathematical justifications. We propose a method for separating the galaxies in the `blue cloud' and the `red sequence' using Otsu's thresholding technique for image segmentation. We show that this technique is insensitive to the choice of binning. It provides a robust and parameter-free method for the classification of the red and blue galaxi"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2211.15642","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/2211.15642/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":"2211.15642","created_at":"2026-07-05T06:26:44.356467+00:00"},{"alias_kind":"arxiv_version","alias_value":"2211.15642v2","created_at":"2026-07-05T06:26:44.356467+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2211.15642","created_at":"2026-07-05T06:26:44.356467+00:00"},{"alias_kind":"pith_short_12","alias_value":"PDAEJEXI5R2M","created_at":"2026-07-05T06:26:44.356467+00:00"},{"alias_kind":"pith_short_16","alias_value":"PDAEJEXI5R2M7JSY","created_at":"2026-07-05T06:26:44.356467+00:00"},{"alias_kind":"pith_short_8","alias_value":"PDAEJEXI","created_at":"2026-07-05T06:26:44.356467+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":0,"sample":[{"citing_arxiv_id":"2604.02463","citing_title":"Cosmic-web quenching with DESI DR1: T-Web environments and mass-dependent red/blue classification","ref_index":28,"is_internal_anchor":false}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/PDAEJEXI5R2M7JSYNKHYIPWFZI","json":"https://pith.science/pith/PDAEJEXI5R2M7JSYNKHYIPWFZI.json","graph_json":"https://pith.science/api/pith-number/PDAEJEXI5R2M7JSYNKHYIPWFZI/graph.json","events_json":"https://pith.science/api/pith-number/PDAEJEXI5R2M7JSYNKHYIPWFZI/events.json","paper":"https://pith.science/paper/PDAEJEXI"},"agent_actions":{"view_html":"https://pith.science/pith/PDAEJEXI5R2M7JSYNKHYIPWFZI","download_json":"https://pith.science/pith/PDAEJEXI5R2M7JSYNKHYIPWFZI.json","view_paper":"https://pith.science/paper/PDAEJEXI","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2211.15642&json=true","fetch_graph":"https://pith.science/api/pith-number/PDAEJEXI5R2M7JSYNKHYIPWFZI/graph.json","fetch_events":"https://pith.science/api/pith-number/PDAEJEXI5R2M7JSYNKHYIPWFZI/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/PDAEJEXI5R2M7JSYNKHYIPWFZI/action/timestamp_anchor","attest_storage":"https://pith.science/pith/PDAEJEXI5R2M7JSYNKHYIPWFZI/action/storage_attestation","attest_author":"https://pith.science/pith/PDAEJEXI5R2M7JSYNKHYIPWFZI/action/author_attestation","sign_citation":"https://pith.science/pith/PDAEJEXI5R2M7JSYNKHYIPWFZI/action/citation_signature","submit_replication":"https://pith.science/pith/PDAEJEXI5R2M7JSYNKHYIPWFZI/action/replication_record"}},"created_at":"2026-07-05T06:26:44.356467+00:00","updated_at":"2026-07-05T06:26:44.356467+00:00"}