{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2020:Q2FNSEV6RTRP7WKYX2I6MKNK56","short_pith_number":"pith:Q2FNSEV6","schema_version":"1.0","canonical_sha256":"868ad912be8ce2ffd958be91e629aaefa0de5a509fdb0801228e15c4cada2ef6","source":{"kind":"arxiv","id":"2010.03720","version":1},"attestation_state":"computed","paper":{"title":"HI Deficiencies and Asymmetries in HIPASS Galaxies","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.GA","authors_text":"L. Staveley-Smith, T.N. Reynolds, T. Westmeier","submitted_at":"2020-10-08T01:39:15Z","abstract_excerpt":"We present an analysis of the sky distribution of neutral hydrogen (HI) deficiency and spectral asymmetry for galaxies detected by the HI Parkes All-Sky Survey (HIPASS) as a function of projected environment density. Previous studies of galaxy HI deficiency using HIPASS were sensitive to galaxies that are extremely HI rich or poor. We use an updated binning statistic for measuring the global sky distribution of HI deficiency that is sensitive to the average deficiencies. Our analysis confirms the result from previous studies that galaxies residing in denser environments, such as Virgo, are on "},"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":"2010.03720","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.GA","submitted_at":"2020-10-08T01:39:15Z","cross_cats_sorted":[],"title_canon_sha256":"a1d1222614dffbe1d26d6df16ad3adedfbff4611af97f6643e99a69c6efb44d0","abstract_canon_sha256":"5b3214c279dde39f3be822b0b210324de977fb188ed55178fb9bfea3f2b92202"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:44:22.222364Z","signature_b64":"3ogZe5XTF7XFrbOFVDpa3LHzEKWtAgwQWlNNDTO0ZXAw0L99TvnUnI+K4fstqTTLZpom4B5crFqdcse3seeTBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"868ad912be8ce2ffd958be91e629aaefa0de5a509fdb0801228e15c4cada2ef6","last_reissued_at":"2026-07-05T01:44:22.221921Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:44:22.221921Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"HI Deficiencies and Asymmetries in HIPASS Galaxies","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.GA","authors_text":"L. Staveley-Smith, T.N. Reynolds, T. Westmeier","submitted_at":"2020-10-08T01:39:15Z","abstract_excerpt":"We present an analysis of the sky distribution of neutral hydrogen (HI) deficiency and spectral asymmetry for galaxies detected by the HI Parkes All-Sky Survey (HIPASS) as a function of projected environment density. Previous studies of galaxy HI deficiency using HIPASS were sensitive to galaxies that are extremely HI rich or poor. We use an updated binning statistic for measuring the global sky distribution of HI deficiency that is sensitive to the average deficiencies. Our analysis confirms the result from previous studies that galaxies residing in denser environments, such as Virgo, are on "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2010.03720","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2010.03720/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":"2010.03720","created_at":"2026-07-05T01:44:22.221973+00:00"},{"alias_kind":"arxiv_version","alias_value":"2010.03720v1","created_at":"2026-07-05T01:44:22.221973+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2010.03720","created_at":"2026-07-05T01:44:22.221973+00:00"},{"alias_kind":"pith_short_12","alias_value":"Q2FNSEV6RTRP","created_at":"2026-07-05T01:44:22.221973+00:00"},{"alias_kind":"pith_short_16","alias_value":"Q2FNSEV6RTRP7WKY","created_at":"2026-07-05T01:44:22.221973+00:00"},{"alias_kind":"pith_short_8","alias_value":"Q2FNSEV6","created_at":"2026-07-05T01:44:22.221973+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2607.07441","citing_title":"A machine learning approach to estimating HI deficiency in galaxies","ref_index":41,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/Q2FNSEV6RTRP7WKYX2I6MKNK56","json":"https://pith.science/pith/Q2FNSEV6RTRP7WKYX2I6MKNK56.json","graph_json":"https://pith.science/api/pith-number/Q2FNSEV6RTRP7WKYX2I6MKNK56/graph.json","events_json":"https://pith.science/api/pith-number/Q2FNSEV6RTRP7WKYX2I6MKNK56/events.json","paper":"https://pith.science/paper/Q2FNSEV6"},"agent_actions":{"view_html":"https://pith.science/pith/Q2FNSEV6RTRP7WKYX2I6MKNK56","download_json":"https://pith.science/pith/Q2FNSEV6RTRP7WKYX2I6MKNK56.json","view_paper":"https://pith.science/paper/Q2FNSEV6","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2010.03720&json=true","fetch_graph":"https://pith.science/api/pith-number/Q2FNSEV6RTRP7WKYX2I6MKNK56/graph.json","fetch_events":"https://pith.science/api/pith-number/Q2FNSEV6RTRP7WKYX2I6MKNK56/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/Q2FNSEV6RTRP7WKYX2I6MKNK56/action/timestamp_anchor","attest_storage":"https://pith.science/pith/Q2FNSEV6RTRP7WKYX2I6MKNK56/action/storage_attestation","attest_author":"https://pith.science/pith/Q2FNSEV6RTRP7WKYX2I6MKNK56/action/author_attestation","sign_citation":"https://pith.science/pith/Q2FNSEV6RTRP7WKYX2I6MKNK56/action/citation_signature","submit_replication":"https://pith.science/pith/Q2FNSEV6RTRP7WKYX2I6MKNK56/action/replication_record"}},"created_at":"2026-07-05T01:44:22.221973+00:00","updated_at":"2026-07-05T01:44:22.221973+00:00"}