{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2020:P63NXCK2MDFYMMV6QHYSO72XSG","short_pith_number":"pith:P63NXCK2","schema_version":"1.0","canonical_sha256":"7fb6db895a60cb8632be81f1277f5791ad50d2aae940e3bf8c5e906445e8dec4","source":{"kind":"arxiv","id":"2003.05331","version":5},"attestation_state":"computed","paper":{"title":"A new method for faster and more accurate inference of species associations from big community data","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["q-bio.PE","stat.AP","stat.CO"],"primary_cat":"q-bio.QM","authors_text":"Florian Hartig, Maximilian Pichler","submitted_at":"2020-03-11T14:37:02Z","abstract_excerpt":"1. Joint Species Distribution models (JSDMs) explain spatial variation in community composition by contributions of the environment, biotic associations, and possibly spatially structured residual covariance. They show great promise as a general analytical framework for community ecology and macroecology, but current JSDMs, even when approximated by latent variables, scale poorly on large datasets, limiting their usefulness for currently emerging big (e.g., metabarcoding and metagenomics) community datasets. 2. Here, we present a novel, more scalable JSDM (sjSDM) that circumvents the need to u"},"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":"2003.05331","kind":"arxiv","version":5},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"q-bio.QM","submitted_at":"2020-03-11T14:37:02Z","cross_cats_sorted":["q-bio.PE","stat.AP","stat.CO"],"title_canon_sha256":"f237ba76c898e6ae5dd4d1893e19d1ece1b9077e2d7629dc1dcfc53bc111c2c0","abstract_canon_sha256":"a58618eb4c578eb898f3f41a44e9239bd62eea771b9f4458dcd804376959da22"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:54:25.218014Z","signature_b64":"9L5m2ptS8IMWArpzPBOYs4X0NprQEh+Lh6P/SfJ3AHmEOWjt9IM9pQ1MnBPxTyIj+tGzR31LhxTZKnYu3mFmCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7fb6db895a60cb8632be81f1277f5791ad50d2aae940e3bf8c5e906445e8dec4","last_reissued_at":"2026-07-05T05:54:25.217523Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:54:25.217523Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"A new method for faster and more accurate inference of species associations from big community data","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["q-bio.PE","stat.AP","stat.CO"],"primary_cat":"q-bio.QM","authors_text":"Florian Hartig, Maximilian Pichler","submitted_at":"2020-03-11T14:37:02Z","abstract_excerpt":"1. Joint Species Distribution models (JSDMs) explain spatial variation in community composition by contributions of the environment, biotic associations, and possibly spatially structured residual covariance. They show great promise as a general analytical framework for community ecology and macroecology, but current JSDMs, even when approximated by latent variables, scale poorly on large datasets, limiting their usefulness for currently emerging big (e.g., metabarcoding and metagenomics) community datasets. 2. Here, we present a novel, more scalable JSDM (sjSDM) that circumvents the need to u"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2003.05331","kind":"arxiv","version":5},"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/2003.05331/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":"2003.05331","created_at":"2026-07-05T05:54:25.217582+00:00"},{"alias_kind":"arxiv_version","alias_value":"2003.05331v5","created_at":"2026-07-05T05:54:25.217582+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2003.05331","created_at":"2026-07-05T05:54:25.217582+00:00"},{"alias_kind":"pith_short_12","alias_value":"P63NXCK2MDFY","created_at":"2026-07-05T05:54:25.217582+00:00"},{"alias_kind":"pith_short_16","alias_value":"P63NXCK2MDFYMMV6","created_at":"2026-07-05T05:54:25.217582+00:00"},{"alias_kind":"pith_short_8","alias_value":"P63NXCK2","created_at":"2026-07-05T05:54:25.217582+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/P63NXCK2MDFYMMV6QHYSO72XSG","json":"https://pith.science/pith/P63NXCK2MDFYMMV6QHYSO72XSG.json","graph_json":"https://pith.science/api/pith-number/P63NXCK2MDFYMMV6QHYSO72XSG/graph.json","events_json":"https://pith.science/api/pith-number/P63NXCK2MDFYMMV6QHYSO72XSG/events.json","paper":"https://pith.science/paper/P63NXCK2"},"agent_actions":{"view_html":"https://pith.science/pith/P63NXCK2MDFYMMV6QHYSO72XSG","download_json":"https://pith.science/pith/P63NXCK2MDFYMMV6QHYSO72XSG.json","view_paper":"https://pith.science/paper/P63NXCK2","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2003.05331&json=true","fetch_graph":"https://pith.science/api/pith-number/P63NXCK2MDFYMMV6QHYSO72XSG/graph.json","fetch_events":"https://pith.science/api/pith-number/P63NXCK2MDFYMMV6QHYSO72XSG/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/P63NXCK2MDFYMMV6QHYSO72XSG/action/timestamp_anchor","attest_storage":"https://pith.science/pith/P63NXCK2MDFYMMV6QHYSO72XSG/action/storage_attestation","attest_author":"https://pith.science/pith/P63NXCK2MDFYMMV6QHYSO72XSG/action/author_attestation","sign_citation":"https://pith.science/pith/P63NXCK2MDFYMMV6QHYSO72XSG/action/citation_signature","submit_replication":"https://pith.science/pith/P63NXCK2MDFYMMV6QHYSO72XSG/action/replication_record"}},"created_at":"2026-07-05T05:54:25.217582+00:00","updated_at":"2026-07-05T05:54:25.217582+00:00"}