{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:3TXASJLVKSWU7ISXNRTXGHWKOV","short_pith_number":"pith:3TXASJLV","schema_version":"1.0","canonical_sha256":"dcee09257554ad4fa2576c67731eca755bca2ab49f6a497513f6340699980662","source":{"kind":"arxiv","id":"2605.29587","version":1},"attestation_state":"computed","paper":{"title":"FPLIER: Federated Pathway-Level Information Extractor","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"q-bio.QM","authors_text":"Christian Berchtold, Daniele Malpetti, Francesca Mangili, Francesco Gualdi, Laura Azzimonti, Marco Scutari","submitted_at":"2026-05-28T08:30:23Z","abstract_excerpt":"In transcriptomics, gene-set-aware factorization methods such as the Pathway Level Information Extractor (PLIER) are most effective when trained on large, heterogeneous expression compendia. Yet, many clinically relevant cohorts cannot be pooled into a single dataset due to privacy and governance constraints. We present FPLIER, a federated extension of PLIER that enables distributed training across multiple data holders while incorporating publicly available datasets. Through secure aggregation, FPLIER produces training updates algebraically equivalent to those of a centralized pooled-data app"},"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":"2605.29587","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"q-bio.QM","submitted_at":"2026-05-28T08:30:23Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"df0a99c5bab152095acffe71faa28df0cec2f2978d0b637d1e513a4ef7350a1d","abstract_canon_sha256":"d4d56935378c30e19ed1d965d5ec1cf3b13f04c526d9490410f1520aad5e2125"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-29T01:05:49.210254Z","signature_b64":"A8+HgxILqOsxs4vXW81qA71UIFZKRTm3MfswswflFPbCTq+tWtad80z6S2qPL+0nwAexjNMNZpZrsj0XGguqDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"dcee09257554ad4fa2576c67731eca755bca2ab49f6a497513f6340699980662","last_reissued_at":"2026-05-29T01:05:49.209475Z","signature_status":"signed_v1","first_computed_at":"2026-05-29T01:05:49.209475Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"FPLIER: Federated Pathway-Level Information Extractor","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"q-bio.QM","authors_text":"Christian Berchtold, Daniele Malpetti, Francesca Mangili, Francesco Gualdi, Laura Azzimonti, Marco Scutari","submitted_at":"2026-05-28T08:30:23Z","abstract_excerpt":"In transcriptomics, gene-set-aware factorization methods such as the Pathway Level Information Extractor (PLIER) are most effective when trained on large, heterogeneous expression compendia. Yet, many clinically relevant cohorts cannot be pooled into a single dataset due to privacy and governance constraints. We present FPLIER, a federated extension of PLIER that enables distributed training across multiple data holders while incorporating publicly available datasets. Through secure aggregation, FPLIER produces training updates algebraically equivalent to those of a centralized pooled-data app"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.29587","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/2605.29587/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":"2605.29587","created_at":"2026-05-29T01:05:49.209603+00:00"},{"alias_kind":"arxiv_version","alias_value":"2605.29587v1","created_at":"2026-05-29T01:05:49.209603+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.29587","created_at":"2026-05-29T01:05:49.209603+00:00"},{"alias_kind":"pith_short_12","alias_value":"3TXASJLVKSWU","created_at":"2026-05-29T01:05:49.209603+00:00"},{"alias_kind":"pith_short_16","alias_value":"3TXASJLVKSWU7ISX","created_at":"2026-05-29T01:05:49.209603+00:00"},{"alias_kind":"pith_short_8","alias_value":"3TXASJLV","created_at":"2026-05-29T01:05:49.209603+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/3TXASJLVKSWU7ISXNRTXGHWKOV","json":"https://pith.science/pith/3TXASJLVKSWU7ISXNRTXGHWKOV.json","graph_json":"https://pith.science/api/pith-number/3TXASJLVKSWU7ISXNRTXGHWKOV/graph.json","events_json":"https://pith.science/api/pith-number/3TXASJLVKSWU7ISXNRTXGHWKOV/events.json","paper":"https://pith.science/paper/3TXASJLV"},"agent_actions":{"view_html":"https://pith.science/pith/3TXASJLVKSWU7ISXNRTXGHWKOV","download_json":"https://pith.science/pith/3TXASJLVKSWU7ISXNRTXGHWKOV.json","view_paper":"https://pith.science/paper/3TXASJLV","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2605.29587&json=true","fetch_graph":"https://pith.science/api/pith-number/3TXASJLVKSWU7ISXNRTXGHWKOV/graph.json","fetch_events":"https://pith.science/api/pith-number/3TXASJLVKSWU7ISXNRTXGHWKOV/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/3TXASJLVKSWU7ISXNRTXGHWKOV/action/timestamp_anchor","attest_storage":"https://pith.science/pith/3TXASJLVKSWU7ISXNRTXGHWKOV/action/storage_attestation","attest_author":"https://pith.science/pith/3TXASJLVKSWU7ISXNRTXGHWKOV/action/author_attestation","sign_citation":"https://pith.science/pith/3TXASJLVKSWU7ISXNRTXGHWKOV/action/citation_signature","submit_replication":"https://pith.science/pith/3TXASJLVKSWU7ISXNRTXGHWKOV/action/replication_record"}},"created_at":"2026-05-29T01:05:49.209603+00:00","updated_at":"2026-05-29T01:05:49.209603+00:00"}