{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:L4RZN5GUMGKV5RWGM67UGTFOOR","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"2e45c58466ccad04026ab4b802ccdde2fee861ff1f607027af66567072f82d51","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2016-10-13T17:14:33Z","title_canon_sha256":"10b455aeada6237c52180ca9606bac44a6450b838aea09b4480137440559d5f1"},"schema_version":"1.0","source":{"id":"1610.04181","kind":"arxiv","version":6}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1610.04181","created_at":"2026-05-18T00:26:30Z"},{"alias_kind":"arxiv_version","alias_value":"1610.04181v6","created_at":"2026-05-18T00:26:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1610.04181","created_at":"2026-05-18T00:26:30Z"},{"alias_kind":"pith_short_12","alias_value":"L4RZN5GUMGKV","created_at":"2026-05-18T12:30:29Z"},{"alias_kind":"pith_short_16","alias_value":"L4RZN5GUMGKV5RWG","created_at":"2026-05-18T12:30:29Z"},{"alias_kind":"pith_short_8","alias_value":"L4RZN5GU","created_at":"2026-05-18T12:30:29Z"}],"graph_snapshots":[{"event_id":"sha256:606d0f1acec95ae8c845018697098c6a941461e8d99830c6d36d05063557560e","target":"graph","created_at":"2026-05-18T00:26:30Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"paper":{"abstract_excerpt":"Sources of variability in experimentally derived data include measurement error in addition to the physical phenomena of interest. This measurement error is a combination of systematic components, originating from the measuring instrument, and random measurement errors. Several novel biological technologies, such as mass cytometry and single-cell RNA-seq, are plagued with systematic errors that may severely affect statistical analysis if the data is not properly calibrated. We propose a novel deep learning approach for removing systematic batch effects. Our method is based on a residual networ","authors_text":"Huamin Li, Jun Zhao, Kelly P. Stanton, Khadir Raddassi, Ruth Montgomery, Uri Shaham, Yuval Kluger","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2016-10-13T17:14:33Z","title":"Removal of Batch Effects using Distribution-Matching Residual Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1610.04181","kind":"arxiv","version":6},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:a4f9e168d47c66bf697275e2976804f58dd2aebdd49b7edf0332725cad7d21ee","target":"record","created_at":"2026-05-18T00:26:30Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"2e45c58466ccad04026ab4b802ccdde2fee861ff1f607027af66567072f82d51","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2016-10-13T17:14:33Z","title_canon_sha256":"10b455aeada6237c52180ca9606bac44a6450b838aea09b4480137440559d5f1"},"schema_version":"1.0","source":{"id":"1610.04181","kind":"arxiv","version":6}},"canonical_sha256":"5f2396f4d461955ec6c667bf434cae74634192bae922a0bf97bd0e8b602d2086","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5f2396f4d461955ec6c667bf434cae74634192bae922a0bf97bd0e8b602d2086","first_computed_at":"2026-05-18T00:26:30.662258Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:26:30.662258Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Jqa6we7Yd2fAoMA1OG/xHReWFLT2HapuL5BDBxOzYjTiw+I11Kzh2FByuOl7AwGIr5PtyJY/KOvXa8wcIcwOCw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:26:30.663030Z","signed_message":"canonical_sha256_bytes"},"source_id":"1610.04181","source_kind":"arxiv","source_version":6}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a4f9e168d47c66bf697275e2976804f58dd2aebdd49b7edf0332725cad7d21ee","sha256:606d0f1acec95ae8c845018697098c6a941461e8d99830c6d36d05063557560e"],"state_sha256":"5f3ea8c06c7fa6a92a6c73fd3b9791d07ca48466889c92e500e2606388c802c0"}