{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:CVQGV3N7RNMNDE4XACEFRPY2Z4","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":"c220d16cdc6710d3d88f11ad4e39d0ccff19e2ba63a3ae988a0e3a8a094c0e49","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-11-04T10:00:27Z","title_canon_sha256":"2f68fc737437b23db3843564069427f662a5530d0836a0764dcb2d2c7137fb99"},"schema_version":"1.0","source":{"id":"2011.02203","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2011.02203","created_at":"2026-07-05T02:35:51Z"},{"alias_kind":"arxiv_version","alias_value":"2011.02203v4","created_at":"2026-07-05T02:35:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2011.02203","created_at":"2026-07-05T02:35:51Z"},{"alias_kind":"pith_short_12","alias_value":"CVQGV3N7RNMN","created_at":"2026-07-05T02:35:51Z"},{"alias_kind":"pith_short_16","alias_value":"CVQGV3N7RNMNDE4X","created_at":"2026-07-05T02:35:51Z"},{"alias_kind":"pith_short_8","alias_value":"CVQGV3N7","created_at":"2026-07-05T02:35:51Z"}],"graph_snapshots":[{"event_id":"sha256:203277fa85cc6bc101956a799b3ecc2729084c2d3348c4a72f2cb156957886dd","target":"graph","created_at":"2026-07-05T02:35:51Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2011.02203/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Current supervised learning can learn spurious correlation during the data-fitting process, imposing issues regarding interpretability, out-of-distribution (OOD) generalization, and robustness. To avoid spurious correlation, we propose a Latent Causal Invariance Model (LaCIM) which pursues causal prediction. Specifically, we introduce latent variables that are separated into (a) output-causative factors and (b) others that are spuriously correlated to the output via confounders, to model the underlying causal factors. We further assume the generating mechanisms from latent space to observed da","authors_text":"Botong Wu, Chang Liu, Tao Qin, Tie-Yan Liu, Wei Chen, Xiangyu Zheng, Xinwei Sun","cross_cats":["stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-11-04T10:00:27Z","title":"Latent Causal Invariant Model"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2011.02203","kind":"arxiv","version":4},"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:b163b375aa2bc7afbc8e2ce63e926cee00ebe4cc5852216ba089516d35dc4ed8","target":"record","created_at":"2026-07-05T02:35:51Z","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":"c220d16cdc6710d3d88f11ad4e39d0ccff19e2ba63a3ae988a0e3a8a094c0e49","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-11-04T10:00:27Z","title_canon_sha256":"2f68fc737437b23db3843564069427f662a5530d0836a0764dcb2d2c7137fb99"},"schema_version":"1.0","source":{"id":"2011.02203","kind":"arxiv","version":4}},"canonical_sha256":"15606aedbf8b58d19397008858bf1acf1a1cb0bf0ead0b4fa497f4527cd90ae1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"15606aedbf8b58d19397008858bf1acf1a1cb0bf0ead0b4fa497f4527cd90ae1","first_computed_at":"2026-07-05T02:35:51.750938Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:35:51.750938Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"L3qQsVOBXoT+jFiNFVP0VDsqAcUJyJK56p9sedSufmBUiJDZ+OmWlDNUaxix3NdFU3Wg+EIZ7xojwg5SoNMiAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T02:35:51.751424Z","signed_message":"canonical_sha256_bytes"},"source_id":"2011.02203","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b163b375aa2bc7afbc8e2ce63e926cee00ebe4cc5852216ba089516d35dc4ed8","sha256:203277fa85cc6bc101956a799b3ecc2729084c2d3348c4a72f2cb156957886dd"],"state_sha256":"88b3d2aef9a198d3e04075cbd3ba79f42abd2ddf16c1ca033e4bed6f1bb0996b"}