{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:TYPV7VIHUAIPE6N3NNXFQLU26D","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":"eab6454d184682c386c25c969bc676a2b091a52f1ac76802da074b89932822d0","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-05-19T12:35:13Z","title_canon_sha256":"6735e9dcaa6d1195e746c06a2f1ba187ff697ab796f8123696cf5e3e75e103f4"},"schema_version":"1.0","source":{"id":"2605.20300","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.20300","created_at":"2026-05-21T00:04:24Z"},{"alias_kind":"arxiv_version","alias_value":"2605.20300v1","created_at":"2026-05-21T00:04:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.20300","created_at":"2026-05-21T00:04:24Z"},{"alias_kind":"pith_short_12","alias_value":"TYPV7VIHUAIP","created_at":"2026-05-21T00:04:24Z"},{"alias_kind":"pith_short_16","alias_value":"TYPV7VIHUAIPE6N3","created_at":"2026-05-21T00:04:24Z"},{"alias_kind":"pith_short_8","alias_value":"TYPV7VIH","created_at":"2026-05-21T00:04:24Z"}],"graph_snapshots":[{"event_id":"sha256:ee580944adfc29ff41ad431c3f6109997ab56b0663e8b6f46ab1ad233d5f69fe","target":"graph","created_at":"2026-05-21T00:04:24Z","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/2605.20300/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this paper, we propose a robust subspace-constrained quadratic model (SCQM) for learning low-dimensional structure from high-dimensional data. Building upon the subspace-constrained quadratic matrix factorization (SQMF) framework, the proposed model accommodates a broad class of noise distributions, including generalized Gaussian and radial Laplace models. This generalization enables reliable performance under both heavy-tailed and light-tailed noise, thereby substantially enhancing robustness across diverse data regimes. To efficiently address the resulting nonconvex optimization problem, ","authors_text":"Xiaohui Li, Zheng Zhai","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-05-19T12:35:13Z","title":"Robust Subspace-Constrained Quadratic Models for Low-Dimensional Structure Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.20300","kind":"arxiv","version":1},"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:dcf1a52d3914775e0ccc84687338900fb78a3d20b16f355991895057151a80e5","target":"record","created_at":"2026-05-21T00:04:24Z","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":"eab6454d184682c386c25c969bc676a2b091a52f1ac76802da074b89932822d0","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-05-19T12:35:13Z","title_canon_sha256":"6735e9dcaa6d1195e746c06a2f1ba187ff697ab796f8123696cf5e3e75e103f4"},"schema_version":"1.0","source":{"id":"2605.20300","kind":"arxiv","version":1}},"canonical_sha256":"9e1f5fd507a010f279bb6b6e582e9af0dff5b422bf2faa6fa43f5f2919f87786","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9e1f5fd507a010f279bb6b6e582e9af0dff5b422bf2faa6fa43f5f2919f87786","first_computed_at":"2026-05-21T00:04:24.468475Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-21T00:04:24.468475Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"9tIv+Kwjtxl1nU78rMOPn/vQM6M+9PSb4OgogsTUMDEGwPWWlIiisEhOnQH7ZetxiUDb1UOEcXT3QqwlpNYYCQ==","signature_status":"signed_v1","signed_at":"2026-05-21T00:04:24.468905Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.20300","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:dcf1a52d3914775e0ccc84687338900fb78a3d20b16f355991895057151a80e5","sha256:ee580944adfc29ff41ad431c3f6109997ab56b0663e8b6f46ab1ad233d5f69fe"],"state_sha256":"1b98482995f7053f6738a1d007e6059b090c7c4063bd7b516d339038f5536498"}