{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2015:VH4BK3KZ6RGPJ72ZCCUIWWQEDA","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":"1ad589b9778a0d3645cf1f27cabcf169d8e7977907971b74df5417091e743486","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2015-01-29T01:01:34Z","title_canon_sha256":"a3286051f1c53d141e98aa85aaee6b39a1d126f983c7031b3cace3605fdf1045"},"schema_version":"1.0","source":{"id":"1501.07320","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1501.07320","created_at":"2026-05-18T02:05:23Z"},{"alias_kind":"arxiv_version","alias_value":"1501.07320v2","created_at":"2026-05-18T02:05:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1501.07320","created_at":"2026-05-18T02:05:23Z"},{"alias_kind":"pith_short_12","alias_value":"VH4BK3KZ6RGP","created_at":"2026-05-18T12:29:44Z"},{"alias_kind":"pith_short_16","alias_value":"VH4BK3KZ6RGPJ72Z","created_at":"2026-05-18T12:29:44Z"},{"alias_kind":"pith_short_8","alias_value":"VH4BK3KZ","created_at":"2026-05-18T12:29:44Z"}],"graph_snapshots":[{"event_id":"sha256:e3a5deb3623c5023ff7de153aabb2d6f549d395d7dc791fadcdf666dd8ebfe4d","target":"graph","created_at":"2026-05-18T02:05:23Z","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":"Tensor factorization arises in many machine learning applications, such knowledge base modeling and parameter estimation in latent variable models. However, numerical methods for tensor factorization have not reached the level of maturity of matrix factorization methods. In this paper, we propose a new method for CP tensor factorization that uses random projections to reduce the problem to simultaneous matrix diagonalization. Our method is conceptually simple and also applies to non-orthogonal and asymmetric tensors of arbitrary order. We prove that a small number random projections essentiall","authors_text":"Arun Tejasvi Chaganty, Percy Liang, Volodymyr Kuleshov","cross_cats":["stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2015-01-29T01:01:34Z","title":"Tensor Factorization via Matrix Factorization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1501.07320","kind":"arxiv","version":2},"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":"sha256:3c273744a54b9d47487f173ffb9e1dbb05814f8ca7ecd600a6ad85a225c697ab","target":"record","created_at":"2026-05-18T02:05:23Z","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":"1ad589b9778a0d3645cf1f27cabcf169d8e7977907971b74df5417091e743486","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2015-01-29T01:01:34Z","title_canon_sha256":"a3286051f1c53d141e98aa85aaee6b39a1d126f983c7031b3cace3605fdf1045"},"schema_version":"1.0","source":{"id":"1501.07320","kind":"arxiv","version":2}},"canonical_sha256":"a9f8156d59f44cf4ff5910a88b5a041802e51fbf111e188bd4936abd6804413e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a9f8156d59f44cf4ff5910a88b5a041802e51fbf111e188bd4936abd6804413e","first_computed_at":"2026-05-18T02:05:23.780259Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T02:05:23.780259Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"xckkBS3sdFvdk2A9L1vSkmUbGOV5l27/4Z/z8TBxHX1WdsWlhpcuYlXuPoK4GtDsPSucRD1261prfXEcoxDgBg==","signature_status":"signed_v1","signed_at":"2026-05-18T02:05:23.780721Z","signed_message":"canonical_sha256_bytes"},"source_id":"1501.07320","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3c273744a54b9d47487f173ffb9e1dbb05814f8ca7ecd600a6ad85a225c697ab","sha256:e3a5deb3623c5023ff7de153aabb2d6f549d395d7dc791fadcdf666dd8ebfe4d"],"state_sha256":"9a3cf196377436e01aec1b72c294fbd82188924bdda885d228f1c6e75db035ce"}