{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:2R5UMCTQAQOVLX2PM5YELGU7HY","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":"c9ea816161615c518a04f5ffbf7a02ccc0608dd1f2f05a20b1d6984198baf597","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-03-30T10:01:58Z","title_canon_sha256":"33f9ec10c3fe5c02ba720edbc9c633a729578396e7e637f3a8c48e941019cea2"},"schema_version":"1.0","source":{"id":"2303.17264","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2303.17264","created_at":"2026-07-05T05:56:32Z"},{"alias_kind":"arxiv_version","alias_value":"2303.17264v1","created_at":"2026-07-05T05:56:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2303.17264","created_at":"2026-07-05T05:56:32Z"},{"alias_kind":"pith_short_12","alias_value":"2R5UMCTQAQOV","created_at":"2026-07-05T05:56:32Z"},{"alias_kind":"pith_short_16","alias_value":"2R5UMCTQAQOVLX2P","created_at":"2026-07-05T05:56:32Z"},{"alias_kind":"pith_short_8","alias_value":"2R5UMCTQ","created_at":"2026-07-05T05:56:32Z"}],"graph_snapshots":[{"event_id":"sha256:bae8c60c90ac2ab9f0f63687118f7bdc7a6169b6e0acd04069402ad8f119eb11","target":"graph","created_at":"2026-07-05T05:56:32Z","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/2303.17264/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Disentangling complex data to its latent factors of variation is a fundamental task in representation learning. Existing work on sequential disentanglement mostly provides two factor representations, i.e., it separates the data to time-varying and time-invariant factors. In contrast, we consider multifactor disentanglement in which multiple (more than two) semantic disentangled components are generated. Key to our approach is a strong inductive bias where we assume that the underlying dynamics can be represented linearly in the latent space. Under this assumption, it becomes natural to exploit","authors_text":"Ilan Naiman, Nimrod Berman, Omri Azencot","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-03-30T10:01:58Z","title":"Multifactor Sequential Disentanglement via Structured Koopman Autoencoders"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2303.17264","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":"sha256:0c84f4e5438daec4225297ec6f90380d7d09aa83b9ac3db55f58c7c8a2684118","target":"record","created_at":"2026-07-05T05:56:32Z","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":"c9ea816161615c518a04f5ffbf7a02ccc0608dd1f2f05a20b1d6984198baf597","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-03-30T10:01:58Z","title_canon_sha256":"33f9ec10c3fe5c02ba720edbc9c633a729578396e7e637f3a8c48e941019cea2"},"schema_version":"1.0","source":{"id":"2303.17264","kind":"arxiv","version":1}},"canonical_sha256":"d47b460a70041d55df4f6770459a9f3e1fba541b14f5a76d6b4f92fdf9770b36","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d47b460a70041d55df4f6770459a9f3e1fba541b14f5a76d6b4f92fdf9770b36","first_computed_at":"2026-07-05T05:56:32.184433Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:56:32.184433Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"P5k+CTJtKhak7OMkD/b21lImBzdu9I4btoLcu5AtWFIzHfu01lLw1nuZ9Zm5MwMLyJCpJ8HEvAG/cjmBMZzJBw==","signature_status":"signed_v1","signed_at":"2026-07-05T05:56:32.184883Z","signed_message":"canonical_sha256_bytes"},"source_id":"2303.17264","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0c84f4e5438daec4225297ec6f90380d7d09aa83b9ac3db55f58c7c8a2684118","sha256:bae8c60c90ac2ab9f0f63687118f7bdc7a6169b6e0acd04069402ad8f119eb11"],"state_sha256":"3064a25c2b0515b89361e6e9c03b2865e5f0194eff41e858748f4bef81066245"}