{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:QYKWEYCFIR3E5V6ITPFUN6XR3B","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":"1a64a27a2b566e20db45a5559ead18f02c3f2f93014d53e2807c79367927d0a4","cross_cats_sorted":["math.DS"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2024-08-27T18:06:45Z","title_canon_sha256":"8f7c5efb9980441f036a596bcbaa43f7101ecf365f62c7055854ab895f6106a8"},"schema_version":"1.0","source":{"id":"2408.15344","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2408.15344","created_at":"2026-06-08T01:03:41Z"},{"alias_kind":"arxiv_version","alias_value":"2408.15344v2","created_at":"2026-06-08T01:03:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.15344","created_at":"2026-06-08T01:03:41Z"},{"alias_kind":"pith_short_12","alias_value":"QYKWEYCFIR3E","created_at":"2026-06-08T01:03:41Z"},{"alias_kind":"pith_short_16","alias_value":"QYKWEYCFIR3E5V6I","created_at":"2026-06-08T01:03:41Z"},{"alias_kind":"pith_short_8","alias_value":"QYKWEYCF","created_at":"2026-06-08T01:03:41Z"}],"graph_snapshots":[{"event_id":"sha256:94bd1b60c3a6ef1d5d1c2db14d91c30ded3e7c553a423a50e544339ec6d8724a","target":"graph","created_at":"2026-06-08T01:03:41Z","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/2408.15344/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Many scientific and engineering problems involve observing a common phenomenon through multiple heterogeneous sensors or measurement modalities. Such observations typically contain both information shared across sensors, reflecting the underlying system, and sensor-specific or extraneous components arising from measurement processes or environmental effects. Disentangling these contributions is essential when sensor-independent observations are unavailable. We propose a neural autoencoder framework that explicitly separates shared and sensor-specific latent variables from multi-sensor data. Th","authors_text":"Dimitris G. Giovanis, Eleni D. Koronaki, George A. Kevrekidis, Yannis G. Kevrekidis","cross_cats":["math.DS"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2024-08-27T18:06:45Z","title":"Conformal Disentanglement and Latent-Space Curation: A Neural Framework for Perspective Synthesis, Differentiation and Targeted Generation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.15344","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:e12bc760e889740a9323af2258c964c51360a49e9838090ba96279aa2bb21294","target":"record","created_at":"2026-06-08T01:03:41Z","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":"1a64a27a2b566e20db45a5559ead18f02c3f2f93014d53e2807c79367927d0a4","cross_cats_sorted":["math.DS"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2024-08-27T18:06:45Z","title_canon_sha256":"8f7c5efb9980441f036a596bcbaa43f7101ecf365f62c7055854ab895f6106a8"},"schema_version":"1.0","source":{"id":"2408.15344","kind":"arxiv","version":2}},"canonical_sha256":"861562604544764ed7c89bcb46faf1d849a45b791c0b4c60c37f1cdce49d5ae0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"861562604544764ed7c89bcb46faf1d849a45b791c0b4c60c37f1cdce49d5ae0","first_computed_at":"2026-06-08T01:03:41.847041Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-08T01:03:41.847041Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"WqQ+XuhulOiTcgtIJc69EuZd/sLujTNO/g3KevdU62wiS40jPNfTqwNnMkmPLgKm9hTlkP+P57/RArxCxjKvDA==","signature_status":"signed_v1","signed_at":"2026-06-08T01:03:41.848153Z","signed_message":"canonical_sha256_bytes"},"source_id":"2408.15344","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e12bc760e889740a9323af2258c964c51360a49e9838090ba96279aa2bb21294","sha256:94bd1b60c3a6ef1d5d1c2db14d91c30ded3e7c553a423a50e544339ec6d8724a"],"state_sha256":"f301154b8232bc9d5f1602da6a52e90d4db85e5e41adf91815fff755ae9e1f60"}