{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:SSRE7PIZE2BBIU6FZKW7GGU2EP","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":"f078ddd3c67515a4fbc101809eb2110472b51d05695601175e5a49291461ef57","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-07-30T00:27:18Z","title_canon_sha256":"31112bac1fce3a65dfbc5f77de5ca4392df699bd1fbb4f34b4ab661ed188b595"},"schema_version":"1.0","source":{"id":"2507.22303","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.22303","created_at":"2026-07-05T11:46:23Z"},{"alias_kind":"arxiv_version","alias_value":"2507.22303v2","created_at":"2026-07-05T11:46:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.22303","created_at":"2026-07-05T11:46:23Z"},{"alias_kind":"pith_short_12","alias_value":"SSRE7PIZE2BB","created_at":"2026-07-05T11:46:23Z"},{"alias_kind":"pith_short_16","alias_value":"SSRE7PIZE2BBIU6F","created_at":"2026-07-05T11:46:23Z"},{"alias_kind":"pith_short_8","alias_value":"SSRE7PIZ","created_at":"2026-07-05T11:46:23Z"}],"graph_snapshots":[{"event_id":"sha256:00766d0e00599bac1b179cffead46bf31acc69061cf6508451fcae9fb4f1af05","target":"graph","created_at":"2026-07-05T11:46:23Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2507.22303/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We present CS-SHRED, a novel deep learning architecture that integrates Compressed Sensing (CS) into a Shallow Recurrent Decoder (SHRED) to reconstruct spatiotemporal dynamics from incomplete, compressed, or corrupted data. Our approach introduces two key innovations. First, by incorporating CS techniques into the SHRED architecture, our method leverages a batch-based forward framework with $\\ell_1$ regularization to robustly recover signals even in scenarios with sparse sensor placements, noisy measurements, and incomplete sensor acquisitions. Second, an adaptive loss function dynamically com","authors_text":"C\\'assio M. Oishi, Diego Passos, J. Nathan Kutz, Romulo B. da Silva","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-07-30T00:27:18Z","title":"CS-SHRED: Enhancing SHRED for Robust Recovery of Spatiotemporal Dynamics"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.22303","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":"sha256:0cc05e7fa1e88981cdb440d9a639fbc791793f5de5827e11b6c9b03fccb68d51","target":"record","created_at":"2026-07-05T11:46:23Z","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":"f078ddd3c67515a4fbc101809eb2110472b51d05695601175e5a49291461ef57","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-07-30T00:27:18Z","title_canon_sha256":"31112bac1fce3a65dfbc5f77de5ca4392df699bd1fbb4f34b4ab661ed188b595"},"schema_version":"1.0","source":{"id":"2507.22303","kind":"arxiv","version":2}},"canonical_sha256":"94a24fbd1926821453c5caadf31a9a23e00e893dd035c491d4222b10ee9c5963","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"94a24fbd1926821453c5caadf31a9a23e00e893dd035c491d4222b10ee9c5963","first_computed_at":"2026-07-05T11:46:23.733949Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:46:23.733949Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"nRMwLAAAAkVIN9FBWoSqBqI1p+ddGnIlgcfC245hW59KU00PgX2PIYffls7NOzc5iVKrU5D1fHzCZ+WQavMgCw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:46:23.734474Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.22303","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0cc05e7fa1e88981cdb440d9a639fbc791793f5de5827e11b6c9b03fccb68d51","sha256:00766d0e00599bac1b179cffead46bf31acc69061cf6508451fcae9fb4f1af05"],"state_sha256":"df2c8e9ef5e793ed880fc2a96565cddd9f8c2c92e5bd7a507efb37b98a2858bd"}