{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:YEF47RZ3QAOTBZ7EWZXX4BXNSM","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":"16dc04b3e083c420f64f416c6866487f35497ce921dd258133fcb1b800e9e31c","cross_cats_sorted":["cs.LG","cs.SY"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"eess.SY","submitted_at":"2026-06-01T14:03:22Z","title_canon_sha256":"e69782954c98ccefe97838eb0bfd0ef72462dcee7c9d058c48fb650783633b94"},"schema_version":"1.0","source":{"id":"2606.02278","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.02278","created_at":"2026-06-02T03:04:54Z"},{"alias_kind":"arxiv_version","alias_value":"2606.02278v1","created_at":"2026-06-02T03:04:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.02278","created_at":"2026-06-02T03:04:54Z"},{"alias_kind":"pith_short_12","alias_value":"YEF47RZ3QAOT","created_at":"2026-06-02T03:04:54Z"},{"alias_kind":"pith_short_16","alias_value":"YEF47RZ3QAOTBZ7E","created_at":"2026-06-02T03:04:54Z"},{"alias_kind":"pith_short_8","alias_value":"YEF47RZ3","created_at":"2026-06-02T03:04:54Z"}],"graph_snapshots":[{"event_id":"sha256:9373ce1a34047eb86fb232d9f40b271f6e0e5cb4e6433da4421f10666594331d","target":"graph","created_at":"2026-06-02T03:04:54Z","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/2606.02278/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"State-space models are traditionally based on physical knowledge, but multi-step predictions from these physical models can be poor due to model inaccuracy. Black-box deep learning has shown promise as an alternative. However, these methods rely on the availability of large datasets and potentially available physical knowledge is neglected. We propose the PG-RSSNN, a physics-guided recurrent state-space neural network that incorporates recurrent structures to enable the use of non-saturating activation functions in multi-step prediction. It mitigates the vanishing gradients and eliminates the ","authors_text":"Ajay Seth, Manon Kok, Ruiyuan Li","cross_cats":["cs.LG","cs.SY"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"eess.SY","submitted_at":"2026-06-01T14:03:22Z","title":"Physics-Guided Recurrent State-Space Neural Networks for Multi-Step Prediction"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.02278","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":"sha256:02340fc2a590b43b3045f88c306c6bf135d4a9e6be2a19d516b1737f369ae180","target":"record","created_at":"2026-06-02T03:04:54Z","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":"16dc04b3e083c420f64f416c6866487f35497ce921dd258133fcb1b800e9e31c","cross_cats_sorted":["cs.LG","cs.SY"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"eess.SY","submitted_at":"2026-06-01T14:03:22Z","title_canon_sha256":"e69782954c98ccefe97838eb0bfd0ef72462dcee7c9d058c48fb650783633b94"},"schema_version":"1.0","source":{"id":"2606.02278","kind":"arxiv","version":1}},"canonical_sha256":"c10bcfc73b801d30e7e4b66f7e06ed930069e71e8974010ea4e53a32c210b582","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c10bcfc73b801d30e7e4b66f7e06ed930069e71e8974010ea4e53a32c210b582","first_computed_at":"2026-06-02T03:04:54.907535Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-02T03:04:54.907535Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"dWokqyiVVxp+o1sSBQVcxQ5RzaJKZM5EDmbIk+uBu1sX41ewWi5aZ9RwXBqARLA88HAIGKs4bReR5NyPtsMbAw==","signature_status":"signed_v1","signed_at":"2026-06-02T03:04:54.907876Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.02278","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:02340fc2a590b43b3045f88c306c6bf135d4a9e6be2a19d516b1737f369ae180","sha256:9373ce1a34047eb86fb232d9f40b271f6e0e5cb4e6433da4421f10666594331d"],"state_sha256":"e518381781ccc218d8b5ce924cf9a12b106bd9a0d0c29bb94c2bb3a24dfad876"}