{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:MMNTMPWBVH3YWSV3WQN7IMJOGF","short_pith_number":"pith:MMNTMPWB","schema_version":"1.0","canonical_sha256":"631b363ec1a9f78b4abbb41bf4312e317e2546ed08f02a92a560f69fd8cdbc20","source":{"kind":"arxiv","id":"2509.04213","version":1},"attestation_state":"computed","paper":{"title":"Sailing Towards Zero-Shot State Estimation using Foundation Models Combined with a UKF","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","cs.SY"],"primary_cat":"eess.SY","authors_text":"Andres Posada-Moreno, David Stenger, Friedrich Solowjow, Sebastian Trimpe, Tobin Holtmann","submitted_at":"2025-09-04T13:38:54Z","abstract_excerpt":"State estimation in control and systems engineering traditionally requires extensive manual system identification or data-collection effort. However, transformer-based foundation models in other domains have reduced data requirements by leveraging pre-trained generalist models. Ultimately, developing zero-shot foundation models of system dynamics could drastically reduce manual deployment effort. While recent work shows that transformer-based end-to-end approaches can achieve zero-shot performance on unseen systems, they are limited to sensor models seen during training. We introduce the found"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2509.04213","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SY","submitted_at":"2025-09-04T13:38:54Z","cross_cats_sorted":["cs.LG","cs.SY"],"title_canon_sha256":"0d5c03bea070b56622e2ad36a65cba04c9a60454d9b8713671ca5dac584c51af","abstract_canon_sha256":"fb46643f40102c2f28d996412a8c8b47c5449cd6d519945c1c83a2e696838fc2"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T12:04:55.582889Z","signature_b64":"ssQAcwP9LxeS1yV50rFaka4aymW+oErLv5JR70xZECFI8UHqY5YhcfvLKHryk2pjKYGSRZ5Vkz2vLhl5FN8EDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"631b363ec1a9f78b4abbb41bf4312e317e2546ed08f02a92a560f69fd8cdbc20","last_reissued_at":"2026-07-05T12:04:55.582179Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T12:04:55.582179Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Sailing Towards Zero-Shot State Estimation using Foundation Models Combined with a UKF","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","cs.SY"],"primary_cat":"eess.SY","authors_text":"Andres Posada-Moreno, David Stenger, Friedrich Solowjow, Sebastian Trimpe, Tobin Holtmann","submitted_at":"2025-09-04T13:38:54Z","abstract_excerpt":"State estimation in control and systems engineering traditionally requires extensive manual system identification or data-collection effort. However, transformer-based foundation models in other domains have reduced data requirements by leveraging pre-trained generalist models. Ultimately, developing zero-shot foundation models of system dynamics could drastically reduce manual deployment effort. While recent work shows that transformer-based end-to-end approaches can achieve zero-shot performance on unseen systems, they are limited to sensor models seen during training. We introduce the found"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.04213","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2509.04213/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"2509.04213","created_at":"2026-07-05T12:04:55.582264+00:00"},{"alias_kind":"arxiv_version","alias_value":"2509.04213v1","created_at":"2026-07-05T12:04:55.582264+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.04213","created_at":"2026-07-05T12:04:55.582264+00:00"},{"alias_kind":"pith_short_12","alias_value":"MMNTMPWBVH3Y","created_at":"2026-07-05T12:04:55.582264+00:00"},{"alias_kind":"pith_short_16","alias_value":"MMNTMPWBVH3YWSV3","created_at":"2026-07-05T12:04:55.582264+00:00"},{"alias_kind":"pith_short_8","alias_value":"MMNTMPWB","created_at":"2026-07-05T12:04:55.582264+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/MMNTMPWBVH3YWSV3WQN7IMJOGF","json":"https://pith.science/pith/MMNTMPWBVH3YWSV3WQN7IMJOGF.json","graph_json":"https://pith.science/api/pith-number/MMNTMPWBVH3YWSV3WQN7IMJOGF/graph.json","events_json":"https://pith.science/api/pith-number/MMNTMPWBVH3YWSV3WQN7IMJOGF/events.json","paper":"https://pith.science/paper/MMNTMPWB"},"agent_actions":{"view_html":"https://pith.science/pith/MMNTMPWBVH3YWSV3WQN7IMJOGF","download_json":"https://pith.science/pith/MMNTMPWBVH3YWSV3WQN7IMJOGF.json","view_paper":"https://pith.science/paper/MMNTMPWB","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2509.04213&json=true","fetch_graph":"https://pith.science/api/pith-number/MMNTMPWBVH3YWSV3WQN7IMJOGF/graph.json","fetch_events":"https://pith.science/api/pith-number/MMNTMPWBVH3YWSV3WQN7IMJOGF/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/MMNTMPWBVH3YWSV3WQN7IMJOGF/action/timestamp_anchor","attest_storage":"https://pith.science/pith/MMNTMPWBVH3YWSV3WQN7IMJOGF/action/storage_attestation","attest_author":"https://pith.science/pith/MMNTMPWBVH3YWSV3WQN7IMJOGF/action/author_attestation","sign_citation":"https://pith.science/pith/MMNTMPWBVH3YWSV3WQN7IMJOGF/action/citation_signature","submit_replication":"https://pith.science/pith/MMNTMPWBVH3YWSV3WQN7IMJOGF/action/replication_record"}},"created_at":"2026-07-05T12:04:55.582264+00:00","updated_at":"2026-07-05T12:04:55.582264+00:00"}