{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:GNKHU4JUI3VFIQTFTZ7G7INOXM","short_pith_number":"pith:GNKHU4JU","schema_version":"1.0","canonical_sha256":"33547a713446ea5442659e7e6fa1aebb28ac0798e72109d36032658cb7bfda37","source":{"kind":"arxiv","id":"2506.08976","version":2},"attestation_state":"computed","paper":{"title":"Yau-YauAL: A computer tool for solving nonlinear filtering problems","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"stat.AP","authors_text":"Rongling Wu, Shing-Tung Yau, Shuyuan Xu, Stephen Shing-Toung Yau, Xinrui Luo, Xueda Wei, Yu Wang","submitted_at":"2025-06-10T16:45:54Z","abstract_excerpt":"The Yau-Yau nonlinear filter has increasingly emerged as a powerful tool to study stochastic complex systems. To leverage it to a wider spectrum of application scenarios, we pack the Yau-Yau filtering ALgorithms (YauYauAL) into a package of computer software. Yau-YauAL was written in R, designed to simplify the implementation of the Yau-Yau filter for solving nonlinear filtering problems. Combining R's accessibility with C++ (via Rcpp) for computational efficiency, YauYauAL provides an intuitive Shiny-based interface that enables real-time parameter adjustment and result visualization. At its "},"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":"2506.08976","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.AP","submitted_at":"2025-06-10T16:45:54Z","cross_cats_sorted":[],"title_canon_sha256":"ea6f4bc9aaee78634de1730e8a42e8af2c14a6ff6c55d153a61c4ffa2e7844e7","abstract_canon_sha256":"0e229eb45b7f5e6410a60ce37d60d230dacf814154739c20f858b90fffb40851"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:19:30.274242Z","signature_b64":"UcMdXD7hMRXs4kwSIpF1KEYheuSbDpzRmcQU9D8TTdEvRWaZpLDsxmw8GIi4eojYmDNxRy4gpiPpOz6wAWUcDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"33547a713446ea5442659e7e6fa1aebb28ac0798e72109d36032658cb7bfda37","last_reissued_at":"2026-07-05T11:19:30.273780Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:19:30.273780Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Yau-YauAL: A computer tool for solving nonlinear filtering problems","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"stat.AP","authors_text":"Rongling Wu, Shing-Tung Yau, Shuyuan Xu, Stephen Shing-Toung Yau, Xinrui Luo, Xueda Wei, Yu Wang","submitted_at":"2025-06-10T16:45:54Z","abstract_excerpt":"The Yau-Yau nonlinear filter has increasingly emerged as a powerful tool to study stochastic complex systems. To leverage it to a wider spectrum of application scenarios, we pack the Yau-Yau filtering ALgorithms (YauYauAL) into a package of computer software. Yau-YauAL was written in R, designed to simplify the implementation of the Yau-Yau filter for solving nonlinear filtering problems. Combining R's accessibility with C++ (via Rcpp) for computational efficiency, YauYauAL provides an intuitive Shiny-based interface that enables real-time parameter adjustment and result visualization. At its "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.08976","kind":"arxiv","version":2},"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/2506.08976/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":"2506.08976","created_at":"2026-07-05T11:19:30.273840+00:00"},{"alias_kind":"arxiv_version","alias_value":"2506.08976v2","created_at":"2026-07-05T11:19:30.273840+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.08976","created_at":"2026-07-05T11:19:30.273840+00:00"},{"alias_kind":"pith_short_12","alias_value":"GNKHU4JUI3VF","created_at":"2026-07-05T11:19:30.273840+00:00"},{"alias_kind":"pith_short_16","alias_value":"GNKHU4JUI3VFIQTF","created_at":"2026-07-05T11:19:30.273840+00:00"},{"alias_kind":"pith_short_8","alias_value":"GNKHU4JU","created_at":"2026-07-05T11:19:30.273840+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/GNKHU4JUI3VFIQTFTZ7G7INOXM","json":"https://pith.science/pith/GNKHU4JUI3VFIQTFTZ7G7INOXM.json","graph_json":"https://pith.science/api/pith-number/GNKHU4JUI3VFIQTFTZ7G7INOXM/graph.json","events_json":"https://pith.science/api/pith-number/GNKHU4JUI3VFIQTFTZ7G7INOXM/events.json","paper":"https://pith.science/paper/GNKHU4JU"},"agent_actions":{"view_html":"https://pith.science/pith/GNKHU4JUI3VFIQTFTZ7G7INOXM","download_json":"https://pith.science/pith/GNKHU4JUI3VFIQTFTZ7G7INOXM.json","view_paper":"https://pith.science/paper/GNKHU4JU","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2506.08976&json=true","fetch_graph":"https://pith.science/api/pith-number/GNKHU4JUI3VFIQTFTZ7G7INOXM/graph.json","fetch_events":"https://pith.science/api/pith-number/GNKHU4JUI3VFIQTFTZ7G7INOXM/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/GNKHU4JUI3VFIQTFTZ7G7INOXM/action/timestamp_anchor","attest_storage":"https://pith.science/pith/GNKHU4JUI3VFIQTFTZ7G7INOXM/action/storage_attestation","attest_author":"https://pith.science/pith/GNKHU4JUI3VFIQTFTZ7G7INOXM/action/author_attestation","sign_citation":"https://pith.science/pith/GNKHU4JUI3VFIQTFTZ7G7INOXM/action/citation_signature","submit_replication":"https://pith.science/pith/GNKHU4JUI3VFIQTFTZ7G7INOXM/action/replication_record"}},"created_at":"2026-07-05T11:19:30.273840+00:00","updated_at":"2026-07-05T11:19:30.273840+00:00"}