{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:FNVKTO7GDIAFKFVU3T3JUQV7DT","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":"89bdaff8f73f9105391852d8665dd846d6c1abfdd82d77b5a2ebd8bc0072284d","cross_cats_sorted":["eess.SP"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-03-03T12:23:17Z","title_canon_sha256":"3e14efed7c10830c2b06156a6f97c4b371652cc5e39f9f02501054bc9f23e8e3"},"schema_version":"1.0","source":{"id":"2403.01499","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.01499","created_at":"2026-07-05T09:56:49Z"},{"alias_kind":"arxiv_version","alias_value":"2403.01499v2","created_at":"2026-07-05T09:56:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.01499","created_at":"2026-07-05T09:56:49Z"},{"alias_kind":"pith_short_12","alias_value":"FNVKTO7GDIAF","created_at":"2026-07-05T09:56:49Z"},{"alias_kind":"pith_short_16","alias_value":"FNVKTO7GDIAFKFVU","created_at":"2026-07-05T09:56:49Z"},{"alias_kind":"pith_short_8","alias_value":"FNVKTO7G","created_at":"2026-07-05T09:56:49Z"}],"graph_snapshots":[{"event_id":"sha256:c11bb4330b5a6744517ad218594dce084432a8f5fc9ff6045a02351fb5fe9d89","target":"graph","created_at":"2026-07-05T09:56:49Z","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/2403.01499/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recently, there has been a surge of interest in incorporating neural networks into particle filters, e.g. differentiable particle filters, to perform joint sequential state estimation and model learning for non-linear non-Gaussian state-space models in complex environments. Existing differentiable particle filters are mostly constructed with vanilla neural networks that do not allow density estimation. As a result, they are either restricted to a bootstrap particle filtering framework or employ predefined distribution families (e.g. Gaussian distributions), limiting their performance in more c","authors_text":"Xiongjie Chen, Yunpeng Li","cross_cats":["eess.SP"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-03-03T12:23:17Z","title":"Normalizing Flow-based Differentiable Particle Filters"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.01499","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:f77c93262f98208fd1b3f913fd00de494ef4c87faeef5a250fe6cdba321ceea4","target":"record","created_at":"2026-07-05T09:56:49Z","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":"89bdaff8f73f9105391852d8665dd846d6c1abfdd82d77b5a2ebd8bc0072284d","cross_cats_sorted":["eess.SP"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-03-03T12:23:17Z","title_canon_sha256":"3e14efed7c10830c2b06156a6f97c4b371652cc5e39f9f02501054bc9f23e8e3"},"schema_version":"1.0","source":{"id":"2403.01499","kind":"arxiv","version":2}},"canonical_sha256":"2b6aa9bbe61a005516b4dcf69a42bf1ccff650a9829741a3b69609325b0385f0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2b6aa9bbe61a005516b4dcf69a42bf1ccff650a9829741a3b69609325b0385f0","first_computed_at":"2026-07-05T09:56:49.990364Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:56:49.990364Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"o8Ilx7wmbAVWcmyLWl6qroiPn3J+wIe3G5s8tmskdvwPDTLL1T3Bd4c5LkWXFaXQQgCi2/vDbWUIQdN2NbkNAw==","signature_status":"signed_v1","signed_at":"2026-07-05T09:56:49.990838Z","signed_message":"canonical_sha256_bytes"},"source_id":"2403.01499","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f77c93262f98208fd1b3f913fd00de494ef4c87faeef5a250fe6cdba321ceea4","sha256:c11bb4330b5a6744517ad218594dce084432a8f5fc9ff6045a02351fb5fe9d89"],"state_sha256":"4cab903851e1de3ef62bca1fdb9e468aa148a0dc37963bbea52f8ddd325c5709"}