{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:OSEY7G6YINJVYZXUK4MGAENRDP","short_pith_number":"pith:OSEY7G6Y","canonical_record":{"source":{"id":"2411.01982","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2024-11-04T11:09:58Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"67122bf0501aa84fea9dddf6a38dc6e84f8faa1aebcc733ca9554249b50ef668","abstract_canon_sha256":"2127723a588f2c984b70531b49d2ee2fece174cc6a2e7d4f2def87e2a0df8071"},"schema_version":"1.0"},"canonical_sha256":"74898f9bd843535c66f457186011b11bf0bb35a08a8274628c9265bf58e56362","source":{"kind":"arxiv","id":"2411.01982","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.01982","created_at":"2026-07-05T09:30:39Z"},{"alias_kind":"arxiv_version","alias_value":"2411.01982v1","created_at":"2026-07-05T09:30:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.01982","created_at":"2026-07-05T09:30:39Z"},{"alias_kind":"pith_short_12","alias_value":"OSEY7G6YINJV","created_at":"2026-07-05T09:30:39Z"},{"alias_kind":"pith_short_16","alias_value":"OSEY7G6YINJVYZXU","created_at":"2026-07-05T09:30:39Z"},{"alias_kind":"pith_short_8","alias_value":"OSEY7G6Y","created_at":"2026-07-05T09:30:39Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:OSEY7G6YINJVYZXUK4MGAENRDP","target":"record","payload":{"canonical_record":{"source":{"id":"2411.01982","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2024-11-04T11:09:58Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"67122bf0501aa84fea9dddf6a38dc6e84f8faa1aebcc733ca9554249b50ef668","abstract_canon_sha256":"2127723a588f2c984b70531b49d2ee2fece174cc6a2e7d4f2def87e2a0df8071"},"schema_version":"1.0"},"canonical_sha256":"74898f9bd843535c66f457186011b11bf0bb35a08a8274628c9265bf58e56362","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:30:39.749495Z","signature_b64":"6IjE7x4+jWTp0PcPDrVq4ynDIqhPJ4svYRFiLkjhpYo7guVSlgTtcuHfZj1U7udeiEPioy51CfDLYN/coMR+BA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"74898f9bd843535c66f457186011b11bf0bb35a08a8274628c9265bf58e56362","last_reissued_at":"2026-07-05T09:30:39.748979Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:30:39.748979Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2411.01982","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:30:39Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HiDNwzNgNsjsQjX8hZxQPHF+BDOa+KfgvK0nhHLlIrsTlGzDjx/6pI4NpuCILUNalU2kukG9t+ncOdrhONWnAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T14:59:04.737576Z"},"content_sha256":"5ea859ac71853fa07a67dbe716fdadae867c272a99e54240be63bc4a0f39b18f","schema_version":"1.0","event_id":"sha256:5ea859ac71853fa07a67dbe716fdadae867c272a99e54240be63bc4a0f39b18f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:OSEY7G6YINJVYZXUK4MGAENRDP","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Learning Controlled Stochastic Differential Equations","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"stat.ML","authors_text":"Alessandro Rudi, Luc Brogat-Motte, Riccardo Bonalli","submitted_at":"2024-11-04T11:09:58Z","abstract_excerpt":"Identification of nonlinear dynamical systems is crucial across various fields, facilitating tasks such as control, prediction, optimization, and fault detection. Many applications require methods capable of handling complex systems while providing strong learning guarantees for safe and reliable performance. However, existing approaches often focus on simplified scenarios, such as deterministic models, known diffusion, discrete systems, one-dimensional dynamics, or systems constrained by strong structural assumptions such as linearity. This work proposes a novel method for estimating both dri"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.01982","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/2411.01982/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:30:39Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"OHl3OzS5SLGLK2FvKcCAJdT4kuVKRnWtYQGF4qoWM0EcBQtAwnYffrI8aQC7lb4xjVpIvUk5KXrzwhR+/jddAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T14:59:04.738079Z"},"content_sha256":"e866f88b34bef282ffac69d65ac90b67bbbdb45bafc90c8016d0ab8b958e441f","schema_version":"1.0","event_id":"sha256:e866f88b34bef282ffac69d65ac90b67bbbdb45bafc90c8016d0ab8b958e441f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/OSEY7G6YINJVYZXUK4MGAENRDP/bundle.json","state_url":"https://pith.science/pith/OSEY7G6YINJVYZXUK4MGAENRDP/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/OSEY7G6YINJVYZXUK4MGAENRDP/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-08T14:59:04Z","links":{"resolver":"https://pith.science/pith/OSEY7G6YINJVYZXUK4MGAENRDP","bundle":"https://pith.science/pith/OSEY7G6YINJVYZXUK4MGAENRDP/bundle.json","state":"https://pith.science/pith/OSEY7G6YINJVYZXUK4MGAENRDP/state.json","well_known_bundle":"https://pith.science/.well-known/pith/OSEY7G6YINJVYZXUK4MGAENRDP/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:OSEY7G6YINJVYZXUK4MGAENRDP","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":"2127723a588f2c984b70531b49d2ee2fece174cc6a2e7d4f2def87e2a0df8071","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2024-11-04T11:09:58Z","title_canon_sha256":"67122bf0501aa84fea9dddf6a38dc6e84f8faa1aebcc733ca9554249b50ef668"},"schema_version":"1.0","source":{"id":"2411.01982","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.01982","created_at":"2026-07-05T09:30:39Z"},{"alias_kind":"arxiv_version","alias_value":"2411.01982v1","created_at":"2026-07-05T09:30:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.01982","created_at":"2026-07-05T09:30:39Z"},{"alias_kind":"pith_short_12","alias_value":"OSEY7G6YINJV","created_at":"2026-07-05T09:30:39Z"},{"alias_kind":"pith_short_16","alias_value":"OSEY7G6YINJVYZXU","created_at":"2026-07-05T09:30:39Z"},{"alias_kind":"pith_short_8","alias_value":"OSEY7G6Y","created_at":"2026-07-05T09:30:39Z"}],"graph_snapshots":[{"event_id":"sha256:e866f88b34bef282ffac69d65ac90b67bbbdb45bafc90c8016d0ab8b958e441f","target":"graph","created_at":"2026-07-05T09:30:39Z","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/2411.01982/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Identification of nonlinear dynamical systems is crucial across various fields, facilitating tasks such as control, prediction, optimization, and fault detection. Many applications require methods capable of handling complex systems while providing strong learning guarantees for safe and reliable performance. However, existing approaches often focus on simplified scenarios, such as deterministic models, known diffusion, discrete systems, one-dimensional dynamics, or systems constrained by strong structural assumptions such as linearity. This work proposes a novel method for estimating both dri","authors_text":"Alessandro Rudi, Luc Brogat-Motte, Riccardo Bonalli","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2024-11-04T11:09:58Z","title":"Learning Controlled Stochastic Differential Equations"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.01982","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":"sha256:5ea859ac71853fa07a67dbe716fdadae867c272a99e54240be63bc4a0f39b18f","target":"record","created_at":"2026-07-05T09:30:39Z","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":"2127723a588f2c984b70531b49d2ee2fece174cc6a2e7d4f2def87e2a0df8071","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2024-11-04T11:09:58Z","title_canon_sha256":"67122bf0501aa84fea9dddf6a38dc6e84f8faa1aebcc733ca9554249b50ef668"},"schema_version":"1.0","source":{"id":"2411.01982","kind":"arxiv","version":1}},"canonical_sha256":"74898f9bd843535c66f457186011b11bf0bb35a08a8274628c9265bf58e56362","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"74898f9bd843535c66f457186011b11bf0bb35a08a8274628c9265bf58e56362","first_computed_at":"2026-07-05T09:30:39.748979Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:30:39.748979Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"6IjE7x4+jWTp0PcPDrVq4ynDIqhPJ4svYRFiLkjhpYo7guVSlgTtcuHfZj1U7udeiEPioy51CfDLYN/coMR+BA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:30:39.749495Z","signed_message":"canonical_sha256_bytes"},"source_id":"2411.01982","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5ea859ac71853fa07a67dbe716fdadae867c272a99e54240be63bc4a0f39b18f","sha256:e866f88b34bef282ffac69d65ac90b67bbbdb45bafc90c8016d0ab8b958e441f"],"state_sha256":"7a127c809ce5663946d8d49f8fd909acfc522e7233939c9936f7a4d640acaad0"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Gw/RmsQ9ATPYGyeYyaCPSaH+GFg0RjI63pDTngKVYjUd/jwrUGsoSYzkwzmCTl9NXeh9kCF7ZD6O4ML93azSAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T14:59:04.742159Z","bundle_sha256":"c6a5c20e616ac5dfe4c144cd4daffb6c34b74bed96be2d78979b5dfcc2db1120"}}