{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:TOVKLSHANBNYORQL27UTDEMLTH","short_pith_number":"pith:TOVKLSHA","canonical_record":{"source":{"id":"2008.10581","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-08-24T17:46:27Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"2d8b66113618dbeb0ea40db49486b0d730930f6bc287c6a619c68faed8b1fa2c","abstract_canon_sha256":"e3be540b799ca3421217145035b5e0ea68da5c7c9b76a80099785388084fc427"},"schema_version":"1.0"},"canonical_sha256":"9baaa5c8e0685b87460bd7e931918b99eaf0b68ff59ac02b2a6f764563a80d76","source":{"kind":"arxiv","id":"2008.10581","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2008.10581","created_at":"2026-07-05T03:04:01Z"},{"alias_kind":"arxiv_version","alias_value":"2008.10581v3","created_at":"2026-07-05T03:04:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2008.10581","created_at":"2026-07-05T03:04:01Z"},{"alias_kind":"pith_short_12","alias_value":"TOVKLSHANBNY","created_at":"2026-07-05T03:04:01Z"},{"alias_kind":"pith_short_16","alias_value":"TOVKLSHANBNYORQL","created_at":"2026-07-05T03:04:01Z"},{"alias_kind":"pith_short_8","alias_value":"TOVKLSHA","created_at":"2026-07-05T03:04:01Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:TOVKLSHANBNYORQL27UTDEMLTH","target":"record","payload":{"canonical_record":{"source":{"id":"2008.10581","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-08-24T17:46:27Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"2d8b66113618dbeb0ea40db49486b0d730930f6bc287c6a619c68faed8b1fa2c","abstract_canon_sha256":"e3be540b799ca3421217145035b5e0ea68da5c7c9b76a80099785388084fc427"},"schema_version":"1.0"},"canonical_sha256":"9baaa5c8e0685b87460bd7e931918b99eaf0b68ff59ac02b2a6f764563a80d76","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:04:01.618283Z","signature_b64":"rZPVYOMCy9wn4SBQtM5twLS9fDbqAIFbYvVIdJm9IuT3rShlHWVL/prVz+mbRp432LCnIJwXTVijqe8O701bDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9baaa5c8e0685b87460bd7e931918b99eaf0b68ff59ac02b2a6f764563a80d76","last_reissued_at":"2026-07-05T03:04:01.617845Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:04:01.617845Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2008.10581","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T03:04:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Eg2uZXIhLZpCdyZMVZYaw/c0gpvXweZLWN8MpQGVr4noqDi1dzQ3qeAMpONB/rG1l1CX2clmm/9z9slDgxHMAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-19T15:55:27.921097Z"},"content_sha256":"dee49bd84d21c8479ab55cfc84e361fc4385056b208fc6a0a2c7b29a5f566151","schema_version":"1.0","event_id":"sha256:dee49bd84d21c8479ab55cfc84e361fc4385056b208fc6a0a2c7b29a5f566151"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:TOVKLSHANBNYORQL27UTDEMLTH","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Neural Bridge Sampling for Evaluating Safety-Critical Autonomous Systems","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.ML"],"primary_cat":"cs.LG","authors_text":"Aman Sinha, John Duchi, Matthew O'Kelly, Russ Tedrake","submitted_at":"2020-08-24T17:46:27Z","abstract_excerpt":"Learning-based methodologies increasingly find applications in safety-critical domains like autonomous driving and medical robotics. Due to the rare nature of dangerous events, real-world testing is prohibitively expensive and unscalable. In this work, we employ a probabilistic approach to safety evaluation in simulation, where we are concerned with computing the probability of dangerous events. We develop a novel rare-event simulation method that combines exploration, exploitation, and optimization techniques to find failure modes and estimate their rate of occurrence. We provide rigorous gua"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2008.10581","kind":"arxiv","version":3},"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/2008.10581/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":"2026-07-05T03:04:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"NptL07RxhKj4PHH7B9irV83XCHnP0VCiiALwxz2WAmc6PcLQvKDxUHEsqFLzhujU2W5175SCIOj3CxqKlEhKAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-19T15:55:27.921488Z"},"content_sha256":"4f62f2404feb4f22c5d1f0e77f95bc3eb5a4ac3f89ac94de0dad82ea284bd1b3","schema_version":"1.0","event_id":"sha256:4f62f2404feb4f22c5d1f0e77f95bc3eb5a4ac3f89ac94de0dad82ea284bd1b3"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/TOVKLSHANBNYORQL27UTDEMLTH/bundle.json","state_url":"https://pith.science/pith/TOVKLSHANBNYORQL27UTDEMLTH/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/TOVKLSHANBNYORQL27UTDEMLTH/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":"2026-07-19T15:55:27Z","links":{"resolver":"https://pith.science/pith/TOVKLSHANBNYORQL27UTDEMLTH","bundle":"https://pith.science/pith/TOVKLSHANBNYORQL27UTDEMLTH/bundle.json","state":"https://pith.science/pith/TOVKLSHANBNYORQL27UTDEMLTH/state.json","well_known_bundle":"https://pith.science/.well-known/pith/TOVKLSHANBNYORQL27UTDEMLTH/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:TOVKLSHANBNYORQL27UTDEMLTH","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":"e3be540b799ca3421217145035b5e0ea68da5c7c9b76a80099785388084fc427","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-08-24T17:46:27Z","title_canon_sha256":"2d8b66113618dbeb0ea40db49486b0d730930f6bc287c6a619c68faed8b1fa2c"},"schema_version":"1.0","source":{"id":"2008.10581","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2008.10581","created_at":"2026-07-05T03:04:01Z"},{"alias_kind":"arxiv_version","alias_value":"2008.10581v3","created_at":"2026-07-05T03:04:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2008.10581","created_at":"2026-07-05T03:04:01Z"},{"alias_kind":"pith_short_12","alias_value":"TOVKLSHANBNY","created_at":"2026-07-05T03:04:01Z"},{"alias_kind":"pith_short_16","alias_value":"TOVKLSHANBNYORQL","created_at":"2026-07-05T03:04:01Z"},{"alias_kind":"pith_short_8","alias_value":"TOVKLSHA","created_at":"2026-07-05T03:04:01Z"}],"graph_snapshots":[{"event_id":"sha256:4f62f2404feb4f22c5d1f0e77f95bc3eb5a4ac3f89ac94de0dad82ea284bd1b3","target":"graph","created_at":"2026-07-05T03:04:01Z","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/2008.10581/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Learning-based methodologies increasingly find applications in safety-critical domains like autonomous driving and medical robotics. Due to the rare nature of dangerous events, real-world testing is prohibitively expensive and unscalable. In this work, we employ a probabilistic approach to safety evaluation in simulation, where we are concerned with computing the probability of dangerous events. We develop a novel rare-event simulation method that combines exploration, exploitation, and optimization techniques to find failure modes and estimate their rate of occurrence. We provide rigorous gua","authors_text":"Aman Sinha, John Duchi, Matthew O'Kelly, Russ Tedrake","cross_cats":["stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-08-24T17:46:27Z","title":"Neural Bridge Sampling for Evaluating Safety-Critical Autonomous Systems"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2008.10581","kind":"arxiv","version":3},"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:dee49bd84d21c8479ab55cfc84e361fc4385056b208fc6a0a2c7b29a5f566151","target":"record","created_at":"2026-07-05T03:04:01Z","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":"e3be540b799ca3421217145035b5e0ea68da5c7c9b76a80099785388084fc427","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-08-24T17:46:27Z","title_canon_sha256":"2d8b66113618dbeb0ea40db49486b0d730930f6bc287c6a619c68faed8b1fa2c"},"schema_version":"1.0","source":{"id":"2008.10581","kind":"arxiv","version":3}},"canonical_sha256":"9baaa5c8e0685b87460bd7e931918b99eaf0b68ff59ac02b2a6f764563a80d76","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9baaa5c8e0685b87460bd7e931918b99eaf0b68ff59ac02b2a6f764563a80d76","first_computed_at":"2026-07-05T03:04:01.617845Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:04:01.617845Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"rZPVYOMCy9wn4SBQtM5twLS9fDbqAIFbYvVIdJm9IuT3rShlHWVL/prVz+mbRp432LCnIJwXTVijqe8O701bDA==","signature_status":"signed_v1","signed_at":"2026-07-05T03:04:01.618283Z","signed_message":"canonical_sha256_bytes"},"source_id":"2008.10581","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:dee49bd84d21c8479ab55cfc84e361fc4385056b208fc6a0a2c7b29a5f566151","sha256:4f62f2404feb4f22c5d1f0e77f95bc3eb5a4ac3f89ac94de0dad82ea284bd1b3"],"state_sha256":"132852ea56755c3defe2bbce7abeffb701d6e7cbd767a90f0f5e5f622f867ccb"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"D5QIt0alYtGg6K2AIxxMusiw3SxRxXk8d9OrRSdWpwbf1motikCeOq/H76tvwbmJGkl6SgGj5FgRq8mQw7KCBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-19T15:55:27.923581Z","bundle_sha256":"d153e1ad1185557932aa56db581a325fb0f0bd86b64c92cac147d775a7854464"}}