{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:HH3SM3L32V6GH2CU77CFFVTZQB","short_pith_number":"pith:HH3SM3L3","canonical_record":{"source":{"id":"2007.04391","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-07-08T19:40:07Z","cross_cats_sorted":["cs.CR"],"title_canon_sha256":"b92802963861b4bbd9ba4185c1556bc79bfadb1c22b516e540fe43caa7ee14b1","abstract_canon_sha256":"d4156434bc2bc63a7be8410644d81b9581450cd8cda89404bac3f8dd1050a939"},"schema_version":"1.0"},"canonical_sha256":"39f7266d7bd57c63e854ffc452d679805871fe9a08212b067236a4078f93ddc9","source":{"kind":"arxiv","id":"2007.04391","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2007.04391","created_at":"2026-07-05T01:17:29Z"},{"alias_kind":"arxiv_version","alias_value":"2007.04391v1","created_at":"2026-07-05T01:17:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2007.04391","created_at":"2026-07-05T01:17:29Z"},{"alias_kind":"pith_short_12","alias_value":"HH3SM3L32V6G","created_at":"2026-07-05T01:17:29Z"},{"alias_kind":"pith_short_16","alias_value":"HH3SM3L32V6GH2CU","created_at":"2026-07-05T01:17:29Z"},{"alias_kind":"pith_short_8","alias_value":"HH3SM3L3","created_at":"2026-07-05T01:17:29Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:HH3SM3L32V6GH2CU77CFFVTZQB","target":"record","payload":{"canonical_record":{"source":{"id":"2007.04391","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-07-08T19:40:07Z","cross_cats_sorted":["cs.CR"],"title_canon_sha256":"b92802963861b4bbd9ba4185c1556bc79bfadb1c22b516e540fe43caa7ee14b1","abstract_canon_sha256":"d4156434bc2bc63a7be8410644d81b9581450cd8cda89404bac3f8dd1050a939"},"schema_version":"1.0"},"canonical_sha256":"39f7266d7bd57c63e854ffc452d679805871fe9a08212b067236a4078f93ddc9","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:17:29.794071Z","signature_b64":"kOaQJCO4Jsdx1qTOF8u8Q6T7JH08qo4rlU/5B28TY5OHQ1Y7nQn63iks2yf3QCxi91qXSmqO/6eYgGYxIL0vCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"39f7266d7bd57c63e854ffc452d679805871fe9a08212b067236a4078f93ddc9","last_reissued_at":"2026-07-05T01:17:29.793713Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:17:29.793713Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2007.04391","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":"2026-07-05T01:17:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"SAM+dP9Ito96ZT6TnbcW1x6rdMJqC3jiRiVGvGdfFpP1CwLxvpbhmgYclQo5MkF++Gh1X8S4+nxLQFb48VEeDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T06:50:55.701588Z"},"content_sha256":"e813ff3cbf47a7d63032870651028367b8cf7783d0e2866f46ac9e87752f1b04","schema_version":"1.0","event_id":"sha256:e813ff3cbf47a7d63032870651028367b8cf7783d0e2866f46ac9e87752f1b04"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:HH3SM3L32V6GH2CU77CFFVTZQB","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Critical Evaluation of Open-World Machine Learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CR"],"primary_cat":"cs.LG","authors_text":"Arjun Nitin Bhagoji, Liwei Song, Prateek Mittal, Vikash Sehwag","submitted_at":"2020-07-08T19:40:07Z","abstract_excerpt":"Open-world machine learning (ML) combines closed-world models trained on in-distribution data with out-of-distribution (OOD) detectors, which aim to detect and reject OOD inputs. Previous works on open-world ML systems usually fail to test their reliability under diverse, and possibly adversarial conditions. Therefore, in this paper, we seek to understand how resilient are state-of-the-art open-world ML systems to changes in system components? With our evaluation across 6 OOD detectors, we find that the choice of in-distribution data, model architecture and OOD data have a strong impact on OOD"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2007.04391","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/2007.04391/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":"2026-07-05T01:17:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"YdWq+G2XuSBtMKMu6zhCFuH7yKRmOK9kODZjlU0gwYPR2JClEmU6C806s6wdY/VHH+6Va6FJOcz0PBkuOI4xDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T06:50:55.702087Z"},"content_sha256":"d0581fcdf06b8daee8f0a2191915ae5b0ecbad26906d0544359792709c1019ae","schema_version":"1.0","event_id":"sha256:d0581fcdf06b8daee8f0a2191915ae5b0ecbad26906d0544359792709c1019ae"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/HH3SM3L32V6GH2CU77CFFVTZQB/bundle.json","state_url":"https://pith.science/pith/HH3SM3L32V6GH2CU77CFFVTZQB/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/HH3SM3L32V6GH2CU77CFFVTZQB/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":"2026-08-05T06:50:55Z","links":{"resolver":"https://pith.science/pith/HH3SM3L32V6GH2CU77CFFVTZQB","bundle":"https://pith.science/pith/HH3SM3L32V6GH2CU77CFFVTZQB/bundle.json","state":"https://pith.science/pith/HH3SM3L32V6GH2CU77CFFVTZQB/state.json","well_known_bundle":"https://pith.science/.well-known/pith/HH3SM3L32V6GH2CU77CFFVTZQB/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:HH3SM3L32V6GH2CU77CFFVTZQB","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":"d4156434bc2bc63a7be8410644d81b9581450cd8cda89404bac3f8dd1050a939","cross_cats_sorted":["cs.CR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-07-08T19:40:07Z","title_canon_sha256":"b92802963861b4bbd9ba4185c1556bc79bfadb1c22b516e540fe43caa7ee14b1"},"schema_version":"1.0","source":{"id":"2007.04391","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2007.04391","created_at":"2026-07-05T01:17:29Z"},{"alias_kind":"arxiv_version","alias_value":"2007.04391v1","created_at":"2026-07-05T01:17:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2007.04391","created_at":"2026-07-05T01:17:29Z"},{"alias_kind":"pith_short_12","alias_value":"HH3SM3L32V6G","created_at":"2026-07-05T01:17:29Z"},{"alias_kind":"pith_short_16","alias_value":"HH3SM3L32V6GH2CU","created_at":"2026-07-05T01:17:29Z"},{"alias_kind":"pith_short_8","alias_value":"HH3SM3L3","created_at":"2026-07-05T01:17:29Z"}],"graph_snapshots":[{"event_id":"sha256:d0581fcdf06b8daee8f0a2191915ae5b0ecbad26906d0544359792709c1019ae","target":"graph","created_at":"2026-07-05T01:17:29Z","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/2007.04391/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Open-world machine learning (ML) combines closed-world models trained on in-distribution data with out-of-distribution (OOD) detectors, which aim to detect and reject OOD inputs. Previous works on open-world ML systems usually fail to test their reliability under diverse, and possibly adversarial conditions. Therefore, in this paper, we seek to understand how resilient are state-of-the-art open-world ML systems to changes in system components? With our evaluation across 6 OOD detectors, we find that the choice of in-distribution data, model architecture and OOD data have a strong impact on OOD","authors_text":"Arjun Nitin Bhagoji, Liwei Song, Prateek Mittal, Vikash Sehwag","cross_cats":["cs.CR"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-07-08T19:40:07Z","title":"A Critical Evaluation of Open-World Machine Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2007.04391","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:e813ff3cbf47a7d63032870651028367b8cf7783d0e2866f46ac9e87752f1b04","target":"record","created_at":"2026-07-05T01:17:29Z","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":"d4156434bc2bc63a7be8410644d81b9581450cd8cda89404bac3f8dd1050a939","cross_cats_sorted":["cs.CR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-07-08T19:40:07Z","title_canon_sha256":"b92802963861b4bbd9ba4185c1556bc79bfadb1c22b516e540fe43caa7ee14b1"},"schema_version":"1.0","source":{"id":"2007.04391","kind":"arxiv","version":1}},"canonical_sha256":"39f7266d7bd57c63e854ffc452d679805871fe9a08212b067236a4078f93ddc9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"39f7266d7bd57c63e854ffc452d679805871fe9a08212b067236a4078f93ddc9","first_computed_at":"2026-07-05T01:17:29.793713Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:17:29.793713Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"kOaQJCO4Jsdx1qTOF8u8Q6T7JH08qo4rlU/5B28TY5OHQ1Y7nQn63iks2yf3QCxi91qXSmqO/6eYgGYxIL0vCw==","signature_status":"signed_v1","signed_at":"2026-07-05T01:17:29.794071Z","signed_message":"canonical_sha256_bytes"},"source_id":"2007.04391","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e813ff3cbf47a7d63032870651028367b8cf7783d0e2866f46ac9e87752f1b04","sha256:d0581fcdf06b8daee8f0a2191915ae5b0ecbad26906d0544359792709c1019ae"],"state_sha256":"51c85a25dabd795a59bac01172f2bf2a9c96acd65d0fb8e831770143fff3f2a6"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"09pYDMaEvdDYyFWGwF40EZjLq1JDVhulGQFC9I/TJnr23JUOxjAY7uFzguoJsEnEVQa4ONGkUc6wB42uE4OUDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T06:50:55.705464Z","bundle_sha256":"9e4dba624239771a2ec0439a5794b6a598de4918e61bf531f9991238c01d4009"}}