{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:4MS6DMXDOXNEQ5XV4CWXZQKF2Z","short_pith_number":"pith:4MS6DMXD","canonical_record":{"source":{"id":"2112.05135","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-12-09T18:59:31Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"3f577c6cab0ea6f122d39a1e4947e54a072bcedf15900ec2357112d3fe21bb92","abstract_canon_sha256":"1ed285eeefd7b28c49871fec46e6ef1c56f26ca535b85dd84965d9a7d9a8e22d"},"schema_version":"1.0"},"canonical_sha256":"e325e1b2e375da4876f5e0ad7cc145d67afaf15551249d9b399c9ecaf0cfce64","source":{"kind":"arxiv","id":"2112.05135","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2112.05135","created_at":"2026-07-05T04:09:17Z"},{"alias_kind":"arxiv_version","alias_value":"2112.05135v3","created_at":"2026-07-05T04:09:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2112.05135","created_at":"2026-07-05T04:09:17Z"},{"alias_kind":"pith_short_12","alias_value":"4MS6DMXDOXNE","created_at":"2026-07-05T04:09:17Z"},{"alias_kind":"pith_short_16","alias_value":"4MS6DMXDOXNEQ5XV","created_at":"2026-07-05T04:09:17Z"},{"alias_kind":"pith_short_8","alias_value":"4MS6DMXD","created_at":"2026-07-05T04:09:17Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:4MS6DMXDOXNEQ5XV4CWXZQKF2Z","target":"record","payload":{"canonical_record":{"source":{"id":"2112.05135","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-12-09T18:59:31Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"3f577c6cab0ea6f122d39a1e4947e54a072bcedf15900ec2357112d3fe21bb92","abstract_canon_sha256":"1ed285eeefd7b28c49871fec46e6ef1c56f26ca535b85dd84965d9a7d9a8e22d"},"schema_version":"1.0"},"canonical_sha256":"e325e1b2e375da4876f5e0ad7cc145d67afaf15551249d9b399c9ecaf0cfce64","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:09:17.323294Z","signature_b64":"NScjkENDbMAYLyByotSO+seuV3Pvcle1jbzXHhVo62gM6vQuIwxf6tiOGJlxijHG7db/HmqlgoMmcCJIfsOSBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e325e1b2e375da4876f5e0ad7cc145d67afaf15551249d9b399c9ecaf0cfce64","last_reissued_at":"2026-07-05T04:09:17.322901Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:09:17.322901Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2112.05135","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":"2026-07-05T04:09:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qtHUrEZCXb2ZihTRtIb20jvsc7LTHK/kHsNiDASaRsT7mi9g25yosFjIwYVcN8sLlq1dqP1fJbMx2ewSAcLGCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-02T00:00:08.460408Z"},"content_sha256":"2f4701a2aeaa3ee4c51cfb3537e2645e0330e866548d51029d604472c96a5429","schema_version":"1.0","event_id":"sha256:2f4701a2aeaa3ee4c51cfb3537e2645e0330e866548d51029d604472c96a5429"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:4MS6DMXDOXNEQ5XV4CWXZQKF2Z","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"PixMix: Dreamlike Pictures Comprehensively Improve Safety Measures","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"cs.LG","authors_text":"Andy Zou, Bo Li, Dan Hendrycks, Dawn Song, Jacob Steinhardt, Leonard Tang, Mantas Mazeika","submitted_at":"2021-12-09T18:59:31Z","abstract_excerpt":"In real-world applications of machine learning, reliable and safe systems must consider measures of performance beyond standard test set accuracy. These other goals include out-of-distribution (OOD) robustness, prediction consistency, resilience to adversaries, calibrated uncertainty estimates, and the ability to detect anomalous inputs. However, improving performance towards these goals is often a balancing act that today's methods cannot achieve without sacrificing performance on other safety axes. For instance, adversarial training improves adversarial robustness but sharply degrades other "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2112.05135","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/2112.05135/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":"2026-07-05T04:09:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wMmfz98eCWbNHB66WgSKvRuxYuPpXVfVGss0QeQrBFUG9Z8vZdSGnPgwAuQJsbq7zBdRMQs/ie2/LmoeH3KoCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-02T00:00:08.460938Z"},"content_sha256":"f0de97d7ffa439dffa0615a9505d58a7620f755a77fafb562d5bdafe787a1e85","schema_version":"1.0","event_id":"sha256:f0de97d7ffa439dffa0615a9505d58a7620f755a77fafb562d5bdafe787a1e85"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/4MS6DMXDOXNEQ5XV4CWXZQKF2Z/bundle.json","state_url":"https://pith.science/pith/4MS6DMXDOXNEQ5XV4CWXZQKF2Z/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/4MS6DMXDOXNEQ5XV4CWXZQKF2Z/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":"2026-08-02T00:00:08Z","links":{"resolver":"https://pith.science/pith/4MS6DMXDOXNEQ5XV4CWXZQKF2Z","bundle":"https://pith.science/pith/4MS6DMXDOXNEQ5XV4CWXZQKF2Z/bundle.json","state":"https://pith.science/pith/4MS6DMXDOXNEQ5XV4CWXZQKF2Z/state.json","well_known_bundle":"https://pith.science/.well-known/pith/4MS6DMXDOXNEQ5XV4CWXZQKF2Z/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:4MS6DMXDOXNEQ5XV4CWXZQKF2Z","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":"1ed285eeefd7b28c49871fec46e6ef1c56f26ca535b85dd84965d9a7d9a8e22d","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-12-09T18:59:31Z","title_canon_sha256":"3f577c6cab0ea6f122d39a1e4947e54a072bcedf15900ec2357112d3fe21bb92"},"schema_version":"1.0","source":{"id":"2112.05135","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2112.05135","created_at":"2026-07-05T04:09:17Z"},{"alias_kind":"arxiv_version","alias_value":"2112.05135v3","created_at":"2026-07-05T04:09:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2112.05135","created_at":"2026-07-05T04:09:17Z"},{"alias_kind":"pith_short_12","alias_value":"4MS6DMXDOXNE","created_at":"2026-07-05T04:09:17Z"},{"alias_kind":"pith_short_16","alias_value":"4MS6DMXDOXNEQ5XV","created_at":"2026-07-05T04:09:17Z"},{"alias_kind":"pith_short_8","alias_value":"4MS6DMXD","created_at":"2026-07-05T04:09:17Z"}],"graph_snapshots":[{"event_id":"sha256:f0de97d7ffa439dffa0615a9505d58a7620f755a77fafb562d5bdafe787a1e85","target":"graph","created_at":"2026-07-05T04:09:17Z","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/2112.05135/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In real-world applications of machine learning, reliable and safe systems must consider measures of performance beyond standard test set accuracy. These other goals include out-of-distribution (OOD) robustness, prediction consistency, resilience to adversaries, calibrated uncertainty estimates, and the ability to detect anomalous inputs. However, improving performance towards these goals is often a balancing act that today's methods cannot achieve without sacrificing performance on other safety axes. For instance, adversarial training improves adversarial robustness but sharply degrades other ","authors_text":"Andy Zou, Bo Li, Dan Hendrycks, Dawn Song, Jacob Steinhardt, Leonard Tang, Mantas Mazeika","cross_cats":["cs.CV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-12-09T18:59:31Z","title":"PixMix: Dreamlike Pictures Comprehensively Improve Safety Measures"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2112.05135","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":"sha256:2f4701a2aeaa3ee4c51cfb3537e2645e0330e866548d51029d604472c96a5429","target":"record","created_at":"2026-07-05T04:09:17Z","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":"1ed285eeefd7b28c49871fec46e6ef1c56f26ca535b85dd84965d9a7d9a8e22d","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-12-09T18:59:31Z","title_canon_sha256":"3f577c6cab0ea6f122d39a1e4947e54a072bcedf15900ec2357112d3fe21bb92"},"schema_version":"1.0","source":{"id":"2112.05135","kind":"arxiv","version":3}},"canonical_sha256":"e325e1b2e375da4876f5e0ad7cc145d67afaf15551249d9b399c9ecaf0cfce64","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e325e1b2e375da4876f5e0ad7cc145d67afaf15551249d9b399c9ecaf0cfce64","first_computed_at":"2026-07-05T04:09:17.322901Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:09:17.322901Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"NScjkENDbMAYLyByotSO+seuV3Pvcle1jbzXHhVo62gM6vQuIwxf6tiOGJlxijHG7db/HmqlgoMmcCJIfsOSBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T04:09:17.323294Z","signed_message":"canonical_sha256_bytes"},"source_id":"2112.05135","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2f4701a2aeaa3ee4c51cfb3537e2645e0330e866548d51029d604472c96a5429","sha256:f0de97d7ffa439dffa0615a9505d58a7620f755a77fafb562d5bdafe787a1e85"],"state_sha256":"171edfced6d5b37625d2e36c083f9cec471df4f43671b257d0201e55d2813aa6"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"NGtNVIw5ZrUr4AB/8c0unKx9IK4kG5QGj1IfldVa8EebeV8CPYtCr5Y63594qXcMbeIZWU20/Dt/wCr2xxVYCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-02T00:00:08.466266Z","bundle_sha256":"7975e638d0126ab337a51e8bba786e7f8da89338524698a6e5df85e9e2464344"}}