{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:P2MLO5Y7YVX5AT4QQOEK6FMX43","short_pith_number":"pith:P2MLO5Y7","canonical_record":{"source":{"id":"1803.06373","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-03-16T19:03:45Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"52173f78934a221e7fdcb203b6eb9878b13ed498a2c3cfe3f8e8f3fd44e133f8","abstract_canon_sha256":"726158b0889b838d4dcb7a5133a184cec79009c70a676bf3b3c10caf636f458b"},"schema_version":"1.0"},"canonical_sha256":"7e98b7771fc56fd04f908388af1597e6d468e9b96f27e2ebd6b9518ae3c8dcc3","source":{"kind":"arxiv","id":"1803.06373","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1803.06373","created_at":"2026-05-18T00:20:46Z"},{"alias_kind":"arxiv_version","alias_value":"1803.06373v1","created_at":"2026-05-18T00:20:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1803.06373","created_at":"2026-05-18T00:20:46Z"},{"alias_kind":"pith_short_12","alias_value":"P2MLO5Y7YVX5","created_at":"2026-05-18T12:32:43Z"},{"alias_kind":"pith_short_16","alias_value":"P2MLO5Y7YVX5AT4Q","created_at":"2026-05-18T12:32:43Z"},{"alias_kind":"pith_short_8","alias_value":"P2MLO5Y7","created_at":"2026-05-18T12:32:43Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:P2MLO5Y7YVX5AT4QQOEK6FMX43","target":"record","payload":{"canonical_record":{"source":{"id":"1803.06373","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-03-16T19:03:45Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"52173f78934a221e7fdcb203b6eb9878b13ed498a2c3cfe3f8e8f3fd44e133f8","abstract_canon_sha256":"726158b0889b838d4dcb7a5133a184cec79009c70a676bf3b3c10caf636f458b"},"schema_version":"1.0"},"canonical_sha256":"7e98b7771fc56fd04f908388af1597e6d468e9b96f27e2ebd6b9518ae3c8dcc3","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:20:46.049521Z","signature_b64":"MEtOmYInV2nqDWTHNIcN/ccr/Y2ryb6Wvzc87JN7P9j+N8Ah0h7mm12F7rzRQpGX3GhzXL8YbbzkVPZB31feCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7e98b7771fc56fd04f908388af1597e6d468e9b96f27e2ebd6b9518ae3c8dcc3","last_reissued_at":"2026-05-18T00:20:46.048972Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:20:46.048972Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1803.06373","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":"2026-05-18T00:20:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JHUzdhS9St7ONDmxWs20lh213CqEzmUqiNgbAZYZz939+OMa8o1V7blJxiHj+RihPc07if9A3zZz0BhgXVVvDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-30T15:06:51.157008Z"},"content_sha256":"3f0acbb284f46af93814f9c34ddeeb44aa5ec4b1309d5f30ca90fa4f592f6bc8","schema_version":"1.0","event_id":"sha256:3f0acbb284f46af93814f9c34ddeeb44aa5ec4b1309d5f30ca90fa4f592f6bc8"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:P2MLO5Y7YVX5AT4QQOEK6FMX43","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Adversarial Logit Pairing","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.ML"],"primary_cat":"cs.LG","authors_text":"Alexey Kurakin, Harini Kannan, Ian Goodfellow","submitted_at":"2018-03-16T19:03:45Z","abstract_excerpt":"In this paper, we develop improved techniques for defending against adversarial examples at scale. First, we implement the state of the art version of adversarial training at unprecedented scale on ImageNet and investigate whether it remains effective in this setting - an important open scientific question (Athalye et al., 2018). Next, we introduce enhanced defenses using a technique we call logit pairing, a method that encourages logits for pairs of examples to be similar. When applied to clean examples and their adversarial counterparts, logit pairing improves accuracy on adversarial example"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1803.06373","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":""},"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":"2026-05-18T00:20:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"aHpjbqI2fR1Eb2+6sef3PP39b7FcadEYfk22fWQFOB0eJx9lpeFCTzGLtaoGu3PW+0+z4FRpmqENsyQO4fkJBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-30T15:06:51.157371Z"},"content_sha256":"0b3b14c087a56f86d0a2ac244ea804d605a580ec45e1f9a8d935a1d1b7a45ba6","schema_version":"1.0","event_id":"sha256:0b3b14c087a56f86d0a2ac244ea804d605a580ec45e1f9a8d935a1d1b7a45ba6"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/P2MLO5Y7YVX5AT4QQOEK6FMX43/bundle.json","state_url":"https://pith.science/pith/P2MLO5Y7YVX5AT4QQOEK6FMX43/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/P2MLO5Y7YVX5AT4QQOEK6FMX43/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":"2026-05-30T15:06:51Z","links":{"resolver":"https://pith.science/pith/P2MLO5Y7YVX5AT4QQOEK6FMX43","bundle":"https://pith.science/pith/P2MLO5Y7YVX5AT4QQOEK6FMX43/bundle.json","state":"https://pith.science/pith/P2MLO5Y7YVX5AT4QQOEK6FMX43/state.json","well_known_bundle":"https://pith.science/.well-known/pith/P2MLO5Y7YVX5AT4QQOEK6FMX43/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:P2MLO5Y7YVX5AT4QQOEK6FMX43","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":"726158b0889b838d4dcb7a5133a184cec79009c70a676bf3b3c10caf636f458b","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-03-16T19:03:45Z","title_canon_sha256":"52173f78934a221e7fdcb203b6eb9878b13ed498a2c3cfe3f8e8f3fd44e133f8"},"schema_version":"1.0","source":{"id":"1803.06373","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1803.06373","created_at":"2026-05-18T00:20:46Z"},{"alias_kind":"arxiv_version","alias_value":"1803.06373v1","created_at":"2026-05-18T00:20:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1803.06373","created_at":"2026-05-18T00:20:46Z"},{"alias_kind":"pith_short_12","alias_value":"P2MLO5Y7YVX5","created_at":"2026-05-18T12:32:43Z"},{"alias_kind":"pith_short_16","alias_value":"P2MLO5Y7YVX5AT4Q","created_at":"2026-05-18T12:32:43Z"},{"alias_kind":"pith_short_8","alias_value":"P2MLO5Y7","created_at":"2026-05-18T12:32:43Z"}],"graph_snapshots":[{"event_id":"sha256:0b3b14c087a56f86d0a2ac244ea804d605a580ec45e1f9a8d935a1d1b7a45ba6","target":"graph","created_at":"2026-05-18T00:20:46Z","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"},"paper":{"abstract_excerpt":"In this paper, we develop improved techniques for defending against adversarial examples at scale. First, we implement the state of the art version of adversarial training at unprecedented scale on ImageNet and investigate whether it remains effective in this setting - an important open scientific question (Athalye et al., 2018). Next, we introduce enhanced defenses using a technique we call logit pairing, a method that encourages logits for pairs of examples to be similar. When applied to clean examples and their adversarial counterparts, logit pairing improves accuracy on adversarial example","authors_text":"Alexey Kurakin, Harini Kannan, Ian Goodfellow","cross_cats":["stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-03-16T19:03:45Z","title":"Adversarial Logit Pairing"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1803.06373","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":"sha256:3f0acbb284f46af93814f9c34ddeeb44aa5ec4b1309d5f30ca90fa4f592f6bc8","target":"record","created_at":"2026-05-18T00:20:46Z","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":"726158b0889b838d4dcb7a5133a184cec79009c70a676bf3b3c10caf636f458b","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-03-16T19:03:45Z","title_canon_sha256":"52173f78934a221e7fdcb203b6eb9878b13ed498a2c3cfe3f8e8f3fd44e133f8"},"schema_version":"1.0","source":{"id":"1803.06373","kind":"arxiv","version":1}},"canonical_sha256":"7e98b7771fc56fd04f908388af1597e6d468e9b96f27e2ebd6b9518ae3c8dcc3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7e98b7771fc56fd04f908388af1597e6d468e9b96f27e2ebd6b9518ae3c8dcc3","first_computed_at":"2026-05-18T00:20:46.048972Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:20:46.048972Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"MEtOmYInV2nqDWTHNIcN/ccr/Y2ryb6Wvzc87JN7P9j+N8Ah0h7mm12F7rzRQpGX3GhzXL8YbbzkVPZB31feCg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:20:46.049521Z","signed_message":"canonical_sha256_bytes"},"source_id":"1803.06373","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3f0acbb284f46af93814f9c34ddeeb44aa5ec4b1309d5f30ca90fa4f592f6bc8","sha256:0b3b14c087a56f86d0a2ac244ea804d605a580ec45e1f9a8d935a1d1b7a45ba6"],"state_sha256":"8a309af537145e67a16ed7e54201d9cb6c5f4d304942d651f1566ef0b364f8b3"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"v6t9hs8pNEVXUCVlHepW+FN+IAqxdYkn2voSbGHh7kRxkVk73ey4YhMFsCuDloVrI2sLI43uRk4EO1PtUo1FDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-30T15:06:51.159761Z","bundle_sha256":"395333ed448a0587142aac3f0beff92404493c489221f54dbbaf0a97f1422db5"}}