{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:2A24XJKUKYRE5QLA44BCQLZXAK","short_pith_number":"pith:2A24XJKU","canonical_record":{"source":{"id":"2304.00202","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-04-01T02:18:12Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"34763e3665994245a723fe3bae86adb4c0c2f1a4b77cee342899ad6b0bd996a5","abstract_canon_sha256":"478516003430739bcaec37129153624ff84d13bfd3abf01fe775540c0e3d57f2"},"schema_version":"1.0"},"canonical_sha256":"d035cba55456224ec160e702282f3702bd1a7002dbd4f15ddf4ea36d29c8cf3e","source":{"kind":"arxiv","id":"2304.00202","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2304.00202","created_at":"2026-07-05T05:58:29Z"},{"alias_kind":"arxiv_version","alias_value":"2304.00202v2","created_at":"2026-07-05T05:58:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2304.00202","created_at":"2026-07-05T05:58:29Z"},{"alias_kind":"pith_short_12","alias_value":"2A24XJKUKYRE","created_at":"2026-07-05T05:58:29Z"},{"alias_kind":"pith_short_16","alias_value":"2A24XJKUKYRE5QLA","created_at":"2026-07-05T05:58:29Z"},{"alias_kind":"pith_short_8","alias_value":"2A24XJKU","created_at":"2026-07-05T05:58:29Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:2A24XJKUKYRE5QLA44BCQLZXAK","target":"record","payload":{"canonical_record":{"source":{"id":"2304.00202","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-04-01T02:18:12Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"34763e3665994245a723fe3bae86adb4c0c2f1a4b77cee342899ad6b0bd996a5","abstract_canon_sha256":"478516003430739bcaec37129153624ff84d13bfd3abf01fe775540c0e3d57f2"},"schema_version":"1.0"},"canonical_sha256":"d035cba55456224ec160e702282f3702bd1a7002dbd4f15ddf4ea36d29c8cf3e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:58:29.543371Z","signature_b64":"VWtshR447VG0MWm85k7KbJfTToToq5sO9HN1esRWgjKnjaoMC+x71B8fwkVucmhil7zf7TQTvH4aOAhccGPsAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d035cba55456224ec160e702282f3702bd1a7002dbd4f15ddf4ea36d29c8cf3e","last_reissued_at":"2026-07-05T05:58:29.542911Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:58:29.542911Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2304.00202","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T05:58:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wDG4OLafBOqxt9xwX5auLKzBNlphOHWBjdwgaCBISw5DhFKSZDkffTaM3YId+PnyMB+DCbAe44BMHvjb/m7wAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T19:14:37.565390Z"},"content_sha256":"a41fab03ac003c7c8688b9f84d25528b7c669484be4e147dc0c4c4e198536024","schema_version":"1.0","event_id":"sha256:a41fab03ac003c7c8688b9f84d25528b7c669484be4e147dc0c4c4e198536024"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:2A24XJKUKYRE5QLA44BCQLZXAK","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Improving Fast Adversarial Training with Prior-Guided Knowledge","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"cs.LG","authors_text":"Baoyuan Wu, Jue Wang, Ke Ma, Xiaochun Cao, Xiaojun Jia, Xingxing Wei, Yong Zhang","submitted_at":"2023-04-01T02:18:12Z","abstract_excerpt":"Fast adversarial training (FAT) is an efficient method to improve robustness. However, the original FAT suffers from catastrophic overfitting, which dramatically and suddenly reduces robustness after a few training epochs. Although various FAT variants have been proposed to prevent overfitting, they require high training costs. In this paper, we investigate the relationship between adversarial example quality and catastrophic overfitting by comparing the training processes of standard adversarial training and FAT. We find that catastrophic overfitting occurs when the attack success rate of adv"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2304.00202","kind":"arxiv","version":2},"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/2304.00202/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":"2026-07-05T05:58:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mSg8VuPXo0WUzgm90+0cwoo5RApxCraQxOF2A2bw9vnWbI92OaJZW5g2CL1eIkkaicvtEAXZCOgPjXQiwPIkAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T19:14:37.565874Z"},"content_sha256":"edd59c47e53719dbe6ec6c62ddf586a7b64c2f1422a19a72aab9462f4c7a51d2","schema_version":"1.0","event_id":"sha256:edd59c47e53719dbe6ec6c62ddf586a7b64c2f1422a19a72aab9462f4c7a51d2"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/2A24XJKUKYRE5QLA44BCQLZXAK/bundle.json","state_url":"https://pith.science/pith/2A24XJKUKYRE5QLA44BCQLZXAK/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/2A24XJKUKYRE5QLA44BCQLZXAK/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":"2026-08-08T19:14:37Z","links":{"resolver":"https://pith.science/pith/2A24XJKUKYRE5QLA44BCQLZXAK","bundle":"https://pith.science/pith/2A24XJKUKYRE5QLA44BCQLZXAK/bundle.json","state":"https://pith.science/pith/2A24XJKUKYRE5QLA44BCQLZXAK/state.json","well_known_bundle":"https://pith.science/.well-known/pith/2A24XJKUKYRE5QLA44BCQLZXAK/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:2A24XJKUKYRE5QLA44BCQLZXAK","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":"478516003430739bcaec37129153624ff84d13bfd3abf01fe775540c0e3d57f2","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-04-01T02:18:12Z","title_canon_sha256":"34763e3665994245a723fe3bae86adb4c0c2f1a4b77cee342899ad6b0bd996a5"},"schema_version":"1.0","source":{"id":"2304.00202","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2304.00202","created_at":"2026-07-05T05:58:29Z"},{"alias_kind":"arxiv_version","alias_value":"2304.00202v2","created_at":"2026-07-05T05:58:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2304.00202","created_at":"2026-07-05T05:58:29Z"},{"alias_kind":"pith_short_12","alias_value":"2A24XJKUKYRE","created_at":"2026-07-05T05:58:29Z"},{"alias_kind":"pith_short_16","alias_value":"2A24XJKUKYRE5QLA","created_at":"2026-07-05T05:58:29Z"},{"alias_kind":"pith_short_8","alias_value":"2A24XJKU","created_at":"2026-07-05T05:58:29Z"}],"graph_snapshots":[{"event_id":"sha256:edd59c47e53719dbe6ec6c62ddf586a7b64c2f1422a19a72aab9462f4c7a51d2","target":"graph","created_at":"2026-07-05T05:58:29Z","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/2304.00202/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Fast adversarial training (FAT) is an efficient method to improve robustness. However, the original FAT suffers from catastrophic overfitting, which dramatically and suddenly reduces robustness after a few training epochs. Although various FAT variants have been proposed to prevent overfitting, they require high training costs. In this paper, we investigate the relationship between adversarial example quality and catastrophic overfitting by comparing the training processes of standard adversarial training and FAT. We find that catastrophic overfitting occurs when the attack success rate of adv","authors_text":"Baoyuan Wu, Jue Wang, Ke Ma, Xiaochun Cao, Xiaojun Jia, Xingxing Wei, Yong Zhang","cross_cats":["cs.CV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-04-01T02:18:12Z","title":"Improving Fast Adversarial Training with Prior-Guided Knowledge"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2304.00202","kind":"arxiv","version":2},"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:a41fab03ac003c7c8688b9f84d25528b7c669484be4e147dc0c4c4e198536024","target":"record","created_at":"2026-07-05T05:58:29Z","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":"478516003430739bcaec37129153624ff84d13bfd3abf01fe775540c0e3d57f2","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-04-01T02:18:12Z","title_canon_sha256":"34763e3665994245a723fe3bae86adb4c0c2f1a4b77cee342899ad6b0bd996a5"},"schema_version":"1.0","source":{"id":"2304.00202","kind":"arxiv","version":2}},"canonical_sha256":"d035cba55456224ec160e702282f3702bd1a7002dbd4f15ddf4ea36d29c8cf3e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d035cba55456224ec160e702282f3702bd1a7002dbd4f15ddf4ea36d29c8cf3e","first_computed_at":"2026-07-05T05:58:29.542911Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:58:29.542911Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"VWtshR447VG0MWm85k7KbJfTToToq5sO9HN1esRWgjKnjaoMC+x71B8fwkVucmhil7zf7TQTvH4aOAhccGPsAA==","signature_status":"signed_v1","signed_at":"2026-07-05T05:58:29.543371Z","signed_message":"canonical_sha256_bytes"},"source_id":"2304.00202","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a41fab03ac003c7c8688b9f84d25528b7c669484be4e147dc0c4c4e198536024","sha256:edd59c47e53719dbe6ec6c62ddf586a7b64c2f1422a19a72aab9462f4c7a51d2"],"state_sha256":"4799f066e3ee2e9c3fb0b4e803bb3a5d52e72e36b97818dca7513f3df3840bde"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"lOZJ0PvoyGiaijb34R3MCWI6icMR9kbqaLMj6TIoIytwK/NABARjdupQt08ecOjf1dCRRiNNGgsPruxyZ+ihCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T19:14:37.569480Z","bundle_sha256":"b038e5d8e9c9e6af9490b84a067665ff5c153551a1ff6a929777308948620728"}}