{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:YEK3CJYC4YWIHKUKWUU6MOQK74","short_pith_number":"pith:YEK3CJYC","canonical_record":{"source":{"id":"2402.15227","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-02-23T09:43:58Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"3d925f893321e3b63f978c1a02642bfa89b62f4df549d486f5db1ef9e495b787","abstract_canon_sha256":"650409f4515a3bb737c24a27e2bc79540beb75a9c412cf837071cfe50033e5f4"},"schema_version":"1.0"},"canonical_sha256":"c115b12702e62c83aa8ab529e63a0aff22cc2f7d218e3059c168df83f051d6e0","source":{"kind":"arxiv","id":"2402.15227","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2402.15227","created_at":"2026-07-05T07:48:37Z"},{"alias_kind":"arxiv_version","alias_value":"2402.15227v1","created_at":"2026-07-05T07:48:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.15227","created_at":"2026-07-05T07:48:37Z"},{"alias_kind":"pith_short_12","alias_value":"YEK3CJYC4YWI","created_at":"2026-07-05T07:48:37Z"},{"alias_kind":"pith_short_16","alias_value":"YEK3CJYC4YWIHKUK","created_at":"2026-07-05T07:48:37Z"},{"alias_kind":"pith_short_8","alias_value":"YEK3CJYC","created_at":"2026-07-05T07:48:37Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:YEK3CJYC4YWIHKUKWUU6MOQK74","target":"record","payload":{"canonical_record":{"source":{"id":"2402.15227","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-02-23T09:43:58Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"3d925f893321e3b63f978c1a02642bfa89b62f4df549d486f5db1ef9e495b787","abstract_canon_sha256":"650409f4515a3bb737c24a27e2bc79540beb75a9c412cf837071cfe50033e5f4"},"schema_version":"1.0"},"canonical_sha256":"c115b12702e62c83aa8ab529e63a0aff22cc2f7d218e3059c168df83f051d6e0","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:48:37.676602Z","signature_b64":"ou7at+60VSSuXPyvgLdQkz1vvUhKo6DwJvBiJHifAedvTmM6/zkQXktMZd7DRUre/+YeihvW96pE+jv16aqcCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c115b12702e62c83aa8ab529e63a0aff22cc2f7d218e3059c168df83f051d6e0","last_reissued_at":"2026-07-05T07:48:37.676157Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:48:37.676157Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2402.15227","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":"2026-07-05T07:48:37Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KMzexftQqPrfe74GJuQgw0jkoorwQd2mbZSdNRnEC6hTHO5OPPvE3eEz0Qq0aFPmMyQ9Q4GcEV5z7nQ9l5OLBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T06:06:20.421572Z"},"content_sha256":"a2aa6250844990d88d5f14e8ec6ec58f6974e1d21a4c11338a1a41c5d1197f7f","schema_version":"1.0","event_id":"sha256:a2aa6250844990d88d5f14e8ec6ec58f6974e1d21a4c11338a1a41c5d1197f7f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:YEK3CJYC4YWIHKUKWUU6MOQK74","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Fixed Random Classifier Rearrangement for Continual Learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.LG","authors_text":"Jianwen Mo, Shengyang Huang","submitted_at":"2024-02-23T09:43:58Z","abstract_excerpt":"With the explosive growth of data, continual learning capability is increasingly important for neural networks. Due to catastrophic forgetting, neural networks inevitably forget the knowledge of old tasks after learning new ones. In visual classification scenario, a common practice of alleviating the forgetting is to constrain the backbone. However, the impact of classifiers is underestimated. In this paper, we analyze the variation of model predictions in sequential binary classification tasks and find that the norm of the equivalent one-class classifiers significantly affects the forgetting "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.15227","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/2402.15227/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":"2026-07-05T07:48:37Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"IXG5l0SzG6DPVnIVIIepODFrX3piiGysWeKjsXpU1jjVW82OhhRWKnMA2JBjiaZkBZ/RJPkVyKgKOsSxTaWFDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T06:06:20.422128Z"},"content_sha256":"d888d7a2c6e501daf92616b78e4b89315742489afdadf7f324d1e20acad1ac19","schema_version":"1.0","event_id":"sha256:d888d7a2c6e501daf92616b78e4b89315742489afdadf7f324d1e20acad1ac19"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/YEK3CJYC4YWIHKUKWUU6MOQK74/bundle.json","state_url":"https://pith.science/pith/YEK3CJYC4YWIHKUKWUU6MOQK74/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/YEK3CJYC4YWIHKUKWUU6MOQK74/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":"2026-08-15T06:06:20Z","links":{"resolver":"https://pith.science/pith/YEK3CJYC4YWIHKUKWUU6MOQK74","bundle":"https://pith.science/pith/YEK3CJYC4YWIHKUKWUU6MOQK74/bundle.json","state":"https://pith.science/pith/YEK3CJYC4YWIHKUKWUU6MOQK74/state.json","well_known_bundle":"https://pith.science/.well-known/pith/YEK3CJYC4YWIHKUKWUU6MOQK74/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:YEK3CJYC4YWIHKUKWUU6MOQK74","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":"650409f4515a3bb737c24a27e2bc79540beb75a9c412cf837071cfe50033e5f4","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-02-23T09:43:58Z","title_canon_sha256":"3d925f893321e3b63f978c1a02642bfa89b62f4df549d486f5db1ef9e495b787"},"schema_version":"1.0","source":{"id":"2402.15227","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2402.15227","created_at":"2026-07-05T07:48:37Z"},{"alias_kind":"arxiv_version","alias_value":"2402.15227v1","created_at":"2026-07-05T07:48:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.15227","created_at":"2026-07-05T07:48:37Z"},{"alias_kind":"pith_short_12","alias_value":"YEK3CJYC4YWI","created_at":"2026-07-05T07:48:37Z"},{"alias_kind":"pith_short_16","alias_value":"YEK3CJYC4YWIHKUK","created_at":"2026-07-05T07:48:37Z"},{"alias_kind":"pith_short_8","alias_value":"YEK3CJYC","created_at":"2026-07-05T07:48:37Z"}],"graph_snapshots":[{"event_id":"sha256:d888d7a2c6e501daf92616b78e4b89315742489afdadf7f324d1e20acad1ac19","target":"graph","created_at":"2026-07-05T07:48:37Z","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/2402.15227/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"With the explosive growth of data, continual learning capability is increasingly important for neural networks. Due to catastrophic forgetting, neural networks inevitably forget the knowledge of old tasks after learning new ones. In visual classification scenario, a common practice of alleviating the forgetting is to constrain the backbone. However, the impact of classifiers is underestimated. In this paper, we analyze the variation of model predictions in sequential binary classification tasks and find that the norm of the equivalent one-class classifiers significantly affects the forgetting ","authors_text":"Jianwen Mo, Shengyang Huang","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-02-23T09:43:58Z","title":"Fixed Random Classifier Rearrangement for Continual Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.15227","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:a2aa6250844990d88d5f14e8ec6ec58f6974e1d21a4c11338a1a41c5d1197f7f","target":"record","created_at":"2026-07-05T07:48:37Z","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":"650409f4515a3bb737c24a27e2bc79540beb75a9c412cf837071cfe50033e5f4","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-02-23T09:43:58Z","title_canon_sha256":"3d925f893321e3b63f978c1a02642bfa89b62f4df549d486f5db1ef9e495b787"},"schema_version":"1.0","source":{"id":"2402.15227","kind":"arxiv","version":1}},"canonical_sha256":"c115b12702e62c83aa8ab529e63a0aff22cc2f7d218e3059c168df83f051d6e0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c115b12702e62c83aa8ab529e63a0aff22cc2f7d218e3059c168df83f051d6e0","first_computed_at":"2026-07-05T07:48:37.676157Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:48:37.676157Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ou7at+60VSSuXPyvgLdQkz1vvUhKo6DwJvBiJHifAedvTmM6/zkQXktMZd7DRUre/+YeihvW96pE+jv16aqcCA==","signature_status":"signed_v1","signed_at":"2026-07-05T07:48:37.676602Z","signed_message":"canonical_sha256_bytes"},"source_id":"2402.15227","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a2aa6250844990d88d5f14e8ec6ec58f6974e1d21a4c11338a1a41c5d1197f7f","sha256:d888d7a2c6e501daf92616b78e4b89315742489afdadf7f324d1e20acad1ac19"],"state_sha256":"6e2a372a1371283a426a1613a1f4539c1d708aa5d2312700a58a9188f175a9ed"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"eYSWSxnjQGeslzqVNsATxEo58el1En5EwaC6agJ8HJxQoKHgLOfErGnvfv9qUhs83/oqMO5Dob3B8p8Ki2f/DQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-15T06:06:20.427211Z","bundle_sha256":"bf05f84135cb2c3f96f2b54e1c9244355dfa76c3f3ee0a677ae25d601c4704f8"}}