{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:BZEGNBCO2PXRBYXBYKZA3AWYTF","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":"8307c9eae18d02d732035e140cea5824eb31245b7faccddda895ff8547692806","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-03-20T07:16:58Z","title_canon_sha256":"0aa5f640fd97a7b08b39fb47474d21fea72e167ac7693517e2ee376532d1bd8d"},"schema_version":"1.0","source":{"id":"1903.08362","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1903.08362","created_at":"2026-05-17T23:50:48Z"},{"alias_kind":"arxiv_version","alias_value":"1903.08362v1","created_at":"2026-05-17T23:50:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1903.08362","created_at":"2026-05-17T23:50:48Z"},{"alias_kind":"pith_short_12","alias_value":"BZEGNBCO2PXR","created_at":"2026-05-18T12:33:12Z"},{"alias_kind":"pith_short_16","alias_value":"BZEGNBCO2PXRBYXB","created_at":"2026-05-18T12:33:12Z"},{"alias_kind":"pith_short_8","alias_value":"BZEGNBCO","created_at":"2026-05-18T12:33:12Z"}],"graph_snapshots":[{"event_id":"sha256:70450455ad49a9b87c7911e46025ae78f15f78a66b269ab23f5ee67af798f2d0","target":"graph","created_at":"2026-05-17T23:50:48Z","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":"Lifelong learning, the problem of continual learning where tasks arrive in sequence, has been lately attracting more attention in the computer vision community. The aim of lifelong learning is to develop a system that can learn new tasks while maintaining the performance on the previously learned tasks. However, there are two obstacles for lifelong learning of deep neural networks: catastrophic forgetting and capacity limitation. To solve the above issues, inspired by the recent breakthroughs in automatically learning good neural network architectures, we develop a Multi-task based lifelong le","authors_text":"Dawei Li, Heming Zhang, Jie Zhang, Jingwen Zhu, Junting Zhang, Shalini Ghosh, Yalin Wang","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-03-20T07:16:58Z","title":"Regularize, Expand and Compress: Multi-task based Lifelong Learning via NonExpansive AutoML"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1903.08362","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":"sha256:8299ac228ec3dd773bc78eb9208dead70f332e03eba4b3b7565a6004e6cc62bc","target":"record","created_at":"2026-05-17T23:50:48Z","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":"8307c9eae18d02d732035e140cea5824eb31245b7faccddda895ff8547692806","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-03-20T07:16:58Z","title_canon_sha256":"0aa5f640fd97a7b08b39fb47474d21fea72e167ac7693517e2ee376532d1bd8d"},"schema_version":"1.0","source":{"id":"1903.08362","kind":"arxiv","version":1}},"canonical_sha256":"0e4866844ed3ef10e2e1c2b20d82d89956903af51bd80f954737dec8394f9277","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0e4866844ed3ef10e2e1c2b20d82d89956903af51bd80f954737dec8394f9277","first_computed_at":"2026-05-17T23:50:48.312224Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:50:48.312224Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"zt9bs37jB+SSn7l9O1XGtZO79PvAzuKwFp0Z0HWq6xfmb01kAcbSkHI8CGOXEZUmsjhC1fIUSEcb64sVLrCtCg==","signature_status":"signed_v1","signed_at":"2026-05-17T23:50:48.312939Z","signed_message":"canonical_sha256_bytes"},"source_id":"1903.08362","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8299ac228ec3dd773bc78eb9208dead70f332e03eba4b3b7565a6004e6cc62bc","sha256:70450455ad49a9b87c7911e46025ae78f15f78a66b269ab23f5ee67af798f2d0"],"state_sha256":"eddfa1b368a01c417b7d90fb7605c23e3a69f2a0fe7cb1f274a02f2b983365af"}