{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:WUXMHHQ72K5Y5AXTHS7QXZJG4I","short_pith_number":"pith:WUXMHHQ7","canonical_record":{"source":{"id":"1906.09852","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-06-24T11:18:00Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"727e288f94763817885c7021c5e6badcd74e83d133054c13e2ed3efda88c264d","abstract_canon_sha256":"ad86bb7feb37214c6cb9e27d0f0bf775bc91991386bdfd4fd781e844f8e49180"},"schema_version":"1.0"},"canonical_sha256":"b52ec39e1fd2bb8e82f33cbf0be526e23167f0a4283b5eb3a097dd386c6d70f0","source":{"kind":"arxiv","id":"1906.09852","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1906.09852","created_at":"2026-05-17T23:42:36Z"},{"alias_kind":"arxiv_version","alias_value":"1906.09852v1","created_at":"2026-05-17T23:42:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1906.09852","created_at":"2026-05-17T23:42:36Z"},{"alias_kind":"pith_short_12","alias_value":"WUXMHHQ72K5Y","created_at":"2026-05-18T12:33:33Z"},{"alias_kind":"pith_short_16","alias_value":"WUXMHHQ72K5Y5AXT","created_at":"2026-05-18T12:33:33Z"},{"alias_kind":"pith_short_8","alias_value":"WUXMHHQ7","created_at":"2026-05-18T12:33:33Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:WUXMHHQ72K5Y5AXTHS7QXZJG4I","target":"record","payload":{"canonical_record":{"source":{"id":"1906.09852","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-06-24T11:18:00Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"727e288f94763817885c7021c5e6badcd74e83d133054c13e2ed3efda88c264d","abstract_canon_sha256":"ad86bb7feb37214c6cb9e27d0f0bf775bc91991386bdfd4fd781e844f8e49180"},"schema_version":"1.0"},"canonical_sha256":"b52ec39e1fd2bb8e82f33cbf0be526e23167f0a4283b5eb3a097dd386c6d70f0","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:42:36.470102Z","signature_b64":"vdJIbqd2H/icqsBQU6I+5TjZz9Nn1LF7/uMwoyp0yYKzbApfjSfnlt76WAAF0YzDFpXSulh/FzppLK9plcYlAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b52ec39e1fd2bb8e82f33cbf0be526e23167f0a4283b5eb3a097dd386c6d70f0","last_reissued_at":"2026-05-17T23:42:36.469530Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:42:36.469530Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1906.09852","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":"2026-05-17T23:42:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"W2viuZFc91HzJ05DzP03nYu+nuuKKjOiyjo2EOIHfuepprEdmfIB/wmWBSu1c/3cSfWjatJyU/BtdgLWS9LhAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T04:40:26.377592Z"},"content_sha256":"42e2637560d62cd823a260b04b1b62178cef3339c58ab9175381a7c695a45e79","schema_version":"1.0","event_id":"sha256:42e2637560d62cd823a260b04b1b62178cef3339c58ab9175381a7c695a45e79"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:WUXMHHQ72K5Y5AXTHS7QXZJG4I","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Lifelong Learning Starting From Zero","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.ML"],"primary_cat":"cs.LG","authors_text":"Claes Stranneg{\\aa}rd, Filip Slottner Seholm, Fredrik M\\\"akel\\\"ainen, Herman Carlstr\\\"om, Morteza Haghir Chehreghani, Niklas Engsner","submitted_at":"2019-06-24T11:18:00Z","abstract_excerpt":"We present a deep neural-network model for lifelong learning inspired by several forms of neuroplasticity. The neural network develops continuously in response to signals from the environment. In the beginning, the network is a blank slate with no nodes at all. It develops according to four rules: (i) expansion, which adds new nodes to memorize new input combinations; (ii) generalization, which adds new nodes that generalize from existing ones; (iii) forgetting, which removes nodes that are of relatively little use; and (iv) backpropagation, which fine-tunes the network parameters. We analyze "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1906.09852","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":"2026-05-17T23:42:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"64qzrYxbrDYiYK6PylRzPPunTkYJVglXQSfNhmV+eyEWDia/wmbZFV9FqEZP3CzAQrwHwCsN+qcozZm3Z5qDAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T04:40:26.378228Z"},"content_sha256":"476baeb71e243ec44fd55a0f26e346f7211e5724f4ae419430084e7e87214b02","schema_version":"1.0","event_id":"sha256:476baeb71e243ec44fd55a0f26e346f7211e5724f4ae419430084e7e87214b02"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/WUXMHHQ72K5Y5AXTHS7QXZJG4I/bundle.json","state_url":"https://pith.science/pith/WUXMHHQ72K5Y5AXTHS7QXZJG4I/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/WUXMHHQ72K5Y5AXTHS7QXZJG4I/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":"2026-05-28T04:40:26Z","links":{"resolver":"https://pith.science/pith/WUXMHHQ72K5Y5AXTHS7QXZJG4I","bundle":"https://pith.science/pith/WUXMHHQ72K5Y5AXTHS7QXZJG4I/bundle.json","state":"https://pith.science/pith/WUXMHHQ72K5Y5AXTHS7QXZJG4I/state.json","well_known_bundle":"https://pith.science/.well-known/pith/WUXMHHQ72K5Y5AXTHS7QXZJG4I/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:WUXMHHQ72K5Y5AXTHS7QXZJG4I","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":"ad86bb7feb37214c6cb9e27d0f0bf775bc91991386bdfd4fd781e844f8e49180","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-06-24T11:18:00Z","title_canon_sha256":"727e288f94763817885c7021c5e6badcd74e83d133054c13e2ed3efda88c264d"},"schema_version":"1.0","source":{"id":"1906.09852","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1906.09852","created_at":"2026-05-17T23:42:36Z"},{"alias_kind":"arxiv_version","alias_value":"1906.09852v1","created_at":"2026-05-17T23:42:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1906.09852","created_at":"2026-05-17T23:42:36Z"},{"alias_kind":"pith_short_12","alias_value":"WUXMHHQ72K5Y","created_at":"2026-05-18T12:33:33Z"},{"alias_kind":"pith_short_16","alias_value":"WUXMHHQ72K5Y5AXT","created_at":"2026-05-18T12:33:33Z"},{"alias_kind":"pith_short_8","alias_value":"WUXMHHQ7","created_at":"2026-05-18T12:33:33Z"}],"graph_snapshots":[{"event_id":"sha256:476baeb71e243ec44fd55a0f26e346f7211e5724f4ae419430084e7e87214b02","target":"graph","created_at":"2026-05-17T23:42:36Z","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":"We present a deep neural-network model for lifelong learning inspired by several forms of neuroplasticity. The neural network develops continuously in response to signals from the environment. In the beginning, the network is a blank slate with no nodes at all. It develops according to four rules: (i) expansion, which adds new nodes to memorize new input combinations; (ii) generalization, which adds new nodes that generalize from existing ones; (iii) forgetting, which removes nodes that are of relatively little use; and (iv) backpropagation, which fine-tunes the network parameters. We analyze ","authors_text":"Claes Stranneg{\\aa}rd, Filip Slottner Seholm, Fredrik M\\\"akel\\\"ainen, Herman Carlstr\\\"om, Morteza Haghir Chehreghani, Niklas Engsner","cross_cats":["stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-06-24T11:18:00Z","title":"Lifelong Learning Starting From Zero"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1906.09852","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":"sha256:42e2637560d62cd823a260b04b1b62178cef3339c58ab9175381a7c695a45e79","target":"record","created_at":"2026-05-17T23:42:36Z","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":"ad86bb7feb37214c6cb9e27d0f0bf775bc91991386bdfd4fd781e844f8e49180","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-06-24T11:18:00Z","title_canon_sha256":"727e288f94763817885c7021c5e6badcd74e83d133054c13e2ed3efda88c264d"},"schema_version":"1.0","source":{"id":"1906.09852","kind":"arxiv","version":1}},"canonical_sha256":"b52ec39e1fd2bb8e82f33cbf0be526e23167f0a4283b5eb3a097dd386c6d70f0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b52ec39e1fd2bb8e82f33cbf0be526e23167f0a4283b5eb3a097dd386c6d70f0","first_computed_at":"2026-05-17T23:42:36.469530Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:42:36.469530Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"vdJIbqd2H/icqsBQU6I+5TjZz9Nn1LF7/uMwoyp0yYKzbApfjSfnlt76WAAF0YzDFpXSulh/FzppLK9plcYlAw==","signature_status":"signed_v1","signed_at":"2026-05-17T23:42:36.470102Z","signed_message":"canonical_sha256_bytes"},"source_id":"1906.09852","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:42e2637560d62cd823a260b04b1b62178cef3339c58ab9175381a7c695a45e79","sha256:476baeb71e243ec44fd55a0f26e346f7211e5724f4ae419430084e7e87214b02"],"state_sha256":"bb5fd28d610a35c4fb11b81a91a0b89d80b8cebbfb638e066922f7ab52eeb957"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Rf14PnAIZ9XAtGeKcHBZyLKtPN4r1GsDYS7GG6peW+RA/N0hSK31onXDgS3rX67rRoB89SXo+zOPqrLnG/I8BQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-28T04:40:26.381502Z","bundle_sha256":"5e26c9b832b8eb4fb352223a73759b261b55d895013a37bfa738eac548c75efe"}}