{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:JQ3SE6XZMO4CJUQA6RTFFSZ4ZF","short_pith_number":"pith:JQ3SE6XZ","canonical_record":{"source":{"id":"1909.08383","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-09-18T12:07:36Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"7f2af61b88fc175c51af65d6f5fd26e6c321c9412042849b026becbf95db2a9c","abstract_canon_sha256":"13822e656f2f7cf9c983367527b46bfd900fbca98d3f307fdb205e357f07161f"},"schema_version":"1.0"},"canonical_sha256":"4c37227af963b824d200f46652cb3cc962ad78e18fd9a0f377f12991bb9ac0c2","source":{"kind":"arxiv","id":"1909.08383","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1909.08383","created_at":"2026-07-05T02:32:31Z"},{"alias_kind":"arxiv_version","alias_value":"1909.08383v3","created_at":"2026-07-05T02:32:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1909.08383","created_at":"2026-07-05T02:32:31Z"},{"alias_kind":"pith_short_12","alias_value":"JQ3SE6XZMO4C","created_at":"2026-07-05T02:32:31Z"},{"alias_kind":"pith_short_16","alias_value":"JQ3SE6XZMO4CJUQA","created_at":"2026-07-05T02:32:31Z"},{"alias_kind":"pith_short_8","alias_value":"JQ3SE6XZ","created_at":"2026-07-05T02:32:31Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:JQ3SE6XZMO4CJUQA6RTFFSZ4ZF","target":"record","payload":{"canonical_record":{"source":{"id":"1909.08383","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-09-18T12:07:36Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"7f2af61b88fc175c51af65d6f5fd26e6c321c9412042849b026becbf95db2a9c","abstract_canon_sha256":"13822e656f2f7cf9c983367527b46bfd900fbca98d3f307fdb205e357f07161f"},"schema_version":"1.0"},"canonical_sha256":"4c37227af963b824d200f46652cb3cc962ad78e18fd9a0f377f12991bb9ac0c2","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:32:31.202193Z","signature_b64":"retrTlP3boroQ4Ogm1G9UZ9zkZPsbudyWjpLaDZr+uSdDtgYe2cBVfTRCtz6uFaaYILGBevqw2cpmYWyR2wWAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4c37227af963b824d200f46652cb3cc962ad78e18fd9a0f377f12991bb9ac0c2","last_reissued_at":"2026-07-05T02:32:31.201695Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:32:31.201695Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1909.08383","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T02:32:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"pBkWCCXCV7knjCeJSUTIujr/8a5WzzidjYu7cIq4m8hgfwKZQrMOeqHwc800SXfIkBxJxMRIpUArRlq4sOmgBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T00:51:03.876352Z"},"content_sha256":"f1843e2169698ab9f750f8cd28f5e4b0f6ef1665a4ae9bb3a2fbd6af0e95e04c","schema_version":"1.0","event_id":"sha256:f1843e2169698ab9f750f8cd28f5e4b0f6ef1665a4ae9bb3a2fbd6af0e95e04c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:JQ3SE6XZMO4CJUQA6RTFFSZ4ZF","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A continual learning survey: Defying forgetting in classification tasks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.ML"],"primary_cat":"cs.CV","authors_text":"Ales Leonardis, Gregory Slabaugh, Marc Masana, Matthias De Lange, Rahaf Aljundi, Sarah Parisot, Tinne Tuytelaars, Xu Jia","submitted_at":"2019-09-18T12:07:36Z","abstract_excerpt":"Artificial neural networks thrive in solving the classification problem for a particular rigid task, acquiring knowledge through generalized learning behaviour from a distinct training phase. The resulting network resembles a static entity of knowledge, with endeavours to extend this knowledge without targeting the original task resulting in a catastrophic forgetting. Continual learning shifts this paradigm towards networks that can continually accumulate knowledge over different tasks without the need to retrain from scratch. We focus on task incremental classification, where tasks arrive seq"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1909.08383","kind":"arxiv","version":3},"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/1909.08383/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":"2026-07-05T02:32:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FoJjgTkrZZ3GNUgFd6KwAx1YxECO14jEeAIGdPWyHzDYQ5IRh3coZRcGcDqoO33nISEhR/t8cV8WhbU/YQKkDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T00:51:03.876968Z"},"content_sha256":"98f6f97eb9359458a1627603967267eaa4cf716fce425425d161277e97c9093d","schema_version":"1.0","event_id":"sha256:98f6f97eb9359458a1627603967267eaa4cf716fce425425d161277e97c9093d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/JQ3SE6XZMO4CJUQA6RTFFSZ4ZF/bundle.json","state_url":"https://pith.science/pith/JQ3SE6XZMO4CJUQA6RTFFSZ4ZF/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/JQ3SE6XZMO4CJUQA6RTFFSZ4ZF/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":"2026-08-18T00:51:03Z","links":{"resolver":"https://pith.science/pith/JQ3SE6XZMO4CJUQA6RTFFSZ4ZF","bundle":"https://pith.science/pith/JQ3SE6XZMO4CJUQA6RTFFSZ4ZF/bundle.json","state":"https://pith.science/pith/JQ3SE6XZMO4CJUQA6RTFFSZ4ZF/state.json","well_known_bundle":"https://pith.science/.well-known/pith/JQ3SE6XZMO4CJUQA6RTFFSZ4ZF/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:JQ3SE6XZMO4CJUQA6RTFFSZ4ZF","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":"13822e656f2f7cf9c983367527b46bfd900fbca98d3f307fdb205e357f07161f","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-09-18T12:07:36Z","title_canon_sha256":"7f2af61b88fc175c51af65d6f5fd26e6c321c9412042849b026becbf95db2a9c"},"schema_version":"1.0","source":{"id":"1909.08383","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1909.08383","created_at":"2026-07-05T02:32:31Z"},{"alias_kind":"arxiv_version","alias_value":"1909.08383v3","created_at":"2026-07-05T02:32:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1909.08383","created_at":"2026-07-05T02:32:31Z"},{"alias_kind":"pith_short_12","alias_value":"JQ3SE6XZMO4C","created_at":"2026-07-05T02:32:31Z"},{"alias_kind":"pith_short_16","alias_value":"JQ3SE6XZMO4CJUQA","created_at":"2026-07-05T02:32:31Z"},{"alias_kind":"pith_short_8","alias_value":"JQ3SE6XZ","created_at":"2026-07-05T02:32:31Z"}],"graph_snapshots":[{"event_id":"sha256:98f6f97eb9359458a1627603967267eaa4cf716fce425425d161277e97c9093d","target":"graph","created_at":"2026-07-05T02:32:31Z","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/1909.08383/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Artificial neural networks thrive in solving the classification problem for a particular rigid task, acquiring knowledge through generalized learning behaviour from a distinct training phase. The resulting network resembles a static entity of knowledge, with endeavours to extend this knowledge without targeting the original task resulting in a catastrophic forgetting. Continual learning shifts this paradigm towards networks that can continually accumulate knowledge over different tasks without the need to retrain from scratch. We focus on task incremental classification, where tasks arrive seq","authors_text":"Ales Leonardis, Gregory Slabaugh, Marc Masana, Matthias De Lange, Rahaf Aljundi, Sarah Parisot, Tinne Tuytelaars, Xu Jia","cross_cats":["stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-09-18T12:07:36Z","title":"A continual learning survey: Defying forgetting in classification tasks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1909.08383","kind":"arxiv","version":3},"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:f1843e2169698ab9f750f8cd28f5e4b0f6ef1665a4ae9bb3a2fbd6af0e95e04c","target":"record","created_at":"2026-07-05T02:32:31Z","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":"13822e656f2f7cf9c983367527b46bfd900fbca98d3f307fdb205e357f07161f","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-09-18T12:07:36Z","title_canon_sha256":"7f2af61b88fc175c51af65d6f5fd26e6c321c9412042849b026becbf95db2a9c"},"schema_version":"1.0","source":{"id":"1909.08383","kind":"arxiv","version":3}},"canonical_sha256":"4c37227af963b824d200f46652cb3cc962ad78e18fd9a0f377f12991bb9ac0c2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4c37227af963b824d200f46652cb3cc962ad78e18fd9a0f377f12991bb9ac0c2","first_computed_at":"2026-07-05T02:32:31.201695Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:32:31.201695Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"retrTlP3boroQ4Ogm1G9UZ9zkZPsbudyWjpLaDZr+uSdDtgYe2cBVfTRCtz6uFaaYILGBevqw2cpmYWyR2wWAg==","signature_status":"signed_v1","signed_at":"2026-07-05T02:32:31.202193Z","signed_message":"canonical_sha256_bytes"},"source_id":"1909.08383","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f1843e2169698ab9f750f8cd28f5e4b0f6ef1665a4ae9bb3a2fbd6af0e95e04c","sha256:98f6f97eb9359458a1627603967267eaa4cf716fce425425d161277e97c9093d"],"state_sha256":"b8973b36faa35e316a92c79e33d74fe4a671352b5ccc2c552ced058b9d633afb"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+hM3oqxZz/L+lnwlWfycJVd7JAxlJwUg6jPAP7MuS+htDxrPahHltp2rZNf6Ge5IDFfAk/wtk9aHkgQ9pOi4Aw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-18T00:51:03.883583Z","bundle_sha256":"3566d2ebca523dd78869181fd15818c4015d93fdafaee4db42bc5f53ac95bf05"}}