{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:6LHTKN5QG2TZLCL73C2E55QPY7","short_pith_number":"pith:6LHTKN5Q","canonical_record":{"source":{"id":"1911.09514","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2019-11-21T14:59:58Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"618796f51c74221001737d0e37be0dccde40e179ba8a464f611ca80290cd096b","abstract_canon_sha256":"87fc7ad05ed2fa44e41ac9baa2b5d1f572e16b12623574046be98ff49d5f6e53"},"schema_version":"1.0"},"canonical_sha256":"f2cf3537b036a795897fd8b44ef60fc7f76dcce7cae3f804b41c7a80d4790c28","source":{"kind":"arxiv","id":"1911.09514","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1911.09514","created_at":"2026-07-05T01:10:30Z"},{"alias_kind":"arxiv_version","alias_value":"1911.09514v2","created_at":"2026-07-05T01:10:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1911.09514","created_at":"2026-07-05T01:10:30Z"},{"alias_kind":"pith_short_12","alias_value":"6LHTKN5QG2TZ","created_at":"2026-07-05T01:10:30Z"},{"alias_kind":"pith_short_16","alias_value":"6LHTKN5QG2TZLCL7","created_at":"2026-07-05T01:10:30Z"},{"alias_kind":"pith_short_8","alias_value":"6LHTKN5Q","created_at":"2026-07-05T01:10:30Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:6LHTKN5QG2TZLCL73C2E55QPY7","target":"record","payload":{"canonical_record":{"source":{"id":"1911.09514","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2019-11-21T14:59:58Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"618796f51c74221001737d0e37be0dccde40e179ba8a464f611ca80290cd096b","abstract_canon_sha256":"87fc7ad05ed2fa44e41ac9baa2b5d1f572e16b12623574046be98ff49d5f6e53"},"schema_version":"1.0"},"canonical_sha256":"f2cf3537b036a795897fd8b44ef60fc7f76dcce7cae3f804b41c7a80d4790c28","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:10:30.076077Z","signature_b64":"+Z26gowTPeL8xn2Td8nZKKJn6y9wrbdvsGIZ5OB9RnGG18EK7d5B9bUYNcSMAHGOUrwgTuSPFh8F+GGzkxMsBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f2cf3537b036a795897fd8b44ef60fc7f76dcce7cae3f804b41c7a80d4790c28","last_reissued_at":"2026-07-05T01:10:30.075506Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:10:30.075506Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1911.09514","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":"2026-07-05T01:10:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6L719QtssIkSg6lRFQdZxFT8FmMVy/v9xvLksmsShHuI8hn1bgGMv/xGpSXhTjfZydSKPpIeKLTgv14M6qS3Bw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T11:01:33.288152Z"},"content_sha256":"cc6be4144ce2e762217e8d7f9808616062f56a2db8e7661fc9a9da96502cbff9","schema_version":"1.0","event_id":"sha256:cc6be4144ce2e762217e8d7f9808616062f56a2db8e7661fc9a9da96502cbff9"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:6LHTKN5QG2TZLCL73C2E55QPY7","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Continual Learning with Adaptive Weights (CLAW)","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"stat.ML","authors_text":"Han Zhao, Richard E. Turner, Tameem Adel","submitted_at":"2019-11-21T14:59:58Z","abstract_excerpt":"Approaches to continual learning aim to successfully learn a set of related tasks that arrive in an online manner. Recently, several frameworks have been developed which enable deep learning to be deployed in this learning scenario. A key modelling decision is to what extent the architecture should be shared across tasks. On the one hand, separately modelling each task avoids catastrophic forgetting but it does not support transfer learning and leads to large models. On the other hand, rigidly specifying a shared component and a task-specific part enables task transfer and limits the model siz"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1911.09514","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/1911.09514/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":"2026-07-05T01:10:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"NObTEUKxEdo6j1XXR5BB8YlwR50GqjYwkFsShURi5PjTt7n5/drRalthIieqwICpfTX69QgHT+nQ1nRRYipDDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T11:01:33.288681Z"},"content_sha256":"71b369dba434ed87cf86251f4a411842e6d9e75212025c2867be5d429bd65ae3","schema_version":"1.0","event_id":"sha256:71b369dba434ed87cf86251f4a411842e6d9e75212025c2867be5d429bd65ae3"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/6LHTKN5QG2TZLCL73C2E55QPY7/bundle.json","state_url":"https://pith.science/pith/6LHTKN5QG2TZLCL73C2E55QPY7/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/6LHTKN5QG2TZLCL73C2E55QPY7/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":"2026-08-09T11:01:33Z","links":{"resolver":"https://pith.science/pith/6LHTKN5QG2TZLCL73C2E55QPY7","bundle":"https://pith.science/pith/6LHTKN5QG2TZLCL73C2E55QPY7/bundle.json","state":"https://pith.science/pith/6LHTKN5QG2TZLCL73C2E55QPY7/state.json","well_known_bundle":"https://pith.science/.well-known/pith/6LHTKN5QG2TZLCL73C2E55QPY7/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:6LHTKN5QG2TZLCL73C2E55QPY7","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":"87fc7ad05ed2fa44e41ac9baa2b5d1f572e16b12623574046be98ff49d5f6e53","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2019-11-21T14:59:58Z","title_canon_sha256":"618796f51c74221001737d0e37be0dccde40e179ba8a464f611ca80290cd096b"},"schema_version":"1.0","source":{"id":"1911.09514","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1911.09514","created_at":"2026-07-05T01:10:30Z"},{"alias_kind":"arxiv_version","alias_value":"1911.09514v2","created_at":"2026-07-05T01:10:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1911.09514","created_at":"2026-07-05T01:10:30Z"},{"alias_kind":"pith_short_12","alias_value":"6LHTKN5QG2TZ","created_at":"2026-07-05T01:10:30Z"},{"alias_kind":"pith_short_16","alias_value":"6LHTKN5QG2TZLCL7","created_at":"2026-07-05T01:10:30Z"},{"alias_kind":"pith_short_8","alias_value":"6LHTKN5Q","created_at":"2026-07-05T01:10:30Z"}],"graph_snapshots":[{"event_id":"sha256:71b369dba434ed87cf86251f4a411842e6d9e75212025c2867be5d429bd65ae3","target":"graph","created_at":"2026-07-05T01:10:30Z","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/1911.09514/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Approaches to continual learning aim to successfully learn a set of related tasks that arrive in an online manner. Recently, several frameworks have been developed which enable deep learning to be deployed in this learning scenario. A key modelling decision is to what extent the architecture should be shared across tasks. On the one hand, separately modelling each task avoids catastrophic forgetting but it does not support transfer learning and leads to large models. On the other hand, rigidly specifying a shared component and a task-specific part enables task transfer and limits the model siz","authors_text":"Han Zhao, Richard E. Turner, Tameem Adel","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2019-11-21T14:59:58Z","title":"Continual Learning with Adaptive Weights (CLAW)"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1911.09514","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:cc6be4144ce2e762217e8d7f9808616062f56a2db8e7661fc9a9da96502cbff9","target":"record","created_at":"2026-07-05T01:10:30Z","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":"87fc7ad05ed2fa44e41ac9baa2b5d1f572e16b12623574046be98ff49d5f6e53","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2019-11-21T14:59:58Z","title_canon_sha256":"618796f51c74221001737d0e37be0dccde40e179ba8a464f611ca80290cd096b"},"schema_version":"1.0","source":{"id":"1911.09514","kind":"arxiv","version":2}},"canonical_sha256":"f2cf3537b036a795897fd8b44ef60fc7f76dcce7cae3f804b41c7a80d4790c28","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f2cf3537b036a795897fd8b44ef60fc7f76dcce7cae3f804b41c7a80d4790c28","first_computed_at":"2026-07-05T01:10:30.075506Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:10:30.075506Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"+Z26gowTPeL8xn2Td8nZKKJn6y9wrbdvsGIZ5OB9RnGG18EK7d5B9bUYNcSMAHGOUrwgTuSPFh8F+GGzkxMsBA==","signature_status":"signed_v1","signed_at":"2026-07-05T01:10:30.076077Z","signed_message":"canonical_sha256_bytes"},"source_id":"1911.09514","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:cc6be4144ce2e762217e8d7f9808616062f56a2db8e7661fc9a9da96502cbff9","sha256:71b369dba434ed87cf86251f4a411842e6d9e75212025c2867be5d429bd65ae3"],"state_sha256":"7b417df1238a2e7a6c3978d48363b5f2a2e585025fffeaf7c341bf901bef393c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4vLr4zzgA2j3Tct+SrJ4pR9G1LN/fG/sMHu84l3rn7gkvCbGla45fzQRvXYajc02xdKcnQvJsPkpTPIRybZ+DA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T11:01:33.292689Z","bundle_sha256":"0f105def416fb94a3a5a8a68de0fe60b246b83327bf84050826a94ec84345bfd"}}