{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:PRGWSFPYRLIH2GQFIIKXTCPDB4","short_pith_number":"pith:PRGWSFPY","canonical_record":{"source":{"id":"2106.07035","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2021-06-13T16:24:44Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"bbb765c7f67ea624746b7c7fd81fbc403b5734873befc613d2b478ce762c4c38","abstract_canon_sha256":"b8aa6774b8dbd8aa5ce53208a62ed9ad48a408f14b773325999bcba8dc014782"},"schema_version":"1.0"},"canonical_sha256":"7c4d6915f88ad07d1a0542157989e30f33683814a690b425918eddf0094b7304","source":{"kind":"arxiv","id":"2106.07035","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2106.07035","created_at":"2026-07-05T02:49:56Z"},{"alias_kind":"arxiv_version","alias_value":"2106.07035v1","created_at":"2026-07-05T02:49:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2106.07035","created_at":"2026-07-05T02:49:56Z"},{"alias_kind":"pith_short_12","alias_value":"PRGWSFPYRLIH","created_at":"2026-07-05T02:49:56Z"},{"alias_kind":"pith_short_16","alias_value":"PRGWSFPYRLIH2GQF","created_at":"2026-07-05T02:49:56Z"},{"alias_kind":"pith_short_8","alias_value":"PRGWSFPY","created_at":"2026-07-05T02:49:56Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:PRGWSFPYRLIH2GQFIIKXTCPDB4","target":"record","payload":{"canonical_record":{"source":{"id":"2106.07035","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2021-06-13T16:24:44Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"bbb765c7f67ea624746b7c7fd81fbc403b5734873befc613d2b478ce762c4c38","abstract_canon_sha256":"b8aa6774b8dbd8aa5ce53208a62ed9ad48a408f14b773325999bcba8dc014782"},"schema_version":"1.0"},"canonical_sha256":"7c4d6915f88ad07d1a0542157989e30f33683814a690b425918eddf0094b7304","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:49:56.076598Z","signature_b64":"rKRbd3wqkNqiIrzCxwUxgEUKLAEV59Ieb73hd6NaKlI33cd8jrWapxq6mxF+8tO7FvH1n5vQIhIsLeNSbiLpDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7c4d6915f88ad07d1a0542157989e30f33683814a690b425918eddf0094b7304","last_reissued_at":"2026-07-05T02:49:56.076139Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:49:56.076139Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2106.07035","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":"2026-07-05T02:49:56Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HE35XoO/huynvlN1wHl1rQG9xJEchIYbrW4dH7j52ajDgOSCjNmqjTUD+ztPbU0MaHimRD+RFVvVyNZTGz4PAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T15:29:43.946412Z"},"content_sha256":"1c72e5cb75f07b9c28dbf3fd7308b165aa5e202225ced841de9b1fe6d3c27db1","schema_version":"1.0","event_id":"sha256:1c72e5cb75f07b9c28dbf3fd7308b165aa5e202225ced841de9b1fe6d3c27db1"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:PRGWSFPYRLIH2GQFIIKXTCPDB4","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Deep Bayesian Unsupervised Lifelong Learning","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["stat.ML"],"primary_cat":"cs.LG","authors_text":"Aria Masoomi, Jennifer Dy, Tingting Zhao, Zifeng Wang","submitted_at":"2021-06-13T16:24:44Z","abstract_excerpt":"Lifelong Learning (LL) refers to the ability to continually learn and solve new problems with incremental available information over time while retaining previous knowledge. Much attention has been given lately to Supervised Lifelong Learning (SLL) with a stream of labelled data. In contrast, we focus on resolving challenges in Unsupervised Lifelong Learning (ULL) with streaming unlabelled data when the data distribution and the unknown class labels evolve over time. Bayesian framework is natural to incorporate past knowledge and sequentially update the belief with new data. We develop a fully"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2106.07035","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/2106.07035/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":"2026-07-05T02:49:56Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MnSPX1gCSO7I2SK9yGtiDC1uMPuY+O7b9qGXvot2WySsS6ShrQ+04Tfyt3HtfBE58Z9jwsQ1UYNMX1XaP/SOBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T15:29:43.947365Z"},"content_sha256":"0d6ceaaf162ddcb4986921cd3b861129ae5bc13fbdc464a0497b22896750d77a","schema_version":"1.0","event_id":"sha256:0d6ceaaf162ddcb4986921cd3b861129ae5bc13fbdc464a0497b22896750d77a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/PRGWSFPYRLIH2GQFIIKXTCPDB4/bundle.json","state_url":"https://pith.science/pith/PRGWSFPYRLIH2GQFIIKXTCPDB4/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/PRGWSFPYRLIH2GQFIIKXTCPDB4/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":"2026-08-13T15:29:43Z","links":{"resolver":"https://pith.science/pith/PRGWSFPYRLIH2GQFIIKXTCPDB4","bundle":"https://pith.science/pith/PRGWSFPYRLIH2GQFIIKXTCPDB4/bundle.json","state":"https://pith.science/pith/PRGWSFPYRLIH2GQFIIKXTCPDB4/state.json","well_known_bundle":"https://pith.science/.well-known/pith/PRGWSFPYRLIH2GQFIIKXTCPDB4/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:PRGWSFPYRLIH2GQFIIKXTCPDB4","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":"b8aa6774b8dbd8aa5ce53208a62ed9ad48a408f14b773325999bcba8dc014782","cross_cats_sorted":["stat.ML"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2021-06-13T16:24:44Z","title_canon_sha256":"bbb765c7f67ea624746b7c7fd81fbc403b5734873befc613d2b478ce762c4c38"},"schema_version":"1.0","source":{"id":"2106.07035","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2106.07035","created_at":"2026-07-05T02:49:56Z"},{"alias_kind":"arxiv_version","alias_value":"2106.07035v1","created_at":"2026-07-05T02:49:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2106.07035","created_at":"2026-07-05T02:49:56Z"},{"alias_kind":"pith_short_12","alias_value":"PRGWSFPYRLIH","created_at":"2026-07-05T02:49:56Z"},{"alias_kind":"pith_short_16","alias_value":"PRGWSFPYRLIH2GQF","created_at":"2026-07-05T02:49:56Z"},{"alias_kind":"pith_short_8","alias_value":"PRGWSFPY","created_at":"2026-07-05T02:49:56Z"}],"graph_snapshots":[{"event_id":"sha256:0d6ceaaf162ddcb4986921cd3b861129ae5bc13fbdc464a0497b22896750d77a","target":"graph","created_at":"2026-07-05T02:49:56Z","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/2106.07035/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Lifelong Learning (LL) refers to the ability to continually learn and solve new problems with incremental available information over time while retaining previous knowledge. Much attention has been given lately to Supervised Lifelong Learning (SLL) with a stream of labelled data. In contrast, we focus on resolving challenges in Unsupervised Lifelong Learning (ULL) with streaming unlabelled data when the data distribution and the unknown class labels evolve over time. Bayesian framework is natural to incorporate past knowledge and sequentially update the belief with new data. We develop a fully","authors_text":"Aria Masoomi, Jennifer Dy, Tingting Zhao, Zifeng Wang","cross_cats":["stat.ML"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2021-06-13T16:24:44Z","title":"Deep Bayesian Unsupervised Lifelong Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2106.07035","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":"sha256:1c72e5cb75f07b9c28dbf3fd7308b165aa5e202225ced841de9b1fe6d3c27db1","target":"record","created_at":"2026-07-05T02:49:56Z","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":"b8aa6774b8dbd8aa5ce53208a62ed9ad48a408f14b773325999bcba8dc014782","cross_cats_sorted":["stat.ML"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2021-06-13T16:24:44Z","title_canon_sha256":"bbb765c7f67ea624746b7c7fd81fbc403b5734873befc613d2b478ce762c4c38"},"schema_version":"1.0","source":{"id":"2106.07035","kind":"arxiv","version":1}},"canonical_sha256":"7c4d6915f88ad07d1a0542157989e30f33683814a690b425918eddf0094b7304","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7c4d6915f88ad07d1a0542157989e30f33683814a690b425918eddf0094b7304","first_computed_at":"2026-07-05T02:49:56.076139Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:49:56.076139Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"rKRbd3wqkNqiIrzCxwUxgEUKLAEV59Ieb73hd6NaKlI33cd8jrWapxq6mxF+8tO7FvH1n5vQIhIsLeNSbiLpDA==","signature_status":"signed_v1","signed_at":"2026-07-05T02:49:56.076598Z","signed_message":"canonical_sha256_bytes"},"source_id":"2106.07035","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1c72e5cb75f07b9c28dbf3fd7308b165aa5e202225ced841de9b1fe6d3c27db1","sha256:0d6ceaaf162ddcb4986921cd3b861129ae5bc13fbdc464a0497b22896750d77a"],"state_sha256":"42655f57bec82b55d85dac122691e3410798cfa02a9acf60016e60945fd7cae9"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5K5KnziQDu8L4rsa3nzKvZZMWZI3amQdjdU9o3KjyhHsDxd4IVjNm1xAo5FyWp4+4UvUVUSsFvt97RjxaozYBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-13T15:29:43.954523Z","bundle_sha256":"964720f162dfad0576d1c58180b8e3553ca46172b03f0f950139cb252e02f78b"}}