{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:BNLJPJSKIF2UGHF6MQU7YLLUBQ","short_pith_number":"pith:BNLJPJSK","canonical_record":{"source":{"id":"2305.06555","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-05-11T04:19:08Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"8ee0467c2452c37bd3eaa7e586d28e2165d865bf3f955dd96b4c9af40d0efc9d","abstract_canon_sha256":"1930761286ad945a999f429cd4def72797fa0519c9e9908cec92ec408537f370"},"schema_version":"1.0"},"canonical_sha256":"0b5697a64a4175431cbe6429fc2d740c16558ca444429b1ebe1cde7c251100ad","source":{"kind":"arxiv","id":"2305.06555","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2305.06555","created_at":"2026-07-05T06:09:13Z"},{"alias_kind":"arxiv_version","alias_value":"2305.06555v1","created_at":"2026-07-05T06:09:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.06555","created_at":"2026-07-05T06:09:13Z"},{"alias_kind":"pith_short_12","alias_value":"BNLJPJSKIF2U","created_at":"2026-07-05T06:09:13Z"},{"alias_kind":"pith_short_16","alias_value":"BNLJPJSKIF2UGHF6","created_at":"2026-07-05T06:09:13Z"},{"alias_kind":"pith_short_8","alias_value":"BNLJPJSK","created_at":"2026-07-05T06:09:13Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:BNLJPJSKIF2UGHF6MQU7YLLUBQ","target":"record","payload":{"canonical_record":{"source":{"id":"2305.06555","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-05-11T04:19:08Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"8ee0467c2452c37bd3eaa7e586d28e2165d865bf3f955dd96b4c9af40d0efc9d","abstract_canon_sha256":"1930761286ad945a999f429cd4def72797fa0519c9e9908cec92ec408537f370"},"schema_version":"1.0"},"canonical_sha256":"0b5697a64a4175431cbe6429fc2d740c16558ca444429b1ebe1cde7c251100ad","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:09:13.921656Z","signature_b64":"WbjGDsCE3v6KaCcO/A+a/2aRja/w9cNKOFKAcow9CiKWV2FdsdFSQq+y3Vs/liZPtA4EyOcTfT4wGNRU/SRTAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0b5697a64a4175431cbe6429fc2d740c16558ca444429b1ebe1cde7c251100ad","last_reissued_at":"2026-07-05T06:09:13.921191Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:09:13.921191Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2305.06555","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":"2026-07-05T06:09:13Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"vAkeIaXSi2UuEBB5V8ZqR6Z+Tf8Id1RVW8k/XFNTQ33nRMjxim2No0XtIn1Z8daHt3RNLTfw9XjkMkpL7vN6CQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T10:39:18.130672Z"},"content_sha256":"839267127695d40686196ce73776d62357bce123a10c7d30543fc0b527ed1e67","schema_version":"1.0","event_id":"sha256:839267127695d40686196ce73776d62357bce123a10c7d30543fc0b527ed1e67"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:BNLJPJSKIF2UGHF6MQU7YLLUBQ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Domain Incremental Lifelong Learning in an Open World","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.CL","authors_text":"Bowen Yu, Fei Huang, Hao Lang, Yi Dai, Yinhe Zheng, Yongbin Li","submitted_at":"2023-05-11T04:19:08Z","abstract_excerpt":"Lifelong learning (LL) is an important ability for NLP models to learn new tasks continuously. Architecture-based approaches are reported to be effective implementations for LL models. However, it is non-trivial to extend previous approaches to domain incremental LL scenarios since they either require access to task identities in the testing phase or cannot handle samples from unseen tasks. In this paper, we propose \\textbf{Diana}: a \\underline{d}ynam\\underline{i}c \\underline{a}rchitecture-based lifelo\\underline{n}g le\\underline{a}rning model that tries to learn a sequence of tasks with a prom"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.06555","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/2305.06555/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":"2026-07-05T06:09:13Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FCUAkWGgrKzh6vgyJtvjn236mhVuwjwfyE6hksw7L9xyhmxxypQSP7tDKhFrRL5mIaVgoKzquZEHhIEVMQyIAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T10:39:18.131213Z"},"content_sha256":"ef740faad24cb0cc5b24d1461910b7a840b14a97521bb7289aa16bc9fc1459bc","schema_version":"1.0","event_id":"sha256:ef740faad24cb0cc5b24d1461910b7a840b14a97521bb7289aa16bc9fc1459bc"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/BNLJPJSKIF2UGHF6MQU7YLLUBQ/bundle.json","state_url":"https://pith.science/pith/BNLJPJSKIF2UGHF6MQU7YLLUBQ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/BNLJPJSKIF2UGHF6MQU7YLLUBQ/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":"2026-08-07T10:39:18Z","links":{"resolver":"https://pith.science/pith/BNLJPJSKIF2UGHF6MQU7YLLUBQ","bundle":"https://pith.science/pith/BNLJPJSKIF2UGHF6MQU7YLLUBQ/bundle.json","state":"https://pith.science/pith/BNLJPJSKIF2UGHF6MQU7YLLUBQ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/BNLJPJSKIF2UGHF6MQU7YLLUBQ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:BNLJPJSKIF2UGHF6MQU7YLLUBQ","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":"1930761286ad945a999f429cd4def72797fa0519c9e9908cec92ec408537f370","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-05-11T04:19:08Z","title_canon_sha256":"8ee0467c2452c37bd3eaa7e586d28e2165d865bf3f955dd96b4c9af40d0efc9d"},"schema_version":"1.0","source":{"id":"2305.06555","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2305.06555","created_at":"2026-07-05T06:09:13Z"},{"alias_kind":"arxiv_version","alias_value":"2305.06555v1","created_at":"2026-07-05T06:09:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.06555","created_at":"2026-07-05T06:09:13Z"},{"alias_kind":"pith_short_12","alias_value":"BNLJPJSKIF2U","created_at":"2026-07-05T06:09:13Z"},{"alias_kind":"pith_short_16","alias_value":"BNLJPJSKIF2UGHF6","created_at":"2026-07-05T06:09:13Z"},{"alias_kind":"pith_short_8","alias_value":"BNLJPJSK","created_at":"2026-07-05T06:09:13Z"}],"graph_snapshots":[{"event_id":"sha256:ef740faad24cb0cc5b24d1461910b7a840b14a97521bb7289aa16bc9fc1459bc","target":"graph","created_at":"2026-07-05T06:09:13Z","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/2305.06555/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Lifelong learning (LL) is an important ability for NLP models to learn new tasks continuously. Architecture-based approaches are reported to be effective implementations for LL models. However, it is non-trivial to extend previous approaches to domain incremental LL scenarios since they either require access to task identities in the testing phase or cannot handle samples from unseen tasks. In this paper, we propose \\textbf{Diana}: a \\underline{d}ynam\\underline{i}c \\underline{a}rchitecture-based lifelo\\underline{n}g le\\underline{a}rning model that tries to learn a sequence of tasks with a prom","authors_text":"Bowen Yu, Fei Huang, Hao Lang, Yi Dai, Yinhe Zheng, Yongbin Li","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-05-11T04:19:08Z","title":"Domain Incremental Lifelong Learning in an Open World"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.06555","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":"sha256:839267127695d40686196ce73776d62357bce123a10c7d30543fc0b527ed1e67","target":"record","created_at":"2026-07-05T06:09:13Z","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":"1930761286ad945a999f429cd4def72797fa0519c9e9908cec92ec408537f370","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-05-11T04:19:08Z","title_canon_sha256":"8ee0467c2452c37bd3eaa7e586d28e2165d865bf3f955dd96b4c9af40d0efc9d"},"schema_version":"1.0","source":{"id":"2305.06555","kind":"arxiv","version":1}},"canonical_sha256":"0b5697a64a4175431cbe6429fc2d740c16558ca444429b1ebe1cde7c251100ad","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0b5697a64a4175431cbe6429fc2d740c16558ca444429b1ebe1cde7c251100ad","first_computed_at":"2026-07-05T06:09:13.921191Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:09:13.921191Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"WbjGDsCE3v6KaCcO/A+a/2aRja/w9cNKOFKAcow9CiKWV2FdsdFSQq+y3Vs/liZPtA4EyOcTfT4wGNRU/SRTAg==","signature_status":"signed_v1","signed_at":"2026-07-05T06:09:13.921656Z","signed_message":"canonical_sha256_bytes"},"source_id":"2305.06555","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:839267127695d40686196ce73776d62357bce123a10c7d30543fc0b527ed1e67","sha256:ef740faad24cb0cc5b24d1461910b7a840b14a97521bb7289aa16bc9fc1459bc"],"state_sha256":"7f101a17b295edc6f163ed8adb9aa23de1af76febe11deb50214357ff663fa18"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ymJNxsBzk3WNP0RHGc4yVFYd7USsiKldNncPHAtpYN+MNOgcvYye9uS7pPVKvHlsA9knAT2fLfulZ7rnRahABA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T10:39:18.154747Z","bundle_sha256":"c15e6e2ad0a24e877200ed28e99a062f17ff3d80a7cd277b342bd74d608149e1"}}