{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:WQD4TSLVPDOZM5W4OJUOYWSRVZ","short_pith_number":"pith:WQD4TSLV","canonical_record":{"source":{"id":"2412.15563","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-12-20T04:44:41Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"a5f4aef6b65f126072a79c94c57ded22d934b69f5eb772d1f9627bfbca5e41a2","abstract_canon_sha256":"38b88af1bbb7d58ab376a1847ebac838c64afcad44c4c0adaa264d64ab7df27a"},"schema_version":"1.0"},"canonical_sha256":"b407c9c97578dd9676dc7268ec5a51ae565c2658c83bc1fee295781904e975cf","source":{"kind":"arxiv","id":"2412.15563","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.15563","created_at":"2026-07-05T09:52:25Z"},{"alias_kind":"arxiv_version","alias_value":"2412.15563v1","created_at":"2026-07-05T09:52:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.15563","created_at":"2026-07-05T09:52:25Z"},{"alias_kind":"pith_short_12","alias_value":"WQD4TSLVPDOZ","created_at":"2026-07-05T09:52:25Z"},{"alias_kind":"pith_short_16","alias_value":"WQD4TSLVPDOZM5W4","created_at":"2026-07-05T09:52:25Z"},{"alias_kind":"pith_short_8","alias_value":"WQD4TSLV","created_at":"2026-07-05T09:52:25Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:WQD4TSLVPDOZM5W4OJUOYWSRVZ","target":"record","payload":{"canonical_record":{"source":{"id":"2412.15563","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-12-20T04:44:41Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"a5f4aef6b65f126072a79c94c57ded22d934b69f5eb772d1f9627bfbca5e41a2","abstract_canon_sha256":"38b88af1bbb7d58ab376a1847ebac838c64afcad44c4c0adaa264d64ab7df27a"},"schema_version":"1.0"},"canonical_sha256":"b407c9c97578dd9676dc7268ec5a51ae565c2658c83bc1fee295781904e975cf","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:52:25.610709Z","signature_b64":"gcsysSnrPDmSLM5uM6gXaulyUeLQPmMr0vuttk/xYLArEwLhfl87sELmY3e+luL4H0ecO43FK55ubNg+DdGLCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b407c9c97578dd9676dc7268ec5a51ae565c2658c83bc1fee295781904e975cf","last_reissued_at":"2026-07-05T09:52:25.610275Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:52:25.610275Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2412.15563","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":"2026-07-05T09:52:25Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HAgwxXx/xpiGMRA9ploBsrBgpq5HEvbkerc+GyOZUlpS28SDSH+m+xgrO5QWDXuoUMqLnliej540r+SF5aP2Bw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T19:53:54.143726Z"},"content_sha256":"f45e8ae8cae9a2ee9ad6b1c194b0f48fda1f018d2d82398e3dfbdddfc5d4570e","schema_version":"1.0","event_id":"sha256:f45e8ae8cae9a2ee9ad6b1c194b0f48fda1f018d2d82398e3dfbdddfc5d4570e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:WQD4TSLVPDOZM5W4OJUOYWSRVZ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"In-context Continual Learning Assisted by an External Continual Learner","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.CL","authors_text":"Bing Liu, Sahisnu Mazumder, Saleh Momeni, Zixuan Ke","submitted_at":"2024-12-20T04:44:41Z","abstract_excerpt":"Existing continual learning (CL) methods mainly rely on fine-tuning or adapting large language models (LLMs). They still suffer from catastrophic forgetting (CF). Little work has been done to exploit in-context learning (ICL) to leverage the extensive knowledge within LLMs for CL without updating any parameters. However, incrementally learning each new task in ICL necessitates adding training examples from each class of the task to the prompt, which hampers scalability as the prompt length increases. This issue not only leads to excessively long prompts that exceed the input token limit of the"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.15563","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/2412.15563/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":"2026-07-05T09:52:25Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4f5cIfrUVmTjA1Cibtz2uytZOvYfrlFIpaRXyz61nSMVWClsd9DnRcwWZMXWuMnpZDxQrsea7maZWDNskLwjBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T19:53:54.144274Z"},"content_sha256":"005f311f6fc6b8a02fefa57dfcd00bab2b1225895471a5b86580ef78d0a7f268","schema_version":"1.0","event_id":"sha256:005f311f6fc6b8a02fefa57dfcd00bab2b1225895471a5b86580ef78d0a7f268"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/WQD4TSLVPDOZM5W4OJUOYWSRVZ/bundle.json","state_url":"https://pith.science/pith/WQD4TSLVPDOZM5W4OJUOYWSRVZ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/WQD4TSLVPDOZM5W4OJUOYWSRVZ/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":"2026-08-06T19:53:54Z","links":{"resolver":"https://pith.science/pith/WQD4TSLVPDOZM5W4OJUOYWSRVZ","bundle":"https://pith.science/pith/WQD4TSLVPDOZM5W4OJUOYWSRVZ/bundle.json","state":"https://pith.science/pith/WQD4TSLVPDOZM5W4OJUOYWSRVZ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/WQD4TSLVPDOZM5W4OJUOYWSRVZ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:WQD4TSLVPDOZM5W4OJUOYWSRVZ","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":"38b88af1bbb7d58ab376a1847ebac838c64afcad44c4c0adaa264d64ab7df27a","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-12-20T04:44:41Z","title_canon_sha256":"a5f4aef6b65f126072a79c94c57ded22d934b69f5eb772d1f9627bfbca5e41a2"},"schema_version":"1.0","source":{"id":"2412.15563","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.15563","created_at":"2026-07-05T09:52:25Z"},{"alias_kind":"arxiv_version","alias_value":"2412.15563v1","created_at":"2026-07-05T09:52:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.15563","created_at":"2026-07-05T09:52:25Z"},{"alias_kind":"pith_short_12","alias_value":"WQD4TSLVPDOZ","created_at":"2026-07-05T09:52:25Z"},{"alias_kind":"pith_short_16","alias_value":"WQD4TSLVPDOZM5W4","created_at":"2026-07-05T09:52:25Z"},{"alias_kind":"pith_short_8","alias_value":"WQD4TSLV","created_at":"2026-07-05T09:52:25Z"}],"graph_snapshots":[{"event_id":"sha256:005f311f6fc6b8a02fefa57dfcd00bab2b1225895471a5b86580ef78d0a7f268","target":"graph","created_at":"2026-07-05T09:52:25Z","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/2412.15563/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Existing continual learning (CL) methods mainly rely on fine-tuning or adapting large language models (LLMs). They still suffer from catastrophic forgetting (CF). Little work has been done to exploit in-context learning (ICL) to leverage the extensive knowledge within LLMs for CL without updating any parameters. However, incrementally learning each new task in ICL necessitates adding training examples from each class of the task to the prompt, which hampers scalability as the prompt length increases. This issue not only leads to excessively long prompts that exceed the input token limit of the","authors_text":"Bing Liu, Sahisnu Mazumder, Saleh Momeni, Zixuan Ke","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-12-20T04:44:41Z","title":"In-context Continual Learning Assisted by an External Continual Learner"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.15563","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:f45e8ae8cae9a2ee9ad6b1c194b0f48fda1f018d2d82398e3dfbdddfc5d4570e","target":"record","created_at":"2026-07-05T09:52:25Z","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":"38b88af1bbb7d58ab376a1847ebac838c64afcad44c4c0adaa264d64ab7df27a","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-12-20T04:44:41Z","title_canon_sha256":"a5f4aef6b65f126072a79c94c57ded22d934b69f5eb772d1f9627bfbca5e41a2"},"schema_version":"1.0","source":{"id":"2412.15563","kind":"arxiv","version":1}},"canonical_sha256":"b407c9c97578dd9676dc7268ec5a51ae565c2658c83bc1fee295781904e975cf","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b407c9c97578dd9676dc7268ec5a51ae565c2658c83bc1fee295781904e975cf","first_computed_at":"2026-07-05T09:52:25.610275Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:52:25.610275Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"gcsysSnrPDmSLM5uM6gXaulyUeLQPmMr0vuttk/xYLArEwLhfl87sELmY3e+luL4H0ecO43FK55ubNg+DdGLCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T09:52:25.610709Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.15563","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f45e8ae8cae9a2ee9ad6b1c194b0f48fda1f018d2d82398e3dfbdddfc5d4570e","sha256:005f311f6fc6b8a02fefa57dfcd00bab2b1225895471a5b86580ef78d0a7f268"],"state_sha256":"1c8576912cf466f40d049026ad6cfa6d5d24c1528f2ae928a5e18d82ec42c48b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JFt9MPBngfrhA2TEWW5+l/2u9PDmXs6vp7WdcYDZRH12P03L4L91LJ1vb4jZYHNdf1IxH2ewtm/og4hKWv6tCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T19:53:54.150079Z","bundle_sha256":"8b7f0f4dbcf0fb796671734ebb65e7f43ef354b36f97cd87be4aad146215b394"}}