{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:257IWD2CAEQ3K7LNP6T3JITD2M","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":"6376243f87d00f912407c56da709fbc74171b2d4ebeb334cc60f93e5e7b82075","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-02-07T07:14:11Z","title_canon_sha256":"dc618bb424a8d33a089e9f078e7c87142c6845719a295ab143fc7558071ddbc7"},"schema_version":"1.0","source":{"id":"2402.04624","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2402.04624","created_at":"2026-07-05T08:23:17Z"},{"alias_kind":"arxiv_version","alias_value":"2402.04624v2","created_at":"2026-07-05T08:23:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.04624","created_at":"2026-07-05T08:23:17Z"},{"alias_kind":"pith_short_12","alias_value":"257IWD2CAEQ3","created_at":"2026-07-05T08:23:17Z"},{"alias_kind":"pith_short_16","alias_value":"257IWD2CAEQ3K7LN","created_at":"2026-07-05T08:23:17Z"},{"alias_kind":"pith_short_8","alias_value":"257IWD2C","created_at":"2026-07-05T08:23:17Z"}],"graph_snapshots":[{"event_id":"sha256:25294e2307dc1dff9b72a3c96bd5ac7d0b790c60e8fc48dd2420dfc80482c5bd","target":"graph","created_at":"2026-07-05T08:23:17Z","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/2402.04624/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Existing Large Language Models (LLMs) usually remain static after deployment, which might make it hard to inject new knowledge into the model. We aim to build models containing a considerable portion of self-updatable parameters, enabling the model to integrate new knowledge effectively and efficiently. To this end, we introduce MEMORYLLM, a model that comprises a transformer and a fixed-size memory pool within the latent space of the transformer. MEMORYLLM can self-update with text knowledge and memorize the knowledge injected earlier. Our evaluations demonstrate the ability of MEMORYLLM to e","authors_text":"Bing Yin, Haoming Jiang, Jingbo Shang, Jingfeng Yang, Julian McAuley, Qingyu Yin, Shiyang Li, Xian Li, Xiusi Chen, Yifan Gao, Yu Wang, Zheng Li","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-02-07T07:14:11Z","title":"MEMORYLLM: Towards Self-Updatable Large Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.04624","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":"sha256:0449b6cc155a05be10497ff3be6f5aa9a4037817c866e1ffc51d8b0829cc7c11","target":"record","created_at":"2026-07-05T08:23:17Z","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":"6376243f87d00f912407c56da709fbc74171b2d4ebeb334cc60f93e5e7b82075","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-02-07T07:14:11Z","title_canon_sha256":"dc618bb424a8d33a089e9f078e7c87142c6845719a295ab143fc7558071ddbc7"},"schema_version":"1.0","source":{"id":"2402.04624","kind":"arxiv","version":2}},"canonical_sha256":"d77e8b0f420121b57d6d7fa7b4a263d32fc074f13b390fc73e8b5b36820c57eb","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d77e8b0f420121b57d6d7fa7b4a263d32fc074f13b390fc73e8b5b36820c57eb","first_computed_at":"2026-07-05T08:23:17.103953Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:23:17.103953Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"g/7B+bmGUuL8jDXoCxJWc+8v9ibU37VkTkwrapr50mz2zv/PrJKfYONVtYb4pJRxG6uyb+oLeYwAATlwzw6hCw==","signature_status":"signed_v1","signed_at":"2026-07-05T08:23:17.104486Z","signed_message":"canonical_sha256_bytes"},"source_id":"2402.04624","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0449b6cc155a05be10497ff3be6f5aa9a4037817c866e1ffc51d8b0829cc7c11","sha256:25294e2307dc1dff9b72a3c96bd5ac7d0b790c60e8fc48dd2420dfc80482c5bd"],"state_sha256":"5356cd5599d18eec44ada8b3a8a3f5c606cf66a281f9b79d8abfcc57f9e7ab02"}