{"as_of":"2026-08-07T20:25:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:3dc1173ada4166f953b5d26e833fb67cd319435e6c2a5c2d4f80bd02d64ca396","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":43,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":43,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":43,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":43,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T14:17:44.344757Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-04T00:29:15.805243Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2402.01364","last_updated":"2024-02-07T07:14:39Z","snapshot_observed_at":"2026-08-04T18:35:41.659861Z","submitted_at":"2024-02-02T12:34:09Z","title":"Continual Learning for Large Language Models: A Survey","version":2},"cited_work":{"arxiv_id":"2402.01364","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2402.01364","snapshot_observed_at":"2026-07-04T00:29:15.805243Z","title":"Continual learning for large language models: A survey","venue":null,"work_id":"f6bffa6b-e285-4f98-8b85-6f7ba5653cbd","year":2024},"citing_paper":{"arxiv_id":"2411.04832","last_updated":"2026-04-18T13:11:19Z","snapshot_observed_at":"2026-08-07T20:09:01.472991Z","submitted_at":"2024-11-07T16:13:54Z","title":"Plasticity Loss in Deep Reinforcement Learning: A Survey","version":3},"reference_index":108,"source":"pdf_text","source_observed_at":"2026-05-23T18:02:30.199552Z"},"links":{"cited_paper":"/paper/2402.01364","citing_paper":"/paper/2411.04832"},"observation_digest":"sha256:1530b51644a8ce2be62c2301ea0f362e446e4c9c5058206abf85c46a590c68ba","observation_id":"a366d8ec-e69d-4caa-aa29-b0e10018d33f","resolution":{"observed_at":"2026-05-23T18:03:18.182461Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.01364","last_updated":"2024-02-07T07:14:39Z","snapshot_observed_at":"2026-08-04T18:35:41.659861Z","submitted_at":"2024-02-02T12:34:09Z","title":"Continual Learning for Large Language Models: A Survey","version":2},"cited_work":{"arxiv_id":"2402.01364","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2402.01364","snapshot_observed_at":"2026-07-04T00:29:15.805243Z","title":"Continual learning for large language models: A survey","venue":null,"work_id":"f6bffa6b-e285-4f98-8b85-6f7ba5653cbd","year":2024},"citing_paper":{"arxiv_id":"2412.05579","last_updated":"2024-12-10T05:49:12Z","snapshot_observed_at":"2026-07-31T01:42:39.468673Z","submitted_at":"2024-12-07T08:07:24Z","title":"LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods","version":2},"reference_index":253,"source":"pdf_text","source_observed_at":"2026-05-11T23:08:34.312466Z"},"links":{"cited_paper":"/paper/2402.01364","citing_paper":"/paper/2412.05579"},"observation_digest":"sha256:7622b335b8536afebd742fad714421e75998f6235832371caaaaa6ba0c9d3a4c","observation_id":"c4bf6a63-b492-4314-9bd5-081f96ecbcc0","resolution":{"observed_at":"2026-05-11T23:08:35.702804Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.01364","last_updated":"2024-02-07T07:14:39Z","snapshot_observed_at":"2026-08-04T18:35:41.659861Z","submitted_at":"2024-02-02T12:34:09Z","title":"Continual Learning for Large Language Models: A Survey","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.01364","snapshot_observed_at":"2026-08-07T14:17:44.344757Z","title":"Continual learning for large language models: A survey.arXiv preprint arXiv:2402.01364,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.19475","last_updated":"2025-05-28T11:04:19Z","snapshot_observed_at":"2026-08-07T14:11:16.392835Z","submitted_at":"2025-05-26T03:54:47Z","title":"Continuous Self-Improvement of Large Language Models by Test-time Training with Verifier-Driven Sample Selection","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T14:17:44.344757Z"},"links":{"cited_paper":"/paper/2402.01364","citing_paper":"/paper/2505.19475"},"observation_digest":"sha256:63533e8f20356908a4d1ea2216497ebe60adca6668c11592cb4e11618bee387d","observation_id":"f2549d4f-86c9-4f5e-bba8-49617eedade3","resolution":{"observed_at":"2026-08-07T14:17:44.344757Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.01364","last_updated":"2024-02-07T07:14:39Z","snapshot_observed_at":"2026-08-04T18:35:41.659861Z","submitted_at":"2024-02-02T12:34:09Z","title":"Continual Learning for Large Language Models: A Survey","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.01364","snapshot_observed_at":"2026-08-07T12:07:25.660754Z","title":"Continual learning for large language models: A survey","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.00592","last_updated":"2025-05-31T14:58:22Z","snapshot_observed_at":"2026-08-07T11:59:42.277725Z","submitted_at":"2025-05-31T14:58:22Z","title":"Mitigating Plasticity Loss in Continual Reinforcement Learning by Reducing Churn","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T12:07:25.660754Z"},"links":{"cited_paper":"/paper/2402.01364","citing_paper":"/paper/2506.00592"},"observation_digest":"sha256:504816d191df47fad06c40e9c1bcf794669a74f746e6b6b7442e417c7e9261eb","observation_id":"456c8a55-bdc7-4a0e-aca0-dcc8c5803e59","resolution":{"observed_at":"2026-08-07T12:07:25.660754Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.01364","last_updated":"2024-02-07T07:14:39Z","snapshot_observed_at":"2026-08-04T18:35:41.659861Z","submitted_at":"2024-02-02T12:34:09Z","title":"Continual Learning for Large Language Models: A Survey","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.01364","snapshot_observed_at":"2026-08-07T12:03:13.143938Z","title":"Continual learning for large language models: A survey, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.00723","last_updated":"2025-05-31T21:49:17Z","snapshot_observed_at":"2026-08-07T11:57:07.802306Z","submitted_at":"2025-05-31T21:49:17Z","title":"Pitfalls in Evaluating Language Model Forecasters","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-07T12:03:13.143938Z"},"links":{"cited_paper":"/paper/2402.01364","citing_paper":"/paper/2506.00723"},"observation_digest":"sha256:7a7095628c752eb76ea0477681b034cb5434f3e49f9f5e25cdccb91d17b297c1","observation_id":"563017a7-53f1-4f38-8427-44b697a05264","resolution":{"observed_at":"2026-08-07T12:03:13.143938Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.01364","last_updated":"2024-02-07T07:14:39Z","snapshot_observed_at":"2026-08-04T18:35:41.659861Z","submitted_at":"2024-02-02T12:34:09Z","title":"Continual Learning for Large Language Models: A Survey","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.01364","snapshot_observed_at":"2026-08-07T11:46:58.525073Z","title":"Contin- ual learning for large language models: A survey,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.01496","last_updated":"2025-06-03T10:16:03Z","snapshot_observed_at":"2026-08-07T11:37:28.914196Z","submitted_at":"2025-06-02T09:59:35Z","title":"Continual Speech Learning with Fused Speech Features","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T11:46:58.525073Z"},"links":{"cited_paper":"/paper/2402.01364","citing_paper":"/paper/2506.01496"},"observation_digest":"sha256:38fc1312fcda40413ee82252851bc785c6bdc85ba6f844efb52d7690d82d3c8a","observation_id":"726e082f-ed53-489c-8209-30c6a92a0c51","resolution":{"observed_at":"2026-08-07T11:46:58.525073Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.01364","last_updated":"2024-02-07T07:14:39Z","snapshot_observed_at":"2026-08-04T18:35:41.659861Z","submitted_at":"2024-02-02T12:34:09Z","title":"Continual Learning for Large Language Models: A Survey","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.01364","snapshot_observed_at":"2026-08-07T11:36:40.908092Z","title":"Continual learn- ing for large language models: A survey.arXiv preprint arXiv:2402.01364, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.01872","last_updated":"2025-06-02T17:01:40Z","snapshot_observed_at":"2026-08-07T11:29:58.817503Z","submitted_at":"2025-06-02T17:01:40Z","title":"Is Extending Modality The Right Path Towards Omni-Modality?","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-07T11:36:40.908092Z"},"links":{"cited_paper":"/paper/2402.01364","citing_paper":"/paper/2506.01872"},"observation_digest":"sha256:fa755d99e9124b5dc0778c63b9e4f275a00bec64aa16adb404d55304aa8b1639","observation_id":"e6a6860c-0706-4fb5-9b00-4d29d8717c77","resolution":{"observed_at":"2026-08-07T11:36:40.908092Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.01364","last_updated":"2024-02-07T07:14:39Z","snapshot_observed_at":"2026-08-04T18:35:41.659861Z","submitted_at":"2024-02-02T12:34:09Z","title":"Continual Learning for Large Language Models: A Survey","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.01364","snapshot_observed_at":"2026-08-07T12:09:07.878789Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.02041","last_updated":"2025-05-31T09:02:38Z","snapshot_observed_at":"2026-08-07T12:02:08.498503Z","submitted_at":"2025-05-31T09:02:38Z","title":"Enhancing Multimodal Continual Instruction Tuning with BranchLoRA","version":1},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-07T12:09:07.878789Z"},"links":{"cited_paper":"/paper/2402.01364","citing_paper":"/paper/2506.02041"},"observation_digest":"sha256:cbfff660779fc6ee61037268c87b0f87c1193ad13fda62cc144746cab4916714","observation_id":"ab1cc3b8-1773-4cb9-915d-ca237cb47720","resolution":{"observed_at":"2026-08-07T12:09:07.878789Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.01364","last_updated":"2024-02-07T07:14:39Z","snapshot_observed_at":"2026-08-04T18:35:41.659861Z","submitted_at":"2024-02-02T12:34:09Z","title":"Continual Learning for Large Language Models: A Survey","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.01364","snapshot_observed_at":"2026-08-07T11:10:14.790774Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.03320","last_updated":"2025-06-03T19:06:41Z","snapshot_observed_at":"2026-08-07T11:04:05.891522Z","submitted_at":"2025-06-03T19:06:41Z","title":"The Future of Continual Learning in the Era of Foundation Models: Three Key Directions","version":1},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-07T11:10:14.790774Z"},"links":{"cited_paper":"/paper/2402.01364","citing_paper":"/paper/2506.03320"},"observation_digest":"sha256:292be01638bd992ed3b771a27188ef7982cad004fef560abff1bf44b6a14145c","observation_id":"a4f34592-cbbc-4a33-8ab8-1bb339c86fae","resolution":{"observed_at":"2026-08-07T11:10:14.790774Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.01364","last_updated":"2024-02-07T07:14:39Z","snapshot_observed_at":"2026-08-04T18:35:41.659861Z","submitted_at":"2024-02-02T12:34:09Z","title":"Continual Learning for Large Language Models: A Survey","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.01364","snapshot_observed_at":"2026-08-07T06:03:45.938974Z","title":"Continual learning for large language models: A survey","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.06137","last_updated":"2025-06-06T14:52:19Z","snapshot_observed_at":"2026-08-07T05:57:35.020221Z","submitted_at":"2025-06-06T14:52:19Z","title":"Table-r1: Self-supervised and Reinforcement Learning for Program-based Table Reasoning in Small Language Models","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-07T06:03:45.938974Z"},"links":{"cited_paper":"/paper/2402.01364","citing_paper":"/paper/2506.06137"},"observation_digest":"sha256:eabbd3e8bc274e3ada7b5c670a89deb57b9eab4c621e81f304796642abda7f10","observation_id":"be5740b2-467d-4104-8125-18f233b571b6","resolution":{"observed_at":"2026-08-07T06:03:45.938974Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.01364","last_updated":"2024-02-07T07:14:39Z","snapshot_observed_at":"2026-08-04T18:35:41.659861Z","submitted_at":"2024-02-02T12:34:09Z","title":"Continual Learning for Large Language Models: A Survey","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.01364","snapshot_observed_at":"2026-08-07T05:59:33.962759Z","title":"Yutong Wu, Jie Zhang, Florian Kerschbaum, and Tianwei Zhang","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.06518","last_updated":"2025-06-06T20:32:43Z","snapshot_observed_at":"2026-08-07T05:52:43.506241Z","submitted_at":"2025-06-06T20:32:43Z","title":"A Systematic Review of Poisoning Attacks Against Large Language Models","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-07T05:59:33.962759Z"},"links":{"cited_paper":"/paper/2402.01364","citing_paper":"/paper/2506.06518"},"observation_digest":"sha256:a48efb71d92960648781fe1ef2e60be34612df849e7cd76f2ebd5ce29f987a95","observation_id":"930d14a3-00b3-4f7d-934b-e96036f0b139","resolution":{"observed_at":"2026-08-07T05:59:33.962759Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.01364","last_updated":"2024-02-07T07:14:39Z","snapshot_observed_at":"2026-08-04T18:35:41.659861Z","submitted_at":"2024-02-02T12:34:09Z","title":"Continual Learning for Large Language Models: A Survey","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.01364","snapshot_observed_at":"2026-08-07T00:40:34.109256Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.13045","last_updated":"2025-08-24T10:01:04Z","snapshot_observed_at":"2026-08-07T00:34:58.147767Z","submitted_at":"2025-06-16T02:27:25Z","title":"Continual Learning for Generative AI: From LLMs to MLLMs and Beyond","version":4},"reference_index":215,"source":"pdf_text","source_observed_at":"2026-08-07T00:40:34.109256Z"},"links":{"cited_paper":"/paper/2402.01364","citing_paper":"/paper/2506.13045"},"observation_digest":"sha256:f796a78ca3dea820bf46e710ce0e339639676c3f65105052c4e59f5c66f6388a","observation_id":"cd3e91e7-638d-4646-b709-6e728d70096d","resolution":{"observed_at":"2026-08-07T00:40:34.109256Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.01364","last_updated":"2024-02-07T07:14:39Z","snapshot_observed_at":"2026-08-04T18:35:41.659861Z","submitted_at":"2024-02-02T12:34:09Z","title":"Continual Learning for Large Language Models: A Survey","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.01364","snapshot_observed_at":"2026-08-07T00:43:51.513729Z","title":"Con- tinual learning for large language models: A survey,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.13187","last_updated":"2025-06-16T07:55:14Z","snapshot_observed_at":"2026-08-07T00:34:27.804750Z","submitted_at":"2025-06-16T07:55:14Z","title":"Dynamic Context-oriented Decomposition for Task-aware Low-rank Adaptation with Less Forgetting and Faster Convergence","version":1},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-08-07T00:43:51.513729Z"},"links":{"cited_paper":"/paper/2402.01364","citing_paper":"/paper/2506.13187"},"observation_digest":"sha256:d58de17be333722ba72a40fb71bdfbad31b4b0f2e252c92350a18c3f13802c30","observation_id":"10af06ab-1c71-4686-9b39-c95862ac5a4d","resolution":{"observed_at":"2026-08-07T00:43:51.513729Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.01364","last_updated":"2024-02-07T07:14:39Z","snapshot_observed_at":"2026-08-04T18:35:41.659861Z","submitted_at":"2024-02-02T12:34:09Z","title":"Continual Learning for Large Language Models: A Survey","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.01364","snapshot_observed_at":"2026-08-06T21:20:09.686126Z","title":"Continual learning for large language models: A survey","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.00469","last_updated":"2025-07-01T06:28:57Z","snapshot_observed_at":"2026-08-07T08:41:36.700355Z","submitted_at":"2025-07-01T06:28:57Z","title":"Bisecle: Binding and Separation in Continual Learning for Video Language Understanding","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-06T21:20:09.686126Z"},"links":{"cited_paper":"/paper/2402.01364","citing_paper":"/paper/2507.00469"},"observation_digest":"sha256:c1400487c25e28d09bc0f0706d5afe23ac0b16cf367702f691b8c86e39530e72","observation_id":"9e3fc6f8-f047-4105-a42d-6c75416d9d4e","resolution":{"observed_at":"2026-08-06T21:20:09.686126Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.01364","last_updated":"2024-02-07T07:14:39Z","snapshot_observed_at":"2026-08-04T18:35:41.659861Z","submitted_at":"2024-02-02T12:34:09Z","title":"Continual Learning for Large Language Models: A Survey","version":2},"cited_work":{"arxiv_id":"2402.01364","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2402.01364","snapshot_observed_at":"2026-07-04T00:29:15.805243Z","title":"Continual learning for large language models: A survey","venue":null,"work_id":"f6bffa6b-e285-4f98-8b85-6f7ba5653cbd","year":2024},"citing_paper":{"arxiv_id":"2507.03617","last_updated":"2026-04-07T14:09:11Z","snapshot_observed_at":"2026-07-06T21:52:23.062910Z","submitted_at":"2025-07-04T14:43:21Z","title":"EMERGE: A Benchmark for Updating Knowledge Graphs with Emerging Textual Knowledge","version":2},"reference_index":70,"source":"arxiv_source","source_observed_at":"2026-05-19T06:03:40.874012Z"},"links":{"cited_paper":"/paper/2402.01364","citing_paper":"/paper/2507.03617"},"observation_digest":"sha256:ff57cc3b230c80bde67ed82527a1ad62157cc0cf4f2698b67a11bc9a11dc8508","observation_id":"8c2097e5-e5b9-4a6e-9836-95c69bde9327","resolution":{"observed_at":"2026-05-19T06:07:07.552746Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.01364","last_updated":"2024-02-07T07:14:39Z","snapshot_observed_at":"2026-08-04T18:35:41.659861Z","submitted_at":"2024-02-02T12:34:09Z","title":"Continual Learning for Large Language Models: A Survey","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.01364","snapshot_observed_at":"2026-08-05T10:34:46.795186Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.03934","last_updated":"2025-09-04T06:50:47Z","snapshot_observed_at":"2026-08-05T10:34:39.922254Z","submitted_at":"2025-09-04T06:50:47Z","title":"SelfAug: Mitigating Catastrophic Forgetting in Retrieval-Augmented Generation via Distribution Self-Alignment","version":1},"reference_index":83,"source":"arxiv_source","source_observed_at":"2026-08-05T10:34:46.795186Z"},"links":{"cited_paper":"/paper/2402.01364","citing_paper":"/paper/2509.03934"},"observation_digest":"sha256:d5a977121bf44452646275d9bfa030a8d03a7449fb3b7b6c52608bbd4c978d6b","observation_id":"5ea87402-3417-49e2-a15c-424e739cb0c9","resolution":{"observed_at":"2026-08-05T10:34:46.795186Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.01364","last_updated":"2024-02-07T07:14:39Z","snapshot_observed_at":"2026-08-04T18:35:41.659861Z","submitted_at":"2024-02-02T12:34:09Z","title":"Continual Learning for Large Language Models: A Survey","version":2},"cited_work":{"arxiv_id":"2402.01364","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2402.01364","snapshot_observed_at":"2026-07-04T00:29:15.805243Z","title":"Continual learning for large language models: A survey","venue":null,"work_id":"f6bffa6b-e285-4f98-8b85-6f7ba5653cbd","year":2024},"citing_paper":{"arxiv_id":"2509.17183","last_updated":"2026-04-08T01:32:04Z","snapshot_observed_at":"2026-08-02T13:27:11.357272Z","submitted_at":"2025-09-21T18:06:05Z","title":"LifeAlign: Lifelong Alignment for Large Language Models with Memory-Augmented Focalized Preference Optimization","version":3},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-05-18T14:46:45.598080Z"},"links":{"cited_paper":"/paper/2402.01364","citing_paper":"/paper/2509.17183"},"observation_digest":"sha256:4a7aa569a24a0c2bef56f855d54f7855045583eb646f8f5dbdbbd15410c77a69","observation_id":"28f4312b-c361-4034-9a6a-89568767f33f","resolution":{"observed_at":"2026-05-18T14:51:30.407863Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.01364","last_updated":"2024-02-07T07:14:39Z","snapshot_observed_at":"2026-08-04T18:35:41.659861Z","submitted_at":"2024-02-02T12:34:09Z","title":"Continual Learning for Large Language Models: A Survey","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.01364","snapshot_observed_at":"2026-08-04T08:49:34.512955Z","title":"Continual learning for large language models: A survey","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2510.18874","last_updated":"2026-06-26T02:22:44Z","snapshot_observed_at":"2026-08-04T15:02:09.340673Z","submitted_at":"2025-10-21T17:59:41Z","title":"Retaining by Doing: The Role of On-Policy Data in Mitigating Forgetting","version":3},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-04T08:49:34.512955Z"},"links":{"cited_paper":"/paper/2402.01364","citing_paper":"/paper/2510.18874"},"observation_digest":"sha256:ee15ad7a502bb43bc28ef921439c16389ffdb46fbd13b2fb88380e70fb9459df","observation_id":"d2e18458-78fa-4378-9fe4-b6d48b571ed4","resolution":{"observed_at":"2026-08-04T08:49:34.512955Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.01364","last_updated":"2024-02-07T07:14:39Z","snapshot_observed_at":"2026-08-04T18:35:41.659861Z","submitted_at":"2024-02-02T12:34:09Z","title":"Continual Learning for Large Language Models: A Survey","version":2},"cited_work":{"arxiv_id":"2402.01364","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2402.01364","snapshot_observed_at":"2026-07-04T00:29:15.805243Z","title":"Continual learning for large language models: A survey","venue":null,"work_id":"f6bffa6b-e285-4f98-8b85-6f7ba5653cbd","year":2024},"citing_paper":{"arxiv_id":"2603.13683","last_updated":"2026-07-31T13:23:46Z","snapshot_observed_at":"2026-08-06T08:27:28.683771Z","submitted_at":"2026-03-14T01:37:23Z","title":"Preconditioned Test-Time Adaptation for Out-of-Distribution Debiasing in Narrative Generation","version":3},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-15T12:13:24.420641Z"},"links":{"cited_paper":"/paper/2402.01364","citing_paper":"/paper/2603.13683"},"observation_digest":"sha256:f575cbfe2eee5fdb6874edf550ace3163fd0f4aac47c8fb6383d60cd61de9ffc","observation_id":"7b60eb24-951e-4d69-a78c-9266cfdd0597","resolution":{"observed_at":"2026-05-15T12:15:34.534939Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.01364","last_updated":"2024-02-07T07:14:39Z","snapshot_observed_at":"2026-08-04T18:35:41.659861Z","submitted_at":"2024-02-02T12:34:09Z","title":"Continual Learning for Large Language Models: A Survey","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.01364","snapshot_observed_at":"2026-08-03T02:35:46.214786Z","title":"InPro- ceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 7201–7211","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2603.13683","last_updated":"2026-07-31T13:23:46Z","snapshot_observed_at":"2026-08-06T08:27:28.683771Z","submitted_at":"2026-03-14T01:37:23Z","title":"Preconditioned Test-Time Adaptation for Out-of-Distribution Debiasing in Narrative Generation","version":4},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-03T02:35:46.214786Z"},"links":{"cited_paper":"/paper/2402.01364","citing_paper":"/paper/2603.13683"},"observation_digest":"sha256:0eb4e0d3b83ccc7b93f8174513f5470729fdce753a9f93e7e2b571d97af1e874","observation_id":"54b9c9d7-a539-4086-b215-ee252f95fea7","resolution":{"observed_at":"2026-08-03T02:35:46.214786Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.01364","last_updated":"2024-02-07T07:14:39Z","snapshot_observed_at":"2026-08-04T18:35:41.659861Z","submitted_at":"2024-02-02T12:34:09Z","title":"Continual Learning for Large Language Models: A Survey","version":2},"cited_work":{"arxiv_id":"2402.01364","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2402.01364","snapshot_observed_at":"2026-07-04T00:29:15.805243Z","title":"Continual learning for large language models: A survey","venue":null,"work_id":"f6bffa6b-e285-4f98-8b85-6f7ba5653cbd","year":2024},"citing_paper":{"arxiv_id":"2604.14718","last_updated":"2026-04-16T07:27:57Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-16T07:27:57Z","title":"The Agentification of Scientific Research: A Physicist's Perspective","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-05-10T11:12:32.165086Z"},"links":{"cited_paper":"/paper/2402.01364","citing_paper":"/paper/2604.14718"},"observation_digest":"sha256:23a2af62157c1d00bc954f0c13e886c2a763379ea3c909898037e1c0165865a9","observation_id":"fa03ab17-8281-456c-b66c-2a337552bed6","resolution":{"observed_at":"2026-05-10T11:15:11.126259Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.01364","last_updated":"2024-02-07T07:14:39Z","snapshot_observed_at":"2026-08-04T18:35:41.659861Z","submitted_at":"2024-02-02T12:34:09Z","title":"Continual Learning for Large Language Models: A Survey","version":2},"cited_work":{"arxiv_id":"2402.01364","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2402.01364","snapshot_observed_at":"2026-07-04T00:29:15.805243Z","title":"Continual learning for large language models: A survey","venue":null,"work_id":"f6bffa6b-e285-4f98-8b85-6f7ba5653cbd","year":2024},"citing_paper":{"arxiv_id":"2605.05495","last_updated":"2026-05-06T22:31:59Z","snapshot_observed_at":"2026-07-06T23:18:07.750358Z","submitted_at":"2026-05-06T22:31:59Z","title":"Shortcut Solutions Learned by Transformers Impair Continual Compositional Reasoning","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-08T16:42:08.322419Z"},"links":{"cited_paper":"/paper/2402.01364","citing_paper":"/paper/2605.05495"},"observation_digest":"sha256:d7a686562e43e8060b496365874c31a5eb95b914fd231e5959355bd24d140320","observation_id":"db95e6fe-35b0-4dd0-9d6f-edc70e1039b2","resolution":{"observed_at":"2026-05-11T18:06:05.490509Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.01364","last_updated":"2024-02-07T07:14:39Z","snapshot_observed_at":"2026-08-04T18:35:41.659861Z","submitted_at":"2024-02-02T12:34:09Z","title":"Continual Learning for Large Language Models: A Survey","version":2},"cited_work":{"arxiv_id":"2402.01364","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2402.01364","snapshot_observed_at":"2026-07-04T00:29:15.805243Z","title":"Continual learning for large language models: A survey","venue":null,"work_id":"f6bffa6b-e285-4f98-8b85-6f7ba5653cbd","year":2024},"citing_paper":{"arxiv_id":"2605.10391","last_updated":"2026-05-11T11:36:37Z","snapshot_observed_at":"2026-07-06T23:22:23.287792Z","submitted_at":"2026-05-11T11:36:37Z","title":"Phoenix-VL 1.5 Medium Technical Report","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-05-12T04:41:27.144815Z"},"links":{"cited_paper":"/paper/2402.01364","citing_paper":"/paper/2605.10391"},"observation_digest":"sha256:fda9f68ae3cea370510e334828af19100a9d2066ed390a3963fc563e79b8b272","observation_id":"3f515dd3-2789-41dc-bd29-38f0e1c64013","resolution":{"observed_at":"2026-05-12T06:01:24.882774Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.01364","last_updated":"2024-02-07T07:14:39Z","snapshot_observed_at":"2026-08-04T18:35:41.659861Z","submitted_at":"2024-02-02T12:34:09Z","title":"Continual Learning for Large Language Models: A Survey","version":2},"cited_work":{"arxiv_id":"2402.01364","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2402.01364","snapshot_observed_at":"2026-07-04T00:29:15.805243Z","title":"Continual learning for large language models: A survey","venue":null,"work_id":"f6bffa6b-e285-4f98-8b85-6f7ba5653cbd","year":2024},"citing_paper":{"arxiv_id":"2605.10765","last_updated":"2026-05-11T15:59:06Z","snapshot_observed_at":"2026-07-30T15:20:46.313238Z","submitted_at":"2026-05-11T15:59:06Z","title":"Dynamic Cross-Modal Prompt Generation for Multimodal Continual Instruction Tuning","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-05-12T03:27:45.784361Z"},"links":{"cited_paper":"/paper/2402.01364","citing_paper":"/paper/2605.10765"},"observation_digest":"sha256:da702f38fc643d921f576c15c5b1daf983a1e15e5a907b48e2fd1db644669bdb","observation_id":"2ced553a-6262-4b05-a0a2-db8638a237f9","resolution":{"observed_at":"2026-05-12T07:21:25.195079Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.01364","last_updated":"2024-02-07T07:14:39Z","snapshot_observed_at":"2026-08-04T18:35:41.659861Z","submitted_at":"2024-02-02T12:34:09Z","title":"Continual Learning for Large Language Models: A Survey","version":2},"cited_work":{"arxiv_id":"2402.01364","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2402.01364","snapshot_observed_at":"2026-07-04T00:29:15.805243Z","title":"Continual learning for large language models: A survey","venue":null,"work_id":"f6bffa6b-e285-4f98-8b85-6f7ba5653cbd","year":2024},"citing_paper":{"arxiv_id":"2605.15104","last_updated":"2026-05-20T10:20:54Z","snapshot_observed_at":"2026-07-06T23:26:28.006734Z","submitted_at":"2026-05-14T17:22:42Z","title":"From Text to Voice: A Reproducible and Verifiable Framework for Evaluating Tool Calling LLM Agents","version":2},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-05-21T08:45:56.550821Z"},"links":{"cited_paper":"/paper/2402.01364","citing_paper":"/paper/2605.15104"},"observation_digest":"sha256:b0e723f04b72c3e925ce13a55d40784fe41fdbf3edad613dbeae09ea56aaf80c","observation_id":"3f3b1322-ce79-46db-bdc2-666e0c76d7ff","resolution":{"observed_at":"2026-05-21T08:49:53.642624Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.01364","last_updated":"2024-02-07T07:14:39Z","snapshot_observed_at":"2026-08-04T18:35:41.659861Z","submitted_at":"2024-02-02T12:34:09Z","title":"Continual Learning for Large Language Models: A Survey","version":2},"cited_work":{"arxiv_id":"2402.01364","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2402.01364","snapshot_observed_at":"2026-07-04T00:29:15.805243Z","title":"Continual learning for large language models: A survey","venue":null,"work_id":"f6bffa6b-e285-4f98-8b85-6f7ba5653cbd","year":2024},"citing_paper":{"arxiv_id":"2605.15156","last_updated":"2026-05-20T17:53:38Z","snapshot_observed_at":"2026-07-06T23:26:28.006734Z","submitted_at":"2026-05-14T17:51:34Z","title":"MeMo: Memory as a Model","version":1},"reference_index":81,"source":"pdf_text","source_observed_at":"2026-05-15T03:17:23.202604Z"},"links":{"cited_paper":"/paper/2402.01364","citing_paper":"/paper/2605.15156"},"observation_digest":"sha256:02131a924a0a645e75dfc0bc0bbeccfc5e40d48281fa913377425a8d9a88934f","observation_id":"b022a7f4-3761-46c0-ac90-1a1793432e62","resolution":{"observed_at":"2026-05-15T03:19:43.451662Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.01364","last_updated":"2024-02-07T07:14:39Z","snapshot_observed_at":"2026-08-04T18:35:41.659861Z","submitted_at":"2024-02-02T12:34:09Z","title":"Continual Learning for Large Language Models: A Survey","version":2},"cited_work":{"arxiv_id":"2402.01364","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2402.01364","snapshot_observed_at":"2026-07-04T00:29:15.805243Z","title":"Continual learning for large language models: A survey","venue":null,"work_id":"f6bffa6b-e285-4f98-8b85-6f7ba5653cbd","year":2024},"citing_paper":{"arxiv_id":"2605.15156","last_updated":"2026-05-20T17:53:38Z","snapshot_observed_at":"2026-07-06T23:26:28.006734Z","submitted_at":"2026-05-14T17:51:34Z","title":"MeMo: Memory as a Model","version":2},"reference_index":82,"source":"pdf_text","source_observed_at":"2026-05-21T08:36:31.022046Z"},"links":{"cited_paper":"/paper/2402.01364","citing_paper":"/paper/2605.15156"},"observation_digest":"sha256:dcbab751689ed2d4da9519286e3bb901940eaca19ee36e91ac5d7278319a85b0","observation_id":"2f75d670-cf81-4465-a3db-238bbb9110b0","resolution":{"observed_at":"2026-05-21T08:39:53.689378Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.01364","last_updated":"2024-02-07T07:14:39Z","snapshot_observed_at":"2026-08-04T18:35:41.659861Z","submitted_at":"2024-02-02T12:34:09Z","title":"Continual Learning for Large Language Models: A Survey","version":2},"cited_work":{"arxiv_id":"2402.01364","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2402.01364","snapshot_observed_at":"2026-07-04T00:29:15.805243Z","title":"Continual learning for large language models: A survey","venue":null,"work_id":"f6bffa6b-e285-4f98-8b85-6f7ba5653cbd","year":2024},"citing_paper":{"arxiv_id":"2605.15384","last_updated":"2026-05-14T20:15:22Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-05-14T20:15:22Z","title":"Is One Score Enough? Rethinking the Evaluation of Sequentially Evolving LLM Memory","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-05-19T16:43:37.472644Z"},"links":{"cited_paper":"/paper/2402.01364","citing_paper":"/paper/2605.15384"},"observation_digest":"sha256:35f8568c25c12bf772187a3cdefd0f2f89f51123bcd2107d0246a3cc0115064e","observation_id":"75deadf3-aa15-4bbc-9f59-e0fe92afc671","resolution":{"observed_at":"2026-05-19T16:47:40.484917Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.01364","last_updated":"2024-02-07T07:14:39Z","snapshot_observed_at":"2026-08-04T18:35:41.659861Z","submitted_at":"2024-02-02T12:34:09Z","title":"Continual Learning for Large Language Models: A Survey","version":2},"cited_work":{"arxiv_id":"2402.01364","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2402.01364","snapshot_observed_at":"2026-07-04T00:29:15.805243Z","title":"Continual learning for large language models: A survey","venue":null,"work_id":"f6bffa6b-e285-4f98-8b85-6f7ba5653cbd","year":2024},"citing_paper":{"arxiv_id":"2605.17361","last_updated":"2026-07-09T07:36:31Z","snapshot_observed_at":"2026-07-12T23:17:31.709829Z","submitted_at":"2026-05-17T09:58:58Z","title":"MasFACT: Continual Multi-Agent Topology Learning via Geometry-Aware Posterior Transfer","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-05-20T14:35:46.376752Z"},"links":{"cited_paper":"/paper/2402.01364","citing_paper":"/paper/2605.17361"},"observation_digest":"sha256:da568cb8457f2534d05562ae4f51e346a853c3559cc2243ffcd470e63c7b168a","observation_id":"1d4def46-75f5-4171-a7f9-92dafd500dcb","resolution":{"observed_at":"2026-05-20T14:38:21.612825Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.01364","last_updated":"2024-02-07T07:14:39Z","snapshot_observed_at":"2026-08-04T18:35:41.659861Z","submitted_at":"2024-02-02T12:34:09Z","title":"Continual Learning for Large Language Models: A Survey","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.01364","snapshot_observed_at":"2026-07-12T16:38:30.296706Z","title":"Continual learning for large language models: A survey.arXiv preprint arXiv:2402.01364, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2605.17361","last_updated":"2026-07-09T07:36:31Z","snapshot_observed_at":"2026-07-12T23:17:31.709829Z","submitted_at":"2026-05-17T09:58:58Z","title":"MasFACT: Continual Multi-Agent Topology Learning via Geometry-Aware Posterior Transfer","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-07-12T16:38:30.296706Z"},"links":{"cited_paper":"/paper/2402.01364","citing_paper":"/paper/2605.17361"},"observation_digest":"sha256:d3201af26407868210c41eaac5f60fa067f866cebc92aec946ed14ca941ff0e8","observation_id":"0e0b418c-0ea1-42f1-94f0-5fc70f223110","resolution":{"observed_at":"2026-07-12T16:38:30.296706Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.01364","last_updated":"2024-02-07T07:14:39Z","snapshot_observed_at":"2026-08-04T18:35:41.659861Z","submitted_at":"2024-02-02T12:34:09Z","title":"Continual Learning for Large Language Models: A Survey","version":2},"cited_work":{"arxiv_id":"2402.01364","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2402.01364","snapshot_observed_at":"2026-07-04T00:29:15.805243Z","title":"Continual learning for large language models: A survey","venue":null,"work_id":"f6bffa6b-e285-4f98-8b85-6f7ba5653cbd","year":2024},"citing_paper":{"arxiv_id":"2605.26097","last_updated":"2026-05-25T17:54:34Z","snapshot_observed_at":"2026-07-06T23:36:01.564747Z","submitted_at":"2026-05-25T17:54:34Z","title":"Forgetting in Language Models: Capacity, Optimization, and Self-Generated Replay","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-06-29T23:15:45.174086Z"},"links":{"cited_paper":"/paper/2402.01364","citing_paper":"/paper/2605.26097"},"observation_digest":"sha256:4a2df2757ec226cf8db30f0978e3aafd22fdee15c26466ad58125d2ec9fd7c58","observation_id":"efddcd3c-038b-4381-bd2f-b9666a90bfeb","resolution":{"observed_at":"2026-06-29T23:24:01.944699Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.01364","last_updated":"2024-02-07T07:14:39Z","snapshot_observed_at":"2026-08-04T18:35:41.659861Z","submitted_at":"2024-02-02T12:34:09Z","title":"Continual Learning for Large Language Models: A Survey","version":2},"cited_work":{"arxiv_id":"2402.01364","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2402.01364","snapshot_observed_at":"2026-07-04T00:29:15.805243Z","title":"Continual learning for large language models: A survey","venue":null,"work_id":"f6bffa6b-e285-4f98-8b85-6f7ba5653cbd","year":2024},"citing_paper":{"arxiv_id":"2605.30857","last_updated":"2026-05-29T05:28:36Z","snapshot_observed_at":"2026-07-30T16:26:50.901854Z","submitted_at":"2026-05-29T05:28:36Z","title":"MADS: Model-Aware Diverse Core Set Selection for Instruction Tuning","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-06-28T22:53:48.040141Z"},"links":{"cited_paper":"/paper/2402.01364","citing_paper":"/paper/2605.30857"},"observation_digest":"sha256:37d94391c180e3f4ba69fe56983650dc5c16a436aa72f217586414fdb733a0ce","observation_id":"11f9169f-12ac-42c4-983c-554a2773051e","resolution":{"observed_at":"2026-07-01T19:16:01.026834Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.01364","last_updated":"2024-02-07T07:14:39Z","snapshot_observed_at":"2026-08-04T18:35:41.659861Z","submitted_at":"2024-02-02T12:34:09Z","title":"Continual Learning for Large Language Models: A Survey","version":2},"cited_work":{"arxiv_id":"2402.01364","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2402.01364","snapshot_observed_at":"2026-07-04T00:29:15.805243Z","title":"Continual learning for large language models: A survey","venue":null,"work_id":"f6bffa6b-e285-4f98-8b85-6f7ba5653cbd","year":2024},"citing_paper":{"arxiv_id":"2606.04703","last_updated":"2026-06-03T10:30:09Z","snapshot_observed_at":"2026-07-06T23:44:47.848374Z","submitted_at":"2026-06-03T10:30:09Z","title":"Rethinking Continual Experience Internalization for Self-Evolving LLM Agents","version":1},"reference_index":74,"source":"arxiv_source","source_observed_at":"2026-06-28T06:29:11.398007Z"},"links":{"cited_paper":"/paper/2402.01364","citing_paper":"/paper/2606.04703"},"observation_digest":"sha256:083ab4ff530fbf07ab3fa780427e66f339e9f8c6ec005ac1e8e6f337d90b789c","observation_id":"4c654f57-05d5-4083-8d32-931094b85822","resolution":{"observed_at":"2026-07-02T07:56:47.817667Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.01364","last_updated":"2024-02-07T07:14:39Z","snapshot_observed_at":"2026-08-04T18:35:41.659861Z","submitted_at":"2024-02-02T12:34:09Z","title":"Continual Learning for Large Language Models: A Survey","version":2},"cited_work":{"arxiv_id":"2402.01364","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2402.01364","snapshot_observed_at":"2026-07-04T00:29:15.805243Z","title":"Continual learning for large language models: A survey","venue":null,"work_id":"f6bffa6b-e285-4f98-8b85-6f7ba5653cbd","year":2024},"citing_paper":{"arxiv_id":"2606.06698","last_updated":"2026-06-09T16:52:55Z","snapshot_observed_at":"2026-08-03T01:34:19.997764Z","submitted_at":"2026-06-04T20:35:15Z","title":"RECAP: Regression Evaluation for Continual Adaptation of Prompts","version":3},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-06-28T02:24:52.140361Z"},"links":{"cited_paper":"/paper/2402.01364","citing_paper":"/paper/2606.06698"},"observation_digest":"sha256:8a886b70a795e07da4e010fc95dd9f5c196e749bd380a2550ce45e2f0573b021","observation_id":"7dc1f29e-3501-4036-b547-1dbac22bf3ed","resolution":{"observed_at":"2026-07-02T12:06:56.294379Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.01364","last_updated":"2024-02-07T07:14:39Z","snapshot_observed_at":"2026-08-04T18:35:41.659861Z","submitted_at":"2024-02-02T12:34:09Z","title":"Continual Learning for Large Language Models: A Survey","version":2},"cited_work":{"arxiv_id":"2402.01364","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2402.01364","snapshot_observed_at":"2026-07-04T00:29:15.805243Z","title":"Continual learning for large language models: A survey","venue":null,"work_id":"f6bffa6b-e285-4f98-8b85-6f7ba5653cbd","year":2024},"citing_paper":{"arxiv_id":"2606.07500","last_updated":"2026-06-05T17:53:52Z","snapshot_observed_at":"2026-07-06T23:47:10.030985Z","submitted_at":"2026-06-05T17:53:52Z","title":"Sparse Subspace-to-Expert Sharing for Task-Agnostic Continual Learning","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-06-27T22:15:36.264240Z"},"links":{"cited_paper":"/paper/2402.01364","citing_paper":"/paper/2606.07500"},"observation_digest":"sha256:346c16e1f7bf80893fe62c25a7f44711033ff64c2ae44703c3b01235c92c5da1","observation_id":"9d0e9491-fb4b-48cc-916a-e5d72961f533","resolution":{"observed_at":"2026-07-02T16:57:10.231994Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.01364","last_updated":"2024-02-07T07:14:39Z","snapshot_observed_at":"2026-08-04T18:35:41.659861Z","submitted_at":"2024-02-02T12:34:09Z","title":"Continual Learning for Large Language Models: A Survey","version":2},"cited_work":{"arxiv_id":"2402.01364","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2402.01364","snapshot_observed_at":"2026-07-04T00:29:15.805243Z","title":"Continual learning for large language models: A survey","venue":null,"work_id":"f6bffa6b-e285-4f98-8b85-6f7ba5653cbd","year":2024},"citing_paper":{"arxiv_id":"2606.21089","last_updated":"2026-06-17T18:02:03Z","snapshot_observed_at":"2026-08-07T09:40:52.101340Z","submitted_at":"2026-06-17T18:02:03Z","title":"Repeated post-training is not Self-improving: Diagnosing Scientific Amnesia in Continual DPO Pipelines","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-06-26T21:12:05.209407Z"},"links":{"cited_paper":"/paper/2402.01364","citing_paper":"/paper/2606.21089"},"observation_digest":"sha256:79685b79a13bebe3e4533389868b6a5b85f0dd400ab0ea0ad7ab86826fed9bd4","observation_id":"a875d461-13d3-4c59-93f0-3dfeb8f80d25","resolution":{"observed_at":"2026-07-04T00:29:15.808388Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.01364","last_updated":"2024-02-07T07:14:39Z","snapshot_observed_at":"2026-08-04T18:35:41.659861Z","submitted_at":"2024-02-02T12:34:09Z","title":"Continual Learning for Large Language Models: A Survey","version":2},"cited_work":{"arxiv_id":"2402.01364","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2402.01364","snapshot_observed_at":"2026-07-04T00:29:15.805243Z","title":"Continual learning for large language models: A survey","venue":null,"work_id":"f6bffa6b-e285-4f98-8b85-6f7ba5653cbd","year":2024},"citing_paper":{"arxiv_id":"2606.24901","last_updated":"2026-06-12T13:44:48Z","snapshot_observed_at":"2026-08-03T03:21:51.293576Z","submitted_at":"2026-06-12T13:44:48Z","title":"LLM Evolution as an Industry-Scale Ecosystem: A Lifecycle Perspective on Continual Learning","version":1},"reference_index":116,"source":"pdf_text","source_observed_at":"2026-06-27T05:02:18.347642Z"},"links":{"cited_paper":"/paper/2402.01364","citing_paper":"/paper/2606.24901"},"observation_digest":"sha256:a3f51196eefbd6a8137272a5de3ba893d53839d054b7a220ed16c24b4d7427df","observation_id":"2b0648be-0ed1-4b3f-b7a8-bed24cfee717","resolution":{"observed_at":"2026-07-03T16:48:39.951343Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.01364","last_updated":"2024-02-07T07:14:39Z","snapshot_observed_at":"2026-08-04T18:35:41.659861Z","submitted_at":"2024-02-02T12:34:09Z","title":"Continual Learning for Large Language Models: A Survey","version":2},"cited_work":{"arxiv_id":"2402.01364","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2402.01364","snapshot_observed_at":"2026-07-04T00:29:15.805243Z","title":"Continual learning for large language models: A survey","venue":null,"work_id":"f6bffa6b-e285-4f98-8b85-6f7ba5653cbd","year":2024},"citing_paper":{"arxiv_id":"2606.28900","last_updated":"2026-06-27T13:14:16Z","snapshot_observed_at":"2026-07-07T00:02:57.622708Z","submitted_at":"2026-06-27T13:14:16Z","title":"MedEvoEval: Evaluating Continual Evolution of Doctor Agents through Simulated Clinical Episodes","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-06-30T09:33:50.358159Z"},"links":{"cited_paper":"/paper/2402.01364","citing_paper":"/paper/2606.28900"},"observation_digest":"sha256:85dd3e7c90aae27dac647ae63548ab3383790a57afe1edf45f7d4e3d86d85a20","observation_id":"2bb0b629-56ad-4bf3-a393-3ba9bac79889","resolution":{"observed_at":"2026-06-30T09:34:34.406343Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.01364","last_updated":"2024-02-07T07:14:39Z","snapshot_observed_at":"2026-08-04T18:35:41.659861Z","submitted_at":"2024-02-02T12:34:09Z","title":"Continual Learning for Large Language Models: A Survey","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.01364","snapshot_observed_at":"2026-07-11T23:28:26.009765Z","title":"Continual learning for large language models: A survey.arXiv preprint arXiv:2402.01364, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.07719","last_updated":"2026-07-04T12:58:26Z","snapshot_observed_at":"2026-08-05T05:37:05.148729Z","submitted_at":"2026-07-04T12:58:26Z","title":"ReCoLoRA: Spectrum-Aware Recursive Consolidation for Continual LLM Fine-Tuning","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-07-11T23:28:26.009765Z"},"links":{"cited_paper":"/paper/2402.01364","citing_paper":"/paper/2607.07719"},"observation_digest":"sha256:4078fb5600ed117781c1db7b5c1c0054c3100efa54e81db2aeb71a6c443a829f","observation_id":"6838d90f-b5c3-4ccc-9964-7260f6369d19","resolution":{"observed_at":"2026-07-11T23:28:26.009765Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.01364","last_updated":"2024-02-07T07:14:39Z","snapshot_observed_at":"2026-08-04T18:35:41.659861Z","submitted_at":"2024-02-02T12:34:09Z","title":"Continual Learning for Large Language Models: A Survey","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.01364","snapshot_observed_at":"2026-08-02T09:51:03.782356Z","title":"arXiv preprint arXiv:2402.01364 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.16252","last_updated":"2026-06-27T03:25:36Z","snapshot_observed_at":"2026-08-03T16:48:30.105983Z","submitted_at":"2026-06-27T03:25:36Z","title":"SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling","version":1},"reference_index":220,"source":"arxiv_source","source_observed_at":"2026-08-02T09:51:03.782356Z"},"links":{"cited_paper":"/paper/2402.01364","citing_paper":"/paper/2607.16252"},"observation_digest":"sha256:44a1e3567a3687261b06e029947a780bebb225b08fc7e8bc818b4e4b8bda4ab1","observation_id":"82a4a779-bf7c-4ec4-8288-907dcc772307","resolution":{"observed_at":"2026-08-02T09:51:03.782356Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.01364","last_updated":"2024-02-07T07:14:39Z","snapshot_observed_at":"2026-08-04T18:35:41.659861Z","submitted_at":"2024-02-02T12:34:09Z","title":"Continual Learning for Large Language Models: A Survey","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.01364","snapshot_observed_at":"2026-08-02T07:44:11.986628Z","title":"Continual learning for large language models: A survey.arXiv preprint arXiv:2402.01364,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.22676","last_updated":"2026-07-10T11:11:48Z","snapshot_observed_at":"2026-08-06T09:33:49.866018Z","submitted_at":"2026-07-10T11:11:48Z","title":"How LLM Task-Adaptation Reshapes Alignment: A Multi-dimensional Study of Behavioral and Representational Drift","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-02T07:44:11.986628Z"},"links":{"cited_paper":"/paper/2402.01364","citing_paper":"/paper/2607.22676"},"observation_digest":"sha256:809b5a5c0ada5cbfefc5ca6239bb0ac89320ad443eae2bea551d6c8235240d3e","observation_id":"44ce3f33-e5bb-444d-b68f-21fc76dd0456","resolution":{"observed_at":"2026-08-02T07:44:11.986628Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.01364","last_updated":"2024-02-07T07:14:39Z","snapshot_observed_at":"2026-08-04T18:35:41.659861Z","submitted_at":"2024-02-02T12:34:09Z","title":"Continual Learning for Large Language Models: A Survey","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.01364","snapshot_observed_at":"2026-08-04T04:52:56.255590Z","title":"Con- tinual learning for large language models: A survey,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.02553","last_updated":"2026-08-03T17:37:38Z","snapshot_observed_at":"2026-08-06T23:39:10.317481Z","submitted_at":"2026-08-03T17:37:38Z","title":"A Taxonomy of Cognitive Capability Gaps in Generative and Agentic AI","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-04T04:52:56.255590Z"},"links":{"cited_paper":"/paper/2402.01364","citing_paper":"/paper/2608.02553"},"observation_digest":"sha256:8384ef9d1e7c3c96e6031778bf648dff04c49bc9e6f1170e69ac3005f63a06ae","observation_id":"10385ec2-f5a9-4b91-886c-e58a213087fe","resolution":{"observed_at":"2026-08-04T04:52:56.255590Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.01364","last_updated":"2024-02-07T07:14:39Z","snapshot_observed_at":"2026-08-04T18:35:41.659861Z","submitted_at":"2024-02-02T12:34:09Z","title":"Continual Learning for Large Language Models: A Survey","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.01364","snapshot_observed_at":"2026-08-07T12:23:57.796801Z","title":"Continual learning for large language models: A survey.arXiv preprint arXiv:2402.01364, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.06216","last_updated":"2026-08-06T16:07:26Z","snapshot_observed_at":"2026-08-07T20:20:41.160230Z","submitted_at":"2026-08-06T16:07:26Z","title":"Continual Learning in Transition","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T12:23:57.796801Z"},"links":{"cited_paper":"/paper/2402.01364","citing_paper":"/paper/2608.06216"},"observation_digest":"sha256:0bb569a975df123e84daa24217dd5ed4e983de786af1aa20a8e77c61939084fd","observation_id":"2e8f8ff6-b6dc-471e-a402-a339a2980f05","resolution":{"observed_at":"2026-08-07T12:23:57.796801Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2402.01364/citation-record","integrity":"/paper/2402.01364/integrity","json":"/paper/2402.01364/citation-record.json","paper":"/paper/2402.01364"},"outbound":[],"paper":{"arxiv_id":"2402.01364","last_updated":"2024-02-07T07:14:39Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-04T18:35:41.659861Z","submitted_at":"2024-02-02T12:34:09Z","title":"Continual Learning for Large Language Models: A Survey"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 43 inbound Pith citation observations for arXiv:2402.01364."}