{"as_of":"2026-08-08T09:18:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:9836836c123bba7b280dd5b3d2dc47ce03f58970fd4a715ea1d17062ce890235","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":44,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":44,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":44,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":44,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T15:42:33.313206Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"arxiv_reference","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":4,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2310.15213","last_updated":"2024-02-25T18:32:18Z","snapshot_observed_at":"2026-08-08T01:23:24.701475Z","submitted_at":"2023-10-23T17:55:24Z","title":"Function Vectors in Large Language Models","version":2},"cited_work":{"arxiv_id":"2310.15213","doi":"10.48550/arxiv.2310.15213","metadata_source":"arxiv_reference","pith_arxiv_id":"2310.15213","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Li, Arnab Sen Sharma, Aaron Mueller, Byron C","venue":"arXiv (Cornell University)","work_id":"dbc5264a-aabf-4346-8cbe-123e943b13b8","year":2023},"citing_paper":{"arxiv_id":"2311.03658","last_updated":"2024-07-17T22:24:27Z","snapshot_observed_at":"2026-07-06T16:43:58.947915Z","submitted_at":"2023-11-07T01:59:11Z","title":"The Linear Representation Hypothesis and the Geometry of Large Language Models","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-05-11T21:43:28.274354Z"},"links":{"cited_paper":"/paper/2310.15213","citing_paper":"/paper/2311.03658"},"observation_digest":"sha256:330f7cd14761b7ba562218b286c0f3d98f192ca882eb56f42e6bc8ee4e35479d","observation_id":"202e8ce7-6c0d-459e-aed9-a859c14d2f6b","resolution":{"observed_at":"2026-05-11T21:43:30.555364Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.15213","last_updated":"2024-02-25T18:32:18Z","snapshot_observed_at":"2026-08-08T01:23:24.701475Z","submitted_at":"2023-10-23T17:55:24Z","title":"Function Vectors in Large Language Models","version":2},"cited_work":{"arxiv_id":"2310.15213","doi":"10.48550/arxiv.2310.15213","metadata_source":"arxiv_reference","pith_arxiv_id":"2310.15213","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Li, Arnab Sen Sharma, Aaron Mueller, Byron C","venue":"arXiv (Cornell University)","work_id":"dbc5264a-aabf-4346-8cbe-123e943b13b8","year":2023},"citing_paper":{"arxiv_id":"2404.15255","last_updated":"2024-04-23T17:42:29Z","snapshot_observed_at":"2026-07-31T21:25:53.647335Z","submitted_at":"2024-04-23T17:42:29Z","title":"How to use and interpret activation patching","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-05-16T20:34:06.888683Z"},"links":{"cited_paper":"/paper/2310.15213","citing_paper":"/paper/2404.15255"},"observation_digest":"sha256:a9e4b90ad55bf1ae3cd8ba76e4c6e2045005762fabc2c22985990db289a1ed9a","observation_id":"1e99aaf8-5a26-4fe6-ace4-262e2dcb7f33","resolution":{"observed_at":"2026-05-16T20:34:06.941038Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.15213","last_updated":"2024-02-25T18:32:18Z","snapshot_observed_at":"2026-08-08T01:23:24.701475Z","submitted_at":"2023-10-23T17:55:24Z","title":"Function Vectors in Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.15213","snapshot_observed_at":"2026-08-07T15:01:50.458189Z","title":"Li, Arnab Sen Sharma, Aaron Mueller, Byron C","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.16612","last_updated":"2025-10-14T08:28:41Z","snapshot_observed_at":"2026-08-08T06:16:44.202411Z","submitted_at":"2025-05-22T12:47:16Z","title":"Steering Large Language Models for Machine Translation Personalization","version":2},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-07T15:01:50.458189Z"},"links":{"cited_paper":"/paper/2310.15213","citing_paper":"/paper/2505.16612"},"observation_digest":"sha256:6277732f0e3a219d430f9965977fd3f19a9fb5a616b1978d1b5dc68b8daeddb3","observation_id":"df26eeb2-e546-4cba-a716-cdbc102862fd","resolution":{"observed_at":"2026-08-07T15:01:50.458189Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.15213","last_updated":"2024-02-25T18:32:18Z","snapshot_observed_at":"2026-08-08T01:23:24.701475Z","submitted_at":"2023-10-23T17:55:24Z","title":"Function Vectors in Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.15213","snapshot_observed_at":"2026-08-07T15:42:33.313206Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.17078","last_updated":"2025-05-20T08:29:11Z","snapshot_observed_at":"2026-08-08T01:24:08.249837Z","submitted_at":"2025-05-20T08:29:11Z","title":"GloSS over Toxicity: Understanding and Mitigating Toxicity in LLMs via Global Toxic Subspace","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-07T15:42:33.313206Z"},"links":{"cited_paper":"/paper/2310.15213","citing_paper":"/paper/2505.17078"},"observation_digest":"sha256:fcacd066cb7c51cc3f07f53ad40223fb1608ec89e0797282adcc920503776541","observation_id":"d7a229c4-804a-43cd-ac26-2a4f81e96d8d","resolution":{"observed_at":"2026-08-07T15:42:33.313206Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.15213","last_updated":"2024-02-25T18:32:18Z","snapshot_observed_at":"2026-08-08T01:23:24.701475Z","submitted_at":"2023-10-23T17:55:24Z","title":"Function Vectors in Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.15213","snapshot_observed_at":"2026-08-07T14:20:57.101150Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.19333","last_updated":"2025-05-25T21:40:26Z","snapshot_observed_at":"2026-08-07T14:14:16.527884Z","submitted_at":"2025-05-25T21:40:26Z","title":"Evaluating Steering Techniques using Human Similarity Judgments","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-07T14:20:57.101150Z"},"links":{"cited_paper":"/paper/2310.15213","citing_paper":"/paper/2505.19333"},"observation_digest":"sha256:7d34eef08963ff78cb064bf0bfe24b99ba18bff4cd068a21ca5eb80df98dda6f","observation_id":"528b1f47-fb11-476e-a2f0-d6f47868ade8","resolution":{"observed_at":"2026-08-07T14:20:57.101150Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.15213","last_updated":"2024-02-25T18:32:18Z","snapshot_observed_at":"2026-08-08T01:23:24.701475Z","submitted_at":"2023-10-23T17:55:24Z","title":"Function Vectors in Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.15213","snapshot_observed_at":"2026-08-07T13:58:19.641132Z","title":"Li, Arnab Sen Sharma, Aaron Mueller, Byron C","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.20546","last_updated":"2025-05-28T02:10:37Z","snapshot_observed_at":"2026-08-08T01:22:02.105362Z","submitted_at":"2025-05-26T22:20:45Z","title":"Paths Not Taken: Understanding and Mending the Multilingual Factual Recall Pipeline","version":2},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-07T13:58:19.641132Z"},"links":{"cited_paper":"/paper/2310.15213","citing_paper":"/paper/2505.20546"},"observation_digest":"sha256:b2c9232dcfb155ee8d1fa1e95bff089ea71696bfdfe246d7a3aef62d6d354fcc","observation_id":"ea55c297-7e2f-4181-a079-3c0a3fd84ef1","resolution":{"observed_at":"2026-08-07T13:58:19.641132Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.15213","last_updated":"2024-02-25T18:32:18Z","snapshot_observed_at":"2026-08-08T01:23:24.701475Z","submitted_at":"2023-10-23T17:55:24Z","title":"Function Vectors in Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.15213","snapshot_observed_at":"2026-08-07T13:10:07.335261Z","title":"Function vectors in large language models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.22637","last_updated":"2025-05-28T17:53:31Z","snapshot_observed_at":"2026-08-08T01:28:25.287363Z","submitted_at":"2025-05-28T17:53:31Z","title":"Understanding (Un)Reliability of Steering Vectors in Language Models","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-07T13:10:07.335261Z"},"links":{"cited_paper":"/paper/2310.15213","citing_paper":"/paper/2505.22637"},"observation_digest":"sha256:066610a540b373cf5d39ce713079a2eab3ffaf99104cfd9535c342c04c132668","observation_id":"96dbf721-bcbc-4538-8d96-a39327a76187","resolution":{"observed_at":"2026-08-07T13:10:07.335261Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.15213","last_updated":"2024-02-25T18:32:18Z","snapshot_observed_at":"2026-08-08T01:23:24.701475Z","submitted_at":"2023-10-23T17:55:24Z","title":"Function Vectors in Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.15213","snapshot_observed_at":"2026-08-07T10:46:20.293292Z","title":"Li, Arnab Sen Sharma, Aaron Mueller, Byron C","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.04461","last_updated":"2025-06-04T21:22:38Z","snapshot_observed_at":"2026-08-08T01:23:30.376706Z","submitted_at":"2025-06-04T21:22:38Z","title":"Behavioural vs. Representational Systematicity in End-to-End Models: An Opinionated Survey","version":1},"reference_index":91,"source":"arxiv_source","source_observed_at":"2026-08-07T10:46:20.293292Z"},"links":{"cited_paper":"/paper/2310.15213","citing_paper":"/paper/2506.04461"},"observation_digest":"sha256:4804cdba2590f98b672fd8f99587c673782308c04682363813c5c908aaf1ef02","observation_id":"d29088bc-42e0-4a76-8bb7-9ecaf5ff86fd","resolution":{"observed_at":"2026-08-07T10:46:20.293292Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.15213","last_updated":"2024-02-25T18:32:18Z","snapshot_observed_at":"2026-08-08T01:23:24.701475Z","submitted_at":"2023-10-23T17:55:24Z","title":"Function Vectors in Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.15213","snapshot_observed_at":"2026-08-07T00:41:58.910906Z","title":"Function vectors in large language models.arXiv preprint arXiv:2310.15213, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.13253","last_updated":"2025-06-16T08:49:42Z","snapshot_observed_at":"2026-08-07T23:54:43.526349Z","submitted_at":"2025-06-16T08:49:42Z","title":"Distinct Computations Emerge From Compositional Curricula in In-Context Learning","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-07T00:41:58.910906Z"},"links":{"cited_paper":"/paper/2310.15213","citing_paper":"/paper/2506.13253"},"observation_digest":"sha256:a00b0409288705fef40797fd66721b6e28c3de38b1e1f62ed590461a20b25cd3","observation_id":"959a4e8b-42ef-4161-91f0-a29c38637dc2","resolution":{"observed_at":"2026-08-07T00:41:58.910906Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.15213","last_updated":"2024-02-25T18:32:18Z","snapshot_observed_at":"2026-08-08T01:23:24.701475Z","submitted_at":"2023-10-23T17:55:24Z","title":"Function Vectors in Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.15213","snapshot_observed_at":"2026-08-06T23:48:42.090341Z","title":"L., Sharma, A","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.16288","last_updated":"2025-06-19T13:05:12Z","snapshot_observed_at":"2026-08-08T01:25:18.645727Z","submitted_at":"2025-06-19T13:05:12Z","title":"Next-Token Prediction Should be Ambiguity-Sensitive: A Meta-Learning Perspective","version":1},"reference_index":2019,"source":"pdf_text","source_observed_at":"2026-08-06T23:48:42.090341Z"},"links":{"cited_paper":"/paper/2310.15213","citing_paper":"/paper/2506.16288"},"observation_digest":"sha256:988571fb5dd610cf96a6a51bb4d0eed76f4073087789c2c7bfda864801cdfb7d","observation_id":"9225116f-b9dc-4673-a31f-deaa807e29eb","resolution":{"observed_at":"2026-08-06T23:48:42.090341Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.15213","last_updated":"2024-02-25T18:32:18Z","snapshot_observed_at":"2026-08-08T01:23:24.701475Z","submitted_at":"2023-10-23T17:55:24Z","title":"Function Vectors in Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.15213","snapshot_observed_at":"2026-08-06T19:10:30.949014Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.06445","last_updated":"2026-07-21T16:59:32Z","snapshot_observed_at":"2026-08-08T03:00:34.577740Z","submitted_at":"2025-07-08T23:07:33Z","title":"Can Interpretation Predict Behavior on Unseen Data?","version":3},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-06T19:10:30.949014Z"},"links":{"cited_paper":"/paper/2310.15213","citing_paper":"/paper/2507.06445"},"observation_digest":"sha256:4fd576c20a602dc156da25cf395441bdad7b00a755f3e0d87136a9c88cb13a3d","observation_id":"66ce685a-f5a9-4fe1-b1ff-1cdff219b023","resolution":{"observed_at":"2026-08-06T19:10:30.949014Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.15213","last_updated":"2024-02-25T18:32:18Z","snapshot_observed_at":"2026-08-08T01:23:24.701475Z","submitted_at":"2023-10-23T17:55:24Z","title":"Function Vectors in Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.15213","snapshot_observed_at":"2026-08-06T15:31:25.481995Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.16003","last_updated":"2026-06-02T08:52:07Z","snapshot_observed_at":"2026-08-06T15:18:11.945149Z","submitted_at":"2025-07-21T18:44:35Z","title":"Learning without training: The implicit dynamics of in-context learning","version":4},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T15:31:25.481995Z"},"links":{"cited_paper":"/paper/2310.15213","citing_paper":"/paper/2507.16003"},"observation_digest":"sha256:bf3b60d367a666ecb05ebeb0bdaf669116d92fa43d2d970cbb74e91328c7bd13","observation_id":"6045a31c-4ba1-4a22-834d-5e9d979c263a","resolution":{"observed_at":"2026-08-06T15:31:25.481995Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.15213","last_updated":"2024-02-25T18:32:18Z","snapshot_observed_at":"2026-08-08T01:23:24.701475Z","submitted_at":"2023-10-23T17:55:24Z","title":"Function Vectors in Large Language Models","version":2},"cited_work":{"arxiv_id":"2310.15213","doi":"10.48550/arxiv.2310.15213","metadata_source":"arxiv_reference","pith_arxiv_id":"2310.15213","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Li, Arnab Sen Sharma, Aaron Mueller, Byron C","venue":"arXiv (Cornell University)","work_id":"dbc5264a-aabf-4346-8cbe-123e943b13b8","year":2023},"citing_paper":{"arxiv_id":"2507.20906","last_updated":"2026-04-08T07:08:48Z","snapshot_observed_at":"2026-08-02T17:02:42.944628Z","submitted_at":"2025-07-28T14:59:17Z","title":"Soft Head Selection for Injecting ICL-Derived Task Embeddings","version":3},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-05-19T02:41:52.906516Z"},"links":{"cited_paper":"/paper/2310.15213","citing_paper":"/paper/2507.20906"},"observation_digest":"sha256:ba586e28f96e521f82a6e910b5450be23f4cb484cef9da7d3b3ddeeb6364f9bd","observation_id":"f94a2457-2545-492a-b1f6-4f6e75757dab","resolution":{"observed_at":"2026-05-19T02:41:59.718114Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.15213","last_updated":"2024-02-25T18:32:18Z","snapshot_observed_at":"2026-08-08T01:23:24.701475Z","submitted_at":"2023-10-23T17:55:24Z","title":"Function Vectors in Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.15213","snapshot_observed_at":"2026-08-05T19:23:18.405652Z","title":"Function vectors in large language models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.13247","last_updated":"2025-08-18T11:04:18Z","snapshot_observed_at":"2026-08-07T10:26:21.916672Z","submitted_at":"2025-08-18T11:04:18Z","title":"Goal-Directedness is in the Eye of the Beholder","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-05T19:23:18.405652Z"},"links":{"cited_paper":"/paper/2310.15213","citing_paper":"/paper/2508.13247"},"observation_digest":"sha256:8cbd332eb80d61c7419c7749d210272d7e48b630ccc2e1722193df40ebbc09ab","observation_id":"8c85f0aa-0d44-4204-a29a-ede02b6cd8dc","resolution":{"observed_at":"2026-08-05T19:23:18.405652Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.15213","last_updated":"2024-02-25T18:32:18Z","snapshot_observed_at":"2026-08-08T01:23:24.701475Z","submitted_at":"2023-10-23T17:55:24Z","title":"Function Vectors in Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.15213","snapshot_observed_at":"2026-08-05T14:22:30.893990Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.21448","last_updated":"2026-06-02T08:58:05Z","snapshot_observed_at":"2026-08-07T07:18:56.593411Z","submitted_at":"2025-08-29T09:27:01Z","title":"When Models Refuse: Political Steerability and Feature Richness as Measures of Ideological Depth","version":3},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-05T14:22:30.893990Z"},"links":{"cited_paper":"/paper/2310.15213","citing_paper":"/paper/2508.21448"},"observation_digest":"sha256:c97255f8057211ab2fb2688311b1f7b19da2fdd92aeded9118c25dc06e6f2a2e","observation_id":"b58d9b6f-6896-4d3a-97da-89891791d5ff","resolution":{"observed_at":"2026-08-05T14:22:30.893990Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.15213","last_updated":"2024-02-25T18:32:18Z","snapshot_observed_at":"2026-08-08T01:23:24.701475Z","submitted_at":"2023-10-23T17:55:24Z","title":"Function Vectors in Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.15213","snapshot_observed_at":"2026-08-04T14:50:23.187923Z","title":"Function vectors in large language models.arXiv preprint arXiv:2310.15213,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.22854","last_updated":"2026-06-02T17:52:26Z","snapshot_observed_at":"2026-08-04T14:50:20.613083Z","submitted_at":"2025-09-26T19:05:45Z","title":"Train Once, Reuse Everywhere: Generalizable Implicit In-Context Learning by Routing Attention","version":2},"reference_index":2019,"source":"pdf_text","source_observed_at":"2026-08-04T14:50:23.187923Z"},"links":{"cited_paper":"/paper/2310.15213","citing_paper":"/paper/2509.22854"},"observation_digest":"sha256:883139a1e3c7b5bb0b348928374951ec263b2a12e4ececa96f719f9f22eeda23","observation_id":"16181b88-35f6-415c-9a9e-ef0583fae94f","resolution":{"observed_at":"2026-08-04T14:50:23.187923Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.15213","last_updated":"2024-02-25T18:32:18Z","snapshot_observed_at":"2026-08-08T01:23:24.701475Z","submitted_at":"2023-10-23T17:55:24Z","title":"Function Vectors in Large Language Models","version":2},"cited_work":{"arxiv_id":"2310.15213","doi":"10.48550/arxiv.2310.15213","metadata_source":"arxiv_reference","pith_arxiv_id":"2310.15213","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Li, Arnab Sen Sharma, Aaron Mueller, Byron C","venue":"arXiv (Cornell University)","work_id":"dbc5264a-aabf-4346-8cbe-123e943b13b8","year":2023},"citing_paper":{"arxiv_id":"2509.24164","last_updated":"2026-04-30T20:04:46Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-09-29T01:28:37Z","title":"Localizing Task Recognition and Task Learning in In-Context Learning via Attention Head Analysis","version":3},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-05-18T13:26:59.080330Z"},"links":{"cited_paper":"/paper/2310.15213","citing_paper":"/paper/2509.24164"},"observation_digest":"sha256:f38b5bd4ab1c17aafbdab3655ec19a3328c71c9905e3e5c99d7d5e294258d735","observation_id":"5d2a6c35-8b9e-44cf-a4b4-f5b531b56a7c","resolution":{"observed_at":"2026-05-18T13:31:25.493595Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.15213","last_updated":"2024-02-25T18:32:18Z","snapshot_observed_at":"2026-08-08T01:23:24.701475Z","submitted_at":"2023-10-23T17:55:24Z","title":"Function Vectors in Large Language Models","version":2},"cited_work":{"arxiv_id":"2310.15213","doi":"10.48550/arxiv.2310.15213","metadata_source":"arxiv_reference","pith_arxiv_id":"2310.15213","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Li, Arnab Sen Sharma, Aaron Mueller, Byron C","venue":"arXiv (Cornell University)","work_id":"dbc5264a-aabf-4346-8cbe-123e943b13b8","year":2023},"citing_paper":{"arxiv_id":"2510.01685","last_updated":"2026-05-08T16:56:36Z","snapshot_observed_at":"2026-07-06T22:31:30.171287Z","submitted_at":"2025-10-02T05:21:34Z","title":"How Do Language Models Compose Functions?","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-05-18T11:04:09.179536Z"},"links":{"cited_paper":"/paper/2310.15213","citing_paper":"/paper/2510.01685"},"observation_digest":"sha256:6f1572d05d2cfc3a23a20c4d80bbe30e4b56c8e00c8879e53fbdd2b099155409","observation_id":"2728d73d-d87f-4b41-9caf-32cc17ed0181","resolution":{"observed_at":"2026-05-18T11:06:17.663105Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.15213","last_updated":"2024-02-25T18:32:18Z","snapshot_observed_at":"2026-08-08T01:23:24.701475Z","submitted_at":"2023-10-23T17:55:24Z","title":"Function Vectors in Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.15213","snapshot_observed_at":"2026-08-04T12:44:42.073130Z","title":"Together Computer","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2510.02528","last_updated":"2026-05-29T19:41:43Z","snapshot_observed_at":"2026-08-07T21:53:59.199146Z","submitted_at":"2025-10-02T19:55:56Z","title":"Multimodal Function Vectors for Visual Relations","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-04T12:44:42.073130Z"},"links":{"cited_paper":"/paper/2310.15213","citing_paper":"/paper/2510.02528"},"observation_digest":"sha256:dc254a12e2d49150817513759e6c13d81edcbdf125fced355479babfc2fbf08d","observation_id":"881effc7-d9ee-45dc-b7f4-b27185076dc3","resolution":{"observed_at":"2026-08-04T12:44:42.073130Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.15213","last_updated":"2024-02-25T18:32:18Z","snapshot_observed_at":"2026-08-08T01:23:24.701475Z","submitted_at":"2023-10-23T17:55:24Z","title":"Function Vectors in Large Language Models","version":2},"cited_work":{"arxiv_id":"2310.15213","doi":"10.48550/arxiv.2310.15213","metadata_source":"arxiv_reference","pith_arxiv_id":"2310.15213","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Li, Arnab Sen Sharma, Aaron Mueller, Byron C","venue":"arXiv (Cornell University)","work_id":"dbc5264a-aabf-4346-8cbe-123e943b13b8","year":2023},"citing_paper":{"arxiv_id":"2604.06377","last_updated":"2026-05-05T18:37:43Z","snapshot_observed_at":"2026-07-06T22:54:53.308309Z","submitted_at":"2026-04-07T19:02:10Z","title":"The Master Key Hypothesis: Unlocking Cross-Model Capability Transfer via Linear Subspace Alignment","version":3},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-05-10T18:36:44.401045Z"},"links":{"cited_paper":"/paper/2310.15213","citing_paper":"/paper/2604.06377"},"observation_digest":"sha256:5b356909d157e26be4e8c5c82f8124e16112d32ef5dfded1de8b216125760b4c","observation_id":"2b86630c-8d21-4fd5-b300-edac5c412406","resolution":{"observed_at":"2026-05-11T00:15:56.439619Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.15213","last_updated":"2024-02-25T18:32:18Z","snapshot_observed_at":"2026-08-08T01:23:24.701475Z","submitted_at":"2023-10-23T17:55:24Z","title":"Function Vectors in Large Language Models","version":2},"cited_work":{"arxiv_id":"2310.15213","doi":"10.48550/arxiv.2310.15213","metadata_source":"arxiv_reference","pith_arxiv_id":"2310.15213","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Li, Arnab Sen Sharma, Aaron Mueller, Byron C","venue":"arXiv (Cornell University)","work_id":"dbc5264a-aabf-4346-8cbe-123e943b13b8","year":2023},"citing_paper":{"arxiv_id":"2604.10326","last_updated":"2026-04-11T19:19:05Z","snapshot_observed_at":"2026-07-06T22:59:01.129724Z","submitted_at":"2026-04-11T19:19:05Z","title":"Jailbreaking the Matrix: Nullspace Steering for Controlled Model Subversion","version":1},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-05-10T15:19:46.920899Z"},"links":{"cited_paper":"/paper/2310.15213","citing_paper":"/paper/2604.10326"},"observation_digest":"sha256:f39772b4357750a0041e622d0b7bfebe330ae212d741e7ae3381fd2075cbd8c8","observation_id":"6440226e-ffef-41ea-b447-0b5b4d12a2b7","resolution":{"observed_at":"2026-05-11T10:46:04.331574Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.15213","last_updated":"2024-02-25T18:32:18Z","snapshot_observed_at":"2026-08-08T01:23:24.701475Z","submitted_at":"2023-10-23T17:55:24Z","title":"Function Vectors in Large Language Models","version":2},"cited_work":{"arxiv_id":"2310.15213","doi":"10.48550/arxiv.2310.15213","metadata_source":"arxiv_reference","pith_arxiv_id":"2310.15213","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Li, Arnab Sen Sharma, Aaron Mueller, Byron C","venue":"arXiv (Cornell University)","work_id":"dbc5264a-aabf-4346-8cbe-123e943b13b8","year":2023},"citing_paper":{"arxiv_id":"2604.17663","last_updated":"2026-04-19T23:26:02Z","snapshot_observed_at":"2026-07-06T23:04:41.564912Z","submitted_at":"2026-04-19T23:26:02Z","title":"ATLAS: Constitution-Conditioned Latent Geometry and Redistribution Across Language Models and Neural Perturbation Data","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-10T05:55:41.400468Z"},"links":{"cited_paper":"/paper/2310.15213","citing_paper":"/paper/2604.17663"},"observation_digest":"sha256:5c2edaadb3c92ffeac00162ed3a6b75b1c27856250f086ed2afe616d8a2e949f","observation_id":"a821eae9-37de-43c3-bd3c-d42bd2175342","resolution":{"observed_at":"2026-05-10T05:56:10.953890Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.15213","last_updated":"2024-02-25T18:32:18Z","snapshot_observed_at":"2026-08-08T01:23:24.701475Z","submitted_at":"2023-10-23T17:55:24Z","title":"Function Vectors in Large Language Models","version":2},"cited_work":{"arxiv_id":"2310.15213","doi":"10.48550/arxiv.2310.15213","metadata_source":"arxiv_reference","pith_arxiv_id":"2310.15213","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Li, Arnab Sen Sharma, Aaron Mueller, Byron C","venue":"arXiv (Cornell University)","work_id":"dbc5264a-aabf-4346-8cbe-123e943b13b8","year":2023},"citing_paper":{"arxiv_id":"2604.23371","last_updated":"2026-04-25T16:35:25Z","snapshot_observed_at":"2026-07-06T23:09:38.799345Z","submitted_at":"2026-04-25T16:35:25Z","title":"When Context Sticks: Studying Interference in In-Context Learning","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-05-08T08:31:14.231710Z"},"links":{"cited_paper":"/paper/2310.15213","citing_paper":"/paper/2604.23371"},"observation_digest":"sha256:a90d4de8825f8126229268c372e84c706c456855c011e4b53d1d9848b6d03206","observation_id":"fb785e46-83c9-42c8-92dd-f482f57c2fe6","resolution":{"observed_at":"2026-05-11T20:36:09.495023Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.15213","last_updated":"2024-02-25T18:32:18Z","snapshot_observed_at":"2026-08-08T01:23:24.701475Z","submitted_at":"2023-10-23T17:55:24Z","title":"Function Vectors in Large Language Models","version":2},"cited_work":{"arxiv_id":"2310.15213","doi":"10.48550/arxiv.2310.15213","metadata_source":"arxiv_reference","pith_arxiv_id":"2310.15213","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Li, Arnab Sen Sharma, Aaron Mueller, Byron C","venue":"arXiv (Cornell University)","work_id":"dbc5264a-aabf-4346-8cbe-123e943b13b8","year":2023},"citing_paper":{"arxiv_id":"2605.03196","last_updated":"2026-05-04T22:24:34Z","snapshot_observed_at":"2026-08-06T23:13:48.265420Z","submitted_at":"2026-05-04T22:24:34Z","title":"Geometric Deviation as an Unsupervised Pre-Generation Reliability Signal: Probing LLM Representations for Answerability","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-05-08T17:56:27.360060Z"},"links":{"cited_paper":"/paper/2310.15213","citing_paper":"/paper/2605.03196"},"observation_digest":"sha256:92e006433975abb79faf4f019999fabdfb67a151f57b1f238bc005eba5c1ca9a","observation_id":"86c7e917-6594-4b13-b2be-626b69f51e8b","resolution":{"observed_at":"2026-05-09T06:55:44.425075Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.15213","last_updated":"2024-02-25T18:32:18Z","snapshot_observed_at":"2026-08-08T01:23:24.701475Z","submitted_at":"2023-10-23T17:55:24Z","title":"Function Vectors in Large Language Models","version":2},"cited_work":{"arxiv_id":"2310.15213","doi":"10.48550/arxiv.2310.15213","metadata_source":"arxiv_reference","pith_arxiv_id":"2310.15213","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Li, Arnab Sen Sharma, Aaron Mueller, Byron C","venue":"arXiv (Cornell University)","work_id":"dbc5264a-aabf-4346-8cbe-123e943b13b8","year":2023},"citing_paper":{"arxiv_id":"2605.05115","last_updated":"2026-05-06T16:46:03Z","snapshot_observed_at":"2026-08-07T10:12:24.411121Z","submitted_at":"2026-05-06T16:46:03Z","title":"Manifold Steering Reveals the Shared Geometry of Neural Network Representation and Behavior","version":1},"reference_index":232,"source":"arxiv_source","source_observed_at":"2026-05-08T17:47:09.591001Z"},"links":{"cited_paper":"/paper/2310.15213","citing_paper":"/paper/2605.05115"},"observation_digest":"sha256:c2172d0020033d203a5e508cd3c02470833677fd16673c287165ce6f9232d5e0","observation_id":"aad57d93-97d9-4df7-8283-4c2c590026b7","resolution":{"observed_at":"2026-05-11T17:16:06.799958Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.15213","last_updated":"2024-02-25T18:32:18Z","snapshot_observed_at":"2026-08-08T01:23:24.701475Z","submitted_at":"2023-10-23T17:55:24Z","title":"Function Vectors in Large Language Models","version":2},"cited_work":{"arxiv_id":"2310.15213","doi":"10.48550/arxiv.2310.15213","metadata_source":"arxiv_reference","pith_arxiv_id":"2310.15213","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Li, Arnab Sen Sharma, Aaron Mueller, Byron C","venue":"arXiv (Cornell University)","work_id":"dbc5264a-aabf-4346-8cbe-123e943b13b8","year":2023},"citing_paper":{"arxiv_id":"2605.05715","last_updated":"2026-05-07T05:58:38Z","snapshot_observed_at":"2026-07-06T23:18:17.333660Z","submitted_at":"2026-05-07T05:58:38Z","title":"Decodable but Not Corrected by Fixed Residual-Stream Linear Steering: Evidence from Medical LLM Failure Regimes","version":1},"reference_index":62,"source":"arxiv_source","source_observed_at":"2026-05-08T11:42:16.090162Z"},"links":{"cited_paper":"/paper/2310.15213","citing_paper":"/paper/2605.05715"},"observation_digest":"sha256:1252486fc4e059b2066ddc1a1a86e6959c8a64c54f6c891919dc9b503e07d806","observation_id":"19972ee6-b98f-4207-a5d0-45e3ff293b0c","resolution":{"observed_at":"2026-05-11T19:31:10.603781Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.15213","last_updated":"2024-02-25T18:32:18Z","snapshot_observed_at":"2026-08-08T01:23:24.701475Z","submitted_at":"2023-10-23T17:55:24Z","title":"Function Vectors in Large Language Models","version":2},"cited_work":{"arxiv_id":"2310.15213","doi":"10.48550/arxiv.2310.15213","metadata_source":"arxiv_reference","pith_arxiv_id":"2310.15213","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Li, Arnab Sen Sharma, Aaron Mueller, Byron C","venue":"arXiv (Cornell University)","work_id":"dbc5264a-aabf-4346-8cbe-123e943b13b8","year":2023},"citing_paper":{"arxiv_id":"2605.06225","last_updated":"2026-05-09T16:46:54Z","snapshot_observed_at":"2026-08-01T14:54:15.536868Z","submitted_at":"2026-05-07T13:19:33Z","title":"Memory Inception: Latent-Space KV Cache Manipulation for Steering LLMs","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-05-08T13:28:41.166652Z"},"links":{"cited_paper":"/paper/2310.15213","citing_paper":"/paper/2605.06225"},"observation_digest":"sha256:a722bdace2ade5125a9d2a2f8f0ea05aaf951a08a3f0913ec10632cbbfe14006","observation_id":"edfbd33d-a331-45d7-82b6-b962eee57710","resolution":{"observed_at":"2026-05-11T18:56:05.709806Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.15213","last_updated":"2024-02-25T18:32:18Z","snapshot_observed_at":"2026-08-08T01:23:24.701475Z","submitted_at":"2023-10-23T17:55:24Z","title":"Function Vectors in Large Language Models","version":2},"cited_work":{"arxiv_id":"2310.15213","doi":"10.48550/arxiv.2310.15213","metadata_source":"arxiv_reference","pith_arxiv_id":"2310.15213","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Li, Arnab Sen Sharma, Aaron Mueller, Byron C","venue":"arXiv (Cornell University)","work_id":"dbc5264a-aabf-4346-8cbe-123e943b13b8","year":2023},"citing_paper":{"arxiv_id":"2605.06225","last_updated":"2026-05-09T16:46:54Z","snapshot_observed_at":"2026-08-01T14:54:15.536868Z","submitted_at":"2026-05-07T13:19:33Z","title":"Memory Inception: Latent-Space KV Cache Manipulation for Steering LLMs","version":2},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-05-12T01:58:30.870257Z"},"links":{"cited_paper":"/paper/2310.15213","citing_paper":"/paper/2605.06225"},"observation_digest":"sha256:afe34b52b36b3429c28f7aac42daf5199bfe1bbe2f52eae213d5cbea1600fee1","observation_id":"a6bcb1b7-511a-46c5-ba55-084aa8896a77","resolution":{"observed_at":"2026-05-12T02:01:15.345642Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.15213","last_updated":"2024-02-25T18:32:18Z","snapshot_observed_at":"2026-08-08T01:23:24.701475Z","submitted_at":"2023-10-23T17:55:24Z","title":"Function Vectors in Large Language Models","version":2},"cited_work":{"arxiv_id":"2310.15213","doi":"10.48550/arxiv.2310.15213","metadata_source":"arxiv_reference","pith_arxiv_id":"2310.15213","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Li, Arnab Sen Sharma, Aaron Mueller, Byron C","venue":"arXiv (Cornell University)","work_id":"dbc5264a-aabf-4346-8cbe-123e943b13b8","year":2023},"citing_paper":{"arxiv_id":"2605.07990","last_updated":"2026-05-08T16:47:08Z","snapshot_observed_at":"2026-08-02T18:36:12.949377Z","submitted_at":"2026-05-08T16:47:08Z","title":"Tool Calling is Linearly Readable and Steerable in Language Models","version":1},"reference_index":71,"source":"arxiv_source","source_observed_at":"2026-05-11T03:09:11.013914Z"},"links":{"cited_paper":"/paper/2310.15213","citing_paper":"/paper/2605.07990"},"observation_digest":"sha256:873b23016c88cc5741d738fcc995776514e56579d5b81c5d57a2c7daf49c8f47","observation_id":"d618fa14-3e50-4088-8a18-9f41c9f6bebc","resolution":{"observed_at":"2026-05-11T03:10:52.693628Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.15213","last_updated":"2024-02-25T18:32:18Z","snapshot_observed_at":"2026-08-08T01:23:24.701475Z","submitted_at":"2023-10-23T17:55:24Z","title":"Function Vectors in Large Language Models","version":2},"cited_work":{"arxiv_id":"2310.15213","doi":"10.48550/arxiv.2310.15213","metadata_source":"arxiv_reference","pith_arxiv_id":"2310.15213","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Li, Arnab Sen Sharma, Aaron Mueller, Byron C","venue":"arXiv (Cornell University)","work_id":"dbc5264a-aabf-4346-8cbe-123e943b13b8","year":2023},"citing_paper":{"arxiv_id":"2605.12412","last_updated":"2026-05-12T17:09:41Z","snapshot_observed_at":"2026-07-06T23:24:08.763444Z","submitted_at":"2026-05-12T17:09:41Z","title":"Stories in Space: In-Context Learning Trajectories in Conceptual Belief Space","version":1},"reference_index":103,"source":"arxiv_source","source_observed_at":"2026-05-13T05:17:34.283917Z"},"links":{"cited_paper":"/paper/2310.15213","citing_paper":"/paper/2605.12412"},"observation_digest":"sha256:33a275020f72a52c1c03b7dd5f88a9aad47168570d586748f5f646ceb62ff0d9","observation_id":"21d88f32-3745-4759-a9ae-d604ffe0c506","resolution":{"observed_at":"2026-05-13T05:22:18.853017Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.15213","last_updated":"2024-02-25T18:32:18Z","snapshot_observed_at":"2026-08-08T01:23:24.701475Z","submitted_at":"2023-10-23T17:55:24Z","title":"Function Vectors in Large Language Models","version":2},"cited_work":{"arxiv_id":"2310.15213","doi":"10.48550/arxiv.2310.15213","metadata_source":"arxiv_reference","pith_arxiv_id":"2310.15213","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Li, Arnab Sen Sharma, Aaron Mueller, Byron C","venue":"arXiv (Cornell University)","work_id":"dbc5264a-aabf-4346-8cbe-123e943b13b8","year":2023},"citing_paper":{"arxiv_id":"2605.15053","last_updated":"2026-05-15T02:16:20Z","snapshot_observed_at":"2026-08-01T22:38:16.506764Z","submitted_at":"2026-05-14T16:46:26Z","title":"TFGN: Task-Free, Replay-Free Continual Pre-Training Without Catastrophic Forgetting at LLM Scale","version":2},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-05-19T17:06:12.280460Z"},"links":{"cited_paper":"/paper/2310.15213","citing_paper":"/paper/2605.15053"},"observation_digest":"sha256:0e267e17b4d2e6b9d4a691469e198cdbb3d16694a7149a0c76d56002344794b0","observation_id":"8f3a941f-f510-49ca-b819-a3a7a999a716","resolution":{"observed_at":"2026-05-19T17:07:41.603505Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.15213","last_updated":"2024-02-25T18:32:18Z","snapshot_observed_at":"2026-08-08T01:23:24.701475Z","submitted_at":"2023-10-23T17:55:24Z","title":"Function Vectors in Large Language Models","version":2},"cited_work":{"arxiv_id":"2310.15213","doi":"10.48550/arxiv.2310.15213","metadata_source":"arxiv_reference","pith_arxiv_id":"2310.15213","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Li, Arnab Sen Sharma, Aaron Mueller, Byron C","venue":"arXiv (Cornell University)","work_id":"dbc5264a-aabf-4346-8cbe-123e943b13b8","year":2023},"citing_paper":{"arxiv_id":"2605.20382","last_updated":"2026-06-19T16:43:39Z","snapshot_observed_at":"2026-07-06T23:30:58.549353Z","submitted_at":"2026-05-19T18:32:20Z","title":"Do as I Say, Not as I Do: Instruction-Induction Conflict in LLMs","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-05-21T07:30:27.297971Z"},"links":{"cited_paper":"/paper/2310.15213","citing_paper":"/paper/2605.20382"},"observation_digest":"sha256:8c58ebf05f0bb502d2c612a84ec355f3413da450e70c05c4ae42f92281e8c17f","observation_id":"2694fc6b-b65d-4445-af07-6ec031013913","resolution":{"observed_at":"2026-05-21T07:34:02.875184Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.15213","last_updated":"2024-02-25T18:32:18Z","snapshot_observed_at":"2026-08-08T01:23:24.701475Z","submitted_at":"2023-10-23T17:55:24Z","title":"Function Vectors in Large Language Models","version":2},"cited_work":{"arxiv_id":"2310.15213","doi":"10.48550/arxiv.2310.15213","metadata_source":"arxiv_reference","pith_arxiv_id":"2310.15213","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Li, Arnab Sen Sharma, Aaron Mueller, Byron C","venue":"arXiv (Cornell University)","work_id":"dbc5264a-aabf-4346-8cbe-123e943b13b8","year":2023},"citing_paper":{"arxiv_id":"2605.20382","last_updated":"2026-06-19T16:43:39Z","snapshot_observed_at":"2026-07-06T23:30:58.549353Z","submitted_at":"2026-05-19T18:32:20Z","title":"Do as I Say, Not as I Do: Instruction-Induction Conflict in LLMs","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-06-30T18:00:29.237972Z"},"links":{"cited_paper":"/paper/2310.15213","citing_paper":"/paper/2605.20382"},"observation_digest":"sha256:1d553c33bbb6f90cec40d53a993e4b02f0e612fef0f461864f2bd973eaa0b3eb","observation_id":"ad1d937f-7719-43aa-88ec-cc27cb2cbeca","resolution":{"observed_at":"2026-06-30T18:04:58.143869Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.15213","last_updated":"2024-02-25T18:32:18Z","snapshot_observed_at":"2026-08-08T01:23:24.701475Z","submitted_at":"2023-10-23T17:55:24Z","title":"Function Vectors in Large Language Models","version":2},"cited_work":{"arxiv_id":"2310.15213","doi":"10.48550/arxiv.2310.15213","metadata_source":"arxiv_reference","pith_arxiv_id":"2310.15213","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Li, Arnab Sen Sharma, Aaron Mueller, Byron C","venue":"arXiv (Cornell University)","work_id":"dbc5264a-aabf-4346-8cbe-123e943b13b8","year":2023},"citing_paper":{"arxiv_id":"2605.23180","last_updated":"2026-05-22T03:01:34Z","snapshot_observed_at":"2026-07-06T23:33:24.215365Z","submitted_at":"2026-05-22T03:01:34Z","title":"Self-Improving In-Context Learning","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-05-25T04:55:34.529357Z"},"links":{"cited_paper":"/paper/2310.15213","citing_paper":"/paper/2605.23180"},"observation_digest":"sha256:17f794113197cf05c2f1fb3819330dcd8f7c22323f67ef3bd4d381141c8526f0","observation_id":"cb76a16f-a92e-4d87-90e3-e65009ed7299","resolution":{"observed_at":"2026-05-25T04:56:38.833587Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.15213","last_updated":"2024-02-25T18:32:18Z","snapshot_observed_at":"2026-08-08T01:23:24.701475Z","submitted_at":"2023-10-23T17:55:24Z","title":"Function Vectors in Large Language Models","version":2},"cited_work":{"arxiv_id":"2310.15213","doi":"10.48550/arxiv.2310.15213","metadata_source":"arxiv_reference","pith_arxiv_id":"2310.15213","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Li, Arnab Sen Sharma, Aaron Mueller, Byron C","venue":"arXiv (Cornell University)","work_id":"dbc5264a-aabf-4346-8cbe-123e943b13b8","year":2023},"citing_paper":{"arxiv_id":"2605.25225","last_updated":"2026-06-11T16:48:48Z","snapshot_observed_at":"2026-08-05T03:30:45.468471Z","submitted_at":"2026-05-24T19:26:25Z","title":"Transformer Field Theory: A Response-Theoretic Approach to Mechanistic Interpretability","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-06-30T11:58:53.868902Z"},"links":{"cited_paper":"/paper/2310.15213","citing_paper":"/paper/2605.25225"},"observation_digest":"sha256:d75196742e8935c745fc4a6a92033b431fb5c2d7ddf5d4988d2bdb1c1070911c","observation_id":"5d053ab1-b4b4-4f70-aa80-0df6079abad3","resolution":{"observed_at":"2026-06-30T12:04:38.236567Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.15213","last_updated":"2024-02-25T18:32:18Z","snapshot_observed_at":"2026-08-08T01:23:24.701475Z","submitted_at":"2023-10-23T17:55:24Z","title":"Function Vectors in Large Language Models","version":2},"cited_work":{"arxiv_id":"2310.15213","doi":"10.48550/arxiv.2310.15213","metadata_source":"arxiv_reference","pith_arxiv_id":"2310.15213","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Li, Arnab Sen Sharma, Aaron Mueller, Byron C","venue":"arXiv (Cornell University)","work_id":"dbc5264a-aabf-4346-8cbe-123e943b13b8","year":2023},"citing_paper":{"arxiv_id":"2605.29358","last_updated":"2026-05-28T04:57:47Z","snapshot_observed_at":"2026-07-06T23:38:46.361360Z","submitted_at":"2026-05-28T04:57:47Z","title":"Scaling Monosemanticity: Extracting Interpretable Features from Claude 3 Sonnet","version":1},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-06-29T07:50:04.813379Z"},"links":{"cited_paper":"/paper/2310.15213","citing_paper":"/paper/2605.29358"},"observation_digest":"sha256:446e32ea87d35a1a6808295f8f228ec5a846124adee77451b948e62af77a1e05","observation_id":"288e073a-da1c-43f5-bf15-c9803a39a2d0","resolution":{"observed_at":"2026-06-29T07:53:13.479693Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.15213","last_updated":"2024-02-25T18:32:18Z","snapshot_observed_at":"2026-08-08T01:23:24.701475Z","submitted_at":"2023-10-23T17:55:24Z","title":"Function Vectors in Large Language Models","version":2},"cited_work":{"arxiv_id":"2310.15213","doi":"10.48550/arxiv.2310.15213","metadata_source":"arxiv_reference","pith_arxiv_id":"2310.15213","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Li, Arnab Sen Sharma, Aaron Mueller, Byron C","venue":"arXiv (Cornell University)","work_id":"dbc5264a-aabf-4346-8cbe-123e943b13b8","year":2023},"citing_paper":{"arxiv_id":"2606.04434","last_updated":"2026-06-03T04:32:09Z","snapshot_observed_at":"2026-08-07T12:27:51.071256Z","submitted_at":"2026-06-03T04:32:09Z","title":"Hyper-ICL: Attention Calibration with Hyperbolic Anchor Distillation for Multimodal In-Context Learning","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-06-28T07:23:19.428348Z"},"links":{"cited_paper":"/paper/2310.15213","citing_paper":"/paper/2606.04434"},"observation_digest":"sha256:b13bf570633bafff9952a9f0d42b00544f0313af43c06c267a776cdc67b0613e","observation_id":"462a3921-e45c-4ec8-ac0c-c719e8742145","resolution":{"observed_at":"2026-07-02T06:36:43.902685Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.15213","last_updated":"2024-02-25T18:32:18Z","snapshot_observed_at":"2026-08-08T01:23:24.701475Z","submitted_at":"2023-10-23T17:55:24Z","title":"Function Vectors in Large Language Models","version":2},"cited_work":{"arxiv_id":"2310.15213","doi":"10.48550/arxiv.2310.15213","metadata_source":"arxiv_reference","pith_arxiv_id":"2310.15213","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Li, Arnab Sen Sharma, Aaron Mueller, Byron C","venue":"arXiv (Cornell University)","work_id":"dbc5264a-aabf-4346-8cbe-123e943b13b8","year":2023},"citing_paper":{"arxiv_id":"2606.10929","last_updated":"2026-06-09T14:38:26Z","snapshot_observed_at":"2026-07-06T23:50:06.645076Z","submitted_at":"2026-06-09T14:38:26Z","title":"Recoverable but Not Stationary:Local Linear Structures in Weights and Activations","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-06-27T13:51:39.893972Z"},"links":{"cited_paper":"/paper/2310.15213","citing_paper":"/paper/2606.10929"},"observation_digest":"sha256:f515f94b3870c874fd62f6096c079e9cf8467b0c81709b87026b38fdf92a78c6","observation_id":"788a4913-48cd-4647-a40f-73de2fc9a4bb","resolution":{"observed_at":"2026-07-03T04:27:37.355320Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.15213","last_updated":"2024-02-25T18:32:18Z","snapshot_observed_at":"2026-08-08T01:23:24.701475Z","submitted_at":"2023-10-23T17:55:24Z","title":"Function Vectors in Large Language Models","version":2},"cited_work":{"arxiv_id":"2310.15213","doi":"10.48550/arxiv.2310.15213","metadata_source":"arxiv_reference","pith_arxiv_id":"2310.15213","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Li, Arnab Sen Sharma, Aaron Mueller, Byron C","venue":"arXiv (Cornell University)","work_id":"dbc5264a-aabf-4346-8cbe-123e943b13b8","year":2023},"citing_paper":{"arxiv_id":"2606.24937","last_updated":"2026-07-27T15:17:17Z","snapshot_observed_at":"2026-08-02T23:19:25.465662Z","submitted_at":"2026-06-22T17:48:54Z","title":"The Hitchhiker's Guide to Agentic AI: From Foundations to Systems","version":1},"reference_index":128,"source":"pdf_text","source_observed_at":"2026-06-26T08:09:57.542558Z"},"links":{"cited_paper":"/paper/2310.15213","citing_paper":"/paper/2606.24937"},"observation_digest":"sha256:f7fef05eccc48f4ca834755bce7a875a1c579e0d4b1328fa2555ba19bdb698f8","observation_id":"312e32d2-8b1e-466e-9a4f-22c152a22b39","resolution":{"observed_at":"2026-07-04T11:09:46.407851Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.15213","last_updated":"2024-02-25T18:32:18Z","snapshot_observed_at":"2026-08-08T01:23:24.701475Z","submitted_at":"2023-10-23T17:55:24Z","title":"Function Vectors in Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.15213","snapshot_observed_at":"2026-08-02T10:27:18.230519Z","title":"Li, Arnab Sen Sharma, Aaron Mueller, Byron C","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.24937","last_updated":"2026-07-27T15:17:17Z","snapshot_observed_at":"2026-08-02T23:19:25.465662Z","submitted_at":"2026-06-22T17:48:54Z","title":"The Hitchhiker's Guide to Agentic AI: From Foundations to Systems","version":2},"reference_index":128,"source":"pdf_text","source_observed_at":"2026-08-02T10:27:18.230519Z"},"links":{"cited_paper":"/paper/2310.15213","citing_paper":"/paper/2606.24937"},"observation_digest":"sha256:d603ad24b3b08bc4360e4172f4aa4991733a7d6e013e6cf3ee8b0a92ee2c91a4","observation_id":"28bb7b48-6c76-462e-940f-c4feb921a582","resolution":{"observed_at":"2026-08-02T10:27:18.230519Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.15213","last_updated":"2024-02-25T18:32:18Z","snapshot_observed_at":"2026-08-08T01:23:24.701475Z","submitted_at":"2023-10-23T17:55:24Z","title":"Function Vectors in Large Language Models","version":2},"cited_work":{"arxiv_id":"2310.15213","doi":"10.48550/arxiv.2310.15213","metadata_source":"arxiv_reference","pith_arxiv_id":"2310.15213","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Li, Arnab Sen Sharma, Aaron Mueller, Byron C","venue":"arXiv (Cornell University)","work_id":"dbc5264a-aabf-4346-8cbe-123e943b13b8","year":2023},"citing_paper":{"arxiv_id":"2606.26660","last_updated":"2026-06-25T06:47:39Z","snapshot_observed_at":"2026-07-07T00:00:56.276365Z","submitted_at":"2026-06-25T06:47:39Z","title":"Generating Special Triangulations with Transformers","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-06-26T03:27:36.821748Z"},"links":{"cited_paper":"/paper/2310.15213","citing_paper":"/paper/2606.26660"},"observation_digest":"sha256:dd9ecab346c6d3bafeb88f6101edf53970264727e75f8a8be25c2d714b8767ca","observation_id":"da23b906-4f2f-482e-adda-c24df10f3058","resolution":{"observed_at":"2026-07-04T14:29:54.930919Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.15213","last_updated":"2024-02-25T18:32:18Z","snapshot_observed_at":"2026-08-08T01:23:24.701475Z","submitted_at":"2023-10-23T17:55:24Z","title":"Function Vectors in Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.15213","snapshot_observed_at":"2026-08-01T23:15:30.832027Z","title":"Function vectors in large language models.arXiv preprint arXiv:2310.15213, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.15495","last_updated":"2026-07-16T22:54:30Z","snapshot_observed_at":"2026-08-07T08:22:43.917790Z","submitted_at":"2026-07-16T22:54:30Z","title":"Verbalizable Representations Form a Global Workspace in Language Models","version":1},"reference_index":163,"source":"pdf_text","source_observed_at":"2026-08-01T23:15:30.832027Z"},"links":{"cited_paper":"/paper/2310.15213","citing_paper":"/paper/2607.15495"},"observation_digest":"sha256:e7bef1cea1d57d8ba1744418fa21cf2f1ae24ce029970e246fe5fe1bcd12fbfc","observation_id":"0d6f1515-5481-4255-8fde-c1922b02d8ee","resolution":{"observed_at":"2026-08-01T23:15:30.832027Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.15213","last_updated":"2024-02-25T18:32:18Z","snapshot_observed_at":"2026-08-08T01:23:24.701475Z","submitted_at":"2023-10-23T17:55:24Z","title":"Function Vectors in Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.15213","snapshot_observed_at":"2026-08-01T19:55:53.591372Z","title":"Li, Arnab Sen Sharma, Aaron Mueller, Byron C","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.16821","last_updated":"2026-07-18T13:43:44Z","snapshot_observed_at":"2026-08-07T16:44:16.045474Z","submitted_at":"2026-07-18T13:43:44Z","title":"First-Order Predictable but Pairwise Fragile: Local Task Adaptation in Trained Transformers","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-01T19:55:53.591372Z"},"links":{"cited_paper":"/paper/2310.15213","citing_paper":"/paper/2607.16821"},"observation_digest":"sha256:ea24c57229cc1a9c8804d1bf4bfaa3aeff2748ce1af70b81457f375165c4a376","observation_id":"8cd593dd-3d86-410d-a289-7e2e79272382","resolution":{"observed_at":"2026-08-01T19:55:53.591372Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.15213","last_updated":"2024-02-25T18:32:18Z","snapshot_observed_at":"2026-08-08T01:23:24.701475Z","submitted_at":"2023-10-23T17:55:24Z","title":"Function Vectors in Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.15213","snapshot_observed_at":"2026-08-05T23:02:35.590690Z","title":"arXiv:2310.15213","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.03233","last_updated":"2026-08-04T07:04:20Z","snapshot_observed_at":"2026-08-08T01:29:10.165495Z","submitted_at":"2026-08-04T07:04:20Z","title":"On the Diversity of Analogy Making in Large Language Models","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-05T23:02:35.590690Z"},"links":{"cited_paper":"/paper/2310.15213","citing_paper":"/paper/2608.03233"},"observation_digest":"sha256:be971b29b61c8c09440e45b82f6f01c93b2aac96f087e7360eb32a97ba861bfb","observation_id":"40873664-00ad-4a4d-b145-708dadb950be","resolution":{"observed_at":"2026-08-05T23:02:35.590690Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2310.15213/citation-record","integrity":"/paper/2310.15213/integrity","json":"/paper/2310.15213/citation-record.json","paper":"/paper/2310.15213"},"outbound":[],"paper":{"arxiv_id":"2310.15213","last_updated":"2024-02-25T18:32:18Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-08T01:23:24.701475Z","submitted_at":"2023-10-23T17:55:24Z","title":"Function Vectors in Large Language Models"},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 44 inbound Pith citation observations for arXiv:2310.15213."}