{"as_of":"2026-08-09T14:33:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:5f1b50bbc6af48d8764a67eaa52831c0e5a5932b9d02c21a39d879f3958439a0","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":17,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":17,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":17,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":17,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T14:20:56.014619Z","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":"2310.15916","last_updated":"2023-10-24T15:17:14Z","snapshot_observed_at":"2026-08-08T16:51:13.490204Z","submitted_at":"2023-10-24T15:17:14Z","title":"In-Context Learning Creates Task Vectors","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.15916","snapshot_observed_at":"2026-08-07T14:20:55.863280Z","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":11,"source":"arxiv_source","source_observed_at":"2026-08-07T14:20:55.863280Z"},"links":{"cited_paper":"/paper/2310.15916","citing_paper":"/paper/2505.19333"},"observation_digest":"sha256:c2aa4806e89f34ce4d130d787247fda32ee3f5d9a3bdcc701f0fbfbb1291e4da","observation_id":"7a4fab3d-f6cd-420c-9a0f-ca7e75566f22","resolution":{"observed_at":"2026-08-07T14:20:55.863280Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.15916","last_updated":"2023-10-24T15:17:14Z","snapshot_observed_at":"2026-08-08T16:51:13.490204Z","submitted_at":"2023-10-24T15:17:14Z","title":"In-Context Learning Creates Task Vectors","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.15916","snapshot_observed_at":"2026-08-07T14:20:56.014619Z","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":13,"source":"arxiv_source","source_observed_at":"2026-08-07T14:20:56.014619Z"},"links":{"cited_paper":"/paper/2310.15916","citing_paper":"/paper/2505.19333"},"observation_digest":"sha256:125c155396541720c67ffc573cc0fe19c99c03fac11d4a276b7aa0bb5bbfdfc4","observation_id":"f5c55591-2e26-42cd-9b77-f6598abdcae4","resolution":{"observed_at":"2026-08-07T14:20:56.014619Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.15916","last_updated":"2023-10-24T15:17:14Z","snapshot_observed_at":"2026-08-08T16:51:13.490204Z","submitted_at":"2023-10-24T15:17:14Z","title":"In-Context Learning Creates Task Vectors","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.15916","snapshot_observed_at":"2026-08-07T13:58:17.900572Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.20546","last_updated":"2025-05-28T02:10:37Z","snapshot_observed_at":"2026-08-09T08:20:05.634187Z","submitted_at":"2025-05-26T22:20:45Z","title":"Paths Not Taken: Understanding and Mending the Multilingual Factual Recall Pipeline","version":2},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-07T13:58:17.900572Z"},"links":{"cited_paper":"/paper/2310.15916","citing_paper":"/paper/2505.20546"},"observation_digest":"sha256:171beed272f5d2f384676820900bc4501e30ec4282f08ec9d94d2aff1d47db8e","observation_id":"311759b9-f0d1-4bca-be6b-7972e479a276","resolution":{"observed_at":"2026-08-07T13:58:17.900572Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.15916","last_updated":"2023-10-24T15:17:14Z","snapshot_observed_at":"2026-08-08T16:51:13.490204Z","submitted_at":"2023-10-24T15:17:14Z","title":"In-Context Learning Creates Task Vectors","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.15916","snapshot_observed_at":"2026-08-07T05:44:34.837497Z","title":"Roee Hendel, Mor Geva, and Amir Globerson","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.07406","last_updated":"2026-07-06T04:18:12Z","snapshot_observed_at":"2026-08-09T08:30:35.837462Z","submitted_at":"2025-06-09T03:59:28Z","title":"InverseScope: Scalable Activation Inversion for Interpreting Large Language Models","version":3},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T05:44:34.837497Z"},"links":{"cited_paper":"/paper/2310.15916","citing_paper":"/paper/2506.07406"},"observation_digest":"sha256:d14bb95c1f05f53580ee6422f63a7113cfb95243f325bb6b32be63954f75a414","observation_id":"e292e361-3379-4728-9338-230cabb9bbb4","resolution":{"observed_at":"2026-08-07T05:44:34.837497Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.15916","last_updated":"2023-10-24T15:17:14Z","snapshot_observed_at":"2026-08-08T16:51:13.490204Z","submitted_at":"2023-10-24T15:17:14Z","title":"In-Context Learning Creates Task Vectors","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.15916","snapshot_observed_at":"2026-08-07T00:41:53.928809Z","title":"In-context learning creates task vectors.arXiv preprint arXiv:2310.15916, 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":14,"source":"pdf_text","source_observed_at":"2026-08-07T00:41:53.928809Z"},"links":{"cited_paper":"/paper/2310.15916","citing_paper":"/paper/2506.13253"},"observation_digest":"sha256:920452588629d395d46c664c964f52afbe8715834db2c9439ee7fcd1966b35a6","observation_id":"2d6f96e8-41fb-453b-b705-190f3eccad65","resolution":{"observed_at":"2026-08-07T00:41:53.928809Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.15916","last_updated":"2023-10-24T15:17:14Z","snapshot_observed_at":"2026-08-08T16:51:13.490204Z","submitted_at":"2023-10-24T15:17:14Z","title":"In-Context Learning Creates Task Vectors","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.15916","snapshot_observed_at":"2026-08-06T21:02:42.379822Z","title":"In-context learning creates task vectors","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.01368","last_updated":"2025-07-02T05:10:29Z","snapshot_observed_at":"2026-08-09T13:26:45.734009Z","submitted_at":"2025-07-02T05:10:29Z","title":"Activation Reward Models for Few-Shot Model Alignment","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T21:02:42.379822Z"},"links":{"cited_paper":"/paper/2310.15916","citing_paper":"/paper/2507.01368"},"observation_digest":"sha256:64122c58ed92a54fe1642c1bd67e542102417289697ac212ba8d3018a9dad7ce","observation_id":"2b2b4cff-a11b-420f-ad15-f45d39767669","resolution":{"observed_at":"2026-08-06T21:02:42.379822Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.15916","last_updated":"2023-10-24T15:17:14Z","snapshot_observed_at":"2026-08-08T16:51:13.490204Z","submitted_at":"2023-10-24T15:17:14Z","title":"In-Context Learning Creates Task Vectors","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.15916","snapshot_observed_at":"2026-08-06T15:31:24.713262Z","title":"Hendel, M","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":7,"source":"pdf_text","source_observed_at":"2026-08-06T15:31:24.713262Z"},"links":{"cited_paper":"/paper/2310.15916","citing_paper":"/paper/2507.16003"},"observation_digest":"sha256:54222a62ae6941e25ead1708cd5af94bc4fde1143f3824d86ed77574d439b0fa","observation_id":"587eebb5-67a3-4a9b-be97-16d3fb41ca57","resolution":{"observed_at":"2026-08-06T15:31:24.713262Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.15916","last_updated":"2023-10-24T15:17:14Z","snapshot_observed_at":"2026-08-08T16:51:13.490204Z","submitted_at":"2023-10-24T15:17:14Z","title":"In-Context Learning Creates Task Vectors","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.15916","snapshot_observed_at":"2026-08-06T15:20:38.652663Z","title":"In-context learning creates task vectors","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.16217","last_updated":"2025-08-29T18:45:22Z","snapshot_observed_at":"2026-08-08T13:31:49.745762Z","submitted_at":"2025-07-22T04:21:03Z","title":"Towards Compute-Optimal Many-Shot In-Context Learning","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T15:20:38.652663Z"},"links":{"cited_paper":"/paper/2310.15916","citing_paper":"/paper/2507.16217"},"observation_digest":"sha256:b6112b913f3dfac567959bcad0f651da7634ed540abd67ce7f87b2a58669ea0f","observation_id":"9cb024c4-16b0-4950-b111-3ee26af8895f","resolution":{"observed_at":"2026-08-06T15:20:38.652663Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.15916","last_updated":"2023-10-24T15:17:14Z","snapshot_observed_at":"2026-08-08T16:51:13.490204Z","submitted_at":"2023-10-24T15:17:14Z","title":"In-Context Learning Creates Task Vectors","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.15916","snapshot_observed_at":"2026-08-06T13:16:49.239910Z","title":"In-context learning cre- ates task vectors,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.20888","last_updated":"2025-07-28T14:39:46Z","snapshot_observed_at":"2026-08-07T21:58:03.408334Z","submitted_at":"2025-07-28T14:39:46Z","title":"Enhancing Project-Specific Code Completion by Inferring Internal API Information","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-06T13:16:49.239910Z"},"links":{"cited_paper":"/paper/2310.15916","citing_paper":"/paper/2507.20888"},"observation_digest":"sha256:becf3e8168caf8eb0eedecdf00b44a9ea411849ba7766c3089c6c3bbc3ee8d3e","observation_id":"0ddf8fdb-6b0e-467e-b964-7f68a790e3c8","resolution":{"observed_at":"2026-08-06T13:16:49.239910Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.15916","last_updated":"2023-10-24T15:17:14Z","snapshot_observed_at":"2026-08-08T16:51:13.490204Z","submitted_at":"2023-10-24T15:17:14Z","title":"In-Context Learning Creates Task Vectors","version":1},"cited_work":{"arxiv_id":"2310.15916","doi":"10.48550/arxiv.2310.15916","metadata_source":"arxiv_reference","pith_arxiv_id":"2310.15916","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"In-context learning creates task vectors","venue":"arXiv (Cornell University)","work_id":"e6b2e251-a1ae-4feb-9352-2ad2785ea7cc","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":6,"source":"pdf_text","source_observed_at":"2026-05-19T02:41:52.906516Z"},"links":{"cited_paper":"/paper/2310.15916","citing_paper":"/paper/2507.20906"},"observation_digest":"sha256:013bc255b8e8827267251a1135403c75c5d7bd63633a4b56660e61021be7bb45","observation_id":"00fa3d1e-0823-4976-b8a6-4d3e4b163f39","resolution":{"observed_at":"2026-05-19T02:41:59.797922Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.15916","last_updated":"2023-10-24T15:17:14Z","snapshot_observed_at":"2026-08-08T16:51:13.490204Z","submitted_at":"2023-10-24T15:17:14Z","title":"In-Context Learning Creates Task Vectors","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.15916","snapshot_observed_at":"2026-08-06T00:55:56.686649Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.04153","last_updated":"2025-08-06T07:28:25Z","snapshot_observed_at":"2026-08-07T15:10:08.429378Z","submitted_at":"2025-08-06T07:28:25Z","title":"ICM-Fusion: In-Context Meta-Optimized LoRA Fusion for Multi-Task Adaptation","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-06T00:55:56.686649Z"},"links":{"cited_paper":"/paper/2310.15916","citing_paper":"/paper/2508.04153"},"observation_digest":"sha256:ff35ce5b99d13492adf158dc43fe80a5f74f404671f3e91b9b3bafca1fb53814","observation_id":"cbd2201b-9df8-4312-8c52-6b1aa89b6c92","resolution":{"observed_at":"2026-08-06T00:55:56.686649Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.15916","last_updated":"2023-10-24T15:17:14Z","snapshot_observed_at":"2026-08-08T16:51:13.490204Z","submitted_at":"2023-10-24T15:17:14Z","title":"In-Context Learning Creates Task Vectors","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.15916","snapshot_observed_at":"2026-08-04T14:50:22.808650Z","title":"In-context learning creates task vectors.arXiv preprint arXiv:2310.15916,","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":9,"source":"pdf_text","source_observed_at":"2026-08-04T14:50:22.808650Z"},"links":{"cited_paper":"/paper/2310.15916","citing_paper":"/paper/2509.22854"},"observation_digest":"sha256:abb92e8f903267784966f3931a5eab12d4541c75a845bcbe35640fa93ce4bcfb","observation_id":"44a17e93-b972-45ac-9a3c-0beca0d9a932","resolution":{"observed_at":"2026-08-04T14:50:22.808650Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.15916","last_updated":"2023-10-24T15:17:14Z","snapshot_observed_at":"2026-08-08T16:51:13.490204Z","submitted_at":"2023-10-24T15:17:14Z","title":"In-Context Learning Creates Task Vectors","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.15916","snapshot_observed_at":"2026-08-04T14:43:12.104751Z","title":"In-context learning creates task vectors, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.23782","last_updated":"2026-06-01T03:35:05Z","snapshot_observed_at":"2026-08-04T14:43:07.447205Z","submitted_at":"2025-09-28T09:57:24Z","title":"Bridging the Knowledge-Prediction Gap in LLMs on Multiple-Choice Questions","version":4},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-04T14:43:12.104751Z"},"links":{"cited_paper":"/paper/2310.15916","citing_paper":"/paper/2509.23782"},"observation_digest":"sha256:f2a2348d4304155dba58a4cb0a2f3d8eabd701d511600422d3c44fdc539f8238","observation_id":"bb0ef333-e192-411f-9aa1-fae9edeb02cb","resolution":{"observed_at":"2026-08-04T14:43:12.104751Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.15916","last_updated":"2023-10-24T15:17:14Z","snapshot_observed_at":"2026-08-08T16:51:13.490204Z","submitted_at":"2023-10-24T15:17:14Z","title":"In-Context Learning Creates Task Vectors","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.15916","snapshot_observed_at":"2026-08-04T12:44:41.828160Z","title":"In-context learning creates task vectors.arXiv preprint arXiv:2310.15916,","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":8,"source":"pdf_text","source_observed_at":"2026-08-04T12:44:41.828160Z"},"links":{"cited_paper":"/paper/2310.15916","citing_paper":"/paper/2510.02528"},"observation_digest":"sha256:f5dd87704dde4c9ce9d3be133207ef6e54645bb7aaaa1ba167950c7b3b3634f6","observation_id":"471bf564-8b18-4611-9926-538ddd761c18","resolution":{"observed_at":"2026-08-04T12:44:41.828160Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.15916","last_updated":"2023-10-24T15:17:14Z","snapshot_observed_at":"2026-08-08T16:51:13.490204Z","submitted_at":"2023-10-24T15:17:14Z","title":"In-Context Learning Creates Task Vectors","version":1},"cited_work":{"arxiv_id":"2310.15916","doi":"10.48550/arxiv.2310.15916","metadata_source":"arxiv_reference","pith_arxiv_id":"2310.15916","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"In-context learning creates task vectors","venue":"arXiv (Cornell University)","work_id":"e6b2e251-a1ae-4feb-9352-2ad2785ea7cc","year":2023},"citing_paper":{"arxiv_id":"2605.12809","last_updated":"2026-05-12T23:01:29Z","snapshot_observed_at":"2026-07-06T23:24:27.821980Z","submitted_at":"2026-05-12T23:01:29Z","title":"Correcting Influence: Unboxing LLM Outputs with Orthogonal Latent Spaces","version":1},"reference_index":247,"source":"arxiv_source","source_observed_at":"2026-05-14T20:17:01.224864Z"},"links":{"cited_paper":"/paper/2310.15916","citing_paper":"/paper/2605.12809"},"observation_digest":"sha256:00de61680bcad2ae9891384669bf987d6f9109ca8840b280f46740ccd2f131b7","observation_id":"9c061e94-485b-45cd-b228-a8ddcdcf0d69","resolution":{"observed_at":"2026-05-14T20:17:54.329872Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.15916","last_updated":"2023-10-24T15:17:14Z","snapshot_observed_at":"2026-08-08T16:51:13.490204Z","submitted_at":"2023-10-24T15:17:14Z","title":"In-Context Learning Creates Task Vectors","version":1},"cited_work":{"arxiv_id":"2310.15916","doi":"10.48550/arxiv.2310.15916","metadata_source":"arxiv_reference","pith_arxiv_id":"2310.15916","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"In-context learning creates task vectors","venue":"arXiv (Cornell University)","work_id":"e6b2e251-a1ae-4feb-9352-2ad2785ea7cc","year":2023},"citing_paper":{"arxiv_id":"2606.04945","last_updated":"2026-06-08T08:41:05Z","snapshot_observed_at":"2026-08-02T15:48:27.544154Z","submitted_at":"2026-06-03T14:34:35Z","title":"STaR-Quant: State-Time Consistent Post-Training Quantization for Diffusion Large Language Models","version":2},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-06-28T07:14:26.441339Z"},"links":{"cited_paper":"/paper/2310.15916","citing_paper":"/paper/2606.04945"},"observation_digest":"sha256:aea02f89c944a0f9031774615066c23b84515225607b18b799586ac127b43440","observation_id":"f93d1d11-87a3-4e68-902a-5addd41112dd","resolution":{"observed_at":"2026-07-02T07:06:43.732027Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.15916","last_updated":"2023-10-24T15:17:14Z","snapshot_observed_at":"2026-08-08T16:51:13.490204Z","submitted_at":"2023-10-24T15:17:14Z","title":"In-Context Learning Creates Task Vectors","version":1},"cited_work":{"arxiv_id":"2310.15916","doi":"10.48550/arxiv.2310.15916","metadata_source":"arxiv_reference","pith_arxiv_id":"2310.15916","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"In-context learning creates task vectors","venue":"arXiv (Cornell University)","work_id":"e6b2e251-a1ae-4feb-9352-2ad2785ea7cc","year":2023},"citing_paper":{"arxiv_id":"2606.13607","last_updated":"2026-06-11T17:23:10Z","snapshot_observed_at":"2026-08-08T15:21:19.738713Z","submitted_at":"2026-06-11T17:23:10Z","title":"Reasoning as Pattern Matching: Shared Mechanisms in Human and LLM Everyday Reasoning","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-06-27T06:44:31.919126Z"},"links":{"cited_paper":"/paper/2310.15916","citing_paper":"/paper/2606.13607"},"observation_digest":"sha256:2486805dead84b3259ef5acb1bbe0516bd68fcce13b81ea24876243d71d1c133","observation_id":"fba300ce-5cb2-47ff-ad3c-4e08eb02462e","resolution":{"observed_at":"2026-07-03T15:08:32.713191Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2310.15916/citation-record","integrity":"/paper/2310.15916/integrity","json":"/paper/2310.15916/citation-record.json","paper":"/paper/2310.15916"},"outbound":[],"paper":{"arxiv_id":"2310.15916","last_updated":"2023-10-24T15:17:14Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-08T16:51:13.490204Z","submitted_at":"2023-10-24T15:17:14Z","title":"In-Context Learning Creates Task Vectors"},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 17 inbound Pith citation observations for arXiv:2310.15916."}