{"as_of":"2026-08-09T11:24:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:5cd3f0d7194fee71d063e88ae63d6817e6f6cb43f1420af6d579413830fc9b97","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":5,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":5,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":5,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":5,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T13:14:08.070786Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-18T05:40:56.036122Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2311.18021","last_updated":"2024-12-07T15:34:23Z","snapshot_observed_at":"2026-07-06T16:54:37.940527Z","submitted_at":"2023-11-29T19:08:11Z","title":"Can Multimodal Large Language Models Truly Perform Multimodal In-Context Learning?","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.18021","snapshot_observed_at":"2026-08-07T13:14:08.070786Z","title":"Understanding and improving in-context learning on vision-language models.arXiv preprint arXiv:2311.18021, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.22396","last_updated":"2025-05-28T14:24:02Z","snapshot_observed_at":"2026-08-09T06:04:09.043938Z","submitted_at":"2025-05-28T14:24:02Z","title":"Zooming from Context to Cue: Hierarchical Preference Optimization for Multi-Image MLLMs","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-07T13:14:08.070786Z"},"links":{"cited_paper":"/paper/2311.18021","citing_paper":"/paper/2505.22396"},"observation_digest":"sha256:43b978e5a19e3bc5ade8099c5453803d998e7b6494b9e97401c501f3ae1c6e8e","observation_id":"805c69e3-cfec-4ccb-b641-a27539f7c170","resolution":{"observed_at":"2026-08-07T13:14:08.070786Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.18021","last_updated":"2024-12-07T15:34:23Z","snapshot_observed_at":"2026-07-06T16:54:37.940527Z","submitted_at":"2023-11-29T19:08:11Z","title":"Can Multimodal Large Language Models Truly Perform Multimodal In-Context Learning?","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.18021","snapshot_observed_at":"2026-08-07T05:25:30.347857Z","title":"Can Multimodal Large Language Models Truly Perform Multi- modal In-Context Learning?, December 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.07936","last_updated":"2025-06-09T16:55:32Z","snapshot_observed_at":"2026-08-08T00:05:54.804087Z","submitted_at":"2025-06-09T16:55:32Z","title":"Mimicking or Reasoning: Rethinking Multi-Modal In-Context Learning in Vision-Language Models","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T05:25:30.347857Z"},"links":{"cited_paper":"/paper/2311.18021","citing_paper":"/paper/2506.07936"},"observation_digest":"sha256:1ab8c686c89c3b03bade2080bebf85b4329cbd89ed8e772591fc16e769c5d714","observation_id":"0a990664-95bc-4ed7-9107-548f6eb72e66","resolution":{"observed_at":"2026-08-07T05:25:30.347857Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.18021","last_updated":"2024-12-07T15:34:23Z","snapshot_observed_at":"2026-07-06T16:54:37.940527Z","submitted_at":"2023-11-29T19:08:11Z","title":"Can Multimodal Large Language Models Truly Perform Multimodal In-Context Learning?","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.18021","snapshot_observed_at":"2026-08-06T15:29:33.637147Z","title":"Benchmarking robustness of adaptation methods on pre-trained vision-language models","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.15807","last_updated":"2025-08-06T09:36:34Z","snapshot_observed_at":"2026-08-07T23:52:34.092202Z","submitted_at":"2025-07-21T17:08:18Z","title":"True Multimodal In-Context Learning Needs Attention to the Visual Context","version":2},"reference_index":2020,"source":"pdf_text","source_observed_at":"2026-08-06T15:29:33.637147Z"},"links":{"cited_paper":"/paper/2311.18021","citing_paper":"/paper/2507.15807"},"observation_digest":"sha256:5c8f93ce67d3cb4feefe3eaef37ec78b5ab0f1929308189986e425ff6c863070","observation_id":"d0efde7c-62a4-4f48-934c-376553f6b27a","resolution":{"observed_at":"2026-08-06T15:29:33.637147Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.18021","last_updated":"2024-12-07T15:34:23Z","snapshot_observed_at":"2026-07-06T16:54:37.940527Z","submitted_at":"2023-11-29T19:08:11Z","title":"Can Multimodal Large Language Models Truly Perform Multimodal In-Context Learning?","version":2},"cited_work":{"arxiv_id":"2311.18021","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2311.18021","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Shuo Chen, Zhen Han, Bailan He, Jianzhe Liu, Mark Buckley, Yao Qin, Philip Torr, V olker Tresp, and Jindong Gu","venue":null,"work_id":"6b80443b-a76f-41af-9c05-ee504fc0b5cb","year":2024},"citing_paper":{"arxiv_id":"2510.18117","last_updated":"2026-04-07T16:14:59Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-10-20T21:35:17Z","title":"Online In-Context Distillation for Low-Resource Vision Language Models","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-18T05:36:38.735914Z"},"links":{"cited_paper":"/paper/2311.18021","citing_paper":"/paper/2510.18117"},"observation_digest":"sha256:3f4496251789fafe230d5ce43c1f189e5ad053dda24c677220c659ab7d2a5750","observation_id":"f7798c12-b2f3-499a-afef-f652dc53e1b7","resolution":{"observed_at":"2026-05-18T05:40:56.038621Z","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":"2311.18021","last_updated":"2024-12-07T15:34:23Z","snapshot_observed_at":"2026-07-06T16:54:37.940527Z","submitted_at":"2023-11-29T19:08:11Z","title":"Can Multimodal Large Language Models Truly Perform Multimodal In-Context Learning?","version":2},"cited_work":{"arxiv_id":"2311.18021","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2311.18021","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Shuo Chen, Zhen Han, Bailan He, Jianzhe Liu, Mark Buckley, Yao Qin, Philip Torr, V olker Tresp, and Jindong Gu","venue":null,"work_id":"6b80443b-a76f-41af-9c05-ee504fc0b5cb","year":2024},"citing_paper":{"arxiv_id":"2604.13403","last_updated":"2026-04-15T02:12:51Z","snapshot_observed_at":"2026-07-06T23:01:23.771347Z","submitted_at":"2026-04-15T02:12:51Z","title":"Why Multimodal In-Context Learning Lags Behind? Unveiling the Inner Mechanisms and Bottlenecks","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-05-10T13:41:37.942145Z"},"links":{"cited_paper":"/paper/2311.18021","citing_paper":"/paper/2604.13403"},"observation_digest":"sha256:79f3d32e9f5ce57ace7f6df5d76ba9b6a00ff503bd29a5bca1192b93b61f1229","observation_id":"488fc930-8120-4fcb-aefc-b2555ab85a12","resolution":{"observed_at":"2026-05-10T13:45:28.206259Z","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/2311.18021/citation-record","integrity":"/paper/2311.18021/integrity","json":"/paper/2311.18021/citation-record.json","paper":"/paper/2311.18021"},"outbound":[],"paper":{"arxiv_id":"2311.18021","last_updated":"2024-12-07T15:34:23Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-07-06T16:54:37.940527Z","submitted_at":"2023-11-29T19:08:11Z","title":"Can Multimodal Large Language Models Truly Perform Multimodal In-Context Learning?"},"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 5 inbound Pith citation observations for arXiv:2311.18021."}