{"as_of":"2026-08-17T05:04:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:fd0ba8b60ff3aea6646a3f27378dcee38a96f42b41ce88cac2f3bcf8c599f5e5","coverage":[{"denominator":68,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":68,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-16T10:29:47.634759Z","state":"measured"},{"denominator":68,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":68,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-16T06:30:59.297886+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2504.18158/citation-record","integrity":"/paper/2504.18158/integrity","json":"/paper/2504.18158/citation-record.json","paper":"/paper/2504.18158"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2108.07258","last_updated":"2022-07-12T23:45:14Z","snapshot_observed_at":"2026-08-02T09:20:40.804790Z","submitted_at":"2021-08-16T17:50:08Z","title":"On the Opportunities and Risks of Foundation Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2108.07258","snapshot_observed_at":"2026-08-16T10:29:47.330427Z","title":"Bommasani, D","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2504.18158","last_updated":"2025-04-25T08:12:58Z","snapshot_observed_at":"2026-08-16T14:36:49.499895Z","submitted_at":"2025-04-25T08:12:58Z","title":"E-InMeMo: Enhanced Prompting for Visual In-Context Learning","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-16T10:29:47.330427Z"},"links":{"cited_paper":"/paper/2108.07258","citing_paper":"/paper/2504.18158"},"observation_digest":"sha256:1650ce766fdc5b5b220bf8906f9822b1579614c6ceba9aed5480cbaef45e5645","observation_id":"ffbb51dc-40d2-4534-8bbe-af8835101c19","resolution":{"observed_at":"2026-08-16T10:29:47.330427Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2010.11929","last_updated":"2021-06-03T13:08:56Z","snapshot_observed_at":"2026-08-16T09:25:53.087782Z","submitted_at":"2020-10-22T17:55:59Z","title":"An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.11929","snapshot_observed_at":"2026-08-16T10:29:47.336184Z","title":"Dosovitskiy, L","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2504.18158","last_updated":"2025-04-25T08:12:58Z","snapshot_observed_at":"2026-08-16T14:36:49.499895Z","submitted_at":"2025-04-25T08:12:58Z","title":"E-InMeMo: Enhanced Prompting for Visual In-Context Learning","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-16T10:29:47.336184Z"},"links":{"cited_paper":"/paper/2010.11929","citing_paper":"/paper/2504.18158"},"observation_digest":"sha256:29ce2ff21b1eed77d48bdb419548891e0590460247716475c41bb20f88ff5280","observation_id":"90db514d-f575-4fc8-b274-bff460bd4f59","resolution":{"observed_at":"2026-08-16T10:29:47.336184Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T10:29:47.341003Z","title":"Radford, J","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2504.18158","last_updated":"2025-04-25T08:12:58Z","snapshot_observed_at":"2026-08-16T14:36:49.499895Z","submitted_at":"2025-04-25T08:12:58Z","title":"E-InMeMo: Enhanced Prompting for Visual In-Context Learning","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-16T10:29:47.341003Z"},"links":{"citing_paper":"/paper/2504.18158"},"observation_digest":"sha256:a9d2493f3ced5d1f5e7502ded946b6e6bd7caff6596ae93244f258e1cfa4aff1","observation_id":"291976f6-9022-49b2-94f0-2b925653f7bd","resolution":{"observed_at":"2026-08-16T10:29:47.341003Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T10:29:48.645267Z","title":null,"venue":null,"work_id":"1dd39156-e0fa-4193-a8ef-24c1d12f4915","year":2025},"citing_paper":{"arxiv_id":"2504.18158","last_updated":"2025-04-25T08:12:58Z","snapshot_observed_at":"2026-08-16T14:36:49.499895Z","submitted_at":"2025-04-25T08:12:58Z","title":"E-InMeMo: Enhanced Prompting for Visual In-Context Learning","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-16T10:29:47.345542Z"},"links":{"citing_paper":"/paper/2504.18158"},"observation_digest":"sha256:8cc7e901ddc0004382922f7a30ad457c7ac4b1dc77e2ee99a4bd014ff0ae8618","observation_id":"7141ec2b-a9a8-4e94-b1f9-7effb0695114","resolution":{"observed_at":"2026-08-16T10:29:48.650092Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.11805","last_updated":"2025-05-09T21:04:06Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-12-19T02:39:27Z","title":"Gemini: A Family of Highly Capable Multimodal Models","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.11805","snapshot_observed_at":"2026-08-16T10:29:47.350128Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2504.18158","last_updated":"2025-04-25T08:12:58Z","snapshot_observed_at":"2026-08-16T14:36:49.499895Z","submitted_at":"2025-04-25T08:12:58Z","title":"E-InMeMo: Enhanced Prompting for Visual In-Context Learning","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-16T10:29:47.350128Z"},"links":{"cited_paper":"/paper/2312.11805","citing_paper":"/paper/2504.18158"},"observation_digest":"sha256:e0e323827fc245279b46e3e7d5472b2ed32586dc4018498d05afa15523e14882","observation_id":"f1f0da4a-1453-4487-8ef3-f7bb958406e6","resolution":{"observed_at":"2026-08-16T10:29:47.350128Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2112.08633","last_updated":"2022-05-08T05:17:15Z","snapshot_observed_at":"2026-08-16T17:34:12.412424Z","submitted_at":"2021-12-16T05:17:56Z","title":"Learning To Retrieve Prompts for In-Context Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2112.08633","snapshot_observed_at":"2026-08-16T10:29:47.355204Z","title":"Rubin, J","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2504.18158","last_updated":"2025-04-25T08:12:58Z","snapshot_observed_at":"2026-08-16T14:36:49.499895Z","submitted_at":"2025-04-25T08:12:58Z","title":"E-InMeMo: Enhanced Prompting for Visual In-Context Learning","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-16T10:29:47.355204Z"},"links":{"cited_paper":"/paper/2112.08633","citing_paper":"/paper/2504.18158"},"observation_digest":"sha256:4e68744c62220590cec06ccb192299afe4b31230e6541655d30af6ce6305d94c","observation_id":"c7dfc1e8-b21a-4144-944f-1d9647047035","resolution":{"observed_at":"2026-08-16T10:29:47.355204Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2212.04037","last_updated":"2024-09-12T19:54:37Z","snapshot_observed_at":"2026-08-16T16:10:09.840290Z","submitted_at":"2022-12-08T02:21:47Z","title":"Demystifying Prompts in Language Models via Perplexity Estimation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2212.04037","snapshot_observed_at":"2026-08-16T10:29:47.361270Z","title":"Gonen, S","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2504.18158","last_updated":"2025-04-25T08:12:58Z","snapshot_observed_at":"2026-08-16T14:36:49.499895Z","submitted_at":"2025-04-25T08:12:58Z","title":"E-InMeMo: Enhanced Prompting for Visual In-Context Learning","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-16T10:29:47.361270Z"},"links":{"cited_paper":"/paper/2212.04037","citing_paper":"/paper/2504.18158"},"observation_digest":"sha256:04a2eed416e1f522df62e9f7a76169ab1fc483d19afd32dfc950e237317e9a14","observation_id":"8bfd3e10-ad73-45e5-b486-8590d8b6e4e8","resolution":{"observed_at":"2026-08-16T10:29:47.361270Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2212.10375","last_updated":"2023-05-03T14:43:50Z","snapshot_observed_at":"2026-08-16T16:07:15.963608Z","submitted_at":"2022-12-20T15:55:21Z","title":"Self-Adaptive In-Context Learning: An Information Compression Perspective for In-Context Example Selection and Ordering","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2212.10375","snapshot_observed_at":"2026-08-16T10:29:47.366203Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2504.18158","last_updated":"2025-04-25T08:12:58Z","snapshot_observed_at":"2026-08-16T14:36:49.499895Z","submitted_at":"2025-04-25T08:12:58Z","title":"E-InMeMo: Enhanced Prompting for Visual In-Context Learning","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-16T10:29:47.366203Z"},"links":{"cited_paper":"/paper/2212.10375","citing_paper":"/paper/2504.18158"},"observation_digest":"sha256:dfe440617afcf387eaea506e9e2c4ae9214c78cae861721cb233b1143e9c9ebe","observation_id":"292d9b77-d4e4-4287-a2ec-6b1774c73709","resolution":{"observed_at":"2026-08-16T10:29:47.366203Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2203.11364","last_updated":"2022-03-21T21:51:43Z","snapshot_observed_at":"2026-08-16T17:12:51.491962Z","submitted_at":"2022-03-21T21:51:43Z","title":"An Information-theoretic Approach to Prompt Engineering Without Ground Truth Labels","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2203.11364","snapshot_observed_at":"2026-08-16T10:29:47.370915Z","title":"Sorensen, J","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2504.18158","last_updated":"2025-04-25T08:12:58Z","snapshot_observed_at":"2026-08-16T14:36:49.499895Z","submitted_at":"2025-04-25T08:12:58Z","title":"E-InMeMo: Enhanced Prompting for Visual In-Context Learning","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-16T10:29:47.370915Z"},"links":{"cited_paper":"/paper/2203.11364","citing_paper":"/paper/2504.18158"},"observation_digest":"sha256:7edc10bb9ec6616343a5c39a85896aa8e731cfb1f5c0551418915bb34dfa9e51","observation_id":"9fd81634-0ebf-4ecc-9743-ab5084a2882e","resolution":{"observed_at":"2026-08-16T10:29:47.370915Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2205.10782","last_updated":"2022-05-22T09:22:37Z","snapshot_observed_at":"2026-08-16T21:45:21.900700Z","submitted_at":"2022-05-22T09:22:37Z","title":"Instruction Induction: From Few Examples to Natural Language Task Descriptions","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2205.10782","snapshot_observed_at":"2026-08-16T10:29:47.375877Z","title":"Honovich, U","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2504.18158","last_updated":"2025-04-25T08:12:58Z","snapshot_observed_at":"2026-08-16T14:36:49.499895Z","submitted_at":"2025-04-25T08:12:58Z","title":"E-InMeMo: Enhanced Prompting for Visual In-Context Learning","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-16T10:29:47.375877Z"},"links":{"cited_paper":"/paper/2205.10782","citing_paper":"/paper/2504.18158"},"observation_digest":"sha256:953ba58c038c299b2b6dbc2e34b6bf168f3ce61c396ae05fef0524f36d917b44","observation_id":"34b74177-cfe4-4f69-8a21-a8f38bb5034d","resolution":{"observed_at":"2026-08-16T10:29:47.375877Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2212.10560","last_updated":"2023-05-25T23:50:07Z","snapshot_observed_at":"2026-08-15T15:06:42.719366Z","submitted_at":"2022-12-20T18:59:19Z","title":"Self-Instruct: Aligning Language Models with Self-Generated Instructions","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2212.10560","snapshot_observed_at":"2026-08-16T10:29:47.380474Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2504.18158","last_updated":"2025-04-25T08:12:58Z","snapshot_observed_at":"2026-08-16T14:36:49.499895Z","submitted_at":"2025-04-25T08:12:58Z","title":"E-InMeMo: Enhanced Prompting for Visual In-Context Learning","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-16T10:29:47.380474Z"},"links":{"cited_paper":"/paper/2212.10560","citing_paper":"/paper/2504.18158"},"observation_digest":"sha256:1dd38a9e8adb29e3845226a0f54970a472edbd1343455a2c511e6601029f5060","observation_id":"f7743764-778e-41c9-8d3a-0742adb8236e","resolution":{"observed_at":"2026-08-16T10:29:47.380474Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2108.04106","last_updated":"2022-03-15T06:53:43Z","snapshot_observed_at":"2026-08-16T18:04:20.905418Z","submitted_at":"2021-08-09T15:06:26Z","title":"Noisy Channel Language Model Prompting for Few-Shot Text Classification","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2108.04106","snapshot_observed_at":"2026-08-16T10:29:47.385196Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2504.18158","last_updated":"2025-04-25T08:12:58Z","snapshot_observed_at":"2026-08-16T14:36:49.499895Z","submitted_at":"2025-04-25T08:12:58Z","title":"E-InMeMo: Enhanced Prompting for Visual In-Context Learning","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-16T10:29:47.385196Z"},"links":{"cited_paper":"/paper/2108.04106","citing_paper":"/paper/2504.18158"},"observation_digest":"sha256:47fb3778346b4ccb68c2a7db4c27dfdf040f9df13bdb131c97e9622c78662ee0","observation_id":"0a5e5bf8-1726-4100-846f-8345d5452aa2","resolution":{"observed_at":"2026-08-16T10:29:47.385196Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.04237","last_updated":"2025-03-11T04:36:35Z","snapshot_observed_at":"2026-08-14T06:40:46.394076Z","submitted_at":"2024-12-05T15:17:06Z","title":"VASCAR: Content-Aware Layout Generation via Visual-Aware Self-Correction","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.04237","snapshot_observed_at":"2026-08-16T10:29:47.389823Z","title":"Zhang, R","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.18158","last_updated":"2025-04-25T08:12:58Z","snapshot_observed_at":"2026-08-16T14:36:49.499895Z","submitted_at":"2025-04-25T08:12:58Z","title":"E-InMeMo: Enhanced Prompting for Visual In-Context Learning","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-16T10:29:47.389823Z"},"links":{"cited_paper":"/paper/2412.04237","citing_paper":"/paper/2504.18158"},"observation_digest":"sha256:2947f6c0f6d28cdf5cf8e4c85c65e1a08ae6c50f5206c79125d9f637eadff076","observation_id":"45d60004-c317-43ee-a1a3-d2f4115018b2","resolution":{"observed_at":"2026-08-16T10:29:47.389823Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T10:29:48.630449Z","title":null,"venue":null,"work_id":"e2220673-e714-4c1f-8e41-64fc26879db3","year":2024},"citing_paper":{"arxiv_id":"2504.18158","last_updated":"2025-04-25T08:12:58Z","snapshot_observed_at":"2026-08-16T14:36:49.499895Z","submitted_at":"2025-04-25T08:12:58Z","title":"E-InMeMo: Enhanced Prompting for Visual In-Context Learning","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-16T10:29:47.394501Z"},"links":{"citing_paper":"/paper/2504.18158"},"observation_digest":"sha256:944f135b3b197e8c4cbb7ef4dc56aa35981282e76870d4a4dd655c53bfddcc0d","observation_id":"f70b666f-06f1-4c81-b5d8-63e59344e540","resolution":{"observed_at":"2026-08-16T10:29:48.634844Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T10:29:47.398641Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2504.18158","last_updated":"2025-04-25T08:12:58Z","snapshot_observed_at":"2026-08-16T14:36:49.499895Z","submitted_at":"2025-04-25T08:12:58Z","title":"E-InMeMo: Enhanced Prompting for Visual In-Context Learning","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-16T10:29:47.398641Z"},"links":{"citing_paper":"/paper/2504.18158"},"observation_digest":"sha256:c580263649bd45bc20e33df9095ab54ca64a49f816b4ef51fe4ad3b9ef0a9aee","observation_id":"c1cbb1f7-00c4-4d45-979b-842d8a5e0b72","resolution":{"observed_at":"2026-08-16T10:29:47.398641Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2301.13670","last_updated":"2023-02-01T08:38:14Z","snapshot_observed_at":"2026-08-16T15:58:49.680124Z","submitted_at":"2023-01-31T14:40:05Z","title":"What Makes Good Examples for Visual In-Context Learning?","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.13670","snapshot_observed_at":"2026-08-16T10:29:47.402909Z","title":"Zhang, K","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2504.18158","last_updated":"2025-04-25T08:12:58Z","snapshot_observed_at":"2026-08-16T14:36:49.499895Z","submitted_at":"2025-04-25T08:12:58Z","title":"E-InMeMo: Enhanced Prompting for Visual In-Context Learning","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-16T10:29:47.402909Z"},"links":{"cited_paper":"/paper/2301.13670","citing_paper":"/paper/2504.18158"},"observation_digest":"sha256:45719df86d577b6c0379b44cd0c0e408046bc0800f5840c4ef825f5bbe2eba8c","observation_id":"cdc6a3b0-1529-4835-bedb-6309ca03e235","resolution":{"observed_at":"2026-08-16T10:29:47.402909Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T10:29:48.607215Z","title":null,"venue":null,"work_id":"af2f1a5d-60a8-4c16-a0a2-140fd34bd215","year":2023},"citing_paper":{"arxiv_id":"2504.18158","last_updated":"2025-04-25T08:12:58Z","snapshot_observed_at":"2026-08-16T14:36:49.499895Z","submitted_at":"2025-04-25T08:12:58Z","title":"E-InMeMo: Enhanced Prompting for Visual In-Context Learning","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-16T10:29:47.407490Z"},"links":{"citing_paper":"/paper/2504.18158"},"observation_digest":"sha256:894308af908b6db24931070e0075ae51d2b6fcd16717747367be1ea450b123b5","observation_id":"18e5d519-9236-4375-a455-699030e0a40c","resolution":{"observed_at":"2026-08-16T10:29:48.611537Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T10:29:47.412034Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2504.18158","last_updated":"2025-04-25T08:12:58Z","snapshot_observed_at":"2026-08-16T14:36:49.499895Z","submitted_at":"2025-04-25T08:12:58Z","title":"E-InMeMo: Enhanced Prompting for Visual In-Context Learning","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-16T10:29:47.412034Z"},"links":{"citing_paper":"/paper/2504.18158"},"observation_digest":"sha256:39edc149585f3aaa6dac403fcc95ca88b60de8f39dd71b5b204afd29d094a0f0","observation_id":"8347d952-d66d-4236-9ca8-d417dbaea01a","resolution":{"observed_at":"2026-08-16T10:29:47.412034Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2203.17274","last_updated":"2022-06-03T17:52:04Z","snapshot_observed_at":"2026-08-16T17:10:09.647539Z","submitted_at":"2022-03-31T17:59:30Z","title":"Exploring Visual Prompts for Adapting Large-Scale Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2203.17274","snapshot_observed_at":"2026-08-16T10:29:47.416431Z","title":"Bahng, A","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2504.18158","last_updated":"2025-04-25T08:12:58Z","snapshot_observed_at":"2026-08-16T14:36:49.499895Z","submitted_at":"2025-04-25T08:12:58Z","title":"E-InMeMo: Enhanced Prompting for Visual In-Context Learning","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-16T10:29:47.416431Z"},"links":{"cited_paper":"/paper/2203.17274","citing_paper":"/paper/2504.18158"},"observation_digest":"sha256:3b7e5a53fd1a34c798642d6b86cd3c52cda50c46c3fa356f054626d879081498","observation_id":"2de664f1-ea97-44ef-b6e3-9d58ca17034b","resolution":{"observed_at":"2026-08-16T10:29:47.416431Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T10:29:48.593319Z","title":null,"venue":null,"work_id":"69805abc-3eeb-4706-b43f-ffd050231a9d","year":2023},"citing_paper":{"arxiv_id":"2504.18158","last_updated":"2025-04-25T08:12:58Z","snapshot_observed_at":"2026-08-16T14:36:49.499895Z","submitted_at":"2025-04-25T08:12:58Z","title":"E-InMeMo: Enhanced Prompting for Visual In-Context Learning","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-16T10:29:47.421122Z"},"links":{"citing_paper":"/paper/2504.18158"},"observation_digest":"sha256:d3ea62d42c798196260a070ec8772670d36a3d354ca088a2d9929260e303d063","observation_id":"be371e5f-6526-401d-8b9e-34ee3f3304b3","resolution":{"observed_at":"2026-08-16T10:29:48.597674Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T10:29:48.579102Z","title":null,"venue":null,"work_id":"4c281838-c13c-4786-92bc-95bd260af7e2","year":2023},"citing_paper":{"arxiv_id":"2504.18158","last_updated":"2025-04-25T08:12:58Z","snapshot_observed_at":"2026-08-16T14:36:49.499895Z","submitted_at":"2025-04-25T08:12:58Z","title":"E-InMeMo: Enhanced Prompting for Visual In-Context Learning","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-16T10:29:47.425526Z"},"links":{"citing_paper":"/paper/2504.18158"},"observation_digest":"sha256:c877ebb41acbfd9b4ddc6dbde7b51434087c414beab33a18f6e3a3e8824dd87e","observation_id":"bf016c99-b379-473a-a5f6-d1eaf3399fdf","resolution":{"observed_at":"2026-08-16T10:29:48.583802Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T10:29:47.429778Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2504.18158","last_updated":"2025-04-25T08:12:58Z","snapshot_observed_at":"2026-08-16T14:36:49.499895Z","submitted_at":"2025-04-25T08:12:58Z","title":"E-InMeMo: Enhanced Prompting for Visual In-Context Learning","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-16T10:29:47.429778Z"},"links":{"citing_paper":"/paper/2504.18158"},"observation_digest":"sha256:6af6cf9b9ec08b14ec5475eae30e1b37f75300921031fda1c81cd764ddc296e0","observation_id":"6eb965b4-9087-49d4-b043-01fa96bf7ca4","resolution":{"observed_at":"2026-08-16T10:29:47.429778Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2104.08691","last_updated":"2021-09-02T17:34:41Z","snapshot_observed_at":"2026-08-16T20:01:36.160048Z","submitted_at":"2021-04-18T03:19:26Z","title":"The Power of Scale for Parameter-Efficient Prompt Tuning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2104.08691","snapshot_observed_at":"2026-08-16T10:29:47.434049Z","title":"Lester, R","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2504.18158","last_updated":"2025-04-25T08:12:58Z","snapshot_observed_at":"2026-08-16T14:36:49.499895Z","submitted_at":"2025-04-25T08:12:58Z","title":"E-InMeMo: Enhanced Prompting for Visual In-Context Learning","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-16T10:29:47.434049Z"},"links":{"cited_paper":"/paper/2104.08691","citing_paper":"/paper/2504.18158"},"observation_digest":"sha256:4f87ee5846b680f442b70f587f751d3bd8cb56644d9680207c2fef66673ee4ac","observation_id":"ba22443e-62d6-46fe-9f5d-559a999c3a0d","resolution":{"observed_at":"2026-08-16T10:29:47.434049Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2101.00190","last_updated":"2021-01-01T08:00:36Z","snapshot_observed_at":"2026-08-12T12:37:28.207761Z","submitted_at":"2021-01-01T08:00:36Z","title":"Prefix-Tuning: Optimizing Continuous Prompts for Generation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2101.00190","snapshot_observed_at":"2026-08-16T10:29:47.438491Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2504.18158","last_updated":"2025-04-25T08:12:58Z","snapshot_observed_at":"2026-08-16T14:36:49.499895Z","submitted_at":"2025-04-25T08:12:58Z","title":"E-InMeMo: Enhanced Prompting for Visual In-Context Learning","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-16T10:29:47.438491Z"},"links":{"cited_paper":"/paper/2101.00190","citing_paper":"/paper/2504.18158"},"observation_digest":"sha256:ba626a4dad628e2f123266a8262a124f7af1ee3ec6bc208440e6b5389e769fcb","observation_id":"5b322507-2806-4448-8181-5f1df6beab8b","resolution":{"observed_at":"2026-08-16T10:29:47.438491Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T10:29:47.442895Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2504.18158","last_updated":"2025-04-25T08:12:58Z","snapshot_observed_at":"2026-08-16T14:36:49.499895Z","submitted_at":"2025-04-25T08:12:58Z","title":"E-InMeMo: Enhanced Prompting for Visual In-Context Learning","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-16T10:29:47.442895Z"},"links":{"citing_paper":"/paper/2504.18158"},"observation_digest":"sha256:a94bf0f430c88d2410b6ca27e591c57d25216af13ffc007f56a1a2f78d4c4d99","observation_id":"a47ad356-b63c-4709-961e-99f67779a5cf","resolution":{"observed_at":"2026-08-16T10:29:47.442895Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1806.11146","last_updated":"2018-11-29T22:50:01Z","snapshot_observed_at":"2026-08-14T18:57:52.025130Z","submitted_at":"2018-06-28T19:06:26Z","title":"Adversarial Reprogramming of Neural Networks","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1806.11146","snapshot_observed_at":"2026-08-16T10:29:47.447471Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2504.18158","last_updated":"2025-04-25T08:12:58Z","snapshot_observed_at":"2026-08-16T14:36:49.499895Z","submitted_at":"2025-04-25T08:12:58Z","title":"E-InMeMo: Enhanced Prompting for Visual In-Context Learning","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-16T10:29:47.447471Z"},"links":{"cited_paper":"/paper/1806.11146","citing_paper":"/paper/2504.18158"},"observation_digest":"sha256:ffe110e4ba267e500156b28d73159cb5fc4a782834f5a7a84656e82970a8f2b8","observation_id":"367fd93f-192c-405f-81dc-d24fa58ffaa8","resolution":{"observed_at":"2026-08-16T10:29:47.447471Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T10:29:48.547413Z","title":"Neekhara, S","venue":null,"work_id":"8e1674dc-4ffc-4269-a24a-267e80f082e8","year":2022},"citing_paper":{"arxiv_id":"2504.18158","last_updated":"2025-04-25T08:12:58Z","snapshot_observed_at":"2026-08-16T14:36:49.499895Z","submitted_at":"2025-04-25T08:12:58Z","title":"E-InMeMo: Enhanced Prompting for Visual In-Context Learning","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-16T10:29:47.452194Z"},"links":{"citing_paper":"/paper/2504.18158"},"observation_digest":"sha256:930e7a89e09290a4a79e8877a8647b858924c93fa4e0d60151d188563913be5a","observation_id":"7eb2478a-d23e-4aac-a453-3f4de3cf7380","resolution":{"observed_at":"2026-08-16T10:29:48.551841Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T10:29:48.532613Z","title":"Zhang, B","venue":null,"work_id":"042fae67-dce2-411b-8439-307786ff7729","year":2024},"citing_paper":{"arxiv_id":"2504.18158","last_updated":"2025-04-25T08:12:58Z","snapshot_observed_at":"2026-08-16T14:36:49.499895Z","submitted_at":"2025-04-25T08:12:58Z","title":"E-InMeMo: Enhanced Prompting for Visual In-Context Learning","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-16T10:29:47.456341Z"},"links":{"citing_paper":"/paper/2504.18158"},"observation_digest":"sha256:bb140ca334d180bfce3455e0a91a067179abb92c090f3b99d8797978fdc922a0","observation_id":"499a41d9-c3f3-4f04-aca3-6bc093685fec","resolution":{"observed_at":"2026-08-16T10:29:48.537221Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2304.07193","last_updated":"2024-02-02T10:24:09Z","snapshot_observed_at":"2026-08-11T10:12:11.384939Z","submitted_at":"2023-04-14T15:12:19Z","title":"DINOv2: Learning Robust Visual Features without Supervision","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.07193","snapshot_observed_at":"2026-08-16T10:29:47.460845Z","title":"Oquab, T","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2504.18158","last_updated":"2025-04-25T08:12:58Z","snapshot_observed_at":"2026-08-16T14:36:49.499895Z","submitted_at":"2025-04-25T08:12:58Z","title":"E-InMeMo: Enhanced Prompting for Visual In-Context Learning","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-16T10:29:47.460845Z"},"links":{"cited_paper":"/paper/2304.07193","citing_paper":"/paper/2504.18158"},"observation_digest":"sha256:75d9e7dccf916ff4979752d60be51ec37c582172241b6d09814344a9a884318c","observation_id":"68f1ee6b-e0c6-427c-9e39-705ef5dbfa2e","resolution":{"observed_at":"2026-08-16T10:29:47.460845Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T10:29:47.465555Z","title":"Brown, B","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2504.18158","last_updated":"2025-04-25T08:12:58Z","snapshot_observed_at":"2026-08-16T14:36:49.499895Z","submitted_at":"2025-04-25T08:12:58Z","title":"E-InMeMo: Enhanced Prompting for Visual In-Context Learning","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-16T10:29:47.465555Z"},"links":{"citing_paper":"/paper/2504.18158"},"observation_digest":"sha256:838e32c3bc937c6892e93b38e74e3db08b80d44b1fbf9a9547c284fb579dc3b0","observation_id":"5add1da1-34d5-48d1-a9f8-c05e94063524","resolution":{"observed_at":"2026-08-16T10:29:47.465555Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2301.00234","last_updated":"2024-10-05T11:47:02Z","snapshot_observed_at":"2026-07-06T14:36:25.690733Z","submitted_at":"2022-12-31T15:57:09Z","title":"A Survey on In-context Learning","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.00234","snapshot_observed_at":"2026-08-16T10:29:47.469755Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2504.18158","last_updated":"2025-04-25T08:12:58Z","snapshot_observed_at":"2026-08-16T14:36:49.499895Z","submitted_at":"2025-04-25T08:12:58Z","title":"E-InMeMo: Enhanced Prompting for Visual In-Context Learning","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-16T10:29:47.469755Z"},"links":{"cited_paper":"/paper/2301.00234","citing_paper":"/paper/2504.18158"},"observation_digest":"sha256:03ae804896f4c59abc16b077de7534cf0219d453984f15cd0a0a3d6e4b66d31e","observation_id":"1700f376-d579-49a2-b41b-5151c05e42ef","resolution":{"observed_at":"2026-08-16T10:29:47.469755Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2101.06804","last_updated":"2021-01-17T23:38:40Z","snapshot_observed_at":"2026-08-16T18:51:47.106761Z","submitted_at":"2021-01-17T23:38:40Z","title":"What Makes Good In-Context Examples for GPT-$3$?","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2101.06804","snapshot_observed_at":"2026-08-16T10:29:47.474264Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2504.18158","last_updated":"2025-04-25T08:12:58Z","snapshot_observed_at":"2026-08-16T14:36:49.499895Z","submitted_at":"2025-04-25T08:12:58Z","title":"E-InMeMo: Enhanced Prompting for Visual In-Context Learning","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-16T10:29:47.474264Z"},"links":{"cited_paper":"/paper/2101.06804","citing_paper":"/paper/2504.18158"},"observation_digest":"sha256:eef9295154a5178dbcc418fe1b934a4ee87a5fc3281e14d08ce2a7a2b8e96794","observation_id":"868f714b-d207-4fd3-8e7e-eed992b97f1e","resolution":{"observed_at":"2026-08-16T10:29:47.474264Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2104.08786","last_updated":"2022-03-03T12:10:58Z","snapshot_observed_at":"2026-08-16T18:30:47.388503Z","submitted_at":"2021-04-18T09:29:16Z","title":"Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2104.08786","snapshot_observed_at":"2026-08-16T10:29:47.478889Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2504.18158","last_updated":"2025-04-25T08:12:58Z","snapshot_observed_at":"2026-08-16T14:36:49.499895Z","submitted_at":"2025-04-25T08:12:58Z","title":"E-InMeMo: Enhanced Prompting for Visual In-Context Learning","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-16T10:29:47.478889Z"},"links":{"cited_paper":"/paper/2104.08786","citing_paper":"/paper/2504.18158"},"observation_digest":"sha256:56828ae9386843db277dd9f97df9bfeda727e7b7024b786d0ebf1843608aa6c0","observation_id":"11305957-d461-4df8-a754-9f4857304333","resolution":{"observed_at":"2026-08-16T10:29:47.478889Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T10:29:48.507128Z","title":null,"venue":null,"work_id":"dea98d17-f788-42dd-bbd6-4c9fd250e1f0","year":1980},"citing_paper":{"arxiv_id":"2504.18158","last_updated":"2025-04-25T08:12:58Z","snapshot_observed_at":"2026-08-16T14:36:49.499895Z","submitted_at":"2025-04-25T08:12:58Z","title":"E-InMeMo: Enhanced Prompting for Visual In-Context Learning","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-16T10:29:47.483888Z"},"links":{"citing_paper":"/paper/2504.18158"},"observation_digest":"sha256:6772dbeebedcdd564a1a9617f2043d5e3055de6ced29214848d29183ef1a4194","observation_id":"d511e5c4-ba03-49cc-9953-2d3f1eb9863d","resolution":{"observed_at":"2026-08-16T10:29:48.512233Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T10:29:48.491506Z","title":null,"venue":null,"work_id":"fa0a32d7-ccdd-4f2d-b2f2-301f48b19b93","year":2022},"citing_paper":{"arxiv_id":"2504.18158","last_updated":"2025-04-25T08:12:58Z","snapshot_observed_at":"2026-08-16T14:36:49.499895Z","submitted_at":"2025-04-25T08:12:58Z","title":"E-InMeMo: Enhanced Prompting for Visual In-Context Learning","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-16T10:29:47.488161Z"},"links":{"citing_paper":"/paper/2504.18158"},"observation_digest":"sha256:545cf06f114f54ba3e2be3a6dd1aff09c324afefd6c7fc65f5ad4d2f11e91f4d","observation_id":"68314900-9289-4d04-84da-ea3512694009","resolution":{"observed_at":"2026-08-16T10:29:48.496226Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2204.02311","last_updated":"2022-10-05T06:02:24Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-04-05T16:11:45Z","title":"PaLM: Scaling Language Modeling with Pathways","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2204.02311","snapshot_observed_at":"2026-08-16T10:29:47.492459Z","title":"Chowdhery, S","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2504.18158","last_updated":"2025-04-25T08:12:58Z","snapshot_observed_at":"2026-08-16T14:36:49.499895Z","submitted_at":"2025-04-25T08:12:58Z","title":"E-InMeMo: Enhanced Prompting for Visual In-Context Learning","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-16T10:29:47.492459Z"},"links":{"cited_paper":"/paper/2204.02311","citing_paper":"/paper/2504.18158"},"observation_digest":"sha256:5dc5e812461ff95dc40e7b8452c5d7a884d1d15ddca716ea18d4d135dccf52bd","observation_id":"a62e1b93-42ec-43aa-bb7d-bc9755450103","resolution":{"observed_at":"2026-08-16T10:29:47.492459Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2110.15943","last_updated":"2022-05-03T10:36:39Z","snapshot_observed_at":"2026-08-16T17:45:21.510670Z","submitted_at":"2021-10-29T17:42:08Z","title":"MetaICL: Learning to Learn In Context","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2110.15943","snapshot_observed_at":"2026-08-16T10:29:47.496947Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2504.18158","last_updated":"2025-04-25T08:12:58Z","snapshot_observed_at":"2026-08-16T14:36:49.499895Z","submitted_at":"2025-04-25T08:12:58Z","title":"E-InMeMo: Enhanced Prompting for Visual In-Context Learning","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-16T10:29:47.496947Z"},"links":{"cited_paper":"/paper/2110.15943","citing_paper":"/paper/2504.18158"},"observation_digest":"sha256:e2ecac25ee2db9d8a9d88be787546f195275a6cc3e5235efb41fe6f6e66c87ba","observation_id":"59f0f7d8-dcab-409d-b052-69dd1ea6efd8","resolution":{"observed_at":"2026-08-16T10:29:47.496947Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2206.08082","last_updated":"2022-06-16T10:52:13Z","snapshot_observed_at":"2026-08-16T16:52:34.042622Z","submitted_at":"2022-06-16T10:52:13Z","title":"Self-Generated In-Context Learning: Leveraging Auto-regressive Language Models as a Demonstration Generator","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2206.08082","snapshot_observed_at":"2026-08-16T10:29:47.501604Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2504.18158","last_updated":"2025-04-25T08:12:58Z","snapshot_observed_at":"2026-08-16T14:36:49.499895Z","submitted_at":"2025-04-25T08:12:58Z","title":"E-InMeMo: Enhanced Prompting for Visual In-Context Learning","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-16T10:29:47.501604Z"},"links":{"cited_paper":"/paper/2206.08082","citing_paper":"/paper/2504.18158"},"observation_digest":"sha256:2130a2d4e1dac8049fc97288c266dc823058f2574822f87fb40be854d7da2084","observation_id":"e49061c4-eccc-4dd3-94b9-aa1069605131","resolution":{"observed_at":"2026-08-16T10:29:47.501604Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T10:29:48.476275Z","title":null,"venue":null,"work_id":"02878eaf-403f-4fa6-974f-a7f6f816a14e","year":2022},"citing_paper":{"arxiv_id":"2504.18158","last_updated":"2025-04-25T08:12:58Z","snapshot_observed_at":"2026-08-16T14:36:49.499895Z","submitted_at":"2025-04-25T08:12:58Z","title":"E-InMeMo: Enhanced Prompting for Visual In-Context Learning","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-16T10:29:47.506117Z"},"links":{"citing_paper":"/paper/2504.18158"},"observation_digest":"sha256:f5edbd559e16a3f6abb3cb9f3dfa209684427c8e0c159561e28f1774d636a7e3","observation_id":"046a1c10-de21-4c08-afed-c646491a7709","resolution":{"observed_at":"2026-08-16T10:29:48.481566Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03350","last_updated":"2023-10-17T18:57:17Z","snapshot_observed_at":"2026-08-15T17:25:43.175408Z","submitted_at":"2022-10-07T06:50:23Z","title":"Measuring and Narrowing the Compositionality Gap in Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.03350","snapshot_observed_at":"2026-08-16T10:29:47.510370Z","title":"Press, M","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2504.18158","last_updated":"2025-04-25T08:12:58Z","snapshot_observed_at":"2026-08-16T14:36:49.499895Z","submitted_at":"2025-04-25T08:12:58Z","title":"E-InMeMo: Enhanced Prompting for Visual In-Context Learning","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-16T10:29:47.510370Z"},"links":{"cited_paper":"/paper/2210.03350","citing_paper":"/paper/2504.18158"},"observation_digest":"sha256:b5eba237599f7fc195e1f54fdbf7040bc4762f521fade73a37f01b40a189093b","observation_id":"db641fee-b606-41f5-96f2-b222a811ff51","resolution":{"observed_at":"2026-08-16T10:29:47.510370Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.04835","last_updated":"2023-06-09T02:25:29Z","snapshot_observed_at":"2026-08-16T15:34:44.292528Z","submitted_at":"2023-05-08T16:32:18Z","title":"How Do In-Context Examples Affect Compositional Generalization?","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.04835","snapshot_observed_at":"2026-08-16T10:29:47.514690Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2504.18158","last_updated":"2025-04-25T08:12:58Z","snapshot_observed_at":"2026-08-16T14:36:49.499895Z","submitted_at":"2025-04-25T08:12:58Z","title":"E-InMeMo: Enhanced Prompting for Visual In-Context Learning","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-16T10:29:47.514690Z"},"links":{"cited_paper":"/paper/2305.04835","citing_paper":"/paper/2504.18158"},"observation_digest":"sha256:4e6639c69c0fb183c6b5e06d07a5d7c1bf9e939971d1a1e7ccfe348545fb1a69","observation_id":"879eb562-e3a9-4e2e-89e5-16a2e9482b43","resolution":{"observed_at":"2026-08-16T10:29:47.514690Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2211.08473","last_updated":"2022-11-15T19:56:37Z","snapshot_observed_at":"2026-08-16T16:15:53.971517Z","submitted_at":"2022-11-15T19:56:37Z","title":"On the Compositional Generalization Gap of In-Context Learning","version":1},"cited_work":{"arxiv_id":"2211.08473","doi":null,"metadata_source":"pith","pith_arxiv_id":"2211.08473","snapshot_observed_at":"2026-08-16T10:29:47.772336Z","title":"On the Compositional Generalization Gap of In-Context Learning","venue":"cs.CL","work_id":"e555a114-9619-4461-9e39-617141ac7dbf","year":2022},"citing_paper":{"arxiv_id":"2504.18158","last_updated":"2025-04-25T08:12:58Z","snapshot_observed_at":"2026-08-16T14:36:49.499895Z","submitted_at":"2025-04-25T08:12:58Z","title":"E-InMeMo: Enhanced Prompting for Visual In-Context Learning","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-16T10:29:47.519452Z"},"links":{"cited_paper":"/paper/2211.08473","citing_paper":"/paper/2504.18158"},"observation_digest":"sha256:92ef2f7284a198ee6573c7945a6294478276e04aa51620a3220ec101ba80507d","observation_id":"4a1122b9-fe85-49cc-8cd8-85bdcd845ebf","resolution":{"observed_at":"2026-08-16T10:29:47.779665Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T10:29:48.461827Z","title":"Alayrac, J","venue":null,"work_id":"6b818cb5-9769-487e-81a5-36830fc23a20","year":2022},"citing_paper":{"arxiv_id":"2504.18158","last_updated":"2025-04-25T08:12:58Z","snapshot_observed_at":"2026-08-16T14:36:49.499895Z","submitted_at":"2025-04-25T08:12:58Z","title":"E-InMeMo: Enhanced Prompting for Visual In-Context Learning","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-16T10:29:47.524214Z"},"links":{"citing_paper":"/paper/2504.18158"},"observation_digest":"sha256:84421e1f5e946e7a53697e6cca54fe5e3e14733130f803875473db329ba16037","observation_id":"ebad198e-1822-461b-9120-86f521ea30fd","resolution":{"observed_at":"2026-08-16T10:29:48.466435Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T10:29:48.447941Z","title":null,"venue":null,"work_id":"af14c783-4fb7-492f-b126-e49262e04e97","year":2024},"citing_paper":{"arxiv_id":"2504.18158","last_updated":"2025-04-25T08:12:58Z","snapshot_observed_at":"2026-08-16T14:36:49.499895Z","submitted_at":"2025-04-25T08:12:58Z","title":"E-InMeMo: Enhanced Prompting for Visual In-Context Learning","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-16T10:29:47.528438Z"},"links":{"citing_paper":"/paper/2504.18158"},"observation_digest":"sha256:6a9fa327d2226bff4e96c5f341bdb27c9054d2d4c39807e1c293ff55a7eee894","observation_id":"56ca79e7-9437-4448-afea-7498d0fbf9ce","resolution":{"observed_at":"2026-08-16T10:29:48.452419Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T10:29:48.433345Z","title":null,"venue":null,"work_id":"7b89b764-4fe1-467f-8dcb-08ab8f76f684","year":2023},"citing_paper":{"arxiv_id":"2504.18158","last_updated":"2025-04-25T08:12:58Z","snapshot_observed_at":"2026-08-16T14:36:49.499895Z","submitted_at":"2025-04-25T08:12:58Z","title":"E-InMeMo: Enhanced Prompting for Visual In-Context Learning","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-16T10:29:47.532701Z"},"links":{"citing_paper":"/paper/2504.18158"},"observation_digest":"sha256:85ceebc590b226be297390bb5ffb17eb3a3fe94481180f2da749eac7c242a33e","observation_id":"d55cc559-ab5c-48dd-b2e9-e1f32b0c193f","resolution":{"observed_at":"2026-08-16T10:29:48.438074Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T10:29:47.536860Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2504.18158","last_updated":"2025-04-25T08:12:58Z","snapshot_observed_at":"2026-08-16T14:36:49.499895Z","submitted_at":"2025-04-25T08:12:58Z","title":"E-InMeMo: Enhanced Prompting for Visual In-Context Learning","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-16T10:29:47.536860Z"},"links":{"citing_paper":"/paper/2504.18158"},"observation_digest":"sha256:1ee61bb02ca45524dd0fa9b0cb116b1a239b1bdfff47866ed775717fa5c953d2","observation_id":"3b640bd1-7e4b-441a-ac62-7bace1ffa896","resolution":{"observed_at":"2026-08-16T10:29:47.536860Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2005.00247","last_updated":"2021-01-26T12:54:33Z","snapshot_observed_at":"2026-08-11T03:47:32.551562Z","submitted_at":"2020-05-01T07:03:42Z","title":"AdapterFusion: Non-Destructive Task Composition for Transfer Learning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2005.00247","snapshot_observed_at":"2026-08-16T10:29:47.541236Z","title":"Pfeiffer, A","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2504.18158","last_updated":"2025-04-25T08:12:58Z","snapshot_observed_at":"2026-08-16T14:36:49.499895Z","submitted_at":"2025-04-25T08:12:58Z","title":"E-InMeMo: Enhanced Prompting for Visual In-Context Learning","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-16T10:29:47.541236Z"},"links":{"cited_paper":"/paper/2005.00247","citing_paper":"/paper/2504.18158"},"observation_digest":"sha256:faaad58992a21b1146d765d3c3960b66b0191a4eaa04c3062e5e48a6f914b9f7","observation_id":"b2363e63-e74a-46c1-8753-803389b46bf7","resolution":{"observed_at":"2026-08-16T10:29:47.541236Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T10:29:48.409955Z","title":"Houlsby, A","venue":null,"work_id":"b62b394e-75ce-40db-ad16-ea3480d9adcf","year":2019},"citing_paper":{"arxiv_id":"2504.18158","last_updated":"2025-04-25T08:12:58Z","snapshot_observed_at":"2026-08-16T14:36:49.499895Z","submitted_at":"2025-04-25T08:12:58Z","title":"E-InMeMo: Enhanced Prompting for Visual In-Context Learning","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-16T10:29:47.545744Z"},"links":{"citing_paper":"/paper/2504.18158"},"observation_digest":"sha256:61f23946016d1a065186792668dfc5b23a87388905d2a4afe572bc1d7d3f716f","observation_id":"9be1fd26-72b4-4e59-95e9-4e0e4d5b18fa","resolution":{"observed_at":"2026-08-16T10:29:48.414702Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.16199","last_updated":"2024-09-18T23:54:36Z","snapshot_observed_at":"2026-08-13T10:46:50.834601Z","submitted_at":"2023-03-28T17:59:12Z","title":"LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.16199","snapshot_observed_at":"2026-08-16T10:29:47.550107Z","title":"Zhang, J","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2504.18158","last_updated":"2025-04-25T08:12:58Z","snapshot_observed_at":"2026-08-16T14:36:49.499895Z","submitted_at":"2025-04-25T08:12:58Z","title":"E-InMeMo: Enhanced Prompting for Visual In-Context Learning","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-16T10:29:47.550107Z"},"links":{"cited_paper":"/paper/2303.16199","citing_paper":"/paper/2504.18158"},"observation_digest":"sha256:7036892fb8054e43271f09ff1142214e27e03584ceaf1d0ae325f5951738c5ee","observation_id":"cf61b7f6-845b-482d-9249-989538e9a05f","resolution":{"observed_at":"2026-08-16T10:29:47.550107Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2108.02035","last_updated":"2022-03-18T16:18:46Z","snapshot_observed_at":"2026-08-16T18:05:19.862838Z","submitted_at":"2021-08-04T13:00:16Z","title":"Knowledgeable Prompt-tuning: Incorporating Knowledge into Prompt Verbalizer for Text Classification","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2108.02035","snapshot_observed_at":"2026-08-16T10:29:47.555070Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2504.18158","last_updated":"2025-04-25T08:12:58Z","snapshot_observed_at":"2026-08-16T14:36:49.499895Z","submitted_at":"2025-04-25T08:12:58Z","title":"E-InMeMo: Enhanced Prompting for Visual In-Context Learning","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-16T10:29:47.555070Z"},"links":{"cited_paper":"/paper/2108.02035","citing_paper":"/paper/2504.18158"},"observation_digest":"sha256:7915285238fb9d28d1bd64000d140d4b2df6887248074192edafaa3d70d2dfd8","observation_id":"9f607ffd-3249-4a57-854b-1c5ab3fec7e2","resolution":{"observed_at":"2026-08-16T10:29:47.555070Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T10:29:48.396155Z","title":"Tsai, P.-Y","venue":null,"work_id":"33872ba9-f15c-444e-9d68-6ad5a2aa0a59","year":2020},"citing_paper":{"arxiv_id":"2504.18158","last_updated":"2025-04-25T08:12:58Z","snapshot_observed_at":"2026-08-16T14:36:49.499895Z","submitted_at":"2025-04-25T08:12:58Z","title":"E-InMeMo: Enhanced Prompting for Visual In-Context Learning","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-16T10:29:47.559541Z"},"links":{"citing_paper":"/paper/2504.18158"},"observation_digest":"sha256:a2b574f60b37cd108868fb6e4fa037eff7c4ce55d1fdf8fdb2cfffcd269e5171","observation_id":"558e48c7-1c47-4e3d-9535-452e28d24179","resolution":{"observed_at":"2026-08-16T10:29:48.400556Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T10:29:48.382322Z","title":null,"venue":null,"work_id":"65d31f6d-92bb-422c-98d7-a219367237fc","year":2022},"citing_paper":{"arxiv_id":"2504.18158","last_updated":"2025-04-25T08:12:58Z","snapshot_observed_at":"2026-08-16T14:36:49.499895Z","submitted_at":"2025-04-25T08:12:58Z","title":"E-InMeMo: Enhanced Prompting for Visual In-Context Learning","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-16T10:29:47.563899Z"},"links":{"citing_paper":"/paper/2504.18158"},"observation_digest":"sha256:01e5f3c00d03b6705d6652baf73a2c23a73db0f93d8d2fc7be3ca4f7dc1bee8f","observation_id":"3a9cbee3-f1ce-413b-8fe0-234ff36cdf9c","resolution":{"observed_at":"2026-08-16T10:29:48.386821Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T10:29:47.568187Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2504.18158","last_updated":"2025-04-25T08:12:58Z","snapshot_observed_at":"2026-08-16T14:36:49.499895Z","submitted_at":"2025-04-25T08:12:58Z","title":"E-InMeMo: Enhanced Prompting for Visual In-Context Learning","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-16T10:29:47.568187Z"},"links":{"citing_paper":"/paper/2504.18158"},"observation_digest":"sha256:ef15b5f658c2d9d1a48d4061cd5dd1774bc5f79e7d10fd6913f4ecd515b61a62","observation_id":"1eb61cbc-5d73-474a-99df-8b4644c45b75","resolution":{"observed_at":"2026-08-16T10:29:47.568187Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T10:29:48.359110Z","title":null,"venue":null,"work_id":"30555fcb-ff86-4f99-b15e-5a830a1a4703","year":2024},"citing_paper":{"arxiv_id":"2504.18158","last_updated":"2025-04-25T08:12:58Z","snapshot_observed_at":"2026-08-16T14:36:49.499895Z","submitted_at":"2025-04-25T08:12:58Z","title":"E-InMeMo: Enhanced Prompting for Visual In-Context Learning","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-16T10:29:47.572470Z"},"links":{"citing_paper":"/paper/2504.18158"},"observation_digest":"sha256:452538392ea74e4857f5a9b144fdd3a46616fbb2492029f92d840c39377fb448","observation_id":"3703533b-fcfb-44b8-9ff3-dce7608c7347","resolution":{"observed_at":"2026-08-16T10:29:48.363456Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.08381","last_updated":"2024-03-10T19:00:00Z","snapshot_observed_at":"2026-08-16T14:52:40.641236Z","submitted_at":"2023-10-12T14:55:31Z","title":"AutoVP: An Automated Visual Prompting Framework and Benchmark","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.08381","snapshot_observed_at":"2026-08-16T10:29:47.577091Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2504.18158","last_updated":"2025-04-25T08:12:58Z","snapshot_observed_at":"2026-08-16T14:36:49.499895Z","submitted_at":"2025-04-25T08:12:58Z","title":"E-InMeMo: Enhanced Prompting for Visual In-Context Learning","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-16T10:29:47.577091Z"},"links":{"cited_paper":"/paper/2310.08381","citing_paper":"/paper/2504.18158"},"observation_digest":"sha256:309ea6ec80f4a1025fdbf759125d81cd3504afc9d031f7a290df8d710221a37e","observation_id":"a59e6be8-4abc-4620-a179-924360324131","resolution":{"observed_at":"2026-08-16T10:29:47.577091Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T10:29:48.345161Z","title":null,"venue":null,"work_id":"aeeb7b50-8895-4296-a41a-bea1a4870103","year":2022},"citing_paper":{"arxiv_id":"2504.18158","last_updated":"2025-04-25T08:12:58Z","snapshot_observed_at":"2026-08-16T14:36:49.499895Z","submitted_at":"2025-04-25T08:12:58Z","title":"E-InMeMo: Enhanced Prompting for Visual In-Context Learning","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-16T10:29:47.581675Z"},"links":{"citing_paper":"/paper/2504.18158"},"observation_digest":"sha256:0e322cec2108be65df569969c88a4a900c3e2587db3cc2cd77ff80e7a14e1275","observation_id":"2a129177-a458-45bc-a7db-cc8751ba8269","resolution":{"observed_at":"2026-08-16T10:29:48.349867Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T10:29:47.585879Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2504.18158","last_updated":"2025-04-25T08:12:58Z","snapshot_observed_at":"2026-08-16T14:36:49.499895Z","submitted_at":"2025-04-25T08:12:58Z","title":"E-InMeMo: Enhanced Prompting for Visual In-Context Learning","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-16T10:29:47.585879Z"},"links":{"citing_paper":"/paper/2504.18158"},"observation_digest":"sha256:8c537259c329a69316d7d055c08a2ea9e20ff0d1807ed7f1a9f97468a3885543","observation_id":"b08ad045-7743-44c9-bc07-f7ad2abeaf98","resolution":{"observed_at":"2026-08-16T10:29:47.585879Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T10:29:48.322575Z","title":"Esser, R","venue":null,"work_id":"1aacbef0-1596-4bb0-804e-aaa16826a1df","year":2021},"citing_paper":{"arxiv_id":"2504.18158","last_updated":"2025-04-25T08:12:58Z","snapshot_observed_at":"2026-08-16T14:36:49.499895Z","submitted_at":"2025-04-25T08:12:58Z","title":"E-InMeMo: Enhanced Prompting for Visual In-Context Learning","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-16T10:29:47.590533Z"},"links":{"citing_paper":"/paper/2504.18158"},"observation_digest":"sha256:36ecfdff5ee2211dddf1b38eedc009931860ce20f583ed9378d3c38c560c8025","observation_id":"1268ef5a-1777-48ec-94d1-b8c226912cb5","resolution":{"observed_at":"2026-08-16T10:29:48.326811Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1709.03410","last_updated":"2017-09-11T14:34:58Z","snapshot_observed_at":"2026-08-14T20:34:21.863331Z","submitted_at":"2017-09-11T14:34:58Z","title":"One-Shot Learning for Semantic Segmentation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1709.03410","snapshot_observed_at":"2026-08-16T10:29:47.594871Z","title":"Shaban, S","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2504.18158","last_updated":"2025-04-25T08:12:58Z","snapshot_observed_at":"2026-08-16T14:36:49.499895Z","submitted_at":"2025-04-25T08:12:58Z","title":"E-InMeMo: Enhanced Prompting for Visual In-Context Learning","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-16T10:29:47.594871Z"},"links":{"cited_paper":"/paper/1709.03410","citing_paper":"/paper/2504.18158"},"observation_digest":"sha256:a5c78d2039c9825b13e8a3329146146618bb336a231ecbbcbbebe012897d8a48","observation_id":"65e22a2b-48d7-48f8-b8bb-5225a9233422","resolution":{"observed_at":"2026-08-16T10:29:47.594871Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T10:29:47.599388Z","title":"Everingham, L","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2504.18158","last_updated":"2025-04-25T08:12:58Z","snapshot_observed_at":"2026-08-16T14:36:49.499895Z","submitted_at":"2025-04-25T08:12:58Z","title":"E-InMeMo: Enhanced Prompting for Visual In-Context Learning","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-16T10:29:47.599388Z"},"links":{"citing_paper":"/paper/2504.18158"},"observation_digest":"sha256:48bd43dcf0d95da72abebbb33c736287b96b171805362a5f905826afe27b4037","observation_id":"d54cca2b-93db-4676-8999-ca87aa083eb0","resolution":{"observed_at":"2026-08-16T10:29:47.599388Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T10:29:48.298874Z","title":null,"venue":null,"work_id":"5a6593e6-8a31-4793-b3dd-f31f54ec6f19","year":2020},"citing_paper":{"arxiv_id":"2504.18158","last_updated":"2025-04-25T08:12:58Z","snapshot_observed_at":"2026-08-16T14:36:49.499895Z","submitted_at":"2025-04-25T08:12:58Z","title":"E-InMeMo: Enhanced Prompting for Visual In-Context Learning","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-16T10:29:47.603553Z"},"links":{"citing_paper":"/paper/2504.18158"},"observation_digest":"sha256:06250e351bf1d1c32d1e4fab752fb026b1df778091ef621fb52a1133c5fc1ce0","observation_id":"b4cd657e-1e0a-43ac-b0e2-1eba081bb824","resolution":{"observed_at":"2026-08-16T10:29:48.303619Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1605.01397","last_updated":"2016-05-04T19:49:17Z","snapshot_observed_at":"2026-08-15T23:25:55.061592Z","submitted_at":"2016-05-04T19:49:17Z","title":"Skin Lesion Analysis toward Melanoma Detection: A Challenge at the International Symposium on Biomedical Imaging (ISBI) 2016, hosted by the International Skin Imaging Collaboration (ISIC)","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1605.01397","snapshot_observed_at":"2026-08-16T10:29:47.607830Z","title":"Gutman, N","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2504.18158","last_updated":"2025-04-25T08:12:58Z","snapshot_observed_at":"2026-08-16T14:36:49.499895Z","submitted_at":"2025-04-25T08:12:58Z","title":"E-InMeMo: Enhanced Prompting for Visual In-Context Learning","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-16T10:29:47.607830Z"},"links":{"cited_paper":"/paper/1605.01397","citing_paper":"/paper/2504.18158"},"observation_digest":"sha256:ee8dc8bda1e037ce9c52ebaee186dbf8b3e0c7286be409a17df3c5a6655e28cf","observation_id":"03e6f8af-7c2f-4ab0-b42e-d4f284038951","resolution":{"observed_at":"2026-08-16T10:29:47.607830Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T10:29:48.283980Z","title":null,"venue":null,"work_id":"19537e1d-fcc7-43e7-99ce-1599c62754d4","year":2025},"citing_paper":{"arxiv_id":"2504.18158","last_updated":"2025-04-25T08:12:58Z","snapshot_observed_at":"2026-08-16T14:36:49.499895Z","submitted_at":"2025-04-25T08:12:58Z","title":"E-InMeMo: Enhanced Prompting for Visual In-Context Learning","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-16T10:29:47.612518Z"},"links":{"citing_paper":"/paper/2504.18158"},"observation_digest":"sha256:0b3dc0b114fd3780c56648cdb6860fd213584810f0b385ededad147924cef4dd","observation_id":"0e1b2a45-e413-4bf5-9301-fe22833e3730","resolution":{"observed_at":"2026-08-16T10:29:48.288396Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T10:29:48.269900Z","title":null,"venue":null,"work_id":"71f7c216-cf9a-46f0-b3d2-327fa1ae108d","year":2024},"citing_paper":{"arxiv_id":"2504.18158","last_updated":"2025-04-25T08:12:58Z","snapshot_observed_at":"2026-08-16T14:36:49.499895Z","submitted_at":"2025-04-25T08:12:58Z","title":"E-InMeMo: Enhanced Prompting for Visual In-Context Learning","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-16T10:29:47.616749Z"},"links":{"citing_paper":"/paper/2504.18158"},"observation_digest":"sha256:a2ffc6e85082cfa9abc0721f3312d781d48d89b13418c19638a1e998a3db4203","observation_id":"908fd580-ece2-432f-8e83-24466e4e52a8","resolution":{"observed_at":"2026-08-16T10:29:48.274413Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T10:29:48.255695Z","title":"Rakelly, E","venue":null,"work_id":"20f1ae46-9054-4734-8c34-c00b12129caf","year":2018},"citing_paper":{"arxiv_id":"2504.18158","last_updated":"2025-04-25T08:12:58Z","snapshot_observed_at":"2026-08-16T14:36:49.499895Z","submitted_at":"2025-04-25T08:12:58Z","title":"E-InMeMo: Enhanced Prompting for Visual In-Context Learning","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-16T10:29:47.621020Z"},"links":{"citing_paper":"/paper/2504.18158"},"observation_digest":"sha256:b97b7a8eef3800e691f714a7b43e6b34bd500e5862e0de500c9870bc12e8b548","observation_id":"5643001d-fb12-4acb-b867-a974a9072dc6","resolution":{"observed_at":"2026-08-16T10:29:48.260027Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1412.6980","last_updated":"2017-01-30T01:27:54Z","snapshot_observed_at":"2026-08-14T18:51:16.666127Z","submitted_at":"2014-12-22T13:54:29Z","title":"Adam: A Method for Stochastic Optimization","version":9},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1412.6980","snapshot_observed_at":"2026-08-16T10:29:47.625911Z","title":null,"venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2504.18158","last_updated":"2025-04-25T08:12:58Z","snapshot_observed_at":"2026-08-16T14:36:49.499895Z","submitted_at":"2025-04-25T08:12:58Z","title":"E-InMeMo: Enhanced Prompting for Visual In-Context Learning","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-16T10:29:47.625911Z"},"links":{"cited_paper":"/paper/1412.6980","citing_paper":"/paper/2504.18158"},"observation_digest":"sha256:496c7850f3fc8a5518678f8d55247718d7e57d14befc4b6989ffb3596224255e","observation_id":"8fae2b9b-62c0-49f8-8dc9-803519d59f05","resolution":{"observed_at":"2026-08-16T10:29:47.625911Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T10:29:48.241031Z","title":null,"venue":null,"work_id":"6414fd5d-5463-42e5-8fbb-5f42e4e5e6d8","year":2022},"citing_paper":{"arxiv_id":"2504.18158","last_updated":"2025-04-25T08:12:58Z","snapshot_observed_at":"2026-08-16T14:36:49.499895Z","submitted_at":"2025-04-25T08:12:58Z","title":"E-InMeMo: Enhanced Prompting for Visual In-Context Learning","version":1},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-16T10:29:47.630410Z"},"links":{"citing_paper":"/paper/2504.18158"},"observation_digest":"sha256:d5397069665aadba6dae63d6f13b3942b44d73eb36bfd792d1173dffac8ab2ae","observation_id":"0248d647-4fca-4af7-afdd-57e958357459","resolution":{"observed_at":"2026-08-16T10:29:48.246010Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T10:29:48.226484Z","title":null,"venue":null,"work_id":"bde9d704-1b7d-45dd-aaaa-0e3ba1ae341e","year":2014},"citing_paper":{"arxiv_id":"2504.18158","last_updated":"2025-04-25T08:12:58Z","snapshot_observed_at":"2026-08-16T14:36:49.499895Z","submitted_at":"2025-04-25T08:12:58Z","title":"E-InMeMo: Enhanced Prompting for Visual In-Context Learning","version":1},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-16T10:29:47.634759Z"},"links":{"citing_paper":"/paper/2504.18158"},"observation_digest":"sha256:39e8987ceb0187b52bd19a192ef22968b8c4e38b3d6b6279e4a8be0d6474ab5b","observation_id":"0c996692-7368-4bf8-b309-ad50cdd4ac82","resolution":{"observed_at":"2026-08-16T10:29:48.230927Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2504.18158","last_updated":"2025-04-25T08:12:58Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-16T14:36:49.499895Z","submitted_at":"2025-04-25T08:12:58Z","title":"E-InMeMo: Enhanced Prompting for Visual In-Context Learning"},"reference_resolution":{"displayed":68,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":60,"verified_exact":1,"verified_fuzzy":7},"total_outbound_references":68},"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":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"thesis":"As of 17 August 2026, this Paper Citation Record lists 68 of 68 outbound references and 0 inbound Pith citation observations for arXiv:2504.18158."}