{"as_of":"2026-08-12T06:16:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:c8ed3076a0d9aca544a25e7408a48bd957118ebfeff2cb86b905bb860d253dbb","coverage":[{"denominator":22,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":22,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T20:10:05.460364Z","state":"measured"},{"denominator":22,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":22,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-11T06:34:44.6726+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/2501.09294/citation-record","integrity":"/paper/2501.09294/integrity","json":"/paper/2501.09294/citation-record.json","paper":"/paper/2501.09294"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:10:06.146806Z","title":"Learning transferable visual models from na tural language supervision,","venue":null,"work_id":"266c30a0-dc2b-4d54-a342-e2211f2fb6b2","year":2021},"citing_paper":{"arxiv_id":"2501.09294","last_updated":"2025-01-16T05:01:30Z","snapshot_observed_at":"2026-08-11T22:09:10.352480Z","submitted_at":"2025-01-16T05:01:30Z","title":"Efficient Few-Shot Medical Image Analysis via Hierarchical Contrastive Vision-Language Learning","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-10T20:10:05.345165Z"},"links":{"citing_paper":"/paper/2501.09294"},"observation_digest":"sha256:de57c328f3bc9e8e15ccad2f0651f0dd08f3930bcbb34e05d50941967785dff7","observation_id":"c6d83d91-00e7-49e1-99d8-5e6e48ab1c79","resolution":{"observed_at":"2026-08-10T20:10:06.153672Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-10T20:10:06.129153Z","title":"Scaling up visual and vision-language representation learning with noisy text s upervision,","venue":null,"work_id":"ceb81ad1-3c9a-4ea8-9b57-d49c207071ce","year":2021},"citing_paper":{"arxiv_id":"2501.09294","last_updated":"2025-01-16T05:01:30Z","snapshot_observed_at":"2026-08-11T22:09:10.352480Z","submitted_at":"2025-01-16T05:01:30Z","title":"Efficient Few-Shot Medical Image Analysis via Hierarchical Contrastive Vision-Language Learning","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-10T20:10:05.351794Z"},"links":{"citing_paper":"/paper/2501.09294"},"observation_digest":"sha256:2e5ae8fde052d960f777684371238ee879b36fde0e71f73f2735b9f5a1f66299","observation_id":"15205aa8-32fd-4e27-aecd-6b52db7e929a","resolution":{"observed_at":"2026-08-10T20:10:06.135252Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-10T20:10:06.109752Z","title":"Sketch storytelling,","venue":null,"work_id":"c1f0d718-73c3-4081-9bd9-fc3a388cf998","year":2022},"citing_paper":{"arxiv_id":"2501.09294","last_updated":"2025-01-16T05:01:30Z","snapshot_observed_at":"2026-08-11T22:09:10.352480Z","submitted_at":"2025-01-16T05:01:30Z","title":"Efficient Few-Shot Medical Image Analysis via Hierarchical Contrastive Vision-Language Learning","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-10T20:10:05.357059Z"},"links":{"citing_paper":"/paper/2501.09294"},"observation_digest":"sha256:2b4f8414d7c94ff13d76d7f7dac4748a983b8b424a6860abeea26e08396ca4c3","observation_id":"f1547fbf-d5e4-45df-a1ed-3382024beb50","resolution":{"observed_at":"2026-08-10T20:10:06.115182Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-10T20:10:06.092002Z","title":"Style-aware contrastive learning f or multi-style image captioning,","venue":null,"work_id":"860d3b12-4b38-4739-92ee-6b6a3c127660","year":2023},"citing_paper":{"arxiv_id":"2501.09294","last_updated":"2025-01-16T05:01:30Z","snapshot_observed_at":"2026-08-11T22:09:10.352480Z","submitted_at":"2025-01-16T05:01:30Z","title":"Efficient Few-Shot Medical Image Analysis via Hierarchical Contrastive Vision-Language Learning","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-10T20:10:05.362212Z"},"links":{"citing_paper":"/paper/2501.09294"},"observation_digest":"sha256:a7185c50a3a51ee0d89e97b0adcd63d828cee79a734f551afa0d0df8f8529922","observation_id":"5ee67d43-6f1f-4281-ab1c-0b3760b183d1","resolution":{"observed_at":"2026-08-10T20:10:06.097385Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2308.04005","last_updated":"2023-08-08T02:48:46Z","snapshot_observed_at":"2026-08-11T22:08:50.774801Z","submitted_at":"2023-08-08T02:48:46Z","title":"Few-shot medical image classification with simple shape and texture text descriptors using vision-language models","version":1},"cited_work":{"arxiv_id":"2308.04005","doi":"10.48550/arxiv.2308.04005","metadata_source":"pith","pith_arxiv_id":"2308.04005","snapshot_observed_at":"2026-08-11T00:16:15.729268Z","title":"Few-shot medical image classification with simple shape and texture text descriptors using vision-language models","venue":"cs.CV","work_id":"42eb19b0-64c7-41ff-b224-e83e98f50afb","year":2023},"citing_paper":{"arxiv_id":"2501.09294","last_updated":"2025-01-16T05:01:30Z","snapshot_observed_at":"2026-08-11T22:09:10.352480Z","submitted_at":"2025-01-16T05:01:30Z","title":"Efficient Few-Shot Medical Image Analysis via Hierarchical Contrastive Vision-Language Learning","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-10T20:10:05.367597Z"},"links":{"cited_paper":"/paper/2308.04005","citing_paper":"/paper/2501.09294"},"observation_digest":"sha256:f22e1f18567af2c238db0a8805df6bb39d3646b53c320ec6c232d2acbe69fa95","observation_id":"3181bd55-e892-498d-98c1-70301f81c30c","resolution":{"observed_at":"2026-08-10T20:10:05.837389Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-10T20:10:05.373869Z","title":"Diffmic: Dual-guidance diffusion network for medical image classiﬁ cation,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.09294","last_updated":"2025-01-16T05:01:30Z","snapshot_observed_at":"2026-08-11T22:09:10.352480Z","submitted_at":"2025-01-16T05:01:30Z","title":"Efficient Few-Shot Medical Image Analysis via Hierarchical Contrastive Vision-Language Learning","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-10T20:10:05.373869Z"},"links":{"citing_paper":"/paper/2501.09294"},"observation_digest":"sha256:96e914954a4116cfa09ad7fe64d5f8bebf9b1aac35449b17d5e36e5736d2d87f","observation_id":"c3963ab7-1763-429d-b6d0-36808e20e035","resolution":{"observed_at":"2026-08-10T20:10:05.373869Z","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":"2026-08-10T20:10:05.379218Z","title":"Fedmlp: F ederated multi-label medical image classiﬁcation under task hetero geneity,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.09294","last_updated":"2025-01-16T05:01:30Z","snapshot_observed_at":"2026-08-11T22:09:10.352480Z","submitted_at":"2025-01-16T05:01:30Z","title":"Efficient Few-Shot Medical Image Analysis via Hierarchical Contrastive Vision-Language Learning","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-10T20:10:05.379218Z"},"links":{"citing_paper":"/paper/2501.09294"},"observation_digest":"sha256:12b64d49601b148593982f0f0cb02cb01e31ea60bd6cf4751ff8d8c19f728925","observation_id":"2c22984b-bbcc-4a49-a2cc-c41759a57b76","resolution":{"observed_at":"2026-08-10T20:10:05.379218Z","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":"10.1007/978-3-65","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:10:05.780651Z","title":"Abstract: Interpretable medical image classiﬁcation using prototype learning and privileged inf ormation,","venue":null,"work_id":"6b84d243-44c5-4c54-a20f-a6adb5beca09","year":2024},"citing_paper":{"arxiv_id":"2501.09294","last_updated":"2025-01-16T05:01:30Z","snapshot_observed_at":"2026-08-11T22:09:10.352480Z","submitted_at":"2025-01-16T05:01:30Z","title":"Efficient Few-Shot Medical Image Analysis via Hierarchical Contrastive Vision-Language Learning","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-10T20:10:05.384201Z"},"links":{"citing_paper":"/paper/2501.09294"},"observation_digest":"sha256:6dbca91f220f7af4920e883aac1229c4ed6461b70d402d2287779665ede0d009","observation_id":"3d3a70ed-94a9-4ffe-ac3a-87d43f24b011","resolution":{"observed_at":"2026-08-10T20:10:05.786146Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.03182","last_updated":"2023-10-04T21:57:09Z","snapshot_observed_at":"2026-08-11T22:08:44.682428Z","submitted_at":"2023-10-04T21:57:09Z","title":"Robust and Interpretable Medical Image Classifiers via Concept Bottleneck Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.03182","snapshot_observed_at":"2026-08-10T20:10:05.388965Z","title":"Robu st and interpretable medical image classiﬁers via concept bot tleneck models,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2501.09294","last_updated":"2025-01-16T05:01:30Z","snapshot_observed_at":"2026-08-11T22:09:10.352480Z","submitted_at":"2025-01-16T05:01:30Z","title":"Efficient Few-Shot Medical Image Analysis via Hierarchical Contrastive Vision-Language Learning","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-10T20:10:05.388965Z"},"links":{"cited_paper":"/paper/2310.03182","citing_paper":"/paper/2501.09294"},"observation_digest":"sha256:69c1467a384fbe2db086fa87d5a0b0fa0d6e82fd53c6bb461d15b171595432ff","observation_id":"bfdba750-2c15-434a-a194-d9a6f333b50f","resolution":{"observed_at":"2026-08-10T20:10:05.388965Z","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":"10.48550/arxiv.2410.17494","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:10:05.737768Z","title":"Enhancing multimodal medical image classiﬁcation using cross-graph modal contr astive learning,","venue":null,"work_id":"630e98dc-df7b-4265-a707-b37dcc7922f3","year":2024},"citing_paper":{"arxiv_id":"2501.09294","last_updated":"2025-01-16T05:01:30Z","snapshot_observed_at":"2026-08-11T22:09:10.352480Z","submitted_at":"2025-01-16T05:01:30Z","title":"Efficient Few-Shot Medical Image Analysis via Hierarchical Contrastive Vision-Language Learning","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-10T20:10:05.395200Z"},"links":{"citing_paper":"/paper/2501.09294"},"observation_digest":"sha256:62dda4bba5918872e6d3050339bb0134fb8e0d31c153a0d8489c9f8f364288fa","observation_id":"50c8749c-b32a-4ed5-9deb-45a2b3ebb15b","resolution":{"observed_at":"2026-08-10T20:10:05.745450Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-10T20:10:05.400579Z","title":"Visual in-context l earning for large vision-language models,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.09294","last_updated":"2025-01-16T05:01:30Z","snapshot_observed_at":"2026-08-11T22:09:10.352480Z","submitted_at":"2025-01-16T05:01:30Z","title":"Efficient Few-Shot Medical Image Analysis via Hierarchical Contrastive Vision-Language Learning","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-10T20:10:05.400579Z"},"links":{"citing_paper":"/paper/2501.09294"},"observation_digest":"sha256:4d6e70609457ab5c0cec5d2345324d94383bc4a9e8462ffda4d914e0e7d6d2bb","observation_id":"d02f86e6-55d2-48e1-885a-f7de0dd77f31","resolution":{"observed_at":"2026-08-10T20:10:05.400579Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.03849","last_updated":"2024-09-29T03:55:46Z","snapshot_observed_at":"2026-08-04T18:38:48.993581Z","submitted_at":"2024-03-06T16:49:33Z","title":"MedMamba: Vision Mamba for Medical Image Classification","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.03849","snapshot_observed_at":"2026-08-10T20:10:05.405627Z","title":"Medmamba: Vision mamba for medical ima ge classiﬁcation,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.09294","last_updated":"2025-01-16T05:01:30Z","snapshot_observed_at":"2026-08-11T22:09:10.352480Z","submitted_at":"2025-01-16T05:01:30Z","title":"Efficient Few-Shot Medical Image Analysis via Hierarchical Contrastive Vision-Language Learning","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-10T20:10:05.405627Z"},"links":{"cited_paper":"/paper/2403.03849","citing_paper":"/paper/2501.09294"},"observation_digest":"sha256:d6561f738304264ad96e02efe9161fbf9f07bc088c482ecd9f27a131c33168e8","observation_id":"f841eb3d-f5c0-492a-99a6-6ca87d5fb487","resolution":{"observed_at":"2026-08-10T20:10:05.405627Z","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":"2026-08-10T20:10:05.410853Z","title":"Improv ing zero-shot cross-lingual transfer for multilingual questi on answering over knowledge graph,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2501.09294","last_updated":"2025-01-16T05:01:30Z","snapshot_observed_at":"2026-08-11T22:09:10.352480Z","submitted_at":"2025-01-16T05:01:30Z","title":"Efficient Few-Shot Medical Image Analysis via Hierarchical Contrastive Vision-Language Learning","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-10T20:10:05.410853Z"},"links":{"citing_paper":"/paper/2501.09294"},"observation_digest":"sha256:5fe344dffdebbd901f26ea6278bea0c7313e7d762346d8a65040fe9e4aea0667","observation_id":"9e38bf16-0199-4c2d-993c-0ddf204fb6a5","resolution":{"observed_at":"2026-08-10T20:10:05.410853Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.19684","last_updated":"2024-09-29T12:23:10Z","snapshot_observed_at":"2026-08-09T22:46:49.656578Z","submitted_at":"2024-09-29T12:23:10Z","title":"MedViLaM: A multimodal large language model with advanced generalizability and explainability for medical data understanding and generation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.19684","snapshot_observed_at":"2026-08-10T20:10:05.415563Z","title":"Medvilam: A multimodal large language model with advanced generalizability and explainability for medical data unde rstanding and generation,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.09294","last_updated":"2025-01-16T05:01:30Z","snapshot_observed_at":"2026-08-11T22:09:10.352480Z","submitted_at":"2025-01-16T05:01:30Z","title":"Efficient Few-Shot Medical Image Analysis via Hierarchical Contrastive Vision-Language Learning","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-10T20:10:05.415563Z"},"links":{"cited_paper":"/paper/2409.19684","citing_paper":"/paper/2501.09294"},"observation_digest":"sha256:a74addc8948676b3152df90f56a948aba6fd2cc2ae84ba44c882241c1808c8f7","observation_id":"e2cbb630-3bb8-4782-989a-d29b2f0b95b2","resolution":{"observed_at":"2026-08-10T20:10:05.415563Z","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":"2026-08-10T20:10:05.421043Z","title":"Less is more: Vision representation compression for efﬁcient video gene ration with large language models,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.09294","last_updated":"2025-01-16T05:01:30Z","snapshot_observed_at":"2026-08-11T22:09:10.352480Z","submitted_at":"2025-01-16T05:01:30Z","title":"Efficient Few-Shot Medical Image Analysis via Hierarchical Contrastive Vision-Language Learning","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-10T20:10:05.421043Z"},"links":{"citing_paper":"/paper/2501.09294"},"observation_digest":"sha256:360f03908526011d8f5879aa8a5c6ce551b2901b28c590ed6cc0112f4614b39e","observation_id":"acd87a09-22da-4361-b36c-423531a90ca4","resolution":{"observed_at":"2026-08-10T20:10:05.421043Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.08734","last_updated":"2023-11-15T06:54:44Z","snapshot_observed_at":"2026-08-06T23:57:01.440666Z","submitted_at":"2023-11-15T06:54:44Z","title":"Thread of Thought Unraveling Chaotic Contexts","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.08734","snapshot_observed_at":"2026-08-10T20:10:05.426060Z","title":"Thread of thought unraveling chaotic contexts,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.09294","last_updated":"2025-01-16T05:01:30Z","snapshot_observed_at":"2026-08-11T22:09:10.352480Z","submitted_at":"2025-01-16T05:01:30Z","title":"Efficient Few-Shot Medical Image Analysis via Hierarchical Contrastive Vision-Language Learning","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-10T20:10:05.426060Z"},"links":{"cited_paper":"/paper/2311.08734","citing_paper":"/paper/2501.09294"},"observation_digest":"sha256:693e26cde9a1f7b2961d3512cbe11fa83400b5ced04be7a4248154a927f875d1","observation_id":"9415785d-b7e1-4f13-be04-9c43d8bd52f8","resolution":{"observed_at":"2026-08-10T20:10:05.426060Z","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":"2026-08-10T20:10:06.016565Z","title":"Medica l adaptation of large language and vision-language models: Are we making pr ogress?","venue":null,"work_id":"40608760-8002-4796-b435-17b9bd9679ae","year":2024},"citing_paper":{"arxiv_id":"2501.09294","last_updated":"2025-01-16T05:01:30Z","snapshot_observed_at":"2026-08-11T22:09:10.352480Z","submitted_at":"2025-01-16T05:01:30Z","title":"Efficient Few-Shot Medical Image Analysis via Hierarchical Contrastive Vision-Language Learning","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-10T20:10:05.432559Z"},"links":{"citing_paper":"/paper/2501.09294"},"observation_digest":"sha256:87bbbb646f42741657e6f5c1b69754a0732c4acbba4c5dba708daf2465442070","observation_id":"84d24be6-f3e0-4984-a5ca-6b3dc9ab2cbe","resolution":{"observed_at":"2026-08-10T20:10:06.021897Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-10T20:10:05.437604Z","title":"On large visual language models for medical imaging analysis: An empirical study,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.09294","last_updated":"2025-01-16T05:01:30Z","snapshot_observed_at":"2026-08-11T22:09:10.352480Z","submitted_at":"2025-01-16T05:01:30Z","title":"Efficient Few-Shot Medical Image Analysis via Hierarchical Contrastive Vision-Language Learning","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-10T20:10:05.437604Z"},"links":{"citing_paper":"/paper/2501.09294"},"observation_digest":"sha256:6039b157dab278235dcacde9b7844a9021f367657d4555174c23911c1f98b71a","observation_id":"b34a4d15-60ab-4ad4-836f-c032e6332f7c","resolution":{"observed_at":"2026-08-10T20:10:05.437604Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2501.01377","last_updated":"2025-06-02T09:56:36Z","snapshot_observed_at":"2026-08-12T05:43:46.926602Z","submitted_at":"2025-01-02T17:37:20Z","title":"Improving Medical Large Vision-Language Models with Abnormal-Aware Feedback","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.01377","snapshot_observed_at":"2026-08-10T20:10:05.443223Z","title":"Training medical large vi sion- language models with abnormal-aware feedback,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2501.09294","last_updated":"2025-01-16T05:01:30Z","snapshot_observed_at":"2026-08-11T22:09:10.352480Z","submitted_at":"2025-01-16T05:01:30Z","title":"Efficient Few-Shot Medical Image Analysis via Hierarchical Contrastive Vision-Language Learning","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-10T20:10:05.443223Z"},"links":{"cited_paper":"/paper/2501.01377","citing_paper":"/paper/2501.09294"},"observation_digest":"sha256:4dfa1aa8e5ce2cf81386e5d990b1cfd517fb1a8c6df83fe87a315c256d73c993","observation_id":"54d0c3a8-e988-41eb-bdfe-fbc98eca4050","resolution":{"observed_at":"2026-08-10T20:10:05.443223Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.21368","last_updated":"2025-03-17T00:27:45Z","snapshot_observed_at":"2026-08-12T02:33:52.303291Z","submitted_at":"2024-07-31T06:34:38Z","title":"Prompting Medical Large Vision-Language Models to Diagnose Pathologies by Visual Question Answering","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.21368","snapshot_observed_at":"2026-08-10T20:10:05.448485Z","title":"Prompting medical large vis ion- language models to diagnose pathologies by visual question answering,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.09294","last_updated":"2025-01-16T05:01:30Z","snapshot_observed_at":"2026-08-11T22:09:10.352480Z","submitted_at":"2025-01-16T05:01:30Z","title":"Efficient Few-Shot Medical Image Analysis via Hierarchical Contrastive Vision-Language Learning","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-10T20:10:05.448485Z"},"links":{"cited_paper":"/paper/2407.21368","citing_paper":"/paper/2501.09294"},"observation_digest":"sha256:4eaad1308b2dedfc7e30299a5d1b315dc612ed26482e01ad730b4abb550d11e2","observation_id":"8f160d6c-5b2e-4d3b-bf44-fe4e20d00012","resolution":{"observed_at":"2026-08-10T20:10:05.448485Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.14522","last_updated":"2025-03-27T15:24:29Z","snapshot_observed_at":"2026-08-11T21:52:16.151043Z","submitted_at":"2024-11-21T18:59:36Z","title":"GMAI-VL & GMAI-VL-5.5M: A Large Vision-Language Model and A Comprehensive Multimodal Dataset Towards General Medical AI","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.14522","snapshot_observed_at":"2026-08-10T20:10:05.454351Z","title":"GMAI-VL & GMAI-VL-5.5M: A large vision-language model and A comprehensive multimodal dataset towards gener al medical AI,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.09294","last_updated":"2025-01-16T05:01:30Z","snapshot_observed_at":"2026-08-11T22:09:10.352480Z","submitted_at":"2025-01-16T05:01:30Z","title":"Efficient Few-Shot Medical Image Analysis via Hierarchical Contrastive Vision-Language Learning","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-10T20:10:05.454351Z"},"links":{"cited_paper":"/paper/2411.14522","citing_paper":"/paper/2501.09294"},"observation_digest":"sha256:fb9dc3fbf715a7820358e532d36108f882dc778a2dabb5a6c2c57e481da10d65","observation_id":"f0942baf-09d8-4fac-9bdc-b7bcfcf6d01c","resolution":{"observed_at":"2026-08-10T20:10:05.454351Z","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":"2026-08-10T20:10:06.000099Z","title":"Improving cross-modal alignment f or text- guided image inpainting,","venue":null,"work_id":"16ed80b0-ef25-4110-95da-b9c55ed41ab2","year":2023},"citing_paper":{"arxiv_id":"2501.09294","last_updated":"2025-01-16T05:01:30Z","snapshot_observed_at":"2026-08-11T22:09:10.352480Z","submitted_at":"2025-01-16T05:01:30Z","title":"Efficient Few-Shot Medical Image Analysis via Hierarchical Contrastive Vision-Language Learning","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-10T20:10:05.460364Z"},"links":{"citing_paper":"/paper/2501.09294"},"observation_digest":"sha256:41619344b430570e51cd1018c3b3572f419df3e62443fdfcab8631423547611b","observation_id":"ab09fa84-3a94-458e-8ef4-26a91349360e","resolution":{"observed_at":"2026-08-10T20:10:06.005201Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2501.09294","last_updated":"2025-01-16T05:01:30Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-11T22:09:10.352480Z","submitted_at":"2025-01-16T05:01:30Z","title":"Efficient Few-Shot Medical Image Analysis via Hierarchical Contrastive Vision-Language Learning"},"reference_resolution":{"displayed":22,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":13,"verified_exact":3,"verified_fuzzy":6},"total_outbound_references":22},"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":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"thesis":"As of 12 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2501.09294."}