Paper Citation Record · LEDGER

Efficient Few-Shot Medical Image Analysis via Hierarchical Contrastive Vision-Language Learning

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.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2501.09294 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:10:05.460364Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

22 of 22 outbound references displayed

verified exact3
verified fuzzy6
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External citation measurements

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Outbound references

Observation c6d83d91-00e7-49e1-99d8-5e6e48ab1c79 · outbound

This paper cites Learning transferable visual models from na tural language supervision,.

Efficient Few-Shot Medical Image Analysis via Hierarchical Contrastive Vision-Language Learning Learning transferable visual models from na tural language supervision,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:10:06.153672Z

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Observation 15205aa8-32fd-4e27-aecd-6b52db7e929a · outbound

This paper cites Scaling up visual and vision-language representation learning with noisy text s upervision,.

Efficient Few-Shot Medical Image Analysis via Hierarchical Contrastive Vision-Language Learning Scaling up visual and vision-language representation learning with noisy text s upervision,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:10:06.135252Z

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Observation f1547fbf-d5e4-45df-a1ed-3382024beb50 · outbound

This paper cites Sketch storytelling,.

Efficient Few-Shot Medical Image Analysis via Hierarchical Contrastive Vision-Language Learning Sketch storytelling,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:10:06.115182Z

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Observation 5ee67d43-6f1f-4281-ab1c-0b3760b183d1 · outbound

This paper cites Style-aware contrastive learning f or multi-style image captioning,.

Efficient Few-Shot Medical Image Analysis via Hierarchical Contrastive Vision-Language Learning Style-aware contrastive learning f or multi-style image captioning,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:10:06.097385Z

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Observation 3181bd55-e892-498d-98c1-70301f81c30c · outbound

This paper cites Few-shot medical image classification with simple shape and texture text descriptors using vision-language models.

Efficient Few-Shot Medical Image Analysis via Hierarchical Contrastive Vision-Language Learning Few-shot medical image classification with simple shape and texture text descriptors using vision-language models

Reference 5

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Observation c3963ab7-1763-429d-b6d0-36808e20e035 · outbound

This paper cites Diffmic: Dual-guidance diffusion network for medical image classiﬁ cation,.

Efficient Few-Shot Medical Image Analysis via Hierarchical Contrastive Vision-Language Learning Diffmic: Dual-guidance diffusion network for medical image classiﬁ cation,

Reference 6

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Observation 2c22984b-bbcc-4a49-a2cc-c41759a57b76 · outbound

This paper cites Fedmlp: F ederated multi-label medical image classiﬁcation under task hetero geneity,.

Efficient Few-Shot Medical Image Analysis via Hierarchical Contrastive Vision-Language Learning Fedmlp: F ederated multi-label medical image classiﬁcation under task hetero geneity,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-10T20:10:05.379218Z

Source-reported events for the cited work

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Observation 3d3a70ed-94a9-4ffe-ac3a-87d43f24b011 · outbound

This paper cites Abstract: Interpretable medical image classiﬁcation using prototype learning and privileged inf ormation,.

Efficient Few-Shot Medical Image Analysis via Hierarchical Contrastive Vision-Language Learning Abstract: Interpretable medical image classiﬁcation using prototype learning and privileged inf ormation,

Reference 8

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Observation bfdba750-2c15-434a-a194-d9a6f333b50f · outbound

This paper cites Robust and Interpretable Medical Image Classifiers via Concept Bottleneck Models.

Efficient Few-Shot Medical Image Analysis via Hierarchical Contrastive Vision-Language Learning Robust and Interpretable Medical Image Classifiers via Concept Bottleneck Models

Reference 9

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Source-reported events for the cited work

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Observation 50c8749c-b32a-4ed5-9deb-45a2b3ebb15b · outbound

This paper cites Enhancing multimodal medical image classiﬁcation using cross-graph modal contr astive learning,.

Efficient Few-Shot Medical Image Analysis via Hierarchical Contrastive Vision-Language Learning Enhancing multimodal medical image classiﬁcation using cross-graph modal contr astive learning,

Reference 10

Resolution: verified exact; doi, observed 2026-08-10T20:10:05.745450Z

Source-reported events for the cited work

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Observation d02f86e6-55d2-48e1-885a-f7de0dd77f31 · outbound

This paper cites Visual in-context l earning for large vision-language models,.

Efficient Few-Shot Medical Image Analysis via Hierarchical Contrastive Vision-Language Learning Visual in-context l earning for large vision-language models,

Reference 11

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Observation f841eb3d-f5c0-492a-99a6-6ca87d5fb487 · outbound

This paper cites MedMamba: Vision Mamba for Medical Image Classification.

Efficient Few-Shot Medical Image Analysis via Hierarchical Contrastive Vision-Language Learning MedMamba: Vision Mamba for Medical Image Classification

Reference 12

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Observation 9e38bf16-0199-4c2d-993c-0ddf204fb6a5 · outbound

This paper cites Improv ing zero-shot cross-lingual transfer for multilingual questi on answering over knowledge graph,.

Efficient Few-Shot Medical Image Analysis via Hierarchical Contrastive Vision-Language Learning Improv ing zero-shot cross-lingual transfer for multilingual questi on answering over knowledge graph,

Reference 13

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Observation e2cbb630-3bb8-4782-989a-d29b2f0b95b2 · outbound

This paper cites MedViLaM: A multimodal large language model with advanced generalizability and explainability for medical data understanding and generation.

Efficient Few-Shot Medical Image Analysis via Hierarchical Contrastive Vision-Language Learning MedViLaM: A multimodal large language model with advanced generalizability and explainability for medical data understanding and generation

Reference 14

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Observation acd87a09-22da-4361-b36c-423531a90ca4 · outbound

This paper cites Less is more: Vision representation compression for efﬁcient video gene ration with large language models,.

Efficient Few-Shot Medical Image Analysis via Hierarchical Contrastive Vision-Language Learning Less is more: Vision representation compression for efﬁcient video gene ration with large language models,

Reference 15

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Observation 9415785d-b7e1-4f13-be04-9c43d8bd52f8 · outbound

This paper cites Thread of Thought Unraveling Chaotic Contexts.

Efficient Few-Shot Medical Image Analysis via Hierarchical Contrastive Vision-Language Learning Thread of Thought Unraveling Chaotic Contexts

Reference 16

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Observation 84d24be6-f3e0-4984-a5ca-6b3dc9ab2cbe · outbound

This paper cites Medica l adaptation of large language and vision-language models: Are we making pr ogress?.

Efficient Few-Shot Medical Image Analysis via Hierarchical Contrastive Vision-Language Learning Medica l adaptation of large language and vision-language models: Are we making pr ogress?

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:10:06.021897Z

Source-reported events for the cited work

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Observation b34a4d15-60ab-4ad4-836f-c032e6332f7c · outbound

This paper cites On large visual language models for medical imaging analysis: An empirical study,.

Efficient Few-Shot Medical Image Analysis via Hierarchical Contrastive Vision-Language Learning On large visual language models for medical imaging analysis: An empirical study,

Reference 18

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Observation 54d0c3a8-e988-41eb-bdfe-fbc98eca4050 · outbound

This paper cites Improving Medical Large Vision-Language Models with Abnormal-Aware Feedback.

Efficient Few-Shot Medical Image Analysis via Hierarchical Contrastive Vision-Language Learning Improving Medical Large Vision-Language Models with Abnormal-Aware Feedback

Reference 19

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Observation 8f160d6c-5b2e-4d3b-bf44-fe4e20d00012 · outbound

This paper cites Prompting Medical Large Vision-Language Models to Diagnose Pathologies by Visual Question Answering.

Efficient Few-Shot Medical Image Analysis via Hierarchical Contrastive Vision-Language Learning Prompting Medical Large Vision-Language Models to Diagnose Pathologies by Visual Question Answering

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-10T20:10:05.448485Z

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Observation f0942baf-09d8-4fac-9bdc-b7bcfcf6d01c · outbound

This paper cites GMAI-VL & GMAI-VL-5.5M: A Large Vision-Language Model and A Comprehensive Multimodal Dataset Towards General Medical AI.

Efficient Few-Shot Medical Image Analysis via Hierarchical Contrastive Vision-Language Learning GMAI-VL & GMAI-VL-5.5M: A Large Vision-Language Model and A Comprehensive Multimodal Dataset Towards General Medical AI

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-10T20:10:05.454351Z

Source-reported events for the cited work

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Observation ab09fa84-3a94-458e-8ef4-26a91349360e · outbound

This paper cites Improving cross-modal alignment f or text- guided image inpainting,.

Efficient Few-Shot Medical Image Analysis via Hierarchical Contrastive Vision-Language Learning Improving cross-modal alignment f or text- guided image inpainting,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:10:06.005201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Pith citing papers

No inbound Pith citation observations are available.