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Paper Citation Record · LEDGER

Composed Vision-Language Retrieval for Skin Cancer Case Search via Joint Alignment of Global and Local Representations

As of 8 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2603.09108.

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

pith.paper-citation-record.v1
2603.09108 v2

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-15T13:53:29.295166Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

30 of 30 outbound references displayed

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  • verified fuzzy28
  • unresolved0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 889e5264-a71b-4217-96f2-e4c0cf8e5660 · outbound

This paper cites Dermoscopy image analysis: overview and future directions.

Composed Vision-Language Retrieval for Skin Cancer Case Search via Joint Alignment of Global and Local Representations Dermoscopy image analysis: overview and future directions

Reference 1

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Source-reported events for the cited work

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Observation 2c5bf23c-35dc-42b3-a5d9-4ff2de652ff3 · outbound

This paper cites Multimodal image dataset for ai- based skin cancer (midas) benchmarking.

Composed Vision-Language Retrieval for Skin Cancer Case Search via Joint Alignment of Global and Local Representations Multimodal image dataset for ai- based skin cancer (midas) benchmarking

Reference 2

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Source-reported events for the cited work

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Observation 00e9fd96-1010-4c07-8fab-e2e2df1d77f8 · outbound

This paper cites Dermatologist-level classification of skin cancer with deep neural networks.

Composed Vision-Language Retrieval for Skin Cancer Case Search via Joint Alignment of Global and Local Representations Dermatologist-level classification of skin cancer with deep neural networks

Reference 3

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Observation 3d5ecb19-2aea-4bb5-b1cc-d487d949421d · outbound

This paper cites A reinforcement learning model for ai-based decision support in skin cancer.

Composed Vision-Language Retrieval for Skin Cancer Case Search via Joint Alignment of Global and Local Representations A reinforcement learning model for ai-based decision support in skin cancer

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation ecc40536-271e-4cd7-95fd-6880d1ebba6c · outbound

This paper cites A multimodal vision foundation model for clinical dermatology.

Composed Vision-Language Retrieval for Skin Cancer Case Search via Joint Alignment of Global and Local Representations A multimodal vision foundation model for clinical dermatology

Reference 5

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Source-reported events for the cited work

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Observation 802072b2-dc8b-4e5f-9e29-e942cf2d75ea · outbound

This paper cites Neural memory self-supervised state space models with learnable gates.

Composed Vision-Language Retrieval for Skin Cancer Case Search via Joint Alignment of Global and Local Representations Neural memory self-supervised state space models with learnable gates

Reference 6

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Source-reported events for the cited work

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Observation 4a4ad199-c49c-412f-a634-6a72ab71e67f · outbound

This paper cites Automated triage of cancer-suspicious skin lesions with 3d total-body photography.

Composed Vision-Language Retrieval for Skin Cancer Case Search via Joint Alignment of Global and Local Representations Automated triage of cancer-suspicious skin lesions with 3d total-body photography

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 8217eb40-e6c9-43b2-acd9-67031e49fddc · outbound

This paper cites Diagnostic accuracy of content-based dermatoscopic image re- trieval with deep classification features.

Composed Vision-Language Retrieval for Skin Cancer Case Search via Joint Alignment of Global and Local Representations Diagnostic accuracy of content-based dermatoscopic image re- trieval with deep classification features

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 3126e77e-5048-4b61-a401-eb005a094d14 · outbound

This paper cites Dermoscopic image retrieval based on rotation- invariance deep hashing.

Composed Vision-Language Retrieval for Skin Cancer Case Search via Joint Alignment of Global and Local Representations Dermoscopic image retrieval based on rotation- invariance deep hashing

Reference 9

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Source-reported events for the cited work

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Observation 1bc9c712-38f0-419b-926c-6a51871dd605 · outbound

This paper cites Interpretable pap-smear image retrieval for cervical cancer detection with rotation invariance mask generation deep hashing.

Composed Vision-Language Retrieval for Skin Cancer Case Search via Joint Alignment of Global and Local Representations Interpretable pap-smear image retrieval for cervical cancer detection with rotation invariance mask generation deep hashing

Reference 10

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Observation 6cc6ee66-f618-415e-95c3-009bb3351fa8 · outbound

This paper cites Multi- scale triplet hashing for medical image retrieval.

Composed Vision-Language Retrieval for Skin Cancer Case Search via Joint Alignment of Global and Local Representations Multi- scale triplet hashing for medical image retrieval

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 23b73f18-cc46-4e14-a82d-e5fd2000f3ea · outbound

This paper cites Deep hashing with walsh domain for multi-label image retrieval.

Composed Vision-Language Retrieval for Skin Cancer Case Search via Joint Alignment of Global and Local Representations Deep hashing with walsh domain for multi-label image retrieval

Reference 12

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Source-reported events for the cited work

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Observation a2e1aa18-7104-494d-8201-a437b08b8e84 · outbound

This paper cites Multi-channel content based image retrieval method for skin diseases using similarity network fusion and deep community analysis.

Composed Vision-Language Retrieval for Skin Cancer Case Search via Joint Alignment of Global and Local Representations Multi-channel content based image retrieval method for skin diseases using similarity network fusion and deep community analysis

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation fc51d31d-80f8-477a-a39b-e712f03f322e · outbound

This paper cites Attention is all you need.

Composed Vision-Language Retrieval for Skin Cancer Case Search via Joint Alignment of Global and Local Representations Attention is all you need

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation dc84b76a-1ba4-4d5c-ada0-dff86a6ca959 · outbound

This paper cites BERT: A Review of Applications in Natural Language Processing and Understanding.

Composed Vision-Language Retrieval for Skin Cancer Case Search via Joint Alignment of Global and Local Representations BERT: A Review of Applications in Natural Language Processing and Understanding

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation d233db3f-9ed5-4bcf-8401-ec6a103b952a · outbound

This paper cites Med- bert: pretrained contextualized embeddings on large-scale structured electronic health records for disease prediction.

Composed Vision-Language Retrieval for Skin Cancer Case Search via Joint Alignment of Global and Local Representations Med- bert: pretrained contextualized embeddings on large-scale structured electronic health records for disease prediction

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation da085c24-70c3-4a5d-b007-5843bac07507 · outbound

This paper cites Pre-trained multimodal large language model enhances derma- tological diagnosis using skingpt-4.

Composed Vision-Language Retrieval for Skin Cancer Case Search via Joint Alignment of Global and Local Representations Pre-trained multimodal large language model enhances derma- tological diagnosis using skingpt-4

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 5fee1df3-b481-4a1c-8b45-48e563e7ad90 · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.

Composed Vision-Language Retrieval for Skin Cancer Case Search via Joint Alignment of Global and Local Representations Swin transformer: Hierarchical vision transformer using shifted windows

Reference 18

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Source-reported events for the cited work

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Observation efa4d5cd-b056-475c-a0d8-58a8a27fcae3 · outbound

This paper cites Multi-modal transformer with global-local alignment for com- posed query image retrieval.

Composed Vision-Language Retrieval for Skin Cancer Case Search via Joint Alignment of Global and Local Representations Multi-modal transformer with global-local alignment for com- posed query image retrieval

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation ca2c72a5-79fb-40f7-bf66-12f40a47e068 · outbound

This paper cites Skinformer: Learning statistical texture representation with transformer for skin lesion segmentation.

Composed Vision-Language Retrieval for Skin Cancer Case Search via Joint Alignment of Global and Local Representations Skinformer: Learning statistical texture representation with transformer for skin lesion segmentation

Reference 20

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Source-reported events for the cited work

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Observation 48a0ef91-68c8-42a3-983c-7d8bcfd24fc9 · outbound

This paper cites Optimal explainable vision transformer framework for skin cancer diagnosis with neural architecture search feature learning.

Composed Vision-Language Retrieval for Skin Cancer Case Search via Joint Alignment of Global and Local Representations Optimal explainable vision transformer framework for skin cancer diagnosis with neural architecture search feature learning

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 562e7e0e-ad69-4721-8858-b848f3f0e562 · outbound

This paper cites Composed image retrieval via cross relation network with hierarchical aggregation transformer.

Composed Vision-Language Retrieval for Skin Cancer Case Search via Joint Alignment of Global and Local Representations Composed image retrieval via cross relation network with hierarchical aggregation transformer

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation ece719f7-c8ef-45fe-b475-4dc3d2e1f426 · outbound

This paper cites A comprehensive survey on composed image retrieval.

Composed Vision-Language Retrieval for Skin Cancer Case Search via Joint Alignment of Global and Local Representations A comprehensive survey on composed image retrieval

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 16eefdcc-e764-4768-8c39-a7c5e37e25e2 · outbound

This paper cites Textbridge: A text-centered framework for enhanced multimodal inte- gration and retrieval.

Composed Vision-Language Retrieval for Skin Cancer Case Search via Joint Alignment of Global and Local Representations Textbridge: A text-centered framework for enhanced multimodal inte- gration and retrieval

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 380bfe44-0321-475b-8a16-251ee3fd4a45 · outbound

This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

Composed Vision-Language Retrieval for Skin Cancer Case Search via Joint Alignment of Global and Local Representations RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 74c8ded3-4583-4555-b88f-0bf40b3e34c4 · outbound

This paper cites Integrating clinical knowledge graphs and gradient-based neural systems for enhanced melanoma diagnosis via the seven-point checklist.

Composed Vision-Language Retrieval for Skin Cancer Case Search via Joint Alignment of Global and Local Representations Integrating clinical knowledge graphs and gradient-based neural systems for enhanced melanoma diagnosis via the seven-point checklist

Reference 26

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 7cfc714c-13aa-43a8-8be5-6ad7ad30ec88 · outbound

This paper cites Unsupervised visual similarity-based medical image retrieval via dual-encoder and metric learning.

Composed Vision-Language Retrieval for Skin Cancer Case Search via Joint Alignment of Global and Local Representations Unsupervised visual similarity-based medical image retrieval via dual-encoder and metric learning

Reference 27

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 11aed275-3b90-40e1-accc-d30f56941aed · outbound

This paper cites Fusion of textural and visual information for medical image modality retrieval using deep learning-based feature engineering.

Composed Vision-Language Retrieval for Skin Cancer Case Search via Joint Alignment of Global and Local Representations Fusion of textural and visual information for medical image modality retrieval using deep learning-based feature engineering

Reference 28

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 27a2fb5f-217a-4b1b-93f3-f3854a03064a · outbound

This paper cites Global meets local: Dual activation hashing network for large-scale fine-grained image retrieval.

Composed Vision-Language Retrieval for Skin Cancer Case Search via Joint Alignment of Global and Local Representations Global meets local: Dual activation hashing network for large-scale fine-grained image retrieval

Reference 29

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verified fuzzy
raw_fallback, observed 2026-05-15T13:55:53.746095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 58b0fa4e-fece-40c6-af5d-59bc619409e2 · outbound

This paper cites Seven-point checklist and skin lesion classification using multitask multimodal neural nets.

Composed Vision-Language Retrieval for Skin Cancer Case Search via Joint Alignment of Global and Local Representations Seven-point checklist and skin lesion classification using multitask multimodal neural nets

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T13:55:53.724729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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