Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-02T05:15:08.455583Z
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2607.16316.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-02T05:15:08.455583Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
23 of 23 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 154e6561-452b-4a39-b107-90ea207ebce3 · outbound
Eddy-VL 1.9B: Structural Pruning and Layered Distillation for Edge-Deployable Multimodal Embedding Qwen3-VL Technical Report
Reference 1
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Unavailable: canonical work link unavailable.
Observation 67a9010d-4dd9-4805-993a-f877f53c109c · outbound
Eddy-VL 1.9B: Structural Pruning and Layered Distillation for Edge-Deployable Multimodal Embedding Eddy-VL Embedding 1.9B
Reference 2
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Unavailable: canonical work link unavailable.
Observation c7dd6949-ec8d-4e82-bbbb-66fb97fbc756 · outbound
Eddy-VL 1.9B: Structural Pruning and Layered Distillation for Edge-Deployable Multimodal Embedding FlashAttention: Fast and memory-efficient exact attention with IO-awareness
Reference 3
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Unavailable: canonical work link unavailable.
Observation b46c1a4b-afd0-496e-a931-65d20a4d58d4 · outbound
Eddy-VL 1.9B: Structural Pruning and Layered Distillation for Edge-Deployable Multimodal Embedding With limited data for multimodal alignment, let the STRUCTURE guide you
Reference 4
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Unavailable: canonical work link unavailable.
Observation f574acd2-b5aa-4509-91ad-698254da94a6 · outbound
Eddy-VL 1.9B: Structural Pruning and Layered Distillation for Edge-Deployable Multimodal Embedding Evaluation of deep convolu- tional nets for document image classification and retrieval
Reference 5
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 13e44443-c9c9-4f71-8bbb-2cfde7a35629 · outbound
Eddy-VL 1.9B: Structural Pruning and Layered Distillation for Edge-Deployable Multimodal Embedding Distilling the Knowledge in a Neural Network
Reference 6
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e3186d75-4cc9-4391-b154-e5fd8124c931 · outbound
Eddy-VL 1.9B: Structural Pruning and Layered Distillation for Edge-Deployable Multimodal Embedding SugarCrepe: Fixing hackable benchmarks for vision-language compositionality
Reference 7
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Unavailable: canonical work link unavailable.
Observation 563d6d1d-0ad0-45b8-b168-792c9ffef967 · outbound
Eddy-VL 1.9B: Structural Pruning and Layered Distillation for Edge-Deployable Multimodal Embedding VLM2Vec: Training Vision-Language Models for Massive Multimodal Embedding Tasks
Reference 8
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Unavailable: canonical work link unavailable.
Observation d28c07ae-dd08-4db2-9c2d-1b980ec138a8 · outbound
Eddy-VL 1.9B: Structural Pruning and Layered Distillation for Edge-Deployable Multimodal Embedding Korean Image Captioning Dataset (ai hub dataset no
Reference 9
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Unavailable: canonical work link unavailable.
Observation b2d70048-07b6-48b9-914f-a0080d4384ba · outbound
Eddy-VL 1.9B: Structural Pruning and Layered Distillation for Edge-Deployable Multimodal Embedding Similarity of neural network representations revisited
Reference 10
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Unavailable: canonical work link unavailable.
Observation c9506c1e-5d5d-4ece-84e2-6236eea7b3f1 · outbound
Eddy-VL 1.9B: Structural Pruning and Layered Distillation for Edge-Deployable Multimodal Embedding Matryoshka representation learning
Reference 11
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Unavailable: canonical work link unavailable.
Observation 97b1c02b-9a0a-4e70-a318-a840abea2f27 · outbound
Eddy-VL 1.9B: Structural Pruning and Layered Distillation for Edge-Deployable Multimodal Embedding Qwen3-VL-Embedding and Qwen3-VL-Reranker: A Unified Framework for State-of-the-Art Multimodal Retrieval and Ranking
Reference 12
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Unavailable: canonical work link unavailable.
Observation 1359d9fe-fd01-46a4-823d-c3fbdbcb22f6 · outbound
Eddy-VL 1.9B: Structural Pruning and Layered Distillation for Edge-Deployable Multimodal Embedding Lawrence Zitnick
Reference 13
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Unavailable: canonical work link unavailable.
Observation 4696e332-5fff-4ef7-865f-d2c2a64da1f2 · outbound
Eddy-VL 1.9B: Structural Pruning and Layered Distillation for Edge-Deployable Multimodal Embedding VLM2Vec-V2: Advancing Multimodal Embedding for Videos, Images, and Visual Documents
Reference 14
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Unavailable: canonical work link unavailable.
Observation beb8be55-3efe-4a0b-8aa9-3b8ea445758b · outbound
Eddy-VL 1.9B: Structural Pruning and Layered Distillation for Edge-Deployable Multimodal Embedding AI Hub (korean public ai training data portal)
Reference 15
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Unavailable: canonical work link unavailable.
Observation aa3e834b-9554-4aac-a4d8-c4d66fe6e90d · outbound
Eddy-VL 1.9B: Structural Pruning and Layered Distillation for Edge-Deployable Multimodal Embedding CORD: A consolidated receipt dataset for post-OCR parsing
Reference 16
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Unavailable: canonical work link unavailable.
Observation 5fef0d74-1944-4c89-af3d-7a6c5afe9d85 · outbound
Eddy-VL 1.9B: Structural Pruning and Layered Distillation for Edge-Deployable Multimodal Embedding Relational knowledge distillation
Reference 17
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Unavailable: canonical work link unavailable.
Observation 4d1cb976-6544-40f9-9e55-0e55d54bc43e · outbound
Eddy-VL 1.9B: Structural Pruning and Layered Distillation for Edge-Deployable Multimodal Embedding Qwen3-VL-Embedding-2B.https://huggingface.co/Qwen/ Qwen3-VL-Embedding-2B, 2025
Reference 18
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Observation 8ff266fe-52f5-456a-905b-6cec89546894 · outbound
Eddy-VL 1.9B: Structural Pruning and Layered Distillation for Edge-Deployable Multimodal Embedding Winoground: Probing vision and language models for visio-linguistic compositionality
Reference 19
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Unavailable: canonical work link unavailable.
Observation 3bd65173-dc16-4d54-90d1-c01d724a06c5 · outbound
Eddy-VL 1.9B: Structural Pruning and Layered Distillation for Edge-Deployable Multimodal Embedding SUN database: Large-scale scene recognition from abbey to zoo
Reference 20
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Unavailable: canonical work link unavailable.
Observation 32c90110-76c5-45d2-9976-3c1f6309dc94 · outbound
Eddy-VL 1.9B: Structural Pruning and Layered Distillation for Edge-Deployable Multimodal Embedding When and why vision-language models behave like bags-of-words, and what to do about it? InICLR, 2023
Reference 21
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Unavailable: canonical work link unavailable.
Observation b70fe2da-0fe6-4071-a673-012155ebf6e8 · outbound
Eddy-VL 1.9B: Structural Pruning and Layered Distillation for Edge-Deployable Multimodal Embedding MR2-bench: Going beyond matching to reasoning in multimodal retrieval.arXiv preprint arXiv:2509.26378, 2025
Reference 22
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Observation ac9d0cfb-aad1-47cc-8bad-e0598e30e3e0 · outbound
Eddy-VL 1.9B: Structural Pruning and Layered Distillation for Edge-Deployable Multimodal Embedding Rethinking Centered Kernel Alignment in Knowledge Distillation
Reference 23
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No inbound Pith citation observations are available.