Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T04:47:08.060954Z
Paper Citation Record · LEDGER
As of 7 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 0 inbound Pith citation observations for arXiv:2506.09634.
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 2026-08-07T04:47:08.060954Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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
52 of 52 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 59d1df71-1389-4d58-8a2c-ee09b32c4a33 · outbound
HSENet: Hybrid Spatial Encoding Network for 3D Medical Vision-Language Understanding Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
Reference 1
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Observation 656efc58-2110-4998-a288-a64b06889b1a · outbound
HSENet: Hybrid Spatial Encoding Network for 3D Medical Vision-Language Understanding DCFormer: Efficient 3D Vision-Language Modeling with Decomposed Convolutions
Reference 2
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Observation 7a954a7c-d5a8-4442-ba12-c67648decd15 · outbound
HSENet: Hybrid Spatial Encoding Network for 3D Medical Vision-Language Understanding M3D: Advancing 3D Medical Image Analysis with Multi-Modal Large Language Models
Reference 3
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Observation 1c5b0f29-76a7-4997-9239-afd5e0597e8c · outbound
HSENet: Hybrid Spatial Encoding Network for 3D Medical Vision-Language Understanding Shah, Andrew Johnston, Robert D
Reference 4
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Observation ddf966f4-e600-4c6d-aa4b-73395c2e83df · outbound
HSENet: Hybrid Spatial Encoding Network for 3D Medical Vision-Language Understanding Bruno, Eric A
Reference 5
Source-reported events for the cited work
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Observation 4b26adec-b0b4-4955-ab61-8013d1320908 · outbound
HSENet: Hybrid Spatial Encoding Network for 3D Medical Vision-Language Understanding 3D-CT-GPT: Generating 3D Radiology Reports through Integration of Large Vision-Language Models
Reference 6
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Observation 48dcebf1-4bf3-43a9-822f-079ce5e67f00 · outbound
HSENet: Hybrid Spatial Encoding Network for 3D Medical Vision-Language Understanding HuatuoGPT-Vision, Towards Injecting Medical Visual Knowledge into Multimodal LLMs at Scale
Reference 7
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Observation 95305907-eca2-414a-9d4f-20ead735841f · outbound
HSENet: Hybrid Spatial Encoding Network for 3D Medical Vision-Language Understanding Dragonfly: Multi-Resolution Zoom-In Encoding Enhances Vision-Language Models
Reference 8
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Observation a76d515b-13ab-4ff0-8da7-1aa827f86195 · outbound
HSENet: Hybrid Spatial Encoding Network for 3D Medical Vision-Language Understanding MedBLIP: Bootstrapping Language-Image Pre-training from 3D Medical Images and Texts
Reference 9
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Observation 37b70fec-5257-4c93-851d-29b00c830b61 · outbound
HSENet: Hybrid Spatial Encoding Network for 3D Medical Vision-Language Understanding BIMCV-R: A Landmark Dataset for 3D CT Text-Image Retrieval
Reference 10
Source-reported events for the cited work
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Observation 3a2baa62-f388-436a-95e3-6391794fb94d · outbound
HSENet: Hybrid Spatial Encoding Network for 3D Medical Vision-Language Understanding Dia-LLaMA: Towards Large Language Model-driven CT Report Generation
Reference 11
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Observation 594844b1-255a-40dc-ad4d-807471d347b9 · outbound
HSENet: Hybrid Spatial Encoding Network for 3D Medical Vision-Language Understanding BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Reference 12
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Observation 124937a7-342c-49b7-8b75-0f59990804b1 · outbound
HSENet: Hybrid Spatial Encoding Network for 3D Medical Vision-Language Understanding An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Reference 13
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Observation 2b779508-9103-42b8-a0cb-631d79a054b6 · outbound
HSENet: Hybrid Spatial Encoding Network for 3D Medical Vision-Language Understanding Developing Generalist Foundation Models from a Multimodal Dataset for 3D Computed Tomography
Reference 14
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Observation 4feccbb4-ac79-4e5d-ad6f-7d192f85fe18 · outbound
HSENet: Hybrid Spatial Encoding Network for 3D Medical Vision-Language Understanding LoRA: Low-Rank Adaptation of Large Language Models
Reference 15
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Observation f5fff607-8b6c-4f1d-923e-6379ef9deebd · outbound
HSENet: Hybrid Spatial Encoding Network for 3D Medical Vision-Language Understanding Ball, Norah Borus, Andrew Huang, Bhavik N
Reference 16
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Observation b356897e-0e06-49ab-90ae-43215cb14aa4 · outbound
HSENet: Hybrid Spatial Encoding Network for 3D Medical Vision-Language Understanding Lungren, und Serena Yeung
Reference 17
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Observation 556ea59f-01cf-47ae-9322-af38c4d2464b · outbound
HSENet: Hybrid Spatial Encoding Network for 3D Medical Vision-Language Understanding Unresolved cited work
Reference 18
Source-reported events for the cited work
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Observation 79a40d5c-1666-4444-a0c4-39568d4a1496 · outbound
HSENet: Hybrid Spatial Encoding Network for 3D Medical Vision-Language Understanding MDAgents: An Adaptive Collaboration of LLMs for Medical Decision-Making
Reference 19
Source-reported events for the cited work
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Observation 3cbc623f-fd10-44ae-abf3-1f67173aa724 · outbound
HSENet: Hybrid Spatial Encoding Network for 3D Medical Vision-Language Understanding E3D-GPT: Enhanced 3D Visual Foundation for Medical Vision-Language Model
Reference 20
Source-reported events for the cited work
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Observation f398a14c-3cd1-4287-a0f3-2c58b6662927 · outbound
HSENet: Hybrid Spatial Encoding Network for 3D Medical Vision-Language Understanding Kevin Zhou
Reference 21
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Observation a5794760-a898-4bd0-beee-2b7d456c3087 · outbound
HSENet: Hybrid Spatial Encoding Network for 3D Medical Vision-Language Understanding METEOR: An Automatic Metric for MT Evaluation with High Levels of Correlation with Human Judgments
Reference 22
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Observation e444ef61-6a4c-40c4-b933-5116bbda84a8 · outbound
HSENet: Hybrid Spatial Encoding Network for 3D Medical Vision-Language Understanding Towards a holistic framework for multimodal LLM in 3D brain CT radiology report generation
Reference 23
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Observation 7e10a83b-decf-4894-b774-0bef881cfbcb · outbound
HSENet: Hybrid Spatial Encoding Network for 3D Medical Vision-Language Understanding LLaV A-Med: Training a Large Language-and- Vision Assistant for Biomedicine in One Day
Reference 24
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Observation ff9013ea-85a7-4230-833d-a2291a85dc49 · outbound
HSENet: Hybrid Spatial Encoding Network for 3D Medical Vision-Language Understanding Unresolved cited work
Reference 25
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Observation 1e1d1347-ba9f-44c9-99d4-540f68fcd32a · outbound
HSENet: Hybrid Spatial Encoding Network for 3D Medical Vision-Language Understanding Dynamic Graph Enhanced Contrastive Learning for Chest X-ray Report Generation
Reference 26
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Observation 4adaa931-5207-495e-bbd1-7f0ca55cb3db · outbound
HSENet: Hybrid Spatial Encoding Network for 3D Medical Vision-Language Understanding TokenPacker: Efficient Visual Projector for Multimodal LLM
Reference 27
Source-reported events for the cited work
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Observation d752036f-f3da-41d7-bf24-79bda8a8573c · outbound
HSENet: Hybrid Spatial Encoding Network for 3D Medical Vision-Language Understanding Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models
Reference 28
Source-reported events for the cited work
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Observation 3f76dae1-5a53-4bd6-b0d0-5d850f82c64a · outbound
HSENet: Hybrid Spatial Encoding Network for 3D Medical Vision-Language Understanding Macro-and micro- anatomical, histological and computed tomography scan characterization of the nasopalatine canal
Reference 29
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Observation 910fd7f9-d15c-495d-9346-30f4a4f64400 · outbound
HSENet: Hybrid Spatial Encoding Network for 3D Medical Vision-Language Understanding Rouge: A package for automatic evaluation of summaries
Reference 30
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Observation 40c0597a-cc1a-444e-999d-9166c23816f1 · outbound
HSENet: Hybrid Spatial Encoding Network for 3D Medical Vision-Language Understanding MG-3D: Multi-Grained Knowledge-Enhanced 3D Medical Vision-Language Pre-training
Reference 31
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Observation 2a42e4d0-3fa2-499c-a749-a9664e804bd4 · outbound
HSENet: Hybrid Spatial Encoding Network for 3D Medical Vision-Language Understanding Bleu: a Method for Auto- matic Evaluation of Machine Translation
Reference 32
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Observation d16d19a9-7886-4572-a920-c0f099914bdc · outbound
HSENet: Hybrid Spatial Encoding Network for 3D Medical Vision-Language Understanding Learning Transferable Visual Models From Natural Language Supervision
Reference 33
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Observation e89def40-1a80-42a2-b779-0d5302249e3b · outbound
HSENet: Hybrid Spatial Encoding Network for 3D Medical Vision-Language Understanding Salvolini, E
Reference 34
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Observation d7c55625-fda1-40c0-b6bb-b382ad468434 · outbound
HSENet: Hybrid Spatial Encoding Network for 3D Medical Vision-Language Understanding Time Is Money: Considerations for Measuring the Radiological Reading Time
Reference 35
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Observation 5b7dceb2-6ae9-4f9d-9767-12fea05b9215 · outbound
HSENet: Hybrid Spatial Encoding Network for 3D Medical Vision-Language Understanding Med-2E3: A 2D-Enhanced 3D Medical Multimodal Large Language Model
Reference 36
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Observation 7480eb91-463e-4c1b-b889-80e3340626b9 · outbound
HSENet: Hybrid Spatial Encoding Network for 3D Medical Vision-Language Understanding Unresolved cited work
Reference 37
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Observation 7e9939ad-ea6f-4414-a99a-344e21c0a209 · outbound
HSENet: Hybrid Spatial Encoding Network for 3D Medical Vision-Language Understanding Unresolved cited work
Reference 38
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Observation d3d44794-c411-4187-8c28-c7d1cc90b1b5 · outbound
HSENet: Hybrid Spatial Encoding Network for 3D Medical Vision-Language Understanding Towards Generalist Biomedical AI
Reference 39
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Observation 1f57a25c-8f75-4339-8799-4a0e942798c7 · outbound
HSENet: Hybrid Spatial Encoding Network for 3D Medical Vision-Language Understanding Representation Learning with Contrastive Predictive Coding
Reference 40
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Observation fa98463d-1155-416d-867b-0f2e6da219b4 · outbound
HSENet: Hybrid Spatial Encoding Network for 3D Medical Vision-Language Understanding Cross-modal prototype driven network for radiology report generation
Reference 41
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Observation fd024453-c5ee-4cd6-b23a-8214a5f63df9 · outbound
HSENet: Hybrid Spatial Encoding Network for 3D Medical Vision-Language Understanding MMCLIP: Cross-modal Attention Masked Modelling for Medical Language-Image Pre-Training
Reference 42
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Observation 98a3ec93-657c-4a92-bf45-7c1b99b0c292 · outbound
HSENet: Hybrid Spatial Encoding Network for 3D Medical Vision-Language Understanding Towards Generalist Foundation Model for Radiology by Leveraging Web-scale 2D&3D Medical Data
Reference 43
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Observation 883a7492-0f61-419c-868a-29c40e50901f · outbound
HSENet: Hybrid Spatial Encoding Network for 3D Medical Vision-Language Understanding Zou, und Huaxiu Yao
Reference 44
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HSENet: Hybrid Spatial Encoding Network for 3D Medical Vision-Language Understanding Med3DVLM: An Efficient Vision- Language Model for 3D Medical Image Analysis
Reference 45
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Observation f3bc874f-1ec7-4a1a-a361-98eefc53a0bb · outbound
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Reference 46
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HSENet: Hybrid Spatial Encoding Network for 3D Medical Vision-Language Understanding Lungren, Tristan Naumann, Sheng Wang, und Hoifung Poon
Reference 47
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Observation a8424c63-97ce-46e9-8a0a-4604076e458d · outbound
HSENet: Hybrid Spatial Encoding Network for 3D Medical Vision-Language Understanding Weinberger, und Yoav Artzi
Reference 48
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Observation 12f782b5-3cf3-4c2f-9a47-c9d7f591e4ac · outbound
HSENet: Hybrid Spatial Encoding Network for 3D Medical Vision-Language Understanding MEPNet: Medical Entity-Balanced Prompting Network for Brain CT Report Generation
Reference 49
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Observation 3f99ebed-d651-47b5-87b0-1f2f8c00f6b6 · outbound
HSENet: Hybrid Spatial Encoding Network for 3D Medical Vision-Language Understanding RadGenome-Chest CT: A Grounded Vision-Language Dataset for Chest CT Analysis
Reference 50
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Observation dd49e689-3feb-418a-a7b8-e50e15fce348 · outbound
HSENet: Hybrid Spatial Encoding Network for 3D Medical Vision-Language Understanding There are emphysematous changes in both lungs
Reference 51
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Observation 16f3d46d-e57f-4dec-a54b-23b8802df80d · outbound
HSENet: Hybrid Spatial Encoding Network for 3D Medical Vision-Language Understanding Guidelines: • The answer NA means that the paper does not involve crowdsourcing nor research with human subjects
Reference 52
Source-reported events for the cited work
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No inbound Pith citation observations are available.