Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T17:59:44.658585Z
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 0 inbound Pith citation observations for arXiv:2507.09612.
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 2026-08-06T17:59:44.658585Z
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
57 of 57 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 68897891-50d7-4487-9c27-94c9d5301552 · outbound
Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Ef- ficient interactive annotation of segmentation datasets with polygon-rnn++
Reference 1
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Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Moinul Hos- sain, Gianluca Marcelli, Marc Alemany-Fornes, and Anas- tasios D
Reference 2
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Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Mvtec ad–a comprehensive real-world dataset for unsupervised anomaly detection
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Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Focalclick: towards practical in- teractive image segmentation
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Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Fu, Stefano Ermon, Atri Rudra, and Christopher R´e
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Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive An image is worth 16x16 words: Transformers for image recognition at scale
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Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Image Compression with Product Quantized Masked Image Modeling
Reference 9
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Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Taming transformers for high-resolution image synthesis
Reference 10
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Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Eva: Exploring the limits of masked visual representa- tion learning at scale
Reference 11
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Observation faa02641-e8c6-4512-b4f3-9c82e76349ab · outbound
Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Mamba: Linear-Time Sequence Modeling with Selective State Spaces
Reference 12
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Observation 57937788-8758-4a72-a04e-e97bf210e2da · outbound
Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Star-transformer
Reference 13
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Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Girshick
Reference 14
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Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Flatten transformer: Vision transformer using focused linear attention
Reference 15
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Reference 16
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Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Mask r-cnn
Reference 17
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Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Interformer: Real-time interactive image segmentation
Reference 18
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Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive HRSAM: Efficient Interactive Segmentation in High-Resolution Images
Reference 19
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Reference 21
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Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Transformers in vision: A survey
Reference 22
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Reference 23
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Reference 24
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Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive LISA: Reasoning Segmentation via Large Language Model
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Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Exploring plain vision transformer backbones for object de- tection
Reference 26
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Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Interactive image segmentation with latent diversity
Reference 27
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Observation 63f3bcea-9b9b-4829-b9ff-37fc53304fd3 · outbound
Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Lawrence Zitnick
Reference 28
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Observation c452a0a2-fb5c-4b5d-b66f-39c214892251 · outbound
Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Interactive image segmentation with first click attention
Reference 29
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Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Transformer-VQ: Linear-Time Transformers via Vector Quantization
Reference 30
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Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive DeepSeek-V3 Technical Report
Reference 31
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Observation 71ee2ea2-52b4-4cea-ba5f-8a4c8bd46526 · outbound
Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive SimpleClick: Interactive Image Segmentation with Simple Vision Transformers
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Reference 33
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Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Rethinking Interactive Image Segmentation with Low Latency, High Quality, and Diverse Prompts
Reference 34
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Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Swin transformer: Hierarchical vision transformer using shifted windows
Reference 35
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Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Segment Anything in Medical Images
Reference 36
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Reference 37
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Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Segment anything model for medical image analysis: an experimental study
Reference 38
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Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Finite Scalar Quantization: VQ-VAE Made Simple
Reference 39
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Observation 8ed33318-551b-4119-b464-9482ebe37a36 · outbound
Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Gross, and Alexander Sorkine- Hornung
Reference 40
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Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Self-attention Does Not Need $O(n^2)$ Memory
Reference 41
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Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Petrov, Olga Barinova, and Anton Konushin
Reference 42
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Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Roformer: Enhanced transformer with rotary position embedding
Reference 43
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Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Gomez, Lukasz Kaiser, and Illia Polosukhin
Reference 45
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Reference 47
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Reference 48
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Reference 49
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Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Price, Scott Cohen, Jimei Yang, and Thomas S
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Reference 52
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Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Leveraging AI Predicted and Expert Revised Annotations in Interactive Segmentation: Continual Tuning or Full Training?
Reference 53
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Observation 6be68bb3-d653-4d4c-832b-eaf9de91d993 · outbound
Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Image and Video Tokenization with Binary Spherical Quantization
Reference 54
Source-reported events for the cited work
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Reference 55
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Observation 4376c965-97a6-4055-a413-c858a5cfd599 · outbound
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Reference 585
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Reference 2021
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No inbound Pith citation observations are available.