Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T17:59:44.658585Z
Paper Citation Record · LEDGER
Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive
As of 21 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.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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
Reference resolution
57 of 57 outbound references displayed
- verified exact3
- verified fuzzy26
- unresolved26
- parse uncertain1
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 68897891-50d7-4487-9c27-94c9d5301552 · outbound
This paper cites Ef- ficient interactive annotation of segmentation datasets with polygon-rnn++.
Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Ef- ficient interactive annotation of segmentation datasets with polygon-rnn++
Reference 1
- Resolution
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Source-reported events for the cited work
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Observation 2f1202f6-7312-49d3-af09-fceca1a60c77 · outbound
This paper cites Moinul Hos- sain, Gianluca Marcelli, Marc Alemany-Fornes, and Anas- tasios D.
Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Moinul Hos- sain, Gianluca Marcelli, Marc Alemany-Fornes, and Anas- tasios D
Reference 2
- Resolution
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Source-reported events for the cited work
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Observation c6f49b15-f40c-4890-965d-70039fad130e · outbound
This paper cites Mvtec ad–a comprehensive real-world dataset for unsupervised anomaly detection.
Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Mvtec ad–a comprehensive real-world dataset for unsupervised anomaly detection
Reference 3
- Resolution
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Source-reported events for the cited work
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Observation f3e79b69-9c14-49c2-8301-6d8071ed9aef · outbound
This paper cites nuscenes: A multi- modal dataset for autonomous driving.
Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive nuscenes: A multi- modal dataset for autonomous driving
Reference 4
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 422fcf44-c7d9-4422-abe7-aea092f3e420 · outbound
This paper cites Focalclick: towards practical in- teractive image segmentation.
Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Focalclick: towards practical in- teractive image segmentation
Reference 5
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation c6486f07-cae1-4c13-832c-4ca56f0c00c7 · outbound
This paper cites FlashAttention-2: Faster attention with better par- allelism and work partitioning.
Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive FlashAttention-2: Faster attention with better par- allelism and work partitioning
Reference 6
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 1b607509-86ef-4e08-9216-2426db8d0f45 · outbound
This paper cites Fu, Stefano Ermon, Atri Rudra, and Christopher R´e.
Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Fu, Stefano Ermon, Atri Rudra, and Christopher R´e
Reference 7
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 4dd43549-5bfc-4f2c-b6f5-c0203e2373ed · outbound
This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.
Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive An image is worth 16x16 words: Transformers for image recognition at scale
Reference 8
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 949d9b8e-f720-4f8a-bd42-6d604bd9ce91 · outbound
This paper cites Image Compression with Product Quantized Masked Image Modeling.
Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Image Compression with Product Quantized Masked Image Modeling
Reference 9
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2a939be7-30af-4e14-bb95-8efc9d34d861 · outbound
This paper cites Taming transformers for high-resolution image synthesis.
Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Taming transformers for high-resolution image synthesis
Reference 10
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9cd767cd-5111-4302-83f8-a573f826ccab · outbound
This paper cites Eva: Exploring the limits of masked visual representa- tion learning at scale.
Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Eva: Exploring the limits of masked visual representa- tion learning at scale
Reference 11
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation faa02641-e8c6-4512-b4f3-9c82e76349ab · outbound
This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.
Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Mamba: Linear-Time Sequence Modeling with Selective State Spaces
Reference 12
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 57937788-8758-4a72-a04e-e97bf210e2da · outbound
This paper cites Star-transformer.
Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Star-transformer
Reference 13
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 6bc10f52-6175-4371-a10a-c8ffc204c68f · outbound
This paper cites Girshick.
Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Girshick
Reference 14
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 23044086-259f-4648-97ec-2fe855688be0 · outbound
This paper cites Flatten transformer: Vision transformer using focused linear attention.
Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Flatten transformer: Vision transformer using focused linear attention
Reference 15
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 0c8ae67b-9f9f-4a9a-943c-2feadba750c2 · outbound
This paper cites Deep residual learning for image recognition.
Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Deep residual learning for image recognition
Reference 16
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f48e18d7-fa88-41be-be1d-a6504c5142d2 · outbound
This paper cites Mask r-cnn.
Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Mask r-cnn
Reference 17
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 18b83410-5428-4233-b66d-4c4ca993df9e · outbound
This paper cites Interformer: Real-time interactive image segmentation.
Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Interformer: Real-time interactive image segmentation
Reference 18
- Resolution
- verified fuzzy
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Source-reported events for the cited work
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Observation 5e659fb3-e108-49b7-bc20-9d25b4b55524 · outbound
This paper cites HRSAM: Efficient Interactive Segmentation in High-Resolution Images.
Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive HRSAM: Efficient Interactive Segmentation in High-Resolution Images
Reference 19
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 039b08ca-caff-40c4-b4f9-45d403c82f10 · outbound
This paper cites Interactive image seg- mentation via backpropagating refinement scheme.
Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Interactive image seg- mentation via backpropagating refinement scheme
Reference 20
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 13a2bf29-6b91-4c73-b32b-0be3d0d4d076 · outbound
This paper cites Segment anything in high quality.
Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Segment anything in high quality
Reference 21
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 721247d7-4a60-41e1-9626-66566a199402 · outbound
This paper cites Transformers in vision: A survey.
Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Transformers in vision: A survey
Reference 22
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 510cd5c1-3fb1-4a8b-a843-6cc3ccbcebbc · outbound
This paper cites Segment any- thing.
Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Segment any- thing
Reference 23
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation e2bdc49e-006c-4078-8871-b0af4fae5d64 · outbound
This paper cites an unresolved cited work.
Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Unresolved cited work
Reference 24
- Resolution
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation e1982561-f511-4d16-a33c-2e135b68235f · outbound
This paper cites LISA: Reasoning Segmentation via Large Language Model.
Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive LISA: Reasoning Segmentation via Large Language Model
Reference 25
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3ea5ba65-c0c8-4629-ac84-46abbcd06e0b · outbound
This paper cites Exploring plain vision transformer backbones for object de- tection.
Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Exploring plain vision transformer backbones for object de- tection
Reference 26
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation fb3b5c69-3955-4d6a-9e84-1d6c548bab83 · outbound
This paper cites Interactive image segmentation with latent diversity.
Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Interactive image segmentation with latent diversity
Reference 27
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 63f3bcea-9b9b-4829-b9ff-37fc53304fd3 · outbound
This paper cites Lawrence Zitnick.
Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Lawrence Zitnick
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 2026-08-21T06:32:19.484+00:00.
Observation c452a0a2-fb5c-4b5d-b66f-39c214892251 · outbound
This paper cites Interactive image segmentation with first click attention.
Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Interactive image segmentation with first click attention
Reference 29
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation ca0054aa-37ef-4ed8-aa3c-6908b3dafa19 · outbound
This paper cites Transformer-VQ: Linear-Time Transformers via Vector Quantization.
Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Transformer-VQ: Linear-Time Transformers via Vector Quantization
Reference 30
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 329fe068-ed4e-49ae-989b-135a43cbe3a6 · outbound
This paper cites DeepSeek-V3 Technical Report.
Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive DeepSeek-V3 Technical Report
Reference 31
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 71ee2ea2-52b4-4cea-ba5f-8a4c8bd46526 · outbound
This paper cites SimpleClick: Interactive Image Segmentation with Simple Vision Transformers.
Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive SimpleClick: Interactive Image Segmentation with Simple Vision Transformers
Reference 32
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0a4c9921-87d5-4a7a-b679-54aca9b73b6a · outbound
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Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Pseudoclick: Interactive image segmentation with click imi- tation
Reference 33
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation ffa45373-8032-4bee-922d-e432b9bc3a64 · outbound
This paper cites Rethinking Interactive Image Segmentation with Low Latency, High Quality, and Diverse Prompts.
Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Rethinking Interactive Image Segmentation with Low Latency, High Quality, and Diverse Prompts
Reference 34
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b93184ae-072a-40f8-9aca-da083c05f840 · outbound
This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.
Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Swin transformer: Hierarchical vision transformer using shifted windows
Reference 35
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7ae41f4b-92fe-4efb-b2fe-640468955fb8 · outbound
This paper cites Segment Anything in Medical Images.
Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Segment Anything in Medical Images
Reference 36
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 73251273-ef52-4c90-b8e4-ba5c479e7bf0 · outbound
This paper cites Deep extreme cut: From extreme points to object segmentation.
Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Deep extreme cut: From extreme points to object segmentation
Reference 37
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 0443b593-47dc-4ad8-8ce5-8aae21380599 · outbound
This paper cites Segment anything model for medical image analysis: an experimental study.
Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Segment anything model for medical image analysis: an experimental study
Reference 38
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b035f61b-7131-4304-81e5-9159d52efd71 · outbound
This paper cites Finite Scalar Quantization: VQ-VAE Made Simple.
Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Finite Scalar Quantization: VQ-VAE Made Simple
Reference 39
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8ed33318-551b-4119-b464-9482ebe37a36 · outbound
This paper cites Gross, and Alexander Sorkine- Hornung.
Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Gross, and Alexander Sorkine- Hornung
Reference 40
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 38941a85-0e27-44a0-bfcd-2a070ef9bc96 · outbound
This paper cites Self-attention Does Not Need $O(n^2)$ Memory.
Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Self-attention Does Not Need $O(n^2)$ Memory
Reference 41
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a0001edd-c4e3-402b-aed2-3735caf3e73c · outbound
This paper cites Petrov, Olga Barinova, and Anton Konushin.
Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Petrov, Olga Barinova, and Anton Konushin
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:59:46.839249Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 6fc9de30-9d6a-4270-b772-4fe39c8996b9 · outbound
This paper cites Roformer: Enhanced transformer with rotary position embedding.
Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Roformer: Enhanced transformer with rotary position embedding
Reference 43
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 97a92bc1-5798-4a02-95f0-859d027b5316 · outbound
This paper cites Neural discrete representation learning.
Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Neural discrete representation learning
Reference 44
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7adda1d5-3e5b-4f11-be44-cc5cc766deca · outbound
This paper cites Gomez, Lukasz Kaiser, and Illia Polosukhin.
Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Gomez, Lukasz Kaiser, and Illia Polosukhin
Reference 45
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation e37945da-c806-43af-9c51-5b8ecaafa336 · outbound
This paper cites Order-aware Interactive Segmentation.
Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Order-aware Interactive Segmentation
Reference 46
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation b83b033a-e8a4-46d1-85a2-ecaef160dbff · outbound
This paper cites Internimage: Exploring large-scale vi- sion foundation models with deformable convolutions.
Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Internimage: Exploring large-scale vi- sion foundation models with deformable convolutions
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:59:46.188030Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation ee6d4960-afe5-4b1c-9271-2392a7a93bad · outbound
This paper cites EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything.
Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything
Reference 48
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation db734360-93ec-4cb0-be7c-86b44932a057 · outbound
This paper cites Structured Click Control in Transformer-based Interactive Segmentation.
Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Structured Click Control in Transformer-based Interactive Segmentation
Reference 49
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T17:59:45.006158Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation c73dd96e-6bd5-4651-bb50-1ddb747eb924 · outbound
This paper cites Price, Scott Cohen, Jimei Yang, and Thomas S.
Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Price, Scott Cohen, Jimei Yang, and Thomas S
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:59:45.876912Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 7ff96d30-366d-477c-b2cf-5c28cf7f9484 · outbound
This paper cites Vector-quantized Image Modeling with Improved VQGAN.
Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Vector-quantized Image Modeling with Improved VQGAN
Reference 51
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a07228c9-062e-49b5-9d5a-54ab5f4ecd8f · outbound
This paper cites Faster Segment Anything: Towards Lightweight SAM for Mobile Applications.
Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Faster Segment Anything: Towards Lightweight SAM for Mobile Applications
Reference 52
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:59:44.470606Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 52ab7135-a609-4e82-8ef2-6c08c56889d0 · outbound
This paper cites Leveraging AI Predicted and Expert Revised Annotations in Interactive Segmentation: Continual Tuning or Full Training?.
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
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T17:59:44.831422Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 6be68bb3-d653-4d4c-832b-eaf9de91d993 · outbound
This paper cites Image and Video Tokenization with Binary Spherical Quantization.
Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Image and Video Tokenization with Binary Spherical Quantization
Reference 54
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:59:44.578141Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 25e12b38-6e27-4056-ba6f-6a6f91a887d8 · outbound
This paper cites Online clustered code- book.
Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Online clustered code- book
Reference 55
- Resolution
- malformed identifier
- raw_fallback, observed 2026-08-06T17:59:45.623460Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 4376c965-97a6-4055-a413-c858a5cfd599 · outbound
This paper cites an unresolved cited work.
Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Unresolved cited work
Reference 585
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T17:59:48.501036Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 886b1b02-97bc-4557-b83c-ed82e9b33a50 · outbound
This paper cites an unresolved cited work.
Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Unresolved cited work
Reference 2021
- Resolution
- parse uncertain
- raw_fallback, observed 2026-08-06T17:59:51.130413Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Pith citing papers
No inbound Pith citation observations are available.