Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-06-26T21:03:43.962738Z
Paper Citation Record · LEDGER
Moebius: 0.2B Lightweight Image Inpainting Framework with 10B-Level Performance
As of 6 August 2026, this Paper Citation Record lists 71 of 71 outbound references and 0 inbound Pith citation observations for arXiv:2606.19195.
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 2026-08-06T06:34:29.942622+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
71 of 71 outbound references displayed
- verified exact24
- verified fuzzy0
- unresolved36
- parse uncertain0
- malformed identifier3
- metadata mismatch8
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 0c8cb1b5-a660-45f8-b2c1-f3153179421c · outbound
This paper cites LambdaNetworks: Modeling Long-Range Interactions Without Attention.
Moebius: 0.2B Lightweight Image Inpainting Framework with 10B-Level Performance LambdaNetworks: Modeling Long-Range Interactions Without Attention
Reference 1
- Resolution
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Source-reported events for the cited work
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Observation 7fe7a1df-bdab-40ab-b6f8-e3e90c061586 · outbound
This paper cites 2000 , isbn =.
Moebius: 0.2B Lightweight Image Inpainting Framework with 10B-Level Performance 2000 , isbn =
Reference 2
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 579d0deb-00b2-4f17-9cb7-242777f18f0d · outbound
This paper cites In: Proceedings of the IEEE/CVF International Conference on Computer Vision.
Moebius: 0.2B Lightweight Image Inpainting Framework with 10B-Level Performance In: Proceedings of the IEEE/CVF International Conference on Computer Vision
Reference 3
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4a27c159-b39b-4151-9d36-6d3f30b75db0 · outbound
This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
Moebius: 0.2B Lightweight Image Inpainting Framework with 10B-Level Performance In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Reference 4
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3f211061-9337-42f1-bb2e-fd6e53be9bb9 · outbound
This paper cites Distilling Knowledge via Knowledge Review.
Moebius: 0.2B Lightweight Image Inpainting Framework with 10B-Level Performance Distilling Knowledge via Knowledge Review
Reference 5
- Resolution
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- arxiv_id, observed 2026-07-04T00:39:17.086415Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 78a832ac-2d86-4c63-a8c8-dd00037b54e0 · outbound
This paper cites In: International Conference on Learning Representations (ICLR) (2024).
Moebius: 0.2B Lightweight Image Inpainting Framework with 10B-Level Performance In: International Conference on Learning Representations (ICLR) (2024)
Reference 6
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 119c114c-f703-48f5-90be-18bed84410af · outbound
This paper cites Advances in neural information pro- cessing systems35, 16344–16359 (2022).
Moebius: 0.2B Lightweight Image Inpainting Framework with 10B-Level Performance Advances in neural information pro- cessing systems35, 16344–16359 (2022)
Reference 7
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3b2c01e3-26de-4069-8002-49f3bbf30d65 · outbound
This paper cites In: Forty-first international conference on machine learning (2024).
Moebius: 0.2B Lightweight Image Inpainting Framework with 10B-Level Performance In: Forty-first international conference on machine learning (2024)
Reference 8
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9f2441b9-0330-4bcb-b0a0-5d1c596fbad7 · outbound
This paper cites Taming Transformers for High-Resolution Image Synthesis.
Moebius: 0.2B Lightweight Image Inpainting Framework with 10B-Level Performance Taming Transformers for High-Resolution Image Synthesis
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T00:39:17.090513Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 2538a170-bb45-4355-9b31-455cac58ff7d · outbound
This paper cites an unresolved cited work.
Moebius: 0.2B Lightweight Image Inpainting Framework with 10B-Level Performance Unresolved cited work
Reference 10
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 08d1e377-dc25-47e0-9f6d-09520adb066b · outbound
This paper cites In: CVPR (2019).
Moebius: 0.2B Lightweight Image Inpainting Framework with 10B-Level Performance In: CVPR (2019)
Reference 11
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation eecab2a2-299a-407b-ab01-fd5de1bf1d8c · outbound
This paper cites In: Guyon, I., Luxburg, U.V., Bengio, S., Wallach, H., Fergus, R., Vishwanathan, S., Garnett, R.
Moebius: 0.2B Lightweight Image Inpainting Framework with 10B-Level Performance In: Guyon, I., Luxburg, U.V., Bengio, S., Wallach, H., Fergus, R., Vishwanathan, S., Garnett, R
Reference 12
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 30fe6059-631c-4f01-ab3d-d3673820977c · outbound
This paper cites Distilling the Knowledge in a Neural Network.
Moebius: 0.2B Lightweight Image Inpainting Framework with 10B-Level Performance Distilling the Knowledge in a Neural Network
Reference 13
- Resolution
- verified exact
- local_arxiv, observed 2026-07-04T00:39:17.112156Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation a9815468-f738-4b8a-9696-71ecb314bad8 · outbound
This paper cites Classifier-Free Diffusion Guidance.
Moebius: 0.2B Lightweight Image Inpainting Framework with 10B-Level Performance Classifier-Free Diffusion Guidance
Reference 14
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-04T00:39:17.115085Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 540c0e5e-0d7e-446f-96a0-18cbde55bc17 · outbound
This paper cites Introducing OpenAI o1-preview.
Moebius: 0.2B Lightweight Image Inpainting Framework with 10B-Level Performance Introducing OpenAI o1-preview
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T00:39:17.121169Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 9097e23c-2403-457a-8067-f9abb56b91cc · outbound
This paper cites an unresolved cited work.
Moebius: 0.2B Lightweight Image Inpainting Framework with 10B-Level Performance Unresolved cited work
Reference 16
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 14db5721-c2b4-4658-9fb4-3d2805a9a999 · outbound
This paper cites an unresolved cited work.
Moebius: 0.2B Lightweight Image Inpainting Framework with 10B-Level Performance Unresolved cited work
Reference 17
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d7e88d9d-0cfa-41a3-bf36-062367e96061 · outbound
This paper cites In: European Conference on Computer Vision (ECCV) (2024).
Moebius: 0.2B Lightweight Image Inpainting Framework with 10B-Level Performance In: European Conference on Computer Vision (ECCV) (2024)
Reference 18
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c549668a-8a13-4b5b-9300-5ec23b6a695d · outbound
This paper cites doi: 10.1109/TPAMI.2020.2970919.
Moebius: 0.2B Lightweight Image Inpainting Framework with 10B-Level Performance doi: 10.1109/TPAMI.2020.2970919
Reference 19
- Resolution
- verified exact
- arxiv_id, observed 2026-06-26T21:09:57.764981Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 34fddfe4-ed79-4191-b8bf-877998fa1718 · outbound
This paper cites an unresolved cited work.
Moebius: 0.2B Lightweight Image Inpainting Framework with 10B-Level Performance Unresolved cited work
Reference 20
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 80f27461-beb9-4c77-9463-ab4f1d271fcb · outbound
This paper cites In: Interspeech 2014.
Moebius: 0.2B Lightweight Image Inpainting Framework with 10B-Level Performance In: Interspeech 2014
Reference 21
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 718b2dd1-0b60-4b5a-ace4-92dcc80793e3 · outbound
This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
Moebius: 0.2B Lightweight Image Inpainting Framework with 10B-Level Performance In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Reference 22
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2902a95c-8acc-4ab1-8cef-12aa5c65392e · outbound
This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (2022).
Moebius: 0.2B Lightweight Image Inpainting Framework with 10B-Level Performance In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (2022)
Reference 23
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 35b28fb5-fec1-41d0-aa35-9d80417409c0 · outbound
This paper cites In: Proceedings of the IEEE international conference on computer vision (2023).
Moebius: 0.2B Lightweight Image Inpainting Framework with 10B-Level Performance In: Proceedings of the IEEE international conference on computer vision (2023)
Reference 24
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d697ccb1-dc9c-4e57-a95a-91a98f5cb4fb · outbound
This paper cites Simplifying, Stabilizing and Scaling Continuous-Time Consistency Models.
Moebius: 0.2B Lightweight Image Inpainting Framework with 10B-Level Performance Simplifying, Stabilizing and Scaling Continuous-Time Consistency Models
Reference 25
- Resolution
- verified exact
- local_arxiv, observed 2026-07-04T00:39:17.109014Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 66f8767a-67f8-4904-b801-bbae31c8dc50 · outbound
This paper cites In: The Thirteenth International Conference on Learning Repre- sentations (2023).
Moebius: 0.2B Lightweight Image Inpainting Framework with 10B-Level Performance In: The Thirteenth International Conference on Learning Repre- sentations (2023)
Reference 26
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 38627186-0fb0-4acb-addf-94b33bcd3245 · outbound
This paper cites In: The IEEE International Conference on Computer Vision (ICCV) Workshops (Oct 2019).
Moebius: 0.2B Lightweight Image Inpainting Framework with 10B-Level Performance In: The IEEE International Conference on Computer Vision (ICCV) Workshops (Oct 2019)
Reference 27
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d46f0cb3-4db6-4be9-b8db-30b93a7a45c4 · outbound
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Moebius: 0.2B Lightweight Image Inpainting Framework with 10B-Level Performance Scalable Diffusion Models with Transformers
Reference 28
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation aad52d0f-b054-4591-9bfe-f683d6963c3d · outbound
This paper cites SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis.
Moebius: 0.2B Lightweight Image Inpainting Framework with 10B-Level Performance SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis
Reference 29
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation e98271be-1f70-4c0f-9776-07daeee15993 · outbound
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Moebius: 0.2B Lightweight Image Inpainting Framework with 10B-Level Performance MobileNetV4 -- Universal Models for the Mobile Ecosystem
Reference 30
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 1950e87c-5f56-4b92-8977-0085295a2dbb · outbound
This paper cites an unresolved cited work.
Moebius: 0.2B Lightweight Image Inpainting Framework with 10B-Level Performance Unresolved cited work
Reference 31
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 76f3934c-38d6-4c9b-9e8a-4ba5e44af62a · outbound
This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
Moebius: 0.2B Lightweight Image Inpainting Framework with 10B-Level Performance In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Reference 32
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7213541b-be76-42fc-9007-f69cade41ac6 · outbound
This paper cites FitNets: Hints for Thin Deep Nets.
Moebius: 0.2B Lightweight Image Inpainting Framework with 10B-Level Performance FitNets: Hints for Thin Deep Nets
Reference 33
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation bf0bd558-17f7-42f2-9abc-1504974218b7 · outbound
This paper cites Progressive Distillation for Fast Sampling of Diffusion Models.
Moebius: 0.2B Lightweight Image Inpainting Framework with 10B-Level Performance Progressive Distillation for Fast Sampling of Diffusion Models
Reference 34
- Resolution
- verified exact
- local_arxiv, observed 2026-07-04T00:39:17.068016Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation c30394c2-2742-448a-a450-03bc2aeabed2 · outbound
This paper cites In: 2018 IEEE/CVF Conference on Com- puter Vision and Pattern Recognition.
Moebius: 0.2B Lightweight Image Inpainting Framework with 10B-Level Performance In: 2018 IEEE/CVF Conference on Com- puter Vision and Pattern Recognition
Reference 35
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 99e65d3e-de03-4143-a6a5-9ced59ea7439 · outbound
This paper cites In: Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV).
Moebius: 0.2B Lightweight Image Inpainting Framework with 10B-Level Performance In: Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)
Reference 36
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 564d336c-da5e-4e6d-b0e2-f0e5d2ed73de · outbound
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Moebius: 0.2B Lightweight Image Inpainting Framework with 10B-Level Performance GLU Variants Improve Transformer
Reference 37
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 81bdf0bb-7a14-4597-87bc-3bfd20edd6ef · outbound
This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.
Moebius: 0.2B Lightweight Image Inpainting Framework with 10B-Level Performance Very Deep Convolutional Networks for Large-Scale Image Recognition
Reference 38
- Resolution
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Source-reported events for the cited work
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Observation 5ebe189d-e44d-40bb-9748-5cf969b84f05 · outbound
This paper cites arXiv (2023).
Moebius: 0.2B Lightweight Image Inpainting Framework with 10B-Level Performance arXiv (2023)
Reference 39
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5a2ed593-1165-4f2e-af14-57e5d3efb483 · outbound
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Moebius: 0.2B Lightweight Image Inpainting Framework with 10B-Level Performance Consistency Models
Reference 40
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation cbbe3121-04e1-499a-ad4f-4e0cdf7cc336 · outbound
This paper cites Resolution-robust Large Mask Inpainting with Fourier Convolutions.
Moebius: 0.2B Lightweight Image Inpainting Framework with 10B-Level Performance Resolution-robust Large Mask Inpainting with Fourier Convolutions
Reference 41
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation eef99cb7-2179-4821-b117-f2ffc38e8683 · outbound
This paper cites In: International conference on machine learning.
Moebius: 0.2B Lightweight Image Inpainting Framework with 10B-Level Performance In: International conference on machine learning
Reference 42
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 07309d82-a09e-4031-940c-c2686de7859c · outbound
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Moebius: 0.2B Lightweight Image Inpainting Framework with 10B-Level Performance Kimi K2: Open Agentic Intelligence
Reference 43
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation d77e12de-c94a-47b4-b7e1-c332a5365797 · outbound
This paper cites In: International Conference on Learning Representations (ICLR) (2018).
Moebius: 0.2B Lightweight Image Inpainting Framework with 10B-Level Performance In: International Conference on Learning Representations (ICLR) (2018)
Reference 44
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 40a995ee-0cbb-41a4-8c75-a7a8bca62fa4 · outbound
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Moebius: 0.2B Lightweight Image Inpainting Framework with 10B-Level Performance Contrastive Representation Distillation
Reference 45
- Resolution
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- arxiv_id, observed 2026-07-04T00:39:17.107833Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation aab3d8d2-6c07-4fc7-b4d5-d9c6f9f926ec · outbound
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Moebius: 0.2B Lightweight Image Inpainting Framework with 10B-Level Performance Advances in neural information pro- cessing systems30(2017)
Reference 46
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bb9c3bb6-ae91-466e-bd46-98dab0d82055 · outbound
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Moebius: 0.2B Lightweight Image Inpainting Framework with 10B-Level Performance 2021.00425
Reference 47
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 6d1e600b-bc12-4beb-b8b2-d1b492523217 · outbound
This paper cites IEEE Trans.
Moebius: 0.2B Lightweight Image Inpainting Framework with 10B-Level Performance IEEE Trans
Reference 48
- Resolution
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Source-reported events for the cited work
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Observation 29113710-5acc-4b9c-98f5-8dd8fe0902a1 · outbound
This paper cites Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model.
Moebius: 0.2B Lightweight Image Inpainting Framework with 10B-Level Performance Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model
Reference 49
- Resolution
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- arxiv_id, observed 2026-07-04T00:39:17.077266Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation c3880f2a-fb83-47ce-b4a0-33d9bf559330 · outbound
This paper cites Qwen-Image Technical Report.
Moebius: 0.2B Lightweight Image Inpainting Framework with 10B-Level Performance Qwen-Image Technical Report
Reference 50
- Resolution
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- local_arxiv, observed 2026-07-04T00:39:17.103213Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation a1fcd72b-48ae-40e0-ae38-2056329f3d52 · outbound
This paper cites SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformers.
Moebius: 0.2B Lightweight Image Inpainting Framework with 10B-Level Performance SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformers
Reference 51
- Resolution
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- local_arxiv, observed 2026-07-04T00:39:17.055810Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation af92f639-14f0-4925-bbd4-7ed88cf3941e · outbound
This paper cites SANA 1.5: Efficient Scaling of Training-Time and Inference-Time Compute in Linear Diffusion Transformer.
Moebius: 0.2B Lightweight Image Inpainting Framework with 10B-Level Performance SANA 1.5: Efficient Scaling of Training-Time and Inference-Time Compute in Linear Diffusion Transformer
Reference 52
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T00:39:17.093675Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 88342ceb-ff9c-4065-afc7-99c86956e776 · outbound
This paper cites In: Neural Information Processing Systems (NeurIPS) (2021).
Moebius: 0.2B Lightweight Image Inpainting Framework with 10B-Level Performance In: Neural Information Processing Systems (NeurIPS) (2021)
Reference 53
- Resolution
- unresolved
- no resolver link, observed 2026-06-26T21:03:43.962738Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4aeef12f-f941-480a-96e6-44b9bfcfff66 · outbound
This paper cites PixelHacker: Image Inpainting with Structural and Semantic Consistency.
Moebius: 0.2B Lightweight Image Inpainting Framework with 10B-Level Performance PixelHacker: Image Inpainting with Structural and Semantic Consistency
Reference 54
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T00:39:17.074534Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 288a71f0-ec2b-4c10-b3bc-6f921ebd81a8 · outbound
This paper cites In: European Conference on Artificial Intelligence.
Moebius: 0.2B Lightweight Image Inpainting Framework with 10B-Level Performance In: European Conference on Artificial Intelligence
Reference 55
- Resolution
- verified exact
- doi, observed 2026-06-26T21:09:57.761535Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation ecd552d3-6d2b-4b7a-aed2-396f8e7adca8 · outbound
This paper cites In: Proceedings of the AAAI Conference on Artificial Intelligence.
Moebius: 0.2B Lightweight Image Inpainting Framework with 10B-Level Performance In: Proceedings of the AAAI Conference on Artificial Intelligence
Reference 56
- Resolution
- unresolved
- no resolver link, observed 2026-06-26T21:03:43.962738Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b6af2f2a-3b2f-45bd-8674-17c8c0ca8184 · outbound
This paper cites OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models.
Moebius: 0.2B Lightweight Image Inpainting Framework with 10B-Level Performance OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models
Reference 57
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-04T00:39:17.055071Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation acc02c19-e032-4235-b622-ca20bd05994d · outbound
This paper cites In: Proceedings of ICML (2024).
Moebius: 0.2B Lightweight Image Inpainting Framework with 10B-Level Performance In: Proceedings of ICML (2024)
Reference 58
- Resolution
- unresolved
- no resolver link, observed 2026-06-26T21:03:43.962738Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6297d781-9190-4cad-8d8a-ac8a13fb6ba4 · outbound
This paper cites an unresolved cited work.
Moebius: 0.2B Lightweight Image Inpainting Framework with 10B-Level Performance Unresolved cited work
Reference 59
- Resolution
- unresolved
- no resolver link, observed 2026-06-26T21:03:43.962738Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 16e1576f-53fc-4190-8507-3b328b8be717 · outbound
This paper cites generation: Taming optimization dilemma in latent diffusion models.
Moebius: 0.2B Lightweight Image Inpainting Framework with 10B-Level Performance generation: Taming optimization dilemma in latent diffusion models
Reference 60
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d7ac122b-aa0e-47fd-a94a-d417a97d3b4a · outbound
This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.
Moebius: 0.2B Lightweight Image Inpainting Framework with 10B-Level Performance In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
Reference 61
- Resolution
- unresolved
- no resolver link, observed 2026-06-26T21:03:43.962738Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6e3d81d2-9054-4b0c-a9fc-b5b37fa849e0 · outbound
This paper cites In: 2017 IEEE Confer- ence on Computer Vision and Pattern Recognition (CVPR).
Moebius: 0.2B Lightweight Image Inpainting Framework with 10B-Level Performance In: 2017 IEEE Confer- ence on Computer Vision and Pattern Recognition (CVPR)
Reference 62
- Resolution
- verified exact
- doi, observed 2026-06-26T21:09:57.761719Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 509d9822-afb6-4e89-a11f-d3f7646e7c26 · outbound
This paper cites PoseNet: A convolutional network for real-time 6-dof camera relocalization.
Moebius: 0.2B Lightweight Image Inpainting Framework with 10B-Level Performance PoseNet: A convolutional network for real-time 6-dof camera relocalization
Reference 63
- Resolution
- malformed identifier
- doi_truncated, observed 2026-06-26T21:09:57.751051Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 252891c6-37c6-4ebc-98b3-bfa8d1cb83f4 · outbound
This paper cites Ghai and K.
Moebius: 0.2B Lightweight Image Inpainting Framework with 10B-Level Performance Ghai and K
Reference 64
- Resolution
- metadata mismatch
- doi, observed 2026-06-26T21:09:57.753362Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 226fe237-59e0-4da8-90e4-100c62adcb0b · outbound
This paper cites In: CVPR (2018).
Moebius: 0.2B Lightweight Image Inpainting Framework with 10B-Level Performance In: CVPR (2018)
Reference 65
- Resolution
- unresolved
- no resolver link, observed 2026-06-26T21:03:43.962738Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c68ee747-8322-4b06-9a0a-b73c86afb206 · outbound
This paper cites In: Proceedings of the IEEE conference on computer vision and pattern recognition.
Moebius: 0.2B Lightweight Image Inpainting Framework with 10B-Level Performance In: Proceedings of the IEEE conference on computer vision and pattern recognition
Reference 66
- Resolution
- unresolved
- no resolver link, observed 2026-06-26T21:03:43.962738Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2227993e-54c5-493e-890b-fa1c9e0c99fb · outbound
This paper cites In: Interna- tional Conference on Learning Representations (ICLR) (2021).
Moebius: 0.2B Lightweight Image Inpainting Framework with 10B-Level Performance In: Interna- tional Conference on Learning Representations (ICLR) (2021)
Reference 67
- Resolution
- unresolved
- no resolver link, observed 2026-06-26T21:03:43.962738Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 75d5ed45-591a-499a-b626-e97bff79fd2f · outbound
This paper cites IEEE Transactions on Pattern Analysis and Machine Intelligence (2017).
Moebius: 0.2B Lightweight Image Inpainting Framework with 10B-Level Performance IEEE Transactions on Pattern Analysis and Machine Intelligence (2017)
Reference 68
- Resolution
- unresolved
- no resolver link, observed 2026-06-26T21:03:43.962738Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dc75b418-ba64-4d09-8838-bdc90c3cbafb · outbound
This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
Moebius: 0.2B Lightweight Image Inpainting Framework with 10B-Level Performance In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Reference 69
- Resolution
- unresolved
- no resolver link, observed 2026-06-26T21:03:43.962738Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 879d02b1-a409-43b0-bf24-082d8b2ab2c9 · outbound
This paper cites IEEE Transactions on Image Processing30, 4855–4866 (2021).https://doi.org/10.1109/TIP.2021.
Moebius: 0.2B Lightweight Image Inpainting Framework with 10B-Level Performance IEEE Transactions on Image Processing30, 4855–4866 (2021).https://doi.org/10.1109/TIP.2021
Reference 70
- Resolution
- verified exact
- doi, observed 2026-06-26T21:09:57.749100Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation f2cdb67c-b874-46a0-bedb-d0acc46247f9 · outbound
This paper cites an unresolved cited work.
Moebius: 0.2B Lightweight Image Inpainting Framework with 10B-Level Performance Unresolved cited work
Reference 71
- Resolution
- malformed identifier
- no resolver link, observed 2026-06-26T21:03:43.962738Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.