Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-02T15:14:36.946247Z
Paper Citation Record · LEDGER
As of 7 August 2026, this Paper Citation Record lists 66 of 66 outbound references and 0 inbound Pith citation observations for arXiv:2607.00371.
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 2026-07-02T15:14:36.946247Z
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
66 of 66 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 0da90fe8-bcf8-4777-afab-071772494ce0 · outbound
MEPA: Multi-Scale Representation Alignment for Visual Autoregressive Modeling with Mixture of Experts GPT-4 Technical Report
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MEPA: Multi-Scale Representation Alignment for Visual Autoregressive Modeling with Mixture of Experts arXiv preprint arXiv:2007.01127 (2020)
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MEPA: Multi-Scale Representation Alignment for Visual Autoregressive Modeling with Mixture of Experts Large Scale GAN Training for High Fidelity Natural Image Synthesis
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Observation aa8dd81c-6d84-4bc7-8fd7-fff15a38c01a · outbound
MEPA: Multi-Scale Representation Alignment for Visual Autoregressive Modeling with Mixture of Experts Journal of Machine Learning Research23(120), 1–39 (2022)
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Observation ba29abff-50d8-482b-a90d-06a37371b571 · outbound
MEPA: Multi-Scale Representation Alignment for Visual Autoregressive Modeling with Mixture of Experts In: Proceedings of the Computer Vision and Pattern Recognition Conference
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Observation 0d87f049-5fdf-491e-9830-97576817448f · outbound
MEPA: Multi-Scale Representation Alignment for Visual Autoregressive Modeling with Mixture of Experts Unresolved cited work
Reference 17
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Observation 8a6732a4-f581-42d7-961f-d958121ae9e9 · outbound
MEPA: Multi-Scale Representation Alignment for Visual Autoregressive Modeling with Mixture of Experts In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition
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MEPA: Multi-Scale Representation Alignment for Visual Autoregressive Modeling with Mixture of Experts Scaling Laws for Autoregressive Generative Modeling
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Observation 10d17ca3-b6ea-4b24-aa9c-68fa180359ea · outbound
MEPA: Multi-Scale Representation Alignment for Visual Autoregressive Modeling with Mixture of Experts Advances in neural information processing systems33, 6840–6851 (2020)
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MEPA: Multi-Scale Representation Alignment for Visual Autoregressive Modeling with Mixture of Experts Journal of Machine Learning Research23(47), 1–33 (2022)
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MEPA: Multi-Scale Representation Alignment for Visual Autoregressive Modeling with Mixture of Experts In: Proceedings of the Computer Vision and Pattern Recognition Conference
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MEPA: Multi-Scale Representation Alignment for Visual Autoregressive Modeling with Mixture of Experts SpectralAR: Spectral Autoregressive Visual Generation
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Source-reported events for the cited work
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Observation ad394153-cb42-4a18-81e1-969d68f7ee22 · outbound
MEPA: Multi-Scale Representation Alignment for Visual Autoregressive Modeling with Mixture of Experts Neural computation3(1), 79–87 (1991)
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MEPA: Multi-Scale Representation Alignment for Visual Autoregressive Modeling with Mixture of Experts Flexvar: Flexible visual autoregressive modeling without residual prediction.arXiv preprint arXiv:2502.20313,
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MEPA: Multi-Scale Representation Alignment for Visual Autoregressive Modeling with Mixture of Experts Unresolved cited work
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Observation d032bd21-56e8-457f-a405-737142c5b558 · outbound
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Observation ab741e70-0732-48aa-9da8-fe353087baaa · outbound
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Reference 35
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Observation ba8daa83-1d70-41b5-8af5-2736ca2bec97 · outbound
MEPA: Multi-Scale Representation Alignment for Visual Autoregressive Modeling with Mixture of Experts Unresolved cited work
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MEPA: Multi-Scale Representation Alignment for Visual Autoregressive Modeling with Mixture of Experts Unresolved cited work
Reference 44
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MEPA: Multi-Scale Representation Alignment for Visual Autoregressive Modeling with Mixture of Experts DINOv3
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Reference 49
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Observation 16b77313-d12f-43f8-8501-e6fd875a1fb1 · outbound
MEPA: Multi-Scale Representation Alignment for Visual Autoregressive Modeling with Mixture of Experts Unresolved cited work
Reference 54
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MEPA: Multi-Scale Representation Alignment for Visual Autoregressive Modeling with Mixture of Experts MaskBit: Embedding-free Image Generation via Bit Tokens
Reference 55
Source-reported events for the cited work
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Reference 56
Source-reported events for the cited work
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Observation 90abbd2e-4ff1-4df9-bbd1-06862cc69da7 · outbound
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Reference 57
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Observation d55a114d-1b63-4170-803f-ac8b1b032502 · outbound
MEPA: Multi-Scale Representation Alignment for Visual Autoregressive Modeling with Mixture of Experts generation: Taming optimization dilemma in latent diffusion models
Reference 58
Source-reported events for the cited work
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Observation 18844e57-c060-4f55-9725-28722368d38c · outbound
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Reference 59
Source-reported events for the cited work
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Reference 60
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Observation 38dcf045-86cd-49ab-9968-62bdf04a5513 · outbound
MEPA: Multi-Scale Representation Alignment for Visual Autoregressive Modeling with Mixture of Experts Advances in Neural Information Processing Systems37, 128940–128966 (2024)
Reference 61
Source-reported events for the cited work
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Observation 5d0ad53c-1a40-4e25-b827-7db0fea834b3 · outbound
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Reference 62
Source-reported events for the cited work
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Observation c8a8d39e-8772-4fd9-bcc3-f21248a45d59 · outbound
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Reference 63
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Observation 47074686-6bab-4358-a2e6-8ceb559c8c0a · outbound
MEPA: Multi-Scale Representation Alignment for Visual Autoregressive Modeling with Mixture of Experts Advances in Neural Information Processing Systems35, 7103–7114 (2022)
Reference 64
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Observation e4e52c5d-0910-439e-b9d3-a27e11303402 · outbound
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Reference 65
Source-reported events for the cited work
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Observation 543a92b1-cf1d-4faf-8ffe-6e152c431736 · outbound
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Reference 66
Source-reported events for the cited work
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No inbound Pith citation observations are available.