Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T15:10:13.252046Z
Paper Citation Record · LEDGER
As of 16 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 0 inbound Pith citation observations for arXiv:2608.01635.
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 2026-08-15T15:10:13.252046Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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
54 of 54 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation f8a9a247-2cdc-4f31-967e-344c83c85e75 · outbound
Mitigating Visual Degradation in MLLMs via Spatial-Spectral Visual Anchor Learning GPT-4 Technical Report
Reference 1
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Observation c37d79e8-fa56-4c39-98a7-d0a1e6f10c9b · outbound
Mitigating Visual Degradation in MLLMs via Spatial-Spectral Visual Anchor Learning Unresolved cited work
Reference 2
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Observation d550d22c-b605-49b2-ae72-de55c401c120 · outbound
Mitigating Visual Degradation in MLLMs via Spatial-Spectral Visual Anchor Learning Qwen2.5-VL Technical Report
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Observation 7f79ca4e-f91c-4539-af8f-949ee5c8b7f8 · outbound
Mitigating Visual Degradation in MLLMs via Spatial-Spectral Visual Anchor Learning Unresolved cited work
Reference 5
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Observation cbce7e97-ed3e-4061-91e7-c5b6994c6e47 · outbound
Mitigating Visual Degradation in MLLMs via Spatial-Spectral Visual Anchor Learning InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks
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Observation b7fe13db-620d-4b0d-82b4-715d503d6707 · outbound
Mitigating Visual Degradation in MLLMs via Spatial-Spectral Visual Anchor Learning Unresolved cited work
Reference 7
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Observation b35bdf3a-9d49-44c5-ae35-eeac53f711c8 · outbound
Mitigating Visual Degradation in MLLMs via Spatial-Spectral Visual Anchor Learning MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models
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Observation 37f2b892-f65d-4f11-b6cd-7fa3ae1c5d04 · outbound
Mitigating Visual Degradation in MLLMs via Spatial-Spectral Visual Anchor Learning Hidden in plain sight: VLMs overlook their visual representations
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Observation bac51d75-f5c4-4fb2-a92e-18c46cc5e294 · outbound
Mitigating Visual Degradation in MLLMs via Spatial-Spectral Visual Anchor Learning Unresolved cited work
Reference 10
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Observation e17aaac1-8b82-4ba0-a645-e0432dc272a5 · outbound
Mitigating Visual Degradation in MLLMs via Spatial-Spectral Visual Anchor Learning E^2VPT: An Effective and Efficient Approach for Visual Prompt Tuning
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Observation 9684e802-5fe9-41d4-b923-8f1ba2e70e74 · outbound
Mitigating Visual Degradation in MLLMs via Spatial-Spectral Visual Anchor Learning Unresolved cited work
Reference 12
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Observation 12dc7a2f-9fb7-4945-8cb5-32c504fc2108 · outbound
Mitigating Visual Degradation in MLLMs via Spatial-Spectral Visual Anchor Learning Visual Prompt Tuning
Reference 13
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Observation 309ad413-30c8-43a7-b124-7c7ef35c92d5 · outbound
Mitigating Visual Degradation in MLLMs via Spatial-Spectral Visual Anchor Learning From CLIP to DINO: Visual Encoders Shout in Multi-modal Large Language Models
Reference 14
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Observation 81e457f9-9a81-49bd-a68c-0130329ba1ab · outbound
Mitigating Visual Degradation in MLLMs via Spatial-Spectral Visual Anchor Learning 2025.Multimodal Continual Learning with MLLMs from Multi-scenario Perspectives
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Observation c0db908a-a066-4042-9000-895dbd37eaf8 · outbound
Mitigating Visual Degradation in MLLMs via Spatial-Spectral Visual Anchor Learning 2026.Mitigating Long-Tail Bias in HOI Detection via Adaptive Diversity Cache
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Observation db2dc4bb-1474-4ec9-9357-d27ec5855f24 · outbound
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Reference 17
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Observation 0e0d2263-5b2d-4d16-bffe-10a3976b2eca · outbound
Mitigating Visual Degradation in MLLMs via Spatial-Spectral Visual Anchor Learning Unresolved cited work
Reference 18
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Observation 23045e58-746a-45c1-b41f-cd28f84b0439 · outbound
Mitigating Visual Degradation in MLLMs via Spatial-Spectral Visual Anchor Learning Khan, and Fahad Shahbaz Khan
Reference 19
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Observation ad8c2032-b06c-4849-8bdc-7d428710ca76 · outbound
Mitigating Visual Degradation in MLLMs via Spatial-Spectral Visual Anchor Learning Unresolved cited work
Reference 20
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Observation 2182b9a1-777d-4b2f-a8ef-6ea26a1218c2 · outbound
Mitigating Visual Degradation in MLLMs via Spatial-Spectral Visual Anchor Learning LLaVA-OneVision: Easy Visual Task Transfer
Reference 21
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Observation 89bb2ef1-3030-4762-a905-4c43819e7b82 · outbound
Mitigating Visual Degradation in MLLMs via Spatial-Spectral Visual Anchor Learning LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models
Reference 22
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Observation 11feea3a-1ee2-4275-86aa-1e943d615aa3 · outbound
Mitigating Visual Degradation in MLLMs via Spatial-Spectral Visual Anchor Learning Evaluating Object Hallucination in Large Vision-Language Models
Reference 23
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Observation d51b2a6c-967a-4056-94c4-047274a93f7e · outbound
Mitigating Visual Degradation in MLLMs via Spatial-Spectral Visual Anchor Learning Depth Anything 3: Recovering the Visual Space from Any Views
Reference 25
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Observation d19ed299-2527-42d2-a1e5-7bbb6a31b8b9 · outbound
Mitigating Visual Degradation in MLLMs via Spatial-Spectral Visual Anchor Learning SPHINX: The Joint Mixing of Weights, Tasks, and Visual Embeddings for Multi-modal Large Language Models
Reference 26
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Observation 338ac0d0-3396-4603-ac07-8d48497517ab · outbound
Mitigating Visual Degradation in MLLMs via Spatial-Spectral Visual Anchor Learning Unresolved cited work
Reference 28
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Observation 9c836d49-9359-4940-93ba-610794140d9b · outbound
Mitigating Visual Degradation in MLLMs via Spatial-Spectral Visual Anchor Learning Unresolved cited work
Reference 29
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Observation 4872d35d-2895-49a7-87aa-0703129e4ec0 · outbound
Mitigating Visual Degradation in MLLMs via Spatial-Spectral Visual Anchor Learning DeepSeek-VL: Towards Real-World Vision-Language Understanding
Reference 30
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Observation c621f11c-b09d-4ba2-9153-f9d45701f3e8 · outbound
Mitigating Visual Degradation in MLLMs via Spatial-Spectral Visual Anchor Learning DINOv2: Learning Robust Visual Features without Supervision
Reference 31
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Unavailable: canonical work link unavailable.
Observation 1d242530-9e7c-428f-bf66-b12ab8651103 · outbound
Mitigating Visual Degradation in MLLMs via Spatial-Spectral Visual Anchor Learning Bidirectional Prototype-Reward co-Evolution for Test-Time Adaptation of Vision-Language Models
Reference 32
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Observation 923c3540-74a9-4e62-8acc-04b5c39bf4a7 · outbound
Mitigating Visual Degradation in MLLMs via Spatial-Spectral Visual Anchor Learning 2025.Class-A ware Prototype Learning with Negative Contrast for Test-Time Adaptation of Vision-Language Models
Reference 33
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Observation c1a24e7f-ca37-44c5-aaa3-2ff4505debdc · outbound
Mitigating Visual Degradation in MLLMs via Spatial-Spectral Visual Anchor Learning Unresolved cited work
Reference 34
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Observation 47670324-4b97-4c58-ae8f-1a8cf8d99b94 · outbound
Mitigating Visual Degradation in MLLMs via Spatial-Spectral Visual Anchor Learning SAM 2: Segment Anything in Images and Videos
Reference 35
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Observation 49abcba5-801d-4ff5-a088-ac89af31c9ab · outbound
Mitigating Visual Degradation in MLLMs via Spatial-Spectral Visual Anchor Learning Eagle: Exploring The Design Space for Multimodal LLMs with Mixture of Encoders
Reference 36
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Observation 3296478f-c6af-41e9-8b84-5a5db73248f6 · outbound
Mitigating Visual Degradation in MLLMs via Spatial-Spectral Visual Anchor Learning DINOv3
Reference 37
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Observation d03f54d1-bb82-4ced-9acb-fc1bdbf6942e · outbound
Mitigating Visual Degradation in MLLMs via Spatial-Spectral Visual Anchor Learning EVA-CLIP: Improved Training Techniques for CLIP at Scale
Reference 38
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Observation 6c77af0c-747e-42dc-b848-627ee9cf924e · outbound
Mitigating Visual Degradation in MLLMs via Spatial-Spectral Visual Anchor Learning Kimi K2: Open Agentic Intelligence
Reference 39
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Observation 7416d642-e99f-4d6d-a36e-e6d99a734b60 · outbound
Mitigating Visual Degradation in MLLMs via Spatial-Spectral Visual Anchor Learning Unresolved cited work
Reference 40
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Observation 9a8fbc30-7b7a-4a48-9baa-cd9bc80176ce · outbound
Mitigating Visual Degradation in MLLMs via Spatial-Spectral Visual Anchor Learning Unresolved cited work
Reference 41
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Observation b8a4aa43-56d9-4f97-a82b-a01e93f38214 · outbound
Mitigating Visual Degradation in MLLMs via Spatial-Spectral Visual Anchor Learning LLaMA: Open and Efficient Foundation Language Models
Reference 42
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Observation 57fe104e-266e-4312-b144-ceee984e14f4 · outbound
Mitigating Visual Degradation in MLLMs via Spatial-Spectral Visual Anchor Learning SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features
Reference 43
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Observation faf847d0-07d0-4c63-ba6f-66f2744f8d26 · outbound
Mitigating Visual Degradation in MLLMs via Spatial-Spectral Visual Anchor Learning Reconstructive Visual Instruction Tuning
Reference 45
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Observation 51f42715-6559-43f6-a532-b04de1468418 · outbound
Mitigating Visual Degradation in MLLMs via Spatial-Spectral Visual Anchor Learning Stop Looking for Important Tokens in Multimodal Language Models: Duplication Matters More
Reference 46
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Observation 2547d169-cfce-4cc3-81f5-0c6aaebff641 · outbound
Mitigating Visual Degradation in MLLMs via Spatial-Spectral Visual Anchor Learning Qwen3 Technical Report
Reference 47
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Observation 9b444dfb-fa95-415c-b73c-c9f217471890 · outbound
Mitigating Visual Degradation in MLLMs via Spatial-Spectral Visual Anchor Learning Unresolved cited work
Reference 48
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Observation 0a8c1e7b-3ed6-4bf9-8854-bc4b81d88509 · outbound
Mitigating Visual Degradation in MLLMs via Spatial-Spectral Visual Anchor Learning 2026.Holo-World: Unified Camera, Object and Weather Control for Video World Model
Reference 49
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Observation 0367c7d9-a98a-44c1-9c0e-a7903022580e · outbound
Mitigating Visual Degradation in MLLMs via Spatial-Spectral Visual Anchor Learning 2025.Visual Representation Alignment for Multimodal Large Language Models
Reference 50
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Observation db43555a-3cc1-4100-86fd-a1e9da023427 · outbound
Mitigating Visual Degradation in MLLMs via Spatial-Spectral Visual Anchor Learning Introducing Visual Perception Token into Multimodal Large Language Model
Reference 51
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Observation 1f88e854-3dd7-4b90-a786-ac89bd15ff91 · outbound
Mitigating Visual Degradation in MLLMs via Spatial-Spectral Visual Anchor Learning 2024.Representation alignment for generation: Training diffusion transformers is easier than you think
Reference 52
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Observation 0a9b5cbe-0297-4743-80ae-cc5f2ef9f23f · outbound
Mitigating Visual Degradation in MLLMs via Spatial-Spectral Visual Anchor Learning When and why vision-language models behave like bags-of-words, and what to do about it?
Reference 53
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Observation 69911a32-ad63-410b-8658-42542f184227 · outbound
Mitigating Visual Degradation in MLLMs via Spatial-Spectral Visual Anchor Learning 2024.Instruct Large Language Models to Drive like Humans
Reference 54
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Observation 9627dfaf-ce87-432f-b033-0f930ea3dc2c · outbound
Mitigating Visual Degradation in MLLMs via Spatial-Spectral Visual Anchor Learning Unresolved cited work
Reference 55
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Observation 28a7fe01-cbb5-4b7b-b256-a68cb2097384 · outbound
Mitigating Visual Degradation in MLLMs via Spatial-Spectral Visual Anchor Learning ViewMask-1-to-3: Multi-View Consistent Image Generation via Multimodal Discrete Diffusion Models
Reference 56
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Observation cb58d612-29e8-4734-95b6-a344e8c145b0 · outbound
Mitigating Visual Degradation in MLLMs via Spatial-Spectral Visual Anchor Learning Unresolved cited work
Reference 2022
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Observation 0457d425-9d99-435f-97ea-37d3967ac439 · outbound
Mitigating Visual Degradation in MLLMs via Spatial-Spectral Visual Anchor Learning Unresolved cited work
Reference 2024
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Unavailable: canonical work link unavailable.
No inbound Pith citation observations are available.