Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T13:49:12.726438Z
Paper Citation Record · LEDGER
As of 16 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 0 inbound Pith citation observations for arXiv:2412.12785.
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 2026-08-11T13:49:12.726438Z
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
55 of 55 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 30dafc38-5698-47ba-861e-a3d4b6a6d292 · outbound
Activating Distributed Visual Region within LLMs for Efficient and Effective Vision-Language Training and Inference Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone
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Activating Distributed Visual Region within LLMs for Efficient and Effective Vision-Language Training and Inference Pixtral 12B
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Observation f8d863e5-31e8-4fbb-ba08-e12de5c8d28f · outbound
Activating Distributed Visual Region within LLMs for Efficient and Effective Vision-Language Training and Inference Unresolved cited work
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Observation 5b739907-2177-4be3-85e3-1ca207bce131 · outbound
Activating Distributed Visual Region within LLMs for Efficient and Effective Vision-Language Training and Inference Instruction-tuning Aligns LLMs to the Human Brain
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Observation 5d3c4080-6f69-44e8-b950-68cb61252533 · outbound
Activating Distributed Visual Region within LLMs for Efficient and Effective Vision-Language Training and Inference Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond
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Observation 3897803f-e8a5-4599-a3d4-8c7c3fda1810 · outbound
Activating Distributed Visual Region within LLMs for Efficient and Effective Vision-Language Training and Inference Gonzalez, Ion Stoica, and Eric P
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Observation e8f0a5e0-2ac1-4733-a094-a03959af333b · outbound
Activating Distributed Visual Region within LLMs for Efficient and Effective Vision-Language Training and Inference Scaling Instruction-Finetuned Language Models
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Observation 984ae898-8d5f-4e89-8a49-d2fb1136202d · outbound
Activating Distributed Visual Region within LLMs for Efficient and Effective Vision-Language Training and Inference NVLM: Open Frontier-Class Multimodal LLMs
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Activating Distributed Visual Region within LLMs for Efficient and Effective Vision-Language Training and Inference LLM.int8(): 8-bit Matrix Multiplication for Transformers at Scale
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Observation ba6240a8-0d55-46c9-8906-9e06da886432 · outbound
Activating Distributed Visual Region within LLMs for Efficient and Effective Vision-Language Training and Inference Unresolved cited work
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Activating Distributed Visual Region within LLMs for Efficient and Effective Vision-Language Training and Inference Unresolved cited work
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Observation e19d8ab1-2a35-48d4-9e15-6635f91b5d5d · outbound
Activating Distributed Visual Region within LLMs for Efficient and Effective Vision-Language Training and Inference Unresolved cited work
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Observation 61d2e163-3061-4c61-9434-e4f00b91d069 · outbound
Activating Distributed Visual Region within LLMs for Efficient and Effective Vision-Language Training and Inference MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models
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Activating Distributed Visual Region within LLMs for Efficient and Effective Vision-Language Training and Inference Unresolved cited work
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Observation ef3f6ddd-44de-47ef-9c4f-1773a4919fa7 · outbound
Activating Distributed Visual Region within LLMs for Efficient and Effective Vision-Language Training and Inference The Unreasonable Ineffectiveness of the Deeper Layers
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Observation d25ff837-5e1c-4d99-b73a-745f915868a2 · outbound
Activating Distributed Visual Region within LLMs for Efficient and Effective Vision-Language Training and Inference Efficient Multimodal Learning from Data-centric Perspective
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Observation ebd90f6a-0d99-4f41-8c8c-96d4fe042ced · outbound
Activating Distributed Visual Region within LLMs for Efficient and Effective Vision-Language Training and Inference Measuring Massive Multitask Language Understanding
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Observation 67449164-b1d3-45cf-aed3-2bd187592686 · outbound
Activating Distributed Visual Region within LLMs for Efficient and Effective Vision-Language Training and Inference LoRA: Low-Rank Adaptation of Large Language Models
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Observation 2049e8bb-92fb-42b5-8b4e-f3193ec7d4c4 · outbound
Activating Distributed Visual Region within LLMs for Efficient and Effective Vision-Language Training and Inference Unresolved cited work
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Observation 82f36fa2-8fdb-4bfc-827d-411b1228aa1c · outbound
Activating Distributed Visual Region within LLMs for Efficient and Effective Vision-Language Training and Inference Unresolved cited work
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Observation cfebaabd-31a1-4045-b6e8-acec8a4806f4 · outbound
Activating Distributed Visual Region within LLMs for Efficient and Effective Vision-Language Training and Inference Guiding Long-Short Term Memory for Image Caption Generation
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Observation af17f1f0-4773-4a54-834d-c63ecb0351fd · outbound
Activating Distributed Visual Region within LLMs for Efficient and Effective Vision-Language Training and Inference Unresolved cited work
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Observation 67d42a24-64d2-4170-af4b-4d4636a22795 · outbound
Activating Distributed Visual Region within LLMs for Efficient and Effective Vision-Language Training and Inference Unresolved cited work
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Observation e7b5cce5-2c07-4f38-8ce0-cac3cdad171b · outbound
Activating Distributed Visual Region within LLMs for Efficient and Effective Vision-Language Training and Inference Unresolved cited work
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Activating Distributed Visual Region within LLMs for Efficient and Effective Vision-Language Training and Inference Unresolved cited work
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Observation bfcaf7f4-a43b-4c26-8dd0-6d8a5f9e365f · outbound
Activating Distributed Visual Region within LLMs for Efficient and Effective Vision-Language Training and Inference SEED-Bench: Benchmarking Multimodal LLMs with Generative Comprehension
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Observation 6b670da1-4c78-466b-b2af-d42a8ef2651c · outbound
Activating Distributed Visual Region within LLMs for Efficient and Effective Vision-Language Training and Inference CMMLU: Measuring massive multitask language understanding in Chinese
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Activating Distributed Visual Region within LLMs for Efficient and Effective Vision-Language Training and Inference Memory, Consciousness and Large Language Model
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Activating Distributed Visual Region within LLMs for Efficient and Effective Vision-Language Training and Inference BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models
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Observation f0f8a40c-b2d1-4186-b27e-25292bc2c429 · outbound
Activating Distributed Visual Region within LLMs for Efficient and Effective Vision-Language Training and Inference Unresolved cited work
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Activating Distributed Visual Region within LLMs for Efficient and Effective Vision-Language Training and Inference Unresolved cited work
Reference 31
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Observation 532e239a-3a5b-431a-917c-c4a7223c468b · outbound
Activating Distributed Visual Region within LLMs for Efficient and Effective Vision-Language Training and Inference Visual Instruction Tuning
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Observation a82acbf8-6328-4b48-a7ad-fc1af14e9c5f · outbound
Activating Distributed Visual Region within LLMs for Efficient and Effective Vision-Language Training and Inference Unresolved cited work
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Observation c4c4e5fb-58fd-4258-a6be-16e5f25c3705 · outbound
Activating Distributed Visual Region within LLMs for Efficient and Effective Vision-Language Training and Inference MMBench: Is Your Multi-modal Model an All-around Player?
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Observation 4d18f721-55d3-47d0-a0e8-8def415af60a · outbound
Activating Distributed Visual Region within LLMs for Efficient and Effective Vision-Language Training and Inference Unresolved cited work
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Activating Distributed Visual Region within LLMs for Efficient and Effective Vision-Language Training and Inference Unresolved cited work
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Observation 1f2d560a-ad07-426b-8240-0bd4fee3ec93 · outbound
Activating Distributed Visual Region within LLMs for Efficient and Effective Vision-Language Training and Inference DocVQA: A Dataset for VQA on Document Images
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Observation db714d2b-df18-42f4-96fa-9e02fd55f5a7 · outbound
Activating Distributed Visual Region within LLMs for Efficient and Effective Vision-Language Training and Inference ShortGPT: Layers in Large Language Models are More Redundant Than You Expect
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Observation 83a5a9d4-d96f-494c-887b-373656c12c85 · outbound
Activating Distributed Visual Region within LLMs for Efficient and Effective Vision-Language Training and Inference Unresolved cited work
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Observation 135c30d9-87cf-42e6-9649-c5297ddb757c · outbound
Activating Distributed Visual Region within LLMs for Efficient and Effective Vision-Language Training and Inference LISA: Layerwise Importance Sampling for Memory-Efficient Large Language Model Fine-Tuning
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Observation 1c97ac9c-bbd0-48e9-bbad-b7b44291b47b · outbound
Activating Distributed Visual Region within LLMs for Efficient and Effective Vision-Language Training and Inference Unresolved cited work
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Activating Distributed Visual Region within LLMs for Efficient and Effective Vision-Language Training and Inference Unresolved cited work
Reference 42
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Observation 866fce5a-9e21-4217-9e6f-4046ba7aa88f · outbound
Activating Distributed Visual Region within LLMs for Efficient and Effective Vision-Language Training and Inference Unresolved cited work
Reference 43
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Observation bb619b33-7315-48c9-baeb-8f9a99d883b3 · outbound
Activating Distributed Visual Region within LLMs for Efficient and Effective Vision-Language Training and Inference Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them
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Observation ae69f534-24a2-41b9-9bb1-d6520b4cc5cc · outbound
Activating Distributed Visual Region within LLMs for Efficient and Effective Vision-Language Training and Inference Llama 2: Open Foundation and Fine-Tuned Chat Models
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Observation d588d747-f2ed-4412-9b5d-8d80e6892a0c · outbound
Activating Distributed Visual Region within LLMs for Efficient and Effective Vision-Language Training and Inference Unresolved cited work
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Observation 6719ebad-f486-4356-8271-7251361ade04 · outbound
Activating Distributed Visual Region within LLMs for Efficient and Effective Vision-Language Training and Inference Unresolved cited work
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Activating Distributed Visual Region within LLMs for Efficient and Effective Vision-Language Training and Inference Unresolved cited work
Reference 48
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Observation 5bbfc489-cd8f-4a6c-a86b-f871d31fd3e4 · outbound
Activating Distributed Visual Region within LLMs for Efficient and Effective Vision-Language Training and Inference Unresolved cited work
Reference 49
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Observation 30400fe2-9e9f-4f8f-bab2-c7e20573f388 · outbound
Activating Distributed Visual Region within LLMs for Efficient and Effective Vision-Language Training and Inference Unresolved cited work
Reference 50
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Observation f2978c7d-ae49-47e5-a77a-ecc46e1b1ae4 · outbound
Activating Distributed Visual Region within LLMs for Efficient and Effective Vision-Language Training and Inference Unresolved cited work
Reference 51
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Observation 2a4a57c3-34d7-4413-b11c-50abaa7e0c9b · outbound
Activating Distributed Visual Region within LLMs for Efficient and Effective Vision-Language Training and Inference Unveiling A Core Linguistic Region in Large Language Models
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Observation 01a3e858-e87f-478d-8810-5f63688c3809 · outbound
Activating Distributed Visual Region within LLMs for Efficient and Effective Vision-Language Training and Inference MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models
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Observation a4b98ea2-1189-4621-8ac5-237e9bc6d4be · outbound
Activating Distributed Visual Region within LLMs for Efficient and Effective Vision-Language Training and Inference online" 'onlinestring :=
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Observation 03af33a5-817a-400f-ac68-a68d2b4760f6 · outbound
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