Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T19:14:07.491267Z
Paper Citation Record · LEDGER
As of 7 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 5 inbound Pith citation observations for arXiv:2507.06167.
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 2026-08-06T19:14:07.491267Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T23:03:09.720243Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T20:56:13.424447Z
54 of 54 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 5a21e844-221b-4cb9-a9d1-bda25d4c04e3 · outbound
Skywork-R1V3 Technical Report Claude-3.7, 2024
Reference 1
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Skywork-R1V3 Technical Report Are We on the Right Way for Evaluating Large Vision-Language Models?
Reference 2
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Skywork-R1V3 Technical Report The Entropy Mechanism of Reinforcement Learning for Reasoning Language Models
Reference 3
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Observation 3bf6ea7b-ac95-4af9-bc94-4c9057da9a18 · outbound
Skywork-R1V3 Technical Report Gemini 2.5: Our most intelligent ai modeld
Reference 4
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Reference 5
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Observation e500dfc5-5d10-494b-b80e-c0c4f3624769 · outbound
Skywork-R1V3 Technical Report DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
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Skywork-R1V3 Technical Report Vlmevalkit: An open-source toolkit for evaluating large multi-modality models
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Observation d1c9e39c-da3b-451e-b3c2-7c06538b096d · outbound
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Observation dcd0d7d7-88c3-4693-991b-bd6d15889fd1 · outbound
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Reference 16
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Skywork-R1V3 Technical Report MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts
Reference 17
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Reference 19
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Reference 20
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Reference 21
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Reference 22
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Reference 23
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Skywork-R1V3 Technical Report Proximal Policy Optimization Algorithms
Reference 24
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Reference 25
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Skywork-R1V3 Technical Report PhyX: Does Your Model Have the "Wits" for Physical Reasoning?
Reference 26
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Reference 27
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Reference 28
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Observation da0421c2-987f-488d-90db-8b42b926f40e · outbound
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Reference 29
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Reference 30
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Skywork-R1V3 Technical Report LLaMA: Open and Efficient Foundation Language Models
Reference 31
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Reference 32
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Observation 9a4d746d-7b67-4691-91f0-b60bb38d31a4 · outbound
Skywork-R1V3 Technical Report Wait, We Don't Need to "Wait"! Removing Thinking Tokens Improves Reasoning Efficiency
Reference 33
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Observation 37c69bd4-167e-4749-ae2e-08166d75dcbc · outbound
Skywork-R1V3 Technical Report Skywork R1V2: Multimodal Hybrid Reinforcement Learning for Reasoning
Reference 34
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Skywork-R1V3 Technical Report Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution
Reference 35
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Skywork-R1V3 Technical Report Beyond the 80/20 Rule: High-Entropy Minority Tokens Drive Effective Reinforcement Learning for LLM Reasoning
Reference 36
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Skywork-R1V3 Technical Report Chain-of-thought prompting elicits reasoning in large language models
Reference 38
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Reference 39
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Reference 40
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Skywork-R1V3 Technical Report VisuLogic: A Benchmark for Evaluating Visual Reasoning in Multi-modal Large Language Models
Reference 41
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Reference 42
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Skywork-R1V3 Technical Report DAPO: An Open-Source LLM Reinforcement Learning System at Scale
Reference 43
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Reference 44
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Skywork-R1V3 Technical Report Mmmu: A massive multi-discipline multimodal understanding and reasoning benchmark for expert agi
Reference 45
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Reference 46
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Skywork-R1V3 Technical Report Are Unified Vision-Language Models Necessary: Generalization Across Understanding and Generation
Reference 47
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Skywork-R1V3 Technical Report MathVerse: Does Your Multi-modal LLM Truly See the Diagrams in Visual Math Problems?
Reference 48
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Skywork-R1V3 Technical Report FireEdit: Fine-grained Instruction-based Image Editing via Region-aware Vision Language Model
Reference 49
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Skywork-R1V3 Technical Report @esa (Ref
Reference 52
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Skywork-R1V3 Technical Report Unresolved cited work
Reference 53
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Reference 110
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Reference 43
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Reference 73
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