Towards AI-$45^{\circ}$ Law: A Roadmap to Trustworthy AGI | Paper Citation Record

Observation ab8e546e-e28e-4db1-a330-e76a9a2fc606 · outbound

This paper cites https://www.anthropic.com/news/anthropics-responsible-scaling- policy, 2023.

Towards AI-$45^{\circ}$ Law: A Roadmap to Trustworthy AGI https://www.anthropic.com/news/anthropics-responsible-scaling- policy, 2023

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This paper cites https://idais.ai/dialogue/idais- beijing/, 2024.

Towards AI-$45^{\circ}$ Law: A Roadmap to Trustworthy AGI https://idais.ai/dialogue/idais- beijing/, 2024

Reference 2

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Towards AI-$45^{\circ}$ Law: A Roadmap to Trustworthy AGI https://idais.ai/dialogue/idais-venice/, 2024

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This paper cites https://assets.anthropic.com/m/24a47b00f10301cd/original/Anthropic- Responsible-Scaling-Policy-2024-10-15.pdf, 2024.

Towards AI-$45^{\circ}$ Law: A Roadmap to Trustworthy AGI https://assets.anthropic.com/m/24a47b00f10301cd/original/Anthropic- Responsible-Scaling-Policy-2024-10-15.pdf, 2024

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Towards AI-$45^{\circ}$ Law: A Roadmap to Trustworthy AGI Current state of LLM Risks and AI Guardrails

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This paper cites Qwen Technical Report.

Towards AI-$45^{\circ}$ Law: A Roadmap to Trustworthy AGI Qwen Technical Report

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Towards AI-$45^{\circ}$ Law: A Roadmap to Trustworthy AGI Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 7

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Towards AI-$45^{\circ}$ Law: A Roadmap to Trustworthy AGI Constitutional AI: Harmlessness from AI Feedback

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Towards AI-$45^{\circ}$ Law: A Roadmap to Trustworthy AGI Managing extreme ai risks amid rapid progress

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Towards AI-$45^{\circ}$ Law: A Roadmap to Trustworthy AGI Mechanistic Interpretability for AI Safety -- A Review

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Towards AI-$45^{\circ}$ Law: A Roadmap to Trustworthy AGI Diverse and effective red teaming with auto-generated rewards and multi-step reinforcement learning

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Towards AI-$45^{\circ}$ Law: A Roadmap to Trustworthy AGI Measuring Progress on Scalable Oversight for Large Language Models

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Towards AI-$45^{\circ}$ Law: A Roadmap to Trustworthy AGI Language Models are Few-Shot Learners

Reference 13

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Towards AI-$45^{\circ}$ Law: A Roadmap to Trustworthy AGI The Malicious Use of Artificial Intelligence: Forecasting, Prevention, and Mitigation

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Towards AI-$45^{\circ}$ Law: A Roadmap to Trustworthy AGI Weak-to-Strong Generalization: Eliciting Strong Capabilities With Weak Supervision

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Towards AI-$45^{\circ}$ Law: A Roadmap to Trustworthy AGI InternLM2 Technical Report

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Towards AI-$45^{\circ}$ Law: A Roadmap to Trustworthy AGI Extracting training data from large language models

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Towards AI-$45^{\circ}$ Law: A Roadmap to Trustworthy AGI Is Power-Seeking AI an Existential Risk?

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Towards AI-$45^{\circ}$ Law: A Roadmap to Trustworthy AGI Quantifying and mitigating unimodal biases in multimodal large language models: A causal perspective

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Towards AI-$45^{\circ}$ Law: A Roadmap to Trustworthy AGI Cello: Causal evaluation of large vision- language models

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Towards AI-$45^{\circ}$ Law: A Roadmap to Trustworthy AGI From Imitation to Introspection: Probing Self-Consciousness in Language Models

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Towards AI-$45^{\circ}$ Law: A Roadmap to Trustworthy AGI Internvl: Scaling up vision foundation models and aligning for generic visual-linguistic tasks

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Towards AI-$45^{\circ}$ Law: A Roadmap to Trustworthy AGI Feder Cooper, Christopher A

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Towards AI-$45^{\circ}$ Law: A Roadmap to Trustworthy AGI Towards Guaranteed Safe AI: A Framework for Ensuring Robust and Reliable AI Systems

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Towards AI-$45^{\circ}$ Law: A Roadmap to Trustworthy AGI Arti- ficial intelligence regulation: a framework for governance

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Towards AI-$45^{\circ}$ Law: A Roadmap to Trustworthy AGI Fine-Tuning Pretrained Language Models: Weight Initializations, Data Orders, and Early Stopping

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Towards AI-$45^{\circ}$ Law: A Roadmap to Trustworthy AGI InternLM-XComposer2: Mastering Free-form Text-Image Composition and Comprehension in Vision-Language Large Model

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Towards AI-$45^{\circ}$ Law: A Roadmap to Trustworthy AGI Attacks, Defenses and Evaluations for LLM Conversation Safety: A Survey

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Towards AI-$45^{\circ}$ Law: A Roadmap to Trustworthy AGI CLEAR: Character Unlearning in Textual and Visual Modalities

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Towards AI-$45^{\circ}$ Law: A Roadmap to Trustworthy AGI The Llama 3 Herd of Models

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Towards AI-$45^{\circ}$ Law: A Roadmap to Trustworthy AGI Who's Harry Potter? Approximate Unlearning in LLMs

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Towards AI-$45^{\circ}$ Law: A Roadmap to Trustworthy AGI Statement on ai risk, 2024

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Towards AI-$45^{\circ}$ Law: A Roadmap to Trustworthy AGI Counterintuitive behavior of social systems

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Towards AI-$45^{\circ}$ Law: A Roadmap to Trustworthy AGI Artificial intelligence, values, and alignment

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Towards AI-$45^{\circ}$ Law: A Roadmap to Trustworthy AGI Mental models

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Towards AI-$45^{\circ}$ Law: A Roadmap to Trustworthy AGI Mllmguard: A multi-dimensional safety evaluation suite for multimodal large language models, 2024

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Towards AI-$45^{\circ}$ Law: A Roadmap to Trustworthy AGI Recurrent world models facilitate policy evolution

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Towards AI-$45^{\circ}$ Law: A Roadmap to Trustworthy AGI An Overview of Catastrophic AI Risks

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Towards AI-$45^{\circ}$ Law: A Roadmap to Trustworthy AGI Stabilizing translucencies: Governing ai transparency by standardization

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Towards AI-$45^{\circ}$ Law: A Roadmap to Trustworthy AGI Curiosity-driven Red-teaming for Large Language Models

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Towards AI-$45^{\circ}$ Law: A Roadmap to Trustworthy AGI Flames: Benchmarking Value Alignment of LLMs in Chinese

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Towards AI-$45^{\circ}$ Law: A Roadmap to Trustworthy AGI From pixels to principles: A decade of progress and landscape in trustworthy computer vision

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Towards AI-$45^{\circ}$ Law: A Roadmap to Trustworthy AGI TrustLLM: Trustworthiness in Large Language Models

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Towards AI-$45^{\circ}$ Law: A Roadmap to Trustworthy AGI When code isn’t law: rethinking regulation for artificial intelligence

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Towards AI-$45^{\circ}$ Law: A Roadmap to Trustworthy AGI Scaling Laws for Neural Language Models

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Towards AI-$45^{\circ}$ Law: A Roadmap to Trustworthy AGI Aligning Large Language Models with Representation Editing: A Control Perspective

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Towards AI-$45^{\circ}$ Law: A Roadmap to Trustworthy AGI Evaluations: autonomy and artificial intelligence: a threat or savior? Springer, 2017

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Towards AI-$45^{\circ}$ Law: A Roadmap to Trustworthy AGI Learning to watermark llm-generated text via rein- forcement learning

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Towards AI-$45^{\circ}$ Law: A Roadmap to Trustworthy AGI Deepfakes, phrenology, surveillance, and more! a taxonomy of ai privacy risks

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Towards AI-$45^{\circ}$ Law: A Roadmap to Trustworthy AGI Trustworthy ai: From principles to practices

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Towards AI-$45^{\circ}$ Law: A Roadmap to Trustworthy AGI Inference- time intervention: Eliciting truthful answers from a language model

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Towards AI-$45^{\circ}$ Law: A Roadmap to Trustworthy AGI SALAD-Bench: A Hierarchical and Comprehensive Safety Benchmark for Large Language Models

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Towards AI-$45^{\circ}$ Law: A Roadmap to Trustworthy AGI Controllable Text Generation for Large Language Models: A Survey

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Towards AI-$45^{\circ}$ Law: A Roadmap to Trustworthy AGI A survey of text watermarking in the era of large language models

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Towards AI-$45^{\circ}$ Law: A Roadmap to Trustworthy AGI Don’t always say no to me: Benchmarking safety-related refusal in large vlm

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This paper cites Mm-safetybench: A benchmark for safety evaluation of multimodal large language models.

Towards AI-$45^{\circ}$ Law: A Roadmap to Trustworthy AGI Mm-safetybench: A benchmark for safety evaluation of multimodal large language models

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Towards AI-$45^{\circ}$ Law: A Roadmap to Trustworthy AGI MM-SafetyBench: A Benchmark for Safety Evaluation of Multimodal Large Language Models

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This paper cites Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment.

Towards AI-$45^{\circ}$ Law: A Roadmap to Trustworthy AGI Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment

Reference 58

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Observation 05e04c1e-0eae-4277-8747-463fc9acd83c · outbound

This paper cites Machine Unlearning in Generative AI: A Survey.

Towards AI-$45^{\circ}$ Law: A Roadmap to Trustworthy AGI Machine Unlearning in Generative AI: A Survey

Reference 59

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Observation 23e6973a-ccf5-44ce-9459-5c0cec0f506e · outbound

This paper cites Inference-Time Language Model Alignment via Integrated Value Guidance.

Towards AI-$45^{\circ}$ Law: A Roadmap to Trustworthy AGI Inference-Time Language Model Alignment via Integrated Value Guidance

Reference 60

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Observation f31435b5-8348-4a73-8175-d677027295e4 · outbound

This paper cites Causal interpretability for machine learning-problems, methods and evaluation.

Towards AI-$45^{\circ}$ Law: A Roadmap to Trustworthy AGI Causal interpretability for machine learning-problems, methods and evaluation

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:13:08.607577Z

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Observation 55a5e382-a4d6-405a-a976-34a5494ab796 · outbound

This paper cites Large Language Models in Cybersecurity: State-of-the-Art.

Towards AI-$45^{\circ}$ Law: A Roadmap to Trustworthy AGI Large Language Models in Cybersecurity: State-of-the-Art

Reference 62

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Observation 7be1af07-4abb-4b01-a920-0ab8dbe4f85d · outbound

This paper cites Rule Based Rewards for Language Model Safety.

Towards AI-$45^{\circ}$ Law: A Roadmap to Trustworthy AGI Rule Based Rewards for Language Model Safety

Reference 63

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Observation 524aa9ec-29a2-45c5-a1c0-3a4c0dd07805 · outbound

This paper cites Accountability in artificial intelligence: what it is and how it works.

Towards AI-$45^{\circ}$ Law: A Roadmap to Trustworthy AGI Accountability in artificial intelligence: what it is and how it works

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:13:08.595072Z

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Observation 195be6b6-8310-443f-ae8f-c415c63e20a0 · outbound

This paper cites UniGuard: Towards Universal Safety Guardrails for Jailbreak Attacks on Multimodal Large Language Models.

Towards AI-$45^{\circ}$ Law: A Roadmap to Trustworthy AGI UniGuard: Towards Universal Safety Guardrails for Jailbreak Attacks on Multimodal Large Language Models

Reference 65

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Observation 676e3913-809f-4b4b-9c04-dc6baecc17a9 · outbound

This paper cites GPT-4 technical report.

Towards AI-$45^{\circ}$ Law: A Roadmap to Trustworthy AGI GPT-4 technical report

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:13:08.583305Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c75a379a-39c4-4b3f-921f-36f0185ce1e3 · outbound

This paper cites Openai o1 system card, 2024.

Towards AI-$45^{\circ}$ Law: A Roadmap to Trustworthy AGI Openai o1 system card, 2024

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:13:08.570786Z

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Observation c3837409-4563-4be1-a293-d69f35d01da3 · outbound

This paper cites Video generation models as world simulators, 2024.

Towards AI-$45^{\circ}$ Law: A Roadmap to Trustworthy AGI Video generation models as world simulators, 2024

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:13:08.557339Z

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Observation 17ad1dea-471c-480c-bb83-b909736bb710 · outbound

This paper cites Training language models to follow instructions with human feedback.

Towards AI-$45^{\circ}$ Law: A Roadmap to Trustworthy AGI Training language models to follow instructions with human feedback

Reference 69

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Observation 60f9a0a0-f821-48ab-9bf8-86c3c2de378c · outbound

This paper cites A ‘biased’emerging governance regime for artificial intelligence? how ai ethics get skewed moving from principles to practices.

Towards AI-$45^{\circ}$ Law: A Roadmap to Trustworthy AGI A ‘biased’emerging governance regime for artificial intelligence? how ai ethics get skewed moving from principles to practices

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:13:08.536361Z

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Observation b3aed9a6-5a73-4d0f-83ed-d4ab18aae8be · outbound

This paper cites Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies.

Towards AI-$45^{\circ}$ Law: A Roadmap to Trustworthy AGI Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies

Reference 71

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Observation e19c3bd3-579c-4dab-a6c1-ee7d5237ce5c · outbound

This paper cites Automated Red Teaming with GOAT: the Generative Offensive Agent Tester.

Towards AI-$45^{\circ}$ Law: A Roadmap to Trustworthy AGI Automated Red Teaming with GOAT: the Generative Offensive Agent Tester

Reference 72

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Observation f16bb05c-2e1e-434b-85ec-fc4e2aa33710 · outbound

This paper cites Causality.

Towards AI-$45^{\circ}$ Law: A Roadmap to Trustworthy AGI Causality

Reference 73

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Observation c8f76e6e-35a8-417c-97d3-025aaf4dc9f2 · outbound

This paper cites The book of why: the new science of cause and effect.

Towards AI-$45^{\circ}$ Law: A Roadmap to Trustworthy AGI The book of why: the new science of cause and effect

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-11T20:13:07.383771Z

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Observation 769713d2-1ffc-4ad1-acfa-1bd846349a73 · outbound

This paper cites Red Teaming Language Models with Language Models.

Towards AI-$45^{\circ}$ Law: A Roadmap to Trustworthy AGI Red Teaming Language Models with Language Models

Reference 75

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Observation 39e9f853-911d-49f4-b09d-55b6d9e1dc19 · outbound

This paper cites The Tug of War Within: Mitigating the Fairness-Privacy Conflicts in Large Language Models.

Towards AI-$45^{\circ}$ Law: A Roadmap to Trustworthy AGI The Tug of War Within: Mitigating the Fairness-Privacy Conflicts in Large Language Models

Reference 76

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Observation d15e6ae2-5b79-456d-a11f-6de72e10181c · outbound

This paper cites Towards Tracing Trustworthiness Dynamics: Revisiting Pre-training Period of Large Language Models.

Towards AI-$45^{\circ}$ Law: A Roadmap to Trustworthy AGI Towards Tracing Trustworthiness Dynamics: Revisiting Pre-training Period of Large Language Models

Reference 77

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Observation 49771c48-993c-4447-9870-c923c6743ed1 · outbound

This paper cites Direct preference optimization: Your language model is secretly a reward model.

Towards AI-$45^{\circ}$ Law: A Roadmap to Trustworthy AGI Direct preference optimization: Your language model is secretly a reward model

Reference 78

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Observation 151fcb9d-a2b4-4a70-aac3-00df20dfe079 · outbound

This paper cites Natural language processing: transform- ing how machines understand human language (2023).

Towards AI-$45^{\circ}$ Law: A Roadmap to Trustworthy AGI Natural language processing: transform- ing how machines understand human language (2023)

Reference 79

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Observation ca19857c-496d-4e75-8bdd-b225bedc72f2 · outbound

This paper cites Identifying Semantic Induction Heads to Understand In-Context Learning.

Towards AI-$45^{\circ}$ Law: A Roadmap to Trustworthy AGI Identifying Semantic Induction Heads to Understand In-Context Learning

Reference 80

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Observation 7a9bea55-8d9c-4049-b80a-02e9a47ebd29 · outbound

This paper cites Self-Reflection in LLM Agents: Effects on Problem-Solving Performance.

Towards AI-$45^{\circ}$ Law: A Roadmap to Trustworthy AGI Self-Reflection in LLM Agents: Effects on Problem-Solving Performance

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-11T20:13:07.420105Z

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Observation 6680b5c9-4332-47e4-902b-d10b72e4bf9e · outbound

This paper cites Scaling Laws for Deep Learning.

Towards AI-$45^{\circ}$ Law: A Roadmap to Trustworthy AGI Scaling Laws for Deep Learning

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-11T20:13:07.424428Z

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Observation 3efea1a6-9bdf-44c0-941e-e8f650ae0132 · outbound

This paper cites Re- flexion: Language agents with verbal reinforcement learning.

Towards AI-$45^{\circ}$ Law: A Roadmap to Trustworthy AGI Re- flexion: Language agents with verbal reinforcement learning

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:13:08.499348Z

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Observation 34d9f7ab-1a35-413c-a767-d6663dfcc92e · outbound

This paper cites Learning to summarize with human feedback.

Towards AI-$45^{\circ}$ Law: A Roadmap to Trustworthy AGI Learning to summarize with human feedback

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-11T20:13:07.432980Z

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Observation 23e56d77-ca8f-4a3e-9fd0-98470ed9e8fb · outbound

This paper cites Reinforcement learning: An introduction.

Towards AI-$45^{\circ}$ Law: A Roadmap to Trustworthy AGI Reinforcement learning: An introduction

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:13:08.479236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 6c44c11f-f240-4c30-97ce-93b98df58aeb · outbound

This paper cites CAT-LLM: Style-enhanced Large Language Models with Text Style Definition for Chinese Article-style Transfer.

Towards AI-$45^{\circ}$ Law: A Roadmap to Trustworthy AGI CAT-LLM: Style-enhanced Large Language Models with Text Style Definition for Chinese Article-style Transfer

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-11T20:13:07.441487Z

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Observation 17f9e657-7e39-4324-8e44-f4fc91b14386 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Towards AI-$45^{\circ}$ Law: A Roadmap to Trustworthy AGI Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-11T20:13:07.445719Z

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Observation bc986fd7-fa04-4f3f-82bf-ac25556e8fea · outbound

This paper cites Value sensitive design and responsible innovation.

Towards AI-$45^{\circ}$ Law: A Roadmap to Trustworthy AGI Value sensitive design and responsible innovation

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:13:08.466864Z

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Observation 35940662-954e-4a70-849f-92b532d02452 · outbound

This paper cites Interpretable counterfactual explanations guided by prototypes.

Towards AI-$45^{\circ}$ Law: A Roadmap to Trustworthy AGI Interpretable counterfactual explanations guided by prototypes

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:13:08.451322Z

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Observation 02a5e747-6ba4-4c50-939a-b2944992cd86 · outbound

This paper cites Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review.

Towards AI-$45^{\circ}$ Law: A Roadmap to Trustworthy AGI Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review

Reference 91

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Observation 5b9ca466-f652-46ac-9542-edbe4183b4a4 · outbound

This paper cites Decodingtrust: A comprehensive assess- ment of trustworthiness in gpt models.

Towards AI-$45^{\circ}$ Law: A Roadmap to Trustworthy AGI Decodingtrust: A comprehensive assess- ment of trustworthiness in gpt models

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:13:08.438694Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 1d89373d-94c2-434b-af8d-6d18ed66cf22 · outbound

This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.

Towards AI-$45^{\circ}$ Law: A Roadmap to Trustworthy AGI Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-11T20:13:07.471308Z

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Observation 318432f9-31a9-43b0-a95a-fa2b0538aa85 · outbound

This paper cites Emu3: Next-Token Prediction is All You Need.

Towards AI-$45^{\circ}$ Law: A Roadmap to Trustworthy AGI Emu3: Next-Token Prediction is All You Need

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-11T20:13:07.476190Z

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Observation 44223556-8486-4980-a048-5f8035dd494e · outbound

This paper cites ai safety as global public goods.

Towards AI-$45^{\circ}$ Law: A Roadmap to Trustworthy AGI ai safety as global public goods

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:13:08.425087Z

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Observation 7337fddf-e43e-412b-aca7-f4f38d81bc88 · outbound

This paper cites Using the veil of ignorance to align ai systems with principles of justice.

Towards AI-$45^{\circ}$ Law: A Roadmap to Trustworthy AGI Using the veil of ignorance to align ai systems with principles of justice

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-11T20:13:07.484432Z

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Observation 44874b7e-63ac-4ab6-acb2-0fa4c39cdb27 · outbound

This paper cites EFUF: Efficient Fine-grained Unlearning Framework for Mitigating Hallucinations in Multimodal Large Language Models.

Towards AI-$45^{\circ}$ Law: A Roadmap to Trustworthy AGI EFUF: Efficient Fine-grained Unlearning Framework for Mitigating Hallucinations in Multimodal Large Language Models

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-11T20:13:07.488518Z

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Observation 30b9adf3-ae9b-40a8-a187-bc28328e9873 · outbound

This paper cites Qwen2 Technical Report.

Towards AI-$45^{\circ}$ Law: A Roadmap to Trustworthy AGI Qwen2 Technical Report

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-11T20:13:07.494182Z

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Observation 79bcf0b3-c09a-4a53-a88e-4b5bb5af8f4a · outbound

This paper cites Huref: Human-readable fingerprint for large language models.

Towards AI-$45^{\circ}$ Law: A Roadmap to Trustworthy AGI Huref: Human-readable fingerprint for large language models

Reference 99

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:13:08.402605Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f62cc241-170d-4d78-bebe-41903a85de1f · outbound

This paper cites The Better Angels of Machine Personality: How Personality Relates to LLM Safety.

Towards AI-$45^{\circ}$ Law: A Roadmap to Trustworthy AGI The Better Angels of Machine Personality: How Personality Relates to LLM Safety

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-11T20:13:07.503044Z

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Observation 0ed64c77-9407-45b1-9320-5ba6919573f3 · outbound

This paper cites REEF: Representation Encoding Fingerprints for Large Language Models.

Towards AI-$45^{\circ}$ Law: A Roadmap to Trustworthy AGI REEF: Representation Encoding Fingerprints for Large Language Models

Reference 101

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