Reasoner for Real-World Event Detection: Scaling Reinforcement Learning via Adaptive Perplexity-Aware Sampling Strategy | Paper Citation Record

Observation 31a208ec-737b-4732-823d-902ac8dc57a8 · outbound

This paper cites Back to Basics: Revisiting REINFORCE Style Optimization for Learning from Human Feedback in LLMs.

Reasoner for Real-World Event Detection: Scaling Reinforcement Learning via Adaptive Perplexity-Aware Sampling Strategy Back to Basics: Revisiting REINFORCE Style Optimization for Learning from Human Feedback in LLMs

Reference 1

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Observation 5f9e17e1-3cc5-483a-b922-d22bd53228f7 · outbound

This paper cites o3-mini vs DeepSeek-R1: Which One is Safer?.

Reasoner for Real-World Event Detection: Scaling Reinforcement Learning via Adaptive Perplexity-Aware Sampling Strategy o3-mini vs DeepSeek-R1: Which One is Safer?

Reference 2

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Observation 14b9f2ce-14ee-4cf7-a291-fb1d8309115d · outbound

This paper cites Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback.

Reasoner for Real-World Event Detection: Scaling Reinforcement Learning via Adaptive Perplexity-Aware Sampling Strategy Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback

Reference 3

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Reasoner for Real-World Event Detection: Scaling Reinforcement Learning via Adaptive Perplexity-Aware Sampling Strategy Unresolved cited work

Reference 4

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Observation 023fce87-47f5-49f7-8100-39b5698eaf4c · outbound

This paper cites M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation.

Reasoner for Real-World Event Detection: Scaling Reinforcement Learning via Adaptive Perplexity-Aware Sampling Strategy M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation

Reference 5

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Reasoner for Real-World Event Detection: Scaling Reinforcement Learning via Adaptive Perplexity-Aware Sampling Strategy Unresolved cited work

Reference 6

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This paper cites SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training.

Reasoner for Real-World Event Detection: Scaling Reinforcement Learning via Adaptive Perplexity-Aware Sampling Strategy SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training

Reference 7

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This paper cites an unresolved cited work.

Reasoner for Real-World Event Detection: Scaling Reinforcement Learning via Adaptive Perplexity-Aware Sampling Strategy Unresolved cited work

Reference 8

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Observation c657feba-84a2-4a22-8038-9a9c4d28439b · outbound

This paper cites an unresolved cited work.

Reasoner for Real-World Event Detection: Scaling Reinforcement Learning via Adaptive Perplexity-Aware Sampling Strategy Unresolved cited work

Reference 9

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Observation b4835359-7fc4-40df-b9fd-6224fa5dd951 · outbound

This paper cites an unresolved cited work.

Reasoner for Real-World Event Detection: Scaling Reinforcement Learning via Adaptive Perplexity-Aware Sampling Strategy Unresolved cited work

Reference 10

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Observation 2c2ad01c-1d6e-4ccf-abb3-9329f1992d0e · outbound

This paper cites Token-Hungry, Yet Precise: DeepSeek R1 Highlights the Need for Multi-Step Reasoning Over Speed in MATH.

Reasoner for Real-World Event Detection: Scaling Reinforcement Learning via Adaptive Perplexity-Aware Sampling Strategy Token-Hungry, Yet Precise: DeepSeek R1 Highlights the Need for Multi-Step Reasoning Over Speed in MATH

Reference 11

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Reasoner for Real-World Event Detection: Scaling Reinforcement Learning via Adaptive Perplexity-Aware Sampling Strategy Unresolved cited work

Reference 12

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Observation e57f1145-b8fc-42c4-bed9-231ca0008c03 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Reasoner for Real-World Event Detection: Scaling Reinforcement Learning via Adaptive Perplexity-Aware Sampling Strategy DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 14

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Observation 8878cbaa-47b4-4a76-80a2-7262b7f49da0 · outbound

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Reasoner for Real-World Event Detection: Scaling Reinforcement Learning via Adaptive Perplexity-Aware Sampling Strategy Unresolved cited work

Reference 15

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Observation dd28b2ec-b78f-4368-bd84-ba7e374f707d · outbound

This paper cites REINFORCE++: Stabilizing Critic-Free Policy Optimization with Global Advantage Normalization.

Reasoner for Real-World Event Detection: Scaling Reinforcement Learning via Adaptive Perplexity-Aware Sampling Strategy REINFORCE++: Stabilizing Critic-Free Policy Optimization with Global Advantage Normalization

Reference 16

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Observation 9c259246-689b-4490-928f-5ad5de36cd71 · outbound

This paper cites OpenAI o1 System Card.

Reasoner for Real-World Event Detection: Scaling Reinforcement Learning via Adaptive Perplexity-Aware Sampling Strategy OpenAI o1 System Card

Reference 17

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Observation b7e29413-02af-4dc8-8d42-a5e0a05c3671 · outbound

This paper cites Scaling Laws for Neural Language Models.

Reasoner for Real-World Event Detection: Scaling Reinforcement Learning via Adaptive Perplexity-Aware Sampling Strategy Scaling Laws for Neural Language Models

Reference 18

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Observation f43a6cd5-3164-47a8-a521-720e6188e685 · outbound

This paper cites Gonzalez, Hao Zhang, and Ion Stoica.

Reasoner for Real-World Event Detection: Scaling Reinforcement Learning via Adaptive Perplexity-Aware Sampling Strategy Gonzalez, Hao Zhang, and Ion Stoica

Reference 19

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Reasoner for Real-World Event Detection: Scaling Reinforcement Learning via Adaptive Perplexity-Aware Sampling Strategy Unresolved cited work

Reference 20

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Observation 3b8e6642-fd7f-4db2-babd-ce61d14f1753 · outbound

This paper cites Towards General Text Embeddings with Multi-stage Contrastive Learning.

Reasoner for Real-World Event Detection: Scaling Reinforcement Learning via Adaptive Perplexity-Aware Sampling Strategy Towards General Text Embeddings with Multi-stage Contrastive Learning

Reference 21

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Observation 6cb29d71-2aa2-4135-8315-01a3eedbb761 · outbound

This paper cites ReMax: A Simple, Effective, and Efficient Reinforcement Learning Method for Aligning Large Language Models.

Reasoner for Real-World Event Detection: Scaling Reinforcement Learning via Adaptive Perplexity-Aware Sampling Strategy ReMax: A Simple, Effective, and Efficient Reinforcement Learning Method for Aligning Large Language Models

Reference 22

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Observation a3d2dc45-2930-4ced-9b96-f57ef3b601f6 · outbound

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Reasoner for Real-World Event Detection: Scaling Reinforcement Learning via Adaptive Perplexity-Aware Sampling Strategy Unresolved cited work

Reference 23

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Observation 806618c4-0cc6-4a35-9b9a-34319bb0c842 · outbound

This paper cites Understanding R1-Zero-Like Training: A Critical Perspective.

Reasoner for Real-World Event Detection: Scaling Reinforcement Learning via Adaptive Perplexity-Aware Sampling Strategy Understanding R1-Zero-Like Training: A Critical Perspective

Reference 24

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Observation 7586d958-0dc2-4586-9fd6-44af33d8ac51 · outbound

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Reasoner for Real-World Event Detection: Scaling Reinforcement Learning via Adaptive Perplexity-Aware Sampling Strategy Unresolved cited work

Reference 25

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Observation 07392453-e916-4d8d-8ef8-bc9b199f4f63 · outbound

This paper cites Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?.

Reasoner for Real-World Event Detection: Scaling Reinforcement Learning via Adaptive Perplexity-Aware Sampling Strategy Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?

Reference 26

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Reasoner for Real-World Event Detection: Scaling Reinforcement Learning via Adaptive Perplexity-Aware Sampling Strategy Unresolved cited work

Reference 27

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Observation b96b7442-c81b-4c59-80d4-041fdf07e4dd · outbound

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Reasoner for Real-World Event Detection: Scaling Reinforcement Learning via Adaptive Perplexity-Aware Sampling Strategy Unresolved cited work

Reference 28

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Reasoner for Real-World Event Detection: Scaling Reinforcement Learning via Adaptive Perplexity-Aware Sampling Strategy Unresolved cited work

Reference 29

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Observation ceacf498-c68d-439d-9547-2842c0e27f5d · outbound

This paper cites GPT-4 Technical Report.

Reasoner for Real-World Event Detection: Scaling Reinforcement Learning via Adaptive Perplexity-Aware Sampling Strategy GPT-4 Technical Report

Reference 30

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Reasoner for Real-World Event Detection: Scaling Reinforcement Learning via Adaptive Perplexity-Aware Sampling Strategy Unresolved cited work

Reference 31

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Observation 04ea2fdc-426e-4521-8c9c-92d6778a9918 · outbound

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Reasoner for Real-World Event Detection: Scaling Reinforcement Learning via Adaptive Perplexity-Aware Sampling Strategy Unresolved cited work

Reference 32

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Reasoner for Real-World Event Detection: Scaling Reinforcement Learning via Adaptive Perplexity-Aware Sampling Strategy Multi-class Text Classification using BERT-based Active Learning

Reference 33

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Reasoner for Real-World Event Detection: Scaling Reinforcement Learning via Adaptive Perplexity-Aware Sampling Strategy Unresolved cited work

Reference 34

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Reasoner for Real-World Event Detection: Scaling Reinforcement Learning via Adaptive Perplexity-Aware Sampling Strategy Qwen2.5 Technical Report

Reference 35

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Reasoner for Real-World Event Detection: Scaling Reinforcement Learning via Adaptive Perplexity-Aware Sampling Strategy Unresolved cited work

Reference 36

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Reasoner for Real-World Event Detection: Scaling Reinforcement Learning via Adaptive Perplexity-Aware Sampling Strategy Unresolved cited work

Reference 37

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Reasoner for Real-World Event Detection: Scaling Reinforcement Learning via Adaptive Perplexity-Aware Sampling Strategy Ray Interference: a Source of Plateaus in Deep Reinforcement Learning

Reference 38

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Observation 7b522326-3a75-4857-915a-6ccf1c508f45 · outbound

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Reasoner for Real-World Event Detection: Scaling Reinforcement Learning via Adaptive Perplexity-Aware Sampling Strategy Proximal Policy Optimization Algorithms

Reference 39

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Reasoner for Real-World Event Detection: Scaling Reinforcement Learning via Adaptive Perplexity-Aware Sampling Strategy DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 41

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Reasoner for Real-World Event Detection: Scaling Reinforcement Learning via Adaptive Perplexity-Aware Sampling Strategy HybridFlow: A Flexible and Efficient RLHF Framework

Reference 42

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Reasoner for Real-World Event Detection: Scaling Reinforcement Learning via Adaptive Perplexity-Aware Sampling Strategy Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism

Reference 43

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Reasoner for Real-World Event Detection: Scaling Reinforcement Learning via Adaptive Perplexity-Aware Sampling Strategy Unresolved cited work

Reference 44

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Reasoner for Real-World Event Detection: Scaling Reinforcement Learning via Adaptive Perplexity-Aware Sampling Strategy Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters

Reference 45

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Observation 9e72aea4-7d5f-474f-be6f-67a07e0a119e · outbound

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Reasoner for Real-World Event Detection: Scaling Reinforcement Learning via Adaptive Perplexity-Aware Sampling Strategy Fine-tuned vs. Prompt-tuned Supervised Representations: Which Better Account for Brain Language Representations?

Reference 46

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Observation 8a02cf4b-ebfd-4335-aac8-44d35fa87c26 · outbound

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Reasoner for Real-World Event Detection: Scaling Reinforcement Learning via Adaptive Perplexity-Aware Sampling Strategy Kimi k1.5: Scaling Reinforcement Learning with LLMs

Reference 47

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Observation df9f09b6-8183-466e-98d8-68bd965f2c22 · outbound

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Reasoner for Real-World Event Detection: Scaling Reinforcement Learning via Adaptive Perplexity-Aware Sampling Strategy LLaMA: Open and Efficient Foundation Language Models

Reference 48

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Observation 33e7ef3a-5699-49e0-8229-fa15229b2143 · outbound

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Reasoner for Real-World Event Detection: Scaling Reinforcement Learning via Adaptive Perplexity-Aware Sampling Strategy ChatGPT Empowered Long-Step Robot Control in Various Environments: A Case Application

Reference 49

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Observation 5765637a-d77e-4077-9058-a0f4022bc6d1 · outbound

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Reasoner for Real-World Event Detection: Scaling Reinforcement Learning via Adaptive Perplexity-Aware Sampling Strategy Finetuned Language Models Are Zero-Shot Learners

Reference 50

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Observation 8e8d32ef-5428-4420-81a6-7d0ec150fb46 · outbound

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Reasoner for Real-World Event Detection: Scaling Reinforcement Learning via Adaptive Perplexity-Aware Sampling Strategy Unresolved cited work

Reference 51

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Observation dd18e72e-1c9a-4bbb-92b7-fee9f47c2141 · outbound

This paper cites an unresolved cited work.

Reasoner for Real-World Event Detection: Scaling Reinforcement Learning via Adaptive Perplexity-Aware Sampling Strategy Unresolved cited work

Reference 52

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Observation 20842445-d568-402d-b50f-703292704157 · outbound

This paper cites Logic-RL: Unleashing LLM Reasoning with Rule-Based Reinforcement Learning.

Reasoner for Real-World Event Detection: Scaling Reinforcement Learning via Adaptive Perplexity-Aware Sampling Strategy Logic-RL: Unleashing LLM Reasoning with Rule-Based Reinforcement Learning

Reference 53

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Reasoner for Real-World Event Detection: Scaling Reinforcement Learning via Adaptive Perplexity-Aware Sampling Strategy Unresolved cited work

Reference 54

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Observation 777fff92-f2f1-415f-9946-188530af05c8 · outbound

This paper cites an unresolved cited work.

Reasoner for Real-World Event Detection: Scaling Reinforcement Learning via Adaptive Perplexity-Aware Sampling Strategy Unresolved cited work

Reference 55

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Observation c1c42d31-9ed7-48d7-8c42-8cefef7bf7ad · outbound

This paper cites DAPO: An Open-Source LLM Reinforcement Learning System at Scale.

Reasoner for Real-World Event Detection: Scaling Reinforcement Learning via Adaptive Perplexity-Aware Sampling Strategy DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Reference 56

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Observation 1bb0e20d-945b-41d7-a4a4-30fc039d6810 · outbound

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Reasoner for Real-World Event Detection: Scaling Reinforcement Learning via Adaptive Perplexity-Aware Sampling Strategy Unresolved cited work

Reference 57

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Source-reported events for the cited work

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Observation 48d27688-5e9e-45c2-a2d9-51bd55bfa345 · outbound

This paper cites VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks.

Reasoner for Real-World Event Detection: Scaling Reinforcement Learning via Adaptive Perplexity-Aware Sampling Strategy VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

Reference 58

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 71613651-96da-44e0-bf60-01d6a1a7ebf9 · outbound

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Reasoner for Real-World Event Detection: Scaling Reinforcement Learning via Adaptive Perplexity-Aware Sampling Strategy 100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-06T21:02:38.860058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0df93c6-3af7-4ce3-ad93-beb0d070b678 · outbound

This paper cites an unresolved cited work.

Reasoner for Real-World Event Detection: Scaling Reinforcement Learning via Adaptive Perplexity-Aware Sampling Strategy Unresolved cited work

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-06T21:02:38.864617Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c168912-83aa-46d6-94cc-af00a997d0dd · outbound

This paper cites Least-to-Most Prompting Enables Complex Reasoning in Large Language Models.

Reasoner for Real-World Event Detection: Scaling Reinforcement Learning via Adaptive Perplexity-Aware Sampling Strategy Least-to-Most Prompting Enables Complex Reasoning in Large Language Models

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-06T21:02:38.868488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0586836-fa80-412a-920f-13e07fa9f098 · outbound

This paper cites an unresolved cited work.

Reasoner for Real-World Event Detection: Scaling Reinforcement Learning via Adaptive Perplexity-Aware Sampling Strategy Unresolved cited work

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-06T21:02:38.873273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 656c26ef-ca14-4248-8233-0421db02e172 · outbound

This paper cites an unresolved cited work.

Reasoner for Real-World Event Detection: Scaling Reinforcement Learning via Adaptive Perplexity-Aware Sampling Strategy Unresolved cited work

Reference 63

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:02:39.942268Z

Source-reported events for the cited work

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Observation 1d90440a-2dd7-43ce-8ece-082d594f8f6d · outbound

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Reasoner for Real-World Event Detection: Scaling Reinforcement Learning via Adaptive Perplexity-Aware Sampling Strategy online" 'onlinestring :=

Reference 64

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Source-reported events for the cited work

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Observation 16f3e57d-a978-4b96-9d35-2180688f1449 · outbound

This paper cites write newline.

Reasoner for Real-World Event Detection: Scaling Reinforcement Learning via Adaptive Perplexity-Aware Sampling Strategy write newline

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-06T21:02:38.886258Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers