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Mixed citations

arXiv preprint arXiv:2407.03502 , year=

Mixed citation behavior. Most common role is background (67%).

8 Pith papers citing it
Background 67% of classified citations

citation-role summary

background 4 method 1 other 1

citation-polarity summary

years

2026 4 2025 4

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representative citing papers

SkillGen: Verified Inference-Time Agent Skill Synthesis

cs.LG · 2026-05-09 · unverdicted · novelty 6.0

SkillGen synthesizes auditable skills from agent trajectories via contrastive induction on successes and failures, then verifies net performance impact by comparing outcomes with and without the skill on identical tasks.

Can RL Teach Long-Horizon Reasoning to LLMs? Expressiveness Is Key

cs.AI · 2026-05-07 · unverdicted · novelty 6.0 · 3 refs

RL training compute for logical reasoning follows a power law with horizon depth whose exponent rises with logical expressiveness, yielding better downstream transfer when models train on richer logics.

Kimi K2: Open Agentic Intelligence

cs.LG · 2025-07-28 · unverdicted · novelty 5.0

Kimi K2 is a 1-trillion-parameter MoE model that leads open-source non-thinking models on agentic benchmarks including 65.8 on SWE-Bench Verified and 66.1 on Tau2-Bench.

Phi-4-reasoning Technical Report

cs.AI · 2025-04-30 · unverdicted · novelty 4.0

A 14B reasoning model trained via supervised fine-tuning on selected prompts and o3-mini traces, plus outcome RL, outperforms larger open models like DeepSeek-R1-Distill-Llama-70B on math, coding, planning and related benchmarks.

Multi-Agent Collaboration Mechanisms: A Survey of LLMs

cs.AI · 2025-01-10 · unverdicted · novelty 4.0

The survey organizes LLM-based multi-agent collaboration mechanisms into a framework with dimensions of actors, types, structures, strategies, and coordination protocols, reviews applications across domains, and identifies challenges for future research.

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Showing 2 of 2 citing papers after filters.

  • SkillGen: Verified Inference-Time Agent Skill Synthesis cs.LG · 2026-05-09 · unverdicted · none · ref 8

    SkillGen synthesizes auditable skills from agent trajectories via contrastive induction on successes and failures, then verifies net performance impact by comparing outcomes with and without the skill on identical tasks.

  • Kimi K2: Open Agentic Intelligence cs.LG · 2025-07-28 · unverdicted · none · ref 55

    Kimi K2 is a 1-trillion-parameter MoE model that leads open-source non-thinking models on agentic benchmarks including 65.8 on SWE-Bench Verified and 66.1 on Tau2-Bench.