Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-20T18:10:08.737710Z
Paper Citation Record · LEDGER
The Scaling Laws of Skills in LLM Agent Systems
As of 15 August 2026, this Paper Citation Record lists 90 of 90 outbound references and 2 inbound Pith citation observations for arXiv:2605.16508.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-01T23:04:12.409948Z
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
90 of 90 outbound references displayed
- verified exact36
- verified fuzzy38
- unresolved12
- parse uncertain0
- malformed identifier1
- metadata mismatch3
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 086ee6ce-ff99-4d97-bc83-0abd09e1803f · outbound
This paper cites A survey on large language model based autonomous agents.Frontiers of Computer Science, 18(6):186345.
The Scaling Laws of Skills in LLM Agent Systems A survey on large language model based autonomous agents.Frontiers of Computer Science, 18(6):186345
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T18:13:38.190139Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation abe466a0-6ff7-44b0-b3ee-0f4272ea2695 · outbound
This paper cites Llm-based agents for tool learning: A survey.Data Science and Engineering.
The Scaling Laws of Skills in LLM Agent Systems Llm-based agents for tool learning: A survey.Data Science and Engineering
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T18:13:38.245004Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 78afe9d4-8717-428e-a66b-15fe61a9b6d8 · outbound
This paper cites Survey on Evaluation of LLM-based Agents.
The Scaling Laws of Skills in LLM Agent Systems Survey on Evaluation of LLM-based Agents
Reference 3
- Resolution
- verified exact
- local_arxiv, observed 2026-05-20T18:13:37.663969Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 86f48876-50e5-4cff-b170-0b0dc1747511 · outbound
This paper cites Toolformer: Language models can teach themselves to use tools.
The Scaling Laws of Skills in LLM Agent Systems Toolformer: Language models can teach themselves to use tools
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T18:13:38.307101Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 5ef10311-38bd-459e-95ed-fb1d1ab8968c · outbound
This paper cites ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs.
The Scaling Laws of Skills in LLM Agent Systems ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs
Reference 5
- Resolution
- verified exact
- local_arxiv, observed 2026-05-20T18:13:37.656732Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 14b7ce0d-9ae0-4890-b3a1-de9b526baf26 · outbound
This paper cites Gorilla: Large Language Model Connected with Massive APIs.
The Scaling Laws of Skills in LLM Agent Systems Gorilla: Large Language Model Connected with Massive APIs
Reference 6
- Resolution
- verified exact
- local_arxiv, observed 2026-05-20T18:13:37.565097Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 6c47fd8d-faee-444e-8d3f-da9f3b66d61f · outbound
This paper cites API-Bank: A Comprehensive Benchmark for Tool-Augmented LLMs.
The Scaling Laws of Skills in LLM Agent Systems API-Bank: A Comprehensive Benchmark for Tool-Augmented LLMs
Reference 7
- Resolution
- verified exact
- local_arxiv, observed 2026-05-20T18:13:37.648430Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation ba5974ba-b04f-4dc3-92ec-390f9993e4d4 · outbound
This paper cites TaskBench: Benchmarking Large Language Models for Task Automation.
The Scaling Laws of Skills in LLM Agent Systems TaskBench: Benchmarking Large Language Models for Task Automation
Reference 8
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-20T18:13:37.585700Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 29efb6f4-009e-44cc-aa79-de12ee4cadf8 · outbound
This paper cites SkillsBench: Benchmarking How Well Agent Skills Work Across Diverse Tasks.
The Scaling Laws of Skills in LLM Agent Systems SkillsBench: Benchmarking How Well Agent Skills Work Across Diverse Tasks
Reference 9
- Resolution
- verified exact
- local_arxiv, observed 2026-05-20T18:13:37.611028Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 184c67a8-1d2d-4784-b614-418db3778f0e · outbound
This paper cites SkillRouter: Skill Routing for LLM Agents at Scale.
The Scaling Laws of Skills in LLM Agent Systems SkillRouter: Skill Routing for LLM Agents at Scale
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-07-21T02:21:33.547916Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 0f296bff-16ee-4244-b22e-70a0502e151f · outbound
This paper cites Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models.
The Scaling Laws of Skills in LLM Agent Systems Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models
Reference 11
- Resolution
- verified exact
- local_arxiv, observed 2026-05-20T18:13:37.582017Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 3f4468cb-6236-49e1-8623-da83a4b65232 · outbound
This paper cites AI4Research: A Survey of Artificial Intelligence for Scientific Research.
The Scaling Laws of Skills in LLM Agent Systems AI4Research: A Survey of Artificial Intelligence for Scientific Research
Reference 12
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-20T18:13:37.629993Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation d717f805-c881-4bdf-812b-29608f94e23c · outbound
This paper cites A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence.
The Scaling Laws of Skills in LLM Agent Systems A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence
Reference 13
- Resolution
- verified exact
- local_arxiv, observed 2026-05-20T18:13:37.660326Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 99626512-9bdd-434a-8b4f-86492da096ab · outbound
This paper cites Agent Skills for Large Language Models: Architecture, Acquisition, Security, and the Path Forward.
The Scaling Laws of Skills in LLM Agent Systems Agent Skills for Large Language Models: Architecture, Acquisition, Security, and the Path Forward
Reference 14
- Resolution
- verified exact
- local_arxiv, observed 2026-05-20T18:13:37.623312Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 02ddc2c7-5774-4d2c-9204-2efd240ec33b · outbound
This paper cites ToolAlpaca: Generalized Tool Learning for Language Models with 3000 Simulated Cases.
The Scaling Laws of Skills in LLM Agent Systems ToolAlpaca: Generalized Tool Learning for Language Models with 3000 Simulated Cases
Reference 15
- Resolution
- verified exact
- local_arxiv, observed 2026-05-20T18:13:37.614372Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 198895a7-6067-4064-bb95-c8445a178843 · outbound
This paper cites OpenAgents: An Open Platform for Language Agents in the Wild.
The Scaling Laws of Skills in LLM Agent Systems OpenAgents: An Open Platform for Language Agents in the Wild
Reference 16
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T18:13:37.589261Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 895cdbad-1a46-4161-8799-dafbe8381c36 · outbound
This paper cites AgentBench: Evaluating LLMs as Agents.
The Scaling Laws of Skills in LLM Agent Systems AgentBench: Evaluating LLMs as Agents
Reference 17
- Resolution
- verified exact
- local_arxiv, observed 2026-05-20T18:13:37.653968Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 684a6776-819c-41d8-b0e1-8815fd6f8932 · outbound
This paper cites SoK: Agentic Skills -- Beyond Tool Use in LLM Agents.
The Scaling Laws of Skills in LLM Agent Systems SoK: Agentic Skills -- Beyond Tool Use in LLM Agents
Reference 18
- Resolution
- verified exact
- local_arxiv, observed 2026-05-20T18:13:37.617718Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 2fc5809e-1e62-4e1d-98c9-c1437ec70499 · outbound
This paper cites ComplexFuncBench: Exploring Multi-Step and Constrained Function Calling under Long-Context Scenario.
The Scaling Laws of Skills in LLM Agent Systems ComplexFuncBench: Exploring Multi-Step and Constrained Function Calling under Long-Context Scenario
Reference 19
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T18:13:37.604607Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation d840394f-0ef3-4aeb-9d12-5f45863a08c9 · outbound
This paper cites BiasBusters: Uncovering and mitigating tool selection bias in large language models.
The Scaling Laws of Skills in LLM Agent Systems BiasBusters: Uncovering and mitigating tool selection bias in large language models
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T18:13:38.232635Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 4bb0b22e-062d-4b84-8d74-03a8fb5a8bdb · outbound
This paper cites xRouter: Training cost-aware LLMs orchestration system via reinforcement learning.
The Scaling Laws of Skills in LLM Agent Systems xRouter: Training cost-aware LLMs orchestration system via reinforcement learning
Reference 21
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T18:13:37.592545Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 2f5bf26c-c4ae-45e2-958c-9f440d63d918 · outbound
This paper cites EvoRoute: Experience-driven self-routing LLM agent systems.
The Scaling Laws of Skills in LLM Agent Systems EvoRoute: Experience-driven self-routing LLM agent systems
Reference 22
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T18:13:37.595724Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 1ecc9216-24d2-4289-813c-e07338043a54 · outbound
This paper cites Autotool: Efficient tool selection for large language model agents.
The Scaling Laws of Skills in LLM Agent Systems Autotool: Efficient tool selection for large language model agents
Reference 23
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T18:13:37.558550Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation b858b10f-5f6b-4602-914c-796b297b939f · outbound
This paper cites Meta- toolagent: Towards generalizable tool usage in llms through meta-learning.
The Scaling Laws of Skills in LLM Agent Systems Meta- toolagent: Towards generalizable tool usage in llms through meta-learning
Reference 24
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T18:13:37.601673Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation d20aaca6-7409-4b70-b84d-d4f5f3789a3a · outbound
This paper cites ReAct: Synergizing reasoning and acting in language models.
The Scaling Laws of Skills in LLM Agent Systems ReAct: Synergizing reasoning and acting in language models
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T18:13:38.247147Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 789429eb-5914-4e19-bb43-51cce8facaf1 · outbound
This paper cites Plan-and-solve prompting: Improving zero-shot chain-of-thought reasoning by large language models.
The Scaling Laws of Skills in LLM Agent Systems Plan-and-solve prompting: Improving zero-shot chain-of-thought reasoning by large language models
Reference 26
- Resolution
- verified exact
- doi, observed 2026-05-20T18:13:37.089564Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 07649ac1-5d7c-4286-8996-b488f1925fc8 · outbound
This paper cites Reflexion: Language Agents with Verbal Reinforcement Learning.
The Scaling Laws of Skills in LLM Agent Systems Reflexion: Language Agents with Verbal Reinforcement Learning
Reference 27
- Resolution
- verified exact
- local_arxiv, observed 2026-05-20T18:13:37.651300Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 457a730f-24ca-452d-b02a-896fbceab62c · outbound
This paper cites HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face.
The Scaling Laws of Skills in LLM Agent Systems HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face
Reference 28
- Resolution
- verified exact
- local_arxiv, observed 2026-05-20T18:13:37.633626Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation f1f33f56-91ca-480d-b172-09c6962f4dd1 · outbound
This paper cites MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework.
The Scaling Laws of Skills in LLM Agent Systems MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework
Reference 29
- Resolution
- verified exact
- local_arxiv, observed 2026-05-20T18:13:37.572049Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 7cdb49c2-661a-4d66-b7cd-4b241dfe02f5 · outbound
This paper cites Voyager: An Open-Ended Embodied Agent with Large Language Models.
The Scaling Laws of Skills in LLM Agent Systems Voyager: An Open-Ended Embodied Agent with Large Language Models
Reference 30
- Resolution
- verified exact
- local_arxiv, observed 2026-05-20T18:13:37.645812Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 42700f14-ab5b-497a-95be-078776e5d02b · outbound
This paper cites TaskWeaver: A Code-First Agent Framework.
The Scaling Laws of Skills in LLM Agent Systems TaskWeaver: A Code-First Agent Framework
Reference 31
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T18:13:37.561727Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 310ebe67-b272-46ba-a4de-a4da00752f82 · outbound
This paper cites MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback.
The Scaling Laws of Skills in LLM Agent Systems MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback
Reference 32
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T18:13:37.568810Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation f2c3f68d-2ea1-487c-9076-26900b9fb1f8 · outbound
This paper cites AnyTool: Self-Reflective, Hierarchical Agents for Large-Scale API Calls.
The Scaling Laws of Skills in LLM Agent Systems AnyTool: Self-Reflective, Hierarchical Agents for Large-Scale API Calls
Reference 33
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T18:13:37.636657Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 83459fa1-372a-4927-952a-000830629ab0 · outbound
This paper cites Evaluation and Benchmarking of LLM Agents: A Survey.
The Scaling Laws of Skills in LLM Agent Systems Evaluation and Benchmarking of LLM Agents: A Survey
Reference 34
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T18:13:37.607891Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation fc932d3b-c710-4349-88c7-e513da7f760b · outbound
This paper cites Scaling Laws for Neural Language Models.
The Scaling Laws of Skills in LLM Agent Systems Scaling Laws for Neural Language Models
Reference 35
- Resolution
- verified exact
- local_arxiv, observed 2026-05-20T18:13:37.620143Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 15ce077f-a45d-4547-987a-f19ff33177ad · outbound
This paper cites Training Compute-Optimal Large Language Models.
The Scaling Laws of Skills in LLM Agent Systems Training Compute-Optimal Large Language Models
Reference 36
- Resolution
- verified exact
- local_arxiv, observed 2026-05-20T18:13:37.554400Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 74f716e2-c62b-4f3a-9b15-75c628b4a8bf · outbound
This paper cites Emergent abilities of large language models.Transactions on Machine Learning Research.
The Scaling Laws of Skills in LLM Agent Systems Emergent abilities of large language models.Transactions on Machine Learning Research
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T18:13:38.242491Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation de746de4-bb58-4061-94f4-06fdc71e5905 · outbound
This paper cites Chatterji, Sharan Narang, Mike Lewis, and Dieuwke Hupkes.
The Scaling Laws of Skills in LLM Agent Systems Chatterji, Sharan Narang, Mike Lewis, and Dieuwke Hupkes
Reference 38
- Resolution
- verified exact
- doi, observed 2026-05-20T18:13:37.083004Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation d369ce13-6fc6-4972-a411-e516dcbd093f · outbound
This paper cites Scaling laws for educational AI agents.
The Scaling Laws of Skills in LLM Agent Systems Scaling laws for educational AI agents
Reference 39
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T18:13:37.598661Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation b1a94159-c4d0-4ffd-93f6-104ebf28ff1e · outbound
This paper cites Dense passage retrieval for open-domain question answering.
The Scaling Laws of Skills in LLM Agent Systems Dense passage retrieval for open-domain question answering
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T18:13:38.240609Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation f1d344b9-d06e-41cb-a80d-1fd9dee40865 · outbound
This paper cites Retrieval-augmented generation for knowledge- intensive NLP tasks.
The Scaling Laws of Skills in LLM Agent Systems Retrieval-augmented generation for knowledge- intensive NLP tasks
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T18:13:38.246227Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 623f91e8-aa85-4a1e-8c7b-d7d4ab34aed5 · outbound
This paper cites Sentence-BERT: Sentence embeddings using siamese BERT-networks.
The Scaling Laws of Skills in LLM Agent Systems Sentence-BERT: Sentence embeddings using siamese BERT-networks
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T18:13:38.232935Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 6babd043-5653-4fc4-82ad-9f81d777b3dc · outbound
This paper cites MTEB: Massive text embedding benchmark.
The Scaling Laws of Skills in LLM Agent Systems MTEB: Massive text embedding benchmark
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T18:13:38.230736Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 85e7fcab-81eb-48fd-901d-18349d0b4dfc · outbound
This paper cites an unresolved cited work.
The Scaling Laws of Skills in LLM Agent Systems Unresolved cited work
Reference 44
- Resolution
- unresolved
- raw_fallback, observed 2026-05-20T18:13:38.248575Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation de0bb1ca-fa05-4b2b-8f5f-ee215a147414 · outbound
This paper cites Stimulus information as a determinant of reaction time.Journal of Experimental Psychology, 45 (3):188–196.
The Scaling Laws of Skills in LLM Agent Systems Stimulus information as a determinant of reaction time.Journal of Experimental Psychology, 45 (3):188–196
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T18:13:38.253362Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation ad4f22ab-c08d-4694-aa1c-719cf0734ea8 · outbound
This paper cites Github - anthropics/skills: Public repository for agent skills.
The Scaling Laws of Skills in LLM Agent Systems Github - anthropics/skills: Public repository for agent skills
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T18:13:38.257862Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 1f5318dd-30e4-4db9-8941-316b6cc2536a · outbound
This paper cites Claude code.
The Scaling Laws of Skills in LLM Agent Systems Claude code
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T18:13:38.250749Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation abf0e788-d4ee-454f-8444-a3de8399d5ea · outbound
This paper cites Introducing the model context protocol.
The Scaling Laws of Skills in LLM Agent Systems Introducing the model context protocol
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T18:13:38.221149Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation e8c64544-c4cd-4803-bbb7-3067e8b0b6e1 · outbound
This paper cites Github - trailofbits/skills: Trail of bits claude code skills for security research, vulnerability detection, and audit workflows.https://github.com/trailofbits/skills.
The Scaling Laws of Skills in LLM Agent Systems Github - trailofbits/skills: Trail of bits claude code skills for security research, vulnerability detection, and audit workflows.https://github.com/trailofbits/skills
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T18:13:38.243888Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 50bc34b6-e824-4d98-a0c8-ba3637ff9c04 · outbound
This paper cites Claude code skills marketplace.
The Scaling Laws of Skills in LLM Agent Systems Claude code skills marketplace
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T18:13:38.235760Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation bb6ddbdb-08f5-45ff-b564-038926f53e60 · outbound
This paper cites NET skills for claude code.
The Scaling Laws of Skills in LLM Agent Systems NET skills for claude code
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T18:13:38.216437Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 24958d9a-5956-44da-88dd-fa604ff36986 · outbound
This paper cites PinchBench github organization.
The Scaling Laws of Skills in LLM Agent Systems PinchBench github organization
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T18:13:38.260225Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 9fb99964-a71d-4b50-8cc8-63f9e052b153 · outbound
This paper cites Agentdeals.https://github.com/robhunter/agentdeals.
The Scaling Laws of Skills in LLM Agent Systems Agentdeals.https://github.com/robhunter/agentdeals
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T18:13:38.265567Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation a5f69340-c7f3-41d2-b18d-8e903bb65f94 · outbound
This paper cites Unveiling the achilles’ heel of NLG evaluators: A unified adversarial framework driven by large language models.
The Scaling Laws of Skills in LLM Agent Systems Unveiling the achilles’ heel of NLG evaluators: A unified adversarial framework driven by large language models
Reference 54
- Resolution
- metadata mismatch
- doi, observed 2026-05-20T18:13:37.085168Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 9e6a24c5-3ac4-480e-8783-365692c34df5 · outbound
This paper cites an unresolved cited work.
The Scaling Laws of Skills in LLM Agent Systems Unresolved cited work
Reference 55
- Resolution
- unresolved
- raw_fallback, observed 2026-05-20T18:13:38.268127Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 27abc1ab-56ef-4fc6-9416-469e0595125f · outbound
This paper cites Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces.
The Scaling Laws of Skills in LLM Agent Systems Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
Reference 56
- Resolution
- verified exact
- local_arxiv, observed 2026-05-20T18:13:37.642484Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation db4e3367-6b44-43cd-ab34-54ed1b4356bd · outbound
This paper cites $\tau$-bench: A Benchmark for Tool-Agent-User Interaction in Real-World Domains.
The Scaling Laws of Skills in LLM Agent Systems $\tau$-bench: A Benchmark for Tool-Agent-User Interaction in Real-World Domains
Reference 57
- Resolution
- verified exact
- local_arxiv, observed 2026-05-20T18:13:37.575455Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 88f97489-e255-4f18-8959-5dbf5adf40a3 · outbound
This paper cites $\tau^2$-Bench: Evaluating Conversational Agents in a Dual-Control Environment.
The Scaling Laws of Skills in LLM Agent Systems $\tau^2$-Bench: Evaluating Conversational Agents in a Dual-Control Environment
Reference 58
- Resolution
- verified exact
- local_arxiv, observed 2026-05-20T18:13:37.639254Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 8b6a9c28-a446-4e9c-884d-9b397b83e473 · outbound
This paper cites Flow- Bench: Revisiting and benchmarking workflow-guided planning for LLM-based agents.
The Scaling Laws of Skills in LLM Agent Systems Flow- Bench: Revisiting and benchmarking workflow-guided planning for LLM-based agents
Reference 59
- Resolution
- verified exact
- doi, observed 2026-05-20T18:13:37.087183Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation a5ff57a2-6007-4cf6-aec0-a410502dbad7 · outbound
This paper cites Gpt-4o mini: advancing cost-efficient intelligence.
The Scaling Laws of Skills in LLM Agent Systems Gpt-4o mini: advancing cost-efficient intelligence
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T18:13:38.194716Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation d486fc9c-3629-4037-a51a-0af627bc7bc0 · outbound
This paper cites Gpt-5 system card.
The Scaling Laws of Skills in LLM Agent Systems Gpt-5 system card
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T18:13:38.211485Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation f191868c-a939-4d99-a75f-5ef4f32e4f88 · outbound
This paper cites Introducing gpt-5.4 mini and nano.
The Scaling Laws of Skills in LLM Agent Systems Introducing gpt-5.4 mini and nano
Reference 62
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T18:13:38.203739Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 08d93b34-b314-496e-bbe7-a736490dea98 · outbound
This paper cites Introducing gpt-5.4.https://openai.com/index/introducing-gpt-5-4/.
The Scaling Laws of Skills in LLM Agent Systems Introducing gpt-5.4.https://openai.com/index/introducing-gpt-5-4/
Reference 63
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T18:13:38.195415Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 1c730a86-9690-4a6e-be7c-5f12f123921d · outbound
This paper cites Introducing claude sonnet 4.6.https://www.anthropic.com/news/claude-sonnet-4-6.
The Scaling Laws of Skills in LLM Agent Systems Introducing claude sonnet 4.6.https://www.anthropic.com/news/claude-sonnet-4-6
Reference 64
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T18:13:38.198151Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation ffb68d1a-32c6-4a61-97a6-0d05612421c9 · outbound
This paper cites Introducing claude opus 4.6.https://www.anthropic.com/news/claude-opus-4-6.
The Scaling Laws of Skills in LLM Agent Systems Introducing claude opus 4.6.https://www.anthropic.com/news/claude-opus-4-6
Reference 65
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T18:13:38.201005Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 80ee954f-0a5e-47d6-9916-2e53a96b9a0b · outbound
This paper cites Gemini 3.Google DeepMind.
The Scaling Laws of Skills in LLM Agent Systems Gemini 3.Google DeepMind
Reference 66
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T18:13:38.209116Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 798f9903-e3e7-4257-baee-04b10015b933 · outbound
This paper cites Glm-5: from vibe coding to agentic engineering.
The Scaling Laws of Skills in LLM Agent Systems Glm-5: from vibe coding to agentic engineering
Reference 67
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T18:13:38.214142Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation d80d842a-66cc-49ef-9749-560f1554d69e · outbound
This paper cites Glm-4.7: Advancing the coding capability.https://z.ai/blog/glm-4.7.
The Scaling Laws of Skills in LLM Agent Systems Glm-4.7: Advancing the coding capability.https://z.ai/blog/glm-4.7
Reference 68
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T18:13:38.238203Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 935be88b-864d-422d-b5d0-7e33696e7d98 · outbound
This paper cites Kimi k2.5: Visual agentic intelligence.
The Scaling Laws of Skills in LLM Agent Systems Kimi k2.5: Visual agentic intelligence
Reference 69
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T18:13:38.206583Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation e682c445-8d03-4983-9461-670c5a163cfd · outbound
This paper cites Kimi k2.6: From code to creation, from one to many.
The Scaling Laws of Skills in LLM Agent Systems Kimi k2.6: From code to creation, from one to many
Reference 70
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T18:13:38.304353Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 531d13e3-b094-491d-b70e-0631dc82ff80 · outbound
This paper cites Seed 2.0 official launch.
The Scaling Laws of Skills in LLM Agent Systems Seed 2.0 official launch
Reference 71
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T18:13:38.309422Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 726f8561-63fa-459d-a937-bfdecee8eb81 · outbound
This paper cites Deepseek-v4:towards highly efficient million-token context intelligence.https://huggingface.
The Scaling Laws of Skills in LLM Agent Systems Deepseek-v4:towards highly efficient million-token context intelligence.https://huggingface
Reference 72
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T18:13:38.311781Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation e520c5c9-7539-4f4d-8389-72ac62df8ea0 · outbound
This paper cites Qwen3 Technical Report.
The Scaling Laws of Skills in LLM Agent Systems Qwen3 Technical Report
Reference 73
- Resolution
- verified exact
- local_arxiv, observed 2026-05-20T18:13:37.578846Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation a509f3e2-f887-48a8-819a-48d61f980115 · outbound
This paper cites an unresolved cited work.
The Scaling Laws of Skills in LLM Agent Systems Unresolved cited work
Reference 74
- Resolution
- unresolved
- raw_fallback, observed 2026-05-20T18:13:38.295211Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 93abe91d-940e-48c4-8071-ae2951094038 · outbound
This paper cites This is the scale-free local-crowding condition tested by the CI and semantic-gap diagnostics.
The Scaling Laws of Skills in LLM Agent Systems This is the scale-free local-crowding condition tested by the CI and semantic-gap diagnostics
Reference 75
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T18:13:38.297981Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 8046b567-327e-4158-97b7-6dc2ec6531cb · outbound
This paper cites Irrelevant distractors have negligi- ble𝑤𝑗; local near-misses dominate𝐶(𝑁).
The Scaling Laws of Skills in LLM Agent Systems Irrelevant distractors have negligi- ble𝑤𝑗; local near-misses dominate𝐶(𝑁)
Reference 76
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T18:13:38.262899Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation b6cd39c7-039c-4c1d-9352-4f2a7144648d · outbound
This paper cites an unresolved cited work.
The Scaling Laws of Skills in LLM Agent Systems Unresolved cited work
Reference 77
- Resolution
- unresolved
- raw_fallback, observed 2026-05-20T18:13:38.290121Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation fa793c67-ce79-45da-a92c-8c59601846c6 · outbound
This paper cites an unresolved cited work.
The Scaling Laws of Skills in LLM Agent Systems Unresolved cited work
Reference 78
- Resolution
- unresolved
- raw_fallback, observed 2026-05-20T18:13:38.272735Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 0e978ef2-c601-4986-b682-1253988ad9ac · outbound
This paper cites Lemma 1 (Clustered libraries imply logarithmic effective competition).Under Assumption 2, Assumption 3 follows with𝐶1 =𝜅.
The Scaling Laws of Skills in LLM Agent Systems Lemma 1 (Clustered libraries imply logarithmic effective competition).Under Assumption 2, Assumption 3 follows with𝐶1 =𝜅
Reference 79
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T18:13:38.238422Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation d13d173d-450d-415e-8157-c0046fa7719b · outbound
This paper cites an unresolved cited work.
The Scaling Laws of Skills in LLM Agent Systems Unresolved cited work
Reference 80
- Resolution
- unresolved
- raw_fallback, observed 2026-05-20T18:13:38.292520Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 7a54cbee-b395-4c5b-a706-db2bf58b36d7 · outbound
This paper cites an unresolved cited work.
The Scaling Laws of Skills in LLM Agent Systems Unresolved cited work
Reference 81
- Resolution
- unresolved
- raw_fallback, observed 2026-05-20T18:13:38.255510Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 49ae69a4-7701-4ec0-9d56-1a64ed1d3ea0 · outbound
This paper cites an unresolved cited work.
The Scaling Laws of Skills in LLM Agent Systems Unresolved cited work
Reference 82
- Resolution
- unresolved
- raw_fallback, observed 2026-05-20T18:13:38.287653Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation fe97e713-6c7a-498e-b7d2-dad8b12059ad · outbound
This paper cites 6.Library relevance: at least one available skill is plausibly needed, even if the exact gold skill set is decided later.
The Scaling Laws of Skills in LLM Agent Systems 6.Library relevance: at least one available skill is plausibly needed, even if the exact gold skill set is decided later
Reference 83
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T18:13:38.301394Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation f06e4022-c4fd-4f04-9cfc-ac24df31950a · outbound
This paper cites 8.Single coherent request: the task should not bundle unrelated goals that would naturally be separate tasks.
The Scaling Laws of Skills in LLM Agent Systems 8.Single coherent request: the task should not bundle unrelated goals that would naturally be separate tasks
Reference 84
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T18:13:38.314181Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation ea213951-73c9-4ab6-997f-2b2a8bae75ca · outbound
This paper cites Single-step tasks.Assign a gold skill set𝐺.
The Scaling Laws of Skills in LLM Agent Systems Single-step tasks.Assign a gold skill set𝐺
Reference 85
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T18:13:38.280604Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 60af0fb9-8db1-42c8-a360-07d25718d53e · outbound
This paper cites an unresolved cited work.
The Scaling Laws of Skills in LLM Agent Systems Unresolved cited work
Reference 86
- Resolution
- unresolved
- raw_fallback, observed 2026-05-20T18:13:38.270326Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation ef8037e8-50f9-4da9-b161-e9b3e8ba9a0d · outbound
This paper cites an unresolved cited work.
The Scaling Laws of Skills in LLM Agent Systems Unresolved cited work
Reference 87
- Resolution
- unresolved
- raw_fallback, observed 2026-05-20T18:13:38.282987Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation bb792871-31bf-4b80-aa7f-09856c12af21 · outbound
This paper cites an unresolved cited work.
The Scaling Laws of Skills in LLM Agent Systems Unresolved cited work
Reference 88
- Resolution
- unresolved
- raw_fallback, observed 2026-05-20T18:13:38.285191Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation e1fff68d-14c7-4f93-b681-8dd0f59a1a1e · outbound
This paper cites an unresolved cited work.
The Scaling Laws of Skills in LLM Agent Systems Unresolved cited work
Reference 89
- Resolution
- unresolved
- raw_fallback, observed 2026-05-20T18:13:38.277741Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation bdd0e669-646b-4787-9f3f-5b71c2efa16b · outbound
This paper cites Boundary Rewrite.
The Scaling Laws of Skills in LLM Agent Systems Boundary Rewrite
Reference 90
- Resolution
- malformed identifier
- raw_fallback, observed 2026-05-20T18:13:38.275399Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Pith citing papers
Observation c86f91a9-4cf6-4cde-9878-e31a3231639f · inbound
SkillCorpus: Consolidating and Evaluating the Open Skill Ecosystem for Real-World LLM Agents cites this paper.
SkillCorpus: Consolidating and Evaluating the Open Skill Ecosystem for Real-World LLM Agents The Scaling Laws of Skills in LLM Agent Systems
Reference 2026
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T23:04:12.409948Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 96ed7f44-2c24-422d-8223-c11ce5dd7aed · inbound
Rethinking Self-Evolution: A Constrained Exploration-Exploitation Process for Mitigating Skill Overfitting cites this paper.
Rethinking Self-Evolution: A Constrained Exploration-Exploitation Process for Mitigating Skill Overfitting The Scaling Laws of Skills in LLM Agent Systems
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T11:46:01.048124Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.