Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-12T04:56:14.360454Z
Paper Citation Record · LEDGER
SkillEvolver: Skill Learning as a Meta-Skill
As of 17 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 4 inbound Pith citation observations for arXiv:2605.10500.
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 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T15:14:31.332594Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T00:14:23.097548Z
Reference resolution
17 of 17 outbound references displayed
- verified exact8
- verified fuzzy2
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch7
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 92294cd8-be33-4301-8f37-26b102fabd9f · outbound
This paper cites Equipping agents for the real world with agent skills.https://www.anthropic.
SkillEvolver: Skill Learning as a Meta-Skill Equipping agents for the real world with agent skills.https://www.anthropic
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T13:01:35.314919Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 848f6b46-f213-4a2d-bde9-a09c15cf8f2b · outbound
This paper cites MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework.
SkillEvolver: Skill Learning as a Meta-Skill MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework
Reference 2
- Resolution
- verified exact
- local_arxiv, observed 2026-05-12T05:46:30.941927Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation f63106d8-8d3a-4842-857e-09c52255e1b1 · outbound
This paper cites Automated Design of Agentic Systems.
SkillEvolver: Skill Learning as a Meta-Skill Automated Design of Agentic Systems
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T08:07:55.640311Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation f6f73715-8dfb-4d17-abc8-ac1efc619813 · outbound
This paper cites Organizing, orchestrating, and benchmarking agent skills at ecosystem scale.
SkillEvolver: Skill Learning as a Meta-Skill Organizing, orchestrating, and benchmarking agent skills at ecosystem scale
Reference 4
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T05:46:31.029340Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation d6d32728-eb16-4a3c-8913-79d7da0459f8 · outbound
This paper cites Trace2Skill: Distill Trajectory-Local Lessons into Transferable Agent Skills.
SkillEvolver: Skill Learning as a Meta-Skill Trace2Skill: Distill Trajectory-Local Lessons into Transferable Agent Skills
Reference 5
- Resolution
- verified exact
- local_arxiv, observed 2026-05-12T05:46:30.928072Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 87ebedb2-cfcf-45c5-9869-51336882fdf0 · outbound
This paper cites KernelBench: Can LLMs Write Efficient GPU Kernels?.
SkillEvolver: Skill Learning as a Meta-Skill KernelBench: Can LLMs Write Efficient GPU Kernels?
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T16:55:02.220088Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 03638dd5-7295-4066-9fb8-539bfbdc369b · outbound
This paper cites Direct Preference Optimization: Your Language Model is Secretly a Reward Model.
SkillEvolver: Skill Learning as a Meta-Skill Direct Preference Optimization: Your Language Model is Secretly a Reward Model
Reference 7
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-12T05:46:30.906822Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 3c960811-bc23-4655-8161-f73b79095dc4 · outbound
This paper cites Trial and Error: Exploration-Based Trajectory Optimization for LLM Agents.
SkillEvolver: Skill Learning as a Meta-Skill Trial and Error: Exploration-Based Trajectory Optimization for LLM Agents
Reference 8
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T05:46:30.933210Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 59010b3b-2a9b-479d-9364-df0dc9b88fa4 · outbound
This paper cites Dynamic Cheatsheet: Test-Time Learning with Adaptive Memory.
SkillEvolver: Skill Learning as a Meta-Skill Dynamic Cheatsheet: Test-Time Learning with Adaptive Memory
Reference 9
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T05:46:31.048570Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 61e913e9-02c4-4252-a927-aa2ef860b3f3 · outbound
This paper cites Voyager: An Open-Ended Embodied Agent with Large Language Models.
SkillEvolver: Skill Learning as a Meta-Skill Voyager: An Open-Ended Embodied Agent with Large Language Models
Reference 10
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-12T05:46:30.948378Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 63f042e9-10f0-4dae-b957-99191be3249f · outbound
This paper cites Executable Code Actions Elicit Better LLM Agents.
SkillEvolver: Skill Learning as a Meta-Skill Executable Code Actions Elicit Better LLM Agents
Reference 11
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T05:46:30.957751Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 14eb192a-5cc7-47fb-b950-0363f446340b · outbound
This paper cites AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation.
SkillEvolver: Skill Learning as a Meta-Skill AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation
Reference 12
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-12T05:46:30.987918Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 6dd35670-2a65-4d18-9aaf-70323d280613 · outbound
This paper cites SkillRL: Evolving Agents via Recursive Skill-Augmented Reinforcement Learning.
SkillEvolver: Skill Learning as a Meta-Skill SkillRL: Evolving Agents via Recursive Skill-Augmented Reinforcement Learning
Reference 13
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T11:39:12.115659Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 33f74d29-76f4-4e1b-b64f-3f9ab3bfbc31 · outbound
This paper cites TheAgentCompany: Benchmarking LLM Agents on Consequential Real World Tasks.
SkillEvolver: Skill Learning as a Meta-Skill TheAgentCompany: Benchmarking LLM Agents on Consequential Real World Tasks
Reference 14
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-14T22:39:31.128039Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 61689bf8-4669-4398-b397-9e2abdfa92c1 · outbound
This paper cites Agent Skills for Large Language Models: Architecture, Acquisition, Security, and the Path Forward.
SkillEvolver: Skill Learning as a Meta-Skill Agent Skills for Large Language Models: Architecture, Acquisition, Security, and the Path Forward
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T07:39:45.524165Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 239db0e1-a7d8-4f61-952c-2e23c251885e · outbound
This paper cites Agentic Context Engineering: Evolving Contexts for Self-Improving Language Models.
SkillEvolver: Skill Learning as a Meta-Skill Agentic Context Engineering: Evolving Contexts for Self-Improving Language Models
Reference 16
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T16:44:08.223014Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 2cc14ec3-aadf-4009-85bd-cf654695c04b · outbound
This paper cites typically<2.5.
SkillEvolver: Skill Learning as a Meta-Skill typically<2.5
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T13:01:35.311101Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Pith citing papers
Observation 6f740aa1-5572-49da-94f1-4177acdb0dbe · inbound
From Execution to Capability: Scientific Experience Consolidation via Procedural Knowledge Synthesis cites this paper.
From Execution to Capability: Scientific Experience Consolidation via Procedural Knowledge Synthesis SkillEvolver: Skill Learning as a Meta-Skill
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-07-31T14:26:53.326077Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 49fa7322-c24d-46ff-a38f-8ff3ab67991b · inbound
Agent Skills Matter: Inferring Proprietary Skills from Execution Trajectories cites this paper.
Agent Skills Matter: Inferring Proprietary Skills from Execution Trajectories SkillEvolver: Skill Learning as a Meta-Skill
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T02:07:39.738165Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f7c315ff-3985-4f13-94d7-85459432e119 · inbound
Don't Regenerate, Debug: A Domain-Specific Agent for Repairing Near-Miss Hardware Operators cites this paper.
Don't Regenerate, Debug: A Domain-Specific Agent for Repairing Near-Miss Hardware Operators SkillEvolver: Skill Learning as a Meta-Skill
Reference 4
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-07T00:14:23.155793Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation a9b215d6-3d46-4fa7-bae0-17f50f5065f8 · inbound
Bidirectional Context Self-Distillation for Reinforcement Learning of Skill-Based LLM Agents cites this paper.
Bidirectional Context Self-Distillation for Reinforcement Learning of Skill-Based LLM Agents SkillEvolver: Skill Learning as a Meta-Skill
Reference 92
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T15:14:31.332594Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.