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Paper Citation Record · LEDGER

SkillNet: Create, Evaluate, and Connect AI Skills

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 35 inbound Pith citation observations for arXiv:2603.04448.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2603.04448 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 35 of 35 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-08T11:37:11.733780Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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  • malformed identifier0
  • metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 1f4db1c6-6b3e-4053-a0ad-c9338732f18d · inbound

Figures as Interfaces: Toward LLM-Native Artifacts for Scientific Discovery cites this paper.

Figures as Interfaces: Toward LLM-Native Artifacts for Scientific Discovery SkillNet: Create, Evaluate, and Connect AI Skills

Reference 34

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arxiv_id, observed 2026-08-20T02:23:33.197848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-10T17:14:39.738430Z digest=sha256:52caf8afa69fcca03186b832763555f70cfb6588c35a798d461ee827da2e2b90

Observation 8f4ca706-816b-4edb-864e-34dda91e1293 · inbound

Red Skills or Blue Skills? A Dive Into Skills Published on ClawHub cites this paper.

Red Skills or Blue Skills? A Dive Into Skills Published on ClawHub SkillNet: Create, Evaluate, and Connect AI Skills

Reference 6

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arxiv_id, observed 2026-08-20T02:23:33.197848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-15T08:33:53.625397Z digest=sha256:038520e2141fa916804b28db409c8987b84157c4da8937720af2a78f010b518b

Observation d5a6fcac-faaf-48ac-b39d-1839b2c5d5d1 · inbound

SkillFlow:Benchmarking Lifelong Skill Discovery and Evolution for Autonomous Agents cites this paper.

SkillFlow:Benchmarking Lifelong Skill Discovery and Evolution for Autonomous Agents SkillNet: Create, Evaluate, and Connect AI Skills

Reference 20

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arxiv_id, observed 2026-08-20T02:23:33.197848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-10T06:13:32.434201Z digest=sha256:5cb5c1d9b78fc49c688fc8a1ddbae68315e5a7e936765c34ffd2101b72962891

Observation 296d2d5e-e3c0-4ed2-b039-0897605c7618 · inbound

SkillGraph: Self-Evolving Multi-Agent Collaboration with Multimodal Graph Topology cites this paper.

SkillGraph: Self-Evolving Multi-Agent Collaboration with Multimodal Graph Topology SkillNet: Create, Evaluate, and Connect AI Skills

Reference 27

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arxiv_id, observed 2026-08-20T02:23:33.197848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-10T05:23:34.996713Z digest=sha256:648ddfae2b497e81289409f426027212bf70eec2603e6a44ae976adc1bf1a520

Observation de040f13-f85e-4ae6-97bd-2c477fb778f6 · inbound

Agent-World: Scaling Real-World Environment Synthesis for Evolving General Agent Intelligence cites this paper.

Agent-World: Scaling Real-World Environment Synthesis for Evolving General Agent Intelligence SkillNet: Create, Evaluate, and Connect AI Skills

Reference 56

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arxiv_id, observed 2026-08-20T02:23:33.197848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-10T05:24:00.503836Z digest=sha256:9a19941a16a69faf2ad5d097fb86740ab9ef281a3bb808eb75d26b5d0ed4a3dd

Observation f58c9f30-9fa4-49ea-aafa-a2f8016efb60 · inbound

MedSkillAudit: A Domain-Specific Audit Framework for Medical Research Agent Skills cites this paper.

MedSkillAudit: A Domain-Specific Audit Framework for Medical Research Agent Skills SkillNet: Create, Evaluate, and Connect AI Skills

Reference 2

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arxiv_id, observed 2026-08-20T02:23:33.197848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-10T00:23:11.924161Z digest=sha256:1e2ad5775960e05b0777a41c9032ad3a8d3447357cf8d9a94f572d6c6d32e000

Observation 4527b06f-9ae3-4538-bbfd-38c62373bbef · inbound

From Skill Text to Skill Structure: The Scheduling-Structural-Logical Representation for Agent Skills cites this paper.

From Skill Text to Skill Structure: The Scheduling-Structural-Logical Representation for Agent Skills SkillNet: Create, Evaluate, and Connect AI Skills

Reference 13

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arxiv_id, observed 2026-08-20T02:23:33.197848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-08T04:05:49.308804Z digest=sha256:9ccf7448dfa3855a9e4e1b5bb35d7cba6a3f21e30d97849866d496558a686109

Observation e31f139b-3c6f-47c2-b2ea-541bdf200a2a · inbound

Rewarding the Scientific Process: Process-Level Reward Modeling for Agentic Data Analysis cites this paper.

Rewarding the Scientific Process: Process-Level Reward Modeling for Agentic Data Analysis SkillNet: Create, Evaluate, and Connect AI Skills

Reference 26

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arxiv_id, observed 2026-08-20T02:23:33.197848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-08T03:47:34.897401Z digest=sha256:b31cdca6e5c0892e2703b0503529363315e85b974aef652ef45419470e6abc1e

Observation 680b7df3-45be-4e58-9520-5e14fc41cbf8 · inbound

Rewarding the Scientific Process: Process-Level Reward Modeling for Agentic Data Analysis cites this paper.

Rewarding the Scientific Process: Process-Level Reward Modeling for Agentic Data Analysis SkillNet: Create, Evaluate, and Connect AI Skills

Reference 26

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arxiv_id, observed 2026-08-20T02:23:33.197848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-01T09:13:20.071265Z digest=sha256:5535f503f1f75bd8d4821ab459547b00386a10ee503ab4235fcf2eea661cdbbb

Observation b7d01ac4-8135-4cc5-ba84-6a7f1742909b · inbound

Toward Scalable Terminal Task Synthesis via Skill Graphs cites this paper.

Toward Scalable Terminal Task Synthesis via Skill Graphs SkillNet: Create, Evaluate, and Connect AI Skills

Reference 7

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arxiv_id, observed 2026-08-20T02:23:33.197848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-07T16:13:50.484665Z digest=sha256:333981dfc7f2547901ece62e3d3f0b78c3021c6364bd11b8e7cba134ad86b090

Observation 1a16fe86-0611-46b4-a3c5-1baeb55322c1 · inbound

From Context to Skills: Can Language Models Learn from Context Skillfully? cites this paper.

From Context to Skills: Can Language Models Learn from Context Skillfully? SkillNet: Create, Evaluate, and Connect AI Skills

Reference 22

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arxiv_id, observed 2026-08-20T02:23:33.197848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-07T06:31:51.474951Z digest=sha256:5ce28eeaa541a52eb40f6d0d87771af145f0697c77f23e8b88bf967e94860239

Observation 88b80884-a8ca-47dc-a082-503928dd6e76 · inbound

Skill1: Unified Evolution of Skill-Augmented Agents via Reinforcement Learning cites this paper.

Skill1: Unified Evolution of Skill-Augmented Agents via Reinforcement Learning SkillNet: Create, Evaluate, and Connect AI Skills

Reference 63

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arxiv_id, observed 2026-08-20T02:23:33.197848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-08T10:23:52.522238Z digest=sha256:24b1c09b7ad1e8433e2a2c63d89790273f895a3b6dde336945ff32cf193893f0

Observation ba307519-b0df-4158-9b86-c13d927bfbe2 · inbound

Skill1: Unified Evolution of Skill-Augmented Agents via Reinforcement Learning cites this paper.

Skill1: Unified Evolution of Skill-Augmented Agents via Reinforcement Learning SkillNet: Create, Evaluate, and Connect AI Skills

Reference 63

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verified exact
arxiv_id, observed 2026-08-20T02:23:33.197848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-11T02:00:00.663355Z digest=sha256:a4feb8448ac439c0ebe77a7b6a7db87e7681e3df1c8b3a791bdbe24f5618dd05

Observation c62b989c-d0ec-44ce-9496-a3f94b1b0f81 · inbound

Skill1: Unified Evolution of Skill-Augmented Agents via Reinforcement Learning cites this paper.

Skill1: Unified Evolution of Skill-Augmented Agents via Reinforcement Learning SkillNet: Create, Evaluate, and Connect AI Skills

Reference 63

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verified exact
arxiv_id, observed 2026-08-20T02:23:33.197848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-13T07:17:13.708752Z digest=sha256:07ceea7cbbdb31e75f675196cc3d7bb91429c0142984afbb06bf94640b9d5ef7

Observation e57582f0-3bf2-45de-a871-0c99d44748cf · inbound

Group of Skills: Group-Structured Skill Retrieval for Agent Skill Libraries cites this paper.

Group of Skills: Group-Structured Skill Retrieval for Agent Skill Libraries SkillNet: Create, Evaluate, and Connect AI Skills

Reference 7

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verified exact
arxiv_id, observed 2026-08-20T02:23:33.197848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-11T01:08:23.803285Z digest=sha256:9fb8b0ecd0b799639b1d7e6bcd8746c1075fb8b9d8848047d461a4c402902408

Observation a9f0a160-c37b-4a5a-98e1-e22247608991 · inbound

A Comprehensive Survey on Agent Skills: Taxonomy, Techniques, and Applications cites this paper.

A Comprehensive Survey on Agent Skills: Taxonomy, Techniques, and Applications SkillNet: Create, Evaluate, and Connect AI Skills

Reference 68

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arxiv_id, observed 2026-08-20T02:23:33.197848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-11T01:47:39.926540Z digest=sha256:05e575421c8c4b5f8c2defc5963c72f974f73c37926e6e4f1176135362b3687a

Observation de80cabf-0973-43f9-8ba0-3e138e8474fc · inbound

A Comprehensive Survey on Agent Skills: Taxonomy, Techniques, and Applications cites this paper.

A Comprehensive Survey on Agent Skills: Taxonomy, Techniques, and Applications SkillNet: Create, Evaluate, and Connect AI Skills

Reference 68

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arxiv_id, observed 2026-08-20T02:23:33.197848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-20T23:15:44.550045Z digest=sha256:ab27733665a0a9c7fa840dd1cb4cc6890f5c3dfd414c34047185230d18456a07

Observation 492e2273-849c-44d8-82f8-354fcd4d3c53 · inbound

A Comprehensive Survey on Agent Skills: Taxonomy, Techniques, and Applications cites this paper.

A Comprehensive Survey on Agent Skills: Taxonomy, Techniques, and Applications SkillNet: Create, Evaluate, and Connect AI Skills

Reference 66

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arxiv_id, observed 2026-08-20T02:23:33.197848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-30T23:23:42.883286Z digest=sha256:71f35f5dc8d205f8090046452f1e9bec677fa155095c73bd2e1c1f409e22cb57

Observation 2c53278f-fb65-4ccd-8284-5a904d6371db · inbound

Evidence Over Plans: Online Trajectory Verification for Skill Distillation cites this paper.

Evidence Over Plans: Online Trajectory Verification for Skill Distillation SkillNet: Create, Evaluate, and Connect AI Skills

Reference 6

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arxiv_id, observed 2026-08-20T02:23:33.197848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-12T02:37:27.532261Z digest=sha256:615b5468c76ec9b74088be908a52989fa885bf7208cec9c4a61f37398865a005

Observation 79abaf91-d9f8-47e5-a5bd-d2de2190cfec · inbound

Evidence Over Plans: Online Trajectory Verification for Skill Distillation cites this paper.

Evidence Over Plans: Online Trajectory Verification for Skill Distillation SkillNet: Create, Evaluate, and Connect AI Skills

Reference 9

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verified exact
arxiv_id, observed 2026-08-20T02:23:33.197848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-30T22:49:45.965536Z digest=sha256:9a86820a0022a97c2010c53a3f4143b87f79867295a2c167a898de049735a113

Observation 62a63c17-f8ce-4673-bdbc-c76dd3963c56 · inbound

RS-Claw: Progressive Active Tool Exploration via Hierarchical Skill Trees for Remote Sensing Agents cites this paper.

RS-Claw: Progressive Active Tool Exploration via Hierarchical Skill Trees for Remote Sensing Agents SkillNet: Create, Evaluate, and Connect AI Skills

Reference 43

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arxiv_id, observed 2026-08-20T02:23:33.197848Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-14T19:33:48.787673Z digest=sha256:12f211d75cb6de3d85555cda5ca2d25908dc574eec0ad1a7df6d5325362104c4

Observation 09aadf03-c0be-454c-a399-142275461a74 · inbound

SkillsVote: Lifecycle Governance of Agent Skills from Collection, Recommendation to Evolution cites this paper.

SkillsVote: Lifecycle Governance of Agent Skills from Collection, Recommendation to Evolution SkillNet: Create, Evaluate, and Connect AI Skills

Reference 26

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arxiv_id, observed 2026-08-20T02:23:33.197848Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-20T11:40:45.397038Z digest=sha256:09c398345fe09f84b6b28a0a4f13281ec122ecc019ce56b1bfe81154a3b819ec

Observation c26814b0-2d44-4363-a06a-9ae2e84f7655 · inbound

Workflow Closure Is Not Scientific Closure in Auto-Research Systems cites this paper.

Workflow Closure Is Not Scientific Closure in Auto-Research Systems SkillNet: Create, Evaluate, and Connect AI Skills

Reference 67

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arxiv_id, observed 2026-08-20T02:23:33.197848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-29T20:14:41.874134Z digest=sha256:a97a9b1d980d07b1cbd37f6e1749a5b7a2920c844050f9e62b32d4d80fca9d86

Observation cb038181-9e15-40dd-bd4d-0b4abf86b75e · inbound

Make LLM Learn to Synthesize from Streaming Experiences through Feedback cites this paper.

Make LLM Learn to Synthesize from Streaming Experiences through Feedback SkillNet: Create, Evaluate, and Connect AI Skills

Reference 14

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arxiv_id, observed 2026-08-20T02:23:33.197848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-06-29T07:40:09.458698Z digest=sha256:95bf4631e6867c1537799f9d957b875ba89f07f1f7ccdb2cdb4021a0301253de

Observation 83559da1-d552-4c3f-a38d-a005cb61a1e0 · inbound

Skill or Skip? Learning Selective Skill Invocation in Agentic Tasks via Dual-Granularity Preference Learning cites this paper.

Skill or Skip? Learning Selective Skill Invocation in Agentic Tasks via Dual-Granularity Preference Learning SkillNet: Create, Evaluate, and Connect AI Skills

Reference 33

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arxiv_id, observed 2026-08-20T02:23:33.197848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-06-28T19:10:18.320274Z digest=sha256:acb6f891517398e6780970a746108ca05d2cd251ed6605395b41d24b13355571

Observation fb9ca9e7-8624-411d-843e-5a322ebf6c5c · inbound

"Skill Issues'': Data-Centric Optimization of Lakehouse Agents cites this paper.

"Skill Issues'': Data-Centric Optimization of Lakehouse Agents SkillNet: Create, Evaluate, and Connect AI Skills

Reference 21

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arxiv_id, observed 2026-08-20T02:23:33.197848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-28T17:27:02.755216Z digest=sha256:c8b19dedd381290db571774eabbf62b1477960a934ad2450e4375b157761482b

Observation 416d273b-cc39-4c02-9c76-281dd21685a8 · inbound

SkillAdaptor: Self-Adapting Skills for LLM Agents from Trajectories cites this paper.

SkillAdaptor: Self-Adapting Skills for LLM Agents from Trajectories SkillNet: Create, Evaluate, and Connect AI Skills

Reference 22

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arxiv_id, observed 2026-08-20T02:23:33.197848Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-06-28T17:15:10.960549Z digest=sha256:430028adc2339fd9e31394aa2de8af48a9edb73b06d01e23ff234f87293f0d93

Observation 0767c52a-c4ba-48db-acca-327e06e328b0 · inbound

SkillDAG: Self-Evolving Typed Skill Graphs for LLM Skill Selection at Scale cites this paper.

SkillDAG: Self-Evolving Typed Skill Graphs for LLM Skill Selection at Scale SkillNet: Create, Evaluate, and Connect AI Skills

Reference 7

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arxiv_id, observed 2026-08-20T02:23:33.197848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-28T10:35:35.230305Z digest=sha256:024b3fc26963fa1b21f8e32122ccbec1f47109167d41f5473ee7b40ccfd138cd

Observation 78f83921-d485-4d36-b012-42cf984af63e · inbound

SkillPyramid: A Hierarchical Skill Consolidation Framework for Self-Evolving Agents cites this paper.

SkillPyramid: A Hierarchical Skill Consolidation Framework for Self-Evolving Agents SkillNet: Create, Evaluate, and Connect AI Skills

Reference 1

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arxiv_id, observed 2026-08-20T02:23:33.197848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-06-28T10:15:03.274182Z digest=sha256:8db785ca74d2e792ac9155039d35b903edb45194b6fdf1c344df04b51bf91e26

Observation a17601e5-b929-405f-aad7-f1f875aad059 · inbound

Unsupervised Skill Discovery for Agentic Data Analysis cites this paper.

Unsupervised Skill Discovery for Agentic Data Analysis SkillNet: Create, Evaluate, and Connect AI Skills

Reference 63

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arxiv_id, observed 2026-08-20T02:23:33.197848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-28T01:13:03.634348Z digest=sha256:56fa1782d94c39dcfdd8bbf1bdf75d15af6656c8c4930759cf5c8c65f8c94717

Observation 03a6acc0-7b63-45c2-ae3d-13e23945b01f · inbound

OpenSkill: Open-World Self-Evolution for LLM Agents cites this paper.

OpenSkill: Open-World Self-Evolution for LLM Agents SkillNet: Create, Evaluate, and Connect AI Skills

Reference 43

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arxiv_id, observed 2026-08-20T02:23:33.197848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-06-28T00:47:38.201358Z digest=sha256:d42c55323e7067eb62011becb9b0503dd55d72b4b86425f2f21a528969b71732

Observation 0a78cc17-75d5-4c17-bed7-e8b7fa9946a7 · inbound

Pomona: Continuous Code Quality Improvement via Small, Agentic Pull Requests at Bloomberg cites this paper.

Pomona: Continuous Code Quality Improvement via Small, Agentic Pull Requests at Bloomberg SkillNet: Create, Evaluate, and Connect AI Skills

Reference 9

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arxiv_id, observed 2026-08-20T02:23:33.197848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-27T23:55:21.690975Z digest=sha256:5628571c0bd0beda28ab79a7c4e18ce55e46308030aee640774768b0969a0196

Observation 9b61659c-1090-4402-b6f4-6fd39a9c64b0 · inbound

SkillAxe: Sharpening LLM-Authored Agent Skills Through Evaluation-Guided Self-Refinement cites this paper.

SkillAxe: Sharpening LLM-Authored Agent Skills Through Evaluation-Guided Self-Refinement SkillNet: Create, Evaluate, and Connect AI Skills

Reference 16

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arxiv_id, observed 2026-08-20T02:23:33.197848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-27T11:21:48.801593Z digest=sha256:2a5118eba641086d69e8b6b426e71b956a820f25ac2a54b19c8570f4556b2604

Observation 12b7d6a2-d5f1-4aca-a80a-87a50a80c2ca · inbound

Harnessing Agent Skills: Architectural Patterns and a Reference Architecture for Skill-Mediated LLM Agents cites this paper.

Harnessing Agent Skills: Architectural Patterns and a Reference Architecture for Skill-Mediated LLM Agents SkillNet: Create, Evaluate, and Connect AI Skills

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-08-20T02:23:33.197848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-06-28T22:39:46.592592Z digest=sha256:f35d291c356b79766c7830642108517fd529625a4fe3711f28789f796daf17e5

Observation 27d6e2d0-00ef-4f1b-b388-beff9c737c78 · inbound

Task Decomposition-Guided Reranking for Adaptive Agent Skill Retrieval cites this paper.

Task Decomposition-Guided Reranking for Adaptive Agent Skill Retrieval SkillNet: Create, Evaluate, and Connect AI Skills

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-08-20T02:23:33.197848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-07-08T11:37:11.733780Z digest=sha256:ef953c04a0bee6d5d62f56d3f42f5d84cec2431e08cce8227defcea3680113c0