Paper Citation Record · LEDGER

Unsupervised Skill Discovery for Agentic Data Analysis

As of 21 August 2026, this Paper Citation Record lists 65 of 65 outbound references and 1 inbound Pith citation observation for arXiv:2606.06416.

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

pith.paper-citation-record.v1
2606.06416 v1

Coverage vector

measured 65 of 65 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-28T01:13:03.634348Z

measured 66 of 66 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T00:30:35.846251Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

65 of 65 outbound references displayed

verified exact30
verified fuzzy0
unresolved22
parse uncertain0
malformed identifier0
metadata mismatch13

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 78afc5bb-e0f4-4c8e-98df-2e02e36ab307 · outbound

This paper cites A survey of data agents: Emerging paradigm or overstated hype?CoRR, abs/2510.23587.

Unsupervised Skill Discovery for Agentic Data Analysis A survey of data agents: Emerging paradigm or overstated hype?CoRR, abs/2510.23587

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-06-28T01:21:28.995377Z

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Observation cdd7fba4-e280-475b-9438-d78d55d57119 · outbound

This paper cites Large language model-based data science agent: A survey.

Unsupervised Skill Discovery for Agentic Data Analysis Large language model-based data science agent: A survey

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-07-02T13:36:58.874063Z

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Observation 267aa5e6-74e9-4d59-9371-08e7888455fa · outbound

This paper cites Large language model-based data science agent: A survey.

Unsupervised Skill Discovery for Agentic Data Analysis Large language model-based data science agent: A survey

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-06-28T01:21:28.960566Z

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Observation efb04c2c-4046-4a09-a32d-05f8b0f39e1a · outbound

This paper cites Deep Research: A Survey of Autonomous Research Agents.

Unsupervised Skill Discovery for Agentic Data Analysis Deep Research: A Survey of Autonomous Research Agents

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-06-28T01:21:28.950408Z

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Observation 6ee7ee8a-6e9b-4991-bdc7-10d49c7efcdd · outbound

This paper cites Data interpreter: An LLM agent for data science,.

Unsupervised Skill Discovery for Agentic Data Analysis Data interpreter: An LLM agent for data science,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-06-28T01:13:03.634348Z

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Observation 49e266c1-e220-442e-8df8-a9cd513d69ad · outbound

This paper cites AgenticData: An Agentic Data Analytics System for Heterogeneous Data.

Unsupervised Skill Discovery for Agentic Data Analysis AgenticData: An Agentic Data Analytics System for Heterogeneous Data

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-07-17T01:20:37.666847Z

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Observation 7f6c62cd-728c-4950-b19d-d184dcbe213e · outbound

This paper cites Ds-star: Data science agent via iterative planning and verification.

Unsupervised Skill Discovery for Agentic Data Analysis Ds-star: Data science agent via iterative planning and verification

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-07-02T13:36:58.869490Z

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Observation 701c8a42-3532-4deb-aa3c-b6270abccf5a · outbound

This paper cites Ds-star: Data science agent via iterative planning and verification.

Unsupervised Skill Discovery for Agentic Data Analysis Ds-star: Data science agent via iterative planning and verification

Reference 8

Resolution: metadata mismatch; arxiv_id, observed 2026-06-28T01:21:28.963168Z

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Observation 37c24bea-34f1-4c53-82f3-e0937d66d2cb · outbound

This paper cites Agentada: Skill-adaptive data analytics for tailored insight discovery,.

Unsupervised Skill Discovery for Agentic Data Analysis Agentada: Skill-adaptive data analytics for tailored insight discovery,

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-07-02T13:36:58.871361Z

Source-reported events for the cited work

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Observation bc11c616-a6a2-42c0-a2e5-615d7d04a1c1 · outbound

This paper cites Agentada: Skill-adaptive data analytics for tailored insight discovery,.

Unsupervised Skill Discovery for Agentic Data Analysis Agentada: Skill-adaptive data analytics for tailored insight discovery,

Reference 10

Resolution: metadata mismatch; arxiv_id, observed 2026-06-28T01:21:28.987612Z

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Observation 097d7e59-30ac-4187-889e-e14cfdf73442 · outbound

This paper cites Datawiseagent: A notebook-centric llm agent framework for adaptive and robust data science automation, 2025.

Unsupervised Skill Discovery for Agentic Data Analysis Datawiseagent: A notebook-centric llm agent framework for adaptive and robust data science automation, 2025

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-06-28T01:21:28.992823Z

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Observation 4811f476-46d5-4858-9fc7-fb121499d22f · outbound

This paper cites Data-Copilot: Bridging Billions of Data and Humans with Autonomous Workflow.

Unsupervised Skill Discovery for Agentic Data Analysis Data-Copilot: Bridging Billions of Data and Humans with Autonomous Workflow

Reference 12

Resolution: metadata mismatch; arxiv_id, observed 2026-06-28T01:21:28.941230Z

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Observation 6150fdeb-201d-46d0-a97e-69645e1140e9 · outbound

This paper cites DAgent: A Relational Database-Driven Data Analysis Report Generation Agent.

Unsupervised Skill Discovery for Agentic Data Analysis DAgent: A Relational Database-Driven Data Analysis Report Generation Agent

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-06-28T01:21:28.990285Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a48b3e53-0fa8-4438-8f0f-ca66cedfe1e7 · outbound

This paper cites CoRR , volume =.

Unsupervised Skill Discovery for Agentic Data Analysis CoRR , volume =

Reference 14

Resolution: metadata mismatch; arxiv_id, observed 2026-06-28T01:21:28.955257Z

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Observation 9e5d6827-22e8-448c-a906-91f0c270d6ba · outbound

This paper cites arXiv preprint arXiv:2510.16872 , year=.

Unsupervised Skill Discovery for Agentic Data Analysis arXiv preprint arXiv:2510.16872 , year=

Reference 15

Resolution: metadata mismatch; arxiv_id, observed 2026-06-28T01:21:28.958007Z

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Observation 88200ef2-e639-4f0a-872f-ab2c18f6ece9 · outbound

This paper cites What are skills?.

Unsupervised Skill Discovery for Agentic Data Analysis What are skills?

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-07-02T13:36:58.882977Z

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Observation 4a2955ff-98e8-405a-8589-0c438c814b69 · outbound

This paper cites SoK: Agentic Skills -- Beyond Tool Use in LLM Agents.

Unsupervised Skill Discovery for Agentic Data Analysis SoK: Agentic Skills -- Beyond Tool Use in LLM Agents

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-06-28T01:21:28.965784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1a5d0fac-f5e1-4853-9961-ed796368e4fa · outbound

This paper cites Agent skills: A data-driven analysis of claude skills for extending large language model functionality.

Unsupervised Skill Discovery for Agentic Data Analysis Agent skills: A data-driven analysis of claude skills for extending large language model functionality

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-07-02T13:36:58.879515Z

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Observation eb8706e2-d53c-4693-bb08-de9ae455c4fa · outbound

This paper cites Skillx: Automatically constructing skill knowledge bases for agents,.

Unsupervised Skill Discovery for Agentic Data Analysis Skillx: Automatically constructing skill knowledge bases for agents,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-06-28T01:13:03.634348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 534536bd-141f-42ac-aea4-9a39c79e714d · outbound

This paper cites Trace2Skill: Distill Trajectory-Local Lessons into Transferable Agent Skills.

Unsupervised Skill Discovery for Agentic Data Analysis Trace2Skill: Distill Trajectory-Local Lessons into Transferable Agent Skills

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-06-28T01:21:28.946681Z

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Observation bff7d3a3-4720-4ec9-9260-773d79aa81ef · outbound

This paper cites EvoSkill: Automated Skill Discovery for Multi-Agent Systems.

Unsupervised Skill Discovery for Agentic Data Analysis EvoSkill: Automated Skill Discovery for Multi-Agent Systems

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-06-28T01:21:28.968185Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e9c36e49-a555-4943-abbc-f9c4517ff0d0 · outbound

This paper cites Coevoskills: Self- evolving agent skills via co-evolutionary verification,.

Unsupervised Skill Discovery for Agentic Data Analysis Coevoskills: Self- evolving agent skills via co-evolutionary verification,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-06-28T01:13:03.634348Z

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Observation 9a61f310-c245-468d-b7a3-a41e20b8f29b · outbound

This paper cites Skillopt: Executive strategy for self-evolving agent skills,.

Unsupervised Skill Discovery for Agentic Data Analysis Skillopt: Executive strategy for self-evolving agent skills,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-06-28T01:13:03.634348Z

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Observation 9cbc1cdc-8647-455d-a12a-fc84dd7711c0 · outbound

This paper cites Skillclaw: Let skills evolve collectively with agentic evolver,.

Unsupervised Skill Discovery for Agentic Data Analysis Skillclaw: Let skills evolve collectively with agentic evolver,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-06-28T01:13:03.634348Z

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Observation f51a141b-0a17-4d40-89c9-c094ebd5ef97 · outbound

This paper cites Skillos: Learning skill curation for self-evolving agents,.

Unsupervised Skill Discovery for Agentic Data Analysis Skillos: Learning skill curation for self-evolving agents,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-06-28T01:13:03.634348Z

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Observation 400a7786-2f8c-40b6-92c3-a9de7780b29a · outbound

This paper cites Hunt Instead of Wait: Evaluating Deep Data Research on Large Language Models.

Unsupervised Skill Discovery for Agentic Data Analysis Hunt Instead of Wait: Evaluating Deep Data Research on Large Language Models

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-06-28T01:21:28.998546Z

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Observation dcd5dbcc-62f6-4266-b7f2-0a5ca6772369 · outbound

This paper cites DABstep: Data Agent Benchmark for Multi-step Reasoning.

Unsupervised Skill Discovery for Agentic Data Analysis DABstep: Data Agent Benchmark for Multi-step Reasoning

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-06-28T01:21:29.003098Z

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Observation a6fb76e8-e526-4def-b8d7-23cc2880ec40 · outbound

This paper cites React: Synergizing reasoning and acting in language models,.

Unsupervised Skill Discovery for Agentic Data Analysis React: Synergizing reasoning and acting in language models,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-06-28T01:13:03.634348Z

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Observation 217c68cb-1627-49a2-8619-f70a303f6c37 · outbound

This paper cites OpenAI GPT-5 System Card.

Unsupervised Skill Discovery for Agentic Data Analysis OpenAI GPT-5 System Card

Reference 29

Resolution: verified exact; local_arxiv, observed 2026-07-02T13:36:58.856929Z

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Observation cf6465b0-01da-4aca-bbfd-f173823ca05b · outbound

This paper cites OpenAI GPT-5 System Card.

Unsupervised Skill Discovery for Agentic Data Analysis OpenAI GPT-5 System Card

Reference 30

Resolution: metadata mismatch; local_arxiv, observed 2026-06-28T01:21:28.993703Z

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Observation ed802aa2-8415-43e8-9a5a-1d096ac11cb9 · outbound

This paper cites Skill Creator,.

Unsupervised Skill Discovery for Agentic Data Analysis Skill Creator,

Reference 31

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Observation c4e95cd4-6503-4117-a105-910b4084699e · outbound

This paper cites System Card: Claude Sonnet 4.6,.

Unsupervised Skill Discovery for Agentic Data Analysis System Card: Claude Sonnet 4.6,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-06-28T01:13:03.634348Z

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Observation 62890781-fb2b-4d77-be4f-e9346f5dad2f · outbound

This paper cites System Card: Claude Sonnet 4.5,.

Unsupervised Skill Discovery for Agentic Data Analysis System Card: Claude Sonnet 4.5,

Reference 33

Resolution: unresolved; no resolver link, observed 2026-06-28T01:13:03.634348Z

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Observation 2e44af1f-7b64-47c5-8002-3bd3d0ef2b16 · outbound

This paper cites Deepseek-v4: Towards highly efficient million-token context intelligence,.

Unsupervised Skill Discovery for Agentic Data Analysis Deepseek-v4: Towards highly efficient million-token context intelligence,

Reference 34

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Observation 0bace785-e417-4f83-bb1f-14572fca5945 · outbound

This paper cites Qwen3.5: Accelerating productivity with native multimodal agents,.

Unsupervised Skill Discovery for Agentic Data Analysis Qwen3.5: Accelerating productivity with native multimodal agents,

Reference 35

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Observation 162ce183-1933-4b76-b679-f8983d10818a · outbound

This paper cites Dsgym: A holistic framework for evaluating and training data science agents.

Unsupervised Skill Discovery for Agentic Data Analysis Dsgym: A holistic framework for evaluating and training data science agents

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-06-28T01:21:28.982438Z

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Observation 9d28cb1b-3e0e-47f5-9ba4-b3d35b1aed59 · outbound

This paper cites Zabreyko, Chenning Li, Ferdi Kossmann, Jialin Ding, Jun Chen, Markos Markakis, Matthew Russo, Weiyang Wang, Ziniu Wu, Michael J.

Unsupervised Skill Discovery for Agentic Data Analysis Zabreyko, Chenning Li, Ferdi Kossmann, Jialin Ding, Jun Chen, Markos Markakis, Matthew Russo, Weiyang Wang, Ziniu Wu, Michael J

Reference 37

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T13:36:58.859970Z

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Observation 88468e6f-33d4-4132-b669-ae763a439a0a · outbound

This paper cites Zabreyko, Chenning Li, Ferdi Kossmann, Jialin Ding, Jun Chen, Markos Markakis, Matthew Russo, Weiyang Wang, Ziniu Wu, Michael J.

Unsupervised Skill Discovery for Agentic Data Analysis Zabreyko, Chenning Li, Ferdi Kossmann, Jialin Ding, Jun Chen, Markos Markakis, Matthew Russo, Weiyang Wang, Ziniu Wu, Michael J

Reference 38

Resolution: metadata mismatch; arxiv_id, observed 2026-06-28T01:21:28.996146Z

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Observation aa4cf399-fa90-443c-91e5-bb5703affda6 · outbound

This paper cites Sanity checks for agentic data science,.

Unsupervised Skill Discovery for Agentic Data Analysis Sanity checks for agentic data science,

Reference 39

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Observation 902fe5f2-4151-40e8-aa21-1ba108e327b8 · outbound

This paper cites Matplotagent: Method and evaluation for llm-based agentic scientific data visualization.

Unsupervised Skill Discovery for Agentic Data Analysis Matplotagent: Method and evaluation for llm-based agentic scientific data visualization

Reference 40

Resolution: verified exact; doi, observed 2026-06-28T01:21:28.991459Z

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Observation 57824ff0-806e-4d9c-bfdd-a1d9d52f2532 · outbound

This paper cites Insightpilot: An llm-empowered automated data exploration system,.

Unsupervised Skill Discovery for Agentic Data Analysis Insightpilot: An llm-empowered automated data exploration system,

Reference 41

Resolution: verified exact; doi, observed 2026-06-28T01:21:29.000547Z

Source-reported events for the cited work

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Observation d762933a-aabe-41a1-9b4c-24756ab05896 · outbound

This paper cites Datastorm: Deep research on large-scale databases using exploratory data analysis and data storytelling,.

Unsupervised Skill Discovery for Agentic Data Analysis Datastorm: Deep research on large-scale databases using exploratory data analysis and data storytelling,

Reference 42

Resolution: unresolved; no resolver link, observed 2026-06-28T01:13:03.634348Z

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Observation 3ab76e06-3041-4d17-99ce-8bee0abf4ebc · outbound

This paper cites Datacross: A unified benchmark and agent framework for cross-modal heterogeneous data analysis,.

Unsupervised Skill Discovery for Agentic Data Analysis Datacross: A unified benchmark and agent framework for cross-modal heterogeneous data analysis,

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-07-02T13:36:58.872174Z

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Observation 78a22f46-6948-49bf-889f-e5e1f524d10b · outbound

This paper cites DeepEye-SQL: A Software-Engineering-Inspired Text-to-SQL Framework.

Unsupervised Skill Discovery for Agentic Data Analysis DeepEye-SQL: A Software-Engineering-Inspired Text-to-SQL Framework

Reference 44

Resolution: verified exact; local_arxiv, observed 2026-06-28T01:21:28.989533Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 73dd8892-21a6-427f-8600-a4028581383b · outbound

This paper cites Why do open-source llms struggle with data analysis? A systematic empirical study,.

Unsupervised Skill Discovery for Agentic Data Analysis Why do open-source llms struggle with data analysis? A systematic empirical study,

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-07-02T13:36:58.885935Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a43015ed-ad45-4c13-b23b-649555ede88a · outbound

This paper cites Why do open-source llms struggle with data analysis? A systematic empirical study,.

Unsupervised Skill Discovery for Agentic Data Analysis Why do open-source llms struggle with data analysis? A systematic empirical study,

Reference 46

Resolution: metadata mismatch; arxiv_id, observed 2026-06-28T01:21:29.005593Z

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Observation d5f18087-d92c-4245-93d7-b3069a389747 · outbound

This paper cites Welcome to the era of experience.

Unsupervised Skill Discovery for Agentic Data Analysis Welcome to the era of experience

Reference 47

Resolution: unresolved; no resolver link, observed 2026-06-28T01:13:03.634348Z

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Observation 5f4b4eaa-b775-4f6d-8533-441b314449d9 · outbound

This paper cites Agent Skills for Large Language Models: Architecture, Acquisition, Security, and the Path Forward.

Unsupervised Skill Discovery for Agentic Data Analysis Agent Skills for Large Language Models: Architecture, Acquisition, Security, and the Path Forward

Reference 48

Resolution: verified exact; local_arxiv, observed 2026-07-02T13:36:58.880373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3588a8d4-a14a-491e-8e9f-6dcf63779d53 · outbound

This paper cites Agent Skills for Large Language Models: Architecture, Acquisition, Security, and the Path Forward.

Unsupervised Skill Discovery for Agentic Data Analysis Agent Skills for Large Language Models: Architecture, Acquisition, Security, and the Path Forward

Reference 49

Resolution: metadata mismatch; local_arxiv, observed 2026-06-28T01:21:28.979543Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6b2d80ef-9c29-46b0-849b-ddcf37c0a664 · outbound

This paper cites Inducing Programmatic Skills for Agentic Tasks.

Unsupervised Skill Discovery for Agentic Data Analysis Inducing Programmatic Skills for Agentic Tasks

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-07-02T13:36:58.882149Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4ac43678-c350-4ff8-b9fd-b0e40b1d733a · outbound

This paper cites Inducing Programmatic Skills for Agentic Tasks.

Unsupervised Skill Discovery for Agentic Data Analysis Inducing Programmatic Skills for Agentic Tasks

Reference 51

Resolution: metadata mismatch; arxiv_id, observed 2026-06-28T01:21:28.984404Z

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Observation d9f09865-e070-4fd1-afca-fbf3665820e2 · outbound

This paper cites Reinforcement Learning for Self-Improving Agent with Skill Library.

Unsupervised Skill Discovery for Agentic Data Analysis Reinforcement Learning for Self-Improving Agent with Skill Library

Reference 52

Resolution: verified exact; local_arxiv, observed 2026-06-28T01:21:28.981893Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 37a9d63c-aa0f-46e6-aa60-a1704b335806 · outbound

This paper cites MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents.

Unsupervised Skill Discovery for Agentic Data Analysis MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents

Reference 53

Resolution: verified exact; local_arxiv, observed 2026-06-28T01:21:28.966098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1586fa68-70cf-4635-9f98-6ba726f4ac70 · outbound

This paper cites Memp: Exploring Agent Procedural Memory.

Unsupervised Skill Discovery for Agentic Data Analysis Memp: Exploring Agent Procedural Memory

Reference 54

Resolution: verified exact; local_arxiv, observed 2026-06-28T01:21:28.976720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4e781686-1884-416b-8999-6976acfd5d4c · outbound

This paper cites Thinking with Reasoning Skills: Fewer Tokens, More Accuracy.

Unsupervised Skill Discovery for Agentic Data Analysis Thinking with Reasoning Skills: Fewer Tokens, More Accuracy

Reference 55

Resolution: verified exact; local_arxiv, observed 2026-06-28T01:21:28.932593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1ac72551-c1f1-497f-8deb-fb028e26b5c7 · outbound

This paper cites SkillRL: Evolving Agents via Recursive Skill-Augmented Reinforcement Learning.

Unsupervised Skill Discovery for Agentic Data Analysis SkillRL: Evolving Agents via Recursive Skill-Augmented Reinforcement Learning

Reference 56

Resolution: verified exact; local_arxiv, observed 2026-07-02T13:36:58.877785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 293b34ce-8bed-4f30-83e6-1b2b04dd38ed · outbound

This paper cites Skillforge: Forging domain-specific, self-evolving agent skills in cloud technical support,.

Unsupervised Skill Discovery for Agentic Data Analysis Skillforge: Forging domain-specific, self-evolving agent skills in cloud technical support,

Reference 57

Resolution: unresolved; no resolver link, observed 2026-06-28T01:13:03.634348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9884f712-78af-41eb-b2a0-9b8304934e82 · outbound

This paper cites Memento-skills: Let agents design agents,.

Unsupervised Skill Discovery for Agentic Data Analysis Memento-skills: Let agents design agents,

Reference 58

Resolution: unresolved; no resolver link, observed 2026-06-28T01:13:03.634348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f8c78ed-14a1-4133-837b-70fa20e46c2d · outbound

This paper cites Autoskill: Experience-driven lifelong learning via skill self-evolution.

Unsupervised Skill Discovery for Agentic Data Analysis Autoskill: Experience-driven lifelong learning via skill self-evolution

Reference 59

Resolution: verified exact; arxiv_id, observed 2026-07-02T13:36:58.863174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c08de26c-c492-4bce-99e3-405a777acada · outbound

This paper cites From context to skills: Can language models learn from context skillfully?.

Unsupervised Skill Discovery for Agentic Data Analysis From context to skills: Can language models learn from context skillfully?

Reference 60

Resolution: unresolved; no resolver link, observed 2026-06-28T01:13:03.634348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a86acff-fdaa-4c44-a490-882c46237189 · outbound

This paper cites Mmskills: Towards multimodal skills for general visual agents,.

Unsupervised Skill Discovery for Agentic Data Analysis Mmskills: Towards multimodal skills for general visual agents,

Reference 61

Resolution: unresolved; no resolver link, observed 2026-06-28T01:13:03.634348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52f0e03d-1d54-4396-b105-bb1f0e9449be · outbound

This paper cites Skillsvote: Lifecycle governance of agent skills from collection, recommendation to evolution,.

Unsupervised Skill Discovery for Agentic Data Analysis Skillsvote: Lifecycle governance of agent skills from collection, recommendation to evolution,

Reference 62

Resolution: unresolved; no resolver link, observed 2026-06-28T01:13:03.634348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

This paper cites SkillNet: Create, Evaluate, and Connect AI Skills.

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

Reference 63

Resolution: metadata mismatch; 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 2026-08-21T06:32:19.484+00:00.

Observation 95dac5ee-b05b-4cee-bd38-893ad050ccbb · outbound

This paper cites Skillrouter: Skill routing for llm agents at scale,.

Unsupervised Skill Discovery for Agentic Data Analysis Skillrouter: Skill routing for llm agents at scale,

Reference 64

Resolution: unresolved; no resolver link, observed 2026-06-28T01:13:03.634348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 049c91cd-6cc7-43b0-95c8-626ce6d9ed72 · outbound

This paper cites Organizing, orchestrating, and benchmarking agent skills at ecosystem scale,.

Unsupervised Skill Discovery for Agentic Data Analysis Organizing, orchestrating, and benchmarking agent skills at ecosystem scale,

Reference 65

Resolution: unresolved; no resolver link, observed 2026-06-28T01:13:03.634348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 0145545f-7cba-44a5-bfe1-94d8f2ce85c2 · inbound

Self-Supervised Skill Optimization cites this paper.

Self-Supervised Skill Optimization Unsupervised Skill Discovery for Agentic Data Analysis

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-03T00:30:35.846251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.