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Paper Citation Record · LEDGER

Progressive Agent Skill Generation via Reinforcement Learning

As of 10 August 2026, this Paper Citation Record lists 67 of 67 outbound references and 0 inbound Pith citation observations for arXiv:2608.01678.

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

pith.paper-citation-record.v1
2608.01678 v1

Coverage vector

measured 67 of 67 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T23:05:28.030290Z

measured 67 of 67 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

67 of 67 outbound references displayed

  • verified exact1
  • verified fuzzy26
  • unresolved38
  • parse uncertain2
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3c1af173-46a5-4496-bd4e-3cfc68220fde · outbound

This paper cites Frontiers of Computer Science , volume=.

Progressive Agent Skill Generation via Reinforcement Learning Frontiers of Computer Science , volume=

Reference 3

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 5aaca5ab-9177-48c4-b020-bd1ea5d9d096 · outbound

This paper cites Multi-Step Reasoning with Large Language Models, a Survey , journal =.

Progressive Agent Skill Generation via Reinforcement Learning Multi-Step Reasoning with Large Language Models, a Survey , journal =

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation edcf499b-061d-4a4a-9baa-2785038d880d · outbound

This paper cites arXiv preprint arXiv:2509.09677 , year=.

Progressive Agent Skill Generation via Reinforcement Learning arXiv preprint arXiv:2509.09677 , year=

Reference 6

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Observation 858f2d22-b77b-434b-8c0a-c0e9e79985ee · outbound

This paper cites IEEE Transactions on Cognitive and Developmental Systems , year=.

Progressive Agent Skill Generation via Reinforcement Learning IEEE Transactions on Cognitive and Developmental Systems , year=

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 31d28bc9-b865-4c9c-9c8d-aa3b1341bdf5 · outbound

This paper cites an unresolved cited work.

Progressive Agent Skill Generation via Reinforcement Learning Unresolved cited work

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 265f9902-e1c1-47fd-9841-9e96605eefec · outbound

This paper cites 2025 , month = oct, howpublished =.

Progressive Agent Skill Generation via Reinforcement Learning 2025 , month = oct, howpublished =

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation d40bb2e2-fc90-4791-a14a-fdce8722497c · outbound

This paper cites MMSkills: Towards Multimodal Skills for General Visual Agents.

Progressive Agent Skill Generation via Reinforcement Learning MMSkills: Towards Multimodal Skills for General Visual Agents

Reference 23

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-04T23:05:27.821099Z digest=sha256:3eac2815bc0f96c702347ac8c0173bc7f6df862bb3fbf8501936e7dc11e2de58

Observation 238b6ebf-5396-4496-8f41-023b4d56f056 · outbound

This paper cites Proceedings of the 42nd International Conference on Machine Learning , year =.

Progressive Agent Skill Generation via Reinforcement Learning Proceedings of the 42nd International Conference on Machine Learning , year =

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-04T23:05:27.824016Z digest=sha256:c835e83b1521b7e52d6990a7852469a1d786838cc7be7780b112586f157802c4

Observation 991b7ac5-b164-4b96-b8ab-a1175f5e3b45 · outbound

This paper cites Proceedings of the 43rd International Conference on Machine Learning , year =.

Progressive Agent Skill Generation via Reinforcement Learning Proceedings of the 43rd International Conference on Machine Learning , year =

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-04T23:05:27.826698Z digest=sha256:14a5c01f135651caa6ccfd8ba0cca9a3d3cf93577fa66fda4120b44d87939eea

Observation 418070df-6779-4363-9539-9366b4c2d74c · outbound

This paper cites Advances in Neural Information Processing Systems 37 , address=.

Progressive Agent Skill Generation via Reinforcement Learning Advances in Neural Information Processing Systems 37 , address=

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-04T23:05:27.829298Z digest=sha256:a39a6bf6af57846f7302bc8244eac0eb49a722f048cb279c4777f2f3500c5272

Observation 8f669a0c-71cc-4a3c-abc5-93c2363e2219 · outbound

This paper cites Proceedings of the 38th AAAI Conference on Artificial Intelligence , pages=.

Progressive Agent Skill Generation via Reinforcement Learning Proceedings of the 38th AAAI Conference on Artificial Intelligence , pages=

Reference 28

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-04T23:05:27.834509Z digest=sha256:bc514ccd500e1ba68c1904b5ee776891fbf3224c7218f334a3b01461ee0b9d79

Observation 7b7f65fd-4b1a-4a77-864a-2fbb3a9a7aa6 · outbound

This paper cites 2026 , journal=.

Progressive Agent Skill Generation via Reinforcement Learning 2026 , journal=

Reference 32

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-04T23:05:27.846203Z digest=sha256:3a4254c41241beb3377a1289ac47ceed807f348f9d9f8dd6b9cd98a3de6e457f

Observation 96a78bcd-5374-4562-9340-a0144ce50c5e · outbound

This paper cites Nature , volume=.

Progressive Agent Skill Generation via Reinforcement Learning Nature , volume=

Reference 36

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-04T23:05:27.857582Z digest=sha256:69a428620c547f43c3c417995ae6ecc05f2de6175874624474a1fbc1d0ea5afb

Observation 42f268c7-641e-44a4-81af-1cf871821fae · outbound

This paper cites Advances in Neural Information Processing Systems 38 , address=.

Progressive Agent Skill Generation via Reinforcement Learning Advances in Neural Information Processing Systems 38 , address=

Reference 38

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-04T23:05:27.863011Z digest=sha256:b41950b47728c262b2fad2f22db369cf4fc2c1d56874d25c16beb733610c8f15

Observation 76e35532-27dd-4410-8e6d-cd0b85618a79 · outbound

This paper cites Proceedings of the 14th International Conference on Learning Representations , address=.

Progressive Agent Skill Generation via Reinforcement Learning Proceedings of the 14th International Conference on Learning Representations , address=

Reference 39

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verified fuzzy
raw_fallback, observed 2026-08-04T23:05:28.541264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-04T23:05:27.865550Z digest=sha256:93d95fa6eafac53464be6e7c7e858a7bd3cc798c65665013e5ca42728173fdab

Observation b1dce3c0-41b2-42b0-a255-4443652ab332 · outbound

This paper cites an unresolved cited work.

Progressive Agent Skill Generation via Reinforcement Learning Unresolved cited work

Reference 49

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parse uncertain
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 647db753-6a19-48a9-8f22-a6a2aafa09b0 · outbound

This paper cites an unresolved cited work.

Progressive Agent Skill Generation via Reinforcement Learning Unresolved cited work

Reference 50

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-04T23:05:27.896666Z digest=sha256:46b3d4d3b8c4d6488d5265afdb24da4174a1718632d945f8614cdcdadfe05a22

Observation a3e7a49f-d105-4213-a994-46e0c068ab2c · outbound

This paper cites Introducing.

Progressive Agent Skill Generation via Reinforcement Learning Introducing

Reference 51

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T23:05:27.899347Z digest=sha256:4d9e7368690288c834847d1b39350d532f7254befd40d49b5cf1c4b8569ad92c

Observation e83452c4-0407-47ae-8040-cbcf054c179c · outbound

This paper cites Claude S kills.

Progressive Agent Skill Generation via Reinforcement Learning Claude S kills

Reference 52

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 9f83fb03-d4ba-407b-8f1d-4c4789069ee0 · outbound

This paper cites Introducing claude sonnet 4.5, 2025.

Progressive Agent Skill Generation via Reinforcement Learning Introducing claude sonnet 4.5, 2025

Reference 53

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-04T23:05:27.905124Z digest=sha256:e3c602e1284ce5ae900b874bd2f990ca5ac097e53e4b39f8ea864bbcc234312a

Observation 652d3df7-90e9-4506-bf32-76a77a09d9ee · outbound

This paper cites Skill creator.

Progressive Agent Skill Generation via Reinforcement Learning Skill creator

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T23:05:28.491871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-04T23:05:27.908024Z digest=sha256:a856181a6543d30f0de6632d87d286d0bb99fedac20f802f3e19f24294deef11

Observation 452d5077-f516-4bad-a269-6b5a348ad61b · outbound

This paper cites ^2 -bench: Evaluating conversational agents in a dual-control environment.

Progressive Agent Skill Generation via Reinforcement Learning ^2 -bench: Evaluating conversational agents in a dual-control environment

Reference 55

Resolution
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raw_fallback, observed 2026-08-04T23:05:28.483806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 62978a79-8d8e-4f89-8939-36ad588aa2bb · outbound

This paper cites Agent-R1: A Unified and Modular Framework for Agentic Reinforcement Learning.

Progressive Agent Skill Generation via Reinforcement Learning Agent-R1: A Unified and Modular Framework for Agentic Reinforcement Learning

Reference 56

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no resolver link, observed 2026-08-04T23:05:27.914055Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T23:05:27.914055Z digest=sha256:ce797cbe9d92442f294508ffcbbd422c0e01724010ff9694cf1b72b3b253a63f

Observation 2e56c6b9-cfa6-4ced-9ff4-f54073dfc72c · outbound

This paper cites an unresolved cited work.

Progressive Agent Skill Generation via Reinforcement Learning Unresolved cited work

Reference 57

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raw_fallback, observed 2026-08-04T23:05:28.475373Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-04T23:05:27.916890Z digest=sha256:db6e41b1eb8efe7d01127b2cdaeaa60b25fc75034ed301cdd558d32730060f48

Observation 9cb56fa8-a0c2-4e6e-8dbc-f8f6381b0205 · outbound

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

Progressive Agent Skill Generation via Reinforcement Learning Deepseek-v4: Towards highly efficient million-token context intelligence

Reference 58

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no resolver link, observed 2026-08-04T23:05:27.920394Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T23:05:27.920394Z digest=sha256:54df4e81b30aaa2537d9f66f26731b568f2f0835e479f8072b4bd28b6f3c1dbd

Observation 9e9e046d-9bc3-4816-9e1b-cff41e88442a · outbound

This paper cites Cl-bench: A benchmark for context learning.

Progressive Agent Skill Generation via Reinforcement Learning Cl-bench: A benchmark for context learning

Reference 59

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no resolver link, observed 2026-08-04T23:05:27.923610Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T23:05:27.923610Z digest=sha256:a042223a6d6ee3afe08d2a6f4305a8a9295f579b45505c4f7ce3cff0b3888f37

Observation ffa52760-beab-41cc-baff-196a4c87d34c · outbound

This paper cites Understanding the planning of LLM agents: A survey.

Progressive Agent Skill Generation via Reinforcement Learning Understanding the planning of LLM agents: A survey

Reference 60

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no resolver link, observed 2026-08-04T23:05:27.926112Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T23:05:27.926112Z digest=sha256:52204d768be390c67582a6d626fb3795b7cf9cf19f2da1fcf0f12bcd15bc9bf0

Observation 9b7ec4b8-cf97-4d03-bd0b-799d3987326f · outbound

This paper cites From Raw Experience to Skill Consumption: A Systematic Study of Model-Generated Agent Skills.

Progressive Agent Skill Generation via Reinforcement Learning From Raw Experience to Skill Consumption: A Systematic Study of Model-Generated Agent Skills

Reference 61

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no resolver link, observed 2026-08-04T23:05:27.928666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T23:05:27.928666Z digest=sha256:df446a68398255552fd4d8a123b7a6d29f9c44a71117b947bccb7f82b9d24828

Observation 61c83bca-dc60-41cd-a6ab-c618cb31f524 · outbound

This paper cites Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning.

Progressive Agent Skill Generation via Reinforcement Learning Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning

Reference 62

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no resolver link, observed 2026-08-04T23:05:27.931481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T23:05:27.931481Z digest=sha256:60580b8247b8460505e89959e62939a5d72edcaea1b867f4c57bf129d6799853

Observation 8b3df68c-1af3-43df-ae42-4f0fe52c7d8d · outbound

This paper cites SkillsBench: Benchmarking How Well Agent Skills Work Across Diverse Tasks.

Progressive Agent Skill Generation via Reinforcement Learning SkillsBench: Benchmarking How Well Agent Skills Work Across Diverse Tasks

Reference 63

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no resolver link, observed 2026-08-04T23:05:27.933946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T23:05:27.933946Z digest=sha256:ede57deb4b17e4630d5c3cf40f54a84ccca1279de04422db4007bca303c3698c

Observation 05877cd5-5ffe-4f1a-9b12-286a45b46ca7 · outbound

This paper cites ToRL: Scaling Tool-Integrated RL.

Progressive Agent Skill Generation via Reinforcement Learning ToRL: Scaling Tool-Integrated RL

Reference 64

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no resolver link, observed 2026-08-04T23:05:27.937398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T23:05:27.937398Z digest=sha256:ac8e10c7fe3c2bd569e12a65f227e66653f7c12051f59f3afe60322049f1933e

Observation f692f90f-233d-4720-b6ee-dadbe60e2d73 · outbound

This paper cites Graph-of-Skills: Dependency-Aware Structural Retrieval for Massive Agent Skills.

Progressive Agent Skill Generation via Reinforcement Learning Graph-of-Skills: Dependency-Aware Structural Retrieval for Massive Agent Skills

Reference 65

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no resolver link, observed 2026-08-04T23:05:27.939864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T23:05:27.939864Z digest=sha256:8ab932b5e52e54185bec09a186b1bf118f31d3ae2ef788a93d303e704a3c8a93

Observation 418700e1-024f-4509-b13a-4ec88182d858 · outbound

This paper cites Large Language Model Agent: A Survey on Methodology, Applications and Challenges.

Progressive Agent Skill Generation via Reinforcement Learning Large Language Model Agent: A Survey on Methodology, Applications and Challenges

Reference 66

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no resolver link, observed 2026-08-04T23:05:27.942305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T23:05:27.942305Z digest=sha256:6904bf955cbcb54c2535ea3f98fe8aee6418344fab32f4df2b550a243eec2f64

Observation ad3ab113-a182-450c-9cdf-eac33bd82fd5 · outbound

This paper cites Spreadsheetbench: Towards challenging real world spreadsheet manipulation.

Progressive Agent Skill Generation via Reinforcement Learning Spreadsheetbench: Towards challenging real world spreadsheet manipulation

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T23:05:28.467231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-04T23:05:27.944677Z digest=sha256:f540b8ee669172d886409629e6ab3ebd4055b8a707af6e8a26cf8b1df8cb1a45

Observation f68659d9-cede-4d25-957c-3a8e1c611997 · outbound

This paper cites Skill-Pro: Learning Reusable Skills from Experience via Non-Parametric PPO for LLM Agents.

Progressive Agent Skill Generation via Reinforcement Learning Skill-Pro: Learning Reusable Skills from Experience via Non-Parametric PPO for LLM Agents

Reference 68

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no resolver link, observed 2026-08-04T23:05:27.947213Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T23:05:27.947213Z digest=sha256:22d243db969a58d8ee37e8bbf424777a229055772e82f6817e3bfbacac5df444

Observation c7b28f51-3e45-4554-a1b4-5f947d040721 · outbound

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

Progressive Agent Skill Generation via Reinforcement Learning Trace2Skill: Distill Trajectory-Local Lessons into Transferable Agent Skills

Reference 69

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no resolver link, observed 2026-08-04T23:05:27.949871Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T23:05:27.949871Z digest=sha256:c5e5a6d5bfe88b32a31a2f2714a7f4bc5c340594c3e982233dc88405776c87f6

Observation 7b426908-3b16-4d25-85f5-1ed875f2e8b1 · outbound

This paper cites Hello GPT-4o , 2024.

Progressive Agent Skill Generation via Reinforcement Learning Hello GPT-4o , 2024

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T23:05:28.458158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-04T23:05:27.952285Z digest=sha256:d28cdce61cc67a1c6c07878e4e600aff68078e1fff5ca2f5621d0296810c19f1

Observation 2678ab4c-9847-4990-a95e-386b1c87c70f · outbound

This paper cites Introducing GPT‑5.5 , 2026.

Progressive Agent Skill Generation via Reinforcement Learning Introducing GPT‑5.5 , 2026

Reference 71

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verified fuzzy
raw_fallback, observed 2026-08-04T23:05:28.449539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-04T23:05:27.954933Z digest=sha256:4ed540a5ccdea5cfe0593dd6925a660bb0d26cb7fbf85b947160de465ea60ab2

Observation 2e0d3970-fd12-427a-8d85-bab06d76db04 · outbound

This paper cites SkillOS: Learning Skill Curation for Self-Evolving Agents.

Progressive Agent Skill Generation via Reinforcement Learning SkillOS: Learning Skill Curation for Self-Evolving Agents

Reference 72

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no resolver link, observed 2026-08-04T23:05:27.957927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T23:05:27.957927Z digest=sha256:b639bd62323dcea73448808cb2b20c2f454846980c09e8ab8fe7e5023d9591c9

Observation fdc7663c-4e8f-4dea-bb9e-2d831c8889d3 · outbound

This paper cites Multi-step reasoning with large language models, a survey.

Progressive Agent Skill Generation via Reinforcement Learning Multi-step reasoning with large language models, a survey

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T23:05:28.440987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-04T23:05:27.960383Z digest=sha256:a317f10365ddcb3a1b01930183df01b43035a5fde4a72582eb1c2056bb15d85a

Observation 2ea62fda-50e5-4f86-b47c-1711cdedaf18 · outbound

This paper cites WebRL: Training LLM Web Agents via Self-Evolving Online Curriculum Reinforcement Learning.

Progressive Agent Skill Generation via Reinforcement Learning WebRL: Training LLM Web Agents via Self-Evolving Online Curriculum Reinforcement Learning

Reference 74

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no resolver link, observed 2026-08-04T23:05:27.962904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T23:05:27.962904Z digest=sha256:17fb1f1748c03ccd91ef5ecef7a947b8b663b8d66aa98a79527fe95abe456c10

Observation 254a870f-9fa8-40ce-8923-ad3051078fbe · outbound

This paper cites Proximal Policy Optimization Algorithms.

Progressive Agent Skill Generation via Reinforcement Learning Proximal Policy Optimization Algorithms

Reference 75

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unresolved
no resolver link, observed 2026-08-04T23:05:27.965357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T23:05:27.965357Z digest=sha256:a7a86f20a781ba3071c2068f40cf057c6e7aed0eaf2d102e431a6c886ff6e623

Observation 6ad31d95-ebcb-4bf8-a2f8-936cc4d69a0f · outbound

This paper cites Semi-off-policy reinforcement learning for vision-language slow-thinking reasoning.

Progressive Agent Skill Generation via Reinforcement Learning Semi-off-policy reinforcement learning for vision-language slow-thinking reasoning

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T23:05:28.431895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-04T23:05:27.967896Z digest=sha256:b7a2f4f98f59dc0addadd8199ba9076fde68e4831edd0b55744b871edc732ab2

Observation 2d896903-6421-4cb4-9a19-23a45dbbc1fb · outbound

This paper cites Dynamic Skill Lifecycle Management for Agentic Reinforcement Learning.

Progressive Agent Skill Generation via Reinforcement Learning Dynamic Skill Lifecycle Management for Agentic Reinforcement Learning

Reference 77

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unresolved
no resolver link, observed 2026-08-04T23:05:27.970524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T23:05:27.970524Z digest=sha256:6d63609d645d43a17356579904bbbde9b6662840789d8c296df2e21c947743d5

Observation 262de383-b842-4c0d-8703-b2855a0e34b8 · outbound

This paper cites LLM With Tools: A Survey.

Progressive Agent Skill Generation via Reinforcement Learning LLM With Tools: A Survey

Reference 78

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unresolved
no resolver link, observed 2026-08-04T23:05:27.972854Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T23:05:27.972854Z digest=sha256:5bb9ccc259483bca88a3b36b1719c492866d19e12feb4b2f5baf03bd49f2aa51

Observation 9a13240c-87c7-4aec-aedf-dbceb3b270d2 · outbound

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

Progressive Agent Skill Generation via Reinforcement Learning From Context to Skills: Can Language Models Learn from Context Skillfully?

Reference 79

Resolution
unresolved
no resolver link, observed 2026-08-04T23:05:27.975227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T23:05:27.975227Z digest=sha256:5d43dbae3ce5c8ab9e7a968487e4a3805e6f0e64914f58c7df03619d1890ed1b

Observation 7d7c8b43-19a8-40fe-b9ac-cb0baba33fe2 · outbound

This paper cites Agentic Reasoning and Tool Integration for LLMs via Reinforcement Learning.

Progressive Agent Skill Generation via Reinforcement Learning Agentic Reasoning and Tool Integration for LLMs via Reinforcement Learning

Reference 80

Resolution
unresolved
no resolver link, observed 2026-08-04T23:05:27.977914Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T23:05:27.977914Z digest=sha256:3800faaab3e86cac8acb8bd5c1f4f5e2ebea77091f78abed774890572c424c65

Observation 610eb47e-a484-4ef4-82eb-2a7f969c7a71 · outbound

This paper cites SkillX: Automatically Constructing Skill Knowledge Bases for Agents.

Progressive Agent Skill Generation via Reinforcement Learning SkillX: Automatically Constructing Skill Knowledge Bases for Agents

Reference 81

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unresolved
no resolver link, observed 2026-08-04T23:05:27.980342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T23:05:27.980342Z digest=sha256:4058dc688d97e9124ba831b249de3af6bc3e912ac2ab491bf871d3bea80ebc8b

Observation 068f60e1-aeb2-467d-adcc-9164d63f9211 · outbound

This paper cites Voyager: An Open-Ended Embodied Agent with Large Language Models.

Progressive Agent Skill Generation via Reinforcement Learning Voyager: An Open-Ended Embodied Agent with Large Language Models

Reference 82

Resolution
unresolved
no resolver link, observed 2026-08-04T23:05:27.982772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T23:05:27.982772Z digest=sha256:30daffac71a6d45096596fdc47aeacf4e5bddf64bb9b77bdb9c4aacfcb623114

Observation 1819b5d2-f1c4-4b81-bf6b-fca6a0a3732e · outbound

This paper cites Skill-SD: Skill-Conditioned Self-Distillation for Multi-turn LLM Agents.

Progressive Agent Skill Generation via Reinforcement Learning Skill-SD: Skill-Conditioned Self-Distillation for Multi-turn LLM Agents

Reference 83

Resolution
unresolved
no resolver link, observed 2026-08-04T23:05:27.985422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T23:05:27.985422Z digest=sha256:68a840878657a336dac7db9b4bd814cd2be840b803bd069d3e7400182a18abef

Observation 6dc84434-9f06-407c-9a88-9bcd4fd31282 · outbound

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

Progressive Agent Skill Generation via Reinforcement Learning Reinforcement Learning for Self-Improving Agent with Skill Library

Reference 84

Resolution
unresolved
no resolver link, observed 2026-08-04T23:05:27.988002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T23:05:27.988002Z digest=sha256:20aeff156eefcabc986eaaee05b0ef8fb7dd0f7e1494f6031309faddf4db6f76

Observation 4c1ea698-693c-437c-931c-23aba5ae5d31 · outbound

This paper cites A survey on large language model based autonomous agents.

Progressive Agent Skill Generation via Reinforcement Learning A survey on large language model based autonomous agents

Reference 85

Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T23:05:28.422235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-04T23:05:27.990391Z digest=sha256:d830190f462586615557ec4aecfdae9cbfc82bc68a10dab38a8873ddd373b262

Observation 84275c76-3b2f-4567-ad47-68e22bf777e4 · outbound

This paper cites Mem-{\alpha}: Learning Memory Construction via Reinforcement Learning.

Progressive Agent Skill Generation via Reinforcement Learning Mem-{\alpha}: Learning Memory Construction via Reinforcement Learning

Reference 86

Resolution
unresolved
no resolver link, observed 2026-08-04T23:05:27.993155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T23:05:27.993155Z digest=sha256:3c80a66320cfe351852bd23784508d9cedb31dbc725c0908d8034b66614859f4

Observation 27cf0e72-0a7f-4ef3-917d-c8132bad2a8a · outbound

This paper cites WebXSkill: Skill Learning for Autonomous Web Agents.

Progressive Agent Skill Generation via Reinforcement Learning WebXSkill: Skill Learning for Autonomous Web Agents

Reference 87

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no resolver link, observed 2026-08-04T23:05:27.995723Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T23:05:27.995723Z digest=sha256:3e65c6a8a125cc7fe00c56ae14f5fadbec7205a52a88ef6e0cf510385b4e5b95

Observation 762e21b8-d57b-4ed3-af63-66ec847d4b44 · outbound

This paper cites Effiskill: Agent skill based automated code efficiency optimization.

Progressive Agent Skill Generation via Reinforcement Learning Effiskill: Agent skill based automated code efficiency optimization

Reference 88

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unresolved
no resolver link, observed 2026-08-04T23:05:27.998484Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T23:05:27.998484Z digest=sha256:a974b3431f57d61dd81e9356b278e40309fbb21c22e7130c938c533a77fee589

Observation 0ed1852c-922f-4e92-97f2-f1f9ca153f2d · outbound

This paper cites Agent workflow memory.

Progressive Agent Skill Generation via Reinforcement Learning Agent workflow memory

Reference 89

Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T23:05:28.412904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-04T23:05:28.001064Z digest=sha256:55b74b96f7e7e700c14acbd08753f982b712823653edeb67d259a73a28ffd5d5

Observation 4e0c2f79-9a8c-4811-8cef-af6d02df4dbf · outbound

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

Progressive Agent Skill Generation via Reinforcement Learning SkillRL: Evolving Agents via Recursive Skill-Augmented Reinforcement Learning

Reference 90

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unresolved
no resolver link, observed 2026-08-04T23:05:28.003819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T23:05:28.003819Z digest=sha256:e7656013ce431d7d03299805acbf55bf942c962b296d2e3b069a1f2635c254c1

Observation da6e4c76-6acd-41b6-8eab-7a73ff81bf54 · outbound

This paper cites Speci: Skill prompts based hierarchical continual imitation learning for robot manipulation.

Progressive Agent Skill Generation via Reinforcement Learning Speci: Skill prompts based hierarchical continual imitation learning for robot manipulation

Reference 91

Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T23:05:28.403162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-04T23:05:28.006436Z digest=sha256:5c51120a1c1e859a7cd0859d0616d05cf5a88bdd23d81165c5ad8a5ac11881e2

Observation c56bb74f-1ff1-4854-aee5-2d6635a3de2a · outbound

This paper cites Memory-R1: Enhancing Large Language Model Agents to Manage and Utilize Memories via Reinforcement Learning.

Progressive Agent Skill Generation via Reinforcement Learning Memory-R1: Enhancing Large Language Model Agents to Manage and Utilize Memories via Reinforcement Learning

Reference 92

Resolution
unresolved
no resolver link, observed 2026-08-04T23:05:28.009273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T23:05:28.009273Z digest=sha256:168b94f9cee0363b7cb029b44d0a2e64e77391a6880ff63a3164dc8a6eea7b04

Observation 6e6bf399-a47a-4cd5-8957-bc78a3ce8b8e · outbound

This paper cites Qwen3 Technical Report.

Progressive Agent Skill Generation via Reinforcement Learning Qwen3 Technical Report

Reference 93

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unresolved
no resolver link, observed 2026-08-04T23:05:28.011792Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T23:05:28.011792Z digest=sha256:8116e8fbcf7d4626c99f30c99bf546275b84bb34ece195f69df63a225be1b599

Observation 0739c0cd-8681-41b1-b69a-2d073ca4e438 · outbound

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

Progressive Agent Skill Generation via Reinforcement Learning Autoskill: Experience-driven lifelong learning via skill self-evolution

Reference 94

Resolution
unresolved
no resolver link, observed 2026-08-04T23:05:28.014349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T23:05:28.014349Z digest=sha256:2e49667b89cbfe231ea4e892390d90af7653e308f9011cd84df69b5535fd7113

Observation 45de0d20-33d0-4800-8798-d955e3ff9545 · outbound

This paper cites DAPO: An Open-Source LLM Reinforcement Learning System at Scale.

Progressive Agent Skill Generation via Reinforcement Learning DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Reference 95

Resolution
unresolved
no resolver link, observed 2026-08-04T23:05:28.016788Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T23:05:28.016788Z digest=sha256:2ac096586a42fec68e2516fbd33359cf2105fcf37cb4015fdcc0edd1bc7076a1

Observation e4e524c4-6971-4217-8fe2-d98dfe914bfe · outbound

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

Progressive Agent Skill Generation via Reinforcement Learning Group of Skills: Group-Structured Skill Retrieval for Agent Skill Libraries

Reference 96

Resolution
verified exact
local_arxiv, observed 2026-08-04T23:05:28.312751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-04T23:05:28.019525Z digest=sha256:f2db7b5a6ff52cfa78f14f3053c204b6315b88da694df567fe13cc8ffbf8d8b3

Observation a96adf7e-a1e8-45c2-9dda-fe62478a2b98 · outbound

This paper cites Expel: Llm agents are experiential learners.

Progressive Agent Skill Generation via Reinforcement Learning Expel: Llm agents are experiential learners

Reference 97

Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T23:05:28.393932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-04T23:05:28.022545Z digest=sha256:77392604d667e4e5c4a64133db6554f666dbdf30d123d5ae5b5920d6f6d6723c

Observation 35daa969-9898-45fd-8007-18dd6d8f94a3 · outbound

This paper cites Achieving olympia-level geometry large language model agent via complexity boosting reinforcement learning.

Progressive Agent Skill Generation via Reinforcement Learning Achieving olympia-level geometry large language model agent via complexity boosting reinforcement learning

Reference 98

Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T23:05:28.384426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-04T23:05:28.025155Z digest=sha256:c0882c0db9ae1ac03f5594d8ac3f3f91161d90896facdab2132f23e145ca58d1

Observation c510e8d0-733c-4dc1-b50e-b8b0006b09f9 · outbound

This paper cites SkillRouter: Skill Routing for LLM Agents at Scale.

Progressive Agent Skill Generation via Reinforcement Learning SkillRouter: Skill Routing for LLM Agents at Scale

Reference 99

Resolution
unresolved
no resolver link, observed 2026-08-04T23:05:28.027822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T23:05:28.027822Z digest=sha256:c59ca54500ed4ad05b2b94a230bcdaeb098a98be5773bbb69fec43646a7ccace

Observation bb6d8646-d636-4d53-87f4-50d3fca7a272 · outbound

This paper cites SkillGenBench: Benchmarking Skill Generation Pipelines for LLM Agents.

Progressive Agent Skill Generation via Reinforcement Learning SkillGenBench: Benchmarking Skill Generation Pipelines for LLM Agents

Reference 100

Resolution
unresolved
no resolver link, observed 2026-08-04T23:05:28.030290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T23:05:28.030290Z digest=sha256:4150e353de93185ebeea8f6bc49fe89b72abf07cad5ccde3cfb2f613c4b6ea3e

Pith citing papers

No inbound Pith citation observations are available.