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Paper Citation Record · LEDGER

SkillOpt-Lite: Better and Faster Agent Self-evolution via One Line of Vibe

As of 10 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 5 inbound Pith citation observations for arXiv:2607.03451.

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

pith.paper-citation-record.v1
2607.03451 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-12T02:24:07.555850Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T04:26:29.330870Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T04:26:29.806523Z

Reference resolution

30 of 30 outbound references displayed

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  • unresolved30
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  • malformed identifier0
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External citation measurements

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Outbound references

Observation d40bc934-e8c9-4ffb-b167-6676393a54c0 · outbound

This paper cites Claude code: An agentic command line tool.https://docs.anthropic.com/ en/docs/agents-and-tools/claude-code/overview, 2025.

SkillOpt-Lite: Better and Faster Agent Self-evolution via One Line of Vibe Claude code: An agentic command line tool.https://docs.anthropic.com/ en/docs/agents-and-tools/claude-code/overview, 2025

Reference 1

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source=pdf_text observed=2026-07-12T02:24:07.555850Z digest=sha256:1f8eb1e519e407788ebc5c0f50d2626368b1615076be940846deb410e1069719

Observation 0d236a75-a0d7-49cf-a500-c67d009e59e2 · outbound

This paper cites Openclaw: An open-source agentic command-line assistant.https: //github.com/openclaw/openclaw, 2025.

SkillOpt-Lite: Better and Faster Agent Self-evolution via One Line of Vibe Openclaw: An open-source agentic command-line assistant.https: //github.com/openclaw/openclaw, 2025

Reference 2

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source=pdf_text observed=2026-07-12T02:24:07.555850Z digest=sha256:60f09492d152e8b21fdb6d6a113ec5c9b342775dfb80dcc0f8b1ba698959fd23

Observation c77f8ca9-6443-4b97-ac57-4937166a5c80 · outbound

This paper cites Hermes agent.

SkillOpt-Lite: Better and Faster Agent Self-evolution via One Line of Vibe Hermes agent

Reference 3

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source=pdf_text observed=2026-07-12T02:24:07.555850Z digest=sha256:a078fb518361d396954889196bcbd360a558ea7d9c280b161eebe25a508f68ae

Observation f513317b-ca16-40f5-b8ce-e6ddba443ebf · outbound

This paper cites SkillOpt: Executive Strategy for Self-Evolving Agent Skills.

SkillOpt-Lite: Better and Faster Agent Self-evolution via One Line of Vibe SkillOpt: Executive Strategy for Self-Evolving Agent Skills

Reference 4

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source=pdf_text observed=2026-07-12T02:24:07.555850Z digest=sha256:f24f36133dc64df67b5f4f1c0576947e2574bc79216c5e751ea981abb931f7d5

Observation c67638b9-1527-4f91-8c25-a33516c89afa · outbound

This paper cites Swe-agent: Agent-computer interfaces enable automated software engineering.Advances in Neural Information Processing Systems, 37:50528–50652, 2024.

SkillOpt-Lite: Better and Faster Agent Self-evolution via One Line of Vibe Swe-agent: Agent-computer interfaces enable automated software engineering.Advances in Neural Information Processing Systems, 37:50528–50652, 2024

Reference 5

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source=pdf_text observed=2026-07-12T02:24:07.555850Z digest=sha256:14c6164dc9afcc158419fef342f52badc311da9ffd90019c3296179febc84b44

Observation 34e97ecb-e88e-472c-98b9-b84d8aa630f4 · outbound

This paper cites Meta-Harness: End-to-End Optimization of Model Harnesses.

SkillOpt-Lite: Better and Faster Agent Self-evolution via One Line of Vibe Meta-Harness: End-to-End Optimization of Model Harnesses

Reference 6

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source=pdf_text observed=2026-07-12T02:24:07.555850Z digest=sha256:e1acef8334c8cd310515c1bfa7e2dd148957d32db33343f30ce3cdb6975389c8

Observation 3d1c4725-3b14-42e4-90cb-585a505f6ca8 · outbound

This paper cites Agentic Harness Engineering: Observability-Driven Automatic Evolution of Coding-Agent Harnesses.

SkillOpt-Lite: Better and Faster Agent Self-evolution via One Line of Vibe Agentic Harness Engineering: Observability-Driven Automatic Evolution of Coding-Agent Harnesses

Reference 7

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source=pdf_text observed=2026-07-12T02:24:07.555850Z digest=sha256:9d73666b4fb4ed79eb26eba61c00a3527247c2d1510cdc7d6ce5fd25a30eecf0

Observation 94140b0d-d2bf-4b25-bfeb-a3b49565dba7 · outbound

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

SkillOpt-Lite: Better and Faster Agent Self-evolution via One Line of Vibe Trace2Skill: Distill Trajectory-Local Lessons into Transferable Agent Skills

Reference 8

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source=pdf_text observed=2026-07-12T02:24:07.555850Z digest=sha256:ecb3321181e325233674e141c7f15e35357a03e5dadb7bb9c78eafc321f140f9

Observation f1147114-6f46-422d-8f59-97efbd9b1004 · outbound

This paper cites Re- flexion: Language agents with verbal reinforcement learning.Advances in neural information processing systems, 36:8634–8652, 2023.

SkillOpt-Lite: Better and Faster Agent Self-evolution via One Line of Vibe Re- flexion: Language agents with verbal reinforcement learning.Advances in neural information processing systems, 36:8634–8652, 2023

Reference 9

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source=pdf_text observed=2026-07-12T02:24:07.555850Z digest=sha256:0460108e055719fe1b218cefc242ce68846c6c150a1250fb9535d5d4702aa549

Observation 61891448-5f9f-4830-8226-60221ab37bd9 · outbound

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

SkillOpt-Lite: Better and Faster Agent Self-evolution via One Line of Vibe Voyager: An Open-Ended Embodied Agent with Large Language Models

Reference 10

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source=pdf_text observed=2026-07-12T02:24:07.555850Z digest=sha256:766b48019f9f1fe426812c6649e9f2da3e8ebe864ca7f7d7790f8cdbd7ef1d2f

Observation 65e7a471-fe11-41ba-b13c-883d716d29a7 · outbound

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

SkillOpt-Lite: Better and Faster Agent Self-evolution via One Line of Vibe SkillAdaptor: Self-Adapting Skills for LLM Agents from Trajectories

Reference 11

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source=pdf_text observed=2026-07-12T02:24:07.555850Z digest=sha256:aa2c7a7adf55c2cc09072da33a99221f1fca35dbc2046e4dd94859403520d6af

Observation 05c5c357-6007-4aac-8aaf-6eae1f49c6b0 · outbound

This paper cites SkillForge: Forging Domain-Specific, Self-Evolving Agent Skills in Cloud Technical Support.

SkillOpt-Lite: Better and Faster Agent Self-evolution via One Line of Vibe SkillForge: Forging Domain-Specific, Self-Evolving Agent Skills in Cloud Technical Support

Reference 12

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source=pdf_text observed=2026-07-12T02:24:07.555850Z digest=sha256:9a505ffad59752047df46c69f33cfa9110e1b1fa2f60de439aacb3ae774e29ab

Observation 5ed1bd9e-6799-4968-a61d-d565ac33e690 · outbound

This paper cites SkillCAT: Contrastive, Assessment-Augmented and Topology-AwareSkill Self-Evolution for LLM Agents.

SkillOpt-Lite: Better and Faster Agent Self-evolution via One Line of Vibe SkillCAT: Contrastive, Assessment-Augmented and Topology-AwareSkill Self-Evolution for LLM Agents

Reference 13

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source=pdf_text observed=2026-07-12T02:24:07.555850Z digest=sha256:2d4590056da6e7466d710910133d7772c783784636660362aa11a3e9116310ea

Observation 4dde0c80-a575-4679-a151-280bb36a0b5b · outbound

This paper cites Claude Code Source Code.

SkillOpt-Lite: Better and Faster Agent Self-evolution via One Line of Vibe Claude Code Source Code

Reference 14

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source=pdf_text observed=2026-07-12T02:24:07.555850Z digest=sha256:69d43b4d49b2fa07a797a19589415294554e57ae2f9251e601115fcf31453e3f

Observation f816e1eb-e84a-4dc1-ac4f-60e4585ace3f · outbound

This paper cites A primer on zeroth-order optimization in signal processing and machine learning: Principals, recent advances, and applications.IEEE Signal Processing Magazine, 37(5):43–54, 2020.

SkillOpt-Lite: Better and Faster Agent Self-evolution via One Line of Vibe A primer on zeroth-order optimization in signal processing and machine learning: Principals, recent advances, and applications.IEEE Signal Processing Magazine, 37(5):43–54, 2020

Reference 15

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source=pdf_text observed=2026-07-12T02:24:07.555850Z digest=sha256:ac608d476c00d6bf8005efc00ccacb07f66726c67d5791845e9df32f1d58755b

Observation dd4eaf6a-c445-4ca8-a01d-ef52d3ec1c30 · outbound

This paper cites SoftSkill: Behavioral Compression for Contextual Adaptation.

SkillOpt-Lite: Better and Faster Agent Self-evolution via One Line of Vibe SoftSkill: Behavioral Compression for Contextual Adaptation

Reference 16

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source=pdf_text observed=2026-07-12T02:24:07.555850Z digest=sha256:92139da5b8da04d3de46646210ee0f6d5ad4e93322bee070fde79d5ef25cffc0

Observation d1f845a6-dd5d-4b00-b703-8b05dc8f32d2 · outbound

This paper cites Learnability and stability in the vapnik-chervonenkis sense.The Annals of Statistics, 38(5):2642–2696, 2010.

SkillOpt-Lite: Better and Faster Agent Self-evolution via One Line of Vibe Learnability and stability in the vapnik-chervonenkis sense.The Annals of Statistics, 38(5):2642–2696, 2010

Reference 17

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Observation eb28dc51-eb55-46e7-933a-b623e1c0fcc3 · outbound

This paper cites Cambridge University Press, 2023.

SkillOpt-Lite: Better and Faster Agent Self-evolution via One Line of Vibe Cambridge University Press, 2023

Reference 18

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source=pdf_text observed=2026-07-12T02:24:07.555850Z digest=sha256:b4d043573a736bbc92ff4f5b019f068ff465854c55b5bdf42cf707dad90100db

Observation ba587b15-086d-40ee-91c0-81dfd87f0b4c · outbound

This paper cites GitHub Copilot.https://github.com/features/copilot, 2021.

SkillOpt-Lite: Better and Faster Agent Self-evolution via One Line of Vibe GitHub Copilot.https://github.com/features/copilot, 2021

Reference 19

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source=pdf_text observed=2026-07-12T02:24:07.555850Z digest=sha256:456f20244a458f29157a084ca77b205bbf86ebe0fa640471d27a747485d65dd6

Observation 417d179a-ceae-47ef-8922-947b355afd2b · outbound

This paper cites Spreadsheetbench: Towards challenging real world spreadsheet manipulation.Advances in Neural Information Processing Systems, 37:94871–94908, 2024.

SkillOpt-Lite: Better and Faster Agent Self-evolution via One Line of Vibe Spreadsheetbench: Towards challenging real world spreadsheet manipulation.Advances in Neural Information Processing Systems, 37:94871–94908, 2024

Reference 20

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source=pdf_text observed=2026-07-12T02:24:07.555850Z digest=sha256:78f1e840b4fcc30312c3e729e6f47cd3e0c445774f947dae6e78aaf1a61eb82c

Observation 21ab1543-8013-4dcc-a7ab-8fffe85a5793 · outbound

This paper cites ALFWorld: Aligning Text and Embodied Environments for Interactive Learning.

SkillOpt-Lite: Better and Faster Agent Self-evolution via One Line of Vibe ALFWorld: Aligning Text and Embodied Environments for Interactive Learning

Reference 21

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source=pdf_text observed=2026-07-12T02:24:07.555850Z digest=sha256:79b9229d4c0cf14a61aec83852f73b1ad9b51de8a2d0f7f9727f9db10f001481

Observation 43476252-80c5-43ea-99a1-f31a4996aa3e · outbound

This paper cites Livemathematicianbench: A live benchmark for mathematician-level reasoning with proof sketches.arXiv preprint arXiv:2604.01754, 2026.

SkillOpt-Lite: Better and Faster Agent Self-evolution via One Line of Vibe Livemathematicianbench: A live benchmark for mathematician-level reasoning with proof sketches.arXiv preprint arXiv:2604.01754, 2026

Reference 22

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source=pdf_text observed=2026-07-12T02:24:07.555850Z digest=sha256:a11d46763a973450b1e21d3017fb470222ebade49d06df205a174bdbc6e96ae0

Observation 5eddd4d6-151a-41d5-9cb9-b7ca0b9a8898 · outbound

This paper cites Docvqa: A dataset for vqa on document images.

SkillOpt-Lite: Better and Faster Agent Self-evolution via One Line of Vibe Docvqa: A dataset for vqa on document images

Reference 23

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source=pdf_text observed=2026-07-12T02:24:07.555850Z digest=sha256:9ba0d580ef298d1e5eadbbd0a00901c6abe72b38e274dd4463211728ce3ad9f1

Observation 8b2b174c-6112-41f2-b4ec-d6b89bbe4e15 · outbound

This paper cites SearchQA: A New Q&A Dataset Augmented with Context from a Search Engine.

SkillOpt-Lite: Better and Faster Agent Self-evolution via One Line of Vibe SearchQA: A New Q&A Dataset Augmented with Context from a Search Engine

Reference 24

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source=pdf_text observed=2026-07-12T02:24:07.555850Z digest=sha256:d17b9ae556c7c78d75b31e1dc6883d6fdd6d91331a3aae1096715bce4a8ff901

Observation 7db7b4ba-b8b7-4fac-a284-15cc617d953d · outbound

This paper cites Officeqa pro: An enterprise benchmark for end-to-end grounded reasoning.arXiv preprint arXiv:2603.08655, 2026.

SkillOpt-Lite: Better and Faster Agent Self-evolution via One Line of Vibe Officeqa pro: An enterprise benchmark for end-to-end grounded reasoning.arXiv preprint arXiv:2603.08655, 2026

Reference 25

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source=pdf_text observed=2026-07-12T02:24:07.555850Z digest=sha256:0b3ec19af430168176798ff472912fb4a8685ea7e75825c759733c5f7e6370aa

Observation eeb623de-5b40-4ab5-a451-093061820f8d · outbound

This paper cites Code as Agent Harness.

SkillOpt-Lite: Better and Faster Agent Self-evolution via One Line of Vibe Code as Agent Harness

Reference 26

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source=pdf_text observed=2026-07-12T02:24:07.555850Z digest=sha256:a6a0a40f9fcca62fa1266cc89c2c5dbdad2848721535accdd76e523fe2146a29

Observation 5e0f676a-1c59-4c7c-9ec3-a6883164da5c · outbound

This paper cites Self-Harness: Harnesses That Improve Themselves.

SkillOpt-Lite: Better and Faster Agent Self-evolution via One Line of Vibe Self-Harness: Harnesses That Improve Themselves

Reference 27

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source=pdf_text observed=2026-07-12T02:24:07.555850Z digest=sha256:d3f6f32045494359fb3440fb16d162b89a84e2b70c2452d13d6b8dd5afdd1af3

Observation 4b47e1d9-abc7-4a57-b87c-2c16a63eb55f · outbound

This paper cites Harness updating is not harness benefit: Disentangling evolution capabilities in self-evolving llm agents.

SkillOpt-Lite: Better and Faster Agent Self-evolution via One Line of Vibe Harness updating is not harness benefit: Disentangling evolution capabilities in self-evolving llm agents

Reference 28

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source=pdf_text observed=2026-07-12T02:24:07.555850Z digest=sha256:cf4d9e7798d89603fae9f0e27eb3d8e16184e5bf961ef03661966cfc4b31f50b

Observation db81524e-9919-46fe-81ba-3d5a3236d612 · outbound

This paper cites Learning beyond gradients.

SkillOpt-Lite: Better and Faster Agent Self-evolution via One Line of Vibe Learning beyond gradients

Reference 29

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source=pdf_text observed=2026-07-12T02:24:07.555850Z digest=sha256:b23c976fa1b3f921f3370867601e9f2ab625edfbd31612f0adefab91c27c402b

Observation 1fc63c2c-7128-4903-beb1-6f086b693d84 · outbound

This paper cites LLaVA-OneVision-2: Towards Next-Generation Perceptual Intelligence.

SkillOpt-Lite: Better and Faster Agent Self-evolution via One Line of Vibe LLaVA-OneVision-2: Towards Next-Generation Perceptual Intelligence

Reference 30

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source=pdf_text observed=2026-07-12T02:24:07.555850Z digest=sha256:a7fae37c760eaa8e0a0da4d8d744e77d9d9d556498ce2bc8b2cc5636c3475585

Pith citing papers

Observation c71fdf27-f79d-4be9-8968-7bbdb62283a3 · inbound

Mage-VL: An Efficient Codec-Native Streaming Multimodal Foundation Model cites this paper.

Mage-VL: An Efficient Codec-Native Streaming Multimodal Foundation Model SkillOpt-Lite: Better and Faster Agent Self-evolution via One Line of Vibe

Reference 24

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source=pdf_text observed=2026-07-31T06:20:13.666819Z digest=sha256:4a26aed07ab5400806e5655ee698dbec89185b186bd42e3fe5423aa1ef59cfa4

Observation c8c34fc1-8d34-43a3-8f3a-66d1558cc8c7 · inbound

Rethinking Self-Evolution: A Constrained Exploration-Exploitation Process for Mitigating Skill Overfitting cites this paper.

Rethinking Self-Evolution: A Constrained Exploration-Exploitation Process for Mitigating Skill Overfitting SkillOpt-Lite: Better and Faster Agent Self-evolution via One Line of Vibe

Reference 22

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source=pdf_text observed=2026-08-01T11:46:01.918876Z digest=sha256:16ab10d859200358015e5dd5fcb07f61bcd03eab6737bbbe7b8982a363d85808

Observation 45c2a121-8273-49be-97ff-23e13fabe9ba · inbound

Training Skills Like Parameters via Self-Supervised Semantic Diffusion cites this paper.

Training Skills Like Parameters via Self-Supervised Semantic Diffusion SkillOpt-Lite: Better and Faster Agent Self-evolution via One Line of Vibe

Reference 26

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source=pdf_text observed=2026-08-01T05:47:43.612073Z digest=sha256:368dd3066c8a96e7dbd8343bc7b8180eb466c04f2b15cedbe58a73cc188ffc6f

Observation 29e49dbc-47b4-470b-a2cf-1667e7fa5ec5 · inbound

VeriSkill: A Self-Evolution Framework for Program Verification Skills cites this paper.

VeriSkill: A Self-Evolution Framework for Program Verification Skills SkillOpt-Lite: Better and Faster Agent Self-evolution via One Line of Vibe

Reference 9

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source=pdf_text observed=2026-08-01T02:26:36.033730Z digest=sha256:0d86b0812ad284faac714dddeb88e98c3364f283184e663f76dcc2d86efea9f6

Observation 1ab4ef07-982a-40c0-86e7-a8821620c382 · inbound

Rethinking Self-Evolving Agent Skills: Feedback Dynamics over Multiple Rounds cites this paper.

Rethinking Self-Evolving Agent Skills: Feedback Dynamics over Multiple Rounds SkillOpt-Lite: Better and Faster Agent Self-evolution via One Line of Vibe

Reference 23

Resolution
verified exact
local_arxiv, observed 2026-08-05T04:26:29.809426Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T04:26:29.330870Z digest=sha256:0739e5ac535471eb7de7baa1af448442fd9ebba64c4d783d9f8eb1ac7bf2582e