Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-14T22:23:14.621091Z
Paper Citation Record · LEDGER
A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence
As of 11 August 2026, this Paper Citation Record lists 100 of 297 outbound references and 100 inbound Pith citation observations for arXiv:2507.21046.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T20:17:08.416770Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T02:28:24.338817Z
Reference resolution
100 of 297 outbound references displayed
- verified exact17
- verified fuzzy39
- unresolved4
- parse uncertain0
- malformed identifier0
- metadata mismatch40
External citation measurements
1
pith, observed 2026-08-05T02:28:24.338817Z
Outbound references
Observation ddd04a00-fa02-4d57-b94e-678bdda88b31 · outbound
This paper cites 2025 , eprint=.
A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence 2025 , eprint=
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T22:29:33.946496Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation dc61b1c9-1b06-489b-970d-5643f6e0dd2d · outbound
This paper cites In: Proceedings of the 47th International ACM SI- GIR Conference on Research and Development in Information Retrieval.
A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence In: Proceedings of the 47th International ACM SI- GIR Conference on Research and Development in Information Retrieval
Reference 2
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-14T22:23:14.768824Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 38f3a0e8-393b-4ec6-8b7f-67d9bf8ffa5c · outbound
This paper cites 2025 , eprint=.
A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence 2025 , eprint=
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T22:29:33.950758Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 56a35afb-94eb-4fd7-b6eb-310111150ec9 · outbound
This paper cites Frontiers Comput.
A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence Frontiers Comput
Reference 4
- Resolution
- metadata mismatch
- doi, observed 2026-05-14T22:23:14.778232Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation ba84bbed-e059-4277-aeea-cb3e199eddaf · outbound
This paper cites 2025 , eprint=.
A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence 2025 , eprint=
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T22:23:15.943132Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 050c144a-d31b-4e6b-a246-9fd5098470d2 · outbound
This paper cites 2025 , eprint=.
A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence 2025 , eprint=
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T22:23:15.898304Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 443ff8df-0116-48ee-9f7d-fcf086d66aba · outbound
This paper cites AgentGen: Enhancing Planning Abilities for Large Language Model based Agent via Environment and Task Generation.
A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence AgentGen: Enhancing Planning Abilities for Large Language Model based Agent via Environment and Task Generation
Reference 8
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-14T22:23:15.456189Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 1d397e1b-5d6a-4635-8b91-3f7a10240f06 · outbound
This paper cites OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation.
A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T22:23:15.462600Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation dfa3a36c-a7b8-41d3-9cc1-717b9b944f50 · outbound
This paper cites Self-Evolving Multi-Agent Systems via Textual Backpropagation.
A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence Self-Evolving Multi-Agent Systems via Textual Backpropagation
Reference 11
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-19T17:10:31.231688Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation b2f6ce78-fdeb-4338-8647-a9abc441de01 · outbound
This paper cites Proceedings of COLING , year=.
A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence Proceedings of COLING , year=
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T22:23:15.913845Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 61b8501b-c226-4692-93b7-5a8b3d7b358a · outbound
This paper cites Voyager: An Open-Ended Embodied Agent with Large Language Models.
A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence Voyager: An Open-Ended Embodied Agent with Large Language Models
Reference 13
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-14T22:23:15.475217Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation a147a418-ee60-463b-a5e2-29cdbe30cc30 · outbound
This paper cites EvolveSearch: An Iterative Self-Evolving Search Agent.
A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence EvolveSearch: An Iterative Self-Evolving Search Agent
Reference 14
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-14T22:23:15.482672Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation d5f4170c-1008-4f8d-881f-50d4d395223b · outbound
This paper cites WebRL: Training LLM Web Agents via Self-Evolving Online Curriculum Reinforcement Learning.
A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence WebRL: Training LLM Web Agents via Self-Evolving Online Curriculum Reinforcement Learning
Reference 15
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-14T22:23:15.489007Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation a31baf8e-8ee3-419f-a2ea-3f0aba9b8c7a · outbound
This paper cites RAGEN: Understanding Self-Evolution in LLM Agents via Multi-Turn Reinforcement Learning.
A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence RAGEN: Understanding Self-Evolution in LLM Agents via Multi-Turn Reinforcement Learning
Reference 16
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-14T22:23:15.493799Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 0b7a39f6-0b88-4f26-8ffb-b8bde84a9a67 · outbound
This paper cites Tree of Thoughts: Deliberate Problem Solving with Large Language Models , volume =.
A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence Tree of Thoughts: Deliberate Problem Solving with Large Language Models , volume =
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T22:23:15.934856Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation e8d8f9f8-ec60-49f8-8c73-b1856fa18bb2 · outbound
This paper cites Self-Refine: Iterative Refinement with Self-Feedback , volume =.
A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence Self-Refine: Iterative Refinement with Self-Feedback , volume =
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T22:23:15.939052Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 60fd0006-d151-4f26-a620-5886d4ef6679 · outbound
This paper cites 2021 , isbn =.
A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence 2021 , isbn =
Reference 19
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-14T22:23:14.760004Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 99535cbf-82e2-4206-8c06-66d349646527 · outbound
This paper cites Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) , month =.
A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) , month =
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T22:23:15.947243Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 69b6bdd7-b901-4648-a0c0-b6293a1ecbd5 · outbound
This paper cites Lifelong Knowledge Editing for LLMs with Retrieval-Augmented Continuous Prompt Learning.
A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence Lifelong Knowledge Editing for LLMs with Retrieval-Augmented Continuous Prompt Learning
Reference 21
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T22:23:15.499653Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation e34b9255-4e0a-40a7-92b5-100bef4699d5 · outbound
This paper cites Advances in Neural Information Processing Systems , volume=.
A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence Advances in Neural Information Processing Systems , volume=
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T22:29:34.238173Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 921e0e69-98b1-45e1-a491-8a42fd88bd16 · outbound
This paper cites Symbolic Learning Enables Self-Evolving Agents.
A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence Symbolic Learning Enables Self-Evolving Agents
Reference 23
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-14T22:23:15.505257Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation f88c0baf-e2ad-41e4-9589-94db0daef062 · outbound
This paper cites Self-evolving Agents with reflective and memory-augmented abilities.
A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence Self-evolving Agents with reflective and memory-augmented abilities
Reference 24
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T22:23:15.511708Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation c558719c-e40e-4d05-ab81-2ca9feb5857e · outbound
This paper cites A-MEM: Agentic Memory for LLM Agents.
A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence A-MEM: Agentic Memory for LLM Agents
Reference 25
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-14T22:23:15.517150Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 4335e5b4-de68-4058-ae24-4ade3a86ccc2 · outbound
This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume=.
A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence Proceedings of the AAAI Conference on Artificial Intelligence , volume=
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T22:29:34.323720Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 0c9371b1-fef2-43c4-9b04-5dc12ef5280d · outbound
This paper cites Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory.
A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory
Reference 27
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-14T22:23:15.523115Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation f502d527-8b60-4ed4-bb22-2c2c9800c09f · outbound
This paper cites Advances in Neural Information Processing Systems , volume=.
A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence Advances in Neural Information Processing Systems , volume=
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T22:29:34.224548Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 564f4725-dfd2-4d4a-9c87-0db3ccfd5e6f · outbound
This paper cites Long Term Memory: The Foundation of AI Self-Evolution.
A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence Long Term Memory: The Foundation of AI Self-Evolution
Reference 29
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-14T22:23:15.529075Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 577575ab-2c01-4c8b-90ad-5a606132d8c9 · outbound
This paper cites How memory management impacts llm agents: An empirical study of experience-following behavior.
A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence How memory management impacts llm agents: An empirical study of experience-following behavior
Reference 30
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-14T22:23:15.535019Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 013a2032-d278-4cc5-b303-c5cd178a4390 · outbound
This paper cites arXiv e-prints , pages=.
A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence arXiv e-prints , pages=
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T22:29:34.275697Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 2cb9d7bc-ff44-4eaf-84ae-5fc3f2956441 · outbound
This paper cites MemInsight: Autonomous Memory Augmentation for LLM Agents.
A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence MemInsight: Autonomous Memory Augmentation for LLM Agents
Reference 32
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-14T22:23:15.541471Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 8400ccbe-1fcc-49be-b869-eb5c4140f682 · outbound
This paper cites LEGO-Prover: Neural Theorem Proving with Growing Libraries.
A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence LEGO-Prover: Neural Theorem Proving with Growing Libraries
Reference 33
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T22:23:15.547500Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation b6f469e7-94ba-4498-8e72-ef3b8a52b81e · outbound
This paper cites Cognitive Memory in Large Language Models.
A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence Cognitive Memory in Large Language Models
Reference 34
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-14T22:23:15.554039Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 8f165c0a-fb43-4276-8e44-eb33a6a7b181 · outbound
This paper cites Proceedings of the 36th annual acm symposium on user interface software and technology , pages=.
A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence Proceedings of the 36th annual acm symposium on user interface software and technology , pages=
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T22:29:34.279838Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 19dd7373-b657-4818-88b0-eba77865367a · outbound
This paper cites SCM: Enhancing Large Language Model with Self-Controlled Memory Framework.
A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence SCM: Enhancing Large Language Model with Self-Controlled Memory Framework
Reference 36
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-14T22:23:15.559769Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 18a24d62-3902-47c4-a0fa-98fb8e1cdbbf · outbound
This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume=.
A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence Proceedings of the AAAI Conference on Artificial Intelligence , volume=
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T22:29:34.216036Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 5f6166d7-045c-424f-8122-d4c5c4f29d97 · outbound
This paper cites G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems.
A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems
Reference 38
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-14T22:23:15.565964Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation b655f70e-159e-4765-bcf9-51592e73e3a0 · outbound
This paper cites arXiv preprint arXiv:2502.16923 , year=.
A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence arXiv preprint arXiv:2502.16923 , year=
Reference 39
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T22:23:15.572503Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 17af7e53-82ef-4714-a73d-0502b397e090 · outbound
This paper cites RePrompt: Planning by Automatic Prompt Engineering for Large Language Models Agents.
A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence RePrompt: Planning by Automatic Prompt Engineering for Large Language Models Agents
Reference 40
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T22:23:15.577864Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 9a4c0261-4fba-427e-af59-37cdc6048234 · outbound
This paper cites Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution.
A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution
Reference 41
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-16T08:12:31.711130Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation ef63bd1f-6ff2-4b63-91cb-2748164d8599 · outbound
This paper cites The Eleventh International Conference on Learning Representations , year=.
A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence The Eleventh International Conference on Learning Representations , year=
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T22:29:34.202093Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 2bdbb183-1cea-4b1c-b069-9490ddf2573b · outbound
This paper cites Automatic Prompt Optimization with "Gradient Descent" and Beam Search.
A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence Automatic Prompt Optimization with "Gradient Descent" and Beam Search
Reference 43
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T22:23:15.590683Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 09a3a7b8-1f4d-4a75-accc-f230abccaf34 · outbound
This paper cites Efficient and Accurate Prompt Optimization: the Benefit of Memory in Exemplar-Guided Reflection.
A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence Efficient and Accurate Prompt Optimization: the Benefit of Memory in Exemplar-Guided Reflection
Reference 44
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T22:23:15.597976Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation ddde568e-f450-4366-ba1a-23cf0ad591d1 · outbound
This paper cites DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines.
A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines
Reference 45
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-14T22:23:15.604637Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 812bb03f-a412-4071-8224-919b0e4a9230 · outbound
This paper cites TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models.
A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models
Reference 46
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-14T22:23:15.610943Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 55ead275-852d-4c39-8630-21d7ba2aefa8 · outbound
This paper cites PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt Optimization.
A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt Optimization
Reference 47
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T22:23:15.617001Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 5de5ee6c-d64b-4362-99ba-cbcc07239264 · outbound
This paper cites Large Language Models as Optimizers.
A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence Large Language Models as Optimizers
Reference 48
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-15T00:04:31.381509Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 27364e8c-2f42-41e9-a4bd-2f9155008bf7 · outbound
This paper cites Experiential Co-Learning of Software-Developing Agents.
A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence Experiential Co-Learning of Software-Developing Agents
Reference 49
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-14T22:23:15.628800Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 378ddfd8-d895-43ef-a9b2-004aab598aec · outbound
This paper cites REVOLVE: Optimizing AI Systems by Tracking Response Evolution in Textual Optimization.
A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence REVOLVE: Optimizing AI Systems by Tracking Response Evolution in Textual Optimization
Reference 50
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-14T22:23:15.634181Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 040f2d95-4d0b-4d36-9fb3-04cabedab6d4 · outbound
This paper cites PRompt Optimization in Multi-Step Tasks (PROMST): Integrating Human Feedback and Heuristic-based Sampling.
A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence PRompt Optimization in Multi-Step Tasks (PROMST): Integrating Human Feedback and Heuristic-based Sampling
Reference 51
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T22:23:15.640142Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 7703b74a-3803-400c-8b57-c1d9da658c6f · outbound
This paper cites arXiv preprint arXiv:2502.02533 , year=.
A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence arXiv preprint arXiv:2502.02533 , year=
Reference 52
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T22:23:15.646382Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 9f948628-3969-4be9-93ca-2fe88ed5d508 · outbound
This paper cites EvoAgent: Towards Automatic Multi-Agent Generation via Evolutionary Algorithms.
A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence EvoAgent: Towards Automatic Multi-Agent Generation via Evolutionary Algorithms
Reference 53
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-14T22:23:15.652354Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation a37bc011-a540-4386-9306-eb02c34841fa · outbound
This paper cites arXiv e-prints , pages=.
A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence arXiv e-prints , pages=
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T22:29:34.241787Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 1fbc4403-0c37-424a-a7d8-e5117d4a521a · outbound
This paper cites CoRR , volume =.
A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence CoRR , volume =
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T22:29:34.258183Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation cf658e57-ae75-49e7-89d7-5791a91ce430 · outbound
This paper cites Hujaifa Islam and Hasmot Ali and Kishor Datta Gupta and Roy George , title =.
A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence Hujaifa Islam and Hasmot Ali and Kishor Datta Gupta and Roy George , title =
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T22:29:34.206262Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 93f77741-7dae-437c-bc10-b4680b92b809 · outbound
This paper cites Fatemi and Xiaolong Jin and Zora Zhiruo Wang and Apurva Gandhi and Yueqi Song and Yu Gu and Jayanth Srinivasa and Gaowen Liu and Graham Neubig and Yu Su , title =.
A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence Fatemi and Xiaolong Jin and Zora Zhiruo Wang and Apurva Gandhi and Yueqi Song and Yu Gu and Jayanth Srinivasa and Gaowen Liu and Graham Neubig and Yu Su , title =
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T22:29:34.220552Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 5a9ea0de-2e30-4836-bec4-1c6f4bf44870 · outbound
This paper cites Empowering Large Language Model Agents through Action Learning , journal =.
A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence Empowering Large Language Model Agents through Action Learning , journal =
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T22:29:34.245855Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 3e5ad89f-7133-4e7d-b6fc-5830ab2a7075 · outbound
This paper cites From Exploration to Mastery: Enabling LLMs to Master Tools via Self-Driven Interactions , booktitle =.
A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence From Exploration to Mastery: Enabling LLMs to Master Tools via Self-Driven Interactions , booktitle =
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T22:29:34.314378Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 31ff819b-4ea9-4c44-8ce8-55a2099a76cd · outbound
This paper cites an unresolved cited work.
A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence Unresolved cited work
Reference 60
- Resolution
- unresolved
- raw_fallback, observed 2026-05-14T22:29:34.292090Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 5448eb60-262f-4dc1-a7d5-c4a351673a23 · outbound
This paper cites an unresolved cited work.
A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence Unresolved cited work
Reference 61
- Resolution
- unresolved
- raw_fallback, observed 2026-05-14T22:29:34.194944Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 183acb44-c12d-480f-abcc-832bd468f12c · outbound
This paper cites 2025 , eprint=.
A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence 2025 , eprint=
Reference 62
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T22:29:34.189662Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation b01accc0-4e49-4888-800c-cbb7f09ec5f9 · outbound
This paper cites 2024 , url=.
Reference 63
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T22:29:34.347393Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 72b065f0-e4fa-41b8-b0c7-9cc1e3a945ae · outbound
This paper cites 2023 , eprint=.
A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence 2023 , eprint=
Reference 64
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T22:29:34.161513Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation af2eed37-9707-4b57-b215-21e780207c54 · outbound
This paper cites 2023 , url=.
Reference 65
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T22:29:34.266223Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 945b84f0-03b2-4ca7-b626-3aa758fe08b7 · outbound
This paper cites Toolformer: Language Models Can Teach Themselves to Use Tools , booktitle =.
A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence Toolformer: Language Models Can Teach Themselves to Use Tools , booktitle =
Reference 66
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T22:29:34.153982Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation d09ac4f0-07b3-4bac-90d3-53fe1ff8f5bc · outbound
This paper cites Patil and Tianjun Zhang and Xin Wang and Joseph E.
A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence Patil and Tianjun Zhang and Xin Wang and Joseph E
Reference 67
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T22:29:34.149208Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 59902a9c-94c5-4698-8041-78eb6955dc0e · outbound
This paper cites CoRR , volume =.
A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence CoRR , volume =
Reference 68
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T22:29:34.157441Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation ceb1055b-5382-4aa9-9cde-7a331b165333 · outbound
This paper cites Towards Completeness-Oriented Tool Retrieval for Large Language Models , booktitle =.
A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence Towards Completeness-Oriented Tool Retrieval for Large Language Models , booktitle =
Reference 69
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T22:29:34.221560Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation aa527bf4-7c92-4c18-acaf-62bc8c2eaee4 · outbound
This paper cites an unresolved cited work.
A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence Unresolved cited work
Reference 70
- Resolution
- unresolved
- raw_fallback, observed 2026-05-14T22:29:34.185857Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 98771084-deee-4e7b-8f46-d9c20971a3b3 · outbound
This paper cites CoRR , volume =.
A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence CoRR , volume =
Reference 71
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T22:29:34.368337Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 2e73c722-63ce-4588-bb42-7637b7f90bf7 · outbound
This paper cites an unresolved cited work.
A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence Unresolved cited work
Reference 72
- Resolution
- unresolved
- raw_fallback, observed 2026-05-14T22:29:34.186584Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 2e26fafb-125c-42f3-9fa6-98a8e1106f7f · outbound
This paper cites MLE-bench: Evaluating Machine Learning Agents on Machine Learning Engineering.
A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence MLE-bench: Evaluating Machine Learning Agents on Machine Learning Engineering
Reference 73
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-14T22:23:15.658139Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 41d00269-018b-4580-a70c-f1251c57e29f · outbound
This paper cites ScienceAgentBench: Toward Rigorous Assessment of Language Agents for Data-Driven Scientific Discovery.
A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence ScienceAgentBench: Toward Rigorous Assessment of Language Agents for Data-Driven Scientific Discovery
Reference 74
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-14T22:23:15.664362Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 3f35406d-e002-4523-83b1-ffb6137c12fa · outbound
This paper cites BrowseComp: A Simple Yet Challenging Benchmark for Browsing Agents.
A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence BrowseComp: A Simple Yet Challenging Benchmark for Browsing Agents
Reference 75
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-14T22:23:15.670194Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 3d7b76e3-5e52-4133-a725-ec17379b4526 · outbound
This paper cites ST-WebAgentBench: A Benchmark for Evaluating Safety and Trustworthiness in Web Agents.
A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence ST-WebAgentBench: A Benchmark for Evaluating Safety and Trustworthiness in Web Agents
Reference 76
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-05T02:16:16.756993Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 3dd944c4-a22e-4e0a-b053-96929108e8f8 · outbound
This paper cites WebWalker: Benchmarking LLMs in Web Traversal.
A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence WebWalker: Benchmarking LLMs in Web Traversal
Reference 77
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-14T22:23:14.784570Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 4e8a98e4-45d4-4d42-8838-6de8ecaa8e05 · outbound
This paper cites The Twelfth International Conference on Learning Representations , year=.
A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence The Twelfth International Conference on Learning Representations , year=
Reference 78
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T22:29:34.216777Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 24c05b64-c382-4f49-980b-8983815660fa · outbound
This paper cites AgentBench: Evaluating LLMs as Agents.
A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence AgentBench: Evaluating LLMs as Agents
Reference 79
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-14T22:23:15.681932Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 2b4d174e-6fc8-4ec6-9d61-2fcaa551a3fc · outbound
This paper cites MDTeamGPT: A Self-Evolving LLM-based Multi-Agent Framework for Multi-Disciplinary Team Medical Consultation.
A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence MDTeamGPT: A Self-Evolving LLM-based Multi-Agent Framework for Multi-Disciplinary Team Medical Consultation
Reference 80
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-14T22:23:15.687968Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation c99c668f-8563-40b6-b67b-6700452afdfd · outbound
This paper cites MultiAgentBench: Evaluating the Collaboration and Competition of LLM agents.
A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence MultiAgentBench: Evaluating the Collaboration and Competition of LLM agents
Reference 81
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-14T22:23:15.694169Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 1a8984e7-f119-4814-a8ed-c08757a4c5f7 · outbound
This paper cites Self-Evolving Multi-Agent Collaboration Networks for Software Development.
A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence Self-Evolving Multi-Agent Collaboration Networks for Software Development
Reference 82
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T22:23:15.700309Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 8a96503b-88f9-49dd-9903-a78274711681 · outbound
This paper cites arXiv preprint arXiv:2502.20073 , year=.
A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence arXiv preprint arXiv:2502.20073 , year=
Reference 83
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T22:23:15.706020Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 7536d733-af69-4349-820f-e8395e9a33e0 · outbound
This paper cites Advances in Neural Information Processing Systems , volume=.
A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence Advances in Neural Information Processing Systems , volume=
Reference 84
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T22:29:34.132879Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 8c7608a5-8bc4-4eed-9364-7a2449fec7f8 · outbound
This paper cites Proceedings of the Fourteenth International Conference on Automated Planning and Scheduling (ICAPS 2025).
A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence Proceedings of the Fourteenth International Conference on Automated Planning and Scheduling (ICAPS 2025)
Reference 85
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T22:29:34.108974Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 4e126a35-b617-4082-925f-449620976d1b · outbound
This paper cites NATURAL PLAN: Benchmarking LLMs on Natural Language Planning.
A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence NATURAL PLAN: Benchmarking LLMs on Natural Language Planning
Reference 86
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-14T22:23:15.711668Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 5b676530-4e1f-4dc9-9794-78f996cc4bc3 · outbound
This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume=.
A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence Proceedings of the AAAI Conference on Artificial Intelligence , volume=
Reference 87
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T22:29:34.104424Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 9b8195df-89f1-4c77-84c7-5d4c30b88dde · outbound
This paper cites ToolAlpaca: Generalized Tool Learning for Language Models with 3000 Simulated Cases.
A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence ToolAlpaca: Generalized Tool Learning for Language Models with 3000 Simulated Cases
Reference 88
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-15T23:03:48.638764Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation b024d1be-0363-4ede-a90b-55761c2ef6ce · outbound
This paper cites ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs.
A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs
Reference 89
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-14T22:23:15.726987Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 384f4a7a-5d99-4c71-ad96-646df71eaa06 · outbound
This paper cites ToolSandbox: A Stateful, Conversational, Interactive Evaluation Benchmark for LLM Tool Use Capabilities.
A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence ToolSandbox: A Stateful, Conversational, Interactive Evaluation Benchmark for LLM Tool Use Capabilities
Reference 90
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T22:23:15.733725Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 29a34b5f-864e-42dd-b212-e88a4fef4cd2 · outbound
This paper cites API-Bank: A Comprehensive Benchmark for Tool-Augmented LLMs.
A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence API-Bank: A Comprehensive Benchmark for Tool-Augmented LLMs
Reference 91
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-15T20:51:41.275571Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 99190a17-8f5f-41ca-b606-b56b71dd88f0 · outbound
This paper cites CCF International Conference on Natural Language Processing and Chinese Computing , pages=.
A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence CCF International Conference on Natural Language Processing and Chinese Computing , pages=
Reference 92
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T22:29:34.178593Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 9c1b31bb-935b-4b46-8506-b73c01c8e05b · outbound
This paper cites T-Eval: Evaluating the Tool Utilization Capability of Large Language Models Step by Step.
A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence T-Eval: Evaluating the Tool Utilization Capability of Large Language Models Step by Step
Reference 93
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T22:23:15.745837Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 26b38779-1e7f-46ca-b697-1df3915c922c · outbound
This paper cites $\tau$-bench: A Benchmark for Tool-Agent-User Interaction in Real-World Domains.
A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence $\tau$-bench: A Benchmark for Tool-Agent-User Interaction in Real-World Domains
Reference 94
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-14T22:23:15.752553Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation a2bf674a-7849-4572-b29a-30619391e2af · outbound
This paper cites SWE-bench: Can Language Models Resolve Real-World GitHub Issues?.
A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence SWE-bench: Can Language Models Resolve Real-World GitHub Issues?
Reference 95
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-14T22:23:15.758489Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation c166ea2c-367b-4084-b9a1-d12d4d73e3ce · outbound
This paper cites xbench: Tracking Agents Productivity Scaling with Profession-Aligned Real-World Evaluations.
A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence xbench: Tracking Agents Productivity Scaling with Profession-Aligned Real-World Evaluations
Reference 96
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-14T22:23:15.764054Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation f28ed759-8378-4802-89c6-4dda3ee488f0 · outbound
This paper cites StoryBench: A Dynamic Benchmark for Evaluating Long-Term Memory with Multi Turns.
A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence StoryBench: A Dynamic Benchmark for Evaluating Long-Term Memory with Multi Turns
Reference 97
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T22:23:15.770267Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation a26ee8e8-ac89-40ec-9cd2-5a5c445633ad · outbound
This paper cites ICML 2025 Workshop on Long-Context Foundation Models , year=.
A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence ICML 2025 Workshop on Long-Context Foundation Models , year=
Reference 98
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T22:29:34.342875Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 8a6f2833-dcad-438c-9d92-b34c8b559372 · outbound
This paper cites The Thirty-eight Conference on Neural Information Processing Systems Datasets and Benchmarks Track , year=.
A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence The Thirty-eight Conference on Neural Information Processing Systems Datasets and Benchmarks Track , year=
Reference 99
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T22:29:34.090782Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 934d75bc-9274-4063-a085-9d541639eba9 · outbound
This paper cites LifelongAgentBench: Evaluating LLM Agents as Lifelong Learners.
A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence LifelongAgentBench: Evaluating LLM Agents as Lifelong Learners
Reference 100
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T22:23:15.776528Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 24b7d254-a59f-4ace-9b38-9b7e2177d64a · outbound
This paper cites 2021 , url =.
A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence 2021 , url =
Reference 101
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T22:29:34.199098Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 02418156-9543-48e3-8380-3be993585021 · outbound
This paper cites 2020 , url =.
A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence 2020 , url =
Reference 102
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T22:29:34.262083Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Pith citing papers
Observation ac084a07-791c-4efc-9c54-bb54ff541e1b · inbound
SSRL: Self-Search Reinforcement Learning cites this paper.
SSRL: Self-Search Reinforcement Learning A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T20:17:08.416770Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b69b77e7-d50c-45e0-9405-d34125d122b1 · inbound
Allen: Rethinking MAS Design through Step-Level Policy Autonomy cites this paper.
Allen: Rethinking MAS Design through Step-Level Policy Autonomy A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T20:03:29.886627Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f798e866-f5c7-4cae-af9a-12493817a74f · inbound
Reflection-Enhanced Meta-Optimization Integrating TextGrad-style Prompt Optimization with Memory-Driven Self-Evolution cites this paper.
Reflection-Enhanced Meta-Optimization Integrating TextGrad-style Prompt Optimization with Memory-Driven Self-Evolution A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T16:17:28.933470Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 86da3558-e55c-4da4-ab7f-56c54c5a872e · inbound
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey cites this paper.
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence
Reference 151
- Resolution
- verified exact
- local_arxiv, observed 2026-05-18T19:21:48.713494Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 06f3c4ef-548d-4a30-a7d6-519e14ce0373 · inbound
A global log for medical AI cites this paper.
A global log for medical AI A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence
Reference 65
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T11:34:08.755648Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 23f67856-86c5-42ce-8ec8-f60f3b29b59b · inbound
EvolveR: Self-Evolving LLM Agents through an Experience-Driven Lifecycle cites this paper.
EvolveR: Self-Evolving LLM Agents through an Experience-Driven Lifecycle A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence
Reference 3
- Resolution
- verified exact
- local_arxiv, observed 2026-05-18T06:20:58.398817Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 85fae104-9730-419a-8b28-d081df453b99 · inbound
EvolveR: Self-Evolving LLM Agents through an Experience-Driven Lifecycle cites this paper.
EvolveR: Self-Evolving LLM Agents through an Experience-Driven Lifecycle A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence
Reference 3
- Resolution
- verified exact
- local_arxiv, observed 2026-05-21T20:50:36.451204Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 2c43156e-d62f-4736-96d7-6db5d3c5a5a0 · inbound
Agentic AI Security: Threats, Defenses, Evaluation, and Open Challenges cites this paper.
Agentic AI Security: Threats, Defenses, Evaluation, and Open Challenges A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence
Reference 52
- Resolution
- verified exact
- local_arxiv, observed 2026-05-18T03:42:22.524349Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 3e53e887-1003-4b66-8e44-f302aef58099 · inbound
Evo-Memory: Benchmarking LLM Agent Test-time Learning with Self-Evolving Memory cites this paper.
Evo-Memory: Benchmarking LLM Agent Test-time Learning with Self-Evolving Memory A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence
Reference 17
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-14T23:13:15.409220Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 8ea6f81b-879f-46a4-ad40-b8b9909cf3fb · inbound
Agentic Learner with Grow-and-Refine Multimodal Semantic Memory cites this paper.
Agentic Learner with Grow-and-Refine Multimodal Semantic Memory A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence
Reference 14
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T04:29:01.599311Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 98a23b74-9607-4ba0-a537-01b9fe0eed3d · inbound
AutoTool: Dynamic Tool Selection and Integration for Agentic Reasoning cites this paper.
AutoTool: Dynamic Tool Selection and Integration for Agentic Reasoning A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T16:30:37.724497Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 11ce5c06-1edb-43c9-bd2c-3a02c38fd0ea · inbound
Differentiable Evolutionary Reinforcement Learning cites this paper.
Differentiable Evolutionary Reinforcement Learning A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence
Reference 9
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T22:38:37.734181Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 8183efdb-d861-421b-af41-32ab346a75d4 · inbound
Evaluating Large Language Models in Scientific Discovery cites this paper.
Evaluating Large Language Models in Scientific Discovery A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence
Reference 27
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T21:48:34.094503Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 6d44f76b-1c64-484b-a754-c9b71fde98d3 · inbound
Agentic Reasoning for Large Language Models cites this paper.
Agentic Reasoning for Large Language Models A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence
Reference 59
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T15:14:25.842301Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation a4cf7b28-5cfd-4164-96d7-9945d6f88ec0 · inbound
Improve Large Language Model Systems with User Logs cites this paper.
Improve Large Language Model Systems with User Logs A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence
Reference 3
- Resolution
- verified exact
- local_arxiv, observed 2026-05-21T14:34:12.896875Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 54a927b5-821c-4d0f-a079-5da3986ebaf5 · inbound
Improve Large Language Model Systems with User Logs cites this paper.
Improve Large Language Model Systems with User Logs A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T04:00:16.954084Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f03468a0-729f-4b79-a081-ad00ff07c168 · inbound
Rethinking the Value of Agent-Generated Tests for LLM-Based Software Engineering Agents cites this paper.
Rethinking the Value of Agent-Generated Tests for LLM-Based Software Engineering Agents A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence
Reference 14
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T06:37:28.467447Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation b84c576d-ffee-4dd4-9c8c-804ae2a1eb11 · inbound
Evaluation as Evolution: Transforming Adversarial Diffusion into Closed-Loop Curricula for Autonomous Vehicles cites this paper.
Evaluation as Evolution: Transforming Adversarial Diffusion into Closed-Loop Curricula for Autonomous Vehicles A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence
Reference 29
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T22:23:15.948876Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation f16c051f-497e-4a10-9555-188c779aca16 · inbound
E3-TIR: Enhanced Experience Exploitation for Tool-Integrated Reasoning cites this paper.
E3-TIR: Enhanced Experience Exploitation for Tool-Integrated Reasoning A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T22:23:15.948876Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 11785c07-774a-4dad-90e5-feb306613c84 · inbound
Help Without Being Asked: A Deployed Proactive Agent System for On-Call Support with Continuous Self-Improvement cites this paper.
Help Without Being Asked: A Deployed Proactive Agent System for On-Call Support with Continuous Self-Improvement A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence
Reference 13
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T19:56:33.428717Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 46ea55db-621f-4c1a-9711-157d36397209 · inbound
M$^\star$: Every Task Deserves Its Own Memory Harness cites this paper.
M$^\star$: Every Task Deserves Its Own Memory Harness A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T22:23:15.948876Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 77bfe344-7e0b-482c-81b0-1e394371cdaf · inbound
M$^\star$: Every Task Deserves Its Own Memory Harness cites this paper.
M$^\star$: Every Task Deserves Its Own Memory Harness A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T23:39:48.095337Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d1cb4cb7-95dc-4737-b2a4-02700bec2927 · inbound
Frontier-Eng: Benchmarking Self-Evolving Agents on Real-World Engineering Tasks with Generative Optimization cites this paper.
Frontier-Eng: Benchmarking Self-Evolving Agents on Real-World Engineering Tasks with Generative Optimization A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence
Reference 4
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T22:23:15.948876Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 02f9449d-8780-4570-8cef-4ebdeda48b3a · inbound
Autogenesis: A Self-Evolving Agent Protocol cites this paper.
Autogenesis: A Self-Evolving Agent Protocol A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence
Reference 4
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T22:23:15.948876Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 96faf668-b02f-43a8-95b9-c7620dd88bc2 · inbound
Autogenesis: A Self-Evolving Agent Protocol cites this paper.
Autogenesis: A Self-Evolving Agent Protocol A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence
Reference 4
- Resolution
- verified exact
- local_arxiv, observed 2026-05-21T00:19:16.825182Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation e9d04db2-b982-44a1-b4fa-29a505813dba · inbound
Steerable Instruction Following Coding Data Synthesis with Actor-Parametric Schema Co-Evolution cites this paper.
Steerable Instruction Following Coding Data Synthesis with Actor-Parametric Schema Co-Evolution A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence
Reference 8
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T18:01:25.493855Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation f1a73f88-48e1-40b8-853f-cd1e445be621 · inbound
Training LLM Agents for Spontaneous, Reward-Free Self-Evolution via World Knowledge Exploration cites this paper.
Training LLM Agents for Spontaneous, Reward-Free Self-Evolution via World Knowledge Exploration A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T22:23:15.948876Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation f0b1ddfb-20ce-4bfd-bc1f-25fa943091ab · inbound
Evaluation-driven Scaling for Scientific Discovery cites this paper.
Evaluation-driven Scaling for Scientific Discovery A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence
Reference 35
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T22:23:15.948876Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation a6ab76c1-f213-44a0-9f55-06ef98899a2b · inbound
From Skills to Talent: Organising Heterogeneous Agents as a Real-World Company cites this paper.
From Skills to Talent: Organising Heterogeneous Agents as a Real-World Company A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence
Reference 48
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T22:23:15.948876Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation c201efd9-e2e3-424a-bc74-66d92d57780b · inbound
OxyGent: Making Multi-Agent Systems Modular, Observable, and Evolvable via Oxy Abstraction cites this paper.
OxyGent: Making Multi-Agent Systems Modular, Observable, and Evolvable via Oxy Abstraction A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence
Reference 2
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-14T22:23:15.948876Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 03cfa88f-3380-4801-86b7-5e7117bd6b48 · inbound
Web2BigTable: A Bi-Level Multi-Agent LLM System for Internet-Scale Information Search and Extraction cites this paper.
Web2BigTable: A Bi-Level Multi-Agent LLM System for Internet-Scale Information Search and Extraction A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T22:23:15.948876Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation f24638f1-73cb-4de0-a3ad-e579d5ed524d · inbound
Rethinking Agentic Reinforcement Learning In Large Language Models cites this paper.
Rethinking Agentic Reinforcement Learning In Large Language Models A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence
Reference 22
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T22:23:15.948876Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 3d657267-838f-47d3-8d1b-92c1928bc96e · inbound
Rethinking Agentic Reinforcement Learning In Large Language Models cites this paper.
Rethinking Agentic Reinforcement Learning In Large Language Models A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence
Reference 22
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T22:23:15.948876Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 816b84ae-abef-4021-aafd-b83103ac3405 · inbound
Rethinking Agentic Reinforcement Learning In Large Language Models cites this paper.
Rethinking Agentic Reinforcement Learning In Large Language Models A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence
Reference 22
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T17:02:40.679042Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation a2037cc6-0740-43ab-a44e-0c4bded27524 · inbound
Safety in Embodied AI: A Survey of Risks, Attacks, and Defenses cites this paper.
Safety in Embodied AI: A Survey of Risks, Attacks, and Defenses A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-07-13T17:08:58.831798Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2f0e22a2-a23d-483a-8b50-63b816784ea7 · inbound
Learning Agent Routing From Early Experience cites this paper.
Learning Agent Routing From Early Experience A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence
Reference 13
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-14T22:23:15.948876Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 93395eae-9aca-48e1-842d-93b772392460 · inbound
FlashEvolve: Accelerating Agent Self-Evolution with Asynchronous Stage Orchestration cites this paper.
FlashEvolve: Accelerating Agent Self-Evolution with Asynchronous Stage Orchestration A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T22:23:15.948876Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation b82b2ca8-1ed2-4cd1-a38b-02a1dbdc82ff · inbound
Do Self-Evolving Agents Forget? Capability Degradation and Preservation in Lifelong LLM Agent Adaptation cites this paper.
Do Self-Evolving Agents Forget? Capability Degradation and Preservation in Lifelong LLM Agent Adaptation A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T22:23:15.948876Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 5411363f-67c1-49c5-b5ab-5fe9b32775dd · inbound
SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning cites this paper.
SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence
Reference 28
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T22:23:15.948876Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 4763fa19-2a0a-499a-bb5a-d8c247f8d0a4 · inbound
SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning cites this paper.
SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence
Reference 28
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T22:23:15.948876Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 84583d62-38e3-4a6c-af37-f620ab82a4fb · inbound
Evolving-RL: End-to-End Optimization of Experience-Driven Self-Evolving Capability within Agents cites this paper.
Evolving-RL: End-to-End Optimization of Experience-Driven Self-Evolving Capability within Agents A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T22:23:15.948876Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 93c9363b-54bb-47f2-b4ed-be16ce58acb6 · inbound
OLIVIA: Online Learning via Inference-time Action Adaptation for Decision Making in LLM ReAct Agents cites this paper.
OLIVIA: Online Learning via Inference-time Action Adaptation for Decision Making in LLM ReAct Agents A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence
Reference 36
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-14T22:23:15.948876Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 7a835ab7-56cd-460f-8415-edc047216d2c · inbound
Reinforced Collaboration in Multi-Agent Flow Networks cites this paper.
Reinforced Collaboration in Multi-Agent Flow Networks A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T22:23:15.948876Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation c4d9a3f3-7b4e-4631-8060-1d5f0877ce38 · inbound
RoboEvolve: Co-Evolving Planner-Simulator for Robotic Manipulation with Limited Data cites this paper.
RoboEvolve: Co-Evolving Planner-Simulator for Robotic Manipulation with Limited Data A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence
Reference 45
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-14T22:23:15.948876Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 2c9d4927-637e-44fd-8aa2-b4780b6210cd · inbound
Harnessing Agentic Evolution cites this paper.
Harnessing Agentic Evolution A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T22:23:15.948876Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 6d94629c-4abb-4a31-86fe-06242314f487 · inbound
EvolveMem:Self-Evolving Memory Architecture via AutoResearch for LLM Agents cites this paper.
EvolveMem:Self-Evolving Memory Architecture via AutoResearch for LLM Agents A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence
Reference 5
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T04:49:44.093342Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation bbebe26c-c8b7-4c9b-9234-1a5e0ea83277 · inbound
ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents cites this paper.
ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence
Reference 47
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-15T05:09:45.110395Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 2eaeec4f-a6e7-4d62-addc-9ef1969c9cce · inbound
ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents cites this paper.
ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence
Reference 47
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-20T20:23:43.213760Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 45f464dc-8c4d-4b30-871a-c97983e42bab · inbound
Beyond Individual Intelligence: Surveying Collaboration, Failure Attribution, and Self-Evolution in LLM-based Multi-Agent Systems cites this paper.
Beyond Individual Intelligence: Surveying Collaboration, Failure Attribution, and Self-Evolution in LLM-based Multi-Agent Systems A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence
Reference 30
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T03:08:58.135766Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 85b27b1b-8c22-42ea-b240-1a2bdaed2bf2 · inbound
Beyond Individual Intelligence: Surveying Collaboration, Failure Attribution, and Self-Evolution in LLM-based Multi-Agent Systems cites this paper.
Beyond Individual Intelligence: Surveying Collaboration, Failure Attribution, and Self-Evolution in LLM-based Multi-Agent Systems A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence
Reference 31
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T16:52:39.957986Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 9e89ce8f-691c-4486-976b-ec9fb0081257 · inbound
Is One Score Enough? Rethinking the Evaluation of Sequentially Evolving LLM Memory cites this paper.
Is One Score Enough? Rethinking the Evaluation of Sequentially Evolving LLM Memory A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence
Reference 11
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T16:47:40.529160Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation d717f805-c881-4bdf-812b-29608f94e23c · inbound
The Scaling Laws of Skills in LLM Agent Systems cites this paper.
The Scaling Laws of Skills in LLM Agent Systems A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence
Reference 13
- Resolution
- verified exact
- local_arxiv, observed 2026-05-20T18:13:37.660326Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 3a2757b0-07b4-4f25-8437-8a44ac37d0bb · inbound
Scalable Environments Drive Generalizable Agents cites this paper.
Scalable Environments Drive Generalizable Agents A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence
Reference 10
- Resolution
- verified exact
- local_arxiv, observed 2026-05-20T10:23:12.200506Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation a6132113-c58c-4075-b845-6c276f85ef8d · inbound
OEP: Poisoning Self-Evolving LLM Agents via Locally Correct but Non-Transferable Experiences cites this paper.
OEP: Poisoning Self-Evolving LLM Agents via Locally Correct but Non-Transferable Experiences A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence
Reference 11
- Resolution
- verified exact
- local_arxiv, observed 2026-05-20T09:43:10.958167Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation d4e2afc4-a1a4-4eed-b6a4-120de8e96533 · inbound
SOLAR: A Self-Optimizing Open-Ended Autonomous Agent for Lifelong Learning and Continual Adaptation cites this paper.
SOLAR: A Self-Optimizing Open-Ended Autonomous Agent for Lifelong Learning and Continual Adaptation A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence
Reference 27
- Resolution
- verified exact
- local_arxiv, observed 2026-05-21T11:24:08.658492Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 5ba68df7-3342-49ff-a4ca-f307df32f403 · inbound
Dynamic Mixture of Latent Memories for Self-Evolving Agents cites this paper.
Dynamic Mixture of Latent Memories for Self-Evolving Agents A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence
Reference 1
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T07:41:14.549961Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 59440ccd-e3c1-421b-ba2a-8af0e7e29d4e · inbound
Behind EvoMap: Characterizing a Self-Evolving Agent-to-Agent Collaboration Network cites this paper.
Behind EvoMap: Characterizing a Self-Evolving Agent-to-Agent Collaboration Network A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence
Reference 15
- Resolution
- verified exact
- local_arxiv, observed 2026-06-29T22:04:00.841646Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation e4fc655b-e7a3-4fc7-9950-83196883f2c8 · inbound
Anticipate and Learn: Unleashing Idle-Time Compute in Proactive Agents cites this paper.
Anticipate and Learn: Unleashing Idle-Time Compute in Proactive Agents A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence
Reference 6
- Resolution
- verified exact
- local_arxiv, observed 2026-06-29T22:04:00.592132Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 52346f64-c669-4fc2-89ba-c0b0b3b50669 · inbound
Your Agents Are Aging Too: Agent Lifespan Engineering for Deployed Systems cites this paper.
Your Agents Are Aging Too: Agent Lifespan Engineering for Deployed Systems A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence
Reference 13
- Resolution
- verified exact
- local_arxiv, observed 2026-06-29T21:13:59.505378Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 2d2f9e19-9726-4466-8b05-6830831be2a9 · inbound
Rethinking Memory as Continuously Evolving Connectivity cites this paper.
Rethinking Memory as Continuously Evolving Connectivity A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence
Reference 4
- Resolution
- verified exact
- local_arxiv, observed 2026-06-29T12:33:24.745933Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 9ca58af4-58c4-4f2d-abbf-0132a7bc981e · inbound
Harmonizing Real-Time Constraints and Long-Horizon Reasoning: An Asynchronous Agentic Framework for Dynamic Scheduling cites this paper.
Harmonizing Real-Time Constraints and Long-Horizon Reasoning: An Asynchronous Agentic Framework for Dynamic Scheduling A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence
Reference 10
- Resolution
- verified exact
- local_arxiv, observed 2026-06-29T07:43:13.857759Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation e92ad148-9e02-45ba-87f0-756ba0cf097c · inbound
Traj-Evolve: A Self-Evolving Multi-Agent System for Patient Trajectory Modeling in Lung Cancer Early Detection cites this paper.
Traj-Evolve: A Self-Evolving Multi-Agent System for Patient Trajectory Modeling in Lung Cancer Early Detection A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence
Reference 39
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-01T23:26:22.837509Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 495a6ece-2cc5-41ef-88cf-d1712fceea63 · 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 A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence
Reference 4
- Resolution
- verified exact
- local_arxiv, observed 2026-07-02T02:46:29.314063Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 5e02ae5a-0e3e-4080-9da6-e86395b82829 · inbound
EvoDS: Self-Evolving Autonomous Data Science Agent with Skill Learning and Context Management cites this paper.
EvoDS: Self-Evolving Autonomous Data Science Agent with Skill Learning and Context Management A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence
Reference 18
- Resolution
- verified exact
- local_arxiv, observed 2026-07-02T03:56:35.118392Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 97d3fa4e-48f8-4a2a-899a-7421e11ecdd7 · inbound
Agent libOS: A Runtime Substrate for Capability-Controlled Self-Evolving LLM Agents cites this paper.
Agent libOS: A Runtime Substrate for Capability-Controlled Self-Evolving LLM Agents A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence
Reference 2
- Resolution
- verified exact
- local_arxiv, observed 2026-06-30T11:54:38.682756Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 95ef9112-ca99-4710-a2b9-28b38786814c · inbound
Rethinking Continual Experience Internalization for Self-Evolving LLM Agents cites this paper.
Rethinking Continual Experience Internalization for Self-Evolving LLM Agents A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence
Reference 75
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-02T07:56:47.714513Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 532b2b13-425e-4a04-bd1d-ed73c96db043 · inbound
AIP: A Graph Representation for Learning and Governing Agent Skills cites this paper.
AIP: A Graph Representation for Learning and Governing Agent Skills A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence
Reference 2
- Resolution
- verified exact
- local_arxiv, observed 2026-07-02T08:36:47.807808Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 1adc9c63-776c-4adf-b38e-71cab9371c83 · inbound
Learning While Acting: A Skill-Enhanced Test-Time Co-Evolution Framework for Online Lifelong Learning Agents cites this paper.
Learning While Acting: A Skill-Enhanced Test-Time Co-Evolution Framework for Online Lifelong Learning Agents A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence
Reference 4
- Resolution
- verified exact
- local_arxiv, observed 2026-07-02T07:06:44.870646Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 7e081e65-ebf7-4a6b-9774-182fcfe8496a · inbound
Scaling Expert Feedback with Reflective Edit Propagation in Compositional Knowledge Bases cites this paper.
Scaling Expert Feedback with Reflective Edit Propagation in Compositional Knowledge Bases A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence
Reference 6
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-06-28T04:11:38.703111Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation f927dce8-82c1-46ab-b36f-09d178ae8089 · inbound
AdMem: Advanced Memory for Task-solving Agents cites this paper.
AdMem: Advanced Memory for Task-solving Agents A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence
Reference 169
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-02T16:37:09.706498Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation cb747284-0139-490a-886f-c8d1b32ee054 · inbound
Online Pandora's Box for Contextual LLM Cascading cites this paper.
Online Pandora's Box for Contextual LLM Cascading A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence
Reference 22
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-02T17:37:14.300381Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation c6e7d971-bf8e-4901-880c-f462f8fad1ab · inbound
SKILL.nb: Selective Formalization and Gated Execution for Durable Agent Workflows cites this paper.
SKILL.nb: Selective Formalization and Gated Execution for Durable Agent Workflows A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence
Reference 8
- Resolution
- verified exact
- local_arxiv, observed 2026-07-02T21:27:24.619935Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation c7703616-4915-4eba-8789-b46b08a7edaf · inbound
PACE: Anytime-Valid Acceptance Tests for Self-Evolving Agents cites this paper.
PACE: Anytime-Valid Acceptance Tests for Self-Evolving Agents A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence
Reference 5
- Resolution
- verified exact
- local_arxiv, observed 2026-07-02T21:07:24.043321Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 78547eae-f982-41c4-842b-f1ef79a21cd1 · inbound
Experience Makes Skillful: Enabling Generalizable Medical Agent Reasoning via Self-Evolving Skill Memory cites this paper.
Experience Makes Skillful: Enabling Generalizable Medical Agent Reasoning via Self-Evolving Skill Memory A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence
Reference 12
- Resolution
- verified exact
- local_arxiv, observed 2026-07-03T01:07:30.896080Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 8a3ebb7c-b505-4695-83a7-b9f10686b9f7 · inbound
Agent Skill Evaluation and Evolution: Frameworks and Benchmarks cites this paper.
Agent Skill Evaluation and Evolution: Frameworks and Benchmarks A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence
Reference 2
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-03T05:37:40.310642Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation ecfdb9d4-d8cb-4000-9212-78eaf4ef9e3a · inbound
Embodied-BenchClaw: An Autonomous Multi-Agent System for Embodied Spatial Intelligence Benchmark Construction cites this paper.
Embodied-BenchClaw: An Autonomous Multi-Agent System for Embodied Spatial Intelligence Benchmark Construction A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence
Reference 4
- Resolution
- verified exact
- local_arxiv, observed 2026-07-03T10:48:02.905558Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 3576096d-7899-4761-81db-a019a3813e96 · inbound
AlphaMemo: Structured Search-Process Memory for Self-Evolving Alpha Mining Agents cites this paper.
AlphaMemo: Structured Search-Process Memory for Self-Evolving Alpha Mining Agents A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence
Reference 5
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-06-29T17:03:41.302261Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 90019d4b-095e-4d19-8208-bf52168daf47 · inbound
Safety in Self-Evolving LLM Agent Systems: Threats, Amplification, and Case Studies cites this paper.
Safety in Self-Evolving LLM Agent Systems: Threats, Amplification, and Case Studies A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence
Reference 18
- Resolution
- verified exact
- local_arxiv, observed 2026-07-04T10:59:47.044136Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 36da5637-b538-4e17-9fc4-101eb9c55412 · inbound
Managing Procedural Memory in LLM Agents: Control, Adaptation, and Evaluation cites this paper.
Managing Procedural Memory in LLM Agents: Control, Adaptation, and Evaluation A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence
Reference 25
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-06-26T08:49:15.261093Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation e7cfb73c-efc7-4098-9ec4-92ddcdcb39c9 · inbound
Critique of Agent Model cites this paper.
Critique of Agent Model A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence
Reference 32
- Resolution
- verified exact
- local_arxiv, observed 2026-07-04T11:29:51.056916Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 11deaec9-3b0b-4357-9b39-4b7e52292cbf · inbound
Metis: Bridging Text and Code Memory for Self-Evolving Agents cites this paper.
Metis: Bridging Text and Code Memory for Self-Evolving Agents A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence
Reference 1
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-04T16:29:56.664353Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 4efa49ce-0a74-4d75-aff5-4b2a82957339 · inbound
ASAP: Agent-System Co-Design for Wall-Clock-Centered Auto HPO Research for ML Experiments cites this paper.
ASAP: Agent-System Co-Design for Wall-Clock-Centered Auto HPO Research for ML Experiments A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence
Reference 2
- Resolution
- verified exact
- local_arxiv, observed 2026-07-04T17:40:00.825946Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 7ed457b9-bfd4-4614-9a85-cad4fe5d34f1 · inbound
Teach-to-Reason: Competition-Guided Reasoning with a Self-Improving Teacher cites this paper.
Teach-to-Reason: Competition-Guided Reasoning with a Self-Improving Teacher A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence
Reference 45
- Resolution
- verified exact
- local_arxiv, observed 2026-07-04T19:50:10.684459Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 68da349e-1a9a-465f-9184-e5a55bd33fcf · inbound
Joint Learning of Experiential Rules and Policies for Large Language Model Agents cites this paper.
Joint Learning of Experiential Rules and Policies for Large Language Model Agents A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence
Reference 6
- Resolution
- verified exact
- local_arxiv, observed 2026-07-04T14:09:52.574163Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation a7d6a3d1-cda7-4de4-80a8-d06f09eaafce · inbound
Learning from Failure: Inference-Time Self-Improvement for Computer-Use Agents cites this paper.
Learning from Failure: Inference-Time Self-Improvement for Computer-Use Agents A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence
Reference 11
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-01T06:25:27.059819Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 89203fb3-ef7b-4ae1-ad80-4bdf14da7008 · inbound
Stop Hand-Holding Your Coding Agent: Engineering the Loops that Replace Step-by-Step Prompting cites this paper.
Stop Hand-Holding Your Coding Agent: Engineering the Loops that Replace Step-by-Step Prompting A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence
Reference 11
- Resolution
- verified exact
- local_arxiv, observed 2026-07-02T20:47:22.260287Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation b225df0f-ec97-4d7e-805c-0c5a69cb49f4 · inbound
COMFYCLAW: Self-Evolving Skill Harnesses for Image Generation Workflows cites this paper.
COMFYCLAW: Self-Evolving Skill Harnesses for Image Generation Workflows A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence
Reference 29
- Resolution
- verified exact
- local_arxiv, observed 2026-07-03T14:28:31.272875Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation b52a696b-044b-4db8-a748-3822bc791280 · inbound
PraMem: Practice-derived Experiential Memory for Long-horizon Behavior Prediction cites this paper.
PraMem: Practice-derived Experiential Memory for Long-horizon Behavior Prediction A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T06:25:23.863962Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0860a416-edf3-4477-b103-43b82fbea83e · inbound
From Atomic Actions to Standard Operating Procedures: Iterative Tool Optimization for Self-Evolving LLM Agents cites this paper.
From Atomic Actions to Standard Operating Procedures: Iterative Tool Optimization for Self-Evolving LLM Agents A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence
Reference 26
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T14:26:20.362670Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 89eb6dc9-fee8-4881-b662-cb628896f426 · inbound
Evolutionary Intelligence for Scientific Discovery: From Evolutionary Computation to Cumulative Discovery Systems cites this paper.
Evolutionary Intelligence for Scientific Discovery: From Evolutionary Computation to Cumulative Discovery Systems A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-07-13T00:55:17.107245Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8f0be1a7-bc41-4978-a8e5-9e54c79b233a · inbound
ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory cites this paper.
ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T12:26:27.446079Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8dcbdbf5-2cdf-459b-ba81-ceac92cf1d45 · inbound
ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory cites this paper.
ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T07:21:26.373970Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 115e4fee-6109-41aa-bb7e-778d1f177fd9 · inbound
LOGOS: A Living Logic for AI Agent Teams That Evolve With Humans cites this paper.
LOGOS: A Living Logic for AI Agent Teams That Evolve With Humans A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T08:37:17.973015Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 423c3ff1-c112-4fd5-8681-6599e471170a · inbound
The Path to Self-Evolving Clinical Systems: Scaling Medical Agents from Assistance to Autonomy cites this paper.
The Path to Self-Evolving Clinical Systems: Scaling Medical Agents from Assistance to Autonomy A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence
Reference 69
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T06:30:16.612345Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 212b5bfe-2593-4bbd-a9fe-19e2d4113e2b · inbound
Towards Self-Evolving Agents: A Human-Inspired Adaptive Exploration-Exploitation Framework for Genetic Network Programming cites this paper.
Towards Self-Evolving Agents: A Human-Inspired Adaptive Exploration-Exploitation Framework for Genetic Network Programming A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-07-15T10:12:25.518134Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4c9594ee-52d7-4172-8c2f-936b1bf1c167 · inbound
Who Grades the Grader? Co-Evolving Evaluation Metrics and Skills for Self-Improving LLM Agents cites this paper.
Who Grades the Grader? Co-Evolving Evaluation Metrics and Skills for Self-Improving LLM Agents A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T06:27:29.956455Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 367dc5a0-6788-4993-907f-332adb7a9153 · inbound
Reward-Free Evolving Agents via Pairwise Validator cites this paper.
Reward-Free Evolving Agents via Pairwise Validator A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T02:15:33.258187Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6bd879c7-f835-4452-9f2f-f9aabe48f214 · inbound
AgentBrew: Lifelong Knowledge Brewing from Strong Teachers to Weak LLM Agents cites this paper.
AgentBrew: Lifelong Knowledge Brewing from Strong Teachers to Weak LLM Agents A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T19:47:39.815647Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 289d1cb8-d4ee-487c-9bc1-f98bd5b5ba1f · inbound
Self-Modifying Lean Proof Agents with Verifier-Grounded Benchmark Coevolution cites this paper.
Self-Modifying Lean Proof Agents with Verifier-Grounded Benchmark Coevolution A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T18:17:11.264171Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 66c61ae1-f1ba-438c-857a-207e5766f9db · inbound
Why Does Feedback-Augmented Self-Distillation Fail to Improve Retrieval-Interleaved Search Agents? cites this paper.
Why Does Feedback-Augmented Self-Distillation Fail to Improve Retrieval-Interleaved Search Agents? A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T17:42:17.819138Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.