Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-09T03:36:57.168246Z
Paper Citation Record · LEDGER
Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops
As of 15 August 2026, this Paper Citation Record lists 100 of 205 outbound references and 3 inbound Pith citation observations for arXiv:2607.07663.
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 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T10:20:58.764730Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-08T19:13:05.876662Z
Reference resolution
100 of 205 outbound references displayed
- verified exact81
- verified fuzzy13
- unresolved0
- parse uncertain0
- malformed identifier1
- metadata mismatch5
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 924a1b74-03e4-497d-a8e6-02987c586574 · outbound
This paper cites Advances in Computers , year = 1966, volume =.
Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops Advances in Computers , year = 1966, volume =
Reference 1
- Resolution
- metadata mismatch
- doi, observed 2026-07-09T03:45:55.294957Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation a3306a95-bd9d-4753-a83b-12bd56b5f12f · outbound
This paper cites Goedel Machines: Self-Referential Universal Problem Solvers Making Provably Optimal Self-Improvements.
Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops Goedel Machines: Self-Referential Universal Problem Solvers Making Provably Optimal Self-Improvements
Reference 2
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T03:45:55.707246Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 6b018869-fe93-4ecf-99e0-04d360676e93 · outbound
This paper cites Gupta, Neereja Sundaresan, Thomas Alexander, Christopher J.
Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops Gupta, Neereja Sundaresan, Thomas Alexander, Christopher J
Reference 3
- Resolution
- malformed identifier
- doi_truncated, observed 2026-07-09T03:45:55.306458Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 42a28d46-4fdb-4dc0-a0d0-4998af53f8f6 · outbound
This paper cites AlphaEvolve: A coding agent for scientific and algorithmic discovery.
Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops AlphaEvolve: A coding agent for scientific and algorithmic discovery
Reference 4
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T03:45:55.689363Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 827118e0-7111-4c47-8aae-65213ee727f8 · outbound
This paper cites Recursive self-improvement.
Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops Recursive self-improvement
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T03:45:55.854506Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 1dc23bea-2261-4051-aec6-d66c3c7a4ca8 · outbound
This paper cites Self-Refine: Iterative Refinement with Self-Feedback.
Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops Self-Refine: Iterative Refinement with Self-Feedback
Reference 6
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T03:45:55.694490Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation a9c5853f-9068-42f0-8b00-fb7ae44110c8 · outbound
This paper cites STaR: Bootstrapping Reasoning With Reasoning.
Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops STaR: Bootstrapping Reasoning With Reasoning
Reference 7
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T03:45:55.603171Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 47f64fd4-1aa6-4d0e-89f7-1d4fef9652ac · outbound
This paper cites Self-Rewarding Language Models.
Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops Self-Rewarding Language Models
Reference 8
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T03:45:55.566585Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 2670b99e-e1a7-4828-b27a-05acc4bd3850 · outbound
This paper cites G\"odel Agent: A Self-Referential Agent Framework for Recursive Self-Improvement.
Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops G\"odel Agent: A Self-Referential Agent Framework for Recursive Self-Improvement
Reference 9
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T03:45:55.686930Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 27c9302d-3ffb-4dd7-987e-2807dd4b54e7 · outbound
This paper cites Darwin Godel Machine: Open-Ended Evolution of Self-Improving Agents.
Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops Darwin Godel Machine: Open-Ended Evolution of Self-Improving Agents
Reference 10
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T03:45:55.491699Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation bbbf90fa-8e25-4321-aa3f-c7acb26e9583 · outbound
This paper cites The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery.
Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery
Reference 11
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T03:45:55.494637Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 052e9a6c-63a9-4580-b7fd-d91ba08b696b · outbound
This paper cites A survey of on-policy distillation for large language models.
Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops A survey of on-policy distillation for large language models
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T03:45:55.851012Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation bbef61b5-a851-4405-a3a4-b657e4e3abf6 · outbound
This paper cites A Survey of On-Policy Distillation for Large Language Models.
Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops A Survey of On-Policy Distillation for Large Language Models
Reference 13
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T03:45:55.441411Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation a1a3d738-edce-4b76-b7a8-799c8afd63b7 · outbound
This paper cites arXiv preprint arXiv:2510.09988 , year=.
Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops arXiv preprint arXiv:2510.09988 , year=
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-07-09T03:45:55.334811Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation d10a4a27-4f14-47f5-b805-1ea73dee3e74 · outbound
This paper cites Stop Hand-Holding Your Coding Agent: Engineering the Loops that Replace Step-by-Step Prompting.
Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops Stop Hand-Holding Your Coding Agent: Engineering the Loops that Replace Step-by-Step Prompting
Reference 15
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T03:45:55.682090Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation e43774be-18a1-4117-a0e2-0863382af65f · outbound
This paper cites Absolute Zero: Reinforced Self-play Reasoning with Zero Data.
Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops Absolute Zero: Reinforced Self-play Reasoning with Zero Data
Reference 16
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T03:45:55.486406Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 857b53ab-0e68-4f7c-ba70-2d66271365a5 · outbound
This paper cites R-zero: Self-evolving reasoning LLM from zero data,.
Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops R-zero: Self-evolving reasoning LLM from zero data,
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T03:45:55.852954Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation d1e883d4-5917-4f10-98a4-694c69c58a7f · outbound
This paper cites R-Zero: Self-Evolving Reasoning LLM from Zero Data.
Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops R-Zero: Self-Evolving Reasoning LLM from Zero Data
Reference 18
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T03:45:55.692092Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 352bb85d-3d45-4c2f-b8b7-c7da9965ade6 · outbound
This paper cites Reflexion: Language agents with verbal reinforcement learning.
Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops Reflexion: Language agents with verbal reinforcement learning
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T03:45:55.856495Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 7610a1d6-3d30-441d-b690-e5127226deb5 · outbound
This paper cites Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters.
Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters
Reference 20
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T03:45:55.798979Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 29d75de8-38d5-4b8e-bdc1-eaeb5823c2c9 · outbound
This paper cites SymbolicAI: A framework for logic-based approaches combining generative models and solvers.
Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops SymbolicAI: A framework for logic-based approaches combining generative models and solvers
Reference 21
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T03:45:55.478269Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation f628b8f8-0c10-452e-a5fb-bb8a7d74ec68 · outbound
This paper cites Towards Reliable and Robust LLM Planning: Symbolic Feedback-Driven Iterative Self-Refinement Framework.
Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops Towards Reliable and Robust LLM Planning: Symbolic Feedback-Driven Iterative Self-Refinement Framework
Reference 22
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T03:45:55.666272Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation be853cc6-f306-4a83-8a2d-346b681b8555 · outbound
This paper cites SQL-o1: A Self-Reward Heuristic Dynamic Search Method for Text-to-SQL.
Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops SQL-o1: A Self-Reward Heuristic Dynamic Search Method for Text-to-SQL
Reference 23
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T03:45:55.480803Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation e872f53e-0a4d-44c9-8712-bdb7daf48645 · outbound
This paper cites Hallucination Detection-Guided Preference Optimization for Clinical Summarization.
Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops Hallucination Detection-Guided Preference Optimization for Clinical Summarization
Reference 24
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T03:45:55.600495Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation a3fa82e2-1ada-4cf6-bc33-458cd539e9d4 · outbound
This paper cites LongSumEval: Question-Answering Based Evaluation and Feedback-Driven Refinement for Long Document Summarization.
Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops LongSumEval: Question-Answering Based Evaluation and Feedback-Driven Refinement for Long Document Summarization
Reference 25
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T03:45:55.347538Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation b8aabc58-60e4-40d7-9685-c5e212272e99 · outbound
This paper cites LLM-Personalize: Aligning LLM Planners with Human Preferences via Reinforced Self-Training for Housekeeping Robots.
Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops LLM-Personalize: Aligning LLM Planners with Human Preferences via Reinforced Self-Training for Housekeeping Robots
Reference 26
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-09T03:45:55.447394Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 27b2f90b-9240-410d-9fd1-0471a42b72b4 · outbound
This paper cites Adaptive self-improvement LLM agentic system for ML library development, 2025.
Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops Adaptive self-improvement LLM agentic system for ML library development, 2025
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T03:45:55.849016Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation e6a2da08-af7f-463a-bdf3-898ad376c5c0 · outbound
This paper cites What Does LLM Refinement Actually Improve? A Systematic Study on Document-Level Literary Translation.
Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops What Does LLM Refinement Actually Improve? A Systematic Study on Document-Level Literary Translation
Reference 28
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T03:45:55.663975Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation aab2b2be-88c8-4ea0-bfba-e2680564f015 · outbound
This paper cites Large Language Models Cannot Self-Correct Reasoning Yet.
Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops Large Language Models Cannot Self-Correct Reasoning Yet
Reference 29
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T03:45:55.557536Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 123a3099-0f38-40cf-9adf-4be7f1243a11 · outbound
This paper cites When Does Intrinsic Self-Correction Help? A Task-Sensitive Analysis.
Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops When Does Intrinsic Self-Correction Help? A Task-Sensitive Analysis
Reference 30
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T03:45:55.368323Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation a3370c22-b701-4421-ad3a-9ca3a893be92 · outbound
This paper cites When are likely answers right? On Sequence Probability and Correctness in LLMs.
Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops When are likely answers right? On Sequence Probability and Correctness in LLMs
Reference 31
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T03:45:55.405342Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation a912db66-8e34-4b2c-90ca-5253683a8065 · outbound
This paper cites Ask, Don't Judge: Binary Questions for Interpretable LLM Evaluation and Self-Improvement.
Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops Ask, Don't Judge: Binary Questions for Interpretable LLM Evaluation and Self-Improvement
Reference 32
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T03:45:55.408026Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation af829bae-ecfa-4227-8bfe-75bbb8b8c721 · outbound
This paper cites LL3M: Large Language 3D Modelers.
Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops LL3M: Large Language 3D Modelers
Reference 33
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T03:45:55.353500Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 036b60f5-815f-4dc0-8ee3-10de6f56ff34 · outbound
This paper cites AgenticDB: Self-Evolving Reconfiguration Framework for Database Workloads.
Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops AgenticDB: Self-Evolving Reconfiguration Framework for Database Workloads
Reference 34
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T03:45:55.402229Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 644440da-1115-495f-8e49-d149af60d863 · outbound
This paper cites AutoPass: Evidence-Guided LLM Agents for Compiler Performance Tuning.
Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops AutoPass: Evidence-Guided LLM Agents for Compiler Performance Tuning
Reference 35
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T03:45:55.729498Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 98ec3737-b0e1-4ed2-9b53-f6be09825a2c · outbound
This paper cites LEAP: Supercharging LLMs for Formal Mathematics with Agentic Frameworks.
Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops LEAP: Supercharging LLMs for Formal Mathematics with Agentic Frameworks
Reference 36
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T03:45:55.783221Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 70b3f501-cfbc-4b46-9863-e611af8d5dc5 · outbound
This paper cites KVerus: Scalable and Resilient Formal Verification Proof Generation for Rust Code.
Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops KVerus: Scalable and Resilient Formal Verification Proof Generation for Rust Code
Reference 37
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T03:45:55.374227Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation f5c84150-cb27-4560-9629-fc8a5bfc669c · outbound
This paper cites KBSpec: LLM-driven Formal Specification Generation with Evolving Domain Knowledge Base.
Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops KBSpec: LLM-driven Formal Specification Generation with Evolving Domain Knowledge Base
Reference 38
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T03:45:55.414339Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation f15f8a53-9eac-4afc-b011-fdda8f9d4f17 · outbound
This paper cites Verifier-Guided Code Translation via Meta-Step Decoding.
Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops Verifier-Guided Code Translation via Meta-Step Decoding
Reference 39
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T03:45:55.327266Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 3051e410-a2f5-466f-876c-82fdda679d8c · outbound
This paper cites What Drives Interactive Improvement from Feedback?.
Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops What Drives Interactive Improvement from Feedback?
Reference 40
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T03:45:55.331456Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 67bbc434-8833-4e4f-88b6-3d2db08c4848 · outbound
This paper cites Falsification, Not Exposure: An Internally Preregistered Placebo-Controlled Decomposition of Self-Repair Feedback in Frozen Small Code Models.
Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops Falsification, Not Exposure: An Internally Preregistered Placebo-Controlled Decomposition of Self-Repair Feedback in Frozen Small Code Models
Reference 41
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T03:45:55.393882Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 76b3d871-8d98-4c49-803f-6374ed0157fa · outbound
This paper cites Feedback Over Form: Why Execution Feedback Matters More Than Pipeline Topology in 1-3B Code Generation.
Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops Feedback Over Form: Why Execution Feedback Matters More Than Pipeline Topology in 1-3B Code Generation
Reference 42
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T03:45:55.621566Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 26f04597-153e-416d-a8aa-8db17111137d · outbound
This paper cites RubricRefine: Improving Tool-Use Agent Reliability with Training-Free Pre-Execution Refinement.
Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops RubricRefine: Improving Tool-Use Agent Reliability with Training-Free Pre-Execution Refinement
Reference 43
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T03:45:55.504061Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation dfc7faa1-1530-419b-8931-a5e650f9186d · outbound
This paper cites Unlocking LLM code correction with iterative feedback loops,.
Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops Unlocking LLM code correction with iterative feedback loops,
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T03:45:55.876205Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 2dd0242c-8934-47a8-bb8f-c65d7787c58f · outbound
This paper cites Unlocking LLM Code Correction with Iterative Feedback Loops.
Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops Unlocking LLM Code Correction with Iterative Feedback Loops
Reference 45
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T03:45:55.738891Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 6bc72256-f1b6-4835-9614-0038e1c96d7f · outbound
This paper cites Denoising Iterative Self-Correction: Structured Verification Loops for Reliable LLM Reasoning.
Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops Denoising Iterative Self-Correction: Structured Verification Loops for Reliable LLM Reasoning
Reference 46
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T03:45:55.778456Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation b91fceed-1a7b-4f12-a9e4-b04bab3fad30 · outbound
This paper cites FLARE: Fine-Grained Diagnostic Feedback for LLM Code Refinement.
Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops FLARE: Fine-Grained Diagnostic Feedback for LLM Code Refinement
Reference 47
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T03:45:55.460460Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 3a28547e-a231-42ab-a013-21d8f9a9f3bc · outbound
This paper cites CoSPlay: Cooperative Self-Play at Test-Time with Self-Generated Code and Unit Test.
Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops CoSPlay: Cooperative Self-Play at Test-Time with Self-Generated Code and Unit Test
Reference 48
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T03:45:55.545662Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 78c28d50-a80e-48c0-a76d-688f49163fa2 · outbound
This paper cites Kestrel: Grounding self-refinement for L VLM hallucination mitigation, 2026.
Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops Kestrel: Grounding self-refinement for L VLM hallucination mitigation, 2026
Reference 49
- Resolution
- verified exact
- arxiv_id, observed 2026-07-09T03:45:55.755947Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 68065f41-1cf3-45d5-a496-1145cca07d77 · outbound
This paper cites Reflect-R1: Evidence-Driven Reflection for Self-Correction in Long Video Understanding.
Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops Reflect-R1: Evidence-Driven Reflection for Self-Correction in Long Video Understanding
Reference 50
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T03:45:55.592075Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation a4ace666-7e0a-44c8-8f67-172b67eb5cfe · outbound
This paper cites FiRe: Fine-grained Multimodal Reasoning for Enhanced Image Generation.
Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops FiRe: Fine-grained Multimodal Reasoning for Enhanced Image Generation
Reference 51
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T03:45:55.776021Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation ffdef31b-766b-4a24-8f98-676bdd2f7572 · outbound
This paper cites Proprio: Latent Self-Scoring and Inference-Time Refinement for Physically Plausible Video Generation.
Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops Proprio: Latent Self-Scoring and Inference-Time Refinement for Physically Plausible Video Generation
Reference 52
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T03:45:55.362766Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 385107ae-06b9-49dd-8b87-19e965385ed6 · outbound
This paper cites ActiveScope: Actively Seeking and Correcting Perception for MLLMs.
Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops ActiveScope: Actively Seeking and Correcting Perception for MLLMs
Reference 53
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T03:45:55.704740Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation d8721876-882d-4449-9eed-de890e10e47a · outbound
This paper cites Safe Autoregressive Image Generation with Iterative Self-Improving Codebooks.
Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops Safe Autoregressive Image Generation with Iterative Self-Improving Codebooks
Reference 54
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T03:45:55.610831Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation bf017190-862d-485f-adc5-5f7716aaf8ee · outbound
This paper cites Paying More Attention to Visual Tokens in Self-Evolving Large Multimodal Models.
Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops Paying More Attention to Visual Tokens in Self-Evolving Large Multimodal Models
Reference 55
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T03:45:55.469759Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation a6e5c862-e5b1-42d0-8c52-34c7bd603ed4 · outbound
This paper cites Personal Visual Context Learning in Large Multimodal Models.
Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops Personal Visual Context Learning in Large Multimodal Models
Reference 56
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T03:45:55.384955Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation b13de402-a511-4b9c-9cb1-ffef1cdc9121 · outbound
This paper cites Each Judge Its Own Yardstick: Discovering Per-VLM Taxonomies for Physical Video Evaluation.
Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops Each Judge Its Own Yardstick: Discovering Per-VLM Taxonomies for Physical Video Evaluation
Reference 57
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T03:45:55.382139Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation fecc52f1-aec6-4e09-ac33-b2446e68f467 · outbound
This paper cites Query-conditioned test-time self-training for large language models, 2026.
Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops Query-conditioned test-time self-training for large language models, 2026
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T03:45:55.890641Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 00d8d9bf-4441-4ac4-9ff2-b3b4e19aa9c9 · outbound
This paper cites Continual Self-Improvement with Lightweight Experiential Latent Memories.
Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops Continual Self-Improvement with Lightweight Experiential Latent Memories
Reference 59
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T03:45:55.571939Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 2fecb2b9-89b5-4fec-9247-52f5518e5d0d · outbound
This paper cites Language Models Need Sleep: Learning to Self-Modify and Consolidate Memories.
Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops Language Models Need Sleep: Learning to Self-Modify and Consolidate Memories
Reference 60
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T03:45:55.597811Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 1e3ff57d-18da-485b-b977-6daeef297033 · outbound
This paper cites Truly Self-Improving Agents Require Intrinsic Metacognitive Learning.
Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops Truly Self-Improving Agents Require Intrinsic Metacognitive Learning
Reference 61
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T03:45:55.365517Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 3392d613-f5c6-4451-a386-f4ae655efec7 · outbound
This paper cites Environment-Grounded Automated Prompt Optimization for LLM Game Agents.
Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops Environment-Grounded Automated Prompt Optimization for LLM Game Agents
Reference 62
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T03:45:55.780878Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation c513d312-eab5-4b6a-9e8b-b56cbce3139b · outbound
This paper cites Inference-Time Scaling of Verification: Self-Evolving Deep Research Agents via Test-Time Rubric-Guided Verification.
Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops Inference-Time Scaling of Verification: Self-Evolving Deep Research Agents via Test-Time Rubric-Guided Verification
Reference 63
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T03:45:55.589146Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 43775fb4-66a1-412a-a74a-89af095e2273 · outbound
This paper cites The Red Queen G\"odel Machine: Co-Evolving Agents and Their Evaluators.
Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops The Red Queen G\"odel Machine: Co-Evolving Agents and Their Evaluators
Reference 64
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-09T03:45:55.542552Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 08494592-21af-4258-b241-1fb074f9bf12 · outbound
This paper cites Sc.) Yang.
Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops Sc.) Yang
Reference 65
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T03:45:55.888879Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 543204a5-c8b4-4720-a60f-7f6cb2299f8b · outbound
This paper cites QueenBee Planner: Skill-Evolving Communication Topologies for Token-Efficient LLM Multi-Agent Systems.
Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops QueenBee Planner: Skill-Evolving Communication Topologies for Token-Efficient LLM Multi-Agent Systems
Reference 66
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T03:45:55.712618Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation fe97aaba-40e3-4095-b6a1-251cba9aa7b0 · outbound
This paper cites Learning from Failure: Inference-Time Self-Improvement for Computer-Use Agents.
Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops Learning from Failure: Inference-Time Self-Improvement for Computer-Use Agents
Reference 67
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T03:45:55.388063Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation bae873d4-074d-40f7-aaaa-351250de3836 · outbound
This paper cites Experience Graphs: The Data Foundation for Self-Improving Agents.
Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops Experience Graphs: The Data Foundation for Self-Improving Agents
Reference 68
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T03:45:55.435691Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation c37c90ef-bcf3-4b4c-be05-e182593789a5 · outbound
This paper cites The meta-agent challenge: Are current agents capable of autonomous agent development?, 2026.
Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops The meta-agent challenge: Are current agents capable of autonomous agent development?, 2026
Reference 69
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T03:45:55.860156Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 918b8024-0878-4f7e-9a0a-ab652bdc3238 · outbound
This paper cites SAGE: A quantitative evaluation of socialized evolution in agent ecosystems, 2026.
Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops SAGE: A quantitative evaluation of socialized evolution in agent ecosystems, 2026
Reference 70
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T03:45:55.880029Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 532cbc44-7530-4413-97c4-723818559cab · outbound
This paper cites Multi-Agent Reasoning Improves Compute Efficiency: Pareto-Optimal Test-Time Scaling.
Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops Multi-Agent Reasoning Improves Compute Efficiency: Pareto-Optimal Test-Time Scaling
Reference 71
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T03:45:55.536724Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 9e08a5e0-49a1-4228-95d1-b525d8ab4f80 · outbound
This paper cites Voyager: An Open-Ended Embodied Agent with Large Language Models.
Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops Voyager: An Open-Ended Embodied Agent with Large Language Models
Reference 72
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T03:45:55.647523Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 69bd13eb-2b1d-49ac-a857-a095c6144429 · outbound
This paper cites SkillAxe: Sharpening LLM-Authored Agent Skills Through Evaluation-Guided Self-Refinement.
Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops SkillAxe: Sharpening LLM-Authored Agent Skills Through Evaluation-Guided Self-Refinement
Reference 73
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T03:45:55.586334Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 64078c97-1cb0-4eb7-b70c-15dd90ce9b12 · outbound
This paper cites Skill-R1: Agent Skill Evolution via Reinforcement Learning.
Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops Skill-R1: Agent Skill Evolution via Reinforcement Learning
Reference 74
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-09T03:45:55.417470Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 57d0a835-f9ce-48f8-a932-00ec0a3f9521 · outbound
This paper cites SkillRevise: Improving LLM-Authored Agent Skills via Trace-Conditioned Skill Revision.
Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops SkillRevise: Improving LLM-Authored Agent Skills via Trace-Conditioned Skill Revision
Reference 75
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T03:45:55.376945Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 448c7e51-ec6c-42c5-bf64-8292882bd958 · outbound
This paper cites AlgoSkill: Learning to Design Algorithms by Scheduling Human-Like Skills.
Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops AlgoSkill: Learning to Design Algorithms by Scheduling Human-Like Skills
Reference 76
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T03:45:55.684552Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation bbeadfd5-a759-4c5f-b6cd-4f3d34323bb9 · outbound
This paper cites SkillMaster: Toward Autonomous Skill Mastery in LLM Agents.
Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops SkillMaster: Toward Autonomous Skill Mastery in LLM Agents
Reference 77
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T03:45:55.637652Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 96eb4a80-d5c2-48b0-b021-95d1bec016b5 · outbound
This paper cites FederatedSkill: Federated Learning for Agentic Skill Evolution.
Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops FederatedSkill: Federated Learning for Agentic Skill Evolution
Reference 78
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T03:45:55.642671Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 35bdcda2-1e37-4b8e-ab92-951d0d0e6437 · outbound
This paper cites SkillSmith: Co-Evolving Skills and Tools for Self-Improving Agent Systems.
Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops SkillSmith: Co-Evolving Skills and Tools for Self-Improving Agent Systems
Reference 79
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T03:45:55.722234Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 8580d7b7-eb70-4d7e-9351-6045a50e5ec6 · outbound
This paper cites Socratic-SWE: Self-Evolving Coding Agents via Trace-Derived Agent Skills.
Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops Socratic-SWE: Self-Evolving Coding Agents via Trace-Derived Agent Skills
Reference 80
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T03:45:55.717442Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 9e835dfa-2a5c-4c45-88eb-19e8fc8af797 · outbound
This paper cites SHARP: A Self-Evolving Human-Auditable Rubric Policy for Financial Trading Agents.
Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops SHARP: A Self-Evolving Human-Auditable Rubric Policy for Financial Trading Agents
Reference 81
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T03:45:55.652368Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 728cc8bb-e18b-4337-ab4c-392181cabd8e · outbound
This paper cites SkillMutator: Benchmarking and defending language-and-code cross-modal attacks on LLM agent skills, 2026.
Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops SkillMutator: Benchmarking and defending language-and-code cross-modal attacks on LLM agent skills, 2026
Reference 82
- Resolution
- verified exact
- arxiv_id, observed 2026-07-09T03:45:55.607223Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 4aa2734b-6e02-4619-8040-3265ebd7eb81 · outbound
This paper cites SkillHarness: Harnessing Safe Skills for Computer-Use Agents.
Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops SkillHarness: Harnessing Safe Skills for Computer-Use Agents
Reference 83
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T03:45:55.580414Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 6cfbc72c-dd20-4aa1-996b-b24787a894f9 · outbound
This paper cites VASO: Formally Verifiable Self-Evolving Skills for Physical AI Agents.
Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops VASO: Formally Verifiable Self-Evolving Skills for Physical AI Agents
Reference 84
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-09T03:45:55.656822Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation e1b4cef2-3307-4b53-b8fe-e8409733b8f6 · outbound
This paper cites Safety in Self-Evolving LLM Agent Systems: Threats, Amplification, and Case Studies.
Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops Safety in Self-Evolving LLM Agent Systems: Threats, Amplification, and Case Studies
Reference 85
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T03:45:55.634851Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 86869a38-534c-4d0e-8a5b-946acae246bd · outbound
This paper cites Towards Healthy Evolution: Exploring the Role and Mechanisms of Human-Agent Interaction in Self-Evolving Systems.
Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops Towards Healthy Evolution: Exploring the Role and Mechanisms of Human-Agent Interaction in Self-Evolving Systems
Reference 86
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T03:45:55.475665Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 327a5ae8-dbd3-427a-ad6a-8f2b1bf6a204 · outbound
This paper cites Co-Reyes, Rishabh Agarwal, et al.
Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops Co-Reyes, Rishabh Agarwal, et al
Reference 87
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T03:45:55.847181Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation a9c370f1-2fbc-4c4e-b52a-fc9983e517b4 · outbound
This paper cites Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models.
Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models
Reference 88
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T03:45:55.613579Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation d5ea40c1-a14f-41a6-8463-a32c16913dd9 · outbound
This paper cites ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search.
Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search
Reference 89
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T03:45:55.624038Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 269bbb38-c485-4f12-a941-d737465ff684 · outbound
This paper cites SEVA: Self-Evolving Verification Agent with Process Reward for Fact Attribution.
Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops SEVA: Self-Evolving Verification Agent with Process Reward for Fact Attribution
Reference 90
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T03:45:55.569273Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation c28d8365-394d-49be-825e-6e454133415b · outbound
This paper cites EvoIdeator: Evolving scientific ideas through checklist-grounded reinforcement learning, 2026.
Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops EvoIdeator: Evolving scientific ideas through checklist-grounded reinforcement learning, 2026
Reference 91
- Resolution
- verified exact
- arxiv_id, observed 2026-07-09T03:45:55.411227Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 5fc4ad16-0326-49fe-8790-14cc8e03fe5a · outbound
This paper cites Retrospective progress-aware self-refinement for LLM agent training, 2026.
Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops Retrospective progress-aware self-refinement for LLM agent training, 2026
Reference 92
- Resolution
- verified exact
- arxiv_id, observed 2026-07-09T03:45:55.626889Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 3c8b8292-a30f-40a8-b3d0-ff60fe362ed0 · outbound
This paper cites The value axis: Language models encode whether they’re on the right track, 2026.
Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops The value axis: Language models encode whether they’re on the right track, 2026
Reference 93
- Resolution
- verified exact
- arxiv_id, observed 2026-07-09T03:45:55.619007Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation ab8cdbd4-d068-445f-851f-11d30965313b · outbound
This paper cites Self-Trained Verification for Training- and Test-Time Self-Improvement.
Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops Self-Trained Verification for Training- and Test-Time Self-Improvement
Reference 94
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T03:45:55.527822Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 9464d382-33b3-4475-bdc9-51ca0acae61f · outbound
This paper cites Self-Improvement Can Self-Regress: The Rise-and-Collapse Failure Mode of LLM Self-Training.
Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops Self-Improvement Can Self-Regress: The Rise-and-Collapse Failure Mode of LLM Self-Training
Reference 95
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T03:45:55.371267Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 182584ca-5e46-426e-a268-0f8f0e5f71e9 · outbound
This paper cites When LLM Reward Design Fails: Diagnostic-Driven Refinement for Sparse Structured RL.
Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops When LLM Reward Design Fails: Diagnostic-Driven Refinement for Sparse Structured RL
Reference 96
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T03:45:55.320802Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 455786b4-2d1d-4425-859e-4b25003b55bb · outbound
This paper cites Repeated post-training is not self-improving: Diagnosing scientific amnesia in continual DPO pipelines,.
Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops Repeated post-training is not self-improving: Diagnosing scientific amnesia in continual DPO pipelines,
Reference 97
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T03:45:55.883705Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 33730790-45f5-46b6-8449-658ff1ca253e · outbound
This paper cites Repeated post-training is not Self-improving: Diagnosing Scientific Amnesia in Continual DPO Pipelines.
Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops Repeated post-training is not Self-improving: Diagnosing Scientific Amnesia in Continual DPO Pipelines
Reference 98
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T03:45:55.399431Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 4f30db50-85eb-469b-9b06-b2b45f16cf22 · outbound
This paper cites Re-ReST: Reflection-reinforced self-training for language agents, 2024.
Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops Re-ReST: Reflection-reinforced self-training for language agents, 2024
Reference 99
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T03:45:55.881892Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 5fb69b4c-d12f-4e0b-b557-bd89596271da · outbound
This paper cites PRefLexOR: Preference-based Recursive Language Modeling for Exploratory Optimization of Reasoning and Agentic Thinking.
Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops PRefLexOR: Preference-based Recursive Language Modeling for Exploratory Optimization of Reasoning and Agentic Thinking
Reference 100
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T03:45:55.510480Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Pith citing papers
Observation 3edcfe75-972c-435b-9a0d-84a392562412 · inbound
The Calibration Floor: Format Repair Can Masquerade as Self-Correction at Small-to-Mid Scale cites this paper.
The Calibration Floor: Format Repair Can Masquerade as Self-Correction at Small-to-Mid Scale Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops
Reference 8
- Resolution
- verified exact
- local_arxiv, observed 2026-08-08T19:13:05.886833Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 495abdf0-ba25-461b-9bfa-39dccef6eade · inbound
The Horizon Gap: Planning, Memory, Execution, Training, and Evaluation for Long-Horizon LLM Agents cites this paper.
The Horizon Gap: Planning, Memory, Execution, Training, and Evaluation for Long-Horizon LLM Agents Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T23:01:35.509270Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2b94b6b5-95a5-465f-b1be-3a32ee14a82a · inbound
Macaron-V1: Towards Open Continual Learning with Self-Improvement and Mixture-of-LoRA cites this paper.
Macaron-V1: Towards Open Continual Learning with Self-Improvement and Mixture-of-LoRA Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops
Reference 2024
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T10:20:58.764730Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.