Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-06-29T12:57:28.931392Z
Paper Citation Record · LEDGER
As of 4 August 2026, this Paper Citation Record lists 70 of 70 outbound references and 1 inbound Pith citation observation for arXiv:2605.28814.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-06-29T12:57:28.931392Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-04T01:12:36.464200Z
A source-named dated measurement, never combined with another source.
Source: cited_works
70 of 70 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 202fd688-4e71-4d1c-b213-417b44bba8f4 · outbound
Self-Improving Language Models with Bidirectional Evolutionary Search GEPA: Reflective prompt evolution can outperform reinforcement learning
Reference 1
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Observation a23cb368-aa30-41b5-b17b-58dc32c76a82 · outbound
Self-Improving Language Models with Bidirectional Evolutionary Search Banzhaf, J.R
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Observation 3bfc404f-6cae-42b6-afc7-eb09720286f4 · outbound
Self-Improving Language Models with Bidirectional Evolutionary Search Graph of thoughts: Solving elaborate problems with large language models
Reference 3
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Observation 12bcbd3c-f115-4a41-85d0-812c8460d2bc · outbound
Self-Improving Language Models with Bidirectional Evolutionary Search Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Reference 4
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Observation 2f18e41e-de62-4dec-947d-b7a487be5be5 · outbound
Self-Improving Language Models with Bidirectional Evolutionary Search Oxford University Press, 1999
Reference 5
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Self-Improving Language Models with Bidirectional Evolutionary Search FrontierMath: A Benchmark for Evaluating Advanced Mathematical Reasoning in AI
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Self-Improving Language Models with Bidirectional Evolutionary Search The Llama 3 Herd of Models
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Self-Improving Language Models with Bidirectional Evolutionary Search rstar-math: Small LLMs can master math reasoning with self-evolved deep thinking
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Observation 555a2b25-9634-42f9-af15-510f9af363d9 · outbound
Self-Improving Language Models with Bidirectional Evolutionary Search doi: 10.1038/s41586-025-09422-z
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Observation a0cf8e7a-b129-4047-9e8f-5d1d80208680 · outbound
Self-Improving Language Models with Bidirectional Evolutionary Search Reasoning with language model is planning with world model
Reference 10
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Observation ed7fb383-f703-42de-be3b-fdf613c98250 · outbound
Self-Improving Language Models with Bidirectional Evolutionary Search A formal basis for the heuristic determination of minimum cost paths
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Observation ceaa2b5a-77d7-441b-91e2-347513933b74 · outbound
Self-Improving Language Models with Bidirectional Evolutionary Search Holland.Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence
Reference 12
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Observation 726d0096-d99b-4e1c-8c0b-7c9ea2a22401 · outbound
Self-Improving Language Models with Bidirectional Evolutionary Search T ree RL : LLM reinforcement learning with on-policy tree search
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Observation 7e443fc9-fd8b-4ca0-9b7f-f85ba5956959 · outbound
Self-Improving Language Models with Bidirectional Evolutionary Search Ash, and Akshay Krishnamurthy
Reference 14
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Observation 5f917733-865f-415a-8807-b3aea7c5cb78 · outbound
Self-Improving Language Models with Bidirectional Evolutionary Search Unresolved cited work
Reference 15
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Self-Improving Language Models with Bidirectional Evolutionary Search URL https://aclanthology.org/2025
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Observation a514efe7-d34a-4b94-bc83-cbb77e1384d4 · outbound
Self-Improving Language Models with Bidirectional Evolutionary Search Tree search for LLM agent reinforcement learning
Reference 17
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Observation c7efff77-68c6-404c-8cf1-300f63963b79 · outbound
Self-Improving Language Models with Bidirectional Evolutionary Search emnlp-main.1173/
Reference 18
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Self-Improving Language Models with Bidirectional Evolutionary Search Unresolved cited work
Reference 19
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Observation 47ad7476-0ce8-4e28-94f8-78af29eb608b · outbound
Self-Improving Language Models with Bidirectional Evolutionary Search Bandit based monte-carlo planning
Reference 20
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Observation 9dc18e43-35db-4e72-90b9-989ea0597c52 · outbound
Self-Improving Language Models with Bidirectional Evolutionary Search ShinkaEvolve: Towards Open-Ended And Sample-Efficient Program Evolution
Reference 21
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Observation 6c25d6d8-5fd4-40f5-b8d6-83629b5d5e8a · outbound
Self-Improving Language Models with Bidirectional Evolutionary Search Lawler and D
Reference 22
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Observation 4fbfaab1-47b2-4cd2-973f-2fc62e347a31 · outbound
Self-Improving Language Models with Bidirectional Evolutionary Search Mankowitz, Esme Sutherland Robson, Pushmeet Kohli, Nando De Freitas, Koray Kavukcuoglu, and Oriol Vinyals
Reference 23
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Self-Improving Language Models with Bidirectional Evolutionary Search Dimakis, Matei Zaharia, and Ion Stoica
Reference 24
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Observation 0c12dfc6-879b-44df-a1e8-e923e2107093 · outbound
Self-Improving Language Models with Bidirectional Evolutionary Search Self-refine: Iterative refinement with self-feedback
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Observation ad82f24f-b6be-4023-9dd2-9c83297f3cc0 · outbound
Self-Improving Language Models with Bidirectional Evolutionary Search Wider or deeper? scaling LLM inference-time compute with adaptive branching tree search
Reference 26
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Observation 595bb602-4a44-4dae-9f64-a50ae1aafac9 · outbound
Self-Improving Language Models with Bidirectional Evolutionary Search Some genetic aspects of sex.The American Naturalist, 66(703): 118–138, 1932
Reference 27
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Observation d4e7361b-8177-4b59-87c0-b52a389fb2d4 · outbound
Self-Improving Language Models with Bidirectional Evolutionary Search AlphaEvolve: A coding agent for scientific and algorithmic discovery
Reference 28
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Observation 974dc196-d41a-4d90-8cef-b954b7f3e3bf · outbound
Self-Improving Language Models with Bidirectional Evolutionary Search Self-Improving Language Models for Evolutionary Program Synthesis: A Case Study on ARC-AGI, March 2026
Reference 29
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Observation ffc473d9-4602-4da9-ac60-cab8ce840e4b · outbound
Self-Improving Language Models with Bidirectional Evolutionary Search Mutual reasoning makes smaller LLMs stronger problem-solver
Reference 30
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Observation 17037006-e695-4d8e-82de-cd3c3c0a5104 · outbound
Self-Improving Language Models with Bidirectional Evolutionary Search Mathematical discoveries from program search with large language models
Reference 31
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Observation 8295a408-ddd7-4d7d-8945-ca919c43286d · outbound
Self-Improving Language Models with Bidirectional Evolutionary Search Openevolve: an open-source evolutionary coding agent, 2025
Reference 32
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Observation b1b98a4f-b9f5-403a-98e9-b4935ad48241 · outbound
Self-Improving Language Models with Bidirectional Evolutionary Search Reflexion: language agents with verbal reinforcement learning
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Observation afd4ecc1-2967-4de4-b179-df1b2b4f6450 · outbound
Self-Improving Language Models with Bidirectional Evolutionary Search Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces
Reference 34
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Observation 06eaf810-3167-44b8-9395-df83e96928c1 · outbound
Self-Improving Language Models with Bidirectional Evolutionary Search arXiv preprint arXiv:2602.02710 , year=
Reference 35
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Observation ee6ac03a-7893-4a42-a395-ac9d54a883e4 · outbound
Self-Improving Language Models with Bidirectional Evolutionary Search Gemma 3 Technical Report
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Observation 0f56316b-a71f-475c-9c86-c7f5b3ca6ee3 · outbound
Self-Improving Language Models with Bidirectional Evolutionary Search ♫ M u S i Q ue: Multihop Questions via Single-hop Question Composition
Reference 37
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Observation 63418267-b4de-4503-b40d-e43da440ca7c · outbound
Self-Improving Language Models with Bidirectional Evolutionary Search V oyager: An open-ended embodied agent with large language models.Transactions on Machine Learning Research, 2024
Reference 38
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Observation 60a7ec65-8de0-4ca3-bb19-8224d75b6268 · outbound
Self-Improving Language Models with Bidirectional Evolutionary Search Efficient evolutionary search over chemical space with large language models
Reference 39
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Observation 61aed953-b580-4dae-9e67-1785331c9619 · outbound
Self-Improving Language Models with Bidirectional Evolutionary Search Unresolved cited work
Reference 40
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Observation eb9a0798-38fe-4618-8ea9-c367fe5f3db0 · outbound
Self-Improving Language Models with Bidirectional Evolutionary Search Thetaevolve: Test-time learning on open problems,
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Observation fcf2e365-f14e-4bc0-aafc-b24a979c57b5 · outbound
Self-Improving Language Models with Bidirectional Evolutionary Search ThetaEvolve: Test-time Learning on Open Problems
Reference 42
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Observation 61d02a53-e695-47de-ab01-c9552400ee09 · outbound
Self-Improving Language Models with Bidirectional Evolutionary Search Chi, Quoc V Le, and Denny Zhou
Reference 43
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Observation ba629882-4d4a-4428-b6c9-9d8bcf72f517 · outbound
Self-Improving Language Models with Bidirectional Evolutionary Search Inference scaling laws: An empirical analysis of compute-optimal inference for LLM problem-solving
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Observation b3c25cdb-d6e4-4d98-8cb8-f5502d485792 · outbound
Self-Improving Language Models with Bidirectional Evolutionary Search Large language interpolators can learn logical reasoning: A study on knights and knaves puzzles
Reference 45
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Observation 6939c235-d888-4915-84ca-3aa585368e50 · outbound
Self-Improving Language Models with Bidirectional Evolutionary Search Monte carlo tree search boosts reasoning via iterative preference learning
Reference 46
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Observation 7447ba06-dd2e-47ad-a0d6-e79f39288746 · outbound
Self-Improving Language Models with Bidirectional Evolutionary Search Griffiths, Yuan Cao, and Karthik R Narasimhan
Reference 47
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Observation fe0dbfdd-628d-4140-876a-db881326d444 · outbound
Self-Improving Language Models with Bidirectional Evolutionary Search DAPO: An Open-Source LLM Reinforcement Learning System at Scale
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Observation 40564b06-ba3d-4341-bb8e-c62e4f57a7b3 · outbound
Self-Improving Language Models with Bidirectional Evolutionary Search Self-rewarding language models
Reference 49
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Observation c0ea7cb9-5bf0-4396-9f23-ebd28a3afa61 · outbound
Self-Improving Language Models with Bidirectional Evolutionary Search Does reinforcement learning really incentivize reasoning capacity in LLMs beyond the base model? InThe Thirty-ninth Annual Conference on Neural Information Processing Systems, 2026
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Observation c83bf9b8-487b-4b07-9b4f-d61934493d47 · outbound
Self-Improving Language Models with Bidirectional Evolutionary Search Learning to Discover at Test Time
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Observation 7eaa2d0e-50cc-466e-b0f7-ddb3d632bd1a · outbound
Self-Improving Language Models with Bidirectional Evolutionary Search Star: Bootstrapping reasoning with reasoning
Reference 52
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Observation 58d120dc-6af8-4f17-8383-5c928f4f4218 · outbound
Self-Improving Language Models with Bidirectional Evolutionary Search Self-taught opti- mizer (STOP): Recursively self-improving code generation
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Self-Improving Language Models with Bidirectional Evolutionary Search ### Final Answer
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Reference 55
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Observation 3177069f-ddc9-48ec-8e91-e83c042f3223 · outbound
Self-Improving Language Models with Bidirectional Evolutionary Search attacks a different failure mode than what the current program already handles)
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Self-Improving Language Models with Bidirectional Evolutionary Search Do not iterate on the current implementation
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Self-Improving Language Models with Bidirectional Evolutionary Search distant relative
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Observation 9e045169-fd9a-4979-a389-b361747d60d5 · outbound
Self-Improving Language Models with Bidirectional Evolutionary Search Keep the rest of the current program intact
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Self-Improving Language Models with Bidirectional Evolutionary Search Argue in the <DESCRIPTION>: which trick, why this one, and why grafting it onto the current skeleton is more promising than full crossover
Reference 74
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Observation b1f63601-46e2-48e7-8230-0a2fdc49fd81 · outbound
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Reference 77
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Self-Improving Language Models with Bidirectional Evolutionary Search G.1 Circle Packing (Square) The best program for the n=26 unit-square instance is a hybrid global optimiser
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