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Paper Citation Record · LEDGER

Self-Improving Language Models with Bidirectional Evolutionary Search

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.

pith.paper-citation-record.v1
2605.28814 v1

Coverage vector

measured 70 of 70 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-29T12:57:28.931392Z

measured 71 of 71 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T01:12:36.464200Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

70 of 70 outbound references displayed

  • verified exact20
  • verified fuzzy0
  • unresolved46
  • parse uncertain1
  • malformed identifier0
  • metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 202fd688-4e71-4d1c-b213-417b44bba8f4 · outbound

This paper cites GEPA: Reflective prompt evolution can outperform reinforcement learning.

Self-Improving Language Models with Bidirectional Evolutionary Search GEPA: Reflective prompt evolution can outperform reinforcement learning

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation a23cb368-aa30-41b5-b17b-58dc32c76a82 · outbound

This paper cites Banzhaf, J.R.

Self-Improving Language Models with Bidirectional Evolutionary Search Banzhaf, J.R

Reference 2

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arxiv_id, observed 2026-06-29T13:03:25.792662Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 3bfc404f-6cae-42b6-afc7-eb09720286f4 · outbound

This paper cites Graph of thoughts: Solving elaborate problems with large language models.

Self-Improving Language Models with Bidirectional Evolutionary Search Graph of thoughts: Solving elaborate problems with large language models

Reference 3

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doi, observed 2026-06-29T13:03:25.806689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 12bcbd3c-f115-4a41-85d0-812c8460d2bc · outbound

This paper cites Large Language Monkeys: Scaling Inference Compute with Repeated Sampling.

Self-Improving Language Models with Bidirectional Evolutionary Search Large Language Monkeys: Scaling Inference Compute with Repeated Sampling

Reference 4

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local_arxiv, observed 2026-06-29T13:03:26.440457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-29T12:57:28.931392Z digest=sha256:5f9d1a5085b83f8caccc2516f423daa9baf315036505858a3f5961c9714cf0d8

Observation 2f18e41e-de62-4dec-947d-b7a487be5be5 · outbound

This paper cites Oxford University Press, 1999.

Self-Improving Language Models with Bidirectional Evolutionary Search Oxford University Press, 1999

Reference 5

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source=pdf_text observed=2026-06-29T12:57:28.931392Z digest=sha256:45b175628b146ed168704a023a6b41c06081730885308ad00538f8afb85dc391

Observation 962229af-4518-4832-8218-d9276d110c0a · outbound

This paper cites FrontierMath: A Benchmark for Evaluating Advanced Mathematical Reasoning in AI.

Self-Improving Language Models with Bidirectional Evolutionary Search FrontierMath: A Benchmark for Evaluating Advanced Mathematical Reasoning in AI

Reference 6

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local_arxiv, observed 2026-06-29T13:03:26.436991Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 01b63210-cb74-447c-9d29-7ac7dedba936 · outbound

This paper cites The Llama 3 Herd of Models.

Self-Improving Language Models with Bidirectional Evolutionary Search The Llama 3 Herd of Models

Reference 7

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local_arxiv, observed 2026-06-29T13:03:26.434168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-29T12:57:28.931392Z digest=sha256:d201b25c19fe37cc2ccc55ee68a7c8a1746a7f9f10e7516f00bdee8c09bd5e3c

Observation c189a1c9-85e6-4077-9d2e-a9715658c3db · outbound

This paper cites rstar-math: Small LLMs can master math reasoning with self-evolved deep thinking.

Self-Improving Language Models with Bidirectional Evolutionary Search rstar-math: Small LLMs can master math reasoning with self-evolved deep thinking

Reference 8

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Observation 555a2b25-9634-42f9-af15-510f9af363d9 · outbound

This paper cites doi: 10.1038/s41586-025-09422-z.

Self-Improving Language Models with Bidirectional Evolutionary Search doi: 10.1038/s41586-025-09422-z

Reference 9

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verified exact
doi, observed 2026-06-29T13:03:25.796889Z

Source-reported events for the cited work

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Observation a0cf8e7a-b129-4047-9e8f-5d1d80208680 · outbound

This paper cites Reasoning with language model is planning with world model.

Self-Improving Language Models with Bidirectional Evolutionary Search Reasoning with language model is planning with world model

Reference 10

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doi, observed 2026-06-29T13:03:25.798899Z

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Observation ed7fb383-f703-42de-be3b-fdf613c98250 · outbound

This paper cites A formal basis for the heuristic determination of minimum cost paths.

Self-Improving Language Models with Bidirectional Evolutionary Search A formal basis for the heuristic determination of minimum cost paths

Reference 11

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation ceaa2b5a-77d7-441b-91e2-347513933b74 · outbound

This paper cites Holland.Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence.

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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doi, observed 2026-06-29T13:03:25.804566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 726d0096-d99b-4e1c-8c0b-7c9ea2a22401 · outbound

This paper cites T ree RL : LLM reinforcement learning with on-policy tree search.

Self-Improving Language Models with Bidirectional Evolutionary Search T ree RL : LLM reinforcement learning with on-policy tree search

Reference 13

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doi, observed 2026-06-29T13:03:25.794050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 7e443fc9-fd8b-4ca0-9b7f-f85ba5956959 · outbound

This paper cites Ash, and Akshay Krishnamurthy.

Self-Improving Language Models with Bidirectional Evolutionary Search Ash, and Akshay Krishnamurthy

Reference 14

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Source-reported events for the cited work

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Observation 5f917733-865f-415a-8807-b3aea7c5cb78 · outbound

This paper cites an unresolved cited work.

Self-Improving Language Models with Bidirectional Evolutionary Search Unresolved cited work

Reference 15

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Observation 6e7a44b9-5e0a-40c5-97b9-035d9ccb1203 · outbound

This paper cites URL https://aclanthology.org/2025.

Self-Improving Language Models with Bidirectional Evolutionary Search URL https://aclanthology.org/2025

Reference 16

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doi, observed 2026-06-29T13:03:25.800844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation a514efe7-d34a-4b94-bc83-cbb77e1384d4 · outbound

This paper cites Tree search for LLM agent reinforcement learning.

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

This paper cites emnlp-main.1173/.

Self-Improving Language Models with Bidirectional Evolutionary Search emnlp-main.1173/

Reference 18

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doi, observed 2026-06-29T13:03:25.794564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 039c689d-7fe2-4e17-8bad-d494fd2ca592 · outbound

This paper cites an unresolved cited work.

Self-Improving Language Models with Bidirectional Evolutionary Search Unresolved cited work

Reference 19

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Observation 47ad7476-0ce8-4e28-94f8-78af29eb608b · outbound

This paper cites Bandit based monte-carlo planning.

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

This paper cites ShinkaEvolve: Towards Open-Ended And Sample-Efficient Program Evolution.

Self-Improving Language Models with Bidirectional Evolutionary Search ShinkaEvolve: Towards Open-Ended And Sample-Efficient Program Evolution

Reference 21

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local_arxiv, observed 2026-06-29T13:03:26.452471Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 6c25d6d8-5fd4-40f5-b8d6-83629b5d5e8a · outbound

This paper cites Lawler and D.

Self-Improving Language Models with Bidirectional Evolutionary Search Lawler and D

Reference 22

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Observation 4fbfaab1-47b2-4cd2-973f-2fc62e347a31 · outbound

This paper cites Mankowitz, Esme Sutherland Robson, Pushmeet Kohli, Nando De Freitas, Koray Kavukcuoglu, and Oriol Vinyals.

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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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation c350e13c-858f-4afc-9830-44450f5b5cd4 · outbound

This paper cites Dimakis, Matei Zaharia, and Ion Stoica.

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

This paper cites Self-refine: Iterative refinement with self-feedback.

Self-Improving Language Models with Bidirectional Evolutionary Search Self-refine: Iterative refinement with self-feedback

Reference 25

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Observation ad82f24f-b6be-4023-9dd2-9c83297f3cc0 · outbound

This paper cites Wider or deeper? scaling LLM inference-time compute with adaptive branching tree search.

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

This paper cites Some genetic aspects of sex.The American Naturalist, 66(703): 118–138, 1932.

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

This paper cites AlphaEvolve: A coding agent for scientific and algorithmic discovery.

Self-Improving Language Models with Bidirectional Evolutionary Search AlphaEvolve: A coding agent for scientific and algorithmic discovery

Reference 28

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local_arxiv, observed 2026-06-29T13:03:26.449369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-29T12:57:28.931392Z digest=sha256:2e71532036fc8308f8adbe034ef226e5e5042b88beeeee1701e6f3f687e2aeba

Observation 974dc196-d41a-4d90-8cef-b954b7f3e3bf · outbound

This paper cites Self-Improving Language Models for Evolutionary Program Synthesis: A Case Study on ARC-AGI, March 2026.

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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arxiv_id, observed 2026-06-29T13:03:26.456885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation ffc473d9-4602-4da9-ac60-cab8ce840e4b · outbound

This paper cites Mutual reasoning makes smaller LLMs stronger problem-solver.

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

This paper cites Mathematical discoveries from program search with large language models.

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

This paper cites Openevolve: an open-source evolutionary coding agent, 2025.

Self-Improving Language Models with Bidirectional Evolutionary Search Openevolve: an open-source evolutionary coding agent, 2025

Reference 32

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source=pdf_text observed=2026-06-29T12:57:28.931392Z digest=sha256:8f57fd6d0cf6fc4c384ea7ecf282e20e51a1c3a8f9d28e3b7deee8f3cafda98e

Observation b1b98a4f-b9f5-403a-98e9-b4935ad48241 · outbound

This paper cites Reflexion: language agents with verbal reinforcement learning.

Self-Improving Language Models with Bidirectional Evolutionary Search Reflexion: language agents with verbal reinforcement learning

Reference 33

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source=pdf_text observed=2026-06-29T12:57:28.931392Z digest=sha256:aea42a29b1e8e13854fa0f48f7e00faeba11f26313c70cdd18a24a8fc750fd49

Observation afd4ecc1-2967-4de4-b179-df1b2b4f6450 · outbound

This paper cites Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces.

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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doi, observed 2026-06-29T13:03:25.802658Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-29T12:57:28.931392Z digest=sha256:0677823630a329bcbf30add3ce38f67bcc79d59d0abc4da211d7bbcedba14b0a

Observation 06eaf810-3167-44b8-9395-df83e96928c1 · outbound

This paper cites arXiv preprint arXiv:2602.02710 , year=.

Self-Improving Language Models with Bidirectional Evolutionary Search arXiv preprint arXiv:2602.02710 , year=

Reference 35

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arxiv_id, observed 2026-06-29T13:03:26.445544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-29T12:57:28.931392Z digest=sha256:081c9ebf2d7ab88e1786806fc35a8b629f8174d745a8bddb3ab6f8118b9ac2ca

Observation ee6ac03a-7893-4a42-a395-ac9d54a883e4 · outbound

This paper cites Gemma 3 Technical Report.

Self-Improving Language Models with Bidirectional Evolutionary Search Gemma 3 Technical Report

Reference 36

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local_arxiv, observed 2026-06-29T13:03:26.464152Z

Source-reported events for the cited work

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Observation 0f56316b-a71f-475c-9c86-c7f5b3ca6ee3 · outbound

This paper cites ♫ M u S i Q ue: Multihop Questions via Single-hop Question Composition.

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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source=pdf_text observed=2026-06-29T12:57:28.931392Z digest=sha256:f416d7605e7b0322f8bd9234465bd90f66ee359ab18aad858a847ec4c1433fe0

Observation 63418267-b4de-4503-b40d-e43da440ca7c · outbound

This paper cites V oyager: An open-ended embodied agent with large language models.Transactions on Machine Learning Research, 2024.

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

This paper cites Efficient evolutionary search over chemical space with large language models.

Self-Improving Language Models with Bidirectional Evolutionary Search Efficient evolutionary search over chemical space with large language models

Reference 39

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source=pdf_text observed=2026-06-29T12:57:28.931392Z digest=sha256:a080342f9f855ccb09523f2511756a306aed1e34f06fccdc1587941ab8918b84

Observation 61aed953-b580-4dae-9e67-1785331c9619 · outbound

This paper cites an unresolved cited work.

Self-Improving Language Models with Bidirectional Evolutionary Search Unresolved cited work

Reference 40

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source=pdf_text observed=2026-06-29T12:57:28.931392Z digest=sha256:b1be0415ee08c84117b6e5bf04050bc6bfe13c3cafb20b599f09258855887943

Observation eb9a0798-38fe-4618-8ea9-c367fe5f3db0 · outbound

This paper cites Thetaevolve: Test-time learning on open problems,.

Self-Improving Language Models with Bidirectional Evolutionary Search Thetaevolve: Test-time learning on open problems,

Reference 41

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source=pdf_text observed=2026-06-29T12:57:28.931392Z digest=sha256:5309779d7f77c60fb4b1b09ec6b0b2d9004d5081b516e9c8e06f6b8497e5b7f4

Observation fcf2e365-f14e-4bc0-aafc-b24a979c57b5 · outbound

This paper cites ThetaEvolve: Test-time Learning on Open Problems.

Self-Improving Language Models with Bidirectional Evolutionary Search ThetaEvolve: Test-time Learning on Open Problems

Reference 42

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Source-reported events for the cited work

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source=pdf_text observed=2026-06-29T12:57:28.931392Z digest=sha256:f9d592e72c3c492d6e698282055b28e58536a4e425ce6118de9842927c0fce46

Observation 61d02a53-e695-47de-ab01-c9552400ee09 · outbound

This paper cites Chi, Quoc V Le, and Denny Zhou.

Self-Improving Language Models with Bidirectional Evolutionary Search Chi, Quoc V Le, and Denny Zhou

Reference 43

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source=pdf_text observed=2026-06-29T12:57:28.931392Z digest=sha256:426be5f7b313bf9060ac2860ffb71f2f310c2f01c82273a8cf5bae4afd51cb5a

Observation ba629882-4d4a-4428-b6c9-9d8bcf72f517 · outbound

This paper cites Inference scaling laws: An empirical analysis of compute-optimal inference for LLM problem-solving.

Self-Improving Language Models with Bidirectional Evolutionary Search Inference scaling laws: An empirical analysis of compute-optimal inference for LLM problem-solving

Reference 44

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source=pdf_text observed=2026-06-29T12:57:28.931392Z digest=sha256:0ecaedfd870b5ccd0f5c578d7d2834e294d2224751970585af62a5fa87783622

Observation b3c25cdb-d6e4-4d98-8cb8-f5502d485792 · outbound

This paper cites Large language interpolators can learn logical reasoning: A study on knights and knaves puzzles.

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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source=pdf_text observed=2026-06-29T12:57:28.931392Z digest=sha256:8fd25ea7560ddbecc8e280279eeb24ae9911a0f80bb820ad299eaf0f91eb1e97

Observation 6939c235-d888-4915-84ca-3aa585368e50 · outbound

This paper cites Monte carlo tree search boosts reasoning via iterative preference learning.

Self-Improving Language Models with Bidirectional Evolutionary Search Monte carlo tree search boosts reasoning via iterative preference learning

Reference 46

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source=pdf_text observed=2026-06-29T12:57:28.931392Z digest=sha256:a16cf6f0721c8eecb998f50b23ed3604817593bcc5fae25aef957ac3121ec9b1

Observation 7447ba06-dd2e-47ad-a0d6-e79f39288746 · outbound

This paper cites Griffiths, Yuan Cao, and Karthik R Narasimhan.

Self-Improving Language Models with Bidirectional Evolutionary Search Griffiths, Yuan Cao, and Karthik R Narasimhan

Reference 47

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source=pdf_text observed=2026-06-29T12:57:28.931392Z digest=sha256:6295837f1f287f2cc82943c8baee3c3da701bf1c0de349ff6116712068895206

Observation fe0dbfdd-628d-4140-876a-db881326d444 · outbound

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

Self-Improving Language Models with Bidirectional Evolutionary Search DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Reference 48

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-29T12:57:28.931392Z digest=sha256:c4600faee660797659e79fe1caa712c190cb8892f4769f08c8a18125dd0ac979

Observation 40564b06-ba3d-4341-bb8e-c62e4f57a7b3 · outbound

This paper cites Self-rewarding language models.

Self-Improving Language Models with Bidirectional Evolutionary Search Self-rewarding language models

Reference 49

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source=pdf_text observed=2026-06-29T12:57:28.931392Z digest=sha256:40e0515dbd58de885f3c3c502880e99609fe7d30ca357e2579bb8f68313a360b

Observation c0ea7cb9-5bf0-4396-9f23-ebd28a3afa61 · outbound

This paper cites Does reinforcement learning really incentivize reasoning capacity in LLMs beyond the base model? InThe Thirty-ninth Annual Conference on Neural Information Processing Systems, 2026.

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

Reference 50

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source=pdf_text observed=2026-06-29T12:57:28.931392Z digest=sha256:7e250456f037ef3d9593952e8877e4697e538fc899bb8a57a885450cb51d6a57

Observation c83bf9b8-487b-4b07-9b4f-d61934493d47 · outbound

This paper cites Learning to Discover at Test Time.

Self-Improving Language Models with Bidirectional Evolutionary Search Learning to Discover at Test Time

Reference 51

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-29T12:57:28.931392Z digest=sha256:ca56a40975e44a16033c3aff61f6bbecc31fe94474b74b1dd68d461925a082c2

Observation 7eaa2d0e-50cc-466e-b0f7-ddb3d632bd1a · outbound

This paper cites Star: Bootstrapping reasoning with reasoning.

Self-Improving Language Models with Bidirectional Evolutionary Search Star: Bootstrapping reasoning with reasoning

Reference 52

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source=pdf_text observed=2026-06-29T12:57:28.931392Z digest=sha256:0eb5564a796273239e36a4e06528a5b1544982f2791be777cbc79ad94d669072

Observation 58d120dc-6af8-4f17-8383-5c928f4f4218 · outbound

This paper cites Self-taught opti- mizer (STOP): Recursively self-improving code generation.

Self-Improving Language Models with Bidirectional Evolutionary Search Self-taught opti- mizer (STOP): Recursively self-improving code generation

Reference 53

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source=pdf_text observed=2026-06-29T12:57:28.931392Z digest=sha256:60dadeb031f7f596876b13b30d77b78769c71b15bf6bc7f25333d33751435ef8

Observation bb4acca3-8ffe-4a1c-8438-432e46371afe · outbound

This paper cites ### Final Answer.

Self-Improving Language Models with Bidirectional Evolutionary Search ### Final Answer

Reference 54

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source=pdf_text observed=2026-06-29T12:57:28.931392Z digest=sha256:bc1a6f080b6960c02d5a1eaf7e9f433a27021ea2aec5310ce494548d3d3c5211

Observation 44c7170a-010e-4121-ab98-15efb7f35830 · outbound

This paper cites an unresolved cited work.

Self-Improving Language Models with Bidirectional Evolutionary Search Unresolved cited work

Reference 55

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source=pdf_text observed=2026-06-29T12:57:28.931392Z digest=sha256:e30fae482fbd56b98f65ba40e77af6101d7e6eecd34a22b7ff6c39e14843f617

Observation 3177069f-ddc9-48ec-8e91-e83c042f3223 · outbound

This paper cites attacks a different failure mode than what the current program already handles).

Self-Improving Language Models with Bidirectional Evolutionary Search attacks a different failure mode than what the current program already handles)

Reference 56

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source=pdf_text observed=2026-06-29T12:57:28.931392Z digest=sha256:0d3cfce16974be82f6c86b7ca567fdf1aea9defa0c09e184252a59e07015845c

Observation 54513083-4fd1-419a-bce8-021670f01fb1 · outbound

This paper cites an unresolved cited work.

Self-Improving Language Models with Bidirectional Evolutionary Search Unresolved cited work

Reference 60

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source=pdf_text observed=2026-06-29T12:57:28.931392Z digest=sha256:8c24e67f1f7d09215e0422653db8b40f6c9d474157a25de323be266c1b25a68d

Observation 6856d79c-6f04-4dc4-a19e-f99012ffbcba · outbound

This paper cites an unresolved cited work.

Self-Improving Language Models with Bidirectional Evolutionary Search Unresolved cited work

Reference 61

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source=pdf_text observed=2026-06-29T12:57:28.931392Z digest=sha256:ba2d8fdb3901f17ec937d0006ba6fd50082c08db2ab9787427ff010b21734493

Observation 0409ab07-a74c-4127-9e1d-89931380bb30 · outbound

This paper cites an unresolved cited work.

Self-Improving Language Models with Bidirectional Evolutionary Search Unresolved cited work

Reference 62

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source=pdf_text observed=2026-06-29T12:57:28.931392Z digest=sha256:4a5debeff78335311e8af8ae3193b8e5c4e7628cd5054d3202fa002a880cd031

Observation 72010fc2-5c73-4a84-93d6-28a790f4a7ef · outbound

This paper cites Do not iterate on the current implementation.

Self-Improving Language Models with Bidirectional Evolutionary Search Do not iterate on the current implementation

Reference 63

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source=pdf_text observed=2026-06-29T12:57:28.931392Z digest=sha256:30bcccc9d80933ad4304a374faa60bf3f399142f1f8abe3667d7ab829944b8c9

Observation 53801b2c-1c4d-4f5f-b1ce-de2b84e58dd7 · outbound

This paper cites Aim to combine the best parts of both code implementations that improves the score.

Self-Improving Language Models with Bidirectional Evolutionary Search Aim to combine the best parts of both code implementations that improves the score

Reference 67

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source=pdf_text observed=2026-06-29T12:57:28.931392Z digest=sha256:12eadb20b81a7e9ca53a736b65b51f91c23963bd8f0bf357125c4e20a124791a

Observation d72663c3-8255-485e-8ffb-ffb8109b12d8 · outbound

This paper cites an unresolved cited work.

Self-Improving Language Models with Bidirectional Evolutionary Search Unresolved cited work

Reference 70

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source=pdf_text observed=2026-06-29T12:57:28.931392Z digest=sha256:1f6364acfd3df173e284cf0589810dd9a73ce6ef9d576ec1bddf02d542bddda2

Observation d86b256a-1fab-4ab8-bfa1-5bb8f5a28332 · outbound

This paper cites distant relative.

Self-Improving Language Models with Bidirectional Evolutionary Search distant relative

Reference 71

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source=pdf_text observed=2026-06-29T12:57:28.931392Z digest=sha256:c4c589fbbd326e70ddd5a43de167dc4fa076a8ac77240580c55c6897561df666

Observation 889aca32-d230-4d42-b230-6477454d3cf6 · outbound

This paper cites Be concrete; name it.

Self-Improving Language Models with Bidirectional Evolutionary Search Be concrete; name it

Reference 72

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source=pdf_text observed=2026-06-29T12:57:28.931392Z digest=sha256:8c46dd4521c395397ea5e2a0fe48e5776ea1b2f84436284d9a063b055a9d90fe

Observation 9e045169-fd9a-4979-a389-b361747d60d5 · outbound

This paper cites Keep the rest of the current program intact.

Self-Improving Language Models with Bidirectional Evolutionary Search Keep the rest of the current program intact

Reference 73

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source=pdf_text observed=2026-06-29T12:57:28.931392Z digest=sha256:8480e6d291bcca8b6e5dd2f6c55817620bd7e48d484ce817c2f5c4d507b7694f

Observation 29814202-e55a-40d3-99cd-adb6873a2446 · outbound

This paper cites Argue in the <DESCRIPTION>: which trick, why this one, and why grafting it onto the current skeleton is more promising than full crossover.

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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source=pdf_text observed=2026-06-29T12:57:28.931392Z digest=sha256:1a059254912012d818b27a66a9e69f59c049eeb1c5f380118602f38c4b574ee7

Observation b1f63601-46e2-48e7-8230-0a2fdc49fd81 · outbound

This paper cites an unresolved cited work.

Self-Improving Language Models with Bidirectional Evolutionary Search Unresolved cited work

Reference 75

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source=pdf_text observed=2026-06-29T12:57:28.931392Z digest=sha256:5302363f89e6ccde94f15f134af61ffc73ff6d079c06c52a6dd544d9239c8510

Observation 2fb38908-99c2-45a7-b9d7-b8746e89afd2 · outbound

This paper cites an unresolved cited work.

Self-Improving Language Models with Bidirectional Evolutionary Search Unresolved cited work

Reference 76

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source=pdf_text observed=2026-06-29T12:57:28.931392Z digest=sha256:6dd2554d22661eb200c40af99443b4b6645755bcf99a69f401b6397050b0140a

Observation e07b4f84-c871-473f-90cb-bc8a4620cf04 · outbound

This paper cites an unresolved cited work.

Self-Improving Language Models with Bidirectional Evolutionary Search Unresolved cited work

Reference 77

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source=pdf_text observed=2026-06-29T12:57:28.931392Z digest=sha256:1d2e7277bf7b79bc58ed30822c479751fd60d9a82e39a2cc22af972ac539828b

Observation 0309eed7-5e58-4b09-b622-fadd1112b072 · outbound

This paper cites G.1 Circle Packing (Square) The best program for the n=26 unit-square instance is a hybrid global optimiser.

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

Reference 78

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source=pdf_text observed=2026-06-29T12:57:28.931392Z digest=sha256:bf5e59c6f382a40eb696b90d456cef6d9ac4a25dc015d6fff1896672a23c269d

Pith citing papers

Observation 78298233-2985-415e-a37a-9f4e5254b1ca · inbound

AgentStream: How Well Do Self-Evolving LLM Agents Perform Under Streaming Tasks? cites this paper.

AgentStream: How Well Do Self-Evolving LLM Agents Perform Under Streaming Tasks? Self-Improving Language Models with Bidirectional Evolutionary Search

Reference 65

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source=pdf_text observed=2026-08-04T01:12:36.464200Z digest=sha256:9237a85ee532441ceb20e4fa33eb92a6184311f78bc9649555aaf5493db98849