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Paper Citation Record · LEDGER

Autonomous Repair for Multi-Agent Systems via Monte-Carlo Tree Search

As of 8 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 0 inbound Pith citation observations for arXiv:2607.29055.

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

pith.paper-citation-record.v1
2607.29055 v1

Coverage vector

measured 55 of 55 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T14:33:34.883855Z

measured 55 of 55 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

55 of 55 outbound references displayed

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  • verified fuzzy0
  • unresolved55
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 11c9ddbf-a2cc-4ec9-b55e-b85560d13f65 · outbound

This paper cites Proceedings of Machine Learning Research , volume=.

Autonomous Repair for Multi-Agent Systems via Monte-Carlo Tree Search Proceedings of Machine Learning Research , volume=

Reference 1

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no resolver link, observed 2026-08-03T14:33:30.789858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T14:33:30.789858Z digest=sha256:5bf276438cf3265179cc75014244ac60348c13538912ad301b500e6f38f0c88e

Observation 43e38a99-0ef3-401c-8677-6a7e5af208a7 · outbound

This paper cites The Thirty-ninth Annual Conference on Neural Information Processing Systems Datasets and Benchmarks Track , year=.

Autonomous Repair for Multi-Agent Systems via Monte-Carlo Tree Search The Thirty-ninth Annual Conference on Neural Information Processing Systems Datasets and Benchmarks Track , year=

Reference 2

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source=arxiv_source observed=2026-08-03T14:33:30.867602Z digest=sha256:15c0771895dcc4ac3060dd104550bdde20bf0f1efcb7d0058cad052a57c46648

Observation 42b6501d-c301-4e0d-8096-cad522d4f111 · outbound

This paper cites Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems , pages=.

Autonomous Repair for Multi-Agent Systems via Monte-Carlo Tree Search Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems , pages=

Reference 3

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source=arxiv_source observed=2026-08-03T14:33:30.951958Z digest=sha256:c9a7219ed543602ec7cdac19f0c77e89375610bfd96a99c946960bfe60024d11

Observation dc259b55-8184-4937-a5e6-6b5c1086fb15 · outbound

This paper cites Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=.

Autonomous Repair for Multi-Agent Systems via Monte-Carlo Tree Search Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=

Reference 4

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no resolver link, observed 2026-08-03T14:33:31.120641Z

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source=arxiv_source observed=2026-08-03T14:33:31.120641Z digest=sha256:1e4b92437f6b355a75d26ea5d23652660ed1b0262faedc6196d911dd6f7d98cb

Observation c71494f6-f143-43f8-80ad-f5b9b04c3eb5 · outbound

This paper cites HyperAgent: Generalist Software Engineering Agents to Solve Coding Tasks at Scale.

Autonomous Repair for Multi-Agent Systems via Monte-Carlo Tree Search HyperAgent: Generalist Software Engineering Agents to Solve Coding Tasks at Scale

Reference 5

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source=arxiv_source observed=2026-08-03T14:33:31.168939Z digest=sha256:ba6cb2051c0afe8573c74e84959db476d0ee61aa68550e46a700f69c4dec22e0

Observation aebab7a3-96b2-438d-b2d1-5d49184ff029 · outbound

This paper cites The Twelfth International Conference on Learning Representations , year=.

Autonomous Repair for Multi-Agent Systems via Monte-Carlo Tree Search The Twelfth International Conference on Learning Representations , year=

Reference 6

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source=arxiv_source observed=2026-08-03T14:33:31.210699Z digest=sha256:3e3a1c810ec98fbd524e87e63d3caf275ff25ec25059a6f24e23673e09d7beda

Observation e125de37-4b87-453a-9be4-61e2c8c97c97 · outbound

This paper cites First Conference on Language Modeling , year=.

Autonomous Repair for Multi-Agent Systems via Monte-Carlo Tree Search First Conference on Language Modeling , year=

Reference 7

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source=arxiv_source observed=2026-08-03T14:33:31.293244Z digest=sha256:f0729e32a7fd58f8b1c5f5cf51c66ce3dd7880d88e64de527d8863c1219569bb

Observation 69065ff0-6959-4ecc-803d-126359979b66 · outbound

This paper cites The Twelfth International Conference on Learning Representations , year=.

Autonomous Repair for Multi-Agent Systems via Monte-Carlo Tree Search The Twelfth International Conference on Learning Representations , year=

Reference 8

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source=arxiv_source observed=2026-08-03T14:33:31.364964Z digest=sha256:f156a950cb1323759c9aebcb4f94b81e29eb3fe447c9c4f45789cdbf78a00a21

Observation 81753f79-807a-475e-b62c-305d5ab9e9cd · outbound

This paper cites Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing , pages=.

Autonomous Repair for Multi-Agent Systems via Monte-Carlo Tree Search Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing , pages=

Reference 9

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source=arxiv_source observed=2026-08-03T14:33:31.464195Z digest=sha256:eff0392dd2795cec9ce3fea500c86b899fd0f89cbd24ca4361c38fdea848fd66

Observation 01dae027-8094-430a-9ba1-92b77e8e3b6e · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Autonomous Repair for Multi-Agent Systems via Monte-Carlo Tree Search Advances in Neural Information Processing Systems , volume=

Reference 10

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source=arxiv_source observed=2026-08-03T14:33:31.583087Z digest=sha256:0a0b5281d80d086cb23c1295dc466fa5e8ce3c98637ff312ec1cc9c211ada060

Observation 956f61fb-1487-436e-92e6-a1ca8854a52d · outbound

This paper cites SWE-Search: Enhancing Software Agents with Monte Carlo Tree Search and Iterative Refinement.

Autonomous Repair for Multi-Agent Systems via Monte-Carlo Tree Search SWE-Search: Enhancing Software Agents with Monte Carlo Tree Search and Iterative Refinement

Reference 11

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source=arxiv_source observed=2026-08-03T14:33:31.825242Z digest=sha256:2ea50b7b048ceeed18e3fdb8cf717a4383be31d347688afb8ee944158a1fbad8

Observation c43f2d54-42b8-4fdb-8006-e9163d3bdddc · outbound

This paper cites Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models.

Autonomous Repair for Multi-Agent Systems via Monte-Carlo Tree Search Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models

Reference 12

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source=arxiv_source observed=2026-08-03T14:33:31.992532Z digest=sha256:e4cf6a7aed080db85bb0b62bc8b7873185f30746eb401b030343f43f50dcb54f

Observation 1f32ebd1-08a6-40e8-b1b7-ed0d5b704d49 · outbound

This paper cites Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing , pages=.

Autonomous Repair for Multi-Agent Systems via Monte-Carlo Tree Search Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing , pages=

Reference 13

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source=arxiv_source observed=2026-08-03T14:33:32.107276Z digest=sha256:a80ec2d4f0e4fd7860f6f9d2502c0938c5ed673ec29606b0508d90c407318323

Observation c4400b71-2c0e-49cf-b5d4-87b5f39703e5 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Autonomous Repair for Multi-Agent Systems via Monte-Carlo Tree Search Advances in Neural Information Processing Systems , volume=

Reference 14

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no resolver link, observed 2026-08-03T14:33:32.175864Z

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source=arxiv_source observed=2026-08-03T14:33:32.175864Z digest=sha256:62e9b3ea433615c488bc080e806874514e68f11dbdeb0f7b6f205467e831b99d

Observation 405454f5-77af-4af4-a1df-6e60d424f261 · outbound

This paper cites Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing , pages=.

Autonomous Repair for Multi-Agent Systems via Monte-Carlo Tree Search Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing , pages=

Reference 15

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source=arxiv_source observed=2026-08-03T14:33:32.331981Z digest=sha256:bf4c893b573543edd1fde5eda3ab8fdcfadd8102269335cd25bfad6bb9511bff

Observation 0842648c-4395-40d8-943d-fc6f9defd773 · outbound

This paper cites The Eleventh International Conference on Learning Representations , year=.

Autonomous Repair for Multi-Agent Systems via Monte-Carlo Tree Search The Eleventh International Conference on Learning Representations , year=

Reference 16

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no resolver link, observed 2026-08-03T14:33:32.398791Z

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source=arxiv_source observed=2026-08-03T14:33:32.398791Z digest=sha256:74538278af48d7f65a074c9cf8dc37bed8503c8909fdcd01bd3df8f5691eff63

Observation 1aee5da0-51dc-4aaf-aca9-ffb85115defd · outbound

This paper cites International Conference on Machine Learning , pages=.

Autonomous Repair for Multi-Agent Systems via Monte-Carlo Tree Search International Conference on Machine Learning , pages=

Reference 17

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no resolver link, observed 2026-08-03T14:33:32.479235Z

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source=arxiv_source observed=2026-08-03T14:33:32.479235Z digest=sha256:c0e692fda697fc53f759c586827015975ff3b285bc04fafd90304dc54406c122

Observation 377276be-7d72-4be6-be00-e604fa582506 · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume=.

Autonomous Repair for Multi-Agent Systems via Monte-Carlo Tree Search Proceedings of the AAAI Conference on Artificial Intelligence , volume=

Reference 18

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source=arxiv_source observed=2026-08-03T14:33:32.542517Z digest=sha256:107bc23d31d6996b5304312622d46603cb71b48ea092bb204ef47695307e43af

Observation 252f8947-8aa9-4822-b0ac-a39f3f65819a · outbound

This paper cites arXiv preprint arXiv:2407.01476 , year=.

Autonomous Repair for Multi-Agent Systems via Monte-Carlo Tree Search arXiv preprint arXiv:2407.01476 , year=

Reference 19

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no resolver link, observed 2026-08-03T14:33:32.615538Z

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source=arxiv_source observed=2026-08-03T14:33:32.615538Z digest=sha256:915ccd6e0bccb5cb6044922edcfb236252caed99c1ef3ef2d7c6068bbe6a0c05

Observation ebe62634-4870-4395-85c1-ae49b848c377 · outbound

This paper cites Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing , pages=.

Autonomous Repair for Multi-Agent Systems via Monte-Carlo Tree Search Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing , pages=

Reference 20

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no resolver link, observed 2026-08-03T14:33:32.661712Z

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Observation 4b16faba-05c8-4cb5-948e-36b43193411b · outbound

This paper cites The Twelfth International Conference on Learning Representations , year=.

Autonomous Repair for Multi-Agent Systems via Monte-Carlo Tree Search The Twelfth International Conference on Learning Representations , year=

Reference 21

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no resolver link, observed 2026-08-03T14:33:32.720992Z

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source=arxiv_source observed=2026-08-03T14:33:32.720992Z digest=sha256:d709847af8cf058d335f835fd77606076924805540dab59c8b888cd0a754facd

Observation 528e6f1d-e5f8-47e3-86a0-bf2eecd0400a · outbound

This paper cites International conference on computers and games , pages=.

Autonomous Repair for Multi-Agent Systems via Monte-Carlo Tree Search International conference on computers and games , pages=

Reference 22

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no resolver link, observed 2026-08-03T14:33:32.777797Z

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source=arxiv_source observed=2026-08-03T14:33:32.777797Z digest=sha256:5a35fb486b4845084bbd93a2b7e07c37b7f05a7a64a12a42303352eca5b017a3

Observation 3e3eb5e8-307d-498a-a58e-55caa3ccbc0a · outbound

This paper cites 2026 , url =.

Autonomous Repair for Multi-Agent Systems via Monte-Carlo Tree Search 2026 , url =

Reference 23

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source=arxiv_source observed=2026-08-03T14:33:32.887695Z digest=sha256:5e687bec278da469c57fabf5e7a7f5850dc2610d8522c116663c26399ef5b154

Observation 691b36d8-cb90-46ec-98e9-c6d009b8db27 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Autonomous Repair for Multi-Agent Systems via Monte-Carlo Tree Search Advances in Neural Information Processing Systems , volume=

Reference 24

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source=arxiv_source observed=2026-08-03T14:33:32.967913Z digest=sha256:a652fc361400897c24164c73aa8db3bf4cde8502384aaf04b305ebe3e1391d20

Observation 7c4b9554-7b2f-408c-a0cc-707a9f3131e4 · outbound

This paper cites 2023 , eprint=.

Autonomous Repair for Multi-Agent Systems via Monte-Carlo Tree Search 2023 , eprint=

Reference 25

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source=arxiv_source observed=2026-08-03T14:33:33.005563Z digest=sha256:f27f4b13c0e372fed38b7c3123bf378608b4f2a654bb44401d0d591b312d08dc

Observation 02b62df6-fe21-44d4-98e2-c74c6ed4490d · outbound

This paper cites 2026 , note =.

Autonomous Repair for Multi-Agent Systems via Monte-Carlo Tree Search 2026 , note =

Reference 26

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source=arxiv_source observed=2026-08-03T14:33:33.139395Z digest=sha256:804b188f2d2037cb42e1d2d26b972daf45101d214b737cc379a70bca343e0bc1

Observation b9a06352-b218-4b9c-97ee-3535aed84e53 · outbound

This paper cites GitHub repository , howpublished =.

Autonomous Repair for Multi-Agent Systems via Monte-Carlo Tree Search GitHub repository , howpublished =

Reference 27

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no resolver link, observed 2026-08-03T14:33:33.226481Z

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source=arxiv_source observed=2026-08-03T14:33:33.226481Z digest=sha256:5a0f496394cad28a713fa8a2c16ae750c2db493b5cbfc4cb73cc738e24fdde64

Observation 30e9feb6-bff2-4298-a166-08d676499cc2 · outbound

This paper cites WebArena: A Realistic Web Environment for Building Autonomous Agents.

Autonomous Repair for Multi-Agent Systems via Monte-Carlo Tree Search WebArena: A Realistic Web Environment for Building Autonomous Agents

Reference 28

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no resolver link, observed 2026-08-03T14:33:33.314783Z

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source=arxiv_source observed=2026-08-03T14:33:33.314783Z digest=sha256:8eadb2abc1fe0076ecbf8ee7da5d6f546e7d7a48b4f1185b6864c08b5bd85419

Observation ab73741f-9bcb-4789-bac2-1b220382187d · outbound

This paper cites Magentic-One: A Generalist Multi-Agent System for Solving Complex Tasks.

Autonomous Repair for Multi-Agent Systems via Monte-Carlo Tree Search Magentic-One: A Generalist Multi-Agent System for Solving Complex Tasks

Reference 29

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no resolver link, observed 2026-08-03T14:33:33.416424Z

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source=arxiv_source observed=2026-08-03T14:33:33.416424Z digest=sha256:c9afebee2b1af1f84f6931c799d3c1a72a12a54223eeb24d5ce7c8e2e59c1a78

Observation d5054924-5974-4184-9993-e91f9666c27e · outbound

This paper cites AppWorld: A Controllable World of Apps and People for Benchmarking Interactive Coding Agents.

Autonomous Repair for Multi-Agent Systems via Monte-Carlo Tree Search AppWorld: A Controllable World of Apps and People for Benchmarking Interactive Coding Agents

Reference 30

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source=arxiv_source observed=2026-08-03T14:33:33.490173Z digest=sha256:f498138347fa0603fe82c8341417785cc4f2bcaf976f244ed84eb75146d6bcad

Observation ea9551af-0c0a-41e0-9759-2d09e2ded520 · outbound

This paper cites GitHub repository , howpublished =.

Autonomous Repair for Multi-Agent Systems via Monte-Carlo Tree Search GitHub repository , howpublished =

Reference 31

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no resolver link, observed 2026-08-03T14:33:33.531289Z

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source=arxiv_source observed=2026-08-03T14:33:33.531289Z digest=sha256:1733a21d859d719b0528fb64c7aa684d401d98f5cdab5f337d011c9b807741df

Observation 8955fe92-067b-4388-a978-032978f3df68 · outbound

This paper cites The Benefits of a Concise Chain of Thought on Problem-Solving in Large Language Models , url=.

Autonomous Repair for Multi-Agent Systems via Monte-Carlo Tree Search The Benefits of a Concise Chain of Thought on Problem-Solving in Large Language Models , url=

Reference 32

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no resolver link, observed 2026-08-03T14:33:33.561952Z

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source=arxiv_source observed=2026-08-03T14:33:33.561952Z digest=sha256:279a54fc5a78675196c849f5d56aed6ec23a260103ac222a04f4accc97c921fe

Observation 7df989e8-b447-43c8-8757-3d0a71d5e863 · outbound

This paper cites Vicinagearth , volume=.

Autonomous Repair for Multi-Agent Systems via Monte-Carlo Tree Search Vicinagearth , volume=

Reference 33

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source=arxiv_source observed=2026-08-03T14:33:33.625612Z digest=sha256:f34ac49bfae3a02b151784d6919e92a1e4412aae5ff5e59c719f4942da2318c0

Observation d3867f54-df4e-46c7-9b88-2c2e4e5ba7da · outbound

This paper cites Large Language Model Agent: A Survey on Methodology, Applications and Challenges.

Autonomous Repair for Multi-Agent Systems via Monte-Carlo Tree Search Large Language Model Agent: A Survey on Methodology, Applications and Challenges

Reference 34

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source=arxiv_source observed=2026-08-03T14:33:33.690998Z digest=sha256:81f3f45c3d6ef8aef928f1c0b27bc2171a1d42e5a84e7b837f7fba360aa1198a

Observation 25377145-e2ad-43a5-8726-2032958f316b · outbound

This paper cites Advances in neural information processing systems , volume=.

Autonomous Repair for Multi-Agent Systems via Monte-Carlo Tree Search Advances in neural information processing systems , volume=

Reference 35

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no resolver link, observed 2026-08-03T14:33:33.748308Z

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source=arxiv_source observed=2026-08-03T14:33:33.748308Z digest=sha256:c41875807e3c35ba4f81e9ead6a24db6e2bdaf3b4a441737daae02ac9a547850

Observation 92f6c7b1-09f6-46d0-815a-b0ca6f073b64 · outbound

This paper cites International Conference on Learning Representations (ICLR) , year=.

Autonomous Repair for Multi-Agent Systems via Monte-Carlo Tree Search International Conference on Learning Representations (ICLR) , year=

Reference 36

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source=arxiv_source observed=2026-08-03T14:33:33.779352Z digest=sha256:a999c12060e7b0de7e51360ed18fcdc6f82818011ec34e8ae355b4d4de78e6bc

Observation eac415fa-debe-48d0-bac9-8fde3dab616e · outbound

This paper cites Proceedings of the 29th Symposium on Operating Systems Principles , pages =.

Autonomous Repair for Multi-Agent Systems via Monte-Carlo Tree Search Proceedings of the 29th Symposium on Operating Systems Principles , pages =

Reference 37

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source=arxiv_source observed=2026-08-03T14:33:33.838597Z digest=sha256:c3cc488758cb0492f9223fb9f57a0e2077598bab68215a897466f263993959d1

Observation dd292500-d56c-4749-a2a6-40b1abf5ca93 · outbound

This paper cites The First Conference on Language Modeling , year =.

Autonomous Repair for Multi-Agent Systems via Monte-Carlo Tree Search The First Conference on Language Modeling , year =

Reference 38

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no resolver link, observed 2026-08-03T14:33:33.906654Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T14:33:33.906654Z digest=sha256:4169d58a1091a7a45d4801a1b5e3e354d340637ac46d77e11b6cb1714112492c

Observation 9692be62-f526-45ea-a34c-5dc4b850c603 · outbound

This paper cites Advances in Neural Information Processing Systems , volume =.

Autonomous Repair for Multi-Agent Systems via Monte-Carlo Tree Search Advances in Neural Information Processing Systems , volume =

Reference 39

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source=arxiv_source observed=2026-08-03T14:33:33.969777Z digest=sha256:bb0a15bd7bae068fd7396b80b3b3cb49b6ba2f36d013153fde177798259f7991

Observation 412a4ab3-e674-441b-823c-09c12217f0c1 · outbound

This paper cites International Conference on Learning Representations , year =.

Autonomous Repair for Multi-Agent Systems via Monte-Carlo Tree Search International Conference on Learning Representations , year =

Reference 40

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source=arxiv_source observed=2026-08-03T14:33:34.025456Z digest=sha256:7336ba9f6675bd38d8250253d0ac571c2acb4c64613a549cbf5823358e916efe

Observation 2b58b39f-7425-4369-ab08-d603d54b9151 · outbound

This paper cites Advances in Neural Information Processing Systems , volume =.

Autonomous Repair for Multi-Agent Systems via Monte-Carlo Tree Search Advances in Neural Information Processing Systems , volume =

Reference 41

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no resolver link, observed 2026-08-03T14:33:34.086433Z

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source=arxiv_source observed=2026-08-03T14:33:34.086433Z digest=sha256:2979ed261390bfc9947c93f14f898ff83bd6cd71befb39dc61b3536685ab71da

Observation b33f6c32-6915-4167-b27c-26e8ab2a8c3d · outbound

This paper cites 2026 , howpublished =.

Autonomous Repair for Multi-Agent Systems via Monte-Carlo Tree Search 2026 , howpublished =

Reference 42

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source=arxiv_source observed=2026-08-03T14:33:34.144032Z digest=sha256:cc2bd20c3e851a60fccb968508a54a3fab9d7fa452b6e1a112dab79bca02fa5b

Observation 2bc0aed9-d149-4e3f-a573-3ec958566353 · outbound

This paper cites 2026 , howpublished =.

Autonomous Repair for Multi-Agent Systems via Monte-Carlo Tree Search 2026 , howpublished =

Reference 43

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source=arxiv_source observed=2026-08-03T14:33:34.206560Z digest=sha256:5514fcba005f84951c537bc376fa3e6f5faf9fa5e378210b1f3d86b7de7505ae

Observation 9f38a223-b4e6-4068-88a6-a46e70929541 · outbound

This paper cites 2024 , howpublished =.

Autonomous Repair for Multi-Agent Systems via Monte-Carlo Tree Search 2024 , howpublished =

Reference 44

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no resolver link, observed 2026-08-03T14:33:34.287386Z

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source=arxiv_source observed=2026-08-03T14:33:34.287386Z digest=sha256:573e8631659163f3f7a3208bc3e23e8c35e1adce0787a0c290691b50800a0dac

Observation 9ad29dc9-a14e-4b02-8426-e18d13e95eb0 · outbound

This paper cites DoVer: Intervention-Driven Auto Debugging for.

Autonomous Repair for Multi-Agent Systems via Monte-Carlo Tree Search DoVer: Intervention-Driven Auto Debugging for

Reference 45

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source=arxiv_source observed=2026-08-03T14:33:34.352886Z digest=sha256:d8a21bbc108e1172998240b0a2947d172dc6934b96f28492f4442e3e28d46166

Observation 2c790dbe-b75e-4cb0-b84e-daecc56c04a9 · outbound

This paper cites WebPilot: A Versatile and Autonomous Multi-Agent System for Web Task Execution with Strategic Exploration.

Autonomous Repair for Multi-Agent Systems via Monte-Carlo Tree Search WebPilot: A Versatile and Autonomous Multi-Agent System for Web Task Execution with Strategic Exploration

Reference 46

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source=arxiv_source observed=2026-08-03T14:33:34.451130Z digest=sha256:ac6002753f20044dc78d60876d2076211675cd1c369b6fc02fb0caa3d73336b7

Observation 109da708-7239-4b40-b3a8-e5a54826ad3f · outbound

This paper cites Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics , year=.

Autonomous Repair for Multi-Agent Systems via Monte-Carlo Tree Search Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics , year=

Reference 47

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source=arxiv_source observed=2026-08-03T14:33:34.521447Z digest=sha256:330d3d558f9cd816e05ffff6a6a1f890f0a7a7330a5ebdc8990f1e5b3d425016

Observation 62a032ac-3f7b-4219-842f-215dc73102be · outbound

This paper cites International Conference on Learning Representations , year=.

Autonomous Repair for Multi-Agent Systems via Monte-Carlo Tree Search International Conference on Learning Representations , year=

Reference 48

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source=arxiv_source observed=2026-08-03T14:33:34.578745Z digest=sha256:2054ef06d52750c492334090d04136c78efedbeee839c9432d76cf0616a2dd82

Observation 0c2d9233-5544-4e4b-883e-4c3a9faa2ff2 · outbound

This paper cites AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation.

Autonomous Repair for Multi-Agent Systems via Monte-Carlo Tree Search AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation

Reference 49

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source=arxiv_source observed=2026-08-03T14:33:34.710031Z digest=sha256:a09345ee4008d1409f32c623ea8a152b8050435c0d3018c33df2736cf578f2db

Observation 48fda73e-45b7-4094-8819-7bcd2dd84ca1 · outbound

This paper cites The Thirteenth International Conference on Learning Representations (ICLR) , year=.

Autonomous Repair for Multi-Agent Systems via Monte-Carlo Tree Search The Thirteenth International Conference on Learning Representations (ICLR) , year=

Reference 50

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source=arxiv_source observed=2026-08-03T14:33:34.749610Z digest=sha256:f8c43a0853102f056dd8e900f332202b6e1729f1dead833aa34cdb221f8878a3

Observation 247bc503-0193-4683-b29e-e1dcf798b5f5 · outbound

This paper cites AgentForesight: Online Auditing for Early Failure Prediction in Multi-Agent Systems.

Autonomous Repair for Multi-Agent Systems via Monte-Carlo Tree Search AgentForesight: Online Auditing for Early Failure Prediction in Multi-Agent Systems

Reference 51

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source=arxiv_source observed=2026-08-03T14:33:34.760536Z digest=sha256:9c2d1a3ba4ba1012a80f20420f3d0e5efdf98de83dbfc083d6f06e51a4d2a104

Observation 7fe54423-816d-4452-82d3-5aae33d0cc9e · outbound

This paper cites Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=.

Autonomous Repair for Multi-Agent Systems via Monte-Carlo Tree Search Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=

Reference 52

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source=arxiv_source observed=2026-08-03T14:33:34.800613Z digest=sha256:c087768138ce7cb560513f523bd50efdaf9947ff3a95287f7b2cccabd35992c7

Observation cb1ed7c8-8cdf-4565-87e7-fe260a09e29b · outbound

This paper cites International Conference on Learning Representations , volume=.

Autonomous Repair for Multi-Agent Systems via Monte-Carlo Tree Search International Conference on Learning Representations , volume=

Reference 53

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no resolver link, observed 2026-08-03T14:33:34.823444Z

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source=arxiv_source observed=2026-08-03T14:33:34.823444Z digest=sha256:7aa30216c085aae7fe4a1a237e5a9e90f3cf2c7a6e93ce2f0c1440e1c9e402bd

Observation 5c023433-c493-49ac-855b-9054094fc26f · outbound

This paper cites Advances in neural information processing systems , volume=.

Autonomous Repair for Multi-Agent Systems via Monte-Carlo Tree Search Advances in neural information processing systems , volume=

Reference 54

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source=arxiv_source observed=2026-08-03T14:33:34.863586Z digest=sha256:cc3a7c1143d009d3b08a04a10d9b8b5a44cd25543a8c09f4a9b587d7733cf28b

Observation e116b4fa-0117-4d3d-9a02-8e9d1a83c0b2 · outbound

This paper cites Advances in neural information processing systems , volume=.

Autonomous Repair for Multi-Agent Systems via Monte-Carlo Tree Search Advances in neural information processing systems , volume=

Reference 55

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source=arxiv_source observed=2026-08-03T14:33:34.883855Z digest=sha256:a8e9b46169bfa9388b000894598abd55de7c109c5efd9d2d6c282e26d9e7a739

Pith citing papers

No inbound Pith citation observations are available.