Do Modules Stay in Their Lane? Role Drift in Compound LLM Systems | Paper Citation Record

Observation f3f5ab54-886a-4dd7-9087-d351521a358f · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Do Modules Stay in Their Lane? Role Drift in Compound LLM Systems DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 1

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Observation 12f45190-ee13-4e68-be97-7871fb07c34c · outbound

This paper cites Tulu 3: Pushing Frontiers in Open Language Model Post-Training.

Do Modules Stay in Their Lane? Role Drift in Compound LLM Systems Tulu 3: Pushing Frontiers in Open Language Model Post-Training

Reference 2

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Observation 567d3d60-41d9-42e3-bfd9-ca7c4d6303fc · outbound

This paper cites 2022 , doi=.

Do Modules Stay in Their Lane? Role Drift in Compound LLM Systems 2022 , doi=

Reference 3

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Observation 6ab84b70-1828-4c90-8a8c-16c1e5a57b9a · outbound

This paper cites A General Language Assistant as a Laboratory for Alignment.

Do Modules Stay in Their Lane? Role Drift in Compound LLM Systems A General Language Assistant as a Laboratory for Alignment

Reference 4

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Observation 11d4c5ec-c1ce-4b12-afc9-d8ae18453d3b · outbound

This paper cites Nature human behaviour , volume=.

Do Modules Stay in Their Lane? Role Drift in Compound LLM Systems Nature human behaviour , volume=

Reference 5

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Observation e07c777a-8093-457f-944b-4d08a356e593 · outbound

This paper cites Constitutional AI: Harmlessness from AI Feedback.

Do Modules Stay in Their Lane? Role Drift in Compound LLM Systems Constitutional AI: Harmlessness from AI Feedback

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-02T08:17:22.641299Z

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Observation 2006f101-8fd0-46dc-831d-84a4f25ff9d9 · outbound

This paper cites Breaking Neural Network Scaling Laws with Modularity.

Do Modules Stay in Their Lane? Role Drift in Compound LLM Systems Breaking Neural Network Scaling Laws with Modularity

Reference 7

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Observation 9f53f4a4-45e6-40ad-ba7f-f22b17adc4c6 · outbound

This paper cites Why Do Multi-Agent LLM Systems Fail?.

Do Modules Stay in Their Lane? Role Drift in Compound LLM Systems Why Do Multi-Agent LLM Systems Fail?

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-02T08:17:22.854953Z

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Observation af9f4ee6-9fa2-4361-bd97-addd14a73f41 · outbound

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

Do Modules Stay in Their Lane? Role Drift in Compound LLM Systems Advances in Neural Information Processing Systems , volume=

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-02T08:17:23.013749Z

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Observation 7961f166-f795-4164-bbb5-cdf47fdf2a91 · outbound

This paper cites Prompt Injection: Parameterization of Fixed Inputs.

Do Modules Stay in Their Lane? Role Drift in Compound LLM Systems Prompt Injection: Parameterization of Fixed Inputs

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-02T08:17:23.173995Z

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Observation 10c05fd2-fe2a-4dd3-8cfd-e88e82ad1114 · outbound

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

Do Modules Stay in Their Lane? Role Drift in Compound LLM Systems Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-02T08:17:23.320798Z

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Observation 911ca4a3-cb89-4580-8867-8957ae3a86e4 · outbound

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

Do Modules Stay in Their Lane? Role Drift in Compound LLM Systems Journal of Machine Learning Research , volume=

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-02T08:17:23.425661Z

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Observation a409c0e3-a4a8-4260-a53c-247d46e2b6d6 · outbound

This paper cites KTO: Model Alignment as Prospect Theoretic Optimization.

Do Modules Stay in Their Lane? Role Drift in Compound LLM Systems KTO: Model Alignment as Prospect Theoretic Optimization

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-02T08:17:23.545576Z

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Observation 904a9d38-fd58-432c-aada-f7ca9e3acde9 · outbound

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

Do Modules Stay in Their Lane? Role Drift in Compound LLM Systems Journal of Machine Learning Research , volume=

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-02T08:17:23.706994Z

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Observation 0222516c-af7a-4b0d-8bd5-774e6e92a09e · outbound

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

Do Modules Stay in Their Lane? Role Drift in Compound LLM Systems International Conference on Machine Learning , pages=

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-02T08:17:23.858087Z

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Observation a594a842-8016-43a9-a288-bb1bf5a011bd · outbound

This paper cites Nature Machine Intelligence , volume=.

Do Modules Stay in Their Lane? Role Drift in Compound LLM Systems Nature Machine Intelligence , volume=

Reference 16

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Observation 9b297eff-bf99-4677-8c34-a66200cda96b · outbound

This paper cites The Journal of Machine Learning Research , volume=.

Do Modules Stay in Their Lane? Role Drift in Compound LLM Systems The Journal of Machine Learning Research , volume=

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-02T08:17:24.059841Z

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Observation 4e5556ad-8d33-46f2-b540-34263f81cfba · outbound

This paper cites Proceedings of the 28th International Conference on Computational Linguistics , pages=.

Do Modules Stay in Their Lane? Role Drift in Compound LLM Systems Proceedings of the 28th International Conference on Computational Linguistics , pages=

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-02T08:17:24.108504Z

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Observation 4c8807ad-43d8-4034-8985-1d5f8b019be7 · outbound

This paper cites Risks from Learned Optimization in Advanced Machine Learning Systems.

Do Modules Stay in Their Lane? Role Drift in Compound LLM Systems Risks from Learned Optimization in Advanced Machine Learning Systems

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-02T08:17:24.184564Z

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Observation f4be7f70-6d09-4e66-ad9d-44ab01d75a47 · outbound

This paper cites Nonlinear Independent Component Analysis: Existence and Uniqueness Results , journal =.

Do Modules Stay in Their Lane? Role Drift in Compound LLM Systems Nonlinear Independent Component Analysis: Existence and Uniqueness Results , journal =

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-02T08:17:24.268235Z

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Observation aca62e53-c6fd-4182-9a7a-f2e5f0b28e1a · outbound

This paper cites Nonlinear.

Do Modules Stay in Their Lane? Role Drift in Compound LLM Systems Nonlinear

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-02T08:17:24.332554Z

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Observation 78119a05-fa8a-449e-9337-8d20679eb715 · outbound

This paper cites , title =.

Do Modules Stay in Their Lane? Role Drift in Compound LLM Systems , title =

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-02T08:17:24.477289Z

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Observation 4612e4af-06f6-48ec-952e-015a9f131066 · outbound

This paper cites , title =.

Do Modules Stay in Their Lane? Role Drift in Compound LLM Systems , title =

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-02T08:17:24.600070Z

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Observation 593cd069-4a7f-430b-a25b-22cf31752395 · outbound

This paper cites and Moazam, Hanna and Miller, Heather and Zaharia, Matei and Potts, Christopher , title =.

Do Modules Stay in Their Lane? Role Drift in Compound LLM Systems and Moazam, Hanna and Miller, Heather and Zaharia, Matei and Potts, Christopher , title =

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-02T08:17:24.733973Z

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Observation a674c9ba-f3b3-4a03-9a9b-395d5a0f3f47 · outbound

This paper cites NeurIPS , year =.

Do Modules Stay in Their Lane? Role Drift in Compound LLM Systems NeurIPS , year =

Reference 25

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Observation 0ab31f39-1536-4567-863b-3fefddcc2204 · outbound

This paper cites ICML , year =.

Do Modules Stay in Their Lane? Role Drift in Compound LLM Systems ICML , year =

Reference 26

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Observation d6cfae8c-246b-4bdc-82d3-354fa5af7b0f · outbound

This paper cites Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations , booktitle =.

Do Modules Stay in Their Lane? Role Drift in Compound LLM Systems Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations , booktitle =

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-02T08:17:24.970705Z

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Observation 0bfb7c7c-f028-4403-9515-f975e336a033 · outbound

This paper cites Proceedings of the 61st annual meeting of the association for computational linguistics (volume 1: Long papers) , pages=.

Do Modules Stay in Their Lane? Role Drift in Compound LLM Systems Proceedings of the 61st annual meeting of the association for computational linguistics (volume 1: Long papers) , pages=

Reference 28

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Observation 8a29c3a4-88a1-4e16-b87e-4066fd0934a2 · outbound

This paper cites Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics , pages=.

Do Modules Stay in Their Lane? Role Drift in Compound LLM Systems Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics , pages=

Reference 29

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Observation eacdceca-3276-4826-b01a-dab9bf7f497f · outbound

This paper cites NeurIPS , year =.

Do Modules Stay in Their Lane? Role Drift in Compound LLM Systems NeurIPS , year =

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-02T08:17:25.250017Z

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Observation 12e5e5a3-5937-4187-9bc2-3f3eb0478216 · outbound

This paper cites an unresolved cited work.

Do Modules Stay in Their Lane? Role Drift in Compound LLM Systems Unresolved cited work

Reference 31

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Observation 5a8544b8-5db9-402d-b5b4-2fc6c94a8814 · outbound

This paper cites Training language models to follow instructions with human feedback.

Do Modules Stay in Their Lane? Role Drift in Compound LLM Systems Training language models to follow instructions with human feedback

Reference 32

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Observation 32f7e0b6-64ed-438b-af0e-fe9c6e80c8c2 · outbound

This paper cites Feedback Loops With Language Models Drive In-Context Reward Hacking.

Do Modules Stay in Their Lane? Role Drift in Compound LLM Systems Feedback Loops With Language Models Drive In-Context Reward Hacking

Reference 33

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Observation 3bbeb144-4d09-461e-a7c4-b89235127996 · outbound

This paper cites Direct Preference Optimization: Your Language Model is Secretly a Reward Model.

Do Modules Stay in Their Lane? Role Drift in Compound LLM Systems Direct Preference Optimization: Your Language Model is Secretly a Reward Model

Reference 34

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Observation f00da79c-740f-4932-bd56-a299bec5b7c1 · outbound

This paper cites RAGChecker: A Fine-grained Framework for Diagnosing Retrieval-Augmented Generation.

Do Modules Stay in Their Lane? Role Drift in Compound LLM Systems RAGChecker: A Fine-grained Framework for Diagnosing Retrieval-Augmented Generation

Reference 35

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Observation 8031bdb6-b3b2-4331-95d1-6439e3066742 · outbound

This paper cites Towards Understanding Sycophancy in Language Models.

Do Modules Stay in Their Lane? Role Drift in Compound LLM Systems Towards Understanding Sycophancy in Language Models

Reference 36

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Observation 87cb05f9-ca86-4033-959d-4ae5c9f4289b · outbound

This paper cites arXiv preprint arXiv:2411.15927 , year =.

Do Modules Stay in Their Lane? Role Drift in Compound LLM Systems arXiv preprint arXiv:2411.15927 , year =

Reference 37

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Observation 2a959382-0dc7-4205-ac63-77d9dd5d70f9 · outbound

This paper cites an unresolved cited work.

Do Modules Stay in Their Lane? Role Drift in Compound LLM Systems Unresolved cited work

Reference 38

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Observation b9d82d3a-535f-425f-8fd3-486c7f062d7e · outbound

This paper cites Learning by Distilling Context.

Do Modules Stay in Their Lane? Role Drift in Compound LLM Systems Learning by Distilling Context

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-02T08:17:26.367813Z

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Observation bd525008-1d5c-4ba2-931d-22f5a0cbd43f · outbound

This paper cites Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics , pages=.

Do Modules Stay in Their Lane? Role Drift in Compound LLM Systems Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics , pages=

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-02T08:17:26.514088Z

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Observation 2bedaa98-a1fc-4bc3-92db-8fc604598a57 · outbound

This paper cites ICML , year =.

Do Modules Stay in Their Lane? Role Drift in Compound LLM Systems ICML , year =

Reference 41

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Observation bea640d5-68c8-43f4-bd9e-503bfaa6670a · outbound

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

Do Modules Stay in Their Lane? Role Drift in Compound LLM Systems International Conference on Learning Representations (ICLR) , year =

Reference 42

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Observation 384c9067-8543-4dd2-8cad-6f4b1f6e5dac · outbound

This paper cites arXiv preprint arXiv:2502.17721 , year =.

Do Modules Stay in Their Lane? Role Drift in Compound LLM Systems arXiv preprint arXiv:2502.17721 , year =

Reference 43

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Observation 20ebdedf-b59d-4c78-970e-c026bf313490 · outbound

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

Do Modules Stay in Their Lane? Role Drift in Compound LLM Systems International Conference on Learning Representations (ICLR) , year =

Reference 44

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Observation bbb1954d-fc24-4b2a-a502-6eb5f3b016a7 · outbound

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

Do Modules Stay in Their Lane? Role Drift in Compound LLM Systems Advances in neural information processing systems , volume=

Reference 45

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Observation 89754e6e-158b-4e0e-a21d-faff0ccec044 · outbound

This paper cites TextGrad: Automatic "Differentiation" via Text.

Do Modules Stay in Their Lane? Role Drift in Compound LLM Systems TextGrad: Automatic "Differentiation" via Text

Reference 46

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Observation 23b78b21-3a48-4b19-a38c-c231fe388614 · outbound

This paper cites AFlow: Automating Agentic Workflow Generation.

Do Modules Stay in Their Lane? Role Drift in Compound LLM Systems AFlow: Automating Agentic Workflow Generation

Reference 47

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Observation c1d2f4ec-36d1-4b2f-abb5-dfc97d7343b6 · outbound

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

Do Modules Stay in Their Lane? Role Drift in Compound LLM Systems Journal of Machine Learning Research , volume =

Reference 48

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Observation 38405a09-982f-499a-b770-87a365165e47 · outbound

This paper cites and Schirm, Allen L.

Do Modules Stay in Their Lane? Role Drift in Compound LLM Systems and Schirm, Allen L

Reference 49

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Observation c8ac5096-5a3f-43f7-84df-a090b68dfe59 · outbound

This paper cites Fine-Tuning Language Models from Human Preferences.

Do Modules Stay in Their Lane? Role Drift in Compound LLM Systems Fine-Tuning Language Models from Human Preferences

Reference 50

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Observation fd9fea95-776f-45cc-8cf1-9d65d1d0f965 · outbound

This paper cites ST-MoE: Designing Stable and Transferable Sparse Expert Models.

Do Modules Stay in Their Lane? Role Drift in Compound LLM Systems ST-MoE: Designing Stable and Transferable Sparse Expert Models

Reference 51

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Observation 30face9b-bb12-45b0-936a-97e119cf0cd9 · outbound

This paper cites and Salakhutdinov, Ruslan and Manning, Christopher D.

Do Modules Stay in Their Lane? Role Drift in Compound LLM Systems and Salakhutdinov, Ruslan and Manning, Christopher D

Reference 52

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Observation 32b9db52-0670-406b-a0d4-f547024a27c6 · outbound

This paper cites NAACL , year =.

Do Modules Stay in Their Lane? Role Drift in Compound LLM Systems NAACL , year =

Reference 53

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Observation 940bbb06-1961-4118-8f3d-cea10c9b5c1b · outbound

This paper cites Program Synthesis with Large Language Models.

Do Modules Stay in Their Lane? Role Drift in Compound LLM Systems Program Synthesis with Large Language Models

Reference 54

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Observation 3c17ac66-529a-446f-9b63-b65ecb06dc92 · outbound

This paper cites Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation.

Do Modules Stay in Their Lane? Role Drift in Compound LLM Systems Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation

Reference 55

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Observation 0cf3cfe5-4796-4e14-bebc-861a0635a0a9 · outbound

This paper cites Qwen2.5 Technical Report.

Do Modules Stay in Their Lane? Role Drift in Compound LLM Systems Qwen2.5 Technical Report

Reference 56

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Observation 0140b66d-0c8a-41fb-b5b8-4e2c260bc753 · outbound

This paper cites Transactions of the Association for Computational Linguistics , volume=.

Do Modules Stay in Their Lane? Role Drift in Compound LLM Systems Transactions of the Association for Computational Linguistics , volume=

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-02T08:17:28.385719Z

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Observation 617e1fd3-0a08-4843-93e3-22685e19fbce · outbound

This paper cites an unresolved cited work.

Do Modules Stay in Their Lane? Role Drift in Compound LLM Systems Unresolved cited work

Reference 58

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Observation 02568a6c-da16-4fe6-aecb-f0f34086cf14 · outbound

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

Do Modules Stay in Their Lane? Role Drift in Compound LLM Systems Advances in Neural Information Processing Systems , year=

Reference 59

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Observation 9c02041d-5ef1-45a7-98fa-5553e3305263 · outbound

This paper cites Reinforcement Learning and Control as Probabilistic Inference: Tutorial and Review.

Do Modules Stay in Their Lane? Role Drift in Compound LLM Systems Reinforcement Learning and Control as Probabilistic Inference: Tutorial and Review

Reference 60

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Observation f4db7cc4-ec52-498c-b06a-b160554aaa82 · outbound

This paper cites Linearly-solvable.

Do Modules Stay in Their Lane? Role Drift in Compound LLM Systems Linearly-solvable

Reference 61

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Observation 3d803a2f-aab2-4fdb-8216-3d054cd4c4dd · outbound

This paper cites AAAI Conference on Artificial Intelligence , year=.

Do Modules Stay in Their Lane? Role Drift in Compound LLM Systems AAAI Conference on Artificial Intelligence , year=

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-02T08:17:29.075633Z

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Observation 72dfc77d-d891-4871-a79e-f947d79a5d57 · outbound

This paper cites and Shen, Yelong and Wallis, Phillip and Allen-Zhu, Zeyuan and Li, Yuanzhi and Wang, Shean and Wang, Lu and Chen, Weizhu , title =.

Do Modules Stay in Their Lane? Role Drift in Compound LLM Systems and Shen, Yelong and Wallis, Phillip and Allen-Zhu, Zeyuan and Li, Yuanzhi and Wang, Shean and Wang, Lu and Chen, Weizhu , title =

Reference 63

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Observation 8337b682-79c0-4818-a222-159df8597bd5 · outbound

This paper cites Let's Verify Step by Step.

Do Modules Stay in Their Lane? Role Drift in Compound LLM Systems Let's Verify Step by Step

Reference 64

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Observation 4edc27e3-7411-42a8-b500-9f3a86dd2465 · outbound

This paper cites Solving math word problems with process- and outcome-based feedback.

Do Modules Stay in Their Lane? Role Drift in Compound LLM Systems Solving math word problems with process- and outcome-based feedback

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-02T08:17:29.334723Z

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Observation aa76418b-5651-495a-a028-6838e366c30a · outbound

This paper cites , title =.

Do Modules Stay in Their Lane? Role Drift in Compound LLM Systems , title =

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-02T08:17:29.480487Z

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