Improving Language Agents through BREW: Bootstrapping expeRientially-learned Environmental knoWledge | Paper Citation Record

Observation d0bcb039-1a59-4bc5-a1dc-13067998597e · outbound

This paper cites GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning.

Improving Language Agents through BREW: Bootstrapping expeRientially-learned Environmental knoWledge GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning

Reference 1

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Observation 2abe62a0-5f74-462e-83fe-4db261dffd09 · outbound

This paper cites Introducing computer use, a new Claude 3.5 Sonnet, and Claude 3.5 Haiku, Octo- ber 2024.

Improving Language Agents through BREW: Bootstrapping expeRientially-learned Environmental knoWledge Introducing computer use, a new Claude 3.5 Sonnet, and Claude 3.5 Haiku, Octo- ber 2024

Reference 2

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Observation 621c0088-e08b-4193-864c-381b8d5086f1 · outbound

This paper cites Let’s fix this together: Conversational debugging with github copilot.

Improving Language Agents through BREW: Bootstrapping expeRientially-learned Environmental knoWledge Let’s fix this together: Conversational debugging with github copilot

Reference 3

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Observation 47b40804-3583-4a24-8139-97d5c474b405 · outbound

This paper cites $\tau^2$-Bench: Evaluating Conversational Agents in a Dual-Control Environment.

Improving Language Agents through BREW: Bootstrapping expeRientially-learned Environmental knoWledge $\tau^2$-Bench: Evaluating Conversational Agents in a Dual-Control Environment

Reference 5

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Observation e5278bde-17d4-41c8-ba06-355e8754fb68 · outbound

This paper cites Rubicon: Rubric-based evaluation of domain-specific human ai conversations.

Improving Language Agents through BREW: Bootstrapping expeRientially-learned Environmental knoWledge Rubicon: Rubric-based evaluation of domain-specific human ai conversations

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-03T20:21:01.985324Z

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Observation 6146b6fb-447a-4640-a671-bc9869468052 · outbound

This paper cites Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory.

Improving Language Agents through BREW: Bootstrapping expeRientially-learned Environmental knoWledge Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory

Reference 7

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Observation faa38225-6505-4c66-969a-53beda650201 · outbound

This paper cites Plan-and-act: Improving planning of agents for long-horizon tasks.The Forty-Second International Conference on Machine Learning, 2025.

Improving Language Agents through BREW: Bootstrapping expeRientially-learned Environmental knoWledge Plan-and-act: Improving planning of agents for long-horizon tasks.The Forty-Second International Conference on Machine Learning, 2025

Reference 8

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Observation 9f555199-bb3e-43c8-826d-1248d0ef1afe · outbound

This paper cites Rajamani, and Gustavo Soares.

Improving Language Agents through BREW: Bootstrapping expeRientially-learned Environmental knoWledge Rajamani, and Gustavo Soares

Reference 9

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Observation c2c8039d-e738-48a9-8630-26eb63174747 · outbound

This paper cites MetaReflection: Learning instructions for language agents using past reflections.

Improving Language Agents through BREW: Bootstrapping expeRientially-learned Environmental knoWledge MetaReflection: Learning instructions for language agents using past reflections

Reference 10

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Observation 7c2af526-2f8e-4369-bc77-ebb7bb8bd524 · outbound

This paper cites Sub-goal Distillation: A Method to Improve Small Language Agents.

Improving Language Agents through BREW: Bootstrapping expeRientially-learned Environmental knoWledge Sub-goal Distillation: A Method to Improve Small Language Agents

Reference 11

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Observation d60501dd-3141-4029-be81-c1e2f3bda9b5 · outbound

This paper cites Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions.

Improving Language Agents through BREW: Bootstrapping expeRientially-learned Environmental knoWledge Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-03T20:21:02.684560Z

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Observation 7e37274f-4b38-47c7-9c7c-dee8d38f3d2a · outbound

This paper cites SWE-bench: Can language models resolve real-world github issues? InThe Twelfth International Conference on Learning Representations, 2024.

Improving Language Agents through BREW: Bootstrapping expeRientially-learned Environmental knoWledge SWE-bench: Can language models resolve real-world github issues? InThe Twelfth International Conference on Learning Representations, 2024

Reference 13

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Observation a148aa52-70ac-44bc-bafa-4226699ab9d3 · outbound

This paper cites Executable functional abstractions: Inferring generative programs for advanced math problems.

Improving Language Agents through BREW: Bootstrapping expeRientially-learned Environmental knoWledge Executable functional abstractions: Inferring generative programs for advanced math problems

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-03T20:21:02.860134Z

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Observation 932f6a53-61a4-4e97-811e-d03f65da427d · outbound

This paper cites Bandit based monte-carlo planning.

Improving Language Agents through BREW: Bootstrapping expeRientially-learned Environmental knoWledge Bandit based monte-carlo planning

Reference 15

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Observation 36146dd0-821f-4f7e-9c44-10c666ba2ec8 · outbound

This paper cites A review of prominent paradigms for llm-based agents: Tool use, planning (including rag), and feedback learning.

Improving Language Agents through BREW: Bootstrapping expeRientially-learned Environmental knoWledge A review of prominent paradigms for llm-based agents: Tool use, planning (including rag), and feedback learning

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-03T20:21:03.125893Z

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Observation ac240aae-fd6d-446b-8f34-d9a020dc9527 · outbound

This paper cites an unresolved cited work.

Improving Language Agents through BREW: Bootstrapping expeRientially-learned Environmental knoWledge Unresolved cited work

Reference 17

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Observation 54d130ec-40bd-4b48-844b-44170958c6c9 · outbound

This paper cites AlphaGo Moment for Model Architecture Discovery.

Improving Language Agents through BREW: Bootstrapping expeRientially-learned Environmental knoWledge AlphaGo Moment for Model Architecture Discovery

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-03T20:21:03.314578Z

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Observation 1f73e26f-267f-4b58-92e1-caed1dd25edd · outbound

This paper cites Spreadsheetbench: Towards challenging real world spreadsheet manipulation.Advances in Neural Information Processing Systems, 37:94871–94908, 2024.

Improving Language Agents through BREW: Bootstrapping expeRientially-learned Environmental knoWledge Spreadsheetbench: Towards challenging real world spreadsheet manipulation.Advances in Neural Information Processing Systems, 37:94871–94908, 2024

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-03T20:21:03.403671Z

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Observation 0287cc32-91d3-449b-972d-9031ccf8cfcf · outbound

This paper cites Optimizing the Interface Between Knowledge Graphs and LLMs for Complex Reasoning.

Improving Language Agents through BREW: Bootstrapping expeRientially-learned Environmental knoWledge Optimizing the Interface Between Knowledge Graphs and LLMs for Complex Reasoning

Reference 20

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Observation 05f7d4f7-9e3e-46b0-90d2-3e45417ea901 · outbound

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

Improving Language Agents through BREW: Bootstrapping expeRientially-learned Environmental knoWledge AlphaEvolve: A coding agent for scientific and algorithmic discovery

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-03T20:21:03.681646Z

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Observation 52be59fd-73b8-4173-8876-f389536d0b83 · outbound

This paper cites Introducing Operator, January 2025.

Improving Language Agents through BREW: Bootstrapping expeRientially-learned Environmental knoWledge Introducing Operator, January 2025

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-03T20:21:03.801855Z

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Observation 784043cc-3cf2-4c8f-8bb9-a5644cc3fb66 · outbound

This paper cites MemGPT: Towards LLMs as Operating Systems.

Improving Language Agents through BREW: Bootstrapping expeRientially-learned Environmental knoWledge MemGPT: Towards LLMs as Operating Systems

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-03T20:21:04.011907Z

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Observation f675ba65-ea34-4ebc-9253-fcdf310e64ca · outbound

This paper cites UI-TARS: Pioneering Automated GUI Interaction with Native Agents.

Improving Language Agents through BREW: Bootstrapping expeRientially-learned Environmental knoWledge UI-TARS: Pioneering Automated GUI Interaction with Native Agents

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-03T20:21:04.184053Z

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Observation a76f86cc-de25-4c80-b153-5b460ce1c9d4 · outbound

This paper cites Manning, and Chelsea Finn.

Improving Language Agents through BREW: Bootstrapping expeRientially-learned Environmental knoWledge Manning, and Chelsea Finn

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-03T20:21:04.297246Z

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Observation a5691ef9-b7be-49c5-8c6d-e2a610e09104 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Improving Language Agents through BREW: Bootstrapping expeRientially-learned Environmental knoWledge Proximal Policy Optimization Algorithms

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-03T20:21:04.535697Z

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Observation 57f1d302-f3e9-4f88-a924-18c470559959 · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

Improving Language Agents through BREW: Bootstrapping expeRientially-learned Environmental knoWledge DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-03T20:21:04.656484Z

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Observation a9744239-0573-46c3-8f0e-49e99558b79c · outbound

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

Improving Language Agents through BREW: Bootstrapping expeRientially-learned Environmental knoWledge Reflexion: Language agents with verbal reinforcement learning

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-03T20:21:04.774271Z

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Observation 1fa8a289-c0fc-4d5c-bd79-91b9729027fb · outbound

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Improving Language Agents through BREW: Bootstrapping expeRientially-learned Environmental knoWledge Unresolved cited work

Reference 29

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Observation c49ea48f-0746-41e0-bfe0-1834a716d56a · outbound

This paper cites PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt Optimization.

Improving Language Agents through BREW: Bootstrapping expeRientially-learned Environmental knoWledge PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt Optimization

Reference 30

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Observation 32ad4706-2c92-4568-b2dd-2d57fc273cb5 · outbound

This paper cites Towards LifeSpan Cognitive Systems.

Improving Language Agents through BREW: Bootstrapping expeRientially-learned Environmental knoWledge Towards LifeSpan Cognitive Systems

Reference 31

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Observation 0d1dfbc0-0cf6-48b3-9de9-bf53737d3052 · outbound

This paper cites Osworld: Benchmarking multimodal agents for open-ended tasks in real computer environments.

Improving Language Agents through BREW: Bootstrapping expeRientially-learned Environmental knoWledge Osworld: Benchmarking multimodal agents for open-ended tasks in real computer environments

Reference 32

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Observation 554f6d55-8e42-4bdf-adca-da777f58aa48 · outbound

This paper cites RAG in the Wild: On the (In)effectiveness of LLMs with Mixture-of-Knowledge Retrieval Augmentation.

Improving Language Agents through BREW: Bootstrapping expeRientially-learned Environmental knoWledge RAG in the Wild: On the (In)effectiveness of LLMs with Mixture-of-Knowledge Retrieval Augmentation

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-03T20:21:05.679971Z

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Observation 250c09b7-9881-48d4-bac1-98b3136d2cc8 · outbound

This paper cites A-MEM: Agentic Memory for LLM Agents.

Improving Language Agents through BREW: Bootstrapping expeRientially-learned Environmental knoWledge A-MEM: Agentic Memory for LLM Agents

Reference 35

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Observation 84be6755-a1db-4688-a571-4dac1b943506 · outbound

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Improving Language Agents through BREW: Bootstrapping expeRientially-learned Environmental knoWledge Auto-GPT for Online Decision Making: Benchmarks and Additional Opinions

Reference 36

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Observation 269e20d2-c895-4fdf-af94-396c4dda279b · outbound

This paper cites Swe-agent: Agent-computer interfaces enable automated software engineering.Advances in Neural Information Processing Systems, 37:50528–50652, 2024.

Improving Language Agents through BREW: Bootstrapping expeRientially-learned Environmental knoWledge Swe-agent: Agent-computer interfaces enable automated software engineering.Advances in Neural Information Processing Systems, 37:50528–50652, 2024

Reference 37

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Observation 65ca34e5-6d88-4a4e-9cca-20b4f3f0921f · outbound

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Improving Language Agents through BREW: Bootstrapping expeRientially-learned Environmental knoWledge React: Synergizing reasoning and acting in language models

Reference 38

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Improving Language Agents through BREW: Bootstrapping expeRientially-learned Environmental knoWledge τ-bench: A bench- mark for tool-agent-user interaction in real-world domains

Reference 39

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Observation e5dbe629-0e52-46e2-acdf-33be887a1893 · outbound

This paper cites typically,.

Improving Language Agents through BREW: Bootstrapping expeRientially-learned Environmental knoWledge typically,

Reference 40

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Improving Language Agents through BREW: Bootstrapping expeRientially-learned Environmental knoWledge Name", "Date

Reference 42

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Improving Language Agents through BREW: Bootstrapping expeRientially-learned Environmental knoWledge Name", "Date

Reference 43

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Improving Language Agents through BREW: Bootstrapping expeRientially-learned Environmental knoWledge Features: - Freeze Panes: - Automatically freeze header rows in Excel for easier navigation

Reference 44

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Improving Language Agents through BREW: Bootstrapping expeRientially-learned Environmental knoWledge Total" or

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Improving Language Agents through BREW: Bootstrapping expeRientially-learned Environmental knoWledge Actions: - Block ID: - Assign unique IDs (e.g., Block_001, Block_002)

Reference 46

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Improving Language Agents through BREW: Bootstrapping expeRientially-learned Environmental knoWledge block1.csv

Reference 47

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Improving Language Agents through BREW: Bootstrapping expeRientially-learned Environmental knoWledge North" in the

Reference 48

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Improving Language Agents through BREW: Bootstrapping expeRientially-learned Environmental knoWledge 26 Actions: - Logging: - Record coordinates (e.g., Sheet1, Row 3, Col "Region")

Reference 49

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Improving Language Agents through BREW: Bootstrapping expeRientially-learned Environmental knoWledge John" to

Reference 50

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Improving Language Agents through BREW: Bootstrapping expeRientially-learned Environmental knoWledge Approved_Flag

Reference 51

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Improving Language Agents through BREW: Bootstrapping expeRientially-learned Environmental knoWledge Success", red for

Reference 52

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Improving Language Agents through BREW: Bootstrapping expeRientially-learned Environmental knoWledge 2024-06-01, User: admin

Reference 53

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Observation a83d6852-802c-407b-bc85-e75d70abb96e · outbound

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Improving Language Agents through BREW: Bootstrapping expeRientially-learned Environmental knoWledge Process: - Load Sheets: - Read both sheets into memory

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-03T20:21:08.912642Z

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Observation b8e14f43-0aa3-436c-8250-8fbfe62a54e4 · outbound

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Improving Language Agents through BREW: Bootstrapping expeRientially-learned Environmental knoWledge North"→"South

Reference 55

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Improving Language Agents through BREW: Bootstrapping expeRientially-learned Environmental knoWledge Features: - Highlight Changes: - Color code changed cells

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-03T20:21:09.227436Z

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Observation 680be715-d547-417e-9451-5024f6eeb8c1 · outbound

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Improving Language Agents through BREW: Bootstrapping expeRientially-learned Environmental knoWledge ID", "Date

Reference 57

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Improving Language Agents through BREW: Bootstrapping expeRientially-learned Environmental knoWledge Actions: - Rename/Relabel: - Standardize column names

Reference 58

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Observation 07d1e277-630a-4024-b951-78048a0ba5fc · outbound

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Improving Language Agents through BREW: Bootstrapping expeRientially-learned Environmental knoWledge Features: - Presets: - Save selection profiles

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-03T20:21:09.623060Z

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Observation dea8f6ea-cf91-4d76-9414-6aa14c9cb2f3 · outbound

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Improving Language Agents through BREW: Bootstrapping expeRientially-learned Environmental knoWledge Approved

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-03T20:21:09.731417Z

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Observation df9b0c32-b528-4952-a3ab-4e24127fc116 · outbound

This paper cites Actions: - Helper Columns: - Compute intermediate flags.

Improving Language Agents through BREW: Bootstrapping expeRientially-learned Environmental knoWledge Actions: - Helper Columns: - Compute intermediate flags

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-03T20:21:09.816285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b08550f0-da75-4e0f-96f7-a2c428bb86d6 · outbound

This paper cites Features: - Highlighting: - Grey-out filtered-out rows.

Improving Language Agents through BREW: Bootstrapping expeRientially-learned Environmental knoWledge Features: - Highlighting: - Grey-out filtered-out rows

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-03T20:21:09.930048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb1f0f34-a749-42a3-b83b-022a58620d54 · outbound

This paper cites Customer_ID.

Improving Language Agents through BREW: Bootstrapping expeRientially-learned Environmental knoWledge Customer_ID

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-03T20:21:10.013731Z

Source-reported events for the cited work

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Observation a213c032-f91b-4292-abe2-201c9e412345 · outbound

This paper cites Methods: - Vertical Append: - Combine rows from similar tables.

Improving Language Agents through BREW: Bootstrapping expeRientially-learned Environmental knoWledge Methods: - Vertical Append: - Combine rows from similar tables

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-03T20:21:10.157535Z

Source-reported events for the cited work

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Observation 27f6cde8-b6b0-493d-9c66-cdb0ae08820e · outbound

This paper cites Actions: - Source Column: - Add "Source" to indicate origin.

Improving Language Agents through BREW: Bootstrapping expeRientially-learned Environmental knoWledge Actions: - Source Column: - Add "Source" to indicate origin

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-03T20:21:10.271654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e8a10a3-7925-42b9-a0c6-faf1e0b63bb6 · outbound

This paper cites Amount" by.

Improving Language Agents through BREW: Bootstrapping expeRientially-learned Environmental knoWledge Amount" by

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-03T20:21:10.411384Z

Source-reported events for the cited work

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Observation 8d41cc2e-24fd-4c45-857e-a023d6d6c3b6 · outbound

This paper cites Techniques: - Melt Operations: - Convert columns into rows.

Improving Language Agents through BREW: Bootstrapping expeRientially-learned Environmental knoWledge Techniques: - Melt Operations: - Convert columns into rows

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-03T20:21:10.525160Z

Source-reported events for the cited work

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Observation 78b7c0c6-f1ae-4f29-a097-bd6b8a2119db · outbound

This paper cites Features: - Flatten Pivot Table: - Convert back to flat for further analysis.

Improving Language Agents through BREW: Bootstrapping expeRientially-learned Environmental knoWledge Features: - Flatten Pivot Table: - Convert back to flat for further analysis

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-03T20:21:10.637554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c63acf7d-1e2d-4436-8c54-d367b529515c · outbound

This paper cites N"→Label.

Improving Language Agents through BREW: Bootstrapping expeRientially-learned Environmental knoWledge N"→Label

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-03T20:21:10.777582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 386c2fc9-0f7e-4bba-84dd-293dc9c94649 · outbound

This paper cites Actions: - Apply Mappings: - Across selected columns.

Improving Language Agents through BREW: Bootstrapping expeRientially-learned Environmental knoWledge Actions: - Apply Mappings: - Across selected columns

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-03T20:21:10.960479Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d994e3a3-0197-41a3-a0cb-ec26726482a0 · outbound

This paper cites Features: - Cache Mappings: - Store for repeated use.

Improving Language Agents through BREW: Bootstrapping expeRientially-learned Environmental knoWledge Features: - Cache Mappings: - Store for repeated use

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-03T20:21:11.068623Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e5fdc87-db1d-455a-b068-81a450801543 · outbound

This paper cites Techniques: - Forward/Backward Fill: - Fill gaps with prior/next value.

Improving Language Agents through BREW: Bootstrapping expeRientially-learned Environmental knoWledge Techniques: - Forward/Backward Fill: - Fill gaps with prior/next value

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-03T20:21:11.183807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 827646ab-482f-4129-8865-7c9d6643f32a · outbound

This paper cites Actions: - Targeted Filling: - Apply to specific columns/rows.

Improving Language Agents through BREW: Bootstrapping expeRientially-learned Environmental knoWledge Actions: - Targeted Filling: - Apply to specific columns/rows

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-03T20:21:11.353470Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bcb660a8-1c93-433f-81ef-b28429cec740 · outbound

This paper cites Features: - Record Logic: - Document assumptions and methods.

Improving Language Agents through BREW: Bootstrapping expeRientially-learned Environmental knoWledge Features: - Record Logic: - Document assumptions and methods

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-03T20:21:11.408861Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ea19efc7-a486-4191-b892-bd97690765ab · outbound

This paper cites Examples: - Simple Rule: - Flag where Amount < 0 - Complex Rule: - Flag where Status = "Pending" and Amount > 1000.

Improving Language Agents through BREW: Bootstrapping expeRientially-learned Environmental knoWledge Examples: - Simple Rule: - Flag where Amount < 0 - Complex Rule: - Flag where Status = "Pending" and Amount > 1000

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-03T20:21:11.578591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b019918d-ac60-4614-9f9c-430a7ca64bb3 · outbound

This paper cites Flag" column with.

Improving Language Agents through BREW: Bootstrapping expeRientially-learned Environmental knoWledge Flag" column with

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-03T20:21:11.661835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 66882605-b821-4fbd-93ce-a1d92d702b6e · outbound

This paper cites Features: - Multi-Criteria: - Combine several rules for granular checks.

Improving Language Agents through BREW: Bootstrapping expeRientially-learned Environmental knoWledge Features: - Multi-Criteria: - Combine several rules for granular checks

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-03T20:21:11.743354Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d1205059-0516-41f3-836e-de9193317a04 · outbound

This paper cites Region", then by.

Improving Language Agents through BREW: Bootstrapping expeRientially-learned Environmental knoWledge Region", then by

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-03T20:21:11.888558Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 345dd22e-d8d5-4743-95ad-e933f88d5172 · outbound

This paper cites Methods: - Spreadsheet Tools: - Built-in sort features.

Improving Language Agents through BREW: Bootstrapping expeRientially-learned Environmental knoWledge Methods: - Spreadsheet Tools: - Built-in sort features

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-03T20:21:12.062096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee2d8c24-31da-4684-af2d-626b1261fea3 · outbound

This paper cites Actions: - Renumber Rows: - Update indices.

Improving Language Agents through BREW: Bootstrapping expeRientially-learned Environmental knoWledge Actions: - Renumber Rows: - Update indices

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-03T20:21:12.233235Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ebfd3ac-0c0a-486a-816c-de2d866f1acb · outbound

This paper cites Amount" > 0. - Pattern: - Date columns match YYYY-MM-DD. - Business Rule Example: -.

Improving Language Agents through BREW: Bootstrapping expeRientially-learned Environmental knoWledge Amount" > 0. - Pattern: - Date columns match YYYY-MM-DD. - Business Rule Example: -

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-03T20:21:12.344213Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab25a7a9-9b9a-42d8-acdf-ed38d58c0035 · outbound

This paper cites Actions: - Highlight Invalids: - Color-code errors.

Improving Language Agents through BREW: Bootstrapping expeRientially-learned Environmental knoWledge Actions: - Highlight Invalids: - Color-code errors

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-03T20:21:12.483656Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 198fd435-6bc4-4096-8a05-e3236a35931d · outbound

This paper cites Features: - Pre-Processing Step: - Validate before analysis.

Improving Language Agents through BREW: Bootstrapping expeRientially-learned Environmental knoWledge Features: - Pre-Processing Step: - Validate before analysis

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-03T20:21:12.565847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99c85e4a-c19a-4755-a5f6-f06eec17314e · outbound

This paper cites Methods: - By Category: - E.g., split by "Region".

Improving Language Agents through BREW: Bootstrapping expeRientially-learned Environmental knoWledge Methods: - By Category: - E.g., split by "Region"

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-03T20:21:12.739315Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2341b8cb-38b2-42eb-8ebf-68f7d45594db · outbound

This paper cites North_Region.csv.

Improving Language Agents through BREW: Bootstrapping expeRientially-learned Environmental knoWledge North_Region.csv

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-03T20:21:12.879147Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b8cf7588-677c-41be-957c-4f1063c1355e · outbound

This paper cites Why to use it.

Improving Language Agents through BREW: Bootstrapping expeRientially-learned Environmental knoWledge Why to use it

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-03T20:21:12.961279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7fe47b7-248b-4159-8590-294bca28f463 · outbound

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

Improving Language Agents through BREW: Bootstrapping expeRientially-learned Environmental knoWledge Direct Preference Optimization: Your Language Model is Secretly a Reward Model

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-03T20:21:04.460400Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

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Outbound references

Pith citing papers