Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T11:30:57.048733Z
Paper Citation Record · LEDGER
As of 13 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 1 inbound Pith citation observation for arXiv:2506.02298.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T11:30:57.048733Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T16:45:59.767986Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T16:46:03.964361Z
30 of 30 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 784323fb-bcbd-4a17-83bc-97e9da8aa4fc · outbound
LAM SIMULATOR: Advancing Data Generation for Large Action Model Training via Online Exploration and Trajectory Feedback GPT-4 Technical Report
Reference 1
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Observation 3856173b-3022-4920-b467-67c7b4a97525 · outbound
LAM SIMULATOR: Advancing Data Generation for Large Action Model Training via Online Exploration and Trajectory Feedback Unresolved cited work
Reference 2
Source-reported events for the cited work
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Observation 7722ca1e-4be8-49b1-b8d0-65aaa2cb1e06 · outbound
LAM SIMULATOR: Advancing Data Generation for Large Action Model Training via Online Exploration and Trajectory Feedback FireAct: Toward Language Agent Fine-tuning
Reference 3
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Observation 5424dcfb-a1fc-4f34-8475-3f14546a082b · outbound
LAM SIMULATOR: Advancing Data Generation for Large Action Model Training via Online Exploration and Trajectory Feedback The Llama 3 Herd of Models
Reference 4
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Observation b124154d-4a45-4a0c-99f7-8696387b869d · outbound
LAM SIMULATOR: Advancing Data Generation for Large Action Model Training via Online Exploration and Trajectory Feedback ToolTalk: Evaluating Tool-Usage in a Conversational Setting
Reference 5
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Observation 67f1e5c9-5bc6-452e-b189-7713f76606e3 · outbound
LAM SIMULATOR: Advancing Data Generation for Large Action Model Training via Online Exploration and Trajectory Feedback Unresolved cited work
Reference 6
Source-reported events for the cited work
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Observation 23cb4f08-1b04-48a3-9c2d-2262cb79a598 · outbound
LAM SIMULATOR: Advancing Data Generation for Large Action Model Training via Online Exploration and Trajectory Feedback Mixtral of Experts
Reference 7
Source-reported events for the cited work
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Observation 9da97f14-6dec-49f7-8e6b-b925afd3ce4a · outbound
LAM SIMULATOR: Advancing Data Generation for Large Action Model Training via Online Exploration and Trajectory Feedback ToolScan: A Benchmark for Characterizing Errors in Tool-Use LLMs
Reference 8
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Observation f72839fa-1d8f-4c98-b8b6-028e3ec1722f · outbound
LAM SIMULATOR: Advancing Data Generation for Large Action Model Training via Online Exploration and Trajectory Feedback AgentBench: Evaluating LLMs as Agents
Reference 9
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Observation 57c884b9-c144-4f9b-965c-25e88c647e55 · outbound
LAM SIMULATOR: Advancing Data Generation for Large Action Model Training via Online Exploration and Trajectory Feedback AgentLite: A Lightweight Library for Building and Advancing Task-Oriented LLM Agent System
Reference 10
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Observation 0033256e-4c6a-44d5-84b0-8f3f55f264d8 · outbound
LAM SIMULATOR: Advancing Data Generation for Large Action Model Training via Online Exploration and Trajectory Feedback Unresolved cited work
Reference 11
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 07df1bbd-0184-437d-ac61-5330f2269e25 · outbound
LAM SIMULATOR: Advancing Data Generation for Large Action Model Training via Online Exploration and Trajectory Feedback AgentBoard: An Analytical Evaluation Board of Multi-turn LLM Agents
Reference 12
Source-reported events for the cited work
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Observation a6b2997e-2852-4a30-b082-e3494ea93b59 · outbound
LAM SIMULATOR: Advancing Data Generation for Large Action Model Training via Online Exploration and Trajectory Feedback Unresolved cited work
Reference 13
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Observation e1509e81-cb5b-4906-b6aa-ad0eb7cb1fd3 · outbound
LAM SIMULATOR: Advancing Data Generation for Large Action Model Training via Online Exploration and Trajectory Feedback Unresolved cited work
Reference 14
Source-reported events for the cited work
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Observation 53a71b66-ade2-484c-a333-c54d6e689ae1 · outbound
LAM SIMULATOR: Advancing Data Generation for Large Action Model Training via Online Exploration and Trajectory Feedback ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs
Reference 15
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Observation 7be69043-74e1-4d4b-9984-ba1366878922 · outbound
LAM SIMULATOR: Advancing Data Generation for Large Action Model Training via Online Exploration and Trajectory Feedback Unresolved cited work
Reference 16
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Observation 19867723-796a-4262-b848-43cf24b3e5e8 · outbound
LAM SIMULATOR: Advancing Data Generation for Large Action Model Training via Online Exploration and Trajectory Feedback Trial and Error: Exploration-Based Trajectory Optimization for LLM Agents
Reference 17
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Observation 82ce7764-72c6-4eba-b8f9-e75bc4f81d44 · outbound
LAM SIMULATOR: Advancing Data Generation for Large Action Model Training via Online Exploration and Trajectory Feedback Learn-by-interact: A Data-Centric Framework for Self-Adaptive Agents in Realistic Environments
Reference 18
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Observation 6aa6d5e7-af23-4734-a2bf-b0c769644d38 · outbound
LAM SIMULATOR: Advancing Data Generation for Large Action Model Training via Online Exploration and Trajectory Feedback Unresolved cited work
Reference 19
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Observation ba39a1fd-be63-4687-abeb-baa85f06085d · outbound
LAM SIMULATOR: Advancing Data Generation for Large Action Model Training via Online Exploration and Trajectory Feedback OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments
Reference 20
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Unavailable: canonical work link unavailable.
Observation e63821cd-ced6-402c-89ee-9737b051f880 · outbound
LAM SIMULATOR: Advancing Data Generation for Large Action Model Training via Online Exploration and Trajectory Feedback Unresolved cited work
Reference 21
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 5bb1e9e3-be8d-4c99-b788-d47dc6d59e0a · outbound
LAM SIMULATOR: Advancing Data Generation for Large Action Model Training via Online Exploration and Trajectory Feedback Patil, Ion Stoica, and Joseph E
Reference 22
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation f24f8c81-bc38-4130-9d76-e8d7303ecdda · outbound
LAM SIMULATOR: Advancing Data Generation for Large Action Model Training via Online Exploration and Trajectory Feedback $\tau$-bench: A Benchmark for Tool-Agent-User Interaction in Real-World Domains
Reference 23
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Observation 17537d2f-6127-43fb-9c65-0315d93d996b · outbound
LAM SIMULATOR: Advancing Data Generation for Large Action Model Training via Online Exploration and Trajectory Feedback Unresolved cited work
Reference 24
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Observation 17d6f05d-44d4-4250-8ca1-a25226fcd2c9 · outbound
LAM SIMULATOR: Advancing Data Generation for Large Action Model Training via Online Exploration and Trajectory Feedback ActionStudio: A Lightweight Framework for Data and Training of Large Action Models
Reference 25
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Unavailable: canonical work link unavailable.
Observation 8b37857e-8851-413d-87d0-9aa357bf5ecf · outbound
LAM SIMULATOR: Advancing Data Generation for Large Action Model Training via Online Exploration and Trajectory Feedback AgentOhana: Design Unified Data and Training Pipeline for Effective Agent Learning
Reference 26
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Observation 903d018c-e11c-4446-9e6b-614dd46ea320 · outbound
LAM SIMULATOR: Advancing Data Generation for Large Action Model Training via Online Exploration and Trajectory Feedback xLAM: A Family of Large Action Models to Empower AI Agent Systems
Reference 27
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Observation f80f2062-b766-4401-9e76-ef9e5998702d · outbound
LAM SIMULATOR: Advancing Data Generation for Large Action Model Training via Online Exploration and Trajectory Feedback WebArena: A Realistic Web Environment for Building Autonomous Agents
Reference 28
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Observation a894b1dc-9508-4ff3-b46f-74929a17e9c9 · outbound
LAM SIMULATOR: Advancing Data Generation for Large Action Model Training via Online Exploration and Trajectory Feedback online" 'onlinestring :=
Reference 29
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Observation 89235b0e-808b-44b9-99b6-4ddb72295c6a · outbound
LAM SIMULATOR: Advancing Data Generation for Large Action Model Training via Online Exploration and Trajectory Feedback write newline
Reference 30
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Observation a05bf665-2307-4f98-84fe-e0c110d1fff4 · inbound
MCPEval: Automatic MCP-based Deep Evaluation for AI Agent Models LAM SIMULATOR: Advancing Data Generation for Large Action Model Training via Online Exploration and Trajectory Feedback
Reference 12
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.