PLANET: A Collection of Benchmarks for Evaluating LLMs' Planning Capabilities | Paper Citation Record

Observation 437f4928-54b3-4d1b-bbf3-338c7770a7a8 · outbound

This paper cites write newline.

PLANET: A Collection of Benchmarks for Evaluating LLMs' Planning Capabilities write newline

Reference 1

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Observation 800a59d7-ca20-4f31-bdac-1ff3fc66d388 · outbound

This paper cites Can Large Language Models be Good Path Planners? A Benchmark and Investigation on Spatial-temporal Reasoning.

PLANET: A Collection of Benchmarks for Evaluating LLMs' Planning Capabilities Can Large Language Models be Good Path Planners? A Benchmark and Investigation on Spatial-temporal Reasoning

Reference 2

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Observation f709a02c-cd01-4374-a0c9-91ac323d5e7f · outbound

This paper cites WorkArena++: Towards Compositional Planning and Reasoning-based Common Knowledge Work Tasks.

PLANET: A Collection of Benchmarks for Evaluating LLMs' Planning Capabilities WorkArena++: Towards Compositional Planning and Reasoning-based Common Knowledge Work Tasks

Reference 3

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Observation 97692f16-a116-4764-a58a-102f8bf982aa · outbound

This paper cites Windows Agent Arena: Evaluating Multi-Modal OS Agents at Scale.

PLANET: A Collection of Benchmarks for Evaluating LLMs' Planning Capabilities Windows Agent Arena: Evaluating Multi-Modal OS Agents at Scale

Reference 4

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Observation 68bbc0d6-bcd5-4a8f-9e74-dffb0a2f6aed · outbound

This paper cites PlaSma: Making Small Language Models Better Procedural Knowledge Models for (Counterfactual) Planning.

PLANET: A Collection of Benchmarks for Evaluating LLMs' Planning Capabilities PlaSma: Making Small Language Models Better Procedural Knowledge Models for (Counterfactual) Planning

Reference 5

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Observation 05665e30-b543-419c-8c3a-a6438eb26726 · outbound

This paper cites PARTNR: A Benchmark for Planning and Reasoning in Embodied Multi-agent Tasks.

PLANET: A Collection of Benchmarks for Evaluating LLMs' Planning Capabilities PARTNR: A Benchmark for Planning and Reasoning in Embodied Multi-agent Tasks

Reference 6

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Observation ed1af03c-e461-4663-a38e-530ff0dc4c76 · outbound

This paper cites Put Your Money Where Your Mouth Is: Evaluating Strategic Planning and Execution of LLM Agents in an Auction Arena.

PLANET: A Collection of Benchmarks for Evaluating LLMs' Planning Capabilities Put Your Money Where Your Mouth Is: Evaluating Strategic Planning and Execution of LLM Agents in an Auction Arena

Reference 7

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Observation b46779be-7e7d-4d18-9cdc-967121141d92 · outbound

This paper cites EgoPlan-Bench: Benchmarking Multimodal Large Language Models for Human-Level Planning.

PLANET: A Collection of Benchmarks for Evaluating LLMs' Planning Capabilities EgoPlan-Bench: Benchmarking Multimodal Large Language Models for Human-Level Planning

Reference 8

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Observation 86f944a4-8e43-4c60-ae28-b7830bfac183 · outbound

This paper cites Do Large Language Models have Problem-Solving Capability under Incomplete Information Scenarios?.

PLANET: A Collection of Benchmarks for Evaluating LLMs' Planning Capabilities Do Large Language Models have Problem-Solving Capability under Incomplete Information Scenarios?

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-08-16T11:42:31.753342Z

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Observation b7983657-5c1b-4998-817b-1220bf106969 · outbound

This paper cites Plancraft: an evaluation dataset for planning with LLM agents.

PLANET: A Collection of Benchmarks for Evaluating LLMs' Planning Capabilities Plancraft: an evaluation dataset for planning with LLM agents

Reference 10

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Observation 092da20e-953e-445f-8088-43b099aa739e · outbound

This paper cites Mind2Web: Towards a Generalist Agent for the Web.

PLANET: A Collection of Benchmarks for Evaluating LLMs' Planning Capabilities Mind2Web: Towards a Generalist Agent for the Web

Reference 11

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Observation 04eed57b-eacd-4bb5-813e-9aa0ca54f0c9 · outbound

This paper cites GTBench: Uncovering the Strategic Reasoning Limitations of LLMs via Game-Theoretic Evaluations.

PLANET: A Collection of Benchmarks for Evaluating LLMs' Planning Capabilities GTBench: Uncovering the Strategic Reasoning Limitations of LLMs via Game-Theoretic Evaluations

Reference 12

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Observation fda76345-77e4-4320-b51e-1bcb93bba2bf · outbound

This paper cites MineDojo: Building Open-Ended Embodied Agents with Internet-Scale Knowledge.

PLANET: A Collection of Benchmarks for Evaluating LLMs' Planning Capabilities MineDojo: Building Open-Ended Embodied Agents with Internet-Scale Knowledge

Reference 13

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Observation d1faf3ff-6695-493b-8e3e-5f3445e96331 · outbound

This paper cites REALM-Bench: A Benchmark for Evaluating Multi-Agent Systems on Real-world, Dynamic Planning and Scheduling Tasks.

PLANET: A Collection of Benchmarks for Evaluating LLMs' Planning Capabilities REALM-Bench: A Benchmark for Evaluating Multi-Agent Systems on Real-world, Dynamic Planning and Scheduling Tasks

Reference 14

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Observation 7759bf5f-4757-4694-a544-cc100b26917a · outbound

This paper cites Robotouille: An Asynchronous Planning Benchmark for LLM Agents.

PLANET: A Collection of Benchmarks for Evaluating LLMs' Planning Capabilities Robotouille: An Asynchronous Planning Benchmark for LLM Agents

Reference 15

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Observation ed876cd4-b325-4b55-bc97-896ac88ed323 · outbound

This paper cites an unresolved cited work.

PLANET: A Collection of Benchmarks for Evaluating LLMs' Planning Capabilities Unresolved cited work

Reference 16

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Observation 2e143f0e-a9fb-4317-a8c2-e54b4661ceb3 · outbound

This paper cites Benchmarking the Spectrum of Agent Capabilities.

PLANET: A Collection of Benchmarks for Evaluating LLMs' Planning Capabilities Benchmarking the Spectrum of Agent Capabilities

Reference 17

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Observation 9dbba190-bc17-427e-b823-07caf2aa6e31 · outbound

This paper cites Reasoning with Language Model is Planning with World Model.

PLANET: A Collection of Benchmarks for Evaluating LLMs' Planning Capabilities Reasoning with Language Model is Planning with World Model

Reference 18

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Observation afcca4b6-03c2-4bfc-be1f-dea03a5b5865 · outbound

This paper cites Planning Anything with Rigor: General-Purpose Zero-Shot Planning with LLM-based Formalized Programming.

PLANET: A Collection of Benchmarks for Evaluating LLMs' Planning Capabilities Planning Anything with Rigor: General-Purpose Zero-Shot Planning with LLM-based Formalized Programming

Reference 19

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Observation 9b0de9c2-5572-4871-b4f5-5653cda51224 · outbound

This paper cites Hoffmann and S.

PLANET: A Collection of Benchmarks for Evaluating LLMs' Planning Capabilities Hoffmann and S

Reference 20

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Observation 5acfda5a-ea43-4cd1-ad6c-79bdee617df5 · outbound

This paper cites Game-theoretic LLM: Agent Workflow for Negotiation Games.

PLANET: A Collection of Benchmarks for Evaluating LLMs' Planning Capabilities Game-theoretic LLM: Agent Workflow for Negotiation Games

Reference 21

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Observation becebb25-ba08-416d-8851-3b465549bbc4 · outbound

This paper cites How Far Are We on the Decision-Making of LLMs? Evaluating LLMs' Gaming Ability in Multi-Agent Environments.

PLANET: A Collection of Benchmarks for Evaluating LLMs' Planning Capabilities How Far Are We on the Decision-Making of LLMs? Evaluating LLMs' Gaming Ability in Multi-Agent Environments

Reference 22

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Observation 5eac89ff-f8ae-49e7-8d6b-c343b7e19715 · outbound

This paper cites CRMArena: Understanding the Capacity of LLM Agents to Perform Professional CRM Tasks in Realistic Environments.

PLANET: A Collection of Benchmarks for Evaluating LLMs' Planning Capabilities CRMArena: Understanding the Capacity of LLM Agents to Perform Professional CRM Tasks in Realistic Environments

Reference 23

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Observation 9dc7b07c-eb70-4f03-a556-6dc64688e083 · outbound

This paper cites Understanding the planning of LLM agents: A survey.

PLANET: A Collection of Benchmarks for Evaluating LLMs' Planning Capabilities Understanding the planning of LLM agents: A survey

Reference 24

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Observation caccdbe1-0d3e-4b59-b5fd-97c5c77d6fbd · outbound

This paper cites McNamara, and Deming Chen.

PLANET: A Collection of Benchmarks for Evaluating LLMs' Planning Capabilities McNamara, and Deming Chen

Reference 25

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Observation 4b81b7d5-62d8-4374-8a41-03c8649e1a1b · outbound

This paper cites SWE-bench: Can Language Models Resolve Real-World GitHub Issues?.

PLANET: A Collection of Benchmarks for Evaluating LLMs' Planning Capabilities SWE-bench: Can Language Models Resolve Real-World GitHub Issues?

Reference 26

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Observation 9f602155-bf47-426c-8f98-f3ba1cad0d82 · outbound

This paper cites To the Globe (TTG): Towards Language-Driven Guaranteed Travel Planning.

PLANET: A Collection of Benchmarks for Evaluating LLMs' Planning Capabilities To the Globe (TTG): Towards Language-Driven Guaranteed Travel Planning

Reference 27

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Observation 00bbfa85-def3-45a1-b19c-575aecf3ae68 · outbound

This paper cites Towards a foundation for evaluating ai planners.

PLANET: A Collection of Benchmarks for Evaluating LLMs' Planning Capabilities Towards a foundation for evaluating ai planners

Reference 28

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Observation de3cb5ef-3fa9-44f9-8d63-15a385916f7e · outbound

This paper cites VisualWebArena: Evaluating Multimodal Agents on Realistic Visual Web Tasks.

PLANET: A Collection of Benchmarks for Evaluating LLMs' Planning Capabilities VisualWebArena: Evaluating Multimodal Agents on Realistic Visual Web Tasks

Reference 29

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Observation effb16c8-f817-4a4c-8669-f96e58f0fb2d · outbound

This paper cites Beyond A*: Better Planning with Transformers via Search Dynamics Bootstrapping.

PLANET: A Collection of Benchmarks for Evaluating LLMs' Planning Capabilities Beyond A*: Better Planning with Transformers via Search Dynamics Bootstrapping

Reference 30

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Observation 8d8762b8-1d70-4513-b343-7e784854a888 · outbound

This paper cites LASP: Surveying the State-of-the-Art in Large Language Model-Assisted AI Planning.

PLANET: A Collection of Benchmarks for Evaluating LLMs' Planning Capabilities LASP: Surveying the State-of-the-Art in Large Language Model-Assisted AI Planning

Reference 31

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Observation ad2e18da-06fb-4a7d-9881-341f6efbf7d9 · outbound

This paper cites AgentBench: Evaluating LLMs as Agents.

PLANET: A Collection of Benchmarks for Evaluating LLMs' Planning Capabilities AgentBench: Evaluating LLMs as Agents

Reference 32

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Observation 2342f4ae-9a70-4c27-aa32-a65f467b1c02 · outbound

This paper cites AgentBoard: An Analytical Evaluation Board of Multi-turn LLM Agents.

PLANET: A Collection of Benchmarks for Evaluating LLMs' Planning Capabilities AgentBoard: An Analytical Evaluation Board of Multi-turn LLM Agents

Reference 33

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Observation bd41abc8-7cfd-40e0-9b37-0378cec5168e · outbound

This paper cites GAIA: a benchmark for General AI Assistants.

PLANET: A Collection of Benchmarks for Evaluating LLMs' Planning Capabilities GAIA: a benchmark for General AI Assistants

Reference 34

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Observation ef09f6f1-af60-48e0-b07e-59c5772b4654 · outbound

This paper cites LLaMAR: Long-Horizon Planning for Multi-Agent Robots in Partially Observable Environments.

PLANET: A Collection of Benchmarks for Evaluating LLMs' Planning Capabilities LLaMAR: Long-Horizon Planning for Multi-Agent Robots in Partially Observable Environments

Reference 35

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Observation 27054b1d-5257-4aca-b532-c1dd74c79b9d · outbound

This paper cites WorldAPIs: The World Is Worth How Many APIs? A Thought Experiment.

PLANET: A Collection of Benchmarks for Evaluating LLMs' Planning Capabilities WorldAPIs: The World Is Worth How Many APIs? A Thought Experiment

Reference 36

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Observation 02e6f43b-b23f-4025-b65a-6f953d5a0063 · outbound

This paper cites TEACh: Task-driven Embodied Agents that Chat.

PLANET: A Collection of Benchmarks for Evaluating LLMs' Planning Capabilities TEACh: Task-driven Embodied Agents that Chat

Reference 37

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Observation 1270d246-03f5-49a0-971f-c7c87a248c62 · outbound

This paper cites VirtualHome: Simulating Household Activities via Programs.

PLANET: A Collection of Benchmarks for Evaluating LLMs' Planning Capabilities VirtualHome: Simulating Household Activities via Programs

Reference 38

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Observation 4df2c259-59b7-45bc-8d13-36a89e34f829 · outbound

This paper cites Artificial I ntelligence: A modern approach.

PLANET: A Collection of Benchmarks for Evaluating LLMs' Planning Capabilities Artificial I ntelligence: A modern approach

Reference 39

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Observation bcccf922-b9f6-4e6f-85b1-70b95ae322d1 · outbound

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PLANET: A Collection of Benchmarks for Evaluating LLMs' Planning Capabilities Unresolved cited work

Reference 40

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Observation fe945321-7320-42a0-9d3b-304a3af33e46 · outbound

This paper cites Language Models Are Greedy Reasoners: A Systematic Formal Analysis of Chain-of-Thought.

PLANET: A Collection of Benchmarks for Evaluating LLMs' Planning Capabilities Language Models Are Greedy Reasoners: A Systematic Formal Analysis of Chain-of-Thought

Reference 41

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Observation 0ac9f86e-7e86-43ca-871f-adcbb3cef6f7 · outbound

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

PLANET: A Collection of Benchmarks for Evaluating LLMs' Planning Capabilities Reflexion: Language agents with verbal reinforcement learning

Reference 42

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Observation 1cf8db43-aeec-4025-be1f-3cd0991f6f64 · outbound

This paper cites ALFRED: A Benchmark for Interpreting Grounded Instructions for Everyday Tasks.

PLANET: A Collection of Benchmarks for Evaluating LLMs' Planning Capabilities ALFRED: A Benchmark for Interpreting Grounded Instructions for Everyday Tasks

Reference 43

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Observation f079fb56-3404-4631-b8de-a847da033a08 · outbound

This paper cites ALFWorld: Aligning Text and Embodied Environments for Interactive Learning.

PLANET: A Collection of Benchmarks for Evaluating LLMs' Planning Capabilities ALFWorld: Aligning Text and Embodied Environments for Interactive Learning

Reference 45

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Observation eb34491c-4abb-4cea-8aa6-c7fc90b09bdf · outbound

This paper cites Dualformer: Controllable Fast and Slow Thinking by Learning with Randomized Reasoning Traces.

PLANET: A Collection of Benchmarks for Evaluating LLMs' Planning Capabilities Dualformer: Controllable Fast and Slow Thinking by Learning with Randomized Reasoning Traces

Reference 46

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Observation 22f22cfb-abaf-4fd9-bac9-82bbb914c959 · outbound

This paper cites A ct P lan-1 K : Benchmarking the procedural planning ability of visual language models in household activities.

PLANET: A Collection of Benchmarks for Evaluating LLMs' Planning Capabilities A ct P lan-1 K : Benchmarking the procedural planning ability of visual language models in household activities

Reference 47

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Observation af7c1c86-79ce-42d9-b11a-a338691e9d9e · outbound

This paper cites Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models.

PLANET: A Collection of Benchmarks for Evaluating LLMs' Planning Capabilities Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models

Reference 48

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Observation b289fbf6-e96b-4180-87ea-a1f0e017baae · outbound

This paper cites Planbench: An extensible benchmark for evaluating large language models on planning and reasoning about change.

PLANET: A Collection of Benchmarks for Evaluating LLMs' Planning Capabilities Planbench: An extensible benchmark for evaluating large language models on planning and reasoning about change

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:42:31.895495Z

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Observation e19cb867-08ee-43b7-82b8-c8e95f7d22aa · outbound

This paper cites TMGBench: A Systematic Game Benchmark for Evaluating Strategic Reasoning Abilities of LLMs.

PLANET: A Collection of Benchmarks for Evaluating LLMs' Planning Capabilities TMGBench: A Systematic Game Benchmark for Evaluating Strategic Reasoning Abilities of LLMs

Reference 50

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Observation 610b3a32-17dd-4587-ba1b-dca90f4805c7 · outbound

This paper cites ByteSized32: A Corpus and Challenge Task for Generating Task-Specific World Models Expressed as Text Games.

PLANET: A Collection of Benchmarks for Evaluating LLMs' Planning Capabilities ByteSized32: A Corpus and Challenge Task for Generating Task-Specific World Models Expressed as Text Games

Reference 51

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Observation a41e4c9f-9017-4045-b2a3-23ae75f6fa59 · outbound

This paper cites PlanGenLLMs: A Modern Survey of LLM Planning Capabilities.

PLANET: A Collection of Benchmarks for Evaluating LLMs' Planning Capabilities PlanGenLLMs: A Modern Survey of LLM Planning Capabilities

Reference 52

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Observation 8e5c67e6-ed17-4d1c-be77-e217a9e33843 · outbound

This paper cites SmartPlay: A Benchmark for LLMs as Intelligent Agents.

PLANET: A Collection of Benchmarks for Evaluating LLMs' Planning Capabilities SmartPlay: A Benchmark for LLMs as Intelligent Agents

Reference 53

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Observation 2d1a69f6-afe7-4a6a-b2a9-260deb31ece3 · outbound

This paper cites Haste Makes Waste: Evaluating Planning Abilities of LLMs for Efficient and Feasible Multitasking with Time Constraints Between Actions.

PLANET: A Collection of Benchmarks for Evaluating LLMs' Planning Capabilities Haste Makes Waste: Evaluating Planning Abilities of LLMs for Efficient and Feasible Multitasking with Time Constraints Between Actions

Reference 54

Resolution: verified exact; local_arxiv, observed 2026-08-16T11:42:31.218150Z

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Observation 877a497b-2c2c-4508-900b-19af58227af9 · outbound

This paper cites AgentGym: Evolving Large Language Model-based Agents across Diverse Environments.

PLANET: A Collection of Benchmarks for Evaluating LLMs' Planning Capabilities AgentGym: Evolving Large Language Model-based Agents across Diverse Environments

Reference 55

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Observation 613c7175-759a-412e-aa26-ba6f541983ef · outbound

This paper cites TravelPlanner: A Benchmark for Real-World Planning with Language Agents.

PLANET: A Collection of Benchmarks for Evaluating LLMs' Planning Capabilities TravelPlanner: A Benchmark for Real-World Planning with Language Agents

Reference 56

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Observation cb4d9f63-921a-487d-9260-2e52dce4171e · outbound

This paper cites OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments.

PLANET: A Collection of Benchmarks for Evaluating LLMs' Planning Capabilities OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments

Reference 57

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Observation fd382599-bed7-4f6b-a92c-8a76ead1bad3 · outbound

This paper cites TheAgentCompany: Benchmarking LLM Agents on Consequential Real World Tasks.

PLANET: A Collection of Benchmarks for Evaluating LLMs' Planning Capabilities TheAgentCompany: Benchmarking LLM Agents on Consequential Real World Tasks

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-16T11:42:30.807885Z

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Observation 78ba1a21-c0b7-420e-bce6-d5f59afc08da · outbound

This paper cites Code to Think, Think to Code: A Survey on Code-Enhanced Reasoning and Reasoning-Driven Code Intelligence in LLMs.

PLANET: A Collection of Benchmarks for Evaluating LLMs' Planning Capabilities Code to Think, Think to Code: A Survey on Code-Enhanced Reasoning and Reasoning-Driven Code Intelligence in LLMs

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-16T11:42:30.812017Z

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Observation 9026ff36-f3bd-4e07-9890-70b3a0c8aa81 · outbound

This paper cites EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents.

PLANET: A Collection of Benchmarks for Evaluating LLMs' Planning Capabilities EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-16T11:42:30.816111Z

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Observation 5791e06e-b1ed-4ce3-a82e-256a228f2f7b · outbound

This paper cites WebShop: Towards Scalable Real-World Web Interaction with Grounded Language Agents.

PLANET: A Collection of Benchmarks for Evaluating LLMs' Planning Capabilities WebShop: Towards Scalable Real-World Web Interaction with Grounded Language Agents

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-16T11:42:30.820259Z

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Observation 93bb9eaf-4fdd-4a47-a684-007cfe67a7ac · outbound

This paper cites Tree of Thoughts: Deliberate Problem Solving with Large Language Models.

PLANET: A Collection of Benchmarks for Evaluating LLMs' Planning Capabilities Tree of Thoughts: Deliberate Problem Solving with Large Language Models

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-16T11:42:30.824579Z

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Observation 39454e2b-b2b6-4842-b595-c65d6329bd54 · outbound

This paper cites Safeagentbench: A benchmark for safe task planning of embodied llm agents, 2025.

PLANET: A Collection of Benchmarks for Evaluating LLMs' Planning Capabilities Safeagentbench: A benchmark for safe task planning of embodied llm agents, 2025

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-16T11:42:30.828802Z

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Observation 8f6941aa-c503-45bf-a047-3b1ca55e54de · outbound

This paper cites AssistantBench: Can Web Agents Solve Realistic and Time-Consuming Tasks?.

PLANET: A Collection of Benchmarks for Evaluating LLMs' Planning Capabilities AssistantBench: Can Web Agents Solve Realistic and Time-Consuming Tasks?

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-16T11:42:30.832699Z

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Observation d2cc9214-7e4e-45a2-af0e-8a05d3bb772c · outbound

This paper cites TaskLAMA: Probing the Complex Task Understanding of Language Models.

PLANET: A Collection of Benchmarks for Evaluating LLMs' Planning Capabilities TaskLAMA: Probing the Complex Task Understanding of Language Models

Reference 65

Resolution: verified exact; local_arxiv, observed 2026-08-16T11:42:31.021415Z

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Observation f4f9304a-ad9b-4ed1-9354-fa45d1a1189a · outbound

This paper cites Distilling Script Knowledge from Large Language Models for Constrained Language Planning.

PLANET: A Collection of Benchmarks for Evaluating LLMs' Planning Capabilities Distilling Script Knowledge from Large Language Models for Constrained Language Planning

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-16T11:42:30.840903Z

Source-reported events for the cited work

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Observation 25ca4793-3531-4e10-9260-ff078c74fba3 · outbound

This paper cites Learning to decompose and organize complex tasks.

PLANET: A Collection of Benchmarks for Evaluating LLMs' Planning Capabilities Learning to decompose and organize complex tasks

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:42:31.882453Z

Source-reported events for the cited work

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Observation 4f66b0b4-75bf-49d0-832a-49936e34aa8a · outbound

This paper cites T ime A rena: Shaping efficient multitasking language agents in a time-aware simulation.

PLANET: A Collection of Benchmarks for Evaluating LLMs' Planning Capabilities T ime A rena: Shaping efficient multitasking language agents in a time-aware simulation

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-16T11:42:30.849101Z

Source-reported events for the cited work

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Observation 90c3fc94-0feb-4a78-8540-f09d38be8100 · outbound

This paper cites NATURAL PLAN: Benchmarking LLMs on Natural Language Planning.

PLANET: A Collection of Benchmarks for Evaluating LLMs' Planning Capabilities NATURAL PLAN: Benchmarking LLMs on Natural Language Planning

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-16T11:42:30.853368Z

Source-reported events for the cited work

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Observation 9fc1a769-5486-4c94-ab34-06c58aa9bd11 · outbound

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

PLANET: A Collection of Benchmarks for Evaluating LLMs' Planning Capabilities Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-16T11:42:30.857299Z

Source-reported events for the cited work

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Observation 269952f8-09ba-4982-b8e6-7cdcbd61e686 · outbound

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

PLANET: A Collection of Benchmarks for Evaluating LLMs' Planning Capabilities WebArena: A Realistic Web Environment for Building Autonomous Agents

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-16T11:42:30.861679Z

Source-reported events for the cited work

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Observation 68d164e5-a1e6-407a-8c32-9b1b54c4621e · outbound

This paper cites @esa (Ref.

PLANET: A Collection of Benchmarks for Evaluating LLMs' Planning Capabilities @esa (Ref

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-16T11:42:30.865939Z

Source-reported events for the cited work

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Observation cb914a45-a361-4faf-b6cc-62f0213c3d43 · outbound

This paper cites an unresolved cited work.

PLANET: A Collection of Benchmarks for Evaluating LLMs' Planning Capabilities Unresolved cited work

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-16T11:42:30.870250Z

Source-reported events for the cited work

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Observation a6de5176-4b8d-417c-8ef4-607aa6fe8af9 · outbound

This paper cites an unresolved cited work.

PLANET: A Collection of Benchmarks for Evaluating LLMs' Planning Capabilities Unresolved cited work

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-16T11:42:30.874258Z

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