Paper Citation Record · LEDGER

EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents

As of 6 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 57 inbound Pith citation observations for arXiv:2502.09560.

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

pith.paper-citation-record.v1
2502.09560 v3

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-17T00:24:45.343430Z

measured 79 of 79 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 57 of 57 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T00:13:24.699600Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

22 of 22 outbound references displayed

verified exact1
verified fuzzy18
unresolved2
parse uncertain0
malformed identifier1
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External citation measurements

1
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 077f13c7-f4f6-4281-9a93-74407eed553e · outbound

This paper cites Put washed lettuce in the refrigerator.

EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents Put washed lettuce in the refrigerator

Reference 1

Resolution: verified exact; doi, observed 2026-05-17T00:24:45.369129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 83542d9a-a771-4696-8036-4bc678362fac · outbound

This paper cites an unresolved cited work.

EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-05-17T00:24:45.372187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 5e3f3d06-7814-40bf-8c03-e2845c01765d · outbound

This paper cites Avoid performing actions that do not meet the defined validity criteria.

EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents Avoid performing actions that do not meet the defined validity criteria

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T00:24:45.375431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 35028448-e93f-4a45-8109-acf312d1bafe · outbound

This paper cites You can explore these instances if you do not find the desired object in the current receptacle.

EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents You can explore these instances if you do not find the desired object in the current receptacle

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T00:24:45.378460Z

Source-reported events for the cited work

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Observation 797cd098-8497-4ada-862e-56bd9744abb0 · outbound

This paper cites If the last action is invalid, reflect on the reason, such as not adhering to action rules or missing preliminary actions, and adjust your plan accordingly.

EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents If the last action is invalid, reflect on the reason, such as not adhering to action rules or missing preliminary actions, and adjust your plan accordingly

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T00:24:45.381475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 71e67403-b852-4a13-97c4-542ec1991b58 · outbound

This paper cites Each plan should include no more than 20 actions.

EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents Each plan should include no more than 20 actions

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T00:24:45.384181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 977209b6-ef16-472f-8278-f2a71daa2f90 · outbound

This paper cites an unresolved cited work.

EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-05-17T00:24:45.386905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation dee88191-3283-4676-a5c7-88ac72b6fe26 · outbound

This paper cites Avoid performing actions that do not meet the defined validity criteria.

EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents Avoid performing actions that do not meet the defined validity criteria

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T00:24:45.389411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 36546a12-1133-4870-ac32-3cb138ea2feb · outbound

This paper cites Try to modify the action sequence because previous actions do not lead to success.

EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents Try to modify the action sequence because previous actions do not lead to success

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T00:24:45.392036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 299b9357-228e-485f-b20b-91522f8445d7 · outbound

This paper cites You can explore these instances if you do not find the desired object in the current receptacle.

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T00:24:45.394687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 403ea813-25c6-4af7-9e4d-837180734fce · outbound

This paper cites If the last action is invalid, reflect on the reason, such as not adhering to action rules or missing preliminary actions, and adjust your plan accordingly.

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T00:24:45.397482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 72382bf5-739c-46d4-a07b-a06d9db221e9 · outbound

This paper cites try to be as close as possible.

EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents try to be as close as possible

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T00:24:45.399850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 7350b6a4-db4a-4193-9f47-bf12a4df4cdd · outbound

This paper cites on the front left side, a few steps from the current standing point).

EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents on the front left side, a few steps from the current standing point)

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T00:24:45.402302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b5693947-0715-44f1-8fc4-047add080fa7 · outbound

This paper cites When planning for movement, reason based on target object’s location and obstacles around you.

EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents When planning for movement, reason based on target object’s location and obstacles around you

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T00:24:45.404755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation aa04e17b-1ded-4bf1-9cd1-2f1961248a69 · outbound

This paper cites In other words, do not overly focus on correcting invalid actions when direct movement toward the target object can still bring you closer.

EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents In other words, do not overly focus on correcting invalid actions when direct movement toward the target object can still bring you closer

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T00:24:45.407479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 72944b41-f8aa-43b6-9ec0-a8cb8d3cadc9 · outbound

This paper cites If so, plan nothing but ONE ROTATION at a step until that object appears in your view.

EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents If so, plan nothing but ONE ROTATION at a step until that object appears in your view

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T00:24:45.410831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 40c206ad-1f5e-46a5-9c25-0ff9c6852f30 · outbound

This paper cites red", "maroon.

EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents red", "maroon

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T00:24:45.413310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 8097f701-ec5a-42d1-9348-8ca586228f76 · outbound

This paper cites There are two copper-colored pots visible on the stovetop.

EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents There are two copper-colored pots visible on the stovetop

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T00:24:45.415740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a08ff14e-16e8-4dae-b047-36d8e03a1dc4 · outbound

This paper cites pick up the spoon3.

EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents pick up the spoon3

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T00:24:45.418183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation acb841d4-5da2-4479-b6ed-3428036d8655 · outbound

This paper cites pick up the sponge9.

EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents pick up the sponge9

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T00:24:45.420522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 9d54dd95-e210-44a7-81ba-c1d0bcfb4efb · outbound

This paper cites action_id.

EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents action_id

Reference 27

Resolution: malformed identifier; raw_fallback, observed 2026-05-17T00:24:45.423186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 7cc72fbe-ec6d-4038-8692-4a40cfdd318f · outbound

This paper cites Rotate to the left by 90 degrees18.

EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents Rotate to the left by 90 degrees18

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T00:24:45.425569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Pith citing papers

Observation cd0faa7a-c349-44bf-baa1-866bfa5a84ca · inbound

From LLM Reasoning to Autonomous AI Agents: A Comprehensive Review cites this paper.

From LLM Reasoning to Autonomous AI Agents: A Comprehensive Review EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents

Reference 124

Resolution: verified exact; arxiv_id, observed 2026-05-17T00:24:45.426358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 1c01cf7b-0cb0-43b0-a351-1d7b11dc2069 · inbound

VS-Bench: Evaluating VLMs for Strategic Abilities in Multi-Agent Environments cites this paper.

VS-Bench: Evaluating VLMs for Strategic Abilities in Multi-Agent Environments EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents

Reference 83

Resolution: verified exact; local_arxiv, observed 2026-05-19T11:57:16.257323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 2fbb1055-bac0-4de1-afab-f3b463cd6f0b · inbound

A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence cites this paper.

A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents

Reference 113

Resolution: metadata mismatch; arxiv_id, observed 2026-05-17T00:24:45.426358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 2ce6b19d-f7b0-40cc-bf15-783a3356c17d · inbound

RoboGPT-R1: Enhancing Robot Task Planning with Reinforcement Learning cites this paper.

RoboGPT-R1: Enhancing Robot Task Planning with Reinforcement Learning EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents

Reference 59

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Source-reported events for the cited work

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Observation 0c3c7d1d-2359-447e-acd6-b3946edd022e · inbound

World Simulation with Video Foundation Models for Physical AI cites this paper.

World Simulation with Video Foundation Models for Physical AI EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents

Reference 90

Resolution: verified exact; arxiv_id, observed 2026-05-17T00:24:45.426358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 001bf018-0459-48d5-a0b6-fc31a33ace18 · inbound

SWITCH: Benchmarking Modeling and Handling of Tangible Interfaces in Long-horizon Embodied Scenarios cites this paper.

SWITCH: Benchmarking Modeling and Handling of Tangible Interfaces in Long-horizon Embodied Scenarios EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents

Reference 25

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Source-reported events for the cited work

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Observation e46753b1-8384-4fb1-8788-a17ba1a5348e · inbound

Beyond Description: Cognitively Benchmarking Fine-Grained Action for Embodied Agents cites this paper.

Beyond Description: Cognitively Benchmarking Fine-Grained Action for Embodied Agents EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-03T20:42:56.921728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c686cc6-2972-49c6-a179-b04d943a1882 · inbound

Vision-Language Memory for Spatial Reasoning cites this paper.

Vision-Language Memory for Spatial Reasoning EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-03T20:15:35.989249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c4ac8e5-6d71-49fb-a73a-d9d4a7249104 · inbound

Multimodal Reinforcement Learning with Adaptive Verifier for AI Agents cites this paper.

Multimodal Reinforcement Learning with Adaptive Verifier for AI Agents EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents

Reference 61

Resolution: verified exact; local_arxiv, observed 2026-05-17T03:11:29.855452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f552b55e-3a86-4cb2-9843-7e8bfaf3efeb · inbound

Multimodal Reinforcement Learning with Adaptive Verifier for AI Agents cites this paper.

Multimodal Reinforcement Learning with Adaptive Verifier for AI Agents EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-03T18:51:48.033515Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9718d69a-9d11-4238-a967-d9ec96a96563 · inbound

Unified Embodied VLM Reasoning with Robotic Action via Autoregressive Discretized Pre-training cites this paper.

Unified Embodied VLM Reasoning with Robotic Action via Autoregressive Discretized Pre-training EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-03T13:29:51.752016Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c503a699-ab9c-40d3-8e94-86609930ed8f · inbound

TCAP: Tri-Component Attention Profiling for Unsupervised Backdoor Detection in MLLM Fine-Tuning cites this paper.

TCAP: Tri-Component Attention Profiling for Unsupervised Backdoor Detection in MLLM Fine-Tuning EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents

Reference 15

Resolution: metadata mismatch; local_arxiv, observed 2026-05-25T07:35:28.658157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 96c42348-e4f9-4d2a-9dd5-373bf61df92a · inbound

PLanAR: Planning-Language-Grounded Agentic Reasoning for Robot Manipulation cites this paper.

PLanAR: Planning-Language-Grounded Agentic Reasoning for Robot Manipulation EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-03T05:38:50.023173Z

Source-reported events for the cited work

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Observation 134909e8-416c-4e2d-bab2-370b3069cce1 · inbound

ST-BiBench: Benchmarking Multi-Stream Multimodal Coordination in Bimanual Embodied Tasks for MLLMs cites this paper.

ST-BiBench: Benchmarking Multi-Stream Multimodal Coordination in Bimanual Embodied Tasks for MLLMs EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents

Reference 121

Resolution: verified exact; arxiv_id, observed 2026-05-17T00:24:45.426358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 0275c72d-a767-486b-becb-64c8b9991453 · inbound

LLM-WikiRace Benchmark: How Far Can LLMs Plan over Real-World Knowledge Graphs? cites this paper.

LLM-WikiRace Benchmark: How Far Can LLMs Plan over Real-World Knowledge Graphs? EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-02T22:26:39.032152Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b1c5c87f-0953-4960-91d0-503c13e898c5 · inbound

MapTab: A Diagnostic Benchmark for Long-Horizon Multi-Criteria Multimodal Reasoning on Heterogeneous Topological Graphs cites this paper.

MapTab: A Diagnostic Benchmark for Long-Horizon Multi-Criteria Multimodal Reasoning on Heterogeneous Topological Graphs EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents

Reference 91

Resolution: verified exact; arxiv_id, observed 2026-05-17T00:24:45.426358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation cb1a712b-eeda-4722-a10e-094923d1432e · inbound

MapTab: A Diagnostic Benchmark for Long-Horizon Multi-Criteria Multimodal Reasoning on Heterogeneous Topological Graphs cites this paper.

Reference 91

Resolution: verified exact; local_arxiv, observed 2026-05-22T10:31:25.382916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e8579d2d-49ba-4eb7-b5a9-329f5edd818a · inbound

MapTab: A Diagnostic Benchmark for Long-Horizon Multi-Criteria Multimodal Reasoning on Heterogeneous Topological Graphs cites this paper.

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-02T22:00:12.003747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b79e4a07-6e16-4773-b3f8-617128355912 · inbound

Evaluation as Evolution: Transforming Adversarial Diffusion into Closed-Loop Curricula for Autonomous Vehicles cites this paper.

Evaluation as Evolution: Transforming Adversarial Diffusion into Closed-Loop Curricula for Autonomous Vehicles EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-17T00:24:45.426358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 941cf336-ccfb-4be9-8e3c-6ccd52b2dcf8 · inbound

Online Reasoning Video Object Segmentation cites this paper.

Online Reasoning Video Object Segmentation EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents

Reference 52

Resolution: metadata mismatch; arxiv_id, observed 2026-05-17T00:24:45.426358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 0c4c9b45-3d9f-4660-81e4-5f8065c3b317 · inbound

ESCAPE: Episodic Spatial Memory and Adaptive Execution Policy for Long-Horizon Mobile Manipulation cites this paper.

ESCAPE: Episodic Spatial Memory and Adaptive Execution Policy for Long-Horizon Mobile Manipulation EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents

Reference 43

Resolution: metadata mismatch; arxiv_id, observed 2026-05-17T00:24:45.426358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e4e02e69-4502-4cd0-a939-dcc4063492cc · inbound

MirrorBench: Evaluating Self-centric Intelligence in MLLMs by Introducing a Mirror cites this paper.

MirrorBench: Evaluating Self-centric Intelligence in MLLMs by Introducing a Mirror EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-17T00:24:45.426358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 9f71d0a8-205d-4d73-b998-9c77e60e71ee · inbound

BrainMem: Brain-Inspired Evolving Memory for Embodied Agent Task Planning cites this paper.

BrainMem: Brain-Inspired Evolving Memory for Embodied Agent Task Planning EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents

Reference 41

Resolution: metadata mismatch; arxiv_id, observed 2026-05-17T00:24:45.426358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a29bcb38-f12a-4216-bd2c-f3aeee16f432 · inbound

Chain Of Interaction Benchmark (COIN): When Reasoning meets Embodied Interaction cites this paper.

Chain Of Interaction Benchmark (COIN): When Reasoning meets Embodied Interaction EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-17T00:24:45.426358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation eac2dfab-431f-4838-84c8-48b4b5a2c81f · inbound

GaLa: Hypergraph-Guided Visual Language Models for Procedural Planning cites this paper.

GaLa: Hypergraph-Guided Visual Language Models for Procedural Planning EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents

Reference 16

Resolution: metadata mismatch; arxiv_id, observed 2026-05-17T00:24:45.426358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 55884cfe-fbf7-41af-a01c-d9a6181c63f4 · inbound

Environmental Understanding Vision-Language Model for Embodied Agent cites this paper.

Environmental Understanding Vision-Language Model for Embodied Agent EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-05-17T00:24:45.426358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 3389aba7-1e28-4e1d-aac3-d84a8eb2fd1f · inbound

Safactory: A Scalable Agentic Infrastructure for Training Trustworthy Autonomous Intelligence cites this paper.

Safactory: A Scalable Agentic Infrastructure for Training Trustworthy Autonomous Intelligence EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents

Reference 92

Resolution: verified exact; arxiv_id, observed 2026-05-17T00:24:45.426358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 2437dcb2-8887-46af-a3ac-3b02cdb6aefd · inbound

Safactory: A Scalable Agentic Infrastructure for Training Trustworthy Autonomous Intelligence cites this paper.

Reference 92

Resolution: verified exact; arxiv_id, observed 2026-05-17T00:24:45.426358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 5e155ef8-cdd4-4b86-8fb9-022f5a54d294 · inbound

MemCompiler: Compile, Don't Inject -- State-Conditioned Memory for Embodied Agents cites this paper.

MemCompiler: Compile, Don't Inject -- State-Conditioned Memory for Embodied Agents EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents

Reference 47

Resolution: verified exact; arxiv_id, observed 2026-05-17T00:24:45.426358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b37b9033-653c-4d26-b790-b11e552c08be · inbound

MemCompiler: Compile, Don't Inject -- State-Conditioned Memory for Embodied Agents cites this paper.

MemCompiler: Compile, Don't Inject -- State-Conditioned Memory for Embodied Agents EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents

Reference 47

Resolution: verified exact; arxiv_id, observed 2026-05-17T00:24:45.426358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 0246b88a-f056-425e-9c3f-0ac5c4bef107 · inbound

Done, But Not Sure: Disentangling World Completion from Self-Termination in Embodied Agents cites this paper.

Done, But Not Sure: Disentangling World Completion from Self-Termination in Embodied Agents EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-17T00:24:45.426358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 3bfa3d12-6d43-4469-bee3-b4bd9c966058 · inbound

Done, But Not Sure: Disentangling World Completion from Self-Termination in Embodied Agents cites this paper.

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-17T00:24:45.426358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 6ae12fb6-355e-4744-98df-f7c72b39cc31 · inbound

Done, But Not Sure: Disentangling World Completion from Self-Termination in Embodied Agents cites this paper.

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-17T00:24:45.426358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 33fd9655-e68a-4a65-b101-b72f71d2bb8b · inbound

SceneFunRI: Reasoning the Invisible for Task-Driven Functional Object Localization cites this paper.

SceneFunRI: Reasoning the Invisible for Task-Driven Functional Object Localization EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-17T00:24:45.426358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 3bfad6e8-56bb-4bb2-8fa6-a580031e4416 · inbound

CosFly-Track: A Large-Scale Multi-Modal Dataset for UAV Visual Tracking via Multi-Constraint Trajectory Optimization cites this paper.

CosFly-Track: A Large-Scale Multi-Modal Dataset for UAV Visual Tracking via Multi-Constraint Trajectory Optimization EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-05-20T11:23:14.211508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 0617a6c1-888f-49ab-9de0-57633cbab29f · inbound

CosFly-Track: A Large-Scale Multi-Modal Dataset for UAV Visual Tracking via Multi-Constraint Trajectory Optimization cites this paper.

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-05-21T09:04:04.596726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ea6908c6-e8a1-42ca-b176-5751481be93c · inbound

AtlasVA: Self-Evolving Visual Skill Memory for Teacher-Free VLM Agents cites this paper.

AtlasVA: Self-Evolving Visual Skill Memory for Teacher-Free VLM Agents EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents

Reference 51

Resolution: metadata mismatch; local_arxiv, observed 2026-05-20T11:28:14.479443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 2bed4e9a-b408-4a18-bcde-da92fcdf242c · inbound

DexHoldem: Playing Texas Hold'em with Dexterous Embodied System cites this paper.

DexHoldem: Playing Texas Hold'em with Dexterous Embodied System EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents

Reference 56

Resolution: verified exact; local_arxiv, observed 2026-05-20T09:43:11.119191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 572d38ee-4d2e-4dab-97d9-c762949e15f2 · inbound

WorldMemArena: Evaluating Multimodal Agent Memory Through Action-World Interaction cites this paper.

WorldMemArena: Evaluating Multimodal Agent Memory Through Action-World Interaction EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents

Reference 2

Resolution: metadata mismatch; local_arxiv, observed 2026-06-29T08:53:16.490784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e4c219b1-1b7e-43f8-8449-93a2d4a6f311 · inbound

OpenWebRL: Demystifying Online Multi-turn Reinforcement Learning for Visual Web Agents cites this paper.

OpenWebRL: Demystifying Online Multi-turn Reinforcement Learning for Visual Web Agents EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents

Reference 53

Resolution: verified exact; local_arxiv, observed 2026-07-01T22:06:16.401189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 45dda8e8-3acf-491b-b450-a7a1226d1c4c · inbound

Sample-Efficient Post-Training for LEGO Spatial-Physics Reasoning cites this paper.

Sample-Efficient Post-Training for LEGO Spatial-Physics Reasoning EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents

Reference 44

Resolution: metadata mismatch; local_arxiv, observed 2026-06-28T23:42:49.557377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 5541e0bd-d6fb-49d9-9bbf-de7e114fb2f1 · inbound

ChronoPhyBench: Do MLLMs Truly Understand the World or Merely Exploit Language Priors? cites this paper.

ChronoPhyBench: Do MLLMs Truly Understand the World or Merely Exploit Language Priors? EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents

Reference 34

Resolution: verified exact; local_arxiv, observed 2026-07-02T20:27:22.654943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e4bdfe65-5a21-4455-9f69-007194d073a2 · inbound

SpatialWorld: Benchmarking Interactive Spatial Reasoning of Multimodal Agents in Real-World Tasks cites this paper.

SpatialWorld: Benchmarking Interactive Spatial Reasoning of Multimodal Agents in Real-World Tasks EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents

Reference 82

Resolution: verified exact; local_arxiv, observed 2026-07-03T01:27:30.613186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 5fba39a7-eb8e-43a2-9743-d7a4f974a161 · inbound

Embodied-BenchClaw: An Autonomous Multi-Agent System for Embodied Spatial Intelligence Benchmark Construction cites this paper.

Embodied-BenchClaw: An Autonomous Multi-Agent System for Embodied Spatial Intelligence Benchmark Construction EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-07-03T10:48:02.874775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 77b3e495-0d87-411f-a1c9-1adb18b4b53b · inbound

InternVideo3: Agentify Foundation Models with Multimodal Contextual Reasoning cites this paper.

InternVideo3: Agentify Foundation Models with Multimodal Contextual Reasoning EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents

Reference 103

Resolution: metadata mismatch; local_arxiv, observed 2026-07-03T10:48:03.120025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d6be2457-669e-4684-8a08-77c73f53f3e0 · inbound

Intelligent Automation for Embodied Benchmark Construction: Pipelines, Embodiments, Simulators, and Trends cites this paper.

Intelligent Automation for Embodied Benchmark Construction: Pipelines, Embodiments, Simulators, and Trends EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents

Reference 43

Resolution: metadata mismatch; local_arxiv, observed 2026-07-03T11:58:05.940585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e5c0c01f-3b83-4292-8ff4-68cc6d9a4205 · inbound

GroundControl: Anticipating Navigation Failures in Vision-Language Agents via Trajectory-Consistent Uncertainty Estimates cites this paper.

GroundControl: Anticipating Navigation Failures in Vision-Language Agents via Trajectory-Consistent Uncertainty Estimates EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-07-04T04:09:34.272698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f773a281-2f9c-4f7e-a320-495ce06fbbb2 · inbound

MultiUAV-Plat: An LLM-Oriented Platform, Benchmark and Framework for Multi-UAV Collaborative Task Planning cites this paper.

MultiUAV-Plat: An LLM-Oriented Platform, Benchmark and Framework for Multi-UAV Collaborative Task Planning EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents

Reference 33

Resolution: metadata mismatch; local_arxiv, observed 2026-07-01T06:15:26.578752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation dbb92018-0b8a-4cb0-8eed-9f322a2f62f9 · inbound

Multi-scale Mixture of World Models for Embodied Agents in Evolving Environments cites this paper.

Multi-scale Mixture of World Models for Embodied Agents in Evolving Environments EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents

Reference 19

Resolution: metadata mismatch; local_arxiv, observed 2026-07-02T13:06:58.502976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ed3391f0-0627-4f70-ab1b-fd1ab6c758c0 · inbound

LLM Agents for Deliberative Collaboration: A Study on Joint Decision Making Under Partial Observability cites this paper.

LLM Agents for Deliberative Collaboration: A Study on Joint Decision Making Under Partial Observability EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents

Reference 174

Resolution: verified exact; local_arxiv, observed 2026-07-08T15:05:03.545431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 5b528198-cced-4cf0-9480-ec9bea17795a · inbound

Who&When Pro: Can LLMs Really Attribute Failures in AI Agents? cites this paper.

Who&When Pro: Can LLMs Really Attribute Failures in AI Agents? EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-14T01:10:44.920887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0de9766-8888-461b-9763-29a1d24acac7 · inbound

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory cites this paper.

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents

Reference 105

Resolution: unresolved; no resolver link, observed 2026-07-14T12:26:27.446079Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e922246-0a77-497f-8128-b5740718dd89 · inbound

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory cites this paper.

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents

Reference 105

Resolution: unresolved; no resolver link, observed 2026-08-02T07:21:35.065643Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44386acd-0f27-472c-9eb1-2b18717fd673 · inbound

Leveraging Trajectory Graphs for Pre-Execution Error Diagnosis in Agentic LLM Systems cites this paper.

Leveraging Trajectory Graphs for Pre-Execution Error Diagnosis in Agentic LLM Systems EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents

Reference 67

Resolution: unresolved; no resolver link, observed 2026-07-31T00:46:12.910645Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 437c2389-511d-4f3b-ada4-e114328adeaa · inbound

SafeNexus: Discovering and Steering Modality-Universal Safety Neurons in MLLMs cites this paper.

SafeNexus: Discovering and Steering Modality-Universal Safety Neurons in MLLMs EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-03T16:20:30.506056Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac8bf5ec-4b22-432b-bf15-3e24b956d6e0 · inbound

Long-Horizon Embodied Decision-Making via Multimodal Memory Compression cites this paper.

Long-Horizon Embodied Decision-Making via Multimodal Memory Compression EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-06T00:13:24.699600Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69fb0e21-b44b-4472-ac1b-fd15c76213df · inbound

Is Inter-Seed Cross-Play Enough? Evaluating the Robustness of Zero-Shot Coordination Algorithms to Implementation Details cites this paper.

Is Inter-Seed Cross-Play Enough? Evaluating the Robustness of Zero-Shot Coordination Algorithms to Implementation Details EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-05T15:25:39.444096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.