Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-10T17:51:10.878298Z
Paper Citation Record · LEDGER
As of 18 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 24 inbound Pith citation observations for arXiv:2501.11858.
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 2026-08-10T17:51:10.878298Z
One-hop event checks from named stored sources.
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Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T23:21:12.195994Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T11:58:05.933512Z
54 of 54 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 6f2fdf9e-e56b-4066-be58-83acf7ffb136 · outbound
EmbodiedEval: Evaluate Multimodal LLMs as Embodied Agents Unresolved cited work
Reference 1
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EmbodiedEval: Evaluate Multimodal LLMs as Embodied Agents MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models
Reference 2
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Observation 89862ea0-9674-4d5f-ab82-fb1c30dcca3f · outbound
EmbodiedEval: Evaluate Multimodal LLMs as Embodied Agents Unresolved cited work
Reference 3
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EmbodiedEval: Evaluate Multimodal LLMs as Embodied Agents Unresolved cited work
Reference 4
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EmbodiedEval: Evaluate Multimodal LLMs as Embodied Agents Kosmos-2: Grounding Multimodal Large Language Models to the World
Reference 5
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Observation b1c13fbd-a93b-45c7-84fb-e64c4ac73488 · outbound
EmbodiedEval: Evaluate Multimodal LLMs as Embodied Agents Unresolved cited work
Reference 6
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EmbodiedEval: Evaluate Multimodal LLMs as Embodied Agents In Proceed- ings of the IEEE Conference on Computer Vision and Pattern Recognition, pages 8317–8326
Reference 7
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EmbodiedEval: Evaluate Multimodal LLMs as Embodied Agents Gemini: A Family of Highly Capable Multimodal Models
Reference 8
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Observation 2b8cb7d0-07d8-4921-a211-f7887207917e · outbound
EmbodiedEval: Evaluate Multimodal LLMs as Embodied Agents Unresolved cited work
Reference 12
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EmbodiedEval: Evaluate Multimodal LLMs as Embodied Agents Unresolved cited work
Reference 13
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EmbodiedEval: Evaluate Multimodal LLMs as Embodied Agents Unresolved cited work
Reference 15
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EmbodiedEval: Evaluate Multimodal LLMs as Embodied Agents Unresolved cited work
Reference 17
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EmbodiedEval: Evaluate Multimodal LLMs as Embodied Agents Unresolved cited work
Reference 18
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EmbodiedEval: Evaluate Multimodal LLMs as Embodied Agents Unresolved cited work
Reference 19
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EmbodiedEval: Evaluate Multimodal LLMs as Embodied Agents Unresolved cited work
Reference 20
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EmbodiedEval: Evaluate Multimodal LLMs as Embodied Agents Imagine you’re a cat on the empty bookshelf
Reference 21
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EmbodiedEval: Evaluate Multimodal LLMs as Embodied Agents Unresolved cited work
Reference 22
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EmbodiedEval: Evaluate Multimodal LLMs as Embodied Agents Jump from the edge of the sofa armrest to the ground and finally enter through the balcony door
Reference 23
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EmbodiedEval: Evaluate Multimodal LLMs as Embodied Agents Walk on the top of the sofa back to the end
Reference 24
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EmbodiedEval: Evaluate Multimodal LLMs as Embodied Agents Unresolved cited work
Reference 25
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EmbodiedEval: Evaluate Multimodal LLMs as Embodied Agents Climb up the toilet and jump into the bathtub
Reference 26
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EmbodiedEval: Evaluate Multimodal LLMs as Embodied Agents Jump onto the armchair and then onto the windowsill to enter the balcony
Reference 27
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EmbodiedEval: Evaluate Multimodal LLMs as Embodied Agents Jump onto the armchair and then onto the windowsill to enter the balcony
Reference 28
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EmbodiedEval: Evaluate Multimodal LLMs as Embodied Agents Jump from the dining chair to the carpet
Reference 29
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EmbodiedEval: Evaluate Multimodal LLMs as Embodied Agents Unresolved cited work
Reference 30
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EmbodiedEval: Evaluate Multimodal LLMs as Embodied Agents Unresolved cited work
Reference 31
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EmbodiedEval: Evaluate Multimodal LLMs as Embodied Agents Unresolved cited work
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EmbodiedEval: Evaluate Multimodal LLMs as Embodied Agents Unresolved cited work
Reference 33
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EmbodiedEval: Evaluate Multimodal LLMs as Embodied Agents Unresolved cited work
Reference 34
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EmbodiedEval: Evaluate Multimodal LLMs as Embodied Agents Unresolved cited work
Reference 35
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EmbodiedEval: Evaluate Multimodal LLMs as Embodied Agents Unresolved cited work
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EmbodiedEval: Evaluate Multimodal LLMs as Embodied Agents Unresolved cited work
Reference 37
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EmbodiedEval: Evaluate Multimodal LLMs as Embodied Agents Enter the dining area and see if there is more than one door in the entire house
Reference 38
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EmbodiedEval: Evaluate Multimodal LLMs as Embodied Agents Unresolved cited work
Reference 39
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EmbodiedEval: Evaluate Multimodal LLMs as Embodied Agents Unresolved cited work
Reference 40
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EmbodiedEval: Evaluate Multimodal LLMs as Embodied Agents Unresolved cited work
Reference 41
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EmbodiedEval: Evaluate Multimodal LLMs as Embodied Agents Unresolved cited work
Reference 42
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EmbodiedEval: Evaluate Multimodal LLMs as Embodied Agents Unresolved cited work
Reference 43
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EmbodiedEval: Evaluate Multimodal LLMs as Embodied Agents Unresolved cited work
Reference 44
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EmbodiedEval: Evaluate Multimodal LLMs as Embodied Agents Unresolved cited work
Reference 45
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EmbodiedEval: Evaluate Multimodal LLMs as Embodied Agents Compare the colors of the carpet, the bedside table and the linen basket in the bedroom, and find the one that is most similar in color to the bed
Reference 46
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EmbodiedEval: Evaluate Multimodal LLMs as Embodied Agents The bedside table’s color is muted and most similar to the bed
Reference 47
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EmbodiedEval: Evaluate Multimodal LLMs as Embodied Agents The bedside table’s color is vibrant and most similar to the bed
Reference 48
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EmbodiedEval: Evaluate Multimodal LLMs as Embodied Agents The carpet’s color is muted and most similar to the bed
Reference 49
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EmbodiedEval: Evaluate Multimodal LLMs as Embodied Agents The carpet’s color is vibrant and most similar to the bed
Reference 50
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EmbodiedEval: Evaluate Multimodal LLMs as Embodied Agents The basket’s color is muted and most similar to the bed
Reference 51
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EmbodiedEval: Evaluate Multimodal LLMs as Embodied Agents The basket’s color is vibrant and most similar to the bed
Reference 52
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EmbodiedEval: Evaluate Multimodal LLMs as Embodied Agents Unresolved cited work
Reference 53
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EmbodiedEval: Evaluate Multimodal LLMs as Embodied Agents [Option␣Number].␣ Content
Reference 54
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EmbodiedEval: Evaluate Multimodal LLMs as Embodied Agents AI2-THOR: An Interactive 3D Environment for Visual AI
Reference 373
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EmbodiedEval: Evaluate Multimodal LLMs as Embodied Agents Stay on the Path: Instruction Fidelity in Vision-and-Language Navigation
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EmbodiedEval: Evaluate Multimodal LLMs as Embodied Agents pick up" action requires the tar- get object to be within sight and very close, the “wash
Reference 2021
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EmbodiedEval: Evaluate Multimodal LLMs as Embodied Agents PaLM-E: An Embodied Multimodal Language Model
Reference 2023
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EmbodiedEval: Evaluate Multimodal LLMs as Embodied Agents Explore until Confident: Efficient Exploration for Embodied Question Answering
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Reference 108
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Reference 22
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Reference 2013
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Reference 53
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Reference 31
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Reference 6
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Done, But Not Sure: Disentangling World Completion from Self-Termination in Embodied Agents EmbodiedEval: Evaluate Multimodal LLMs as Embodied Agents
Reference 9
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Done, But Not Sure: Disentangling World Completion from Self-Termination in Embodied Agents EmbodiedEval: Evaluate Multimodal LLMs as Embodied Agents
Reference 9
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Reference 3
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Artifact-Bench: Evaluating MLLMs on Detecting and Assessing the Artifacts of AI-Generated Videos EmbodiedEval: Evaluate Multimodal LLMs as Embodied Agents
Reference 6
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IntentionNav: A Benchmark for Intent-Driven Object Navigation from Implicit Human Instruction EmbodiedEval: Evaluate Multimodal LLMs as Embodied Agents
Reference 9
Source-reported events for the cited work
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Observation 4cc676b1-2f72-46a1-9140-b6a3be5cac7e · inbound
SpatialWorld: Benchmarking Interactive Spatial Reasoning of Multimodal Agents in Real-World Tasks EmbodiedEval: Evaluate Multimodal LLMs as Embodied Agents
Reference 12
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 266d5c4d-8a9e-4ab6-8c3c-5cdc71a9456e · inbound
A Practical Recipe Towards Improving Sim-and-Real Correlation for VLA Evaluation EmbodiedEval: Evaluate Multimodal LLMs as Embodied Agents
Reference 34
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 669ad96f-b1bf-4618-b052-6fc112548da0 · inbound
Intelligent Automation for Embodied Benchmark Construction: Pipelines, Embodiments, Simulators, and Trends EmbodiedEval: Evaluate Multimodal LLMs as Embodied Agents
Reference 42
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 1d6f3c31-61af-4bd1-b0dd-d73ac9868442 · inbound
AgentOdyssey: Open-Ended Long-Horizon Text Game Generation for Test-Time Continual Learning Agents EmbodiedEval: Evaluate Multimodal LLMs as Embodied Agents
Reference 9
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.