Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T20:24:08.254315Z
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 0 inbound Pith citation observations for arXiv:2502.09829.
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 2026-08-07T20:24:08.254315Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
52 of 52 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 26c6ca63-413b-481a-93ed-bf280aed8ed2 · outbound
Efficient Evaluation of Multi-Task Robot Policies With Active Experiment Selection Sim-to-real transfer for vision-and-language navigation
Reference 1
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Observation ed285a56-c073-4fc5-92c2-1360f2f1e3d6 · outbound
Efficient Evaluation of Multi-Task Robot Policies With Active Experiment Selection Con- trast sets for evaluating language-guided robot policies
Reference 2
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Observation a94521aa-8179-4cf4-a5a7-c1e53b0b35b7 · outbound
Efficient Evaluation of Multi-Task Robot Policies With Active Experiment Selection Remembr: Building and reasoning over long-horizon spatio-temporal memory for robot navigation
Reference 3
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Observation b6c14229-43af-4668-9123-170bb3a08b9d · outbound
Efficient Evaluation of Multi-Task Robot Policies With Active Experiment Selection Surrogate assisted generation of human-robot interaction scenarios
Reference 4
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Observation cc92b23e-6d74-4a9e-a3e9-948afe2cdf3c · outbound
Efficient Evaluation of Multi-Task Robot Policies With Active Experiment Selection Mixture density networks
Reference 5
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Observation db870277-d89b-4a27-89cc-73048e4422ed · outbound
Efficient Evaluation of Multi-Task Robot Policies With Active Experiment Selection $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control
Reference 6
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Observation f22198aa-5c07-48af-a897-8d3fffdc7860 · outbound
Efficient Evaluation of Multi-Task Robot Policies With Active Experiment Selection A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning
Reference 7
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Observation a89ec4cd-1752-49f3-9edd-5370b68f058a · outbound
Efficient Evaluation of Multi-Task Robot Policies With Active Experiment Selection A survey on evaluation of large language models
Reference 8
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Observation 7af56f50-e073-4895-9362-7eaeeb9e849c · outbound
Efficient Evaluation of Multi-Task Robot Policies With Active Experiment Selection Learning surrogate models for simulation-based opti- mization
Reference 9
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Observation 2559ab78-111d-49eb-900b-57a59fde8450 · outbound
Efficient Evaluation of Multi-Task Robot Policies With Active Experiment Selection RoboTHOR: An Open Simulation-to-Real Embodied AI Platform
Reference 10
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Observation 7cf5f8fa-e923-4c70-9727-6bfae3fff535 · outbound
Efficient Evaluation of Multi-Task Robot Policies With Active Experiment Selection Efficient benchmarking of hyper- parameter optimizers via surrogates
Reference 11
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Observation 55e5f08b-1cff-4d78-a5ab-059acbd87550 · outbound
Efficient Evaluation of Multi-Task Robot Policies With Active Experiment Selection Dropout as a bayesian approximation: Representing model uncertainty in deep learning
Reference 12
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Observation fadbd227-7ddb-47a9-b67b-8ce59014fc0e · outbound
Efficient Evaluation of Multi-Task Robot Policies With Active Experiment Selection Efficient Data Collection for Robotic Manipulation via Compositional Generalization
Reference 13
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Observation 663b53e1-19c5-4ca3-abaf-0fcec1a5f52b · outbound
Efficient Evaluation of Multi-Task Robot Policies With Active Experiment Selection Liu, Phoebe Mul- caire, Qiang Ning, Sameer Singh, Noah A
Reference 14
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Observation f9ebe5db-34ae-4c54-8d89-1eb480d460c8 · outbound
Efficient Evaluation of Multi-Task Robot Policies With Active Experiment Selection Navigating to objects in the real world
Reference 15
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Observation 7b9e03f1-767c-4715-9a1e-7908ecd69939 · outbound
Efficient Evaluation of Multi-Task Robot Policies With Active Experiment Selection Minillm: Knowledge distillation of large language mod- els
Reference 16
Source-reported events for the cited work
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Observation 40d46ed5-1ef9-438f-b1ce-3ad86553ddaa · outbound
Efficient Evaluation of Multi-Task Robot Policies With Active Experiment Selection World models
Reference 17
Source-reported events for the cited work
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Observation ae60c01c-38bb-4eab-bda8-933256a9e198 · outbound
Efficient Evaluation of Multi-Task Robot Policies With Active Experiment Selection Benchmarking neural network robustness to common corruptions and perturbations
Reference 18
Source-reported events for the cited work
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Observation 3c0329c7-1abc-44ab-923c-bd8c08fd8085 · outbound
Efficient Evaluation of Multi-Task Robot Policies With Active Experiment Selection Pretrained transformers improve out-of-distribution robustness
Reference 19
Source-reported events for the cited work
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Observation c923236e-2c6a-4d33-9749-448d587481be · outbound
Efficient Evaluation of Multi-Task Robot Policies With Active Experiment Selection Bayesian Active Learning for Classification and Preference Learning
Reference 20
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Observation 60d4b5d4-e7a8-4930-b747-99cbbc76109a · outbound
Efficient Evaluation of Multi-Task Robot Policies With Active Experiment Selection Deploying and Evaluating LLMs to Program Service Mobile Robots
Reference 21
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Observation fd54f599-94bd-4af1-a767-60d7402d995f · outbound
Efficient Evaluation of Multi-Task Robot Policies With Active Experiment Selection Sim2Real Predictivity: Does Evaluation in Simulation Predict Real- World Performance? IEEE Robotics and Automation Letters (RA-L), 2020
Reference 22
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Observation 0220736c-de73-4e23-a708-e1c0eed7aebe · outbound
Efficient Evaluation of Multi-Task Robot Policies With Active Experiment Selection Openvla: An open-source vision-language-action model
Reference 23
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Observation 7254eecc-6edb-4afd-b687-2409a6c5afb6 · outbound
Efficient Evaluation of Multi-Task Robot Policies With Active Experiment Selection Active testing: Sample-efficient model eval- uation
Reference 24
Source-reported events for the cited work
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Observation 345be716-df4f-4671-a31c-23085459e484 · outbound
Efficient Evaluation of Multi-Task Robot Policies With Active Experiment Selection Robot learn- ing as an empirical science: Best practices for policy evaluation
Reference 25
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Observation f273a139-e0bd-4c76-be64-b1bd2191dfd9 · outbound
Efficient Evaluation of Multi-Task Robot Policies With Active Experiment Selection Dropout injection at test time for post hoc uncertainty quantification in neural networks
Reference 26
Source-reported events for the cited work
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Observation b966978c-e2d1-485a-9ba5-56afc1409e74 · outbound
Efficient Evaluation of Multi-Task Robot Policies With Active Experiment Selection Cost-aware Bayesian Optimization
Reference 27
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Observation f9782aab-e785-462e-9e64-ba8d3e0c759b · outbound
Efficient Evaluation of Multi-Task Robot Policies With Active Experiment Selection Evaluating real-world robot manipulation policies in sim- ulation
Reference 28
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Observation e6f2b0d9-07de-42b5-b5a7-47db44b4efdd · outbound
Efficient Evaluation of Multi-Task Robot Policies With Active Experiment Selection Ham- ster: Hierarchical action models for open-world robot manipulation
Reference 29
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Observation b9cab6f8-e7db-4cfb-96e6-2392c58d760a · outbound
Efficient Evaluation of Multi-Task Robot Policies With Active Experiment Selection Holistic evaluation of language models
Reference 30
Source-reported events for the cited work
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Observation e4d9510a-19ce-4c7c-b63d-7146c9900ee1 · outbound
Efficient Evaluation of Multi-Task Robot Policies With Active Experiment Selection A general framework for uncertainty estimation in deep learning
Reference 31
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Observation ec8a53fe-460d-453b-9e82-7eda7d2072d0 · outbound
Efficient Evaluation of Multi-Task Robot Policies With Active Experiment Selection Probabilistic matrix factorization
Reference 32
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Observation 0510ec4a-e5a2-4c0a-8277-218380b6ea71 · outbound
Efficient Evaluation of Multi-Task Robot Policies With Active Experiment Selection Differential assessment of black-box ai agents
Reference 33
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Observation 8d361def-f9ec-4b91-bbb9-e2cf162c2127 · outbound
Efficient Evaluation of Multi-Task Robot Policies With Active Experiment Selection Octo: An open-source generalist robot policy
Reference 34
Source-reported events for the cited work
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Observation 485d3982-4785-4bc9-9df6-b9ca7e4476ac · outbound
Efficient Evaluation of Multi-Task Robot Policies With Active Experiment Selection Investigating the Role of Instruction Variety and Task Difficulty in Robotic Manipulation Tasks
Reference 35
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Observation 6485b935-0ae8-457b-b4bb-7a710568aac7 · outbound
Efficient Evaluation of Multi-Task Robot Policies With Active Experiment Selection Cost-aware bayesian optimization via information directed sampling
Reference 36
Source-reported events for the cited work
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Observation c4a3c133-140d-4825-a647-ecf73f7f4213 · outbound
Efficient Evaluation of Multi-Task Robot Policies With Active Experiment Selection THE COLOS- SEUM: A Benchmark for Evaluating Generalization for Robotic Manipulation
Reference 37
Source-reported events for the cited work
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Observation c1c848a8-6bb5-4efd-bc03-dc74cf668a9a · outbound
Efficient Evaluation of Multi-Task Robot Policies With Active Experiment Selection Building surrogate models based on detailed and approximate simulations
Reference 38
Source-reported events for the cited work
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Observation 5fcfeaf2-47ed-4286-8fa4-f33c7eec3645 · outbound
Efficient Evaluation of Multi-Task Robot Policies With Active Experiment Selection Modern bayesian experimental design
Reference 39
Source-reported events for the cited work
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Observation 7bb24d94-39b3-4b04-bf42-c0f64301c6d9 · outbound
Efficient Evaluation of Multi-Task Robot Policies With Active Experiment Selection Do imagenet classifiers generalize to imagenet? In International Conference on Machine Learning (ICML), 2019
Reference 40
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Observation 3baddab0-c4cb-423c-bb0a-c2b21ac47fdf · outbound
Efficient Evaluation of Multi-Task Robot Policies With Active Experiment Selection Active risk estimation
Reference 41
Source-reported events for the cited work
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Observation 35f8747c-1dc2-4f35-b18a-4273c8bf4a8f · outbound
Efficient Evaluation of Multi-Task Robot Policies With Active Experiment Selection Vint: A foundation model for visual navigation
Reference 42
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Observation 6e72152f-c96f-4b56-89ea-b38137f396d2 · outbound
Efficient Evaluation of Multi-Task Robot Policies With Active Experiment Selection Lm- nav: Robotic navigation with large pre-trained models of language, vision, and action
Reference 43
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Observation dc026d25-b7dd-4277-90d1-d17e9346d0c1 · outbound
Efficient Evaluation of Multi-Task Robot Policies With Active Experiment Selection Taking the human out of the loop: A review of bayesian optimization
Reference 44
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Observation 53efac60-5367-47f7-b1ca-6fe513fef398 · outbound
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Reference 45
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Observation fe7e84a9-ab7e-4e51-acb8-099f44cdbdb4 · outbound
Efficient Evaluation of Multi-Task Robot Policies With Active Experiment Selection Discovering user-interpretable capabilities of black-box planning agents
Reference 46
Source-reported events for the cited work
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Observation 899f423e-4ef5-44af-82b2-1b9f420132ad · outbound
Efficient Evaluation of Multi-Task Robot Policies With Active Experiment Selection Autonomous capability assessment of sequen- tial decision-making systems in stochastic settings
Reference 47
Source-reported events for the cited work
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Observation b8e12e8f-c18d-43fb-bbde-97d163b158a2 · outbound
Efficient Evaluation of Multi-Task Robot Policies With Active Experiment Selection How Generalizable Is My Behavior Cloning Policy? A Statis- tical Approach to Trustworthy Performance Evaluation
Reference 48
Source-reported events for the cited work
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Observation e85d0b1b-4eb4-4f05-8848-d96ae0fd9673 · outbound
Efficient Evaluation of Multi-Task Robot Policies With Active Experiment Selection CLINE: Contrastive Learning with Semantic Negative Examples for Natural Language Understanding
Reference 49
Source-reported events for the cited work
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Observation b65b5839-f159-4f26-a717-7a1f269544a3 · outbound
Efficient Evaluation of Multi-Task Robot Policies With Active Experiment Selection Decomposing the generalization gap in imitation learning for visual robotic manipulation
Reference 50
Source-reported events for the cited work
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Observation 27c5d9c3-fc00-4aff-b267-6a8fa47ed7a5 · outbound
Efficient Evaluation of Multi-Task Robot Policies With Active Experiment Selection Sample Efficient Model Evaluation
Reference 51
Source-reported events for the cited work
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Observation b321e13e-317e-4693-8189-37ef7d9bdfca · outbound
Efficient Evaluation of Multi-Task Robot Policies With Active Experiment Selection Meta- world: A benchmark and evaluation for multi-task and meta reinforcement learning
Reference 52
Source-reported events for the cited work
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No inbound Pith citation observations are available.