Paper Citation Record · LEDGER

Efficient Evaluation of Multi-Task Robot Policies With Active Experiment Selection

As of 23 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 1 inbound Pith citation observation for arXiv:2502.09829.

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

pith.paper-citation-record.v1
2502.09829 v1

Coverage vector

measured 52 of 52 reference resolution

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measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Reference resolution

52 of 52 outbound references displayed

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External citation measurements

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Outbound references

Observation 26c6ca63-413b-481a-93ed-bf280aed8ed2 · outbound

This paper cites Sim-to-real transfer for vision-and-language navigation.

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

This paper cites Con- trast sets for evaluating language-guided robot policies.

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

This paper cites Remembr: Building and reasoning over long-horizon spatio-temporal memory for robot navigation.

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

This paper cites Surrogate assisted generation of human-robot interaction scenarios.

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

This paper cites Mixture density networks.

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

This paper cites $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control.

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

This paper cites A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning.

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

This paper cites A survey on evaluation of large language models.

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

This paper cites Learning surrogate models for simulation-based opti- mization.

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

This paper cites RoboTHOR: An Open Simulation-to-Real Embodied AI Platform.

Efficient Evaluation of Multi-Task Robot Policies With Active Experiment Selection RoboTHOR: An Open Simulation-to-Real Embodied AI Platform

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:24:08.982018Z

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Observation 7cf5f8fa-e923-4c70-9727-6bfae3fff535 · outbound

This paper cites Efficient benchmarking of hyper- parameter optimizers via surrogates.

Efficient Evaluation of Multi-Task Robot Policies With Active Experiment Selection Efficient benchmarking of hyper- parameter optimizers via surrogates

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:24:08.964796Z

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Observation 55e5f08b-1cff-4d78-a5ab-059acbd87550 · outbound

This paper cites Dropout as a bayesian approximation: Representing model uncertainty in deep learning.

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

This paper cites Efficient Data Collection for Robotic Manipulation via Compositional Generalization.

Efficient Evaluation of Multi-Task Robot Policies With Active Experiment Selection Efficient Data Collection for Robotic Manipulation via Compositional Generalization

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:24:08.936588Z

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Observation 663b53e1-19c5-4ca3-abaf-0fcec1a5f52b · outbound

This paper cites Liu, Phoebe Mul- caire, Qiang Ning, Sameer Singh, Noah A.

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

This paper cites Navigating to objects in the real world.

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

This paper cites Minillm: Knowledge distillation of large language mod- els.

Efficient Evaluation of Multi-Task Robot Policies With Active Experiment Selection Minillm: Knowledge distillation of large language mod- els

Reference 16

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Observation 40d46ed5-1ef9-438f-b1ce-3ad86553ddaa · outbound

This paper cites World models.

Efficient Evaluation of Multi-Task Robot Policies With Active Experiment Selection World models

Reference 17

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Observation ae60c01c-38bb-4eab-bda8-933256a9e198 · outbound

This paper cites Benchmarking neural network robustness to common corruptions and perturbations.

Efficient Evaluation of Multi-Task Robot Policies With Active Experiment Selection Benchmarking neural network robustness to common corruptions and perturbations

Reference 18

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Observation 3c0329c7-1abc-44ab-923c-bd8c08fd8085 · outbound

This paper cites Pretrained transformers improve out-of-distribution robustness.

Efficient Evaluation of Multi-Task Robot Policies With Active Experiment Selection Pretrained transformers improve out-of-distribution robustness

Reference 19

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Observation c923236e-2c6a-4d33-9749-448d587481be · outbound

This paper cites Bayesian Active Learning for Classification and Preference Learning.

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

This paper cites Deploying and Evaluating LLMs to Program Service Mobile Robots.

Efficient Evaluation of Multi-Task Robot Policies With Active Experiment Selection Deploying and Evaluating LLMs to Program Service Mobile Robots

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:24:08.838641Z

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Observation fd54f599-94bd-4af1-a767-60d7402d995f · outbound

This paper cites Sim2Real Predictivity: Does Evaluation in Simulation Predict Real- World Performance? IEEE Robotics and Automation Letters (RA-L), 2020.

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

This paper cites Openvla: An open-source vision-language-action model.

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

This paper cites Active testing: Sample-efficient model eval- uation.

Efficient Evaluation of Multi-Task Robot Policies With Active Experiment Selection Active testing: Sample-efficient model eval- uation

Reference 24

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Observation 345be716-df4f-4671-a31c-23085459e484 · outbound

This paper cites Robot learn- ing as an empirical science: Best practices for policy evaluation.

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

This paper cites Dropout injection at test time for post hoc uncertainty quantification in neural networks.

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

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Observation b966978c-e2d1-485a-9ba5-56afc1409e74 · outbound

This paper cites Cost-aware Bayesian Optimization.

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

This paper cites Evaluating real-world robot manipulation policies in sim- ulation.

Efficient Evaluation of Multi-Task Robot Policies With Active Experiment Selection Evaluating real-world robot manipulation policies in sim- ulation

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:24:08.749435Z

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Observation e6f2b0d9-07de-42b5-b5a7-47db44b4efdd · outbound

This paper cites Ham- ster: Hierarchical action models for open-world robot manipulation.

Efficient Evaluation of Multi-Task Robot Policies With Active Experiment Selection Ham- ster: Hierarchical action models for open-world robot manipulation

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:24:08.735234Z

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Observation b9cab6f8-e7db-4cfb-96e6-2392c58d760a · outbound

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Efficient Evaluation of Multi-Task Robot Policies With Active Experiment Selection Holistic evaluation of language models

Reference 30

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Observation e4d9510a-19ce-4c7c-b63d-7146c9900ee1 · outbound

This paper cites A general framework for uncertainty estimation in deep learning.

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

This paper cites Probabilistic matrix factorization.

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

This paper cites Differential assessment of black-box ai agents.

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

This paper cites Octo: An open-source generalist robot policy.

Efficient Evaluation of Multi-Task Robot Policies With Active Experiment Selection Octo: An open-source generalist robot policy

Reference 34

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Observation 485d3982-4785-4bc9-9df6-b9ca7e4476ac · outbound

This paper cites Investigating the Role of Instruction Variety and Task Difficulty in Robotic Manipulation Tasks.

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

This paper cites Cost-aware bayesian optimization via information directed sampling.

Efficient Evaluation of Multi-Task Robot Policies With Active Experiment Selection Cost-aware bayesian optimization via information directed sampling

Reference 36

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Observation c4a3c133-140d-4825-a647-ecf73f7f4213 · outbound

This paper cites THE COLOS- SEUM: A Benchmark for Evaluating Generalization for Robotic Manipulation.

Efficient Evaluation of Multi-Task Robot Policies With Active Experiment Selection THE COLOS- SEUM: A Benchmark for Evaluating Generalization for Robotic Manipulation

Reference 37

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Observation c1c848a8-6bb5-4efd-bc03-dc74cf668a9a · outbound

This paper cites Building surrogate models based on detailed and approximate simulations.

Efficient Evaluation of Multi-Task Robot Policies With Active Experiment Selection Building surrogate models based on detailed and approximate simulations

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:24:08.596637Z

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Observation 5fcfeaf2-47ed-4286-8fa4-f33c7eec3645 · outbound

This paper cites Modern bayesian experimental design.

Efficient Evaluation of Multi-Task Robot Policies With Active Experiment Selection Modern bayesian experimental design

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:24:08.581857Z

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Observation 7bb24d94-39b3-4b04-bf42-c0f64301c6d9 · outbound

This paper cites Do imagenet classifiers generalize to imagenet? In International Conference on Machine Learning (ICML), 2019.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:24:08.567419Z

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Observation 3baddab0-c4cb-423c-bb0a-c2b21ac47fdf · outbound

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Efficient Evaluation of Multi-Task Robot Policies With Active Experiment Selection Active risk estimation

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:24:08.550901Z

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Observation 35f8747c-1dc2-4f35-b18a-4273c8bf4a8f · outbound

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Efficient Evaluation of Multi-Task Robot Policies With Active Experiment Selection Vint: A foundation model for visual navigation

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:24:08.535117Z

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Observation 6e72152f-c96f-4b56-89ea-b38137f396d2 · outbound

This paper cites Lm- nav: Robotic navigation with large pre-trained models of language, vision, and action.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:24:08.518129Z

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Observation dc026d25-b7dd-4277-90d1-d17e9346d0c1 · outbound

This paper cites Taking the human out of the loop: A review of bayesian optimization.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:24:08.502523Z

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Observation 53efac60-5367-47f7-b1ca-6fe513fef398 · outbound

This paper cites Targeted active learning for probabilistic models.

Efficient Evaluation of Multi-Task Robot Policies With Active Experiment Selection Targeted active learning for probabilistic models

Reference 45

Resolution: verified exact; local_arxiv, observed 2026-08-07T20:24:08.321102Z

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Observation fe7e84a9-ab7e-4e51-acb8-099f44cdbdb4 · outbound

This paper cites Discovering user-interpretable capabilities of black-box planning agents.

Efficient Evaluation of Multi-Task Robot Policies With Active Experiment Selection Discovering user-interpretable capabilities of black-box planning agents

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:24:08.486723Z

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Observation 899f423e-4ef5-44af-82b2-1b9f420132ad · outbound

This paper cites Autonomous capability assessment of sequen- tial decision-making systems in stochastic settings.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:24:08.469447Z

Source-reported events for the cited work

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Observation b8e12e8f-c18d-43fb-bbde-97d163b158a2 · outbound

This paper cites How Generalizable Is My Behavior Cloning Policy? A Statis- tical Approach to Trustworthy Performance Evaluation.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:24:08.452435Z

Source-reported events for the cited work

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Observation e85d0b1b-4eb4-4f05-8848-d96ae0fd9673 · outbound

This paper cites CLINE: Contrastive Learning with Semantic Negative Examples for Natural Language Understanding.

Efficient Evaluation of Multi-Task Robot Policies With Active Experiment Selection CLINE: Contrastive Learning with Semantic Negative Examples for Natural Language Understanding

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:24:08.436050Z

Source-reported events for the cited work

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Observation b65b5839-f159-4f26-a717-7a1f269544a3 · outbound

This paper cites Decomposing the generalization gap in imitation learning for visual robotic manipulation.

Efficient Evaluation of Multi-Task Robot Policies With Active Experiment Selection Decomposing the generalization gap in imitation learning for visual robotic manipulation

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:24:08.419828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 27c5d9c3-fc00-4aff-b267-6a8fa47ed7a5 · outbound

This paper cites Sample Efficient Model Evaluation.

Efficient Evaluation of Multi-Task Robot Policies With Active Experiment Selection Sample Efficient Model Evaluation

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-07T20:24:08.248881Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b321e13e-317e-4693-8189-37ef7d9bdfca · outbound

This paper cites Meta- world: A benchmark and evaluation for multi-task and meta reinforcement learning.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:24:08.403255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Pith citing papers

Observation af482dac-a339-45dc-8ba8-3eb3f78cb76b · inbound

Guiding Data Collection via Factored Scaling Curves cites this paper.

Guiding Data Collection via Factored Scaling Curves Efficient Evaluation of Multi-Task Robot Policies With Active Experiment Selection

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-08-15T22:15:35.412151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.