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Paper Citation Record · LEDGER

Steering Robots with Inference-Time Interactions

As of 7 August 2026, this Paper Citation Record lists 100 of 169 outbound references and 0 inbound Pith citation observations for arXiv:2506.14287.

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

pith.paper-citation-record.v1
2506.14287 v1

Coverage vector

measured 100 of 169 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:26:31.010817Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 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

100 of 169 outbound references displayed

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  • verified fuzzy0
  • unresolved97
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  • malformed identifier0
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Outbound references

Observation c957d5ad-13f0-49c5-be6d-951b7a4edd41 · outbound

This paper cites A survey of robot learning from demonstration.

Steering Robots with Inference-Time Interactions A survey of robot learning from demonstration

Reference 1

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Observation 3b368c55-cf0b-4752-9915-9ced73ee5863 · outbound

This paper cites Diffusion Policy: Visuomotor Policy Learning via Action Diffusion.

Steering Robots with Inference-Time Interactions Diffusion Policy: Visuomotor Policy Learning via Action Diffusion

Reference 2

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Observation a66827ba-7e8c-4ba7-9fae-d60afc7143c2 · outbound

This paper cites Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware.

Steering Robots with Inference-Time Interactions Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware

Reference 3

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Observation d3e9cedb-d6f4-41ba-8970-f78c217e01a7 · outbound

This paper cites Bc-z: Zero-shot task generalization with robotic imitation learning.

Steering Robots with Inference-Time Interactions Bc-z: Zero-shot task generalization with robotic imitation learning

Reference 4

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Observation d6e35ede-df2d-4ef5-a03d-8a7363327d20 · outbound

This paper cites Open X-Embodiment: Robotic Learning Datasets and RT-X Models.

Steering Robots with Inference-Time Interactions Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Reference 5

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Observation c683c990-0855-4e5a-b95f-4eb11e364278 · outbound

This paper cites On the Opportunities and Risks of Foundation Models.

Steering Robots with Inference-Time Interactions On the Opportunities and Risks of Foundation Models

Reference 6

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Observation e99a479d-5196-4c46-a54d-92355764f016 · outbound

This paper cites RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control.

Steering Robots with Inference-Time Interactions RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control

Reference 7

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Observation 98fe681d-e26e-44c6-9ecb-215b8387409f · outbound

This paper cites OpenVLA: An Open-Source Vision-Language-Action Model.

Steering Robots with Inference-Time Interactions OpenVLA: An Open-Source Vision-Language-Action Model

Reference 8

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Observation fcca2d56-e2a2-42c1-a0b0-6135a07b7203 · outbound

This paper cites Embodied Red Teaming for Auditing Robotic Foundation Models.

Steering Robots with Inference-Time Interactions Embodied Red Teaming for Auditing Robotic Foundation Models

Reference 9

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Observation 96086792-3d90-4210-9be9-b63b80204eea · outbound

This paper cites Interactive language: Talking to robots in real time.

Steering Robots with Inference-Time Interactions Interactive language: Talking to robots in real time

Reference 10

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source=pdf_text observed=2026-08-07T00:26:24.300763Z digest=sha256:74e1e7110597a8f4de2a7c13024901592a55e823ac89ed20e8ba2cfbf68ee546

Observation 23987a73-1abf-4d35-9620-56c74a158ed0 · outbound

This paper cites Yell At Your Robot: Improving On-the-Fly from Language Corrections.

Steering Robots with Inference-Time Interactions Yell At Your Robot: Improving On-the-Fly from Language Corrections

Reference 11

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Observation a1da3d2b-b09e-4b05-bda4-49525d248e9d · outbound

This paper cites Formalizing assistive teleoperation.

Steering Robots with Inference-Time Interactions Formalizing assistive teleoperation

Reference 12

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Observation 19a7091d-f929-4548-8ece-02e006f3ae8b · outbound

This paper cites Human-in-the-loop optimization of shared autonomy in assistive robotics.

Steering Robots with Inference-Time Interactions Human-in-the-loop optimization of shared autonomy in assistive robotics

Reference 13

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Observation b879c958-ef49-4bda-a04f-28551e4a07de · outbound

This paper cites Preference learning in assistive robotics: Observational repeated inverse reinforcement learning.

Steering Robots with Inference-Time Interactions Preference learning in assistive robotics: Observational repeated inverse reinforcement learning

Reference 14

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Observation 27d0673c-170f-4d63-a37b-d5833ac281eb · outbound

This paper cites Inference-time intervention: Eliciting truthful answers from a language model.

Steering Robots with Inference-Time Interactions Inference-time intervention: Eliciting truthful answers from a language model

Reference 15

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Observation e8fcf317-c7e9-461e-8581-be705da093fd · outbound

This paper cites Diagnosis, feedback, adaptation: A human-in-the-loop framework for test-time policy adaptation.

Steering Robots with Inference-Time Interactions Diagnosis, feedback, adaptation: A human-in-the-loop framework for test-time policy adaptation

Reference 16

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Observation 5c9cf636-220d-4e52-b5ad-886b3f6632fa · outbound

This paper cites Self-Supervised Policy Adaptation during Deployment.

Steering Robots with Inference-Time Interactions Self-Supervised Policy Adaptation during Deployment

Reference 17

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source=pdf_text observed=2026-08-07T00:26:25.133611Z digest=sha256:7b5f0bcd31bc3d3207b4b7459b92c5317a4f31459242ebcfa62c8ea893f5baed

Observation d2d440cf-f842-4f4b-9f1d-9046e9d1a7ce · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Steering Robots with Inference-Time Interactions LoRA: Low-Rank Adaptation of Large Language Models

Reference 18

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source=pdf_text observed=2026-08-07T00:26:25.203217Z digest=sha256:f52b967c3da510ebdee4026908aebb052bd015bd0f792e1eb88234b9f9eae511

Observation 182fcd12-87b6-4466-a34e-e12e3b8b206c · outbound

This paper cites Inference-Time Policy Adapters (IPA): Tailoring Extreme-Scale LMs without Fine-tuning.

Steering Robots with Inference-Time Interactions Inference-Time Policy Adapters (IPA): Tailoring Extreme-Scale LMs without Fine-tuning

Reference 19

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Observation 3686d3e9-81c9-4b9d-aacf-50862387166b · outbound

This paper cites Efficiently Guiding Imitation Learning Agents with Human Gaze.

Steering Robots with Inference-Time Interactions Efficiently Guiding Imitation Learning Agents with Human Gaze

Reference 20

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source=pdf_text observed=2026-08-07T00:26:25.387899Z digest=sha256:9ed46535e7f42ef821654dc18b3a22b57219d79046763cc4d447e8ba8f0f6d8a

Observation 5f65114e-74fc-4c48-86e3-f76bc800b13b · outbound

This paper cites Leveraging Haptic Feedback to Improve Data Quality and Quantity for Deep Imitation Learning Models.

Steering Robots with Inference-Time Interactions Leveraging Haptic Feedback to Improve Data Quality and Quantity for Deep Imitation Learning Models

Reference 21

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Observation 39e90e48-3e82-49e8-a13c-2a4a88740ee4 · outbound

This paper cites A reduction of imitation learning and structured prediction to no-regret online learning.

Steering Robots with Inference-Time Interactions A reduction of imitation learning and structured prediction to no-regret online learning

Reference 22

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Observation 534ab442-d9a5-4434-a9a4-64c27b132625 · outbound

This paper cites Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation.

Steering Robots with Inference-Time Interactions Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation

Reference 23

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Observation 3b1d61ae-0ffc-479c-a5f7-18ade04edda0 · outbound

This paper cites Multi-Modal Imitation Learning from Unstructured Demonstrations using Generative Adversarial Nets.

Steering Robots with Inference-Time Interactions Multi-Modal Imitation Learning from Unstructured Demonstrations using Generative Adversarial Nets

Reference 24

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Observation 1eefb1a5-f495-47bc-ac72-046acc27cac7 · outbound

This paper cites Multi-modal motion planning in non-expansive spaces.

Steering Robots with Inference-Time Interactions Multi-modal motion planning in non-expansive spaces

Reference 25

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source=pdf_text observed=2026-08-07T00:26:25.844834Z digest=sha256:87b1c3f9ad1ec44e71721f85a29bc766f9590a16b4b29fd10955714d6e48b001

Observation 6aa6875f-8455-4c89-b94d-5f027a33dcc9 · outbound

This paper cites Learning to switch between sensorimotor primitives using multimodal haptic signals.

Steering Robots with Inference-Time Interactions Learning to switch between sensorimotor primitives using multimodal haptic signals

Reference 26

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Observation 831fb736-5620-4a4c-9e60-1dbc5449d6b0 · outbound

This paper cites Diffusion Models Beat GANs on Image Synthesis.

Steering Robots with Inference-Time Interactions Diffusion Models Beat GANs on Image Synthesis

Reference 27

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Observation bb71404e-c929-4345-a1c0-4b81c15d40cc · outbound

This paper cites Inference-Time Policy Steering through Human Interactions.

Steering Robots with Inference-Time Interactions Inference-Time Policy Steering through Human Interactions

Reference 28

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Observation 59671568-40a5-448c-bc1a-4f9762b159c1 · outbound

This paper cites Is Conditional Generative Modeling all you need for Decision-Making?.

Steering Robots with Inference-Time Interactions Is Conditional Generative Modeling all you need for Decision-Making?

Reference 29

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Observation 97b509e6-763c-4289-8c2f-fa569434b638 · outbound

This paper cites Dynamical movement primitives: learning attractor models for motor behaviors.

Steering Robots with Inference-Time Interactions Dynamical movement primitives: learning attractor models for motor behaviors

Reference 30

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source=pdf_text observed=2026-08-07T00:26:26.309818Z digest=sha256:17fd5a36f5df011ef8364ccddd93d67af9053ec6f0e043de8a3a74545f1be6ff

Observation c25cede5-4bf9-42b3-9433-c00689a854a0 · outbound

This paper cites Dart: Noise injection for robust imitation learning.

Steering Robots with Inference-Time Interactions Dart: Noise injection for robust imitation learning

Reference 31

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Observation 78c9e8e9-cce0-4bd1-9209-2de0a4c41617 · outbound

This paper cites Watch and Match: Supercharging Imitation with Regularized Optimal Transport.

Steering Robots with Inference-Time Interactions Watch and Match: Supercharging Imitation with Regularized Optimal Transport

Reference 32

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Observation d0f90348-81ee-4cf5-bc2f-b853ab24ed97 · outbound

This paper cites Learning stable nonlinear dynamical systems with gaussian mixture models.

Steering Robots with Inference-Time Interactions Learning stable nonlinear dynamical systems with gaussian mixture models

Reference 33

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Observation ae364ed2-0261-4757-8ddd-e05523aa65a0 · outbound

This paper cites Learning robot objectives from physical human interaction.

Steering Robots with Inference-Time Interactions Learning robot objectives from physical human interaction

Reference 34

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source=pdf_text observed=2026-08-07T00:26:26.612965Z digest=sha256:594df8b82e88a1783c66d6885d5e37145ab636b2eb1fd1b96d2a0706d74a591c

Observation bdebba31-ed35-4024-9700-19dc1754b72a · outbound

This paper cites APhysically-ConsistentBayesianNon-ParametricMixture Model for Dynamical System Learning.

Steering Robots with Inference-Time Interactions APhysically-ConsistentBayesianNon-ParametricMixture Model for Dynamical System Learning

Reference 35

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Observation 7f4f7436-0622-47e1-a394-d02141e5893e · outbound

This paper cites Integrated Task and Motion Planning.

Steering Robots with Inference-Time Interactions Integrated Task and Motion Planning

Reference 36

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source=pdf_text observed=2026-08-07T00:26:26.775006Z digest=sha256:43c382da60ac9fb1462518312f5c99af42b69d968ae2dd1bf3a763dfe831f804

Observation 227b5329-9d2d-4e06-b670-a2cf0cd6222b · outbound

This paper cites Synthesis for robots: Guarantees and feedback for robot behavior.

Steering Robots with Inference-Time Interactions Synthesis for robots: Guarantees and feedback for robot behavior

Reference 37

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source=pdf_text observed=2026-08-07T00:26:26.861679Z digest=sha256:912bd1e73e917d4ab3567403e5842df9767c8df182bcf2dae56ed832c4a961fe

Observation 483e8f14-2316-4844-aceb-0b10fa67198f · outbound

This paper cites Guided imitation of task and motion planning.

Steering Robots with Inference-Time Interactions Guided imitation of task and motion planning

Reference 38

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source=pdf_text observed=2026-08-07T00:26:26.929508Z digest=sha256:b85bf1a10d4c66426270d01ddced83dcf1795ebc5fc24b933bc32b19bafdd7c0

Observation 5d554747-4efb-4d96-848d-4cdd619dd169 · outbound

This paper cites Imitating Task and Motion Planning with Visuomotor Transformers.

Steering Robots with Inference-Time Interactions Imitating Task and Motion Planning with Visuomotor Transformers

Reference 39

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Observation 1c9600e2-67cd-4efc-8cfc-b0cc0c7deb46 · outbound

This paper cites Temporal Logic Imitation: Learning Plan-Satisficing Motion Policies from Demonstrations.

Steering Robots with Inference-Time Interactions Temporal Logic Imitation: Learning Plan-Satisficing Motion Policies from Demonstrations

Reference 40

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Observation 0683d9ec-d8d4-4314-aea0-c27e6de8786a · outbound

This paper cites Grounding predicates through actions.

Steering Robots with Inference-Time Interactions Grounding predicates through actions

Reference 41

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Observation f42850ae-edab-4483-b075-29cd7ecd9e9a · outbound

This paper cites Grounding Language Plans in Demonstrations Through Counterfactual Perturbations.

Steering Robots with Inference-Time Interactions Grounding Language Plans in Demonstrations Through Counterfactual Perturbations

Reference 42

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Observation 9fb17736-4215-400c-9f0f-f9293a910065 · outbound

This paper cites An algorithmic perspective on imitation learning.

Steering Robots with Inference-Time Interactions An algorithmic perspective on imitation learning

Reference 43

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source=pdf_text observed=2026-08-07T00:26:27.456418Z digest=sha256:1bc4aad075e02278f1307aae4f17b2bcaa736aa3dec86d6a692bafefac5d6202

Observation a04b9f66-008a-4880-a6a2-dd5d71d6c3f7 · outbound

This paper cites Octo: An Open-Source Generalist Robot Policy.

Steering Robots with Inference-Time Interactions Octo: An Open-Source Generalist Robot Policy

Reference 44

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source=pdf_text observed=2026-08-07T00:26:27.566125Z digest=sha256:ca3a6f37d0d7987c5c67284a8295114502f823c3fe8b88a5e8ec30190aaeb6b4

Observation ab0addb7-b469-4229-ac0d-4529b185c97e · outbound

This paper cites Deep Generative Models in Robotics: A Survey on Learning from Multimodal Demonstrations.

Steering Robots with Inference-Time Interactions Deep Generative Models in Robotics: A Survey on Learning from Multimodal Demonstrations

Reference 45

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source=pdf_text observed=2026-08-07T00:26:27.678527Z digest=sha256:fdd2819de5be0b978878c44f462cacdebf7ad532eb5a7c1ef87b8858eae6d8f3

Observation 28a4ea52-c052-4758-aa5d-98be954d85c6 · outbound

This paper cites RT-Trajectory: Robotic Task Generalization via Hindsight Trajectory Sketches.

Steering Robots with Inference-Time Interactions RT-Trajectory: Robotic Task Generalization via Hindsight Trajectory Sketches

Reference 46

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source=pdf_text observed=2026-08-07T00:26:27.797591Z digest=sha256:4075e0c4a06f57f47fa4cf2beb1fbce08e6fec9001b784657d193f6ea428a4fd

Observation 54f1cb54-cf34-4dc6-ae0a-6e9853c21644 · outbound

This paper cites A point-and-click interface for the real world: laser designation of objects for mobile manipulation.

Steering Robots with Inference-Time Interactions A point-and-click interface for the real world: laser designation of objects for mobile manipulation

Reference 47

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source=pdf_text observed=2026-08-07T00:26:27.859294Z digest=sha256:1b8f9c716a6e899e2be51a3d7dc82c1ef2043a800e78a99d5183edaa5dc653d5

Observation 29c90f07-f822-4253-8445-a795f750d4a1 · outbound

This paper cites A review of intent detection, arbitration, and communication aspects of shared control for physical human–robot interaction.

Steering Robots with Inference-Time Interactions A review of intent detection, arbitration, and communication aspects of shared control for physical human–robot interaction

Reference 48

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source=pdf_text observed=2026-08-07T00:26:27.951341Z digest=sha256:5ddb6f270e01a54f4a5aa9561894f58131a182f3ac86046886d0666cb5a8c4c7

Observation 66ec351c-daf1-440d-a7ed-f8912766ee95 · outbound

This paper cites Physical interaction as communication: Learning robot objectives online from human corrections.

Steering Robots with Inference-Time Interactions Physical interaction as communication: Learning robot objectives online from human corrections

Reference 49

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source=pdf_text observed=2026-08-07T00:26:28.084470Z digest=sha256:80ddb142cfd83385de59644bab2a309c5167aa820cd9d573dc1b64236a82a95f

Observation eab31a09-ea95-4ddb-9eb5-c7f8d77c48a2 · outbound

This paper cites Billard, S.

Steering Robots with Inference-Time Interactions Billard, S

Reference 50

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source=pdf_text observed=2026-08-07T00:26:28.218499Z digest=sha256:e7d80b97a1a7d601ce040fc03e36d71aa8db0d272ec387da7251535cd7f4d396

Observation f27e4959-8840-4a85-8744-9f5d17846632 · outbound

This paper cites Planning with Diffusion for Flexible Behavior Synthesis.

Steering Robots with Inference-Time Interactions Planning with Diffusion for Flexible Behavior Synthesis

Reference 51

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Observation 484b8c9e-0d86-4c59-bd7e-6668ea18e6d1 · outbound

This paper cites Efficient Trajectory Forecasting and Generation with Conditional Flow Matching.

Steering Robots with Inference-Time Interactions Efficient Trajectory Forecasting and Generation with Conditional Flow Matching

Reference 52

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source=pdf_text observed=2026-08-07T00:26:28.408361Z digest=sha256:93eabcd117a6c55bb5b948d230d0b176eda43f59c93e8eef31f211593c39b3a8

Observation 0687029f-4546-4d4d-a615-1607a25694e1 · outbound

This paper cites Reduce, reuse, recycle: Compositional generation with energy-based diffusion models and mcmc.

Steering Robots with Inference-Time Interactions Reduce, reuse, recycle: Compositional generation with energy-based diffusion models and mcmc

Reference 53

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source=pdf_text observed=2026-08-07T00:26:28.518676Z digest=sha256:28702bd7f7e0c6bb018580bc34a4edd69b09748c5379e8552cbb50b1b410a292

Observation 2fe3715b-9644-414d-a19b-6bca712d92b7 · outbound

This paper cites Dynamic time warping.

Steering Robots with Inference-Time Interactions Dynamic time warping

Reference 54

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source=pdf_text observed=2026-08-07T00:26:28.639552Z digest=sha256:b5a545cf4cf4fc93d15ae52e84e74a478bea4115412f466bddba8f21a94f581d

Observation 2703e86f-1b2f-4987-9982-c2883870fc9f · outbound

This paper cites To the Noise and Back: Diffusion for Shared Autonomy.

Steering Robots with Inference-Time Interactions To the Noise and Back: Diffusion for Shared Autonomy

Reference 55

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source=pdf_text observed=2026-08-07T00:26:28.758503Z digest=sha256:098e06c44db3b09ac0972c45b4f4ef304b8f9bd1cf356a2ce939ffa024e66dd3

Observation bd219c0d-48ed-4b6c-8719-6d022085273a · outbound

This paper cites seaborn: statistical data visualization.

Steering Robots with Inference-Time Interactions seaborn: statistical data visualization

Reference 56

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source=pdf_text observed=2026-08-07T00:26:28.855863Z digest=sha256:124507a25c04570335cb21cb6547463db2c6b3b5a34c83312f886a5019b0fa13

Observation a1700f57-3348-47ce-aae4-4d7218ff6a96 · outbound

This paper cites D4RL: Datasets for Deep Data-Driven Reinforcement Learning.

Steering Robots with Inference-Time Interactions D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 57

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source=pdf_text observed=2026-08-07T00:26:29.054790Z digest=sha256:22add8c7b35aaeef9b81b177af79f383c88759c29ba96a2507f9a72506b42d28

Observation a990b3dd-533d-432a-a201-48f13dc36f2b · outbound

This paper cites Denoising Diffusion Implicit Models.

Steering Robots with Inference-Time Interactions Denoising Diffusion Implicit Models

Reference 58

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source=pdf_text observed=2026-08-07T00:26:29.238325Z digest=sha256:196ba089b52e51ced7ebbe3d38ca268d0a0c341f56f761086fa4a4603ed44a3e

Observation 803c82a6-5f2d-4298-a97e-daad8d4a69c0 · outbound

This paper cites Orbit: A Unified Simulation Framework for Interactive Robot Learning Environments.

Steering Robots with Inference-Time Interactions Orbit: A Unified Simulation Framework for Interactive Robot Learning Environments

Reference 59

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Observation 2a85d113-1ba3-4c63-8144-f99cb586a037 · outbound

This paper cites Curobo: Parallelized collision-free robot motion generation.

Steering Robots with Inference-Time Interactions Curobo: Parallelized collision-free robot motion generation

Reference 60

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source=pdf_text observed=2026-08-07T00:26:29.539826Z digest=sha256:391ea71ad67211e4a9741b818f60084954a16ca7f641a4352960eb73d0251f1d

Observation 6caaa282-8839-4450-8567-1271f67de22e · outbound

This paper cites Building a multimodal human-robot interface.

Steering Robots with Inference-Time Interactions Building a multimodal human-robot interface

Reference 61

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source=pdf_text observed=2026-08-07T00:26:29.672974Z digest=sha256:dd1dd0460ef41274784c960872c2d45721cb071b34e2ba5f68fc229522fbb330

Observation c5cf1303-e18d-4c4a-b3cd-a61a0bae1edd · outbound

This paper cites Review of interfaces for industrial human-robot interaction.

Steering Robots with Inference-Time Interactions Review of interfaces for industrial human-robot interaction

Reference 62

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source=pdf_text observed=2026-08-07T00:26:29.878177Z digest=sha256:c05706cc3f1bb57d364a38934b11a5d0e8530efda8d25a89b31928d31f3b6f82

Observation 4fdc5039-e6e0-41ed-a5a9-c63f8d45dcd7 · outbound

This paper cites Do as i can, not as i say: Grounding language in robotic affordances.

Steering Robots with Inference-Time Interactions Do as i can, not as i say: Grounding language in robotic affordances

Reference 63

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source=pdf_text observed=2026-08-07T00:26:30.015098Z digest=sha256:840d65825c987c993f367bb9e3a36e52e39e2ec7ed3de7fce0e9d0f5af35cd54

Observation 3438be94-527e-47f2-85ca-b8492034eb2f · outbound

This paper cites RT-Sketch: Goal-Conditioned Imitation Learning from Hand-Drawn Sketches.

Steering Robots with Inference-Time Interactions RT-Sketch: Goal-Conditioned Imitation Learning from Hand-Drawn Sketches

Reference 64

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source=pdf_text observed=2026-08-07T00:26:30.155040Z digest=sha256:085ac3435c1c8be32e7e0d1daebb51206554fb1ca571d0db02eaa0e54fa30fc4

Observation 42498fff-21df-4e01-b218-a82d9f78fa3f · outbound

This paper cites Goal-conditionedimitationlearning.

Steering Robots with Inference-Time Interactions Goal-conditionedimitationlearning

Reference 65

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source=pdf_text observed=2026-08-07T00:26:30.337447Z digest=sha256:5d672d6a85199822842b64ee7e1d948d621f3a194c4085b989224c5cd4c6d1a0

Observation 12cba973-3c7d-4b23-ada3-eb2b1c6aab6c · outbound

This paper cites What matters in language conditioned robotic imitation learning over unstructured data.

Steering Robots with Inference-Time Interactions What matters in language conditioned robotic imitation learning over unstructured data

Reference 66

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source=pdf_text observed=2026-08-07T00:26:30.454838Z digest=sha256:30d7ea4bdc8ea5b79154f041842e4a97b5a272880d350dbca6f28037ed2d77b6

Observation 17793b9d-2927-440e-a4e9-8d9fd3fc46d6 · outbound

This paper cites Diffusion co-policy for synergistic human-robot collaborative tasks.

Steering Robots with Inference-Time Interactions Diffusion co-policy for synergistic human-robot collaborative tasks

Reference 67

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source=pdf_text observed=2026-08-07T00:26:30.579034Z digest=sha256:0d809b5263b8fb065fd623987a6d293cd5f1cdad63ef0356e179bf4b799deb29

Observation 33c1ad64-c917-46b3-8e04-e4ffb27070b7 · outbound

This paper cites Behavior Generation with Latent Actions.

Steering Robots with Inference-Time Interactions Behavior Generation with Latent Actions

Reference 68

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source=pdf_text observed=2026-08-07T00:26:30.723860Z digest=sha256:400a571924616786b3b6f50c341a355af596a50030cf2c31e61fbe8d634bffb2

Observation b83e723b-bcd2-4618-8f07-580ff6965e8e · outbound

This paper cites Compositional visual generation with composable diffusion models.

Steering Robots with Inference-Time Interactions Compositional visual generation with composable diffusion models

Reference 69

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source=pdf_text observed=2026-08-07T00:26:30.822430Z digest=sha256:e3c0b1f3858b82fbfd96039a4675fe9a08a1a436985e1ac4e3c7ddac4ec25ef5

Observation 492053cc-4ba2-486d-a63b-a83ac002d434 · outbound

This paper cites Hierarchical policies for cluttered-scene grasping with latent plans.

Steering Robots with Inference-Time Interactions Hierarchical policies for cluttered-scene grasping with latent plans

Reference 70

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source=pdf_text observed=2026-08-07T00:26:30.878259Z digest=sha256:cfef0a53bef45c51e650879f0a706e8c4bb1d0d33daf2b0a3568237a1a7d3a3e

Observation 89127e5e-e822-46d9-8dec-5d218ac95e2a · outbound

This paper cites Learning latent plans from play.

Steering Robots with Inference-Time Interactions Learning latent plans from play

Reference 71

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source=pdf_text observed=2026-08-07T00:26:30.883283Z digest=sha256:efc35ca14faf42589aa67d26e908dcfe7b2ac76937efe3c52bff22798a6e9b43

Observation 7bda7980-6b40-4fd3-a2b3-9f5cf1c8bbdc · outbound

This paper cites Model Based Planning with Energy Based Models.

Steering Robots with Inference-Time Interactions Model Based Planning with Energy Based Models

Reference 72

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source=pdf_text observed=2026-08-07T00:26:30.888078Z digest=sha256:5c45a324a9e895bb8c39d03df1dc972a23bb94709663e069b0bad0c403ff9ece

Observation f27d69a5-289e-44a0-b06c-945984818eea · outbound

This paper cites Energy-based Models are Zero-Shot Planners for Compositional Scene Rearrangement.

Steering Robots with Inference-Time Interactions Energy-based Models are Zero-Shot Planners for Compositional Scene Rearrangement

Reference 73

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source=pdf_text observed=2026-08-07T00:26:30.892753Z digest=sha256:713f1d052207e47302d662c7674cd394bb15f8fbf5a60cd28d9c1367597a681f

Observation 30375c2d-d592-4374-bad8-8aca535ef9dc · outbound

This paper cites Compositional Diffusion-Based Continuous Constraint Solvers.

Steering Robots with Inference-Time Interactions Compositional Diffusion-Based Continuous Constraint Solvers

Reference 74

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source=pdf_text observed=2026-08-07T00:26:30.896935Z digest=sha256:bb1d4b55bce501babfa85c88b8f2d5f1615e5642c2720cbd952f78d588cd578b

Observation 2b8eb3cc-d337-4279-acf4-af71b6b645e2 · outbound

This paper cites Goal-Conditioned Imitation Learning using Score-based Diffusion Policies.

Steering Robots with Inference-Time Interactions Goal-Conditioned Imitation Learning using Score-based Diffusion Policies

Reference 75

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source=pdf_text observed=2026-08-07T00:26:30.901650Z digest=sha256:d7df514d5e612752e64cc456be9a56a1ba0eb8b7a87cf2f7a93383c78cfc49b6

Observation 53890379-e535-43d8-a309-790fd63c03f0 · outbound

This paper cites Generative skill chaining: Long-horizon skill planning with diffusion models.

Steering Robots with Inference-Time Interactions Generative skill chaining: Long-horizon skill planning with diffusion models

Reference 76

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source=pdf_text observed=2026-08-07T00:26:30.906194Z digest=sha256:bcd79fa90832d5be4f83499611fc3b9d3cd07a5f2a96e224644be03fc9d0515a

Observation e87f4c08-c9ac-4770-aceb-1ad73e4bd658 · outbound

This paper cites Se (3)-diffusionfields: Learning smooth cost functions for joint grasp and motion optimization through diffusion.

Steering Robots with Inference-Time Interactions Se (3)-diffusionfields: Learning smooth cost functions for joint grasp and motion optimization through diffusion

Reference 77

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source=pdf_text observed=2026-08-07T00:26:30.910500Z digest=sha256:a627612b8152c4c0be90df4060492973c46af357bb89283896910cd32bbf8a5d

Observation 82ba4deb-b497-40f3-8b1d-0234f7378ec3 · outbound

This paper cites Steering Your Generalists: Improving Robotic Foundation Models via Value Guidance.

Steering Robots with Inference-Time Interactions Steering Your Generalists: Improving Robotic Foundation Models via Value Guidance

Reference 78

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source=pdf_text observed=2026-08-07T00:26:30.915268Z digest=sha256:4269ccd19f924cdeb156ea1d8d62d64c9bf312ed8f5face5d4796a65c3c891de

Observation baa1d1e6-f81d-4643-824a-dd01cf97c919 · outbound

This paper cites PoCo: Policy Composition from and for Heterogeneous Robot Learning.

Steering Robots with Inference-Time Interactions PoCo: Policy Composition from and for Heterogeneous Robot Learning

Reference 79

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Observation 3b793e99-9b77-4853-b025-afd2ede45869 · outbound

This paper cites Recent advances in robot learning from demonstration.

Steering Robots with Inference-Time Interactions Recent advances in robot learning from demonstration

Reference 80

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source=pdf_text observed=2026-08-07T00:26:30.924301Z digest=sha256:bc0249b99101b571ef3c70a43335b191f1c1ada1ac0a29d75a834e20b0bad791

Observation 20c9d090-80d1-496a-9cba-a5d993c581b9 · outbound

This paper cites Robot learning from demonstration: a task-level planning approach.

Steering Robots with Inference-Time Interactions Robot learning from demonstration: a task-level planning approach

Reference 81

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source=pdf_text observed=2026-08-07T00:26:30.928426Z digest=sha256:bd8f3118a0aa8104103f8941e48a11e0ee2498da8c9bba18544c328e65f2d257

Observation 69d4f843-5c59-4f5f-a53b-8e3a99ae0178 · outbound

This paper cites Incremental learning of subtasks from unsegmented demonstration.

Steering Robots with Inference-Time Interactions Incremental learning of subtasks from unsegmented demonstration

Reference 82

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Observation fd0fb4dc-20d6-43c3-a739-7516d985c0bc · outbound

This paper cites Learning stable task sequences from demonstration with linear parameter varying systems and hidden Markov models.

Steering Robots with Inference-Time Interactions Learning stable task sequences from demonstration with linear parameter varying systems and hidden Markov models

Reference 83

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Observation df18f18a-39af-47af-a11c-a273e36f4d61 · outbound

This paper cites Relay Policy Learning: Solving Long-Horizon Tasks via Imitation and Reinforcement Learning.

Steering Robots with Inference-Time Interactions Relay Policy Learning: Solving Long-Horizon Tasks via Imitation and Reinforcement Learning

Reference 84

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source=pdf_text observed=2026-08-07T00:26:30.940459Z digest=sha256:80d6daacdede60c8022cbfbcca08f7ccdfb73b567f9786dad3378d9f29ab2235

Observation 5f5de82c-4f9e-41b0-ab2f-4c1250d29a9f · outbound

This paper cites Learning to Generalize Across Long-Horizon Tasks from Human Demonstrations.

Steering Robots with Inference-Time Interactions Learning to Generalize Across Long-Horizon Tasks from Human Demonstrations

Reference 85

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Observation 1cb3d319-7853-4944-bfd0-f745c9b5a16c · outbound

This paper cites Modeling Long-horizon Tasks as Sequential Interaction Landscapes.

Steering Robots with Inference-Time Interactions Modeling Long-horizon Tasks as Sequential Interaction Landscapes

Reference 86

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source=pdf_text observed=2026-08-07T00:26:30.950135Z digest=sha256:1d8a984fe620a1205e9843f9b67dcce3c1ae83b133d948755d9fccdb15972b6b

Observation 3cdcd789-ab1a-45d9-abf6-5c50d0488d15 · outbound

This paper cites Towards associative skill memories.

Steering Robots with Inference-Time Interactions Towards associative skill memories

Reference 87

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source=pdf_text observed=2026-08-07T00:26:30.955195Z digest=sha256:8c3c536215a3ae75efa7e37004e195d8cdda763d5bb4ba480b35e070b655a919

Observation 051dc299-0c47-4b88-a416-5ca0ff71b127 · outbound

This paper cites Towards learning hierarchical skills for multi-phase manipulation tasks.

Steering Robots with Inference-Time Interactions Towards learning hierarchical skills for multi-phase manipulation tasks

Reference 88

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source=pdf_text observed=2026-08-07T00:26:30.959716Z digest=sha256:fbfa90d16d49ab4e9431b0cdcbd86d73bb2ede43a7e73696cd9372d0876afadb

Observation f0bb68dc-8471-4cbb-b8e3-c091f9d774a7 · outbound

This paper cites Trajectories and keyframes for kinesthetic teaching: A human-robot interaction perspective.

Steering Robots with Inference-Time Interactions Trajectories and keyframes for kinesthetic teaching: A human-robot interaction perspective

Reference 89

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source=pdf_text observed=2026-08-07T00:26:30.963979Z digest=sha256:2101a51676982511865c96cdba9a8d74182380cc2c58e1704343fcb1cf345550

Observation 9c38eaf4-414e-4d99-bfb1-af9b1256f92f · outbound

This paper cites C-learn: Learning geometric constraints from demonstrations for multi-step manipulation in shared autonomy.

Steering Robots with Inference-Time Interactions C-learn: Learning geometric constraints from demonstrations for multi-step manipulation in shared autonomy

Reference 90

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source=pdf_text observed=2026-08-07T00:26:30.968056Z digest=sha256:00b0b017d6ae28e830339e6fef0da7aed1040e9c28be0715ce826a94f43040ec

Observation 6dd763a7-9b1d-4238-8420-1789035f192f · outbound

This paper cites Robot learning from demon- stration by constructing skill trees.

Steering Robots with Inference-Time Interactions Robot learning from demon- stration by constructing skill trees

Reference 91

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source=pdf_text observed=2026-08-07T00:26:30.972309Z digest=sha256:8c60291a368b34538fb81f0734743aff21237ce59e68941b609ca60e74a98fef

Observation 48c82e2f-a55c-4738-bab6-0f584c679f1c · outbound

This paper cites Incremental Seman- tically Grounded Learning from Demonstration.

Steering Robots with Inference-Time Interactions Incremental Seman- tically Grounded Learning from Demonstration

Reference 92

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source=pdf_text observed=2026-08-07T00:26:30.976459Z digest=sha256:5be6486c2f4bf8c85c312f2151fb8275a09f7d81aac5e036046e3c75604df753

Observation 3827a067-52af-420c-9868-b12442abe6eb · outbound

This paper cites Multi-Level Discovery of Deep Options.

Steering Robots with Inference-Time Interactions Multi-Level Discovery of Deep Options

Reference 93

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source=pdf_text observed=2026-08-07T00:26:30.980785Z digest=sha256:f2fe62fbd39d938417c1f6ec5c19a6e222886c3a9218289a1b03be20ec6691c1

Observation 663a8b46-ac4e-4dde-bb06-01ea42e7b051 · outbound

This paper cites an unresolved cited work.

Steering Robots with Inference-Time Interactions Unresolved cited work

Reference 94

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source=pdf_text observed=2026-08-07T00:26:30.984979Z digest=sha256:829ad16fffc5eeedb46081b0e78194374d73fedd95c8bb4a41b769d3f1015d04

Observation 2f1025c6-3799-4feb-ab1d-30c98b2897c7 · outbound

This paper cites Dynamic Movement Primitives in Robotics: A Tutorial Survey.

Steering Robots with Inference-Time Interactions Dynamic Movement Primitives in Robotics: A Tutorial Survey

Reference 95

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T00:26:30.989143Z digest=sha256:30b70ddc910e190e5fe9b661f192ffe07563082affc894eaa22c24cc7123aa69

Observation 1487cda0-077e-4a6b-82fc-7a48c84c7361 · outbound

This paper cites Billard, S.

Steering Robots with Inference-Time Interactions Billard, S

Reference 96

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source=pdf_text observed=2026-08-07T00:26:30.993607Z digest=sha256:f65a1f933165a598a0235fea181c468af5d4e535dab138b95326b7bd35328255

Observation a2062d01-98a7-41dd-b621-043e395fb6ac · outbound

This paper cites an unresolved cited work.

Steering Robots with Inference-Time Interactions Unresolved cited work

Reference 97

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source=pdf_text observed=2026-08-07T00:26:30.998232Z digest=sha256:6378ab74b186b42d83747c368c0c976ebe2e963543e4679453daaae820267d3c

Observation cf3a4ef3-c68d-4284-895e-7383c4711fbf · outbound

This paper cites Discrete abstractions of hybrid systems.

Steering Robots with Inference-Time Interactions Discrete abstractions of hybrid systems

Reference 98

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source=pdf_text observed=2026-08-07T00:26:31.002795Z digest=sha256:d695b6a5c7becc6278f5cd9eaab136e25b0788223fcfd686897e5024bccd407e

Observation e0bab4a5-5ac5-4cd0-b2d6-7e9a43535ec7 · outbound

This paper cites Temporal logic motion planning for mobile robots.

Steering Robots with Inference-Time Interactions Temporal logic motion planning for mobile robots

Reference 99

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source=pdf_text observed=2026-08-07T00:26:31.006775Z digest=sha256:a572f153495b8ffc272e70f5400f08cd29b242d4573c4485792b69df479cb239

Observation fe5f45b6-f467-4e8f-ad44-c5db62d12a4a · outbound

This paper cites Bayesian inference of temporal task specifications from demonstrations.

Steering Robots with Inference-Time Interactions Bayesian inference of temporal task specifications from demonstrations

Reference 100

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source=pdf_text observed=2026-08-07T00:26:31.010817Z digest=sha256:78f36834c8fd2f89c301836159e6e3831cf0d77e15d51d62e79fe4e6ddf769f1

Pith citing papers

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