Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-01T10:23:22.546415Z
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 100 of 145 outbound references and 0 inbound Pith citation observations for arXiv:2607.26991.
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 2026-08-01T10:23:22.546415Z
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
100 of 145 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 82189999-d2a1-4aa9-8fbd-d1272d3f771b · outbound
RL$^2$-VLA: Adaptive RL Latent Compositional Steering with Test-Time Scaling for Vision-Language-Action Models From Intention to Execution: Probing the Generalization Boundaries of Vision-Language-Action Models
Reference 1
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Observation 4058a8c2-20b2-4552-ade8-5648240821b1 · outbound
RL$^2$-VLA: Adaptive RL Latent Compositional Steering with Test-Time Scaling for Vision-Language-Action Models Interleave-VLA: Enhancing robot ma- nipulation with image-text interleaved instructions,
Reference 2
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Observation 8d04be80-913f-4dae-84f5-6892ef26704b · outbound
RL$^2$-VLA: Adaptive RL Latent Compositional Steering with Test-Time Scaling for Vision-Language-Action Models Openvla: An open-source vision-language-action model,
Reference 3
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Observation a5d449e5-326b-4bd5-9177-80821f0acfa3 · outbound
RL$^2$-VLA: Adaptive RL Latent Compositional Steering with Test-Time Scaling for Vision-Language-Action Models $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control
Reference 4
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Observation 26ecde4f-a058-4467-b0bd-be50d94cfc35 · outbound
RL$^2$-VLA: Adaptive RL Latent Compositional Steering with Test-Time Scaling for Vision-Language-Action Models π 0.5: a vision- language-action model with open-world generalization,
Reference 5
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Observation 836a3aa9-8e48-4ea9-b88b-f12df5d4f65f · outbound
RL$^2$-VLA: Adaptive RL Latent Compositional Steering with Test-Time Scaling for Vision-Language-Action Models MolmoAct: Action Reasoning Models that can Reason in Space
Reference 6
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Observation 8f77e18b-c5c8-434c-84dd-e22b1dbc284c · outbound
RL$^2$-VLA: Adaptive RL Latent Compositional Steering with Test-Time Scaling for Vision-Language-Action Models Open x-embodiment: Robotic learning datasets and rt-x models
Reference 7
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Observation 8247ecf9-282f-4cea-99d9-e682e690fe3f · outbound
RL$^2$-VLA: Adaptive RL Latent Compositional Steering with Test-Time Scaling for Vision-Language-Action Models GRAPE: Generalizing Robot Policy via Preference Alignment
Reference 8
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Observation 8b64a5cd-3678-4ceb-89c0-ba09c37d333d · outbound
RL$^2$-VLA: Adaptive RL Latent Compositional Steering with Test-Time Scaling for Vision-Language-Action Models Robotic control via embodied chain-of-thought reasoning,
Reference 9
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Observation 2fa1ccc3-685b-4333-af6d-97b64a207dbd · outbound
RL$^2$-VLA: Adaptive RL Latent Compositional Steering with Test-Time Scaling for Vision-Language-Action Models Fast ecot: Efficient embodied chain-of-thought via thoughts reuse,
Reference 10
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Observation 8c34d8a8-1442-4862-80f1-30b347952d6b · outbound
RL$^2$-VLA: Adaptive RL Latent Compositional Steering with Test-Time Scaling for Vision-Language-Action Models Steering your generalists: Improving robotic foundation models via value guidance,
Reference 11
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Observation 2abd730c-9928-476c-aa25-ece195e49fc4 · outbound
RL$^2$-VLA: Adaptive RL Latent Compositional Steering with Test-Time Scaling for Vision-Language-Action Models Robomonkey: Scaling test-time sampling and verifi- cation for vision-language-action models,
Reference 12
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Observation 24177c57-d34b-4b97-ab02-764330135832 · outbound
RL$^2$-VLA: Adaptive RL Latent Compositional Steering with Test-Time Scaling for Vision-Language-Action Models Scaling verification can be more effective than scaling policy learning for vision-language-action alignment,
Reference 13
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Observation 38b13b1a-62e6-4e76-bf34-5a8351475e0f · outbound
RL$^2$-VLA: Adaptive RL Latent Compositional Steering with Test-Time Scaling for Vision-Language-Action Models From foresight to fore- thought: Vlm-in-the-loop policy steering via latent alignment,
Reference 14
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Observation fa7863d8-ce58-4de8-ab0c-6e13f8cb9783 · outbound
RL$^2$-VLA: Adaptive RL Latent Compositional Steering with Test-Time Scaling for Vision-Language-Action Models Do what you say: Steering vision-language-action models via runtime reasoning-action alignment verification,
Reference 15
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Observation cfeeb6de-fdc0-442d-8e48-6232de845942 · outbound
RL$^2$-VLA: Adaptive RL Latent Compositional Steering with Test-Time Scaling for Vision-Language-Action Models Dynaguide: Steering diffusion policies with active dynamic guidance,
Reference 16
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Observation 17a3eb91-e3b8-4596-9db3-5df5637da133 · outbound
RL$^2$-VLA: Adaptive RL Latent Compositional Steering with Test-Time Scaling for Vision-Language-Action Models VLS: Steering pretrained robot policies via vision-language models,
Reference 17
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Observation 3ceff9a1-5900-42a1-b5ae-7869d131bc48 · outbound
RL$^2$-VLA: Adaptive RL Latent Compositional Steering with Test-Time Scaling for Vision-Language-Action Models Towards Deploying VLA without Fine-Tuning: Plug-and-Play Inference-Time VLA Policy Steering via Embodied Evolutionary Diffusion
Reference 18
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Observation 915828f1-0902-45cf-b36a-ba3f53163dce · outbound
RL$^2$-VLA: Adaptive RL Latent Compositional Steering with Test-Time Scaling for Vision-Language-Action Models Compose your policies! improving diffusion-based or flow-based robot policies via test-time distribution- level composition,
Reference 19
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Observation 5d98c612-a7d0-4b30-8fe9-52d1eac505f2 · outbound
RL$^2$-VLA: Adaptive RL Latent Compositional Steering with Test-Time Scaling for Vision-Language-Action Models Safe: Multitask failure detection for vision-language-action models,
Reference 20
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Observation 8a620c79-e51d-40df-b3f6-860cbe107bfe · outbound
RL$^2$-VLA: Adaptive RL Latent Compositional Steering with Test-Time Scaling for Vision-Language-Action Models Evaluating Real-World Robot Manipulation Policies in Simulation
Reference 21
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Observation 8e8fd429-779b-492c-a9b7-cb4accc96e0f · outbound
RL$^2$-VLA: Adaptive RL Latent Compositional Steering with Test-Time Scaling for Vision-Language-Action Models Polaris: Scalable real-to-sim evaluations for generalist robot policies,
Reference 22
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Observation e13195e9-186c-476a-850e-4225a93e5ac1 · outbound
RL$^2$-VLA: Adaptive RL Latent Compositional Steering with Test-Time Scaling for Vision-Language-Action Models $\pi^{*}_{0.6}$: a VLA That Learns From Experience
Reference 23
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Observation 4f6bdf98-badb-4894-b743-112ebdf6bb6a · outbound
RL$^2$-VLA: Adaptive RL Latent Compositional Steering with Test-Time Scaling for Vision-Language-Action Models SimpleVLA-RL: Scaling VLA training via reinforcement learning,
Reference 24
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Observation 207cf4cb-6321-426a-a817-a9615cb056b3 · outbound
RL$^2$-VLA: Adaptive RL Latent Compositional Steering with Test-Time Scaling for Vision-Language-Action Models Conrft: A reinforced fine-tuning method for vla models via consistency policy,
Reference 25
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Observation 49350aa3-aa90-4f42-a1b9-204ee52fbbc3 · outbound
RL$^2$-VLA: Adaptive RL Latent Compositional Steering with Test-Time Scaling for Vision-Language-Action Models Policy decorator: Model-agnostic online refinement for large policy model,
Reference 26
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Observation 5bf7d3ac-a881-4c33-a488-a00f148adfc0 · outbound
RL$^2$-VLA: Adaptive RL Latent Compositional Steering with Test-Time Scaling for Vision-Language-Action Models Self-improving vision-language-action models with data generation via residual RL,
Reference 27
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Observation 1d6071e7-ceab-4e17-b42f-6d3f1996cdec · outbound
RL$^2$-VLA: Adaptive RL Latent Compositional Steering with Test-Time Scaling for Vision-Language-Action Models Steering your diffusion policy with latent space reinforcement learning,
Reference 28
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Observation 0e1362db-aeea-44bd-9b26-8c1c4a8479de · outbound
RL$^2$-VLA: Adaptive RL Latent Compositional Steering with Test-Time Scaling for Vision-Language-Action Models RL Token: Bootstrapping Online RL with Vision-Language-Action Models
Reference 29
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Observation 9171437d-0dea-4e0e-b5ba-fa55e7d57e0d · outbound
RL$^2$-VLA: Adaptive RL Latent Compositional Steering with Test-Time Scaling for Vision-Language-Action Models OnetwoVLA: A unified vision-language-action model with adaptive reasoning,
Reference 30
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Observation 6333fa52-f636-4d23-813d-3c410867247c · outbound
RL$^2$-VLA: Adaptive RL Latent Compositional Steering with Test-Time Scaling for Vision-Language-Action Models Recurrent-depth vla: Implicit test-time compute scaling of vision-language-action models via latent iterative reasoning,
Reference 31
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Observation c788c747-a420-4035-84fc-9fe037a81601 · outbound
RL$^2$-VLA: Adaptive RL Latent Compositional Steering with Test-Time Scaling for Vision-Language-Action Models VLA-ATTC: Adaptive Test-Time Compute for VLA Models with Relative Action Critic Model
Reference 32
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Observation 1bc2efdc-0710-4644-9269-31cc5f73f224 · outbound
RL$^2$-VLA: Adaptive RL Latent Compositional Steering with Test-Time Scaling for Vision-Language-Action Models Scale: Self-uncertainty conditioned adaptive looking and execution for vision- language-action models,
Reference 33
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Observation e01631d8-3810-48af-827b-0de4b259d73a · outbound
RL$^2$-VLA: Adaptive RL Latent Compositional Steering with Test-Time Scaling for Vision-Language-Action Models Diffusion models beat GANs on image synthesis,
Reference 34
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Observation 83dcab72-84e2-4488-afda-73d946d6210a · outbound
RL$^2$-VLA: Adaptive RL Latent Compositional Steering with Test-Time Scaling for Vision-Language-Action Models Tree-guided diffusion planner,
Reference 35
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Observation aa55a7d3-da41-4efa-8fc0-24e71f3ea53a · outbound
RL$^2$-VLA: Adaptive RL Latent Compositional Steering with Test-Time Scaling for Vision-Language-Action Models Bridgedata v2: A dataset for robot learning at scale,
Reference 36
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Observation 3fa36e8c-f983-40f1-95ef-4ccf1eefefaf · outbound
RL$^2$-VLA: Adaptive RL Latent Compositional Steering with Test-Time Scaling for Vision-Language-Action Models Q-learning with adjoint matching,
Reference 37
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Observation f20e95fa-ae97-4ff2-9098-c94021ffafe4 · outbound
RL$^2$-VLA: Adaptive RL Latent Compositional Steering with Test-Time Scaling for Vision-Language-Action Models Droid: A large-scale in-the-wild robot manipulation dataset,
Reference 38
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Observation ece1d371-fefd-4e55-917b-4bb59d3f7dde · outbound
RL$^2$-VLA: Adaptive RL Latent Compositional Steering with Test-Time Scaling for Vision-Language-Action Models Flow q-learning,
Reference 39
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Observation db41bc28-2948-473d-96b4-28dfbdace6cf · outbound
RL$^2$-VLA: Adaptive RL Latent Compositional Steering with Test-Time Scaling for Vision-Language-Action Models Conservative q-learning for offline reinforcement learning,
Reference 40
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Observation e11dd19a-af92-43ff-9f1f-d7154a4e67ac · outbound
RL$^2$-VLA: Adaptive RL Latent Compositional Steering with Test-Time Scaling for Vision-Language-Action Models Can We Detect Failures Without Failure Data? Uncertainty-Aware Runtime Failure Detection for Imitation Learning Policies
Reference 41
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Observation 91018a86-7d02-4932-b3bb-b735a798e16a · outbound
RL$^2$-VLA: Adaptive RL Latent Compositional Steering with Test-Time Scaling for Vision-Language-Action Models Embodied Red Teaming for Auditing Robotic Foundation Models
Reference 42
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Observation 7a205f8a-8c8e-49f5-8f28-71951d52cc3e · outbound
RL$^2$-VLA: Adaptive RL Latent Compositional Steering with Test-Time Scaling for Vision-Language-Action Models OGBench: Bench- marking offline goal-conditioned RL,
Reference 43
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Observation d2dbeff4-8c9f-42e8-b956-28d37b90d3c0 · outbound
RL$^2$-VLA: Adaptive RL Latent Compositional Steering with Test-Time Scaling for Vision-Language-Action Models Continued on next page 19 TABLE IX LANGUAGEINSTRUCTIONSREPHRASES(CONTINUED FROM PREVIOUS PAGE)
Reference 51
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Observation 026edf7b-258d-40e9-8722-7120c0b36a6b · outbound
RL$^2$-VLA: Adaptive RL Latent Compositional Steering with Test-Time Scaling for Vision-Language-Action Models Unresolved cited work
Reference 52
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Observation f6b92b59-37dc-49da-a6b5-b232d7eb6bc0 · outbound
RL$^2$-VLA: Adaptive RL Latent Compositional Steering with Test-Time Scaling for Vision-Language-Action Models Unresolved cited work
Reference 58
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Observation 45411861-9b51-4343-a6f9-cde6954eff54 · outbound
RL$^2$-VLA: Adaptive RL Latent Compositional Steering with Test-Time Scaling for Vision-Language-Action Models Stack Cubes (SIMPLER) Stack the green block on the yellow block
Reference 59
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Observation c021fd19-f3bb-4de4-a0eb-a1a77647b544 · outbound
RL$^2$-VLA: Adaptive RL Latent Compositional Steering with Test-Time Scaling for Vision-Language-Action Models Unresolved cited work
Reference 60
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Observation 5e812c8c-c2c4-4228-b429-2d679a8c61cc · outbound
RL$^2$-VLA: Adaptive RL Latent Compositional Steering with Test-Time Scaling for Vision-Language-Action Models Unresolved cited work
Reference 61
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Observation d744e415-e37c-4d53-a231-083d660a245d · outbound
RL$^2$-VLA: Adaptive RL Latent Compositional Steering with Test-Time Scaling for Vision-Language-Action Models Unresolved cited work
Reference 62
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Observation 340745dd-6b87-4076-846a-86dbed13ca33 · outbound
RL$^2$-VLA: Adaptive RL Latent Compositional Steering with Test-Time Scaling for Vision-Language-Action Models Unresolved cited work
Reference 63
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Observation 96791625-f56a-4aab-86b3-a53a3fb9c428 · outbound
RL$^2$-VLA: Adaptive RL Latent Compositional Steering with Test-Time Scaling for Vision-Language-Action Models Unresolved cited work
Reference 64
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Observation e3d16601-ffe9-4f26-a867-ba93653ee71c · outbound
RL$^2$-VLA: Adaptive RL Latent Compositional Steering with Test-Time Scaling for Vision-Language-Action Models Unresolved cited work
Reference 65
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Observation dbb14d00-bb74-4292-8da7-2ddca360b88f · outbound
RL$^2$-VLA: Adaptive RL Latent Compositional Steering with Test-Time Scaling for Vision-Language-Action Models Unresolved cited work
Reference 66
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Observation 09eadde3-4cba-42b9-8c72-cd68485f434e · outbound
RL$^2$-VLA: Adaptive RL Latent Compositional Steering with Test-Time Scaling for Vision-Language-Action Models Eggplant in Basket (SIMPLER) Put eggplant into yellow basket
Reference 67
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Observation de19a3b3-4078-461b-b257-ef3db3377a7f · outbound
RL$^2$-VLA: Adaptive RL Latent Compositional Steering with Test-Time Scaling for Vision-Language-Action Models Unresolved cited work
Reference 68
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Observation 251c7197-76db-4895-bfe0-687fcfabc634 · outbound
RL$^2$-VLA: Adaptive RL Latent Compositional Steering with Test-Time Scaling for Vision-Language-Action Models Unresolved cited work
Reference 69
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Observation ccbfe763-d46a-4b59-b8fa-8ed50fa9ee1b · outbound
RL$^2$-VLA: Adaptive RL Latent Compositional Steering with Test-Time Scaling for Vision-Language-Action Models Unresolved cited work
Reference 70
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Observation ece91bfd-5463-428d-b280-941636eef344 · outbound
RL$^2$-VLA: Adaptive RL Latent Compositional Steering with Test-Time Scaling for Vision-Language-Action Models Unresolved cited work
Reference 71
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Observation 93acb861-1793-4ce8-b8b5-3e8edf90d965 · outbound
RL$^2$-VLA: Adaptive RL Latent Compositional Steering with Test-Time Scaling for Vision-Language-Action Models Unresolved cited work
Reference 72
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Observation da656ec7-3130-46b8-af68-7d4987e894cc · outbound
RL$^2$-VLA: Adaptive RL Latent Compositional Steering with Test-Time Scaling for Vision-Language-Action Models Unresolved cited work
Reference 73
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Observation 336407d0-f3ab-40a5-829c-d3a32284c279 · outbound
RL$^2$-VLA: Adaptive RL Latent Compositional Steering with Test-Time Scaling for Vision-Language-Action Models Unresolved cited work
Reference 74
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Observation 12d63119-9cd6-45ae-9273-7b456e3d8ee8 · outbound
RL$^2$-VLA: Adaptive RL Latent Compositional Steering with Test-Time Scaling for Vision-Language-Action Models Orange Juice on Plate (SIMPLER) Put orange juice on plate
Reference 75
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Observation c119ea1b-4265-4b6f-a906-3c3ecbac3609 · outbound
RL$^2$-VLA: Adaptive RL Latent Compositional Steering with Test-Time Scaling for Vision-Language-Action Models Unresolved cited work
Reference 76
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Observation 30e1990a-4a3f-412d-9540-f0ad7fc2b75b · outbound
RL$^2$-VLA: Adaptive RL Latent Compositional Steering with Test-Time Scaling for Vision-Language-Action Models Unresolved cited work
Reference 77
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Observation 3b4b4133-1b74-4486-add6-8745382d1259 · outbound
RL$^2$-VLA: Adaptive RL Latent Compositional Steering with Test-Time Scaling for Vision-Language-Action Models Unresolved cited work
Reference 78
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Observation dcba702e-68cb-45d5-9240-cd6f422fcd53 · outbound
RL$^2$-VLA: Adaptive RL Latent Compositional Steering with Test-Time Scaling for Vision-Language-Action Models Unresolved cited work
Reference 79
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Observation 9cffd2b4-7922-421c-a1d2-d5c597ee76a2 · outbound
RL$^2$-VLA: Adaptive RL Latent Compositional Steering with Test-Time Scaling for Vision-Language-Action Models Unresolved cited work
Reference 80
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Observation 5aaf8e5a-841b-442b-a691-9867f3f3e6b5 · outbound
RL$^2$-VLA: Adaptive RL Latent Compositional Steering with Test-Time Scaling for Vision-Language-Action Models Unresolved cited work
Reference 81
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Observation b14d1703-9284-4db9-bee8-c494cac8088a · outbound
RL$^2$-VLA: Adaptive RL Latent Compositional Steering with Test-Time Scaling for Vision-Language-Action Models Spoon on Towel (Google) (SIMPLER) Put the spoon on the towel google
Reference 82
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Observation 67103780-10d5-4295-b42b-d11ff9fea364 · outbound
RL$^2$-VLA: Adaptive RL Latent Compositional Steering with Test-Time Scaling for Vision-Language-Action Models Unresolved cited work
Reference 83
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Observation e5cd675b-401c-49c4-9be4-27cfed98acee · outbound
RL$^2$-VLA: Adaptive RL Latent Compositional Steering with Test-Time Scaling for Vision-Language-Action Models Unresolved cited work
Reference 84
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Observation fe83d52c-3d7f-4254-b59b-110d713abff7 · outbound
RL$^2$-VLA: Adaptive RL Latent Compositional Steering with Test-Time Scaling for Vision-Language-Action Models Unresolved cited work
Reference 85
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Observation f15bb228-0af1-43d9-b64a-5a8ad9b20e04 · outbound
RL$^2$-VLA: Adaptive RL Latent Compositional Steering with Test-Time Scaling for Vision-Language-Action Models Unresolved cited work
Reference 86
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Observation 689f1b12-2129-48dd-b2f4-13043c28555d · outbound
RL$^2$-VLA: Adaptive RL Latent Compositional Steering with Test-Time Scaling for Vision-Language-Action Models Unresolved cited work
Reference 87
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Observation 0ce87732-d2b6-4e4c-b9d4-2c4fdd4cabfd · outbound
RL$^2$-VLA: Adaptive RL Latent Compositional Steering with Test-Time Scaling for Vision-Language-Action Models Unresolved cited work
Reference 88
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Observation db9ccfa6-c986-4ad8-9d71-aaeda05f7b7c · outbound
RL$^2$-VLA: Adaptive RL Latent Compositional Steering with Test-Time Scaling for Vision-Language-Action Models Toy Dinosaur on Towel (SIMPLER) Put the toy dinosaur on the towel
Reference 89
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Observation 5c2a3019-eebc-4e34-9ab2-2248e377e9f2 · outbound
RL$^2$-VLA: Adaptive RL Latent Compositional Steering with Test-Time Scaling for Vision-Language-Action Models Unresolved cited work
Reference 90
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Observation afd4d84e-624d-4ae2-949d-5641c0589eb4 · outbound
RL$^2$-VLA: Adaptive RL Latent Compositional Steering with Test-Time Scaling for Vision-Language-Action Models Unresolved cited work
Reference 91
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Observation 556990df-6497-4b66-8464-02efe9743cbf · outbound
RL$^2$-VLA: Adaptive RL Latent Compositional Steering with Test-Time Scaling for Vision-Language-Action Models Unresolved cited work
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Observation c27ff3ce-bda0-401f-b4ae-00c757c906fc · outbound
RL$^2$-VLA: Adaptive RL Latent Compositional Steering with Test-Time Scaling for Vision-Language-Action Models Unresolved cited work
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Observation 3b853103-2b3f-4851-8dd6-a2118daabed7 · outbound
RL$^2$-VLA: Adaptive RL Latent Compositional Steering with Test-Time Scaling for Vision-Language-Action Models Unresolved cited work
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Observation 2f8aa4f4-b613-4a73-9e41-52ca58737958 · outbound
RL$^2$-VLA: Adaptive RL Latent Compositional Steering with Test-Time Scaling for Vision-Language-Action Models Unresolved cited work
Reference 95
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Observation e918508e-e656-4fd3-8317-7f6b588feb5d · outbound
RL$^2$-VLA: Adaptive RL Latent Compositional Steering with Test-Time Scaling for Vision-Language-Action Models Tape Measure in Basket (SIMPLER) Put tape measure into yellow basket
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Observation 5b740f6e-b5be-4340-bec9-b2e00cd79562 · outbound
RL$^2$-VLA: Adaptive RL Latent Compositional Steering with Test-Time Scaling for Vision-Language-Action Models Unresolved cited work
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Observation d91999a3-4c2c-4441-a83d-2b9a2f98eac1 · outbound
RL$^2$-VLA: Adaptive RL Latent Compositional Steering with Test-Time Scaling for Vision-Language-Action Models Unresolved cited work
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Observation 894f4e51-9769-498d-991d-f0ee9ece1658 · outbound
RL$^2$-VLA: Adaptive RL Latent Compositional Steering with Test-Time Scaling for Vision-Language-Action Models Unresolved cited work
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Observation 8f498697-bf6c-4e24-a324-537fea6c667e · outbound
RL$^2$-VLA: Adaptive RL Latent Compositional Steering with Test-Time Scaling for Vision-Language-Action Models Unresolved cited work
Reference 100
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Observation e60a3612-4ade-4d71-8513-ee29ff76ce5a · outbound
RL$^2$-VLA: Adaptive RL Latent Compositional Steering with Test-Time Scaling for Vision-Language-Action Models Unresolved cited work
Reference 101
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Observation 134b3c02-dcf8-449b-8a99-204868406b84 · outbound
RL$^2$-VLA: Adaptive RL Latent Compositional Steering with Test-Time Scaling for Vision-Language-Action Models Unresolved cited work
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RL$^2$-VLA: Adaptive RL Latent Compositional Steering with Test-Time Scaling for Vision-Language-Action Models Continued on next page 20 TABLE IX LANGUAGEINSTRUCTIONSREPHRASES(CONTINUED FROM PREVIOUS PAGE)
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RL$^2$-VLA: Adaptive RL Latent Compositional Steering with Test-Time Scaling for Vision-Language-Action Models Unresolved cited work
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RL$^2$-VLA: Adaptive RL Latent Compositional Steering with Test-Time Scaling for Vision-Language-Action Models Unresolved cited work
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Observation f3c67ee5-eee2-4102-9c9b-aa4f34e1e5fd · outbound
RL$^2$-VLA: Adaptive RL Latent Compositional Steering with Test-Time Scaling for Vision-Language-Action Models Unresolved cited work
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Observation 07ca74ee-b0cb-4f52-b187-cf596fbf824a · outbound
RL$^2$-VLA: Adaptive RL Latent Compositional Steering with Test-Time Scaling for Vision-Language-Action Models Unresolved cited work
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Observation 3b49baf8-ed4c-4aa8-9f62-c97c0c3eaadf · outbound
RL$^2$-VLA: Adaptive RL Latent Compositional Steering with Test-Time Scaling for Vision-Language-Action Models Unresolved cited work
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Observation d9e1b330-b07e-4385-891e-5f0a08ca0485 · outbound
RL$^2$-VLA: Adaptive RL Latent Compositional Steering with Test-Time Scaling for Vision-Language-Action Models Unresolved cited work
Reference 109
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Observation ec4741ae-3599-4fff-8f48-288bb6d39bdb · outbound
RL$^2$-VLA: Adaptive RL Latent Compositional Steering with Test-Time Scaling for Vision-Language-Action Models Unresolved cited work
Reference 110
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Observation 337717c4-b7d0-4876-901e-cbefe32beefd · outbound
RL$^2$-VLA: Adaptive RL Latent Compositional Steering with Test-Time Scaling for Vision-Language-Action Models Tape into Container (PolaRiS) Put the tape into the container
Reference 111
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Observation de0e8dc0-be9b-4958-9979-f741e8493580 · outbound
RL$^2$-VLA: Adaptive RL Latent Compositional Steering with Test-Time Scaling for Vision-Language-Action Models Unresolved cited work
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No inbound Pith citation observations are available.