Paper Citation Record · LEDGER

CLIFT: Turning Gemini Robotics On-Device into Humanoid Specialists via Non-Invasive Closed-Loop Iterative Fine-Tuning

As of 8 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2607.29172.

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

pith.paper-citation-record.v1
2607.29172 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T12:23:58.895544Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

26 of 26 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 773c576b-a3fc-4505-90fc-e2cb5ffce8a4 · outbound

This paper cites Open X-embodiment: Robotic learning datasets and RT-X models.

CLIFT: Turning Gemini Robotics On-Device into Humanoid Specialists via Non-Invasive Closed-Loop Iterative Fine-Tuning Open X-embodiment: Robotic learning datasets and RT-X models

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-03T12:23:56.547649Z

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Unavailable: canonical work link unavailable.

Observation 65c3a603-7d4a-4231-a03c-5aef55e1c933 · outbound

This paper cites Gemini Robotics: Bringing AI into the Physical World.

CLIFT: Turning Gemini Robotics On-Device into Humanoid Specialists via Non-Invasive Closed-Loop Iterative Fine-Tuning Gemini Robotics: Bringing AI into the Physical World

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-03T12:23:56.625409Z

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Observation fd8e3135-67ea-4350-8dd4-fb86c15f9c39 · outbound

This paper cites GR00T N1: An Open Foundation Model for Generalist Humanoid Robots.

CLIFT: Turning Gemini Robotics On-Device into Humanoid Specialists via Non-Invasive Closed-Loop Iterative Fine-Tuning GR00T N1: An Open Foundation Model for Generalist Humanoid Robots

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-03T12:23:56.741556Z

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Observation a0df2964-dcc5-497d-8bc2-6cbf1bc255e1 · outbound

This paper cites arXiv preprint arXiv:2603.12263, 2026.

CLIFT: Turning Gemini Robotics On-Device into Humanoid Specialists via Non-Invasive Closed-Loop Iterative Fine-Tuning arXiv preprint arXiv:2603.12263, 2026

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-03T12:23:56.862344Z

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Observation 8d359516-cd98-48e2-b5bb-c420f2e0f631 · outbound

This paper cites $\pi^{*}_{0.6}$: a VLA That Learns From Experience.

CLIFT: Turning Gemini Robotics On-Device into Humanoid Specialists via Non-Invasive Closed-Loop Iterative Fine-Tuning $\pi^{*}_{0.6}$: a VLA That Learns From Experience

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-03T12:23:56.987236Z

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Observation e49b73b6-e935-4667-a598-c69e96947543 · outbound

This paper cites Helix: A vision-language-action model for generalist humanoid control, 2025.

CLIFT: Turning Gemini Robotics On-Device into Humanoid Specialists via Non-Invasive Closed-Loop Iterative Fine-Tuning Helix: A vision-language-action model for generalist humanoid control, 2025

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-03T12:23:57.067804Z

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Observation fb3613e4-794a-428f-99e7-3f2830dfbcdb · outbound

This paper cites Fine-tuning – openai api documentation, 2025.

CLIFT: Turning Gemini Robotics On-Device into Humanoid Specialists via Non-Invasive Closed-Loop Iterative Fine-Tuning Fine-tuning – openai api documentation, 2025

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-03T12:23:57.175879Z

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Observation 40035f6d-c222-4aa2-bb6f-ded0e98479d0 · outbound

This paper cites About supervised fine-tuning for Gemini models – Vertex AI documentation, 2025.

CLIFT: Turning Gemini Robotics On-Device into Humanoid Specialists via Non-Invasive Closed-Loop Iterative Fine-Tuning About supervised fine-tuning for Gemini models – Vertex AI documentation, 2025

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-03T12:23:57.256490Z

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Observation d04864b2-c139-4d51-bb3f-08d7fce4ed61 · outbound

This paper cites Position: Good embodied reward models need bad behavior data.

CLIFT: Turning Gemini Robotics On-Device into Humanoid Specialists via Non-Invasive Closed-Loop Iterative Fine-Tuning Position: Good embodied reward models need bad behavior data

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-03T12:23:57.362980Z

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Observation d6475949-fbd1-4b3c-bcf8-27107961ea74 · outbound

This paper cites Gemini robotics on-device, 2025.

CLIFT: Turning Gemini Robotics On-Device into Humanoid Specialists via Non-Invasive Closed-Loop Iterative Fine-Tuning Gemini robotics on-device, 2025

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-03T12:23:57.435430Z

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Observation 655bf451-c6b0-4f17-be35-a5f6b9bfd29f · outbound

This paper cites The physical intelligence layer, February 2026.

CLIFT: Turning Gemini Robotics On-Device into Humanoid Specialists via Non-Invasive Closed-Loop Iterative Fine-Tuning The physical intelligence layer, February 2026

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-03T12:23:57.553563Z

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Observation 4619e291-3a73-49f5-a0a4-5e03fea7c37a · outbound

This paper cites Humanoid Everyday: A Comprehensive Robotic Dataset for Open-World Humanoid Manipulation.

CLIFT: Turning Gemini Robotics On-Device into Humanoid Specialists via Non-Invasive Closed-Loop Iterative Fine-Tuning Humanoid Everyday: A Comprehensive Robotic Dataset for Open-World Humanoid Manipulation

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-03T12:23:57.674445Z

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Observation 88672ccc-dfd7-45d3-9c08-0e56ac783455 · outbound

This paper cites Tune to Learn: How Controller Gains Shape Robot Policy Learning.

CLIFT: Turning Gemini Robotics On-Device into Humanoid Specialists via Non-Invasive Closed-Loop Iterative Fine-Tuning Tune to Learn: How Controller Gains Shape Robot Policy Learning

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-03T12:23:57.763265Z

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Observation cc675e91-f442-4839-87f9-3ea537ec12b5 · outbound

This paper cites Self-improving vision-language-action models with data generation via residual RL.arXiv preprint arXiv:2511.00091, 2025.

CLIFT: Turning Gemini Robotics On-Device into Humanoid Specialists via Non-Invasive Closed-Loop Iterative Fine-Tuning Self-improving vision-language-action models with data generation via residual RL.arXiv preprint arXiv:2511.00091, 2025

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-03T12:23:57.842549Z

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Observation f89294bc-e3f1-4137-926f-83e2f44ee253 · outbound

This paper cites Robo-Dopamine: General process reward modeling for high-precision robotic manipula- tion.arXiv preprint arXiv:2512.23703, 2025.

CLIFT: Turning Gemini Robotics On-Device into Humanoid Specialists via Non-Invasive Closed-Loop Iterative Fine-Tuning Robo-Dopamine: General process reward modeling for high-precision robotic manipula- tion.arXiv preprint arXiv:2512.23703, 2025

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-03T12:23:57.894935Z

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Observation 35b3d4f0-b520-4f03-bace-524f0788b17d · outbound

This paper cites Steering Your Diffusion Policy with Latent Space Reinforcement Learning.

CLIFT: Turning Gemini Robotics On-Device into Humanoid Specialists via Non-Invasive Closed-Loop Iterative Fine-Tuning Steering Your Diffusion Policy with Latent Space Reinforcement Learning

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-03T12:23:57.989564Z

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Observation 25f77e05-9e7c-4b13-9e83-03ea8de0acbf · outbound

This paper cites an unresolved cited work.

CLIFT: Turning Gemini Robotics On-Device into Humanoid Specialists via Non-Invasive Closed-Loop Iterative Fine-Tuning Unresolved cited work

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-03T12:23:58.111620Z

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Observation bcf09b61-852a-4e03-86ed-34c9c80716ea · outbound

This paper cites Proximal Policy Optimization Algorithms.

CLIFT: Turning Gemini Robotics On-Device into Humanoid Specialists via Non-Invasive Closed-Loop Iterative Fine-Tuning Proximal Policy Optimization Algorithms

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-03T12:23:58.169775Z

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Observation 2899bc85-48f0-4de4-9012-2e71820cbbce · outbound

This paper cites Advantage-Weighted Regression: Simple and Scalable Off-Policy Reinforcement Learning.

CLIFT: Turning Gemini Robotics On-Device into Humanoid Specialists via Non-Invasive Closed-Loop Iterative Fine-Tuning Advantage-Weighted Regression: Simple and Scalable Off-Policy Reinforcement Learning

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-03T12:23:58.216903Z

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Observation 517e405e-1069-4a8c-9c9b-2e89e46e8806 · outbound

This paper cites Vision language models are in-context value learners.

CLIFT: Turning Gemini Robotics On-Device into Humanoid Specialists via Non-Invasive Closed-Loop Iterative Fine-Tuning Vision language models are in-context value learners

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-03T12:23:58.246760Z

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Observation 96684f18-60ad-4f5b-9462-9273155a96e9 · outbound

This paper cites Maximizing Alignment with Minimal Feedback: Efficiently Learning Rewards for Visuomotor Robot Policy Alignment.

CLIFT: Turning Gemini Robotics On-Device into Humanoid Specialists via Non-Invasive Closed-Loop Iterative Fine-Tuning Maximizing Alignment with Minimal Feedback: Efficiently Learning Rewards for Visuomotor Robot Policy Alignment

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-03T12:23:58.275386Z

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Observation f54fdfef-98ea-4187-a4a2-0671e29d2b07 · outbound

This paper cites XR-Teleoperate: An open-source teleoperation framework and data collection toolkit for embodied intelligence.

CLIFT: Turning Gemini Robotics On-Device into Humanoid Specialists via Non-Invasive Closed-Loop Iterative Fine-Tuning XR-Teleoperate: An open-source teleoperation framework and data collection toolkit for embodied intelligence

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-03T12:23:58.383990Z

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Observation 9b5776b2-ae95-4a8f-a482-c18863766235 · outbound

This paper cites PaliGemma: A versatile 3B VLM for transfer.

CLIFT: Turning Gemini Robotics On-Device into Humanoid Specialists via Non-Invasive Closed-Loop Iterative Fine-Tuning PaliGemma: A versatile 3B VLM for transfer

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-03T12:23:58.523242Z

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Observation 307e5376-72af-41fe-8c4e-3394655284ed · outbound

This paper cites FiLM:Visualreasoning with a general conditioning layer.

CLIFT: Turning Gemini Robotics On-Device into Humanoid Specialists via Non-Invasive Closed-Loop Iterative Fine-Tuning FiLM:Visualreasoning with a general conditioning layer

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-03T12:23:58.685514Z

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Observation b583184f-f1eb-48d6-8f31-f0a55a93fabd · outbound

This paper cites DINOv3.

CLIFT: Turning Gemini Robotics On-Device into Humanoid Specialists via Non-Invasive Closed-Loop Iterative Fine-Tuning DINOv3

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-03T12:23:58.809848Z

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Observation 9f3b3865-8852-4d00-93fa-510cccdb0c58 · outbound

This paper cites Diffusion Guidance Is a Controllable Policy Improvement Operator.

CLIFT: Turning Gemini Robotics On-Device into Humanoid Specialists via Non-Invasive Closed-Loop Iterative Fine-Tuning Diffusion Guidance Is a Controllable Policy Improvement Operator

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-03T12:23:58.895544Z

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Pith citing papers

No inbound Pith citation observations are available.