Paper Citation Record · LEDGER

Robo-ValueRL: Reliable Value Estimation for Offline-to-Online Reinforcement Learning

As of 5 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 1 inbound Pith citation observation for arXiv:2607.09866.

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

pith.paper-citation-record.v1
2607.09866 v1

Coverage vector

measured 56 of 56 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

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

Source: cited_works

Reference resolution

56 of 56 outbound references displayed

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Outbound references

Observation 50263556-4fdd-426a-a44b-99cbef037a72 · outbound

This paper cites AWAC: Accelerating Online Reinforcement Learning with Offline Datasets.

Robo-ValueRL: Reliable Value Estimation for Offline-to-Online Reinforcement Learning AWAC: Accelerating Online Reinforcement Learning with Offline Datasets

Reference 1

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Observation 051a79f4-edb9-404c-9c5c-746357829210 · outbound

This paper cites Conservative q-learning for offline reinforcement learning,.

Robo-ValueRL: Reliable Value Estimation for Offline-to-Online Reinforcement Learning Conservative q-learning for offline reinforcement learning,

Reference 2

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Observation 623b2441-4071-4c53-b7c7-3d43ad02936c · outbound

This paper cites Cal-ql: Calibrated offline rl pre-training for efficient online fine-tuning,.

Robo-ValueRL: Reliable Value Estimation for Offline-to-Online Reinforcement Learning Cal-ql: Calibrated offline rl pre-training for efficient online fine-tuning,

Reference 3

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Observation 0f2ffcc6-3379-4e72-91c1-cb495c81f928 · outbound

This paper cites RT-1: Robotics Transformer for Real-World Control at Scale,.

Robo-ValueRL: Reliable Value Estimation for Offline-to-Online Reinforcement Learning RT-1: Robotics Transformer for Real-World Control at Scale,

Reference 4

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Observation d50bb420-ea63-497a-bb52-ee7f17ec3121 · outbound

This paper cites Rt-2: Vision-language-action models transfer web knowledge to robotic control,.

Robo-ValueRL: Reliable Value Estimation for Offline-to-Online Reinforcement Learning Rt-2: Vision-language-action models transfer web knowledge to robotic control,

Reference 5

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Observation 8445b5e4-8191-43f2-a1fc-1bc1ea8050e9 · outbound

This paper cites Open x-embodiment: Robotic learning datasets and rt-x models: Open x-embodiment collaboration 0,.

Robo-ValueRL: Reliable Value Estimation for Offline-to-Online Reinforcement Learning Open x-embodiment: Robotic learning datasets and rt-x models: Open x-embodiment collaboration 0,

Reference 6

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Observation 9b397f97-aa47-4945-8f6e-221215a5d993 · outbound

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

Robo-ValueRL: Reliable Value Estimation for Offline-to-Online Reinforcement Learning Openvla: An open-source vision-language- action model,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-14T14:57:49.542416Z

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Observation 03721b18-45f2-40e6-a1d3-f46270a7da22 · outbound

This paper cites π0: A Vision-Language-Action Flow Model for General Robot Control,.

Robo-ValueRL: Reliable Value Estimation for Offline-to-Online Reinforcement Learning π0: A Vision-Language-Action Flow Model for General Robot Control,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-14T14:57:49.542416Z

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Observation 84616b7e-f9f1-429e-a5e2-0640efb96b00 · outbound

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

Robo-ValueRL: Reliable Value Estimation for Offline-to-Online Reinforcement Learning GR00T N1: An Open Foundation Model for Generalist Humanoid Robots

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-14T14:57:49.542416Z

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Observation a75baee0-3cc4-416e-bc08-7f9b85f4ba01 · outbound

This paper cites Pre-Training for Robots: Offline RL Enables Learning New Tasks in a Handful of Trials,.

Robo-ValueRL: Reliable Value Estimation for Offline-to-Online Reinforcement Learning Pre-Training for Robots: Offline RL Enables Learning New Tasks in a Handful of Trials,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-14T14:57:49.542416Z

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Observation b3ef8537-bbc0-4c71-8f3c-a1a2c3f39bf8 · outbound

This paper cites Robogene: Boosting vla pre-training via diversity-driven agentic framework for real-world task generation,.

Robo-ValueRL: Reliable Value Estimation for Offline-to-Online Reinforcement Learning Robogene: Boosting vla pre-training via diversity-driven agentic framework for real-world task generation,

Reference 11

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Observation 559fdc21-c558-4510-a35f-b9c28a9b35ad · outbound

This paper cites Precise and dexterous robotic manipulation via human-in-the-loop reinforcement learning,.

Robo-ValueRL: Reliable Value Estimation for Offline-to-Online Reinforcement Learning Precise and dexterous robotic manipulation via human-in-the-loop reinforcement learning,

Reference 12

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Observation 6526585b-7244-4585-9e09-75c595bd4552 · outbound

This paper cites Robot fine-tuning made easy: Pre-training rewards and policies for autonomous real-world reinforcement learning,.

Robo-ValueRL: Reliable Value Estimation for Offline-to-Online Reinforcement Learning Robot fine-tuning made easy: Pre-training rewards and policies for autonomous real-world reinforcement learning,

Reference 13

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Observation d624c465-0148-49aa-87d7-86dc0e5cd2a4 · outbound

This paper cites SimpleVLA-RL: Scaling VLA training via reinforcement learning,.

Robo-ValueRL: Reliable Value Estimation for Offline-to-Online Reinforcement Learning SimpleVLA-RL: Scaling VLA training via reinforcement learning,

Reference 14

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Observation 83f35c30-b2bb-4d69-af1c-60065ff9e5c6 · outbound

This paper cites Phoenix: A motion-based self-reflection framework for fine-grained robotic action correction,.

Robo-ValueRL: Reliable Value Estimation for Offline-to-Online Reinforcement Learning Phoenix: A motion-based self-reflection framework for fine-grained robotic action correction,

Reference 15

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Observation f2045532-314d-4c85-a6ca-4600ffe36e44 · outbound

This paper cites Human-assisted robotic policy refinement via action preference optimization,.

Robo-ValueRL: Reliable Value Estimation for Offline-to-Online Reinforcement Learning Human-assisted robotic policy refinement via action preference optimization,

Reference 16

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Observation 20bceca7-f507-43cf-a628-f4099186667d · outbound

This paper cites Geco-srt: Geometry-aware continual adaptation for cross-task sim-to-real transfer,.

Robo-ValueRL: Reliable Value Estimation for Offline-to-Online Reinforcement Learning Geco-srt: Geometry-aware continual adaptation for cross-task sim-to-real transfer,

Reference 17

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Observation 00a3e352-de63-40a0-83fe-51e1bd0933c4 · outbound

This paper cites Deep reinforcement learning that matters,.

Robo-ValueRL: Reliable Value Estimation for Offline-to-Online Reinforcement Learning Deep reinforcement learning that matters,

Reference 18

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Observation 1e02aa08-7bf9-43d5-a0a0-13023ab3e298 · outbound

This paper cites Deep reinforcement learning at the edge of the statistical precipice,.

Robo-ValueRL: Reliable Value Estimation for Offline-to-Online Reinforcement Learning Deep reinforcement learning at the edge of the statistical precipice,

Reference 19

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Observation 30afc46d-77f9-40f2-8f24-ea6c22132644 · outbound

This paper cites Learning While Deploying: Fleet-Scale Reinforcement Learning for Generalist Robot Policies.

Robo-ValueRL: Reliable Value Estimation for Offline-to-Online Reinforcement Learning Learning While Deploying: Fleet-Scale Reinforcement Learning for Generalist Robot Policies

Reference 20

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Observation 9673a0d2-f7e2-4726-9280-033af1e9cb7d · outbound

This paper cites Suf: Stabilized unconstrained fine-tuning for offline-to-online reinforcement learning,.

Robo-ValueRL: Reliable Value Estimation for Offline-to-Online Reinforcement Learning Suf: Stabilized unconstrained fine-tuning for offline-to-online reinforcement learning,

Reference 21

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Observation 08d22497-249b-4301-9a13-2298ccc79f4f · outbound

This paper cites Offline-to-online reinforcement learning via balanced replay and pessimistic q-ensemble,.

Robo-ValueRL: Reliable Value Estimation for Offline-to-Online Reinforcement Learning Offline-to-online reinforcement learning via balanced replay and pessimistic q-ensemble,

Reference 22

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Observation c96d70e9-1539-4d9a-aae2-51cb3d61555f · outbound

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

Robo-ValueRL: Reliable Value Estimation for Offline-to-Online Reinforcement Learning $\pi^{*}_{0.6}$: a VLA That Learns From Experience

Reference 23

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Observation bec0c268-5d8b-4cce-ac01-c31138ed87c9 · outbound

This paper cites What matters in learning from offline human demonstrations for robot manipulation,.

Robo-ValueRL: Reliable Value Estimation for Offline-to-Online Reinforcement Learning What matters in learning from offline human demonstrations for robot manipulation,

Reference 24

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Observation d1b91834-faa6-4088-ba45-e858cee524ea · outbound

This paper cites Scalable deep reinforcement learning for vision-based robotic manipulation,.

Robo-ValueRL: Reliable Value Estimation for Offline-to-Online Reinforcement Learning Scalable deep reinforcement learning for vision-based robotic manipulation,

Reference 25

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Observation b6f568c5-bf70-437c-bc2a-3641a8206244 · outbound

This paper cites Gr-rl: Going dexterous and precise for long-horizon robotic manipulation,.

Robo-ValueRL: Reliable Value Estimation for Offline-to-Online Reinforcement Learning Gr-rl: Going dexterous and precise for long-horizon robotic manipulation,

Reference 26

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Observation e193dcf8-6894-4db5-a786-093a6109a036 · outbound

This paper cites VIP: Towards universal visual reward and representation via value-implicit pre-training,.

Robo-ValueRL: Reliable Value Estimation for Offline-to-Online Reinforcement Learning VIP: Towards universal visual reward and representation via value-implicit pre-training,

Reference 27

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Observation f44fa275-83f7-426b-8b2b-95ead89734fd · outbound

This paper cites Conrft: A reinforced fine-tuning method for vla models via consistency policy,.

Robo-ValueRL: Reliable Value Estimation for Offline-to-Online Reinforcement Learning Conrft: A reinforced fine-tuning method for vla models via consistency policy,

Reference 28

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Observation a9070b42-f7ad-4792-a1c6-c43588c3b3d6 · outbound

This paper cites Consistency policy: Accelerated visuomotor policies via consistency distillation,.

Robo-ValueRL: Reliable Value Estimation for Offline-to-Online Reinforcement Learning Consistency policy: Accelerated visuomotor policies via consistency distillation,

Reference 29

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Observation fe0da0c2-cabb-49b3-b450-035efd82fe4c · outbound

This paper cites Learning from imperfect demonstrations from agents with varying dynamics,.

Robo-ValueRL: Reliable Value Estimation for Offline-to-Online Reinforcement Learning Learning from imperfect demonstrations from agents with varying dynamics,

Reference 30

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Observation e5838b69-9958-44a7-b038-f18b9a758597 · outbound

This paper cites Curating Demonstrations using Online Experience,.

Robo-ValueRL: Reliable Value Estimation for Offline-to-Online Reinforcement Learning Curating Demonstrations using Online Experience,

Reference 31

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Observation b63129a2-b76e-4db5-8709-cb0878d0d636 · outbound

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

Robo-ValueRL: Reliable Value Estimation for Offline-to-Online Reinforcement Learning Octo: An Open-Source Generalist Robot Policy,

Reference 32

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Observation 9cad58b3-f1b7-4482-996c-1e9d086702ba · outbound

This paper cites Xr-1: Towards versatile vision- language-action models via learning unified vision-motion representations,.

Robo-ValueRL: Reliable Value Estimation for Offline-to-Online Reinforcement Learning Xr-1: Towards versatile vision- language-action models via learning unified vision-motion representations,

Reference 33

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Observation 03b5fe24-5f32-4c28-886b-63ce8d60a4c2 · outbound

This paper cites A survey on offline reinforcement learning: Taxonomy, review, and open problems,.

Robo-ValueRL: Reliable Value Estimation for Offline-to-Online Reinforcement Learning A survey on offline reinforcement learning: Taxonomy, review, and open problems,

Reference 34

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Observation 20092fc2-7cd1-4b61-ac37-8abc71913b09 · outbound

This paper cites Offline reinforcement learning with implicit q-learning,.

Robo-ValueRL: Reliable Value Estimation for Offline-to-Online Reinforcement Learning Offline reinforcement learning with implicit q-learning,

Reference 35

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Observation 8f15ee8c-276a-4511-83e5-30b498f521ce · outbound

This paper cites Policy expansion for bridging offline-to-online reinforcement learning,.

Robo-ValueRL: Reliable Value Estimation for Offline-to-Online Reinforcement Learning Policy expansion for bridging offline-to-online reinforcement learning,

Reference 36

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Observation 70cea663-cafb-4c94-a5a9-5709e7c4cba8 · outbound

This paper cites Q-transformer: Scalable offline reinforcement learning via autoregressive q-functions,.

Robo-ValueRL: Reliable Value Estimation for Offline-to-Online Reinforcement Learning Q-transformer: Scalable offline reinforcement learning via autoregressive q-functions,

Reference 37

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Observation ca81e43d-d058-45b3-b7a0-2de550c049aa · outbound

This paper cites Finetuning from Offline Reinforcement Learning: Challenges, Trade-offs and Practical Solutions.

Robo-ValueRL: Reliable Value Estimation for Offline-to-Online Reinforcement Learning Finetuning from Offline Reinforcement Learning: Challenges, Trade-offs and Practical Solutions

Reference 38

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Observation 017da096-c3f4-4e4d-b475-bf100d9f0af6 · outbound

This paper cites Learning to predict by the methods of temporal differences,.

Robo-ValueRL: Reliable Value Estimation for Offline-to-Online Reinforcement Learning Learning to predict by the methods of temporal differences,

Reference 39

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This paper cites Analysis of temporal-diffference learning with function approximation,.

Robo-ValueRL: Reliable Value Estimation for Offline-to-Online Reinforcement Learning Analysis of temporal-diffference learning with function approximation,

Reference 40

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Observation a43b8e8c-b242-4990-aca5-fcafd790b9cc · outbound

This paper cites Fast gradient-descent methods for temporal-difference learning with linear function approximation,.

Robo-ValueRL: Reliable Value Estimation for Offline-to-Online Reinforcement Learning Fast gradient-descent methods for temporal-difference learning with linear function approximation,

Reference 41

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Robo-ValueRL: Reliable Value Estimation for Offline-to-Online Reinforcement Learning Human-level control through deep reinforcement learning,

Reference 42

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Observation 241cd020-8f64-4623-8456-a3dfb70ce679 · outbound

This paper cites Benchmarking deep reinforcement learning for continuous control,.

Robo-ValueRL: Reliable Value Estimation for Offline-to-Online Reinforcement Learning Benchmarking deep reinforcement learning for continuous control,

Reference 43

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Observation 624625ae-12fc-4932-a403-aa7e35dca02f · outbound

This paper cites Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor,.

Robo-ValueRL: Reliable Value Estimation for Offline-to-Online Reinforcement Learning Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor,

Reference 44

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Observation 3d6d0eaa-823d-4128-9f18-ba2cce5b14e1 · outbound

This paper cites A vision-language-action-critic model for robotic real-world reinforcement learning,.

Robo-ValueRL: Reliable Value Estimation for Offline-to-Online Reinforcement Learning A vision-language-action-critic model for robotic real-world reinforcement learning,

Reference 45

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This paper cites RL-VLM-f: Reinforcement learning from vision lan- guage foundation model feedback,.

Robo-ValueRL: Reliable Value Estimation for Offline-to-Online Reinforcement Learning RL-VLM-f: Reinforcement learning from vision lan- guage foundation model feedback,

Reference 46

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Observation b79ed692-067a-4099-ad10-64436323d7fb · outbound

This paper cites Rank2reward: Learning shaped reward functions from passive video,.

Robo-ValueRL: Reliable Value Estimation for Offline-to-Online Reinforcement Learning Rank2reward: Learning shaped reward functions from passive video,

Reference 47

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

Robo-ValueRL: Reliable Value Estimation for Offline-to-Online Reinforcement Learning Vision language models are in-context value learners,

Reference 48

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This paper cites Universal value function approximators,.

Robo-ValueRL: Reliable Value Estimation for Offline-to-Online Reinforcement Learning Universal value function approximators,

Reference 49

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Observation 89aca5ee-1b6f-4425-82bb-501a60a67579 · outbound

This paper cites ViVa: A Video-Generative Value Model for Robot Reinforcement Learning.

Robo-ValueRL: Reliable Value Estimation for Offline-to-Online Reinforcement Learning ViVa: A Video-Generative Value Model for Robot Reinforcement Learning

Reference 50

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Observation f395872d-654a-471d-9996-46b1785f3507 · outbound

This paper cites World Value Models for Robotic Manipulation.

Robo-ValueRL: Reliable Value Estimation for Offline-to-Online Reinforcement Learning World Value Models for Robotic Manipulation

Reference 51

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

Robo-ValueRL: Reliable Value Estimation for Offline-to-Online Reinforcement Learning PaliGemma: A versatile 3B VLM for transfer

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Robo-ValueRL: Reliable Value Estimation for Offline-to-Online Reinforcement Learning Sigmoid loss for language image pre-training,

Reference 53

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This paper cites Perceiver: General perception with iterative attention,.

Robo-ValueRL: Reliable Value Estimation for Offline-to-Online Reinforcement Learning Perceiver: General perception with iterative attention,

Reference 54

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Robo-ValueRL: Reliable Value Estimation for Offline-to-Online Reinforcement Learning Stop regressing: Training value functions via classification for scalable deep RL,

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

Robo-ValueRL: Reliable Value Estimation for Offline-to-Online Reinforcement Learning A reduction of imitation learning and structured prediction to no-regret online learning,

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$N_0$-VTLA: Scaling Vision-Tactile-Language-Action Model with Latent Tactile Tokens cites this paper.

$N_0$-VTLA: Scaling Vision-Tactile-Language-Action Model with Latent Tactile Tokens Robo-ValueRL: Reliable Value Estimation for Offline-to-Online Reinforcement Learning

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