Paper Citation Record · LEDGER

RynnValue: Scaling Robotic Value Foundation Models with Temporal Distance

As of 23 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2608.09853.

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

pith.paper-citation-record.v1
2608.09853 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T05:32:48.595901Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

35 of 35 outbound references displayed

verified exact1
verified fuzzy18
unresolved16
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c349d18c-dfb7-465e-8a73-9343cca2bf25 · outbound

This paper cites Qwen3-VL Technical Report.

RynnValue: Scaling Robotic Value Foundation Models with Temporal Distance Qwen3-VL Technical Report

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-11T05:32:48.466505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a165dae4-3b6d-41df-9a56-847f0b49e8cd · outbound

This paper cites InProceedings of the Conference on Robot Learning, 2025.

RynnValue: Scaling Robotic Value Foundation Models with Temporal Distance InProceedings of the Conference on Robot Learning, 2025

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:32:49.178305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c0dda3ab-8d52-4e4a-a976-39ccacb6bd50 · outbound

This paper cites AgiBot World Colosseum: A large-scale manipulation platform for scalable and intelligent embodied systems.

RynnValue: Scaling Robotic Value Foundation Models with Temporal Distance AgiBot World Colosseum: A large-scale manipulation platform for scalable and intelligent embodied systems

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:32:49.166567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b799a5ea-064d-45b4-92c3-4123b836f69b · outbound

This paper cites LeRobot: State-of-the-art machine learning for real-world robotics in PyTorch.https://github.com/huggingface/lerobot, 2024.

RynnValue: Scaling Robotic Value Foundation Models with Temporal Distance LeRobot: State-of-the-art machine learning for real-world robotics in PyTorch.https://github.com/huggingface/lerobot, 2024

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:32:49.154728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7e8ab287-61fa-4750-864f-0216bfb4a877 · outbound

This paper cites RynnBrain: Open embodied foundation models.arXiv preprint arXiv:2602.14979, 2026.

RynnValue: Scaling Robotic Value Foundation Models with Temporal Distance RynnBrain: Open embodied foundation models.arXiv preprint arXiv:2602.14979, 2026

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-11T05:32:48.482927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19fbaae0-0730-4934-bedd-9cfe902fd8d1 · outbound

This paper cites Unified language model pre-training for natural language understanding and generation.

RynnValue: Scaling Robotic Value Foundation Models with Temporal Distance Unified language model pre-training for natural language understanding and generation

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:32:49.142533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f8a4e68f-23c5-4767-aaa2-07c55c9d5afc · outbound

This paper cites Stop regressing: Training value functions via classification for scalable deep RL.

RynnValue: Scaling Robotic Value Foundation Models with Temporal Distance Stop regressing: Training value functions via classification for scalable deep RL

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:32:49.130489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2a46edb3-503a-43c4-9187-a08d6b501b85 · outbound

This paper cites Shortcut learning in deep neural networks.Nature Machine Intelligence, 2(11):665–673, 2020.

RynnValue: Scaling Robotic Value Foundation Models with Temporal Distance Shortcut learning in deep neural networks.Nature Machine Intelligence, 2(11):665–673, 2020

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T05:32:48.494806Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de6652ff-49bc-42fe-b6e4-88f5c5f3417f · outbound

This paper cites Mastering diverse control tasks through world models.Nature, pages 1–7, 2025.

RynnValue: Scaling Robotic Value Foundation Models with Temporal Distance Mastering diverse control tasks through world models.Nature, pages 1–7, 2025

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T05:32:48.498440Z

Source-reported events for the cited work

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Observation aa50b288-3abc-48ea-b6b0-5f897cfba0a5 · outbound

This paper cites EgoDex: Learning Dexterous Manipulation from Large-Scale Egocentric Video.

RynnValue: Scaling Robotic Value Foundation Models with Temporal Distance EgoDex: Learning Dexterous Manipulation from Large-Scale Egocentric Video

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T05:32:48.502155Z

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Observation ad72e0b7-576f-4245-9a15-84d6cd9c8db4 · outbound

This paper cites FiRE: En- hancing MLLMs with fine-grained context learning for complex image retrieval.

RynnValue: Scaling Robotic Value Foundation Models with Temporal Distance FiRE: En- hancing MLLMs with fine-grained context learning for complex image retrieval

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:32:49.103143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 745b0c2d-1faa-40da-87ac-81c117d40981 · outbound

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

RynnValue: Scaling Robotic Value Foundation Models with Temporal Distance $\pi^{*}_{0.6}$: a VLA That Learns From Experience

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T05:32:48.509349Z

Source-reported events for the cited work

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Observation bd3379af-6845-456e-b65e-1bc494e9ebef · outbound

This paper cites Galaxea Open-World Dataset and G0 Dual-System VLA Model.

RynnValue: Scaling Robotic Value Foundation Models with Temporal Distance Galaxea Open-World Dataset and G0 Dual-System VLA Model

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T05:32:48.513096Z

Source-reported events for the cited work

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Observation 7dc2d07c-fa61-422c-af2d-18e7ea62a824 · outbound

This paper cites Offline reinforcement learning with implicit Q-learning.

RynnValue: Scaling Robotic Value Foundation Models with Temporal Distance Offline reinforcement learning with implicit Q-learning

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:32:49.090913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1dbf5659-3f55-40b9-acd4-6ab1829be227 · outbound

This paper cites RoboReward: General-purpose vision-language reward models for robotics.arXiv preprint arXiv:2601.00675, 2026.

RynnValue: Scaling Robotic Value Foundation Models with Temporal Distance RoboReward: General-purpose vision-language reward models for robotics.arXiv preprint arXiv:2601.00675, 2026

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-11T05:32:48.520313Z

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Unavailable: canonical work link unavailable.

Observation 5d2bf1e1-856a-4b59-a0af-a7cebd03f51c · outbound

This paper cites Robometer: Scaling General-Purpose Robotic Reward Models via Trajectory Comparisons.

RynnValue: Scaling Robotic Value Foundation Models with Temporal Distance Robometer: Scaling General-Purpose Robotic Reward Models via Trajectory Comparisons

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-11T05:32:48.523516Z

Source-reported events for the cited work

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Observation ed2d972c-5ef6-4251-9a2b-198ee893ba93 · outbound

This paper cites RDT-1B: a diffusion foundation model for bimanual manipulation.

RynnValue: Scaling Robotic Value Foundation Models with Temporal Distance RDT-1B: a diffusion foundation model for bimanual manipulation

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:32:49.079424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0e5e173b-0dee-4c70-ab77-98cba3480e39 · outbound

This paper cites TimeRewarder: Learning Dense Reward from Passive Videos via Frame-wise Temporal Distance.

RynnValue: Scaling Robotic Value Foundation Models with Temporal Distance TimeRewarder: Learning Dense Reward from Passive Videos via Frame-wise Temporal Distance

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-11T05:32:48.531404Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b42df604-629c-450a-9164-e1904295e3f3 · outbound

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

RynnValue: Scaling Robotic Value Foundation Models with Temporal Distance Vision language models are in-context value learners

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:32:49.066740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 22c029c0-64f5-40b1-b666-522eca1ada82 · outbound

This paper cites RoboTwin: Dual-arm robot benchmark with generative digital twins.

RynnValue: Scaling Robotic Value Foundation Models with Temporal Distance RoboTwin: Dual-arm robot benchmark with generative digital twins

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:32:49.055115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 429b123f-dce8-4f35-b199-24c4e74a02f2 · outbound

This paper cites Bigger, Regularized, Optimistic: scaling for compute and sample efficient continuous control.

RynnValue: Scaling Robotic Value Foundation Models with Temporal Distance Bigger, Regularized, Optimistic: scaling for compute and sample efficient continuous control

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:32:49.042485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c03cdd45-37ca-480c-8f42-353d81d8aec2 · outbound

This paper cites Policy invariance under reward transformations: Theory and application to reward shaping.

RynnValue: Scaling Robotic Value Foundation Models with Temporal Distance Policy invariance under reward transformations: Theory and application to reward shaping

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:32:49.029426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 79937961-2ee2-47c2-ad8b-c6a635302651 · outbound

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

RynnValue: Scaling Robotic Value Foundation Models with Temporal Distance Open X-Embodiment: Robotic learning datasets and RT-X models

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:32:49.017158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1eaa496b-71d8-4200-8775-21f1bb96b99e · outbound

This paper cites John Wiley & Sons, 2014.

RynnValue: Scaling Robotic Value Foundation Models with Temporal Distance John Wiley & Sons, 2014

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-11T05:32:48.554182Z

Source-reported events for the cited work

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Observation 00dd8569-ffb3-42e3-a161-732f1e7c0f34 · outbound

This paper cites Universal value function approximators.

RynnValue: Scaling Robotic Value Foundation Models with Temporal Distance Universal value function approximators

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:32:48.996869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 28b13ea7-eef2-4ee2-857f-41579df08142 · outbound

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

RynnValue: Scaling Robotic Value Foundation Models with Temporal Distance Robo-Dopamine: General process reward modeling for high-precision robotic manipulation.arXiv preprint arXiv:2512.23703, 2025

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-11T05:32:48.561306Z

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Unavailable: canonical work link unavailable.

Observation 351c74ec-0a12-41bf-af5b-3d3551480249 · outbound

This paper cites InternData-A1: Pioneering high-fidelity synthetic data for pre-training generalist policy.

RynnValue: Scaling Robotic Value Foundation Models with Temporal Distance InternData-A1: Pioneering high-fidelity synthetic data for pre-training generalist policy

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:32:48.983520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a5fcf16e-2549-4d75-aa90-c4fffd07e0dd · outbound

This paper cites Steering your diffusion policy with latent space reinforcement learning.

RynnValue: Scaling Robotic Value Foundation Models with Temporal Distance Steering your diffusion policy with latent space reinforcement learning

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:32:48.971221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2e79d696-80aa-40b4-895c-54c0156463e8 · outbound

This paper cites RoboMIND: Benchmark on Multi-embodiment Intelligence Normative Data for Robot Manipulation.

RynnValue: Scaling Robotic Value Foundation Models with Temporal Distance RoboMIND: Benchmark on Multi-embodiment Intelligence Normative Data for Robot Manipulation

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-11T05:32:48.572467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c7a8e4e-0052-43df-9882-be2c793ad717 · outbound

This paper cites RoboCOIN: An Open-Sourced Bimanual Robotic Data Collection for Integrated Manipulation.

RynnValue: Scaling Robotic Value Foundation Models with Temporal Distance RoboCOIN: An Open-Sourced Bimanual Robotic Data Collection for Integrated Manipulation

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-11T05:32:48.576131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3522ce36-9afb-4e4e-93c4-af104b06265a · outbound

This paper cites RARM: Confidence-Gated Progress Reward Modeling for RL in Manipulation.

RynnValue: Scaling Robotic Value Foundation Models with Temporal Distance RARM: Confidence-Gated Progress Reward Modeling for RL in Manipulation

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-08-11T05:32:48.647549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2bce8115-83ad-4522-93cf-d1bc173ff88f · outbound

This paper cites an unresolved cited work.

RynnValue: Scaling Robotic Value Foundation Models with Temporal Distance Unresolved cited work

Reference 32

Resolution: unresolved; raw_fallback, observed 2026-08-11T05:32:48.959879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8afe2dda-66af-4c8e-8901-f071bac1b9b5 · outbound

This paper cites ReWiND: Language-guided rewards teach robot policies without new demonstrations.

RynnValue: Scaling Robotic Value Foundation Models with Temporal Distance ReWiND: Language-guided rewards teach robot policies without new demonstrations

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:32:48.947428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a9204c97-86ea-404b-927b-afec7cd48479 · outbound

This paper cites A generalist pair-wise progress critic model for vision-language-action robots.

RynnValue: Scaling Robotic Value Foundation Models with Temporal Distance A generalist pair-wise progress critic model for vision-language-action robots

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:32:48.934880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a66f0281-1e28-43ff-b182-15ed73fbc7d5 · outbound

This paper cites X-VLA: Soft-Prompted Transformer as Scalable Cross-Embodiment Vision-Language-Action Model.

RynnValue: Scaling Robotic Value Foundation Models with Temporal Distance X-VLA: Soft-Prompted Transformer as Scalable Cross-Embodiment Vision-Language-Action Model

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-11T05:32:48.595901Z

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Pith citing papers

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