Paper Citation Record · LEDGER

DREAMSTEER: Latent World Models Can Steer VLA Policies During Deployment Without Any Finetuning

As of 18 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2607.02865.

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

pith.paper-citation-record.v1
2607.02865 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-12T06:30:52.991927Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

27 of 27 outbound references displayed

verified exact0
verified fuzzy0
unresolved26
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c1146efb-66aa-4b59-a26a-36459f0dc1a9 · outbound

This paper cites $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control.

DREAMSTEER: Latent World Models Can Steer VLA Policies During Deployment Without Any Finetuning $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control

Reference 1

Resolution: malformed identifier; no resolver link, observed 2026-07-12T06:30:52.991927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 64221e5e-6d22-4f82-9290-a74758c46778 · outbound

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

DREAMSTEER: Latent World Models Can Steer VLA Policies During Deployment Without Any Finetuning GR00T N1: An Open Foundation Model for Generalist Humanoid Robots

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-12T06:30:52.991927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d96f0ca-ac87-450d-a16c-e39b29c72f8b · outbound

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

DREAMSTEER: Latent World Models Can Steer VLA Policies During Deployment Without Any Finetuning OpenVLA: An Open-Source Vision-Language-Action Model

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-12T06:30:52.991927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa36fe65-92d6-45f9-9d04-482bf3bf733a · outbound

This paper cites Zitkovich, T.

DREAMSTEER: Latent World Models Can Steer VLA Policies During Deployment Without Any Finetuning Zitkovich, T

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-12T06:30:52.991927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a49a82a-8f7e-4a96-a639-eb76a525637d · outbound

This paper cites FAST: Efficient Action Tokenization for Vision-Language-Action Models.

DREAMSTEER: Latent World Models Can Steer VLA Policies During Deployment Without Any Finetuning FAST: Efficient Action Tokenization for Vision-Language-Action Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-12T06:30:52.991927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c28072bc-6795-438a-9d2b-c3d677e36c6b · outbound

This paper cites an unresolved cited work.

DREAMSTEER: Latent World Models Can Steer VLA Policies During Deployment Without Any Finetuning Unresolved cited work

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-12T06:30:52.991927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9fc04953-99ec-4162-b636-64b71bd8effb · outbound

This paper cites an unresolved cited work.

DREAMSTEER: Latent World Models Can Steer VLA Policies During Deployment Without Any Finetuning Unresolved cited work

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-12T06:30:52.991927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5830d308-7ea2-4567-bdbb-e41680f18640 · outbound

This paper cites Cosmos World Foundation Model Platform for Physical AI.

DREAMSTEER: Latent World Models Can Steer VLA Policies During Deployment Without Any Finetuning Cosmos World Foundation Model Platform for Physical AI

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-12T06:30:52.991927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 783084e3-26a4-4466-b38b-176fbcc65ac0 · outbound

This paper cites V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning.

DREAMSTEER: Latent World Models Can Steer VLA Policies During Deployment Without Any Finetuning V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-12T06:30:52.991927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04ef791f-1628-4664-903a-79dd79d461d0 · outbound

This paper cites an unresolved cited work.

DREAMSTEER: Latent World Models Can Steer VLA Policies During Deployment Without Any Finetuning Unresolved cited work

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-12T06:30:52.991927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab53aa8e-5124-40d6-97dc-281a2ecd8779 · outbound

This paper cites DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset.

DREAMSTEER: Latent World Models Can Steer VLA Policies During Deployment Without Any Finetuning DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-12T06:30:52.991927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0da31749-55ee-445a-a6b4-02101293d13a · outbound

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

DREAMSTEER: Latent World Models Can Steer VLA Policies During Deployment Without Any Finetuning Steering Your Generalists: Improving Robotic Foundation Models via Value Guidance

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-12T06:30:52.991927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d0e9dd3-8709-47ac-879a-b08065b458ee · outbound

This paper cites From Foresight to Forethought: VLM-In-the-Loop Policy Steering via Latent Alignment.

DREAMSTEER: Latent World Models Can Steer VLA Policies During Deployment Without Any Finetuning From Foresight to Forethought: VLM-In-the-Loop Policy Steering via Latent Alignment

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-12T06:30:52.991927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7091cc5b-aad9-4f0c-a261-c9a0356bd372 · outbound

This paper cites an unresolved cited work.

DREAMSTEER: Latent World Models Can Steer VLA Policies During Deployment Without Any Finetuning Unresolved cited work

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-12T06:30:52.991927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d033ea78-2562-407e-9538-e5e32bf7a7ff · outbound

This paper cites an unresolved cited work.

DREAMSTEER: Latent World Models Can Steer VLA Policies During Deployment Without Any Finetuning Unresolved cited work

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-12T06:30:52.991927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef0bbe42-ee9f-4cfc-ade6-eb1c1992576b · outbound

This paper cites Higuera, S.

DREAMSTEER: Latent World Models Can Steer VLA Policies During Deployment Without Any Finetuning Higuera, S

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-12T06:30:52.991927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 996fe005-d598-4cbe-b064-e1dbc543a5ca · outbound

This paper cites an unresolved cited work.

DREAMSTEER: Latent World Models Can Steer VLA Policies During Deployment Without Any Finetuning Unresolved cited work

Reference 17

Resolution: unresolved; no resolver link, observed 2026-07-12T06:30:52.991927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b811d9e3-60a7-4816-990f-4eac89491ccf · outbound

This paper cites LaDi-WM: A Latent Diffusion-based World Model for Predictive Manipulation.

DREAMSTEER: Latent World Models Can Steer VLA Policies During Deployment Without Any Finetuning LaDi-WM: A Latent Diffusion-based World Model for Predictive Manipulation

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-12T06:30:52.991927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 64f6cbc1-08c1-4829-bb48-ee16a1191a79 · outbound

This paper cites AgiBot World Colosseo: A Large-scale Manipulation Platform for Scalable and Intelligent Embodied Systems.

DREAMSTEER: Latent World Models Can Steer VLA Policies During Deployment Without Any Finetuning AgiBot World Colosseo: A Large-scale Manipulation Platform for Scalable and Intelligent Embodied Systems

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-12T06:30:52.991927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1eccdb72-2eb7-44a3-b526-a7c1d303375d · outbound

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

DREAMSTEER: Latent World Models Can Steer VLA Policies During Deployment Without Any Finetuning EgoDex: Learning Dexterous Manipulation from Large-Scale Egocentric Video

Reference 20

Resolution: unresolved; no resolver link, observed 2026-07-12T06:30:52.991927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb6eaa51-3ddb-49c3-97d7-318a837b73ef · outbound

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

DREAMSTEER: Latent World Models Can Steer VLA Policies During Deployment Without Any Finetuning RoboMIND: Benchmark on Multi-embodiment Intelligence Normative Data for Robot Manipulation

Reference 21

Resolution: unresolved; no resolver link, observed 2026-07-12T06:30:52.991927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8510ea1b-5081-4b56-be8a-5853712db0e0 · outbound

This paper cites Ctrl-World: A Controllable Generative World Model for Robot Manipulation.

DREAMSTEER: Latent World Models Can Steer VLA Policies During Deployment Without Any Finetuning Ctrl-World: A Controllable Generative World Model for Robot Manipulation

Reference 22

Resolution: unresolved; no resolver link, observed 2026-07-12T06:30:52.991927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73345b01-0162-4260-b562-717921178833 · outbound

This paper cites Spatial-Temporal Transformer Networks for Traffic Flow Forecasting.

DREAMSTEER: Latent World Models Can Steer VLA Policies During Deployment Without Any Finetuning Spatial-Temporal Transformer Networks for Traffic Flow Forecasting

Reference 23

Resolution: unresolved; no resolver link, observed 2026-07-12T06:30:52.991927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b0ab034-553d-4174-953a-c7c70ea6e839 · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

DREAMSTEER: Latent World Models Can Steer VLA Policies During Deployment Without Any Finetuning DINOv2: Learning Robust Visual Features without Supervision

Reference 24

Resolution: unresolved; no resolver link, observed 2026-07-12T06:30:52.991927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a09c8a12-1c0c-4bec-a081-e013c4c9f77d · outbound

This paper cites an unresolved cited work.

DREAMSTEER: Latent World Models Can Steer VLA Policies During Deployment Without Any Finetuning Unresolved cited work

Reference 25

Resolution: unresolved; no resolver link, observed 2026-07-12T06:30:52.991927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c11dec8b-73ca-4cb4-9f9f-d417ccbd1895 · outbound

This paper cites Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling.

DREAMSTEER: Latent World Models Can Steer VLA Policies During Deployment Without Any Finetuning Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling

Reference 26

Resolution: unresolved; no resolver link, observed 2026-07-12T06:30:52.991927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21400062-d10f-4718-8c64-0637f50f45f0 · outbound

This paper cites Pick up the{phone}and place it into the brown box.

DREAMSTEER: Latent World Models Can Steer VLA Policies During Deployment Without Any Finetuning Pick up the{phone}and place it into the brown box

Reference 27

Resolution: unresolved; no resolver link, observed 2026-07-12T06:30:52.991927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.