Paper Citation Record · LEDGER

$\omega$-EVA: Envision, Verify, and Act with Latent Interactive World Models

As of 23 July 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2606.09457.

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

pith.paper-citation-record.v1
2606.09457 v2

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-27T16:10:02.176202Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-07-23T06:31:01.910684+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 exact30
verified fuzzy0
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch4

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6f688c0b-582e-4370-83c0-de47d401afb9 · outbound

This paper cites Feedback World Model Enables Precise Guidance of Diffusion Policy.

$\omega$-EVA: Envision, Verify, and Act with Latent Interactive World Models Feedback World Model Enables Precise Guidance of Diffusion Policy

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-07-03T02:07:33.764478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation cc50c250-5447-4a06-98c5-869a160352c6 · outbound

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

$\omega$-EVA: Envision, Verify, and Act with Latent Interactive World Models V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-07-03T02:07:33.725718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation ffe6c304-71af-45bc-9709-cf21262fe7cd · outbound

This paper cites LeJEPA: Provable and Scalable Self-Supervised Learning Without the Heuristics.

$\omega$-EVA: Envision, Verify, and Act with Latent Interactive World Models LeJEPA: Provable and Scalable Self-Supervised Learning Without the Heuristics

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-07-03T02:07:33.691042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation c2f94f4e-2f61-418e-9306-efffbdd95c89 · outbound

This paper cites Gen2Act: Human Video Generation in Novel Scenarios enables Generalizable Robot Manipulation.

$\omega$-EVA: Envision, Verify, and Act with Latent Interactive World Models Gen2Act: Human Video Generation in Novel Scenarios enables Generalizable Robot Manipulation

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-07-03T02:07:33.688051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 70942f43-b3d8-43ab-9de3-f2ffd002a2bd · outbound

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

$\omega$-EVA: Envision, Verify, and Act with Latent Interactive World Models $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-07-03T02:07:33.767288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 61777c45-1a68-447a-a233-34aedb9a65ef · outbound

This paper cites RoboTwin 2.0: A Scalable Data Generator and Benchmark with Strong Domain Randomization for Robust Bimanual Robotic Manipulation.

$\omega$-EVA: Envision, Verify, and Act with Latent Interactive World Models RoboTwin 2.0: A Scalable Data Generator and Benchmark with Strong Domain Randomization for Robust Bimanual Robotic Manipulation

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-07-03T02:07:33.761738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 38d33c5a-ab73-4cd3-ab23-1f8b59dc5106 · outbound

This paper cites ACM Computing Surveys , volume=.

$\omega$-EVA: Envision, Verify, and Act with Latent Interactive World Models ACM Computing Surveys , volume=

Reference 7

Resolution: metadata mismatch; doi, observed 2026-06-27T16:11:01.775616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation dbf022fd-ad39-4dc4-9d83-98b3745b7c0c · outbound

This paper cites LIBERO-Plus: In-depth Robustness Analysis of Vision-Language-Action Models.

$\omega$-EVA: Envision, Verify, and Act with Latent Interactive World Models LIBERO-Plus: In-depth Robustness Analysis of Vision-Language-Action Models

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-07-03T02:07:33.773062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation b591e988-d614-48c6-98d5-148c7a40b6cb · outbound

This paper cites Vidar: Embodied Video Diffusion Model for Generalist Manipulation.

$\omega$-EVA: Envision, Verify, and Act with Latent Interactive World Models Vidar: Embodied Video Diffusion Model for Generalist Manipulation

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-07-03T02:07:33.680800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation ae7fcded-4d8b-4a92-81e3-017045b57881 · outbound

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

$\omega$-EVA: Envision, Verify, and Act with Latent Interactive World Models Ctrl-World: A Controllable Generative World Model for Robot Manipulation

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-07-03T02:07:33.707275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 76c38902-be55-4051-bde7-408f94df6669 · outbound

This paper cites World Models.

$\omega$-EVA: Envision, Verify, and Act with Latent Interactive World Models World Models

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-07-03T02:07:33.735971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation db6dc3bb-3205-4c65-b68f-03449859709c · outbound

This paper cites Dream to Control: Learning Behaviors by Latent Imagination.

$\omega$-EVA: Envision, Verify, and Act with Latent Interactive World Models Dream to Control: Learning Behaviors by Latent Imagination

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-07-03T02:07:33.701102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 83be8cc1-b81c-4ecb-aefa-35fc3f405046 · outbound

This paper cites Mastering Atari with Discrete World Models.

$\omega$-EVA: Envision, Verify, and Act with Latent Interactive World Models Mastering Atari with Discrete World Models

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-07-03T02:07:33.756032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 61a38464-12c7-4f85-abac-ef976e23d728 · outbound

This paper cites Mastering Diverse Domains through World Models.

$\omega$-EVA: Envision, Verify, and Act with Latent Interactive World Models Mastering Diverse Domains through World Models

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-07-03T02:07:33.781951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 9e5dabfd-bfe9-43e9-bbf9-01dcdcecdf51 · outbound

This paper cites World Model for Robot Learning: A Comprehensive Survey.

$\omega$-EVA: Envision, Verify, and Act with Latent Interactive World Models World Model for Robot Learning: A Comprehensive Survey

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-07-03T02:07:33.729112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 6e0fb9b7-d161-40a4-b61b-d01c06ed4296 · outbound

This paper cites Video Prediction Policy: A Generalist Robot Policy with Predictive Visual Representations.

$\omega$-EVA: Envision, Verify, and Act with Latent Interactive World Models Video Prediction Policy: A Generalist Robot Policy with Predictive Visual Representations

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-07-03T02:07:33.697821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation ab6f4436-1cec-439a-8c56-b4cc4ace3974 · outbound

This paper cites $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization.

$\omega$-EVA: Envision, Verify, and Act with Latent Interactive World Models $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-07-03T02:07:33.694957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation db157258-8e2a-4bba-8ed2-5368b6c131cc · outbound

This paper cites Fine-Tuning Vision-Language-Action Models: Optimizing Speed and Success.

$\omega$-EVA: Envision, Verify, and Act with Latent Interactive World Models Fine-Tuning Vision-Language-Action Models: Optimizing Speed and Success

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-07-03T02:07:33.713925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 36162a11-85fc-4999-8654-7252ac6c4ef1 · outbound

This paper cites Cosmos Policy: Fine-Tuning Video Models for Visuomotor Control and Planning.

$\omega$-EVA: Envision, Verify, and Act with Latent Interactive World Models Cosmos Policy: Fine-Tuning Video Models for Visuomotor Control and Planning

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-07-03T02:07:33.722739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation a93046ee-b3de-45b0-b97e-c76160e82b72 · outbound

This paper cites Causal World Modeling for Robot Control.

$\omega$-EVA: Envision, Verify, and Act with Latent Interactive World Models Causal World Modeling for Robot Control

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-07-03T02:07:33.776379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation df063f08-2993-4ee0-b4f9-c6d6fd1db32f · outbound

This paper cites Unified Video Action Model.

$\omega$-EVA: Envision, Verify, and Act with Latent Interactive World Models Unified Video Action Model

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-07-03T02:07:33.716539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 9d5e6619-bf0d-4f5f-9658-ed30c76ec6b4 · outbound

This paper cites Flow Matching for Generative Modeling.

$\omega$-EVA: Envision, Verify, and Act with Latent Interactive World Models Flow Matching for Generative Modeling

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-07-03T02:07:33.748776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 2c665a1b-765c-4372-a68f-c5120ee2bc71 · outbound

This paper cites RDT-1B: A Diffusion Foundation Model for Bimanual Manipulation.

$\omega$-EVA: Envision, Verify, and Act with Latent Interactive World Models RDT-1B: A Diffusion Foundation Model for Bimanual Manipulation

Reference 23

Resolution: unresolved; no resolver link, observed 2026-06-27T16:10:02.176202Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 462e6594-bd69-49ee-bb7c-2f578b6c608b · outbound

This paper cites Being-H0: Vision-Language-Action Pretraining from Large-Scale Human Videos.

$\omega$-EVA: Envision, Verify, and Act with Latent Interactive World Models Being-H0: Vision-Language-Action Pretraining from Large-Scale Human Videos

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-07-03T02:07:33.742396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 1d142dad-11b0-4066-9154-ed78934e066b · outbound

This paper cites Being-h0.

$\omega$-EVA: Envision, Verify, and Act with Latent Interactive World Models Being-h0

Reference 25

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T02:07:33.704472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation fcef769b-1591-4010-9557-79ca00da8ff5 · outbound

This paper cites LeWorldModel: Stable End-to-End Joint-Embedding Predictive Architecture from Pixels.

$\omega$-EVA: Envision, Verify, and Act with Latent Interactive World Models LeWorldModel: Stable End-to-End Joint-Embedding Predictive Architecture from Pixels

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-07-03T02:07:33.732395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation df26095a-5171-40cd-9593-a71ce8612c56 · outbound

This paper cites JEPA-VLA: Video predictive embedding is needed for VLA models.arXiv preprint arXiv:2602.11832.

$\omega$-EVA: Envision, Verify, and Act with Latent Interactive World Models JEPA-VLA: Video predictive embedding is needed for VLA models.arXiv preprint arXiv:2602.11832

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-07-03T02:07:33.683970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation f2b7d7d3-8445-4a6c-bb68-336a614af7b7 · outbound

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

$\omega$-EVA: Envision, Verify, and Act with Latent Interactive World Models FAST: Efficient Action Tokenization for Vision-Language-Action Models

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-07-03T02:07:33.779036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation f885828f-7fef-4a48-a26b-426292be06c1 · outbound

This paper cites DINOv3.

$\omega$-EVA: Envision, Verify, and Act with Latent Interactive World Models DINOv3

Reference 29

Resolution: metadata mismatch; local_arxiv, observed 2026-07-03T02:07:33.719332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation d84a3ee0-5ae0-4add-afd8-5e16874f3d5b · outbound

This paper cites Vla-jepa: Enhancing vision-language-action model with latent world model.

$\omega$-EVA: Envision, Verify, and Act with Latent Interactive World Models Vla-jepa: Enhancing vision-language-action model with latent world model

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-07-03T02:07:33.745788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 8b13e8a5-0de8-403b-a920-c7a48c0969c7 · outbound

This paper cites Gigaworld-0: World models as data engine to empower embodied ai.

$\omega$-EVA: Envision, Verify, and Act with Latent Interactive World Models Gigaworld-0: World models as data engine to empower embodied ai

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-07-03T02:07:33.758994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 4494f7a0-1c9d-4f0c-a5b7-418fac2e3b48 · outbound

This paper cites Motubrain: An Advanced World Action Model for Robot Control.

$\omega$-EVA: Envision, Verify, and Act with Latent Interactive World Models Motubrain: An Advanced World Action Model for Robot Control

Reference 32

Resolution: verified exact; local_arxiv, observed 2026-07-03T02:07:33.710600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 04c0af78-6ba4-44aa-a7b4-65ba0499e32d · outbound

This paper cites World Action Models: The Next Frontier in Embodied AI.

$\omega$-EVA: Envision, Verify, and Act with Latent Interactive World Models World Action Models: The Next Frontier in Embodied AI

Reference 33

Resolution: verified exact; local_arxiv, observed 2026-07-03T02:07:33.770339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation a30a66c3-5e75-4ec6-850c-45c01e01eb88 · outbound

This paper cites arXiv preprint arXiv:2603.17240 , year=.

$\omega$-EVA: Envision, Verify, and Act with Latent Interactive World Models arXiv preprint arXiv:2603.17240 , year=

Reference 34

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T02:07:33.738896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 573e763b-97c7-454e-b6f7-103df603cf1b · outbound

This paper cites Act2goal: From world model to general goal-conditioned policy.

$\omega$-EVA: Envision, Verify, and Act with Latent Interactive World Models Act2goal: From world model to general goal-conditioned policy

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-07-03T02:07:33.753196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Pith citing papers

No inbound Pith citation observations are available.