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Paper Citation Record · LEDGER

RynnWorld-4D: 4D Embodied World Models for Robotic Manipulation

As of 18 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 1 inbound Pith citation observation for arXiv:2607.06559.

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

pith.paper-citation-record.v1
2607.06559 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-08T02:00:30.551638Z

measured 39 of 39 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T00:04:10.767303Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

38 of 38 outbound references displayed

  • verified exact33
  • verified fuzzy0
  • unresolved1
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch4

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7f8801d9-ce86-4c97-9ca1-dd9d1abc1c67 · outbound

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

RynnWorld-4D: 4D Embodied World Models for Robotic Manipulation Cosmos World Foundation Model Platform for Physical AI

Reference 1

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local_arxiv, observed 2026-07-08T02:04:26.164864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation e4c5534d-c23a-4905-8f2c-f1520ae446f0 · outbound

This paper cites World Simulation with Video Foundation Models for Physical AI.

RynnWorld-4D: 4D Embodied World Models for Robotic Manipulation World Simulation with Video Foundation Models for Physical AI

Reference 2

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local_arxiv, observed 2026-07-08T02:04:26.176469Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 68c39c6a-ac25-4866-a5f4-d211a2525e0b · outbound

This paper cites Qwen3-VL Technical Report.

RynnWorld-4D: 4D Embodied World Models for Robotic Manipulation Qwen3-VL Technical Report

Reference 3

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local_arxiv, observed 2026-07-08T02:04:26.200280Z

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Observation 6583d759-8629-4502-8b43-2642b36b575a · outbound

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

RynnWorld-4D: 4D Embodied World Models for Robotic Manipulation Gen2Act: Human Video Generation in Novel Scenarios enables Generalizable Robot Manipulation

Reference 4

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local_arxiv, observed 2026-07-08T02:04:26.178857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-08T02:00:30.551638Z digest=sha256:f121a40ea9f7074f233d1124c224eeccecdbfc6288de2a2a3f7fae9524defa58

Observation 5b04cdfa-182e-458b-b090-879577678e0a · outbound

This paper cites Motus: A Unified Latent Action World Model.

RynnWorld-4D: 4D Embodied World Models for Robotic Manipulation Motus: A Unified Latent Action World Model

Reference 5

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local_arxiv, observed 2026-07-08T02:04:26.196644Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-08T02:00:30.551638Z digest=sha256:2f4bf89d4199406842828c8f79db050f809a4e86310e9dfc808a4482f3e35512

Observation f03dc6e0-9b93-43a8-b485-e4d6a150e060 · outbound

This paper cites Zero-Shot Robotic Manipulation with Pretrained Image-Editing Diffusion Models.

RynnWorld-4D: 4D Embodied World Models for Robotic Manipulation Zero-Shot Robotic Manipulation with Pretrained Image-Editing Diffusion Models

Reference 6

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local_arxiv, observed 2026-07-08T02:04:26.193832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-08T02:00:30.551638Z digest=sha256:1988698a45f378a2eff8080ddcb471e03f399df4c2f388bf379707fda84331cc

Observation 390b52be-2d5c-413a-a8be-8053ebbc1676 · outbound

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

RynnWorld-4D: 4D Embodied World Models for Robotic Manipulation $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control

Reference 7

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local_arxiv, observed 2026-07-08T02:04:26.185240Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-08T02:00:30.551638Z digest=sha256:53f4c12c9994913911ca7010c2651d946d503947a95adaa2d39d715c3ec9a723

Observation 3a1154a1-adac-47e8-8145-f5131992579a · outbound

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

RynnWorld-4D: 4D Embodied World Models for Robotic Manipulation AgiBot World Colosseo: A Large-scale Manipulation Platform for Scalable and Intelligent Embodied Systems

Reference 8

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local_arxiv, observed 2026-07-08T02:04:26.203440Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-08T02:00:30.551638Z digest=sha256:a5ec30e0fd97810410c24e79b9c60be28d106e3f35aeab52b6714d6eee2bb400

Observation 55a64112-2b24-402b-bef8-868b3274f50f · outbound

This paper cites 4DNeX: Feed-Forward 4D Generative Modeling Made Easy.

RynnWorld-4D: 4D Embodied World Models for Robotic Manipulation 4DNeX: Feed-Forward 4D Generative Modeling Made Easy

Reference 9

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local_arxiv, observed 2026-07-08T02:04:26.160122Z

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source=pdf_text observed=2026-07-08T02:00:30.551638Z digest=sha256:f356071eb93872b66535d27292fda491cc022ff12683158de0eda324b32cb1a7

Observation 3cda0c82-6f6a-46e0-a67f-8cec394645d5 · outbound

This paper cites Video Language Planning.

RynnWorld-4D: 4D Embodied World Models for Robotic Manipulation Video Language Planning

Reference 10

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Observation 6969a39b-5885-48a6-8f50-6d14539ade78 · outbound

This paper cites Articulat3D: Reconstructing Articulated Digital Twins From Monocular Videos with Geometric and Motion Constraints.

RynnWorld-4D: 4D Embodied World Models for Robotic Manipulation Articulat3D: Reconstructing Articulated Digital Twins From Monocular Videos with Geometric and Motion Constraints

Reference 11

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source=pdf_text observed=2026-07-08T02:00:30.551638Z digest=sha256:f7daecf304f128eddf821448aabefc365c0756105075e58e41c445f109eb1aef

Observation b13f6bf7-3199-42a2-b18a-bd127503aec1 · outbound

This paper cites World Models.

RynnWorld-4D: 4D Embodied World Models for Robotic Manipulation World Models

Reference 12

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local_arxiv, observed 2026-07-08T02:04:26.179043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-08T02:00:30.551638Z digest=sha256:1827982bd850aa19f38a722040a9334cd359f1597026942a072b832557bcc4a1

Observation 45834516-3e80-4daa-becc-f901e52d011b · outbound

This paper cites TD-MPC2: Scalable, Robust World Models for Continuous Control.

RynnWorld-4D: 4D Embodied World Models for Robotic Manipulation TD-MPC2: Scalable, Robust World Models for Continuous Control

Reference 13

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Observation 5c127a53-9eab-482f-8cb7-ff644cbf494f · outbound

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

RynnWorld-4D: 4D Embodied World Models for Robotic Manipulation Video Prediction Policy: A Generalist Robot Policy with Predictive Visual Representations

Reference 14

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-08T02:00:30.551638Z digest=sha256:7aa3c2e37bb74819c5122903eb09fe77662f4d0ea72793c735205d2eb05a7400

Observation d269ddb0-68c1-470e-be30-abe5897a0a44 · outbound

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

RynnWorld-4D: 4D Embodied World Models for Robotic Manipulation $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization

Reference 15

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local_arxiv, observed 2026-07-08T02:04:26.187419Z

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source=pdf_text observed=2026-07-08T02:00:30.551638Z digest=sha256:d5378fdd12c04dd6e02ff226e02de59e1b3f51a18519bbbf210fea58c66ff390

Observation d71683f1-fe40-4cb8-9fa4-15ae91d8d1c4 · outbound

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

RynnWorld-4D: 4D Embodied World Models for Robotic Manipulation Galaxea Open-World Dataset and G0 Dual-System VLA Model

Reference 16

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Observation d450454c-12ee-461c-9465-f2651242b4a3 · outbound

This paper cites HunyuanVideo: A Systematic Framework For Large Video Generative Models.

RynnWorld-4D: 4D Embodied World Models for Robotic Manipulation HunyuanVideo: A Systematic Framework For Large Video Generative Models

Reference 17

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Observation 502c5049-e97c-4b5e-831f-73402b19e451 · outbound

This paper cites Novaflow: Zero-shot manipulation via ac- tionable flow from generated videos.arXiv preprint arXiv:2510.08568, 2025a.

RynnWorld-4D: 4D Embodied World Models for Robotic Manipulation Novaflow: Zero-shot manipulation via ac- tionable flow from generated videos.arXiv preprint arXiv:2510.08568, 2025a

Reference 18

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Observation a8320374-7948-4fc0-adbd-e24c6de68087 · outbound

This paper cites Dreamitate: Real-World Visuomotor Policy Learning via Video Generation.

RynnWorld-4D: 4D Embodied World Models for Robotic Manipulation Dreamitate: Real-World Visuomotor Policy Learning via Video Generation

Reference 19

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Observation a185fc9b-088e-47f5-943c-38e895ccca92 · outbound

This paper cites Depth Anything 3: Recovering the Visual Space from Any Views.

RynnWorld-4D: 4D Embodied World Models for Robotic Manipulation Depth Anything 3: Recovering the Visual Space from Any Views

Reference 20

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Observation 47d805fb-fb74-485f-8067-2711141c4bf3 · outbound

This paper cites Flow Matching for Generative Modeling.

RynnWorld-4D: 4D Embodied World Models for Robotic Manipulation Flow Matching for Generative Modeling

Reference 21

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Observation d0cbeef0-64e1-44b8-aec1-4faea32018b4 · outbound

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

RynnWorld-4D: 4D Embodied World Models for Robotic Manipulation RDT-1B: a Diffusion Foundation Model for Bimanual Manipulation

Reference 22

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Observation eedbec46-47e6-42bd-b3e9-ba3c73466bf1 · outbound

This paper cites Learning Mesh-Based Simulation with Graph Networks.

RynnWorld-4D: 4D Embodied World Models for Robotic Manipulation Learning Mesh-Based Simulation with Graph Networks

Reference 23

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source=pdf_text observed=2026-07-08T02:00:30.551638Z digest=sha256:083d2fb5961ffd7a0b1da5ad68d73d4b1bd9d406d3c9dd0b9439dcc4e707db2b

Observation f83cc394-4a49-461c-a401-346ac4d4a260 · outbound

This paper cites Wan: Open and Advanced Large-Scale Video Generative Models.

RynnWorld-4D: 4D Embodied World Models for Robotic Manipulation Wan: Open and Advanced Large-Scale Video Generative Models

Reference 24

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Observation 82a806ce-515e-41ca-a212-ca6d033cb57c · outbound

This paper cites Enact: Evaluating embodied cognition with world modeling of egocentric interaction.

RynnWorld-4D: 4D Embodied World Models for Robotic Manipulation Enact: Evaluating embodied cognition with world modeling of egocentric interaction

Reference 25

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Observation 11854999-5e4e-4d44-a0ba-dc8b2ebf9a06 · outbound

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

RynnWorld-4D: 4D Embodied World Models for Robotic Manipulation RoboMIND: Benchmark on Multi-embodiment Intelligence Normative Data for Robot Manipulation

Reference 26

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Observation dbf361c6-193d-4500-993f-3840106e90ae · outbound

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

RynnWorld-4D: 4D Embodied World Models for Robotic Manipulation RoboCOIN: An Open-Sourced Bimanual Robotic Data Collection for Integrated Manipulation

Reference 27

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local_arxiv, observed 2026-07-08T02:04:26.251829Z

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source=pdf_text observed=2026-07-08T02:00:30.551638Z digest=sha256:41fa5ec0fa305a991cec3f70c23dc9e4695e0357facdbcced6f8746322393567

Observation 20c70fbb-8ee1-4330-a850-76be7e7c1230 · outbound

This paper cites Pandora: Towards General World Model with Natural Language Actions and Video States.

RynnWorld-4D: 4D Embodied World Models for Robotic Manipulation Pandora: Towards General World Model with Natural Language Actions and Video States

Reference 28

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local_arxiv, observed 2026-07-08T02:04:26.172719Z

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source=pdf_text observed=2026-07-08T02:00:30.551638Z digest=sha256:33ee0cb38916316ae0e608763ab7b9dd9f3a7edd0b98425025aa2026789ea236

Observation b721d7f5-cc50-49f2-a83e-ff19af95b091 · outbound

This paper cites CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer.

RynnWorld-4D: 4D Embodied World Models for Robotic Manipulation CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer

Reference 29

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local_arxiv, observed 2026-07-08T02:04:26.216219Z

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Observation 88f73141-048e-4cc6-9507-421e773002ce · outbound

This paper cites Latent Action Pretraining from Videos.

RynnWorld-4D: 4D Embodied World Models for Robotic Manipulation Latent Action Pretraining from Videos

Reference 30

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source=pdf_text observed=2026-07-08T02:00:30.551638Z digest=sha256:1f3d01d30001d92ec6178de6087d0ad0738dc23088e0dbafc97ad5dfd9232765

Observation 77880148-c4a6-42f2-983f-86ce6b749752 · outbound

This paper cites World Action Models are Zero-shot Policies.

RynnWorld-4D: 4D Embodied World Models for Robotic Manipulation World Action Models are Zero-shot Policies

Reference 31

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local_arxiv, observed 2026-07-08T02:04:26.213239Z

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source=pdf_text observed=2026-07-08T02:00:30.551638Z digest=sha256:02073d821beb62473364561e4e907e39c0138d854ab642bc2937f14bbd40a257

Observation 2a24270e-80b7-4e50-84ac-24e6386ef292 · outbound

This paper cites DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection.

RynnWorld-4D: 4D Embodied World Models for Robotic Manipulation DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection

Reference 32

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source=pdf_text observed=2026-07-08T02:00:30.551638Z digest=sha256:bef3d5f0696d824a8a98d7185c0d08e78cfdbf539218e35135f68e5f451a5589

Observation ca6d5675-f60e-4583-bddb-556cb2f896a3 · outbound

This paper cites Particle-grid neural dynamics for learning deformable object models from rgb-d videos.

RynnWorld-4D: 4D Embodied World Models for Robotic Manipulation Particle-grid neural dynamics for learning deformable object models from rgb-d videos

Reference 33

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arxiv_id, observed 2026-07-08T02:04:26.233188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 86e91116-5e1d-4c05-b94e-45537ca31539 · outbound

This paper cites Topology-aware Human Avatars with Semantically-guided Gaussian Splatting.

RynnWorld-4D: 4D Embodied World Models for Robotic Manipulation Topology-aware Human Avatars with Semantically-guided Gaussian Splatting

Reference 34

Resolution
verified exact
local_arxiv, observed 2026-07-08T02:04:26.218410Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-08T02:00:30.551638Z digest=sha256:8151edd8013e19d52f0db7de7b25d42a8e0ddd88968b8adcef1278dec66b8ab4

Observation a7470d8a-69dd-40ea-b20c-6a49c15f000d · outbound

This paper cites Open-Sora: Democratizing Efficient Video Production for All.

RynnWorld-4D: 4D Embodied World Models for Robotic Manipulation Open-Sora: Democratizing Efficient Video Production for All

Reference 35

Resolution
verified exact
local_arxiv, observed 2026-07-08T02:04:26.218920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-08T02:00:30.551638Z digest=sha256:04ffe7ec3ef6d8d08b1fac71131c3d1d954f82eb11ec0c775fe284129ce3733d

Observation b57fe7a8-e59e-438f-8c6c-9350975ee6d9 · outbound

This paper cites Unipc: A unified predictor-corrector framework for fast sampling of diffusion models.Advances in Neural Information Processing Systems, 36:49842–49869.

RynnWorld-4D: 4D Embodied World Models for Robotic Manipulation Unipc: A unified predictor-corrector framework for fast sampling of diffusion models.Advances in Neural Information Processing Systems, 36:49842–49869

Reference 36

Resolution
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arxiv_id, observed 2026-07-08T02:04:26.229080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-08T02:00:30.551638Z digest=sha256:8e027a5ee0cf2d5e83d46d6eeadfbc68772238ae19d69b33f75cf042bf32282e

Observation 3f35496a-762f-4fcb-8230-c2ff1fe5e2c5 · outbound

This paper cites IRASim: A Fine-Grained World Model for Robot Manipulation.

RynnWorld-4D: 4D Embodied World Models for Robotic Manipulation IRASim: A Fine-Grained World Model for Robot Manipulation

Reference 37

Resolution
verified exact
local_arxiv, observed 2026-07-08T02:04:26.221871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-08T02:00:30.551638Z digest=sha256:f33ed894cd0634fdf57b75c521b04d3e2656a53d76d31d16938fd56bb6b60ec0

Observation 8219f762-b6ac-44fe-b248-86b4e02b309a · outbound

This paper cites an unresolved cited work.

RynnWorld-4D: 4D Embodied World Models for Robotic Manipulation Unresolved cited work

Reference 38

Resolution
unresolved
raw_fallback, observed 2026-07-08T02:04:26.859464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-08T02:00:30.551638Z digest=sha256:e0e916c0bc32388e84b0ebd1fbf46d3a81f2815be450d09699dd96c27529dbd8

Pith citing papers

Observation 78a64214-cc8c-46c0-8ab8-8c27ff66a29d · inbound

Xiaomi-Robotics-1: Scaling Vision-Language-Action Models with over 100K Hours of Real-World Trajectories cites this paper.

Xiaomi-Robotics-1: Scaling Vision-Language-Action Models with over 100K Hours of Real-World Trajectories RynnWorld-4D: 4D Embodied World Models for Robotic Manipulation

Reference 88

Resolution
unresolved
no resolver link, observed 2026-08-02T00:04:10.767303Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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