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Paper Citation Record · LEDGER

IRASim: A Fine-Grained World Model for Robot Manipulation

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 50 inbound Pith citation observations for arXiv:2406.14540.

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

pith.paper-citation-record.v1
2406.14540 v2

Coverage vector

measured 0 of 0 reference resolution

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Source: paper_references, paper_reference_links

measured 50 of 50 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 50 of 50 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:11:13.275156Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T04:16:48.676072Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

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Outbound references

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Pith citing papers

Observation 386d3433-abee-4249-9ee7-351252a91967 · inbound

One-Shot Real-to-Sim via End-to-End Differentiable Simulation and Rendering cites this paper.

One-Shot Real-to-Sim via End-to-End Differentiable Simulation and Rendering IRASim: A Fine-Grained World Model for Robot Manipulation

Reference 3

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no resolver link, observed 2026-08-12T05:38:36.970153Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:38:36.970153Z digest=sha256:c7ecbbabbaada5dcb200ad0036f0c67b5742ab4a62c293573af8f6b9a5276c08

Observation 7c696393-c66d-4284-8165-ebf76039dbc6 · inbound

FLIP: Flow-Centric Generative Planning as General-Purpose Manipulation World Model cites this paper.

FLIP: Flow-Centric Generative Planning as General-Purpose Manipulation World Model IRASim: A Fine-Grained World Model for Robot Manipulation

Reference 84

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source=arxiv_source observed=2026-08-11T18:07:55.294333Z digest=sha256:d7671df5e5879dafaefbf17f2bc38aa757c0229d1a2380a73e9de331f343acf2

Observation 4756c9a7-a456-4b44-aa9a-fe6c24c2c854 · inbound

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

Cosmos World Foundation Model Platform for Physical AI IRASim: A Fine-Grained World Model for Robot Manipulation

Reference 252

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arxiv_id, observed 2026-05-10T23:38:46.204352Z

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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 fece0194-6667-44f9-ab8a-e4c2e3c2b6e3 · inbound

Learning Real-World Action-Video Dynamics with Heterogeneous Masked Autoregression cites this paper.

Learning Real-World Action-Video Dynamics with Heterogeneous Masked Autoregression IRASim: A Fine-Grained World Model for Robot Manipulation

Reference 60

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no resolver link, observed 2026-08-08T22:55:57.933399Z

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source=pdf_text observed=2026-08-08T22:55:57.933399Z digest=sha256:a550dfb9e7ed6efe07882f78400b8ee95d7cc95a1f8693ca0db741fd864ea530

Observation 43716016-b939-4aeb-a243-9fc9f7b858b9 · inbound

RoboVerse: Towards a Unified Platform, Dataset and Benchmark for Scalable and Generalizable Robot Learning cites this paper.

RoboVerse: Towards a Unified Platform, Dataset and Benchmark for Scalable and Generalizable Robot Learning IRASim: A Fine-Grained World Model for Robot Manipulation

Reference 144

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-16T10:11:13.275156Z digest=sha256:a5fbcea93aaec40bb2c9aed087ebe44a4df9c46b3359d2e870be96d847c38faa

Observation ad56ca5e-d7da-4e1c-94bd-28de8f9bf1c3 · inbound

TesserAct: Learning 4D Embodied World Models cites this paper.

TesserAct: Learning 4D Embodied World Models IRASim: A Fine-Grained World Model for Robot Manipulation

Reference 80

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no resolver link, observed 2026-08-16T05:18:56.768942Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-16T05:18:56.768942Z digest=sha256:641fc25323beb15cc2fcb706826d50a6ee19ef5515a10d400d7ef2cfd2059495

Observation d7a30325-8510-4c60-acb2-3ba7bb42b86b · inbound

A Survey of Interactive Generative Video cites this paper.

A Survey of Interactive Generative Video IRASim: A Fine-Grained World Model for Robot Manipulation

Reference 40

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no resolver link, observed 2026-08-16T04:56:00.536630Z

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source=pdf_text observed=2026-08-16T04:56:00.536630Z digest=sha256:8181d6f1e31ec010fdf51074f7f4540abb5481eaf8d93e71d8fa9a12e83cc16a

Observation 0f402ccc-50c7-497d-bf24-fec9de1bd8a2 · inbound

FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation cites this paper.

FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation IRASim: A Fine-Grained World Model for Robot Manipulation

Reference 98

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no resolver link, observed 2026-08-15T21:21:30.368427Z

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source=pdf_text observed=2026-08-15T21:21:30.368427Z digest=sha256:f722bd51b83d2c47dad9d5db3892612e4f51087fd89dbd5a7ed624c1e01a3b1c

Observation d80fbe2f-7cd1-40ee-9807-32de246ad89f · inbound

Towards a Generalizable Bimanual Foundation Policy via Flow-based Video Prediction cites this paper.

Towards a Generalizable Bimanual Foundation Policy via Flow-based Video Prediction IRASim: A Fine-Grained World Model for Robot Manipulation

Reference 49

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no resolver link, observed 2026-08-07T12:44:07.307769Z

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source=pdf_text observed=2026-08-07T12:44:07.307769Z digest=sha256:f1a11a50e9c5d0cfe6c46ac6864429ca7045e3788f26149715f2b9f4ca7e7679

Observation 32f44e71-4fd1-4753-b165-0343f5bf0040 · inbound

RoboEnvision: A Long-Horizon Video Generation Model for Multi-Task Robot Manipulation cites this paper.

RoboEnvision: A Long-Horizon Video Generation Model for Multi-Task Robot Manipulation IRASim: A Fine-Grained World Model for Robot Manipulation

Reference 19

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source=pdf_text observed=2026-08-06T22:17:14.443045Z digest=sha256:cea333ab9508b24c7e2e00c695e6cd4ebd832064df947af13fe45e6469a2037b

Observation 59802a9e-ac9d-4f1f-bb97-e1730548f2ea · inbound

RoboScape: Physics-informed Embodied World Model cites this paper.

RoboScape: Physics-informed Embodied World Model IRASim: A Fine-Grained World Model for Robot Manipulation

Reference 12

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no resolver link, observed 2026-08-06T21:56:07.466192Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:56:07.466192Z digest=sha256:f1cb7bdb2b975bbae16f53045e0f6439183da224f041b007a99602e2daa23412

Observation 793dfec8-6173-4da6-a441-6dcec3811a24 · inbound

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

Ctrl-World: A Controllable Generative World Model for Robot Manipulation IRASim: A Fine-Grained World Model for Robot Manipulation

Reference 53

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arxiv_id, observed 2026-05-16T01:14:10.442347Z

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 64f4953a-42cd-4a3c-be15-52c66919b17d · inbound

Co-Evolving Latent Action World Models cites this paper.

Co-Evolving Latent Action World Models IRASim: A Fine-Grained World Model for Robot Manipulation

Reference 43

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arxiv_id, observed 2026-05-18T02:52:21.677875Z

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 6e1e8e42-568b-4af1-b34c-238a36b5c1e2 · inbound

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

World Simulation with Video Foundation Models for Physical AI IRASim: A Fine-Grained World Model for Robot Manipulation

Reference 101

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arxiv_id, observed 2026-05-12T23:01:13.892487Z

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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 ba501abd-eec9-4e75-92f9-e147c25220f4 · inbound

Large Video Planner Enables Generalizable Robot Control cites this paper.

Large Video Planner Enables Generalizable Robot Control IRASim: A Fine-Grained World Model for Robot Manipulation

Reference 90

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arxiv_id, observed 2026-05-16T21:28:33.921791Z

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=2026-05-16T21:26:32.048309Z digest=sha256:d1e3e7f6eb5abd121aa0644eb8a76e2b7ed4d9a512a6e7edcbfc4691729ed14a

Observation 1b54ba52-36f3-464a-831b-bbdd9188a500 · inbound

RISE: Self-Improving Robot Policy with Compositional World Model cites this paper.

RISE: Self-Improving Robot Policy with Compositional World Model IRASim: A Fine-Grained World Model for Robot Manipulation

Reference 99

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arxiv_id, observed 2026-05-16T02:30:32.131720Z

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 246a5e94-f1fa-46c3-83f7-fa6625419b92 · inbound

Beyond Imitation: Reinforcement Learning-Based Sim-Real Co-Training for VLA Models cites this paper.

Beyond Imitation: Reinforcement Learning-Based Sim-Real Co-Training for VLA Models IRASim: A Fine-Grained World Model for Robot Manipulation

Reference 84

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source=pdf_text observed=2026-08-02T23:49:04.287251Z digest=sha256:1f9c30c38477464a5526954ebb618d25c611b1fe03812fc2bcb00c6c8ab102d5

Observation 8a81c92f-76c5-4d1f-b022-de91a97da9c4 · inbound

WoVR: World Models as Reliable Simulators for Post-Training VLA Policies with RL cites this paper.

WoVR: World Models as Reliable Simulators for Post-Training VLA Policies with RL IRASim: A Fine-Grained World Model for Robot Manipulation

Reference 45

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no resolver link, observed 2026-08-02T23:23:54.973512Z

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Unavailable: canonical work link unavailable.

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Observation 758d1b41-ee3d-4ddf-a456-ae120bcc658b · inbound

ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation cites this paper.

ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation IRASim: A Fine-Grained World Model for Robot Manipulation

Reference 62

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arxiv_id, observed 2026-05-11T09:11:01.779469Z

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=2026-05-10T16:11:29.558490Z digest=sha256:a18b4ab835606cd9910b0054a762bed52a90acd3ae706d050009cc6a7ce728fd

Observation 1e4df35e-6303-44b3-8b1f-c80cffec52c2 · inbound

Vision-Language-Action in Robotics: A Survey of Datasets, Benchmarks, and Data Engines cites this paper.

Vision-Language-Action in Robotics: A Survey of Datasets, Benchmarks, and Data Engines IRASim: A Fine-Grained World Model for Robot Manipulation

Reference 32

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arxiv_id, observed 2026-05-11T19:36:14.208205Z

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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 522c0305-3d1c-4334-9364-6c8aa476adab · inbound

From Articulated Kinematics to Routed Visual Control for Action-Conditioned Surgical Video Generation cites this paper.

From Articulated Kinematics to Routed Visual Control for Action-Conditioned Surgical Video Generation IRASim: A Fine-Grained World Model for Robot Manipulation

Reference 112

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arxiv_id, observed 2026-05-12T03:16:18.704859Z

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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=2026-05-12T03:15:40.944411Z digest=sha256:3b692e45632b8a07dba54b82492ded5bbeae4093f877523363e56ce264f040dd

Observation 82916df8-6434-4f6b-900c-323e64a747e0 · inbound

RoboEvolve: Co-Evolving Planner-Simulator for Robotic Manipulation with Limited Data cites this paper.

RoboEvolve: Co-Evolving Planner-Simulator for Robotic Manipulation with Limited Data IRASim: A Fine-Grained World Model for Robot Manipulation

Reference 30

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arxiv_id, observed 2026-05-14T17:57:33.328801Z

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

source=arxiv_source observed=2026-05-14T17:54:50.325820Z digest=sha256:da99df67092b5168bbc9923285ff448aa3b0ff81c13ce4f819141bb630f69974

Observation 846addf1-396b-4c4a-82c2-622f7080920a · inbound

Coding Agent Is Good As World Simulator cites this paper.

Coding Agent Is Good As World Simulator IRASim: A Fine-Grained World Model for Robot Manipulation

Reference 13

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arxiv_id, observed 2026-05-15T02:23:32.043236Z

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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 155b82df-dd47-4390-b3e2-abdf54f03ec7 · inbound

Coding Agent Is Good As World Simulator cites this paper.

Coding Agent Is Good As World Simulator IRASim: A Fine-Grained World Model for Robot Manipulation

Reference 13

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arxiv_id, observed 2026-07-01T14:35:46.868301Z

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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 849e99a6-29bc-447f-bc3a-f3390fbf4166 · inbound

DSSP: Diffusion State Space Policy with Full-History Encoding cites this paper.

DSSP: Diffusion State Space Policy with Full-History Encoding IRASim: A Fine-Grained World Model for Robot Manipulation

Reference 68

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arxiv_id, observed 2026-05-22T10:21:24.395136Z

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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 b6e2aac7-efce-42e5-abb7-e36ba87f3618 · inbound

WorldArena 2.0: Extending Embodied World Model Benchmarking on Modality, Functionality and Platform cites this paper.

WorldArena 2.0: Extending Embodied World Model Benchmarking on Modality, Functionality and Platform IRASim: A Fine-Grained World Model for Robot Manipulation

Reference 25

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arxiv_id, observed 2026-05-20T11:03:13.664557Z

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=2026-05-20T10:59:54.879907Z digest=sha256:9a4d390327c7602bd5b2985bd7523d5bfaad168f64d5dc2af9340fa18e01ac3c

Observation 0662da63-70d0-402b-b3fd-dd1eb5e7bb5e · inbound

WBench: A Comprehensive Multi-turn Benchmark for Interactive Video World Model Evaluation cites this paper.

WBench: A Comprehensive Multi-turn Benchmark for Interactive Video World Model Evaluation IRASim: A Fine-Grained World Model for Robot Manipulation

Reference 16

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arxiv_id, observed 2026-06-29T23:34:04.874216Z

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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=2026-06-29T22:57:08.381846Z digest=sha256:6b40df8d72f89807e208937e8a89932c881a31c3d2e9ec43f51434478e5b221d

Observation b5b03df9-f184-4da0-8ab0-b26b19b55390 · inbound

GE-Sim 2.0: A Roadmap Towards Comprehensive Closed-loop Video World Simulators for Robotic Manipulation cites this paper.

GE-Sim 2.0: A Roadmap Towards Comprehensive Closed-loop Video World Simulators for Robotic Manipulation IRASim: A Fine-Grained World Model for Robot Manipulation

Reference 27

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arxiv_id, observed 2026-06-29T17:23:44.524602Z

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=2026-06-29T17:22:40.258560Z digest=sha256:f7ac027f305409a5e8f6da16abb62f1748f78d5d7398256427dc8d16e92b72ae

Observation fad7e3df-b5be-4e7b-a4f6-82ab890d2bbe · inbound

MiraBench: Evaluating Action-Conditioned Reliability in Robotic World Models cites this paper.

MiraBench: Evaluating Action-Conditioned Reliability in Robotic World Models IRASim: A Fine-Grained World Model for Robot Manipulation

Reference 53

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arxiv_id, observed 2026-06-29T07:53:13.903582Z

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=2026-06-29T07:46:28.469913Z digest=sha256:724272ea1d5904710f4be66ab6f944b79538bc2a67f3d8a06c84daf2ae0bcdd9

Observation 4b7250bf-14ab-4c00-8a56-a2057349f207 · inbound

World Models: A Comprehensive Survey of Architectures, Methodologies, Reasoning Paradigms, and Applications cites this paper.

World Models: A Comprehensive Survey of Architectures, Methodologies, Reasoning Paradigms, and Applications IRASim: A Fine-Grained World Model for Robot Manipulation

Reference 187

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arxiv_id, observed 2026-06-29T08:43:15.710596Z

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=2026-06-29T08:36:23.776293Z digest=sha256:df569f5d8f8e4b48accfa8c5bf4e880dcda827dd7835935278eda8f8459eb54b

Observation 9658621d-2e1a-4fb0-8e11-524eca2115e1 · inbound

PiL-World: A Chunk-Wise World Model for VLA Policy-in-the-Loop Evaluation cites this paper.

PiL-World: A Chunk-Wise World Model for VLA Policy-in-the-Loop Evaluation IRASim: A Fine-Grained World Model for Robot Manipulation

Reference 14

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arxiv_id, observed 2026-07-02T13:06:59.007200Z

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 517c060c-e760-486a-ad1c-5dcac7bc8239 · inbound

SC3-Eval: Evaluating Robot Foundation Models via Self-Consistent Video Generation cites this paper.

SC3-Eval: Evaluating Robot Foundation Models via Self-Consistent Video Generation IRASim: A Fine-Grained World Model for Robot Manipulation

Reference 3

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arxiv_id, observed 2026-07-04T00:19:13.380606Z

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=2026-06-26T21:18:07.494794Z digest=sha256:5ee39253c196dce69a8954a4daeebfbc2904cc7e310f2b168b7f35cd6e2be676

Observation 138a1cf9-7e23-40dd-bc20-a3543e6897ad · inbound

SC3-Eval: Evaluating Robot Foundation Models via Self-Consistent Video Generation cites this paper.

SC3-Eval: Evaluating Robot Foundation Models via Self-Consistent Video Generation IRASim: A Fine-Grained World Model for Robot Manipulation

Reference 3

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arxiv_id, observed 2026-06-29T18:23:51.387479Z

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=2026-06-29T05:06:30.594399Z digest=sha256:1ffcd388a0ce4b2df0cbc5aefdf6261a90655b4d25052c019e6f0be79ced3cd6

Observation c7ce351c-af5e-4fbd-a30f-89edb44d54b8 · inbound

World Action Models: A Survey cites this paper.

World Action Models: A Survey IRASim: A Fine-Grained World Model for Robot Manipulation

Reference 214

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arxiv_id, observed 2026-07-04T04:09:35.301388Z

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=2026-06-26T17:11:12.686936Z digest=sha256:be1f032e49832d10fa6abe9656656429237077033fb215306c8e999e7db79509

Observation b5463662-39cf-4f66-9ae7-19f3a88d5556 · inbound

MV-WAM: Manifold-Aware World Action Model with Value Augmentation cites this paper.

MV-WAM: Manifold-Aware World Action Model with Value Augmentation IRASim: A Fine-Grained World Model for Robot Manipulation

Reference 50

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verified exact
arxiv_id, observed 2026-07-04T06:19:38.165475Z

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=2026-06-26T14:36:42.051049Z digest=sha256:f3fdb684083639e28af62404d66e7ea5deafbc99c9c52a249c68b392f95b8387

Observation cae434dd-a0cc-4eb1-9612-8db8fb619020 · inbound

MemLearner: Learning to Query Context memory for Video World Models cites this paper.

MemLearner: Learning to Query Context memory for Video World Models IRASim: A Fine-Grained World Model for Robot Manipulation

Reference 75

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metadata mismatch
arxiv_id, observed 2026-07-01T10:25:41.866546Z

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=2026-07-01T05:30:56.140465Z digest=sha256:f582e9c27f5ef4c686fa29c3e4da8acd679391b0a47622f19aa1be5671943229

Observation e00e19ce-913a-46c2-bfea-d3af8ba025df · inbound

RoboWorld: Fast and Reliable Neural Simulators for Generalist Robot Policy Evaluation cites this paper.

RoboWorld: Fast and Reliable Neural Simulators for Generalist Robot Policy Evaluation IRASim: A Fine-Grained World Model for Robot Manipulation

Reference 54

Resolution
verified exact
arxiv_id, observed 2026-07-02T11:26:53.721484Z

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=2026-07-02T11:21:32.725966Z digest=sha256:9a001e989bb7c656e7f3628148f0910962d4bc6d08c0ff976c45b09b497c183e

Observation eabf54a7-4458-4890-a26a-898cd942c4ec · inbound

RoboWorld: Fast and Reliable Neural Simulators for Generalist Robot Policy Evaluation cites this paper.

RoboWorld: Fast and Reliable Neural Simulators for Generalist Robot Policy Evaluation IRASim: A Fine-Grained World Model for Robot Manipulation

Reference 54

Resolution
unresolved
no resolver link, observed 2026-07-14T16:48:30.512494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T16:48:30.512494Z digest=sha256:910a522716d4c05392c0ce5d944596a75ccb334f611a3e689fd4f859ff633f5f

Observation b5375b1e-3637-4a4a-af9e-f23f4ec019c4 · inbound

RoboWorld: Fast and Reliable Neural Simulators for Generalist Robot Policy Evaluation cites this paper.

RoboWorld: Fast and Reliable Neural Simulators for Generalist Robot Policy Evaluation IRASim: A Fine-Grained World Model for Robot Manipulation

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-15T15:40:46.845521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:40:46.845521Z digest=sha256:3e5d628bcd841cf345662d9a005b8accc293de28333c50876158a31a737bee71

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

RynnWorld-4D: 4D Embodied World Models for Robotic Manipulation cites this paper.

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 c262efb2-8717-436c-8313-0825ab600606 · inbound

Native Video-Action Pretraining for Generalizable Robot Control cites this paper.

Native Video-Action Pretraining for Generalizable Robot Control IRASim: A Fine-Grained World Model for Robot Manipulation

Reference 133

Resolution
verified exact
local_arxiv, observed 2026-07-10T04:16:48.677354Z

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=2026-07-10T04:12:29.153764Z digest=sha256:d2602ea7292dcfe6f20ab0e36bc3a5fc77aba66a245c1582c7d0cceb88599bbf

Observation 96649e26-ccf4-4d10-baad-3e17caf8d818 · inbound

Native Video-Action Pretraining for Generalizable Robot Control cites this paper.

Native Video-Action Pretraining for Generalizable Robot Control IRASim: A Fine-Grained World Model for Robot Manipulation

Reference 134

Resolution
unresolved
no resolver link, observed 2026-08-02T07:53:47.266888Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T07:53:47.266888Z digest=sha256:bc09af1dca7037f9f63b6a21f25df6f99902dd7b836c457b0775956e88bd0ed5

Observation da77a5fb-c314-4e99-a494-7fda8291fd78 · inbound

PAVXploreRL: Physical-Action-Visual World Model Reinforcement Learning with Action Exploration cites this paper.

PAVXploreRL: Physical-Action-Visual World Model Reinforcement Learning with Action Exploration IRASim: A Fine-Grained World Model for Robot Manipulation

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-01T20:30:44.728476Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T20:30:44.728476Z digest=sha256:fbebdf171e9430e5f2a8cdb883163160612a5ea5d5690a093a0459d90c46e6a7

Observation efb8623f-9811-436b-b2e0-16d9fecdcd26 · inbound

SG-WAM: Self-Guided World Modeling in Geometry-Aware Policy Space cites this paper.

SG-WAM: Self-Guided World Modeling in Geometry-Aware Policy Space IRASim: A Fine-Grained World Model for Robot Manipulation

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-06T00:18:16.446645Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:18:16.446645Z digest=sha256:ec4cf1379c5b67165a05a9194917c9e8c68832fdceffc5c2dc929d16fa5ea7ca

Observation 4c1bd594-2a93-4f34-b87a-f59ecd02d393 · inbound

XEWorld: Can Action-Conditioned World Models Generalize to Unseen Robot Embodiments? cites this paper.

XEWorld: Can Action-Conditioned World Models Generalize to Unseen Robot Embodiments? IRASim: A Fine-Grained World Model for Robot Manipulation

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T23:21:53.349532Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T23:21:53.349532Z digest=sha256:d6c0d073f77164c48ea9db9036450da0cb832827adda0f53cae7d93ee486d18a

Observation 22af8650-5c91-4957-8eb2-72cad954ab39 · inbound

R2S-EGO: Dual-Proxy Refinement for Sparse-Capture Real-to-Sim cites this paper.

R2S-EGO: Dual-Proxy Refinement for Sparse-Capture Real-to-Sim IRASim: A Fine-Grained World Model for Robot Manipulation

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-10T20:13:26.934250Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:13:26.934250Z digest=sha256:13b25a5e76ad74f5fce9f8e531ac25d428489aec495a662de318b29a83bcda45

Observation 948677ba-57ce-45c7-8832-bae1c807d32a · inbound

WorldSimProbe: Diagnosing Simulator Faithfulness in Action-Conditioned World Models for Embodied Manipulation cites this paper.

WorldSimProbe: Diagnosing Simulator Faithfulness in Action-Conditioned World Models for Embodied Manipulation IRASim: A Fine-Grained World Model for Robot Manipulation

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-11T19:59:33.445409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T19:59:33.445409Z digest=sha256:d6df5007644472cc4cbd42d1820a71d4087c6f972747e0be080fd74d66940b71

Observation 7d9812e2-0f0e-4421-9a38-e50872385674 · inbound

ContactGuard: Pre-Contact Execution Monitoring with Action-Conditioned Latent World Models cites this paper.

ContactGuard: Pre-Contact Execution Monitoring with Action-Conditioned Latent World Models IRASim: A Fine-Grained World Model for Robot Manipulation

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-14T11:05:28.306177Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T11:05:28.306177Z digest=sha256:b0404e5809546cb503ee13ddd119f29ea7fb2916f8f2c3a1fd6a2fb069eee37f

Observation fac9c7e7-aa1d-41c1-9e70-1c656987a4e7 · inbound

DreamX-Phi 1.0: Action-Conditioned Video World Model for Robotic Manipulation cites this paper.

DreamX-Phi 1.0: Action-Conditioned Video World Model for Robotic Manipulation IRASim: A Fine-Grained World Model for Robot Manipulation

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-14T06:00:16.317623Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T06:00:16.317623Z digest=sha256:b5b3823eef5f68d0b449a8d3ed6b58768a1eaa8e7f6b86d00877a88ce693de0e

Observation 36313a16-0eb9-4ead-9c81-c6ae15028fa0 · inbound

PlayWorld: Benchmarking World Models with Agent Players over Long-Horizon Objectives cites this paper.

PlayWorld: Benchmarking World Models with Agent Players over Long-Horizon Objectives IRASim: A Fine-Grained World Model for Robot Manipulation

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-14T04:23:02.186772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:23:02.186772Z digest=sha256:ca1a44451fca7f68ced469e9e3a5b3534001ec41bb14fc1460aaf48a535f8e49