Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
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.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T10:11:13.275156Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-10T04:16:48.676072Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation 386d3433-abee-4249-9ee7-351252a91967 · inbound
One-Shot Real-to-Sim via End-to-End Differentiable Simulation and Rendering IRASim: A Fine-Grained World Model for Robot Manipulation
Reference 3
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7c696393-c66d-4284-8165-ebf76039dbc6 · inbound
FLIP: Flow-Centric Generative Planning as General-Purpose Manipulation World Model IRASim: A Fine-Grained World Model for Robot Manipulation
Reference 84
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4756c9a7-a456-4b44-aa9a-fe6c24c2c854 · inbound
Cosmos World Foundation Model Platform for Physical AI IRASim: A Fine-Grained World Model for Robot Manipulation
Reference 252
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.
Observation fece0194-6667-44f9-ab8a-e4c2e3c2b6e3 · inbound
Learning Real-World Action-Video Dynamics with Heterogeneous Masked Autoregression IRASim: A Fine-Grained World Model for Robot Manipulation
Reference 60
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 43716016-b939-4aeb-a243-9fc9f7b858b9 · inbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ad56ca5e-d7da-4e1c-94bd-28de8f9bf1c3 · inbound
TesserAct: Learning 4D Embodied World Models IRASim: A Fine-Grained World Model for Robot Manipulation
Reference 80
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d7a30325-8510-4c60-acb2-3ba7bb42b86b · inbound
A Survey of Interactive Generative Video IRASim: A Fine-Grained World Model for Robot Manipulation
Reference 40
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0f402ccc-50c7-497d-bf24-fec9de1bd8a2 · inbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d80fbe2f-7cd1-40ee-9807-32de246ad89f · inbound
Towards a Generalizable Bimanual Foundation Policy via Flow-based Video Prediction IRASim: A Fine-Grained World Model for Robot Manipulation
Reference 49
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 32f44e71-4fd1-4753-b165-0343f5bf0040 · inbound
RoboEnvision: A Long-Horizon Video Generation Model for Multi-Task Robot Manipulation IRASim: A Fine-Grained World Model for Robot Manipulation
Reference 19
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 59802a9e-ac9d-4f1f-bb97-e1730548f2ea · inbound
RoboScape: Physics-informed Embodied World Model IRASim: A Fine-Grained World Model for Robot Manipulation
Reference 12
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 793dfec8-6173-4da6-a441-6dcec3811a24 · inbound
Ctrl-World: A Controllable Generative World Model for Robot Manipulation IRASim: A Fine-Grained World Model for Robot Manipulation
Reference 53
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.
Observation 64f4953a-42cd-4a3c-be15-52c66919b17d · inbound
Co-Evolving Latent Action World Models IRASim: A Fine-Grained World Model for Robot Manipulation
Reference 43
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.
Observation 6e1e8e42-568b-4af1-b34c-238a36b5c1e2 · inbound
World Simulation with Video Foundation Models for Physical AI IRASim: A Fine-Grained World Model for Robot Manipulation
Reference 101
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.
Observation ba501abd-eec9-4e75-92f9-e147c25220f4 · inbound
Large Video Planner Enables Generalizable Robot Control IRASim: A Fine-Grained World Model for Robot Manipulation
Reference 90
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.
Observation 1b54ba52-36f3-464a-831b-bbdd9188a500 · inbound
RISE: Self-Improving Robot Policy with Compositional World Model IRASim: A Fine-Grained World Model for Robot Manipulation
Reference 99
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.
Observation 246a5e94-f1fa-46c3-83f7-fa6625419b92 · inbound
Beyond Imitation: Reinforcement Learning-Based Sim-Real Co-Training for VLA Models IRASim: A Fine-Grained World Model for Robot Manipulation
Reference 84
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8a81c92f-76c5-4d1f-b022-de91a97da9c4 · inbound
WoVR: World Models as Reliable Simulators for Post-Training VLA Policies with RL IRASim: A Fine-Grained World Model for Robot Manipulation
Reference 45
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 758d1b41-ee3d-4ddf-a456-ae120bcc658b · inbound
ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation IRASim: A Fine-Grained World Model for Robot Manipulation
Reference 62
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.
Observation 1e4df35e-6303-44b3-8b1f-c80cffec52c2 · inbound
Vision-Language-Action in Robotics: A Survey of Datasets, Benchmarks, and Data Engines IRASim: A Fine-Grained World Model for Robot Manipulation
Reference 32
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.
Observation 522c0305-3d1c-4334-9364-6c8aa476adab · inbound
From Articulated Kinematics to Routed Visual Control for Action-Conditioned Surgical Video Generation IRASim: A Fine-Grained World Model for Robot Manipulation
Reference 112
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.
Observation 82916df8-6434-4f6b-900c-323e64a747e0 · inbound
RoboEvolve: Co-Evolving Planner-Simulator for Robotic Manipulation with Limited Data IRASim: A Fine-Grained World Model for Robot Manipulation
Reference 30
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.
Observation 846addf1-396b-4c4a-82c2-622f7080920a · inbound
Coding Agent Is Good As World Simulator IRASim: A Fine-Grained World Model for Robot Manipulation
Reference 13
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.
Observation 155b82df-dd47-4390-b3e2-abdf54f03ec7 · inbound
Coding Agent Is Good As World Simulator IRASim: A Fine-Grained World Model for Robot Manipulation
Reference 13
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.
Observation 849e99a6-29bc-447f-bc3a-f3390fbf4166 · inbound
DSSP: Diffusion State Space Policy with Full-History Encoding IRASim: A Fine-Grained World Model for Robot Manipulation
Reference 68
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.
Observation b6e2aac7-efce-42e5-abb7-e36ba87f3618 · inbound
WorldArena 2.0: Extending Embodied World Model Benchmarking on Modality, Functionality and Platform IRASim: A Fine-Grained World Model for Robot Manipulation
Reference 25
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.
Observation 0662da63-70d0-402b-b3fd-dd1eb5e7bb5e · inbound
WBench: A Comprehensive Multi-turn Benchmark for Interactive Video World Model Evaluation IRASim: A Fine-Grained World Model for Robot Manipulation
Reference 16
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.
Observation b5b03df9-f184-4da0-8ab0-b26b19b55390 · inbound
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
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.
Observation fad7e3df-b5be-4e7b-a4f6-82ab890d2bbe · inbound
MiraBench: Evaluating Action-Conditioned Reliability in Robotic World Models IRASim: A Fine-Grained World Model for Robot Manipulation
Reference 53
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.
Observation 4b7250bf-14ab-4c00-8a56-a2057349f207 · inbound
World Models: A Comprehensive Survey of Architectures, Methodologies, Reasoning Paradigms, and Applications IRASim: A Fine-Grained World Model for Robot Manipulation
Reference 187
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.
Observation 9658621d-2e1a-4fb0-8e11-524eca2115e1 · inbound
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
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.
Observation 517c060c-e760-486a-ad1c-5dcac7bc8239 · inbound
SC3-Eval: Evaluating Robot Foundation Models via Self-Consistent Video Generation IRASim: A Fine-Grained World Model for Robot Manipulation
Reference 3
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.
Observation 138a1cf9-7e23-40dd-bc20-a3543e6897ad · inbound
SC3-Eval: Evaluating Robot Foundation Models via Self-Consistent Video Generation IRASim: A Fine-Grained World Model for Robot Manipulation
Reference 3
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.
Observation c7ce351c-af5e-4fbd-a30f-89edb44d54b8 · inbound
World Action Models: A Survey IRASim: A Fine-Grained World Model for Robot Manipulation
Reference 214
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.
Observation b5463662-39cf-4f66-9ae7-19f3a88d5556 · inbound
MV-WAM: Manifold-Aware World Action Model with Value Augmentation IRASim: A Fine-Grained World Model for Robot Manipulation
Reference 50
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.
Observation cae434dd-a0cc-4eb1-9612-8db8fb619020 · inbound
MemLearner: Learning to Query Context memory for Video World Models IRASim: A Fine-Grained World Model for Robot Manipulation
Reference 75
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.
Observation e00e19ce-913a-46c2-bfea-d3af8ba025df · inbound
RoboWorld: Fast and Reliable Neural Simulators for Generalist Robot Policy Evaluation IRASim: A Fine-Grained World Model for Robot Manipulation
Reference 54
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.
Observation eabf54a7-4458-4890-a26a-898cd942c4ec · inbound
RoboWorld: Fast and Reliable Neural Simulators for Generalist Robot Policy Evaluation IRASim: A Fine-Grained World Model for Robot Manipulation
Reference 54
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b5375b1e-3637-4a4a-af9e-f23f4ec019c4 · inbound
RoboWorld: Fast and Reliable Neural Simulators for Generalist Robot Policy Evaluation IRASim: A Fine-Grained World Model for Robot Manipulation
Reference 54
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3f35496a-762f-4fcb-8230-c2ff1fe5e2c5 · inbound
RynnWorld-4D: 4D Embodied World Models for Robotic Manipulation IRASim: A Fine-Grained World Model for Robot Manipulation
Reference 37
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.
Observation c262efb2-8717-436c-8313-0825ab600606 · inbound
Native Video-Action Pretraining for Generalizable Robot Control IRASim: A Fine-Grained World Model for Robot Manipulation
Reference 133
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.
Observation 96649e26-ccf4-4d10-baad-3e17caf8d818 · inbound
Native Video-Action Pretraining for Generalizable Robot Control IRASim: A Fine-Grained World Model for Robot Manipulation
Reference 134
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation da77a5fb-c314-4e99-a494-7fda8291fd78 · inbound
PAVXploreRL: Physical-Action-Visual World Model Reinforcement Learning with Action Exploration IRASim: A Fine-Grained World Model for Robot Manipulation
Reference 35
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation efb8623f-9811-436b-b2e0-16d9fecdcd26 · inbound
SG-WAM: Self-Guided World Modeling in Geometry-Aware Policy Space IRASim: A Fine-Grained World Model for Robot Manipulation
Reference 53
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4c1bd594-2a93-4f34-b87a-f59ecd02d393 · inbound
XEWorld: Can Action-Conditioned World Models Generalize to Unseen Robot Embodiments? IRASim: A Fine-Grained World Model for Robot Manipulation
Reference 5
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 22af8650-5c91-4957-8eb2-72cad954ab39 · inbound
R2S-EGO: Dual-Proxy Refinement for Sparse-Capture Real-to-Sim IRASim: A Fine-Grained World Model for Robot Manipulation
Reference 17
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 948677ba-57ce-45c7-8832-bae1c807d32a · inbound
WorldSimProbe: Diagnosing Simulator Faithfulness in Action-Conditioned World Models for Embodied Manipulation IRASim: A Fine-Grained World Model for Robot Manipulation
Reference 7
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7d9812e2-0f0e-4421-9a38-e50872385674 · inbound
ContactGuard: Pre-Contact Execution Monitoring with Action-Conditioned Latent World Models IRASim: A Fine-Grained World Model for Robot Manipulation
Reference 9
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fac9c7e7-aa1d-41c1-9e70-1c656987a4e7 · inbound
DreamX-Phi 1.0: Action-Conditioned Video World Model for Robotic Manipulation IRASim: A Fine-Grained World Model for Robot Manipulation
Reference 36
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 36313a16-0eb9-4ead-9c81-c6ae15028fa0 · inbound
PlayWorld: Benchmarking World Models with Agent Players over Long-Horizon Objectives IRASim: A Fine-Grained World Model for Robot Manipulation
Reference 18
Source-reported events for the cited work
Unavailable: canonical work link unavailable.