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Paper Citation Record · LEDGER

GPUSimBench: Towards Scalable and Reliable GPU-Accelerated Simulators in Embodied AI

As of 22 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2607.13059.

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

pith.paper-citation-record.v1
2607.13059 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T08:31:53.904747Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

34 of 34 outbound references displayed

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External citation measurements

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Outbound references

Observation d67ee938-c174-48a2-a07c-4e39d663c473 · outbound

This paper cites Open x-embodiment: Robotic learning datasets and RT-X models : Open x-embodiment collaboration,.

GPUSimBench: Towards Scalable and Reliable GPU-Accelerated Simulators in Embodied AI Open x-embodiment: Robotic learning datasets and RT-X models : Open x-embodiment collaboration,

Reference 1

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source=pdf_text observed=2026-08-02T08:31:53.748303Z digest=sha256:6e8bb219eae4f383d66491f2e73cb0d0fbc0f482c993585a55001070b02da481

Observation 2e4cc810-0089-4c43-8132-a73860c13e57 · outbound

This paper cites RT-2: vision-language-action models transfer web knowledge to robotic control,.

GPUSimBench: Towards Scalable and Reliable GPU-Accelerated Simulators in Embodied AI RT-2: vision-language-action models transfer web knowledge to robotic control,

Reference 2

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source=pdf_text observed=2026-08-02T08:31:53.752187Z digest=sha256:4c939565dc96c54f4a33b907f24023b65e0a1baf10181e58b32289e420a32e77

Observation 7df247ce-683d-4dc8-8fd6-7ccd1b5337b9 · outbound

This paper cites RT-1: robotics transformer for real-world control at scale,.

GPUSimBench: Towards Scalable and Reliable GPU-Accelerated Simulators in Embodied AI RT-1: robotics transformer for real-world control at scale,

Reference 3

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source=pdf_text observed=2026-08-02T08:31:53.756659Z digest=sha256:d971d32d481bb598d314dce6349725a22813cdeb9c2202a31fa562c611723f6e

Observation e72b2526-4239-436c-a78f-6d3b668b98d1 · outbound

This paper cites Learning view-invariant world models for visual robotic manipulation,.

GPUSimBench: Towards Scalable and Reliable GPU-Accelerated Simulators in Embodied AI Learning view-invariant world models for visual robotic manipulation,

Reference 4

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source=pdf_text observed=2026-08-02T08:31:53.759984Z digest=sha256:ca5503e513f3912158e668595b194638294e2dd409006518a6915b0dec474ebb

Observation abc32c44-8a2f-491a-bb62-65695eee5f6a · outbound

This paper cites Object-oriented option framework for robotics manipulation in clutter,.

GPUSimBench: Towards Scalable and Reliable GPU-Accelerated Simulators in Embodied AI Object-oriented option framework for robotics manipulation in clutter,

Reference 5

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source=pdf_text observed=2026-08-02T08:31:53.763504Z digest=sha256:dabbde475c028209826d6a05770592a7b82a139f44679bc894e9e769e768242a

Observation 8202ae1a-7820-4bed-bee2-b094672cd8c9 · outbound

This paper cites Scaling robot learning with semantically imagined experience,.

GPUSimBench: Towards Scalable and Reliable GPU-Accelerated Simulators in Embodied AI Scaling robot learning with semantically imagined experience,

Reference 6

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source=pdf_text observed=2026-08-02T08:31:53.784753Z digest=sha256:d21c1b6b94c6addd60724d657419016c29df3941c899bc719c35ba3d0643c32e

Observation a895ba4b-48de-4809-8ec5-257b1ded519e · outbound

This paper cites Data scaling laws in imitation learning for robotic manipulation,.

GPUSimBench: Towards Scalable and Reliable GPU-Accelerated Simulators in Embodied AI Data scaling laws in imitation learning for robotic manipulation,

Reference 7

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source=pdf_text observed=2026-08-02T08:31:53.794750Z digest=sha256:9331c4f736a4b5a6071ff90bbf6e8c36ad9a150be11d545f08c7a811840cf560

Observation fe234094-0951-445d-8fd2-73b5c99be8d5 · outbound

This paper cites Rebot: Scaling robot learning with real-to- sim-to-real robotic video synthesis,.

GPUSimBench: Towards Scalable and Reliable GPU-Accelerated Simulators in Embodied AI Rebot: Scaling robot learning with real-to- sim-to-real robotic video synthesis,

Reference 8

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source=pdf_text observed=2026-08-02T08:31:53.807854Z digest=sha256:cb5f58ba960affc56da8610deff67d6eefc4ae24ec59e4ec0e1f8c791a7402ae

Observation 626f3133-22f4-48ba-ba91-16c44c804b0e · outbound

This paper cites Isaac gym: High performance gpu-based physics simulation for robot learning,.

GPUSimBench: Towards Scalable and Reliable GPU-Accelerated Simulators in Embodied AI Isaac gym: High performance gpu-based physics simulation for robot learning,

Reference 9

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source=pdf_text observed=2026-08-02T08:31:53.810922Z digest=sha256:7688429ae637dd98323710b6fd516816f2b4cbe4b8568060046a629b10ab779b

Observation aab52909-10b4-4988-9344-a14a735379cd · outbound

This paper cites Genesis: A generative and universal physics engine for robotics and beyond,.

GPUSimBench: Towards Scalable and Reliable GPU-Accelerated Simulators in Embodied AI Genesis: A generative and universal physics engine for robotics and beyond,

Reference 10

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source=pdf_text observed=2026-08-02T08:31:53.813773Z digest=sha256:3201104b770a333ac2717990b9fbbb9106b249e04439a771e09ca41e87db55de

Observation 9bea6721-f9e5-4f7a-81d0-06b7cce755c3 · outbound

This paper cites Residual MPC: blending reinforce- ment learning with gpu-parallelized model predictive control,.

GPUSimBench: Towards Scalable and Reliable GPU-Accelerated Simulators in Embodied AI Residual MPC: blending reinforce- ment learning with gpu-parallelized model predictive control,

Reference 11

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source=pdf_text observed=2026-08-02T08:31:53.817257Z digest=sha256:9f715f96bee12e911f7e4a5b68561df3d302cca88de21b823b657a4ec25cfc44

Observation a887dd2f-76a8-4454-a7b3-aeb5a25432f3 · outbound

This paper cites ManiSkill3: GPU Parallelized Robotics Simulation and Rendering for Generalizable Embodied AI.

GPUSimBench: Towards Scalable and Reliable GPU-Accelerated Simulators in Embodied AI ManiSkill3: GPU Parallelized Robotics Simulation and Rendering for Generalizable Embodied AI

Reference 12

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source=pdf_text observed=2026-08-02T08:31:53.824746Z digest=sha256:4ca47542e4dafc3503038ffe87a437cc2f87ef2bb20c7592e73b2ca163880b6c

Observation 98297c12-7b82-4cbe-b2df-f43ebc2d195a · outbound

This paper cites Learning to walk in minutes using massively parallel deep reinforcement learning,.

GPUSimBench: Towards Scalable and Reliable GPU-Accelerated Simulators in Embodied AI Learning to walk in minutes using massively parallel deep reinforcement learning,

Reference 13

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source=pdf_text observed=2026-08-02T08:31:53.828790Z digest=sha256:683c36e5944f7e296bda4f686db3d674da088c5f970edbbfacfa0b7f85c7e4e6

Observation a0c048a8-4eec-4a8b-abed-3dfc087b1017 · outbound

This paper cites GEAR: A gpu-centric experience replay system for large reinforcement learning models,.

GPUSimBench: Towards Scalable and Reliable GPU-Accelerated Simulators in Embodied AI GEAR: A gpu-centric experience replay system for large reinforcement learning models,

Reference 14

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source=pdf_text observed=2026-08-02T08:31:53.831735Z digest=sha256:af043a92b0eb2ca1826473f2475a07282add6a7b6348bf0d1b1c4090b666d497

Observation 67daee20-db07-4f73-a7cb-f1a8de24cfb6 · outbound

This paper cites Faster training for robotic manipulation in GPU paral- lelized robotics simulation,.

GPUSimBench: Towards Scalable and Reliable GPU-Accelerated Simulators in Embodied AI Faster training for robotic manipulation in GPU paral- lelized robotics simulation,

Reference 15

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source=pdf_text observed=2026-08-02T08:31:53.834634Z digest=sha256:6a2bfae99c2c2d17757441d460367bb61926df7fa7af753f2497a8f4e4e38ea7

Observation 5ef0cd97-e4dc-42ed-b57c-807c1978a03f · outbound

This paper cites Roboverse: Towards a unified platform, dataset and benchmark for scalable and generalizable robot learning,.

GPUSimBench: Towards Scalable and Reliable GPU-Accelerated Simulators in Embodied AI Roboverse: Towards a unified platform, dataset and benchmark for scalable and generalizable robot learning,

Reference 16

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source=pdf_text observed=2026-08-02T08:31:53.837601Z digest=sha256:28e73d887eb7ea7a8f22df82dabc8268a480dcab9297c9a359c2d3ff3d526d10

Observation ca36fadc-ee6d-4ace-9039-c8df7ae8aa05 · outbound

This paper cites Realm: A real-to-sim validated benchmark for generalization in robotic manipulation,.

GPUSimBench: Towards Scalable and Reliable GPU-Accelerated Simulators in Embodied AI Realm: A real-to-sim validated benchmark for generalization in robotic manipulation,

Reference 17

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source=pdf_text observed=2026-08-02T08:31:53.840397Z digest=sha256:d4047b7e5892d01606f76b6834c9783374b315bf633cb26e53c5a1842293e4db

Observation f2e6b805-a4e4-4cf4-b25c-c69b835a7556 · outbound

This paper cites Performance comparison of typical physics engines using robot models with multiple joints,.

GPUSimBench: Towards Scalable and Reliable GPU-Accelerated Simulators in Embodied AI Performance comparison of typical physics engines using robot models with multiple joints,

Reference 18

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source=pdf_text observed=2026-08-02T08:31:53.843153Z digest=sha256:96a00ff76124d188d0b763e7380f8843bc8e052f7189622f38f19247316b6cfb

Observation 183911c2-e0e0-45b1-8a99-befa3ff25e0b · outbound

This paper cites A comparative study on physics engines for robot simulation with mechanical interaction,.

GPUSimBench: Towards Scalable and Reliable GPU-Accelerated Simulators in Embodied AI A comparative study on physics engines for robot simulation with mechanical interaction,

Reference 19

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source=pdf_text observed=2026-08-02T08:31:53.845920Z digest=sha256:63c2f7f6cbe917034bab35f001bccc570d5f77255a3acd7ea3cb0d21ca6bd251

Observation f0c76fb8-bb3c-411a-a5ee-b1d07cc2a3ef · outbound

This paper cites Benchmarking population-based reinforcement learning across robotic tasks with gpu-accelerated sim- ulation,.

GPUSimBench: Towards Scalable and Reliable GPU-Accelerated Simulators in Embodied AI Benchmarking population-based reinforcement learning across robotic tasks with gpu-accelerated sim- ulation,

Reference 20

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source=pdf_text observed=2026-08-02T08:31:53.848575Z digest=sha256:968cd2eec460b8327d4225b37de0ac6d1374beca39eff331669e440b757d2df1

Observation 3754dcb6-3dad-42a1-a910-219c02f3ce58 · outbound

This paper cites Isaac lab: A GPU-accelerated simulation framework for multi-modal robot learning,.

GPUSimBench: Towards Scalable and Reliable GPU-Accelerated Simulators in Embodied AI Isaac lab: A GPU-accelerated simulation framework for multi-modal robot learning,

Reference 21

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source=pdf_text observed=2026-08-02T08:31:53.855483Z digest=sha256:0b71a5803ef77478e97bea32b6923968d1695a3bdf0d56f3afe81cd0a2bfde9b

Observation 55738d64-3080-4db8-9feb-ce336533011e · outbound

This paper cites Maniskill3: GPU parallelized robotics simu- lation and rendering for generalizable embodied AI,.

GPUSimBench: Towards Scalable and Reliable GPU-Accelerated Simulators in Embodied AI Maniskill3: GPU parallelized robotics simu- lation and rendering for generalizable embodied AI,

Reference 22

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source=pdf_text observed=2026-08-02T08:31:53.858404Z digest=sha256:fed6c787ff372cde83355dd4f501b301e279684e7ccf88a45b6b8985e79741da

Observation 348b1bc9-053c-4925-bbca-324f2ef86cfb · outbound

This paper cites An extensible, data-oriented ar- chitecture for high-performance, many-world simulation,.

GPUSimBench: Towards Scalable and Reliable GPU-Accelerated Simulators in Embodied AI An extensible, data-oriented ar- chitecture for high-performance, many-world simulation,

Reference 23

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source=pdf_text observed=2026-08-02T08:31:53.867565Z digest=sha256:5361124875dab49b8041beda075b31774895e14088dee2dc384f1d9ba58600ef

Observation 35cec56b-00ff-4646-8a60-fa168e30b3b2 · outbound

This paper cites Warp: A high-performance python framework for gpu simulation and graphics,.

GPUSimBench: Towards Scalable and Reliable GPU-Accelerated Simulators in Embodied AI Warp: A high-performance python framework for gpu simulation and graphics,

Reference 24

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Observation ee5f0d7f-e69c-4efc-93de-8855ae6d625e · outbound

This paper cites Mujoco: A physics engine for model-based control,.

GPUSimBench: Towards Scalable and Reliable GPU-Accelerated Simulators in Embodied AI Mujoco: A physics engine for model-based control,

Reference 25

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source=pdf_text observed=2026-08-02T08:31:53.873559Z digest=sha256:20de19d800073a7ae5b3aac72a922d5bdb6ea87c4c3524bcbb25fbf7f5c97a19

Observation 52c1dd45-efbc-4927-96ca-82b99f4408f6 · outbound

This paper cites Mujoco playground: An open-source framework for gpu-accelerated robot learning and sim-to-real transfer.

GPUSimBench: Towards Scalable and Reliable GPU-Accelerated Simulators in Embodied AI Mujoco playground: An open-source framework for gpu-accelerated robot learning and sim-to-real transfer

Reference 26

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source=pdf_text observed=2026-08-02T08:31:53.876420Z digest=sha256:93e9b58f0baf1b09634f43afd3b04054da40843888fd49733320aabe4a5dab68

Observation 35601aa8-22c7-4f19-94de-fbed1eaccbca · outbound

This paper cites Design and use paradigms for gazebo, an open-source multi-robot simulator,.

GPUSimBench: Towards Scalable and Reliable GPU-Accelerated Simulators in Embodied AI Design and use paradigms for gazebo, an open-source multi-robot simulator,

Reference 27

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source=pdf_text observed=2026-08-02T08:31:53.879291Z digest=sha256:2284b2be6fa7a19b822122a267197b499395afc1e632acab1a33388e7e59377f

Observation 95c9c384-052c-469f-b3da-d61e31b399fb · outbound

This paper cites Pybullet, a python module for physics sim- ulation for games, robotics and machine learning,.

GPUSimBench: Towards Scalable and Reliable GPU-Accelerated Simulators in Embodied AI Pybullet, a python module for physics sim- ulation for games, robotics and machine learning,

Reference 28

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source=pdf_text observed=2026-08-02T08:31:53.882359Z digest=sha256:58e2268230715ff9b37117410e1d9f2de9dcc1387b85ac164d9b224e270cd8d8

Observation d7491cbf-f422-477c-b692-8c0af6b25f50 · outbound

This paper cites JAX: composable transformations of Python+NumPy programs,.

GPUSimBench: Towards Scalable and Reliable GPU-Accelerated Simulators in Embodied AI JAX: composable transformations of Python+NumPy programs,

Reference 29

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source=pdf_text observed=2026-08-02T08:31:53.885648Z digest=sha256:de39649dca654f7caec60b1178915620fe74c234a21957fb871c4ba266709208

Observation 3e691174-be48-4393-8e72-20e4aefb35df · outbound

This paper cites Brax – a differentiable physics engine for large scale rigid body simulation,.

GPUSimBench: Towards Scalable and Reliable GPU-Accelerated Simulators in Embodied AI Brax – a differentiable physics engine for large scale rigid body simulation,

Reference 30

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source=pdf_text observed=2026-08-02T08:31:53.888694Z digest=sha256:f2e673b7467e440b0d05fa8bd6c63b885386f46655ce3366de618f2f8666b5a0

Observation 0a37e102-26cc-4789-a5a0-7afbc2ad8ac9 · outbound

This paper cites Taichi: a language for high-performance computation on spatially sparse data structures,.

GPUSimBench: Towards Scalable and Reliable GPU-Accelerated Simulators in Embodied AI Taichi: a language for high-performance computation on spatially sparse data structures,

Reference 31

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source=pdf_text observed=2026-08-02T08:31:53.891640Z digest=sha256:20a9ca77a12167f0fefc3016497ec13dd4e13be131a377f34bbf55e71857334a

Observation 82ffd500-3cb8-4733-b3dc-b3f1133eabe3 · outbound

This paper cites Taccel: Scaling up vision-based tactile robotics via high-performance gpu simulation,.

GPUSimBench: Towards Scalable and Reliable GPU-Accelerated Simulators in Embodied AI Taccel: Scaling up vision-based tactile robotics via high-performance gpu simulation,

Reference 32

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source=pdf_text observed=2026-08-02T08:31:53.895291Z digest=sha256:7ef930492c8584198b7f42900c1ac843e43498b3da7d4b1812890bcba167e70c

Observation 05a56a95-8154-44b3-83d6-62c25fe6e664 · outbound

This paper cites SAPIEN: A simulated part-based interactive environment,.

GPUSimBench: Towards Scalable and Reliable GPU-Accelerated Simulators in Embodied AI SAPIEN: A simulated part-based interactive environment,

Reference 33

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source=pdf_text observed=2026-08-02T08:31:53.898285Z digest=sha256:5d02ee44bba79d9f7866ebccefee1c658282bfafbe039d5ab16763642e35a41e

Observation d5d37061-1e2c-4e33-a772-c41455898aec · outbound

This paper cites Xpbd: Position-based simulation of compliant constrained dynamics,.

GPUSimBench: Towards Scalable and Reliable GPU-Accelerated Simulators in Embodied AI Xpbd: Position-based simulation of compliant constrained dynamics,

Reference 34

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source=pdf_text observed=2026-08-02T08:31:53.904747Z digest=sha256:72e6b7d819063a496caadbb0b433d36f70ad111da6a4c2735c9f9abd8dd28324

Pith citing papers

No inbound Pith citation observations are available.