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Paper Citation Record · LEDGER

Embodied Operators and Benchmarking: Toward Reusable and Deployable Embodied Intelligence Systems

As of 7 August 2026, this Paper Citation Record lists 96 of 96 outbound references and 0 inbound Pith citation observations for arXiv:2607.03283.

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

pith.paper-citation-record.v1
2607.03283 v1

Coverage vector

measured 96 of 96 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-12T03:33:41.042137Z

measured 96 of 96 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+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

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Source: cited_works

Reference resolution

96 of 96 outbound references displayed

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  • verified fuzzy0
  • unresolved95
  • parse uncertain1
  • malformed identifier0
  • metadata mismatch0

External citation measurements

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Outbound references

Observation 05a98f05-e2d3-40ea-9952-58af6c377040 · outbound

This paper cites Aligning cyber space with physical world: A comprehensive survey on embodied ai.

Embodied Operators and Benchmarking: Toward Reusable and Deployable Embodied Intelligence Systems Aligning cyber space with physical world: A comprehensive survey on embodied ai

Reference 1

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Observation eb63e084-ceef-4cc4-907f-07ee383b5b0e · outbound

This paper cites OpenVLA: An Open-Source Vision-Language-Action Model.

Embodied Operators and Benchmarking: Toward Reusable and Deployable Embodied Intelligence Systems OpenVLA: An Open-Source Vision-Language-Action Model

Reference 2

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Observation a7b8218a-3e60-41fd-b487-5ee864ee8838 · outbound

This paper cites Octo: An Open-Source Generalist Robot Policy.

Embodied Operators and Benchmarking: Toward Reusable and Deployable Embodied Intelligence Systems Octo: An Open-Source Generalist Robot Policy

Reference 3

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Observation 5c490133-bfa4-4ae8-936e-5b3c9c9b8ed5 · outbound

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

Embodied Operators and Benchmarking: Toward Reusable and Deployable Embodied Intelligence Systems $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control

Reference 4

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Observation 542b909e-3578-4c47-b286-f31921b362bd · outbound

This paper cites GR00T N1: An Open Foundation Model for Generalist Humanoid Robots.

Embodied Operators and Benchmarking: Toward Reusable and Deployable Embodied Intelligence Systems GR00T N1: An Open Foundation Model for Generalist Humanoid Robots

Reference 5

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Observation ed3a15d1-7a57-4a21-bf99-0ba7ae108158 · outbound

This paper cites Open x-embodiment: Robotic learning datasets and rt-x models: Open x-embodiment collaboration 0.

Embodied Operators and Benchmarking: Toward Reusable and Deployable Embodied Intelligence Systems Open x-embodiment: Robotic learning datasets and rt-x models: Open x-embodiment collaboration 0

Reference 6

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source=pdf_text observed=2026-07-12T03:33:41.042137Z digest=sha256:8ba27b0d43d307d76661b82942e7d13d76790ed31776d06604305880c6a7db9f

Observation 734239fc-6381-4238-9f9a-90d6f02c39bd · outbound

This paper cites DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset.

Embodied Operators and Benchmarking: Toward Reusable and Deployable Embodied Intelligence Systems DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset

Reference 7

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Observation d53f9287-6f74-4a22-b248-73c9bc4cd3b9 · outbound

This paper cites Lerobot: An open-source library for end-to-end robot learning.

Embodied Operators and Benchmarking: Toward Reusable and Deployable Embodied Intelligence Systems Lerobot: An open-source library for end-to-end robot learning

Reference 8

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Observation 54ab5852-7158-4ee6-9b6e-6b8a339c8e4e · outbound

This paper cites Neuman, Brian Plancher, and Vijay Janapa Reddi.

Embodied Operators and Benchmarking: Toward Reusable and Deployable Embodied Intelligence Systems Neuman, Brian Plancher, and Vijay Janapa Reddi

Reference 9

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Observation 961f445d-6276-4c4e-aedf-d1f5bd92eaca · outbound

This paper cites Gibbons, Sabrina M.

Embodied Operators and Benchmarking: Toward Reusable and Deployable Embodied Intelligence Systems Gibbons, Sabrina M

Reference 10

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Observation 824721f1-1b2b-4f49-9aa4-d633dd238f0c · outbound

This paper cites Robot Operating System 2: Design, architecture, and uses in the wild.

Embodied Operators and Benchmarking: Toward Reusable and Deployable Embodied Intelligence Systems Robot Operating System 2: Design, architecture, and uses in the wild

Reference 11

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Observation 122bd2d1-b575-4a5e-838a-45072e3b3524 · outbound

This paper cites Wilor: End-to-end 3d hand localization and reconstruction in-the-wild, 2025.

Embodied Operators and Benchmarking: Toward Reusable and Deployable Embodied Intelligence Systems Wilor: End-to-end 3d hand localization and reconstruction in-the-wild, 2025

Reference 12

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source=pdf_text observed=2026-07-12T03:33:41.042137Z digest=sha256:392ad1119c7b098bf73cd5530efce0a7e1f861d08472b85ea27421cadb6f5189

Observation e696334e-c5dc-45c3-8f82-0f3fc9c57968 · outbound

This paper cites Hawor: World-space hand motion reconstruction from egocentric videos, 2025.

Embodied Operators and Benchmarking: Toward Reusable and Deployable Embodied Intelligence Systems Hawor: World-space hand motion reconstruction from egocentric videos, 2025

Reference 13

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Observation f1b2837d-8f50-456e-98d8-d164724e2f70 · outbound

This paper cites an unresolved cited work.

Embodied Operators and Benchmarking: Toward Reusable and Deployable Embodied Intelligence Systems Unresolved cited work

Reference 14

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Observation 97b84c53-4049-403c-9d40-bc030d458395 · outbound

This paper cites Hand-object interaction: From human demonstrations to robot manipulation.

Embodied Operators and Benchmarking: Toward Reusable and Deployable Embodied Intelligence Systems Hand-object interaction: From human demonstrations to robot manipulation

Reference 15

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Observation 72d0bdf7-0f4e-4348-9489-5337aea5af7f · outbound

This paper cites MediaPipe: A Framework for Building Perception Pipelines.

Embodied Operators and Benchmarking: Toward Reusable and Deployable Embodied Intelligence Systems MediaPipe: A Framework for Building Perception Pipelines

Reference 16

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Observation 3c0af5ed-c1f0-40b9-bc4d-5b91aceeb051 · outbound

This paper cites Yolov7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors.

Embodied Operators and Benchmarking: Toward Reusable and Deployable Embodied Intelligence Systems Yolov7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

Reference 17

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source=pdf_text observed=2026-07-12T03:33:41.042137Z digest=sha256:848b980fccb8fd21dbac03cafd6a8693d00a9a10cef1277c37efdd499c3db6d8

Observation 0aa0e0a1-6ee8-4b19-97d3-58208c3e0dd2 · outbound

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

Embodied Operators and Benchmarking: Toward Reusable and Deployable Embodied Intelligence Systems DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection

Reference 18

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Observation c55b12d3-92ea-4c94-8f2d-8ef6462e3218 · outbound

This paper cites CaRe-Ego: Contact-aware Relationship Modeling for Egocentric Interactive Hand-object Segmentation.

Embodied Operators and Benchmarking: Toward Reusable and Deployable Embodied Intelligence Systems CaRe-Ego: Contact-aware Relationship Modeling for Egocentric Interactive Hand-object Segmentation

Reference 19

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Observation 1e8f5693-bb27-4fb7-9e2b-fe7d5ab973d7 · outbound

This paper cites Care-ego: Contact-aware relationship modeling for egocentric interac- tive hand-object segmentation.

Embodied Operators and Benchmarking: Toward Reusable and Deployable Embodied Intelligence Systems Care-ego: Contact-aware relationship modeling for egocentric interac- tive hand-object segmentation

Reference 20

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source=pdf_text observed=2026-07-12T03:33:41.042137Z digest=sha256:e9246a06e61808e23365b775ef951f9eaea027772bbecfae0d46acedf623d2a6

Observation 05bf5df0-7448-4a04-a9fd-4ac557a6b773 · outbound

This paper cites Interaction-aware representation modeling with co-occurrence consistency for egocentric hand-object parsing.

Embodied Operators and Benchmarking: Toward Reusable and Deployable Embodied Intelligence Systems Interaction-aware representation modeling with co-occurrence consistency for egocentric hand-object parsing

Reference 21

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Observation 4c4751b0-cff1-451b-8f77-a6285f969166 · outbound

This paper cites Grounding dino: Marrying dino with grounded pre-training for open-set object detection.

Embodied Operators and Benchmarking: Toward Reusable and Deployable Embodied Intelligence Systems Grounding dino: Marrying dino with grounded pre-training for open-set object detection

Reference 22

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source=pdf_text observed=2026-07-12T03:33:41.042137Z digest=sha256:7ab8a60a399d5b1d50c2d85b5b89a1cffe6f756d89470d7d9f7226ab74b2b7fa

Observation 7e179fcc-bddb-47f0-ba8d-c05aa3716e51 · outbound

This paper cites Grounding DINO 1.5: Advance the "Edge" of Open-Set Object Detection.

Embodied Operators and Benchmarking: Toward Reusable and Deployable Embodied Intelligence Systems Grounding DINO 1.5: Advance the "Edge" of Open-Set Object Detection

Reference 23

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Observation 25a90361-eb8e-4b24-b94c-4ae1055ac4c3 · outbound

This paper cites Yolo-world: Real-time open-vocabulary object detection.

Embodied Operators and Benchmarking: Toward Reusable and Deployable Embodied Intelligence Systems Yolo-world: Real-time open-vocabulary object detection

Reference 24

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Observation 52efb396-5fee-4ed2-bac1-536361571f47 · outbound

This paper cites Segment anything.

Embodied Operators and Benchmarking: Toward Reusable and Deployable Embodied Intelligence Systems Segment anything

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Observation 5bb6e4bd-d151-46e8-b6fd-61e825275efe · outbound

This paper cites Sam 2: Segment anything in images and videos.

Embodied Operators and Benchmarking: Toward Reusable and Deployable Embodied Intelligence Systems Sam 2: Segment anything in images and videos

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Observation 9fbae781-4d52-4c14-a26e-191e6513f500 · outbound

This paper cites SAM 3: Segment Anything with Concepts.

Embodied Operators and Benchmarking: Toward Reusable and Deployable Embodied Intelligence Systems SAM 3: Segment Anything with Concepts

Reference 27

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Observation 671db9c9-a307-4bbd-a808-a48469d82d4d · outbound

This paper cites Gómez Rodríguez, José M.

Embodied Operators and Benchmarking: Toward Reusable and Deployable Embodied Intelligence Systems Gómez Rodríguez, José M

Reference 28

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Observation 0eeedf99-f9c7-4bea-b758-67027fa3dcbe · outbound

This paper cites Splatam: Splat, track & map 3d gaussians for dense rgb-d slam, 2024.

Embodied Operators and Benchmarking: Toward Reusable and Deployable Embodied Intelligence Systems Splatam: Splat, track & map 3d gaussians for dense rgb-d slam, 2024

Reference 29

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source=pdf_text observed=2026-07-12T03:33:41.042137Z digest=sha256:f33c7993c00ef2c8602247feff9b549200a54b13d70a17729117e913afb93faa

Observation 1462e5de-6d1e-41cb-b974-d3e92f57ee4b · outbound

This paper cites an unresolved cited work.

Embodied Operators and Benchmarking: Toward Reusable and Deployable Embodied Intelligence Systems Unresolved cited work

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Observation 0239499f-90aa-43a8-9a40-11a267dc1174 · outbound

This paper cites Foundationpose: Unified 6d pose estimation and tracking of novel objects.

Embodied Operators and Benchmarking: Toward Reusable and Deployable Embodied Intelligence Systems Foundationpose: Unified 6d pose estimation and tracking of novel objects

Reference 31

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source=pdf_text observed=2026-07-12T03:33:41.042137Z digest=sha256:d1b632a1f049ea5d4cbad8d7ad452a29e50059405f22685dbf4a0c600812a8fb

Observation 2808c3ce-3d44-4b8b-8215-e19cb7efdc9c · outbound

This paper cites Bundlesdf: Neural 6-dof tracking and 3d reconstruction of unknown objects, 2023.

Embodied Operators and Benchmarking: Toward Reusable and Deployable Embodied Intelligence Systems Bundlesdf: Neural 6-dof tracking and 3d reconstruction of unknown objects, 2023

Reference 32

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Observation 979ce13c-5f1a-4629-b429-0c3f0f0f973a · outbound

This paper cites Schönberger and Jan-Michael Frahm.

Embodied Operators and Benchmarking: Toward Reusable and Deployable Embodied Intelligence Systems Schönberger and Jan-Michael Frahm

Reference 33

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source=pdf_text observed=2026-07-12T03:33:41.042137Z digest=sha256:24f50d870cdc338e825d21dec81d209cebd675c9a4264e4bf1f4b7d3cb612de3

Observation 7f0da122-3bde-4621-90b6-0772da27f3d6 · outbound

This paper cites Chen, Zhenyu Li, Guang Shi, Jiashi Feng, and Bingyi Kang.

Embodied Operators and Benchmarking: Toward Reusable and Deployable Embodied Intelligence Systems Chen, Zhenyu Li, Guang Shi, Jiashi Feng, and Bingyi Kang

Reference 34

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source=pdf_text observed=2026-07-12T03:33:41.042137Z digest=sha256:89716b88741c6bae63d10dee3e977e8aa4994459efc1029b80669d17f5a3bed4

Observation de42aebf-e3fd-4245-8b54-08adb780f5bc · outbound

This paper cites Metric3d: Towards zero-shot metric 3d prediction from a single image.

Embodied Operators and Benchmarking: Toward Reusable and Deployable Embodied Intelligence Systems Metric3d: Towards zero-shot metric 3d prediction from a single image

Reference 35

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Observation 444bb4df-1bb2-4f2f-981c-3142bec88188 · outbound

This paper cites UniDepth: Universal monocular metric depth estimation.

Embodied Operators and Benchmarking: Toward Reusable and Deployable Embodied Intelligence Systems UniDepth: Universal monocular metric depth estimation

Reference 36

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Observation ecb2628f-da05-4ffb-b863-96c7ef852219 · outbound

This paper cites UniDepthV2: Universal monocular metric depth estimation made simpler, 2025.

Embodied Operators and Benchmarking: Toward Reusable and Deployable Embodied Intelligence Systems UniDepthV2: Universal monocular metric depth estimation made simpler, 2025

Reference 37

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Observation 2cc77df7-2878-43e6-aace-76fef8a54588 · outbound

This paper cites Moge: Unlocking accurate monocular geometry estimation for open-domain images with optimal training supervision.

Embodied Operators and Benchmarking: Toward Reusable and Deployable Embodied Intelligence Systems Moge: Unlocking accurate monocular geometry estimation for open-domain images with optimal training supervision

Reference 38

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Observation 3c6ca1cd-efa8-45a0-878a-7e3af0077449 · outbound

This paper cites Moge-2: Accurate monocular geometry with metric scale and sharp details, 2025.

Embodied Operators and Benchmarking: Toward Reusable and Deployable Embodied Intelligence Systems Moge-2: Accurate monocular geometry with metric scale and sharp details, 2025

Reference 39

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Observation 45ec1e55-7b29-4632-86de-5bbb15adb177 · outbound

This paper cites Vggt: Visual geometry grounded transformer, 2025.

Embodied Operators and Benchmarking: Toward Reusable and Deployable Embodied Intelligence Systems Vggt: Visual geometry grounded transformer, 2025

Reference 40

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Observation 8e1d4076-8234-401f-aa8d-ebb51d04f08c · outbound

This paper cites Dust3r: Geometric 3d vision made easy, 2024.

Embodied Operators and Benchmarking: Toward Reusable and Deployable Embodied Intelligence Systems Dust3r: Geometric 3d vision made easy, 2024

Reference 41

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Observation efa82cf9-7006-49cd-acfa-2073d9cff943 · outbound

This paper cites Grounding image matching in 3d with mast3r, 2024.

Embodied Operators and Benchmarking: Toward Reusable and Deployable Embodied Intelligence Systems Grounding image matching in 3d with mast3r, 2024

Reference 42

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Observation 2bee3c4a-ea5c-467a-b65a-d953e5816c67 · outbound

This paper cites NeRFPrior: Learning neural radiance field as a prior for indoor scene reconstruction.

Embodied Operators and Benchmarking: Toward Reusable and Deployable Embodied Intelligence Systems NeRFPrior: Learning neural radiance field as a prior for indoor scene reconstruction

Reference 43

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Observation a0e92735-d525-4f48-8aad-f631ee5bf34f · outbound

This paper cites ObjectGS: Object-aware Scene Reconstruction and Scene Understanding via Gaussian Splatting.

Embodied Operators and Benchmarking: Toward Reusable and Deployable Embodied Intelligence Systems ObjectGS: Object-aware Scene Reconstruction and Scene Understanding via Gaussian Splatting

Reference 44

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source=pdf_text observed=2026-07-12T03:33:41.042137Z digest=sha256:976d5cffbfff3654f08e699d934c694ad88c1c8fd2331f583c6ca7d960f6e817

Observation 9bc39249-7508-4ee0-bc6e-2ee7961db9fb · outbound

This paper cites Sam 3d: 3dfy anything in images.

Embodied Operators and Benchmarking: Toward Reusable and Deployable Embodied Intelligence Systems Sam 3d: 3dfy anything in images

Reference 45

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source=pdf_text observed=2026-07-12T03:33:41.042137Z digest=sha256:c82842e3de6a75034629679a2d0d6389b44f9eed3d4757f423e4b5bb8ea05dfe

Observation 66a78af9-dc38-4d67-860e-93469c41f331 · outbound

This paper cites Handoccnet: Occlusion- robust 3d hand mesh estimation network, 2022.

Embodied Operators and Benchmarking: Toward Reusable and Deployable Embodied Intelligence Systems Handoccnet: Occlusion- robust 3d hand mesh estimation network, 2022

Reference 46

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Observation 57c72ae9-3ae8-4b49-8a37-dde6ca26222b · outbound

This paper cites Williams.

Embodied Operators and Benchmarking: Toward Reusable and Deployable Embodied Intelligence Systems Williams

Reference 47

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source=pdf_text observed=2026-07-12T03:33:41.042137Z digest=sha256:442e2c0dc204a3baec39923fbadba680a69f76700f9ee36797fb7cd2e8f87be3

Observation 2745363c-46ec-42c8-8a99-9d40c2db6399 · outbound

This paper cites Reconstructing hands in 3d with transformers, 2023.

Embodied Operators and Benchmarking: Toward Reusable and Deployable Embodied Intelligence Systems Reconstructing hands in 3d with transformers, 2023

Reference 48

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Observation 5d5a3dfa-0ece-42c4-9c69-744729a7252e · outbound

This paper cites Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond.

Embodied Operators and Benchmarking: Toward Reusable and Deployable Embodied Intelligence Systems Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 49

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source=pdf_text observed=2026-07-12T03:33:41.042137Z digest=sha256:537cc4336de5c24c80954a782156c060ab4e33243230fa35222c7a9c421a7c3b

Observation 78d55b4f-f647-4138-9a7b-de2489f7afa7 · outbound

This paper cites Rt-2: Vision-language-action models transfer web knowledge to robotic control.

Embodied Operators and Benchmarking: Toward Reusable and Deployable Embodied Intelligence Systems Rt-2: Vision-language-action models transfer web knowledge to robotic control

Reference 50

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source=pdf_text observed=2026-07-12T03:33:41.042137Z digest=sha256:2684134a6d1e3714535f292b3d25f8210ac8544ec4bd99b942fc65b2afc53e28

Observation 131362ac-31f8-4cf3-99b7-84c39a9a6ad8 · outbound

This paper cites Joyai-ra 0.1: A foundation model for robotic autonomy, 2026.

Embodied Operators and Benchmarking: Toward Reusable and Deployable Embodied Intelligence Systems Joyai-ra 0.1: A foundation model for robotic autonomy, 2026

Reference 51

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Observation c744569f-7210-4be6-998e-4b88f66d0a52 · outbound

This paper cites Qwen-robotmanip technical report: Alignment unlocks scale for robotic manipulation foundation models.

Embodied Operators and Benchmarking: Toward Reusable and Deployable Embodied Intelligence Systems Qwen-robotmanip technical report: Alignment unlocks scale for robotic manipulation foundation models

Reference 52

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Observation 7b66d158-044b-48a4-a63d-2f3c11959c53 · outbound

This paper cites Causal World Modeling for Robot Control.

Embodied Operators and Benchmarking: Toward Reusable and Deployable Embodied Intelligence Systems Causal World Modeling for Robot Control

Reference 53

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Observation 94c5e54c-4358-4c38-a345-057ce1023b3d · outbound

This paper cites an unresolved cited work.

Embodied Operators and Benchmarking: Toward Reusable and Deployable Embodied Intelligence Systems Unresolved cited work

Reference 54

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source=pdf_text observed=2026-07-12T03:33:41.042137Z digest=sha256:f8c708397ea3febb9b39779aedb13146a98036d9885cedfdf923e75fe3240af8

Observation ec9d9484-abb8-43e5-9d7a-b3b8557fcd83 · outbound

This paper cites Wmpo: World model-based policy optimization for vision-language-action models, 2025.

Embodied Operators and Benchmarking: Toward Reusable and Deployable Embodied Intelligence Systems Wmpo: World model-based policy optimization for vision-language-action models, 2025

Reference 55

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source=pdf_text observed=2026-07-12T03:33:41.042137Z digest=sha256:f14a34f69e5dd093be371052e32a00ab2cb8877f1c6150f5a7fd707438e649e1

Observation fa7f9a78-d22f-4232-a396-49b9c4edc09d · outbound

This paper cites Wovr: World models as reliable simulators for post-training vla policies with rl, 2026.

Embodied Operators and Benchmarking: Toward Reusable and Deployable Embodied Intelligence Systems Wovr: World models as reliable simulators for post-training vla policies with rl, 2026

Reference 56

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source=pdf_text observed=2026-07-12T03:33:41.042137Z digest=sha256:bdf9c96df4d39c927a2f67339fc88f4b978b40341942747102d8e9fd98283186

Observation 07029191-b88b-4dda-8a64-2c75d2bd87c2 · outbound

This paper cites Sword: Style-robust world models as simulators via dynamic latent bootstrapping for vla policy post-training, 2026.

Embodied Operators and Benchmarking: Toward Reusable and Deployable Embodied Intelligence Systems Sword: Style-robust world models as simulators via dynamic latent bootstrapping for vla policy post-training, 2026

Reference 57

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source=pdf_text observed=2026-07-12T03:33:41.042137Z digest=sha256:cc1d7af3972cc6862f5214b9d452c7e9c3b82bb2ebc382b1ca59da54b6bb7f73

Observation a2be23c3-ea74-4f44-8c82-4d4fc2601f52 · outbound

This paper cites Contact-GraspNet: Efficient 6-DoF grasp generation in cluttered scenes.

Embodied Operators and Benchmarking: Toward Reusable and Deployable Embodied Intelligence Systems Contact-GraspNet: Efficient 6-DoF grasp generation in cluttered scenes

Reference 58

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Observation e362bcf7-dbca-4bef-8e02-d0da3b0bcbcc · outbound

This paper cites AnyGrasp: Robust and efficient grasp perception in spatial and temporal domains.

Embodied Operators and Benchmarking: Toward Reusable and Deployable Embodied Intelligence Systems AnyGrasp: Robust and efficient grasp perception in spatial and temporal domains

Reference 59

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Observation 3b4e0c41-ba62-441d-94f7-14a05da571e9 · outbound

This paper cites MoveIt 2 Documentation.

Embodied Operators and Benchmarking: Toward Reusable and Deployable Embodied Intelligence Systems MoveIt 2 Documentation

Reference 60

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source=pdf_text observed=2026-07-12T03:33:41.042137Z digest=sha256:54a8b8706589a8163ed1ec4e8f10a8f9ae3dc5ebf9bb5687206dd04dea07f5a8

Observation 24aa29b9-5edc-4458-9e1f-3db6e4aa4ef0 · outbound

This paper cites CuRobo: Parallelized collision-free robot motion generation.

Embodied Operators and Benchmarking: Toward Reusable and Deployable Embodied Intelligence Systems CuRobo: Parallelized collision-free robot motion generation

Reference 61

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source=pdf_text observed=2026-07-12T03:33:41.042137Z digest=sha256:b9013d35303d9434af356d4f6f66cb26e8f7e258fea45f52b63b598bc1fcac77

Observation 8216c0b9-9a01-4846-aed0-941a923bd004 · outbound

This paper cites Impact of ROS 2 node composition in robotic systems.

Embodied Operators and Benchmarking: Toward Reusable and Deployable Embodied Intelligence Systems Impact of ROS 2 node composition in robotic systems

Reference 62

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source=pdf_text observed=2026-07-12T03:33:41.042137Z digest=sha256:04a8d86affca11f729e976e14d64d00f72c06b54ef4089db3dc10c78da5afda9

Observation c737e564-f44e-438b-9c08-27f7dbaca330 · outbound

This paper cites Nvidia isaac ros nitros documentation.

Embodied Operators and Benchmarking: Toward Reusable and Deployable Embodied Intelligence Systems Nvidia isaac ros nitros documentation

Reference 63

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source=pdf_text observed=2026-07-12T03:33:41.042137Z digest=sha256:ab2dd0a900dcdb278ae4d329271277673757e47d78e6ae3b30210b393e9afc79

Observation 04791f44-f719-4788-b8ae-635c35246db9 · outbound

This paper cites PAAM: A framework for coordinated and priority-driven accelerator management in ROS 2.

Embodied Operators and Benchmarking: Toward Reusable and Deployable Embodied Intelligence Systems PAAM: A framework for coordinated and priority-driven accelerator management in ROS 2

Reference 64

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source=pdf_text observed=2026-07-12T03:33:41.042137Z digest=sha256:a8f1c5325769b1780c22df30e1e308c212c7b8145f93b65953a9b12d520ade43

Observation 0feab9af-5877-4fc2-8f54-582a394519ea · outbound

This paper cites Dexycb: A benchmark for capturing hand grasping of objects.

Embodied Operators and Benchmarking: Toward Reusable and Deployable Embodied Intelligence Systems Dexycb: A benchmark for capturing hand grasping of objects

Reference 65

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source=pdf_text observed=2026-07-12T03:33:41.042137Z digest=sha256:a666192fd26420088da20841f4edca7cfef2a6ddf9b1ba91837ff1ebe7dfbbf3

Observation af61e524-9ff7-4d27-8c1e-769b5a17af15 · outbound

This paper cites Hot3d: Hand and object tracking in 3d from egocentric multi-view videos.

Embodied Operators and Benchmarking: Toward Reusable and Deployable Embodied Intelligence Systems Hot3d: Hand and object tracking in 3d from egocentric multi-view videos

Reference 66

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source=pdf_text observed=2026-07-12T03:33:41.042137Z digest=sha256:a8b1f283740cfccaf53b6a37b7f7b42364143f701ad48b8201ecf992c5e7745d

Observation 1eb30169-10de-4ca6-bccf-109e5fb7611f · outbound

This paper cites Nvidia tensorrt documentation.

Embodied Operators and Benchmarking: Toward Reusable and Deployable Embodied Intelligence Systems Nvidia tensorrt documentation

Reference 67

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source=pdf_text observed=2026-07-12T03:33:41.042137Z digest=sha256:bd55a46957f7c085b6bd480d0bf6d8cfc64011746e240a648e315853e3d79bd3

Observation 5260765a-3ccb-4b83-852b-4e7684a48c74 · outbound

This paper cites Nvidia deepstream sdk documentation.

Embodied Operators and Benchmarking: Toward Reusable and Deployable Embodied Intelligence Systems Nvidia deepstream sdk documentation

Reference 68

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source=pdf_text observed=2026-07-12T03:33:41.042137Z digest=sha256:fefd42dfa28c8b11c36c50078cadede9d6b52c09d4b421ef82f2ee59084060f9

Observation 2e672948-e66b-44e8-808f-9c4227089dee · outbound

This paper cites Nvidia isaac sim documentation.

Embodied Operators and Benchmarking: Toward Reusable and Deployable Embodied Intelligence Systems Nvidia isaac sim documentation

Reference 69

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source=pdf_text observed=2026-07-12T03:33:41.042137Z digest=sha256:b46b67c2955ac16b818c7df4630c29c76aa3ff7d2fd41d23ccaf318f2a3b1f61

Observation 80eb5bda-d2fd-448d-bb2c-f89a1f2a886b · outbound

This paper cites Isaac Lab: A GPU-Accelerated Simulation Framework for Multi-Modal Robot Learning.

Embodied Operators and Benchmarking: Toward Reusable and Deployable Embodied Intelligence Systems Isaac Lab: A GPU-Accelerated Simulation Framework for Multi-Modal Robot Learning

Reference 70

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source=pdf_text observed=2026-07-12T03:33:41.042137Z digest=sha256:8a1c2d25cf56d7d6a3100a7771aedfd3b947e6f03e69dfd74bd0dff5063f1ff4

Observation fc5eae99-d8d0-44d9-b4c5-1b0fd5d66bda · outbound

This paper cites Dyn-hamr: Recovering 4d interacting hand motion from a dynamic camera.

Embodied Operators and Benchmarking: Toward Reusable and Deployable Embodied Intelligence Systems Dyn-hamr: Recovering 4d interacting hand motion from a dynamic camera

Reference 71

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source=pdf_text observed=2026-07-12T03:33:41.042137Z digest=sha256:c9b7d685319e2419735f309c3b8569eee2668a40659fb272b0e8c2587691b739

Observation ea31f95d-872b-4938-87fd-6c962fdeeaf7 · outbound

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

Embodied Operators and Benchmarking: Toward Reusable and Deployable Embodied Intelligence Systems FAST: Efficient Action Tokenization for Vision-Language-Action Models

Reference 72

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source=pdf_text observed=2026-07-12T03:33:41.042137Z digest=sha256:c4cb55b0d441048afd428b0cc5a323f58ecb033029380b75ae639bba39e2b457

Observation 7b355b73-daa0-4e63-870e-1245a81d6075 · outbound

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

Embodied Operators and Benchmarking: Toward Reusable and Deployable Embodied Intelligence Systems Fine-Tuning Vision-Language-Action Models: Optimizing Speed and Success

Reference 73

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source=pdf_text observed=2026-07-12T03:33:41.042137Z digest=sha256:8b7b9ebf35a1a09171265485934b18c5b2f996339f729d030b4d6b2e600c3989

Observation 53664822-3245-40cd-8842-a15c6a3c5400 · outbound

This paper cites Embodied foundation models at the edge: A survey of deployment constraints and mitigation strategies.

Embodied Operators and Benchmarking: Toward Reusable and Deployable Embodied Intelligence Systems Embodied foundation models at the edge: A survey of deployment constraints and mitigation strategies

Reference 74

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source=pdf_text observed=2026-07-12T03:33:41.042137Z digest=sha256:0516480efa936def0eac27245c4c7d21d6fb158cf723c9b2e349e21323dbc662

Observation c320694a-7ccd-413b-a9df-927d5c89395a · outbound

This paper cites Gemini Robotics: Bringing AI into the Physical World.

Embodied Operators and Benchmarking: Toward Reusable and Deployable Embodied Intelligence Systems Gemini Robotics: Bringing AI into the Physical World

Reference 75

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source=pdf_text observed=2026-07-12T03:33:41.042137Z digest=sha256:4a8a6f42475e4e0d9ca7da3baca7f2044ae5c2a3aaeaa40571f68638bac2d06b

Observation 6ec83964-a6eb-420b-a6ca-c2b8435e02c5 · outbound

This paper cites Nvidia cosmos: A world foundation model platform for physical ai.

Embodied Operators and Benchmarking: Toward Reusable and Deployable Embodied Intelligence Systems Nvidia cosmos: A world foundation model platform for physical ai

Reference 76

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source=pdf_text observed=2026-07-12T03:33:41.042137Z digest=sha256:a631c5087c15635f4e96b9fa7d1c8265c6df1fff4477f0dce8fbda4669b57ddc

Observation 7b7988c8-bbc9-4e8b-b95b-33975c5eddc9 · outbound

This paper cites All Robots in One: A New Standard and Unified Dataset for Versatile, General-Purpose Embodied Agents.

Embodied Operators and Benchmarking: Toward Reusable and Deployable Embodied Intelligence Systems All Robots in One: A New Standard and Unified Dataset for Versatile, General-Purpose Embodied Agents

Reference 77

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source=pdf_text observed=2026-07-12T03:33:41.042137Z digest=sha256:02dc5ed661cd0d42fb087dc9ddf29bcd56ca13aac4c241bea28c4dd16785ffac

Observation 681ad14a-e988-4d68-bbc2-5d4cb79efe9b · outbound

This paper cites World robotics 2025: Industrial robots.

Embodied Operators and Benchmarking: Toward Reusable and Deployable Embodied Intelligence Systems World robotics 2025: Industrial robots

Reference 78

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source=pdf_text observed=2026-07-12T03:33:41.042137Z digest=sha256:981aa457ba515bc17af4ff51834829b5a6b73b2c87efa58dd580baddd82f698c

Observation c59a8428-d049-46c2-859b-e45a9766198d · outbound

This paper cites World robotics 2025: Service robots.

Embodied Operators and Benchmarking: Toward Reusable and Deployable Embodied Intelligence Systems World robotics 2025: Service robots

Reference 80

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source=pdf_text observed=2026-07-12T03:33:41.042137Z digest=sha256:fa9e23a412a6d05be1ca3e12a7b096bdc4ebb5bd73172fe2e51e9dcbe4a89e5d

Observation 188d08a0-7f1a-46f1-8d20-9e6c5295f1b9 · outbound

This paper cites an unresolved cited work.

Embodied Operators and Benchmarking: Toward Reusable and Deployable Embodied Intelligence Systems Unresolved cited work

Reference 81

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source=pdf_text observed=2026-07-12T03:33:41.042137Z digest=sha256:d4f579191fede27e4f6ca7f286b0b6e8dccac76a300d89d3c38955b30e253203

Observation fda62ae2-cac2-4728-8b76-3230cc8caf5a · outbound

This paper cites ISO 10218-1:2025 robotics – safety requirements – part 1: Indus- trial robots.

Embodied Operators and Benchmarking: Toward Reusable and Deployable Embodied Intelligence Systems ISO 10218-1:2025 robotics – safety requirements – part 1: Indus- trial robots

Reference 82

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source=pdf_text observed=2026-07-12T03:33:41.042137Z digest=sha256:47e14163e1adebd82f378c337a347e45b4bf63769d3108b23bb3f79066ddb1c1

Observation edbfab96-3d39-41cd-b422-f81121e48a23 · outbound

This paper cites ISO 10218-2:2025 robotics – safety requirements – part 2: Indus- trial robot applications and robot cells.

Embodied Operators and Benchmarking: Toward Reusable and Deployable Embodied Intelligence Systems ISO 10218-2:2025 robotics – safety requirements – part 2: Indus- trial robot applications and robot cells

Reference 83

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source=pdf_text observed=2026-07-12T03:33:41.042137Z digest=sha256:dc6d1ed2b38a44055c79cfa149b3e521e6cfc4ffb65843845f4de69f7fdf84f8

Observation 3ce373bb-b7f8-4e83-845d-6344aa8c8acc · outbound

This paper cites Vision-Language-Action Safety: Threats, Challenges, Evaluations, and Mechanisms.

Embodied Operators and Benchmarking: Toward Reusable and Deployable Embodied Intelligence Systems Vision-Language-Action Safety: Threats, Challenges, Evaluations, and Mechanisms

Reference 84

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source=pdf_text observed=2026-07-12T03:33:41.042137Z digest=sha256:0a60c4e8caebf5e146cf8b3ee4054981c37f64cf8050772fd7ca95e3c5ed4521

Observation 83927da8-968d-4266-9745-f66b9c82c785 · outbound

This paper cites RoboCasa: Large-Scale Simulation of Everyday Tasks for Generalist Robots.

Embodied Operators and Benchmarking: Toward Reusable and Deployable Embodied Intelligence Systems RoboCasa: Large-Scale Simulation of Everyday Tasks for Generalist Robots

Reference 85

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source=pdf_text observed=2026-07-12T03:33:41.042137Z digest=sha256:de899547d2740f185aa9abc07234bc1b4e36c478e42bca899b0f4734e9e87c19

Observation 58104d82-e114-447a-a069-4f3fc3e9dead · outbound

This paper cites Robocasa365: A large-scale simulation framework for training and benchmarking generalist robots.

Embodied Operators and Benchmarking: Toward Reusable and Deployable Embodied Intelligence Systems Robocasa365: A large-scale simulation framework for training and benchmarking generalist robots

Reference 86

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source=pdf_text observed=2026-07-12T03:33:41.042137Z digest=sha256:5059a52f6e6b07ff9909fed4dee04870aed68273da24c89ba3a30efc96d33830

Observation b36fbe12-7cdf-48f8-ac8e-abe82d093aa7 · outbound

This paper cites Safevla: Towards safety alignment of vision-language-action model via constrained learning.

Embodied Operators and Benchmarking: Toward Reusable and Deployable Embodied Intelligence Systems Safevla: Towards safety alignment of vision-language-action model via constrained learning

Reference 87

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source=pdf_text observed=2026-07-12T03:33:41.042137Z digest=sha256:e4996602cb173a9203e8fb66714a71c32c65f67ad456d5d0becb803a8d044e02

Observation d8a6b7f3-4fac-44b4-9efd-110446b9b279 · outbound

This paper cites EmbodiedGovBench: A Benchmark for Governance, Recovery, and Upgrade Safety in Embodied Agent Systems.

Embodied Operators and Benchmarking: Toward Reusable and Deployable Embodied Intelligence Systems EmbodiedGovBench: A Benchmark for Governance, Recovery, and Upgrade Safety in Embodied Agent Systems

Reference 88

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source=pdf_text observed=2026-07-12T03:33:41.042137Z digest=sha256:de4938a7ff632763afba9301c803ed87abe7033d49b2002204d1e2ca2a3ba9c3

Observation ce8c914b-b0c5-4780-ba64-bf86f297943a · outbound

This paper cites Diffusion Policy: Visuomotor Policy Learning via Action Diffusion.

Embodied Operators and Benchmarking: Toward Reusable and Deployable Embodied Intelligence Systems Diffusion Policy: Visuomotor Policy Learning via Action Diffusion

Reference 89

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source=pdf_text observed=2026-07-12T03:33:41.042137Z digest=sha256:bcd774abbb558808730307a74746a7b105edc61bc1dd9ba5be22b5e4300de293

Observation 44c1555b-ba76-43c5-a973-2950fc2060a1 · outbound

This paper cites Sucan, and Steve Cousins.

Embodied Operators and Benchmarking: Toward Reusable and Deployable Embodied Intelligence Systems Sucan, and Steve Cousins

Reference 90

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source=pdf_text observed=2026-07-12T03:33:41.042137Z digest=sha256:d7a9bf9059c8eb2a46eebfd15fa689f2aef29356a544b8924e6731dc630145a0

Observation 9653650a-8757-46a3-a4f9-64e49cd1d10c · outbound

This paper cites The marathon 2: A navigation system.

Embodied Operators and Benchmarking: Toward Reusable and Deployable Embodied Intelligence Systems The marathon 2: A navigation system

Reference 91

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source=pdf_text observed=2026-07-12T03:33:41.042137Z digest=sha256:a840a1bacc3cfc39eb644a748d98ee1ef966ee070f98f055bf5802b044f02762

Observation b4287070-4caa-4059-aaa6-3f8a67eca95a · outbound

This paper cites Mayne, James B.

Embodied Operators and Benchmarking: Toward Reusable and Deployable Embodied Intelligence Systems Mayne, James B

Reference 92

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source=pdf_text observed=2026-07-12T03:33:41.042137Z digest=sha256:410b6afd4ce5e10bdc2fe72ab4950ce31ca2882ddc0fc1584ccc3be44ec74ca0

Observation 1cd60ec3-6793-448a-8bbc-85c4058f674b · outbound

This paper cites Goodrich and Alan C.

Embodied Operators and Benchmarking: Toward Reusable and Deployable Embodied Intelligence Systems Goodrich and Alan C

Reference 93

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source=pdf_text observed=2026-07-12T03:33:41.042137Z digest=sha256:4e5f1a2ac61d6a6c1be84a9dc6435037ba2ffe6dd2b24acf524230d6901015e3

Observation 5f0c7da6-b722-47b9-bdf3-a3d3b4157b1e · outbound

This paper cites ISO/TS 15066:2016 robots and robotic devices – collaborative robots.

Embodied Operators and Benchmarking: Toward Reusable and Deployable Embodied Intelligence Systems ISO/TS 15066:2016 robots and robotic devices – collaborative robots

Reference 94

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source=pdf_text observed=2026-07-12T03:33:41.042137Z digest=sha256:e22250bd1da13aa8d981424ebfe72b902046ac4e197d67791838f51c9fd46cb9

Observation 3db69650-6a5b-4bb3-a5b9-1d0669900a7e · outbound

This paper cites Foundationstereo: Zero-shot stereo matching.

Embodied Operators and Benchmarking: Toward Reusable and Deployable Embodied Intelligence Systems Foundationstereo: Zero-shot stereo matching

Reference 95

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source=pdf_text observed=2026-07-12T03:33:41.042137Z digest=sha256:7d53fd9e136c14f7dacfdd37d703685dd3365c1e73581b76b4a9d192fc4e8941

Observation 985bc06f-64c9-44d9-a91a-a14ef360aee7 · outbound

This paper cites Pre-vla: Preemptive runtime verification for reliable vision-language-action and world-model rollouts, 2026.

Embodied Operators and Benchmarking: Toward Reusable and Deployable Embodied Intelligence Systems Pre-vla: Preemptive runtime verification for reliable vision-language-action and world-model rollouts, 2026

Reference 96

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source=pdf_text observed=2026-07-12T03:33:41.042137Z digest=sha256:6c2eac4e597976a10c461a7b6fba371956f32083a21241ea68c2b9759e1865a1

Observation 6ca5815b-bbfd-47a9-be36-2d053dc15cef · outbound

This paper cites Thousand-gpu large-scale training and optimization recipe for ai-native cloud embodied intelligence infrastructure, 2026.

Embodied Operators and Benchmarking: Toward Reusable and Deployable Embodied Intelligence Systems Thousand-gpu large-scale training and optimization recipe for ai-native cloud embodied intelligence infrastructure, 2026

Reference 97

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source=pdf_text observed=2026-07-12T03:33:41.042137Z digest=sha256:308ee46bfd07d36763cce4b8c4c9c1459b19521ada290e98e485d282ba0602a0

Pith citing papers

No inbound Pith citation observations are available.