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Paper Citation Record · LEDGER

RoboLight: A Dataset with Linearly Composable Illumination for Robotic Manipulation

As of 20 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2603.04249.

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

pith.paper-citation-record.v1
2603.04249 v2

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T18:56:47.350861Z

measured 43 of 43 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

43 of 43 outbound references displayed

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Outbound references

Observation 76009b4f-8f00-4ffe-a295-5b1633bf607f · outbound

This paper cites “data will solve robotics and automation: True or false?.

RoboLight: A Dataset with Linearly Composable Illumination for Robotic Manipulation “data will solve robotics and automation: True or false?

Reference 1

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Observation d270802d-2344-47d6-b6c1-0a73fde01863 · outbound

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

RoboLight: A Dataset with Linearly Composable Illumination for Robotic Manipulation Open x-embodiment: Robotic learning datasets and rt-x models: Open x- embodiment collaboration 0,

Reference 2

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Observation db0c6d5f-03f3-4f70-aee3-c49d820e56c9 · outbound

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

RoboLight: A Dataset with Linearly Composable Illumination for Robotic Manipulation DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset

Reference 3

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Observation 404b4de3-4e1f-4d72-9094-4e01ca72996d · outbound

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

RoboLight: A Dataset with Linearly Composable Illumination for Robotic Manipulation $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control

Reference 4

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Observation 0fbc93c9-754d-41d2-bbd2-a4f8a970bc8f · outbound

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

RoboLight: A Dataset with Linearly Composable Illumination for Robotic Manipulation OpenVLA: An Open-Source Vision-Language-Action Model

Reference 5

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source=pdf_text observed=2026-08-02T18:56:44.606115Z digest=sha256:8f6e7e7a6e909bf00de824163a467040d888f7613fd8bdf625d8e9edb6a054ef

Observation 4b5bb698-928e-4482-81d8-40a46a90de06 · outbound

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

RoboLight: A Dataset with Linearly Composable Illumination for Robotic Manipulation Cosmos World Foundation Model Platform for Physical AI

Reference 6

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Observation 89965aa2-5d0d-493d-8d98-55fb15729978 · outbound

This paper cites V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning.

RoboLight: A Dataset with Linearly Composable Illumination for Robotic Manipulation V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning

Reference 7

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Observation faee6c43-db43-4d26-aaca-5a08b27fc626 · outbound

This paper cites ARMBench: An Object-centric Benchmark Dataset for Robotic Manipulation.

RoboLight: A Dataset with Linearly Composable Illumination for Robotic Manipulation ARMBench: An Object-centric Benchmark Dataset for Robotic Manipulation

Reference 8

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Observation 69305448-3db9-4a06-8a36-4e4ef13fa70a · outbound

This paper cites Furniturebench: Reproducible real-world benchmark for long-horizon complex manipulation,.

RoboLight: A Dataset with Linearly Composable Illumination for Robotic Manipulation Furniturebench: Reproducible real-world benchmark for long-horizon complex manipulation,

Reference 9

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source=pdf_text observed=2026-08-02T18:56:44.784917Z digest=sha256:33f953855a0ab0f78c7f5540bdc0d2d27ffaff8b8f840dc6ffa437833c35ade1

Observation 0cdf3722-367d-406a-a332-813046a6a3cf · outbound

This paper cites Decomposing the generalization gap in imitation learning for visual robotic manipulation,.

RoboLight: A Dataset with Linearly Composable Illumination for Robotic Manipulation Decomposing the generalization gap in imitation learning for visual robotic manipulation,

Reference 10

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Observation 5676884a-bf9b-437a-8296-a34fb48c6bd4 · outbound

This paper cites Efficient Data Collection for Robotic Manipulation via Compositional Generalization.

RoboLight: A Dataset with Linearly Composable Illumination for Robotic Manipulation Efficient Data Collection for Robotic Manipulation via Compositional Generalization

Reference 11

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Observation 2de5ce1b-6051-45ce-b39f-4ad8f6005dfc · outbound

This paper cites CACTI: A Framework for Scalable Multi-Task Multi-Scene Visual Imitation Learning.

RoboLight: A Dataset with Linearly Composable Illumination for Robotic Manipulation CACTI: A Framework for Scalable Multi-Task Multi-Scene Visual Imitation Learning

Reference 12

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Observation 0cd839c9-4dcf-4e0b-9700-fd18bd287d69 · outbound

This paper cites Differentiable Robot Rendering.

RoboLight: A Dataset with Linearly Composable Illumination for Robotic Manipulation Differentiable Robot Rendering

Reference 13

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Observation 9d4fef0e-6440-450c-90c4-fdcafd0f84c7 · outbound

This paper cites The ycb object and model set: Towards common benchmarks for manipulation research,.

RoboLight: A Dataset with Linearly Composable Illumination for Robotic Manipulation The ycb object and model set: Towards common benchmarks for manipulation research,

Reference 14

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Observation 37bddb1b-bcad-4cb5-af9f-7113a319ee45 · outbound

This paper cites More than a million ways to be pushed. a high-fidelity experimental dataset of planar pushing,.

RoboLight: A Dataset with Linearly Composable Illumination for Robotic Manipulation More than a million ways to be pushed. a high-fidelity experimental dataset of planar pushing,

Reference 15

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Observation 1e3d0196-b8cf-48e6-a6a8-d47e7fddd169 · outbound

This paper cites Omnipush: accurate, diverse, real-world dataset of pushing dynamics with rgb-d video,.

RoboLight: A Dataset with Linearly Composable Illumination for Robotic Manipulation Omnipush: accurate, diverse, real-world dataset of pushing dynamics with rgb-d video,

Reference 16

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Observation c7fa5737-5df4-4898-af97-2f5ca1a22011 · outbound

This paper cites REPLAB: A Reproducible Low-Cost Arm Benchmark Platform for Robotic Learning.

RoboLight: A Dataset with Linearly Composable Illumination for Robotic Manipulation REPLAB: A Reproducible Low-Cost Arm Benchmark Platform for Robotic Learning

Reference 17

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Observation 5529f742-46ab-4155-88f7-6ba12b3e2460 · outbound

This paper cites Grasping in the wild: Learning 6dof closed-loop grasping from low-cost demonstrations,.

RoboLight: A Dataset with Linearly Composable Illumination for Robotic Manipulation Grasping in the wild: Learning 6dof closed-loop grasping from low-cost demonstrations,

Reference 18

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Observation 363937ce-39f3-4571-bbdf-85a9326989c0 · outbound

This paper cites REASSEMBLE: A Multimodal Dataset for Contact-rich Robotic Assembly and Disassembly.

RoboLight: A Dataset with Linearly Composable Illumination for Robotic Manipulation REASSEMBLE: A Multimodal Dataset for Contact-rich Robotic Assembly and Disassembly

Reference 19

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Observation 841ac3d3-2669-4ef5-a009-072fd8155e94 · outbound

This paper cites Train offline, test online: A real robot learning benchmark,.

RoboLight: A Dataset with Linearly Composable Illumination for Robotic Manipulation Train offline, test online: A real robot learning benchmark,

Reference 20

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source=pdf_text observed=2026-08-02T18:56:45.556821Z digest=sha256:fb91f75d8673e24dd8a75e078beb6ee1be9023eef3a1cddee0b76de407975643

Observation a4207de7-b48e-4985-92fb-7dc812f5c3f1 · outbound

This paper cites Domain randomization for transferring deep neural networks from simulation to the real world,.

RoboLight: A Dataset with Linearly Composable Illumination for Robotic Manipulation Domain randomization for transferring deep neural networks from simulation to the real world,

Reference 21

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Observation 97c8059e-06cc-45c2-9747-9d8246aa52ad · outbound

This paper cites Olatverse: A large-scale real-world object dataset with precise lighting control,.

RoboLight: A Dataset with Linearly Composable Illumination for Robotic Manipulation Olatverse: A large-scale real-world object dataset with precise lighting control,

Reference 22

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Observation 326166db-ef50-4e7e-9bfb-65e45bb7a347 · outbound

This paper cites Getting to know low-light images with the exclusively dark dataset,.

RoboLight: A Dataset with Linearly Composable Illumination for Robotic Manipulation Getting to know low-light images with the exclusively dark dataset,

Reference 23

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Observation efe42995-7d48-46d8-b47c-221c93aa5ed5 · outbound

This paper cites See clearer at night: towards robust nighttime semantic segmentation through day-night image conversion,.

RoboLight: A Dataset with Linearly Composable Illumination for Robotic Manipulation See clearer at night: towards robust nighttime semantic segmentation through day-night image conversion,

Reference 24

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Observation 3328389e-4c10-488c-914c-242531b10361 · outbound

This paper cites A study on data selection for object detection in various lighting conditions for autonomous vehicles,.

RoboLight: A Dataset with Linearly Composable Illumination for Robotic Manipulation A study on data selection for object detection in various lighting conditions for autonomous vehicles,

Reference 25

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Observation b74c2010-1fd5-4ab2-823d-39ffe6835d73 · outbound

This paper cites Quantifying how lighting and focus affect face recognition performance,.

RoboLight: A Dataset with Linearly Composable Illumination for Robotic Manipulation Quantifying how lighting and focus affect face recognition performance,

Reference 26

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Observation 5611f0f0-74c0-4b52-8b97-f69efb40965e · outbound

This paper cites Hand gesture recognition with symmetric pattern under diverse illu- minated conditions using artificial neural network,.

RoboLight: A Dataset with Linearly Composable Illumination for Robotic Manipulation Hand gesture recognition with symmetric pattern under diverse illu- minated conditions using artificial neural network,

Reference 27

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Observation 21204f80-8529-4236-8cce-c6a02b5ddceb · outbound

This paper cites Openillumination: A multi- illumination dataset for inverse rendering evaluation on real objects,.

RoboLight: A Dataset with Linearly Composable Illumination for Robotic Manipulation Openillumination: A multi- illumination dataset for inverse rendering evaluation on real objects,

Reference 28

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Observation 8ad2cdc1-ff06-4f7a-a691-3260f7a9bed6 · outbound

This paper cites Acquiring linear subspaces for face recognition under variable lighting,.

RoboLight: A Dataset with Linearly Composable Illumination for Robotic Manipulation Acquiring linear subspaces for face recognition under variable lighting,

Reference 29

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Observation 70bad0af-a7ce-4b88-bee5-56e0eecc3d45 · outbound

This paper cites The cmu pose, illumination, and expression (pie) database,.

RoboLight: A Dataset with Linearly Composable Illumination for Robotic Manipulation The cmu pose, illumination, and expression (pie) database,

Reference 30

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Observation 5d59436f-33a1-4288-be03-7bd314bd0566 · outbound

This paper cites What is the set of images of an object under all possible illumination conditions?.

RoboLight: A Dataset with Linearly Composable Illumination for Robotic Manipulation What is the set of images of an object under all possible illumination conditions?

Reference 31

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Observation a288dbdd-28ef-491f-9ab5-d5ee90a9940e · outbound

This paper cites An efficient representation for irradiance environment maps,.

RoboLight: A Dataset with Linearly Composable Illumination for Robotic Manipulation An efficient representation for irradiance environment maps,

Reference 32

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Observation 44405b67-d676-40db-a5de-62ed79b27972 · outbound

This paper cites Acquiring the reflectance field of a human face,.

RoboLight: A Dataset with Linearly Composable Illumination for Robotic Manipulation Acquiring the reflectance field of a human face,

Reference 33

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Observation a33211bf-a4c9-4328-8de0-4deb2db8c5ef · outbound

This paper cites The light stages and their applications to photoreal digital actors,.

RoboLight: A Dataset with Linearly Composable Illumination for Robotic Manipulation The light stages and their applications to photoreal digital actors,

Reference 34

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Observation 5a26be2f-d613-4b39-bd56-89747bf6b0fb · outbound

This paper cites The rendering equation,.

RoboLight: A Dataset with Linearly Composable Illumination for Robotic Manipulation The rendering equation,

Reference 35

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source=pdf_text observed=2026-08-02T18:56:47.076755Z digest=sha256:0881fd27d8b1bf64a866058c9f8c64d2b51943016fd5437960f8423cd9349404

Observation 6144f12a-3e64-4fc5-880c-b2049de76efc · outbound

This paper cites an unresolved cited work.

RoboLight: A Dataset with Linearly Composable Illumination for Robotic Manipulation Unresolved cited work

Reference 36

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Observation 6225a9fc-ae41-45d9-ad60-ef7769161ab1 · outbound

This paper cites Synthetic lighting for photography,.

RoboLight: A Dataset with Linearly Composable Illumination for Robotic Manipulation Synthetic lighting for photography,

Reference 37

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Observation 568536c7-80e4-450f-84e3-c74d208d9b03 · outbound

This paper cites Blender,.

RoboLight: A Dataset with Linearly Composable Illumination for Robotic Manipulation Blender,

Reference 38

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unresolved
no resolver link, observed 2026-08-02T18:56:47.338699Z

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source=pdf_text observed=2026-08-02T18:56:47.338699Z digest=sha256:c6da761242ddeddea494e1b1cd928461631c0a575d7aa15c4ee82d2d2c0b5a25

Observation 3934cf2d-dd9c-4077-8599-563c9e634c47 · outbound

This paper cites High dynamic range imaging,.

RoboLight: A Dataset with Linearly Composable Illumination for Robotic Manipulation High dynamic range imaging,

Reference 39

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unresolved
no resolver link, observed 2026-08-02T18:56:47.341260Z

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source=pdf_text observed=2026-08-02T18:56:47.341260Z digest=sha256:548ce0f87a6eeb8c445116881d09d3fad9a00c1c57aa8a3360f7e52271702b0f

Observation 3dd5eff9-e247-434f-9db8-4c310d071edc · outbound

This paper cites A flexible new technique for camera calibration,.

RoboLight: A Dataset with Linearly Composable Illumination for Robotic Manipulation A flexible new technique for camera calibration,

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-02T18:56:47.343459Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T18:56:47.343459Z digest=sha256:97d84a361970d926bcc7309a8e4995fef56cc3e31914a64b49c2416b9e618a07

Observation 5ea804b4-4555-47b7-a69c-e84b79481943 · outbound

This paper cites Diffusion policy: Visuomotor policy learning via action diffusion,.

RoboLight: A Dataset with Linearly Composable Illumination for Robotic Manipulation Diffusion policy: Visuomotor policy learning via action diffusion,

Reference 41

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unresolved
no resolver link, observed 2026-08-02T18:56:47.345681Z

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source=pdf_text observed=2026-08-02T18:56:47.345681Z digest=sha256:6ec5b02301f9b5862cd9016784ada014c002add645da6a11fc180dd457145f54

Observation 52ab865a-879c-4c0c-a737-f59a1ca08293 · outbound

This paper cites What Matters in Learning from Large-Scale Datasets for Robot Manipulation.

RoboLight: A Dataset with Linearly Composable Illumination for Robotic Manipulation What Matters in Learning from Large-Scale Datasets for Robot Manipulation

Reference 42

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unresolved
no resolver link, observed 2026-08-02T18:56:47.348204Z

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source=pdf_text observed=2026-08-02T18:56:47.348204Z digest=sha256:63690dcf695d8ef07cef551509922817df6662f75a1c2634c57b81e67268eee7

Observation 53d19035-0b8d-4176-a072-be64467cecd8 · outbound

This paper cites Diffusionlight: Light probes for free by painting a chrome ball,.

RoboLight: A Dataset with Linearly Composable Illumination for Robotic Manipulation Diffusionlight: Light probes for free by painting a chrome ball,

Reference 43

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unresolved
no resolver link, observed 2026-08-02T18:56:47.350861Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T18:56:47.350861Z digest=sha256:1ff4fb06a05a71c9b73077ade34ce4f1262cd89ef3a1fe1f21f51c6075254c75

Pith citing papers

No inbound Pith citation observations are available.