Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-03T01:21:34.705330Z
Paper Citation Record · LEDGER
As of 6 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2602.11885.
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, observed 2026-08-03T01:21:34.705330Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
36 of 36 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 2eb55380-b541-4c03-8723-b33afa57b1ef · outbound
Choose What to Manipulate: Revealing Data Scaling Laws in Bounding-Box Guided Policies for Semantic Manipulation Scaling Laws for Neural Language Models
Reference 1
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Observation 57c97eeb-8467-47a2-88bb-e94e2da21a57 · outbound
Choose What to Manipulate: Revealing Data Scaling Laws in Bounding-Box Guided Policies for Semantic Manipulation GPT-4 Technical Report
Reference 2
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Observation a8a48ca5-ee79-4a3f-8b1e-25658afcc246 · outbound
Choose What to Manipulate: Revealing Data Scaling Laws in Bounding-Box Guided Policies for Semantic Manipulation MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models
Reference 3
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Observation 839d6921-97a8-414b-bf1f-951ce054d1c7 · outbound
Choose What to Manipulate: Revealing Data Scaling Laws in Bounding-Box Guided Policies for Semantic Manipulation Diff-control: A stateful diffusion-based policy for imitation learning,
Reference 5
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Observation d796dc3b-cdf8-40c3-8c45-cb03df6ee154 · outbound
Choose What to Manipulate: Revealing Data Scaling Laws in Bounding-Box Guided Policies for Semantic Manipulation Octo: An Open-Source Generalist Robot Policy
Reference 6
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Observation 0b778e61-5a4b-4e47-bc78-b0cedde5a78c · outbound
Choose What to Manipulate: Revealing Data Scaling Laws in Bounding-Box Guided Policies for Semantic Manipulation RDT-1B: a Diffusion Foundation Model for Bimanual Manipulation
Reference 7
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Observation e8d1fa06-58f8-444a-8e05-ff3d6eb0ebaf · outbound
Choose What to Manipulate: Revealing Data Scaling Laws in Bounding-Box Guided Policies for Semantic Manipulation Visual instruction tuning,
Reference 8
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Observation 5b1a1761-0820-419a-a0d8-3c8860374be6 · outbound
Choose What to Manipulate: Revealing Data Scaling Laws in Bounding-Box Guided Policies for Semantic Manipulation Openvla: An open-source vision-language-action model,
Reference 9
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Observation 236d76d5-29ca-4d45-bd88-d90c9b90f424 · outbound
Choose What to Manipulate: Revealing Data Scaling Laws in Bounding-Box Guided Policies for Semantic Manipulation Fine-Tuning Vision-Language-Action Models: Optimizing Speed and Success
Reference 10
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Observation 4603c4c1-bc1c-4a54-ae48-c84a8ea3e876 · outbound
Choose What to Manipulate: Revealing Data Scaling Laws in Bounding-Box Guided Policies for Semantic Manipulation ChatVLA: Unified Multimodal Understanding and Robot Control with Vision-Language-Action Model
Reference 11
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Observation 9c339eea-9074-4cff-92bd-a4abda4eff6c · outbound
Choose What to Manipulate: Revealing Data Scaling Laws in Bounding-Box Guided Policies for Semantic Manipulation Rt-trajectory: Robotic task generalization via hindsight trajectory sketches,
Reference 12
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Observation bd40bf86-5a7f-453c-9fb8-e5fc1b75b503 · outbound
Choose What to Manipulate: Revealing Data Scaling Laws in Bounding-Box Guided Policies for Semantic Manipulation Hamster: Hierarchical action models for open-world robot manipulation,
Reference 13
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Observation 09979dfc-6cca-43ce-b6f7-c8fac30aeb3c · outbound
Choose What to Manipulate: Revealing Data Scaling Laws in Bounding-Box Guided Policies for Semantic Manipulation Kite: Keypoint- conditioned policies for semantic manipulation,
Reference 14
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Unavailable: canonical work link unavailable.
Observation e277a38b-cbf1-404a-b439-3acd829cb4cb · outbound
Choose What to Manipulate: Revealing Data Scaling Laws in Bounding-Box Guided Policies for Semantic Manipulation VIP: Vision Instructed Pre-training for Robotic Manipulation
Reference 15
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Unavailable: canonical work link unavailable.
Observation bc5396ec-be68-467c-9a99-493b0295f0ce · outbound
Choose What to Manipulate: Revealing Data Scaling Laws in Bounding-Box Guided Policies for Semantic Manipulation Yolov8: A novel object detection algorithm with enhanced performance and robustness,
Reference 16
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Unavailable: canonical work link unavailable.
Observation 96e945fe-4a2d-488a-a4a4-e0de86c89d27 · outbound
Choose What to Manipulate: Revealing Data Scaling Laws in Bounding-Box Guided Policies for Semantic Manipulation Roboturk: A crowdsourcing platform for robotic skill learning through imitation,
Reference 17
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Observation 8135c0a0-e149-4829-adc1-4945aa018995 · outbound
Choose What to Manipulate: Revealing Data Scaling Laws in Bounding-Box Guided Policies for Semantic Manipulation Open-TeleVision: Teleoperation with Immersive Active Visual Feedback
Reference 18
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Observation 60d5fd2f-b682-4dfd-8959-368d0705f38e · outbound
Choose What to Manipulate: Revealing Data Scaling Laws in Bounding-Box Guided Policies for Semantic Manipulation Deep imitation learning for complex manipulation tasks from virtual reality teleoperation,
Reference 19
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Unavailable: canonical work link unavailable.
Observation 108c2342-b8d1-4b58-af3b-bfa64ab5637f · outbound
Choose What to Manipulate: Revealing Data Scaling Laws in Bounding-Box Guided Policies for Semantic Manipulation Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware
Reference 20
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Unavailable: canonical work link unavailable.
Observation 33bbbd69-12f4-4dbf-9b0e-6e34b5d10280 · outbound
Choose What to Manipulate: Revealing Data Scaling Laws in Bounding-Box Guided Policies for Semantic Manipulation Universal Manipulation Interface: In-The-Wild Robot Teaching Without In-The-Wild Robots
Reference 21
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Unavailable: canonical work link unavailable.
Observation 5650ef9e-6dc4-4df7-b7bf-8b33c758f0cb · outbound
Choose What to Manipulate: Revealing Data Scaling Laws in Bounding-Box Guided Policies for Semantic Manipulation UMI on Legs: Making Manipulation Policies Mobile with Manipulation-Centric Whole-body Controllers
Reference 22
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Unavailable: canonical work link unavailable.
Observation 73d80f47-85ef-4f83-841f-a7d730e5a243 · outbound
Choose What to Manipulate: Revealing Data Scaling Laws in Bounding-Box Guided Policies for Semantic Manipulation Diffusion policy: Visuomotor policy learning via ac- tion diffusion,
Reference 23
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Observation a5b77748-2cb2-4a35-a5e7-b62921b78012 · outbound
Choose What to Manipulate: Revealing Data Scaling Laws in Bounding-Box Guided Policies for Semantic Manipulation Zero-Shot Robotic Manipulation with Pretrained Image-Editing Diffusion Models
Reference 24
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Observation 49b8c02b-0181-4063-94bc-37e06fabc945 · outbound
Choose What to Manipulate: Revealing Data Scaling Laws in Bounding-Box Guided Policies for Semantic Manipulation Vision-based robotic grasping from object localization, object pose estimation to grasp estimation for parallel grippers: a review,
Reference 25
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Unavailable: canonical work link unavailable.
Observation 94fe9e6d-afd9-4dc2-8986-8c474eaa2e50 · outbound
Choose What to Manipulate: Revealing Data Scaling Laws in Bounding-Box Guided Policies for Semantic Manipulation An intelligent emulsion explosive grasping and filling system based on yolo-simam-grcnn,
Reference 26
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Unavailable: canonical work link unavailable.
Observation aa3d85a3-7492-424e-96d6-3eb4d8156351 · outbound
Choose What to Manipulate: Revealing Data Scaling Laws in Bounding-Box Guided Policies for Semantic Manipulation Earl: Eye-on-hand reinforcement learner for dynamic grasping with active pose estimation,
Reference 27
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Unavailable: canonical work link unavailable.
Observation 2d927fba-05be-44c7-bfef-109c0e2d0b9f · outbound
Choose What to Manipulate: Revealing Data Scaling Laws in Bounding-Box Guided Policies for Semantic Manipulation Manibox: Enhancing spatial grasping generalization via scalable simulation data generation,
Reference 28
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Observation 328979b3-b491-453b-a5d7-208de0b56442 · outbound
Choose What to Manipulate: Revealing Data Scaling Laws in Bounding-Box Guided Policies for Semantic Manipulation Flow as the Cross-Domain Manipulation Interface
Reference 29
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Observation 6b6c5df0-fb04-48c6-ba4d-f15016b8cc0d · outbound
Choose What to Manipulate: Revealing Data Scaling Laws in Bounding-Box Guided Policies for Semantic Manipulation Robotic control via embodied chain-of-thought reasoning,
Reference 30
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Observation 07ad8fd9-13c1-495d-af4d-17354c43e14f · outbound
Choose What to Manipulate: Revealing Data Scaling Laws in Bounding-Box Guided Policies for Semantic Manipulation Energy-based models are zero-shot planners for compositional scene rearrangement,
Reference 31
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Observation 0cb56221-06ba-46eb-b504-2dd00ad680e0 · outbound
Choose What to Manipulate: Revealing Data Scaling Laws in Bounding-Box Guided Policies for Semantic Manipulation A single multi-task deep neural network with post-processing for object detection with reasoning and robotic grasp detection,
Reference 32
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Observation 2090f779-2cff-4a34-9917-5e3dc6ecf9c7 · outbound
Choose What to Manipulate: Revealing Data Scaling Laws in Bounding-Box Guided Policies for Semantic Manipulation A multi- task convolutional neural network for autonomous robotic grasping in object stacking scenes,
Reference 33
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Observation e59c743e-08fc-42e1-a923-24f3708ff3a8 · outbound
Choose What to Manipulate: Revealing Data Scaling Laws in Bounding-Box Guided Policies for Semantic Manipulation Denoising Diffusion Implicit Models
Reference 34
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Observation f38dbeb8-9442-44a5-9741-2742831d3e65 · outbound
Choose What to Manipulate: Revealing Data Scaling Laws in Bounding-Box Guided Policies for Semantic Manipulation Data Scaling Laws in Imitation Learning for Robotic Manipulation
Reference 35
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Observation e86dfb24-180e-4c39-9ed4-75fcde268ef4 · outbound
Choose What to Manipulate: Revealing Data Scaling Laws in Bounding-Box Guided Policies for Semantic Manipulation Learning transferable visual models from natural language supervision,
Reference 36
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Observation 7c2aacbb-e336-4b6f-a2d6-26536bda31ab · outbound
Choose What to Manipulate: Revealing Data Scaling Laws in Bounding-Box Guided Policies for Semantic Manipulation Open-world object manipulation using pre-trained vision-language models,
Reference 37
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No inbound Pith citation observations are available.