Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-01T03:37:50.340476Z
Paper Citation Record · LEDGER
As of 5 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2607.23108.
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 2026-08-01T03:37:50.340476Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+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
39 of 39 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 1743e24f-86e8-40e0-8282-244d50bd2d56 · outbound
The Curse of Precision: A Data Scaling Law for High-Precision Robotic Manipulation Scaling Laws for Neural Language Models
Reference 1
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Observation ea159189-7bb8-4e1b-a0b1-ed218398a462 · outbound
The Curse of Precision: A Data Scaling Law for High-Precision Robotic Manipulation Language Models are Few-Shot Learners
Reference 2
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Observation ae8fcdd4-b450-4f6b-8bc2-1962c08abd65 · outbound
The Curse of Precision: A Data Scaling Law for High-Precision Robotic Manipulation Scaling vision transformers,
Reference 3
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Observation 45316ad7-bd24-46cf-a51f-26db2b7b55b2 · outbound
The Curse of Precision: A Data Scaling Law for High-Precision Robotic Manipulation Deep Learning Scaling is Predictable, Empirically
Reference 4
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Observation 45995d40-1dd7-4729-8275-70723cdd381a · outbound
The Curse of Precision: A Data Scaling Law for High-Precision Robotic Manipulation Data Scaling Laws in Imitation Learning for Robotic Manipulation
Reference 5
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Observation 60a02ed1-0096-41da-afc8-5ce55c37d59d · outbound
The Curse of Precision: A Data Scaling Law for High-Precision Robotic Manipulation RT-1: Robotics Transformer for Real-World Control at Scale
Reference 6
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Observation 2dae3ebb-6fe7-402f-96cc-0aa1ae6bcc06 · outbound
The Curse of Precision: A Data Scaling Law for High-Precision Robotic Manipulation RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control
Reference 7
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Observation ff8b1aa2-d4fd-4864-a2cc-42eaf4fe1ba7 · outbound
The Curse of Precision: A Data Scaling Law for High-Precision Robotic Manipulation Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Reference 8
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Observation 73fab6dd-43f4-4e4c-be16-48d6c9339f7b · outbound
The Curse of Precision: A Data Scaling Law for High-Precision Robotic Manipulation Siciliano and O
Reference 9
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Observation 0d4751c6-4654-487a-9af3-16c3a1b85f09 · outbound
The Curse of Precision: A Data Scaling Law for High-Precision Robotic Manipulation A unified approach for motion and force control of robot manipulators: The operational space formulation,
Reference 10
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Observation 80494ea7-33ef-460c-aeef-1c32bebe4c7b · outbound
The Curse of Precision: A Data Scaling Law for High-Precision Robotic Manipulation Impedance control: An approach to manipulation, part i: Theory,
Reference 11
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Observation f2e77795-48d4-47ae-917d-0d412aa26305 · outbound
The Curse of Precision: A Data Scaling Law for High-Precision Robotic Manipulation Maniskill3: Gpu parallelized robotics simulation and rendering for generalizable embodied ai,
Reference 12
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Observation 37b3f592-0911-4677-93cf-38fa39cda43a · outbound
The Curse of Precision: A Data Scaling Law for High-Precision Robotic Manipulation Socratic Models: Composing Zero-Shot Multimodal Reasoning with Language
Reference 13
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Observation 97a94a4d-f9fc-4c82-a736-f0939e07d5c4 · outbound
The Curse of Precision: A Data Scaling Law for High-Precision Robotic Manipulation Octo: An Open-Source Generalist Robot Policy
Reference 14
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Observation 8a5a57f9-1743-42a6-8c76-44b5e375dde0 · outbound
The Curse of Precision: A Data Scaling Law for High-Precision Robotic Manipulation Robonet: Large-scale multi-robot learning,
Reference 15
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Unavailable: canonical work link unavailable.
Observation 0256b4b1-e88d-48db-848e-b2dc90277497 · outbound
The Curse of Precision: A Data Scaling Law for High-Precision Robotic Manipulation A Generalist Agent
Reference 16
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Observation c2eeb35b-4b59-4b06-a73d-d4e107306872 · outbound
The Curse of Precision: A Data Scaling Law for High-Precision Robotic Manipulation Unresolved cited work
Reference 17
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Observation 9e391377-3c38-4b7c-a510-3e4165f43cce · outbound
The Curse of Precision: A Data Scaling Law for High-Precision Robotic Manipulation Hybrid position/force control of manipulators,
Reference 18
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Observation 6f516c16-e593-4483-86cf-dec77c3611a6 · outbound
The Curse of Precision: A Data Scaling Law for High-Precision Robotic Manipulation Reinforcement learning in robotics: A survey,
Reference 19
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Observation 0b79dbf4-07f6-42d2-8305-f55fa72c9013 · outbound
The Curse of Precision: A Data Scaling Law for High-Precision Robotic Manipulation Learning from demonstration,
Reference 20
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Observation e04ac416-4b7f-4815-a757-1ffbbe4bcf24 · outbound
The Curse of Precision: A Data Scaling Law for High-Precision Robotic Manipulation A survey of robot learning from demonstration,
Reference 21
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Unavailable: canonical work link unavailable.
Observation 59f5bf8d-4871-4464-8aba-82cc9ed41505 · outbound
The Curse of Precision: A Data Scaling Law for High-Precision Robotic Manipulation Deep reinforcement learning for high precision assembly tasks,
Reference 22
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Observation c968b1af-1f90-4d65-a893-0ae3cebadf5d · outbound
The Curse of Precision: A Data Scaling Law for High-Precision Robotic Manipulation Learning latent plans from play,
Reference 23
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Observation d026dffd-5564-4c61-b606-fdde9a120c3f · outbound
The Curse of Precision: A Data Scaling Law for High-Precision Robotic Manipulation Model-agnostic meta-learning for fast adaptation of deep networks,
Reference 24
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Observation fda03621-df36-4bc1-9ba8-5144bbcade82 · outbound
The Curse of Precision: A Data Scaling Law for High-Precision Robotic Manipulation Waypoint-based imitation learning for robotic manipulation,
Reference 25
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Observation aa69c2b8-2db9-4a1c-8d63-1a84601c8490 · outbound
The Curse of Precision: A Data Scaling Law for High-Precision Robotic Manipulation Perceiver-actor: A multi-task transformer for robotic manipulation,
Reference 26
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Observation c2198e45-cef8-47b5-90ee-2d145a9e1c55 · outbound
The Curse of Precision: A Data Scaling Law for High-Precision Robotic Manipulation Vima: General robot manipulation with multimodal prompts,
Reference 27
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Observation 288df30e-37d6-4bcc-85d1-eaaa07d78213 · outbound
The Curse of Precision: A Data Scaling Law for High-Precision Robotic Manipulation Imitation learning for high precision peg-in-hole tasks,
Reference 28
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Observation d4458579-cba1-45e5-b372-fb1ae3dfbff9 · outbound
The Curse of Precision: A Data Scaling Law for High-Precision Robotic Manipulation From Imitation to Refinement -- Residual RL for Precise Assembly
Reference 29
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Unavailable: canonical work link unavailable.
Observation f47401ef-83b0-4f68-8d52-f1f00818336e · outbound
The Curse of Precision: A Data Scaling Law for High-Precision Robotic Manipulation Domain randomization for transferring deep neural networks from simulation to the real world,
Reference 30
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Unavailable: canonical work link unavailable.
Observation 837db92d-1874-4aa9-b1ad-baf70e6f0444 · outbound
The Curse of Precision: A Data Scaling Law for High-Precision Robotic Manipulation Sim-to-real via sim- to-sim: Data-efficient robotic grasping via randomized-to-canonical adaptation networks,
Reference 31
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Unavailable: canonical work link unavailable.
Observation 40a07b8b-3bf3-4654-852e-861a5c19f0ab · outbound
The Curse of Precision: A Data Scaling Law for High-Precision Robotic Manipulation Fast robust peg-in- hole insertion with continuous visual servoing,
Reference 32
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Observation f765127e-8f89-4d3a-95c8-e719e9dc7098 · outbound
The Curse of Precision: A Data Scaling Law for High-Precision Robotic Manipulation CliqueParcel: An Approach For Batching LLM Prompts That Jointly Optimizes Efficiency And Faithfulness
Reference 33
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Observation 03af78ad-c107-40e5-820c-216a2d35dd22 · outbound
The Curse of Precision: A Data Scaling Law for High-Precision Robotic Manipulation Precise and Dexterous Robotic Manipulation via Human-in-the-Loop Reinforcement Learning
Reference 34
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Observation 0906cf6e-f246-470b-8c58-32da76a7a900 · outbound
The Curse of Precision: A Data Scaling Law for High-Precision Robotic Manipulation SAPIEN: A simulated part-based interactive environment,
Reference 35
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Observation fe705f70-9826-4aed-8fdc-54cbb3d67a00 · outbound
The Curse of Precision: A Data Scaling Law for High-Precision Robotic Manipulation Diffusion Policy: Visuomotor Policy Learning via Action Diffusion,
Reference 36
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Observation 387eeea1-6684-4c54-b644-f7af9b115a69 · outbound
The Curse of Precision: A Data Scaling Law for High-Precision Robotic Manipulation Deep residual learning for image recognition,
Reference 37
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Observation 82118181-bef9-466e-baa5-35d74da1caf5 · outbound
The Curse of Precision: A Data Scaling Law for High-Precision Robotic Manipulation U-net: Convolutional networks for biomedical image segmentation,
Reference 38
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Observation e52fa94d-48ba-41a1-8714-df2727809c10 · outbound
The Curse of Precision: A Data Scaling Law for High-Precision Robotic Manipulation Denoising Diffusion Probabilistic Models
Reference 39
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No inbound Pith citation observations are available.