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Paper Citation Record · LEDGER

The Curse of Precision: A Data Scaling Law for High-Precision Robotic Manipulation

As of 8 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.

pith.paper-citation-record.v1
2607.23108 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T03:37:50.340476Z

measured 39 of 39 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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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Reference resolution

39 of 39 outbound references displayed

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Outbound references

Observation 1743e24f-86e8-40e0-8282-244d50bd2d56 · outbound

This paper cites Scaling Laws for Neural Language Models.

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

This paper cites Language Models are Few-Shot Learners.

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

This paper cites Scaling vision transformers,.

The Curse of Precision: A Data Scaling Law for High-Precision Robotic Manipulation Scaling vision transformers,

Reference 3

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source=pdf_text observed=2026-08-01T03:37:48.682389Z digest=sha256:2b6f4f2e1cdc6fae31a3dc193f6e0e6455899eb00bd8879b6d9dfd00f1d38051

Observation 45316ad7-bd24-46cf-a51f-26db2b7b55b2 · outbound

This paper cites Deep Learning Scaling is Predictable, Empirically.

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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source=pdf_text observed=2026-08-01T03:37:48.751635Z digest=sha256:4affb57ccc338d2b6b9f93ae680e59bd8f6a90840cc7c24c9e9c5ffe853e3847

Observation 45995d40-1dd7-4729-8275-70723cdd381a · outbound

This paper cites Data Scaling Laws in Imitation Learning for Robotic Manipulation.

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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source=pdf_text observed=2026-08-01T03:37:48.818904Z digest=sha256:18fa88bf2b2e0db183b08a3438da906eed38256aa02e304e1e962e548f9ea007

Observation 60a02ed1-0096-41da-afc8-5ce55c37d59d · outbound

This paper cites RT-1: Robotics Transformer for Real-World Control at Scale.

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

This paper cites RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control.

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

This paper cites Open X-Embodiment: Robotic Learning Datasets and RT-X Models.

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

This paper cites Siciliano and O.

The Curse of Precision: A Data Scaling Law for High-Precision Robotic Manipulation Siciliano and O

Reference 9

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source=pdf_text observed=2026-08-01T03:37:49.052487Z digest=sha256:96bb8ecf6d0628feae2f1658af6bf1b12ee6cf6513a2e6f64f55457ee7fd8f6c

Observation 0d4751c6-4654-487a-9af3-16c3a1b85f09 · outbound

This paper cites A unified approach for motion and force control of robot manipulators: The operational space formulation,.

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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source=pdf_text observed=2026-08-01T03:37:49.112003Z digest=sha256:5b6be21c54174517e922fc0d6e0b37dd0fbea517f227e0c18a0958d5fbe3f799

Observation 80494ea7-33ef-460c-aeef-1c32bebe4c7b · outbound

This paper cites Impedance control: An approach to manipulation, part i: Theory,.

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

This paper cites Maniskill3: Gpu parallelized robotics simulation and rendering for generalizable embodied ai,.

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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source=pdf_text observed=2026-08-01T03:37:49.228779Z digest=sha256:58ff1a60d24ddbcb79f97eab63e426c2a16a8c64350d43cd0687a84f2fecbf10

Observation 37b3f592-0911-4677-93cf-38fa39cda43a · outbound

This paper cites Socratic Models: Composing Zero-Shot Multimodal Reasoning with Language.

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

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

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

This paper cites Robonet: Large-scale multi-robot learning,.

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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Observation 0256b4b1-e88d-48db-848e-b2dc90277497 · outbound

This paper cites A Generalist Agent.

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

This paper cites an unresolved cited work.

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

This paper cites Hybrid position/force control of manipulators,.

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

This paper cites Reinforcement learning in robotics: A survey,.

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

This paper cites Learning from demonstration,.

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

This paper cites A survey of robot learning from demonstration,.

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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Observation 59f5bf8d-4871-4464-8aba-82cc9ed41505 · outbound

This paper cites Deep reinforcement learning for high precision assembly tasks,.

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

This paper cites Learning latent plans from play,.

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

This paper cites Model-agnostic meta-learning for fast adaptation of deep networks,.

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

This paper cites Waypoint-based imitation learning for robotic manipulation,.

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

This paper cites Perceiver-actor: A multi-task transformer for robotic manipulation,.

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

This paper cites Vima: General robot manipulation with multimodal prompts,.

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

This paper cites Imitation learning for high precision peg-in-hole tasks,.

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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source=pdf_text observed=2026-08-01T03:37:49.754553Z digest=sha256:3f091f0344c1557fad02a90aef479bb1895bcf94f8fdf0bf89615e1f2bd7f573

Observation d4458579-cba1-45e5-b372-fb1ae3dfbff9 · outbound

This paper cites From Imitation to Refinement -- Residual RL for Precise Assembly.

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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source=pdf_text observed=2026-08-01T03:37:49.786376Z digest=sha256:52283779a0ae8796708589be4da18864a64dc03cdd765f11b9f1ad71af02e5cc

Observation f47401ef-83b0-4f68-8d52-f1f00818336e · outbound

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

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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Observation 837db92d-1874-4aa9-b1ad-baf70e6f0444 · outbound

This paper cites Sim-to-real via sim- to-sim: Data-efficient robotic grasping via randomized-to-canonical adaptation networks,.

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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Observation 40a07b8b-3bf3-4654-852e-861a5c19f0ab · outbound

This paper cites Fast robust peg-in- hole insertion with continuous visual servoing,.

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

This paper cites CliqueParcel: An Approach For Batching LLM Prompts That Jointly Optimizes Efficiency And Faithfulness.

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

This paper cites Precise and Dexterous Robotic Manipulation via Human-in-the-Loop Reinforcement Learning.

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

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

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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source=pdf_text observed=2026-08-01T03:37:50.067609Z digest=sha256:7f21a49a9cefd4a5f3d1bb15ed97b4399e878a1e677d4ed58675872f85a64bbf

Observation fe705f70-9826-4aed-8fdc-54cbb3d67a00 · outbound

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

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

This paper cites Deep residual learning for image recognition,.

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

This paper cites U-net: Convolutional networks for biomedical image segmentation,.

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

This paper cites Denoising Diffusion Probabilistic Models.

The Curse of Precision: A Data Scaling Law for High-Precision Robotic Manipulation Denoising Diffusion Probabilistic Models

Reference 39

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