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Paper Citation Record · LEDGER

Dual-Process Atomic Skill Learning: Decoupling Semantic Reasoning and Real-Time Control

As of 6 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2607.10625.

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

pith.paper-citation-record.v1
2607.10625 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-14T10:23:25.158961Z

measured 39 of 39 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.

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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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  • unresolved38
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  • malformed identifier1
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Outbound references

Observation c624c853-e148-4020-bfd3-ac58894432bf · outbound

This paper cites Do As I Can, Not As I Say: Grounding Language in Robotic Affordances.

Dual-Process Atomic Skill Learning: Decoupling Semantic Reasoning and Real-Time Control Do As I Can, Not As I Say: Grounding Language in Robotic Affordances

Reference 1

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Observation adc849a5-a02f-46fc-90e2-4cd3ff2767f5 · outbound

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

Dual-Process Atomic Skill Learning: Decoupling Semantic Reasoning and Real-Time Control GR00T N1: An Open Foundation Model for Generalist Humanoid Robots

Reference 2

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Observation b2699402-7ee3-4aa4-83ff-0bb98816596b · outbound

This paper cites Language models are few-shot learners.Advances in neural information processing systems, 33:1877–1901, 2020.

Dual-Process Atomic Skill Learning: Decoupling Semantic Reasoning and Real-Time Control Language models are few-shot learners.Advances in neural information processing systems, 33:1877–1901, 2020

Reference 3

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Observation cef4679a-a252-42cc-9727-f3971bd0ab94 · outbound

This paper cites Fast-in-slow: A dual-system vla model unifying fast manipulation within slow reasoning.

Dual-Process Atomic Skill Learning: Decoupling Semantic Reasoning and Real-Time Control Fast-in-slow: A dual-system vla model unifying fast manipulation within slow reasoning

Reference 4

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Observation 2eac8b42-aadf-4898-840d-d8cb82ce6ee1 · outbound

This paper cites BabyAI: A Platform to Study the Sample Efficiency of Grounded Language Learning.

Dual-Process Atomic Skill Learning: Decoupling Semantic Reasoning and Real-Time Control BabyAI: A Platform to Study the Sample Efficiency of Grounded Language Learning

Reference 5

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Observation d337e36d-cb0b-48ce-b80b-6498a0af87c6 · outbound

This paper cites Diversity is All You Need: Learning Skills without a Reward Function.

Dual-Process Atomic Skill Learning: Decoupling Semantic Reasoning and Real-Time Control Diversity is All You Need: Learning Skills without a Reward Function

Reference 6

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Observation de037021-c319-45cb-8dfd-4e9771cd554a · outbound

This paper cites One-shot visual imitation learning via meta-learning.

Dual-Process Atomic Skill Learning: Decoupling Semantic Reasoning and Real-Time Control One-shot visual imitation learning via meta-learning

Reference 7

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Observation 301ac8af-b839-432d-b73c-123cb0579c6f · outbound

This paper cites Lisa: Learning interpretable skill abstractions from language.Advances in Neural Information Processing Systems, 35:21711–21724, 2022.

Dual-Process Atomic Skill Learning: Decoupling Semantic Reasoning and Real-Time Control Lisa: Learning interpretable skill abstractions from language.Advances in Neural Information Processing Systems, 35:21711–21724, 2022

Reference 8

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Observation 6a312021-ca60-4d7e-a569-651d2695f8da · outbound

This paper cites Language-driven multi-task manipulation with action-mask-enhanced multimodal learning.IEEE Robotics and Automation Letters, 2026.

Dual-Process Atomic Skill Learning: Decoupling Semantic Reasoning and Real-Time Control Language-driven multi-task manipulation with action-mask-enhanced multimodal learning.IEEE Robotics and Automation Letters, 2026

Reference 9

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Observation fd3fb91f-ada2-4ef3-9ee7-e3907b692c60 · outbound

This paper cites Relay Policy Learning: Solving Long-Horizon Tasks via Imitation and Reinforcement Learning.

Dual-Process Atomic Skill Learning: Decoupling Semantic Reasoning and Real-Time Control Relay Policy Learning: Solving Long-Horizon Tasks via Imitation and Reinforcement Learning

Reference 10

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Observation 19c96906-eb57-4ce9-919b-8a07cf082842 · outbound

This paper cites Learning an embedding space for transferable robot skills.

Dual-Process Atomic Skill Learning: Decoupling Semantic Reasoning and Real-Time Control Learning an embedding space for transferable robot skills

Reference 11

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Observation 84dd0d9c-e653-44a7-904c-2b38c82b672c · outbound

This paper cites Discrete latent plans via semantic skill abstractions.

Dual-Process Atomic Skill Learning: Decoupling Semantic Reasoning and Real-Time Control Discrete latent plans via semantic skill abstractions

Reference 12

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Observation 13cfa000-d348-4eb4-96f9-eae570ee887e · outbound

This paper cites Rethinking mutual information for language conditioned skill discovery on imitation learning.

Dual-Process Atomic Skill Learning: Decoupling Semantic Reasoning and Real-Time Control Rethinking mutual information for language conditioned skill discovery on imitation learning

Reference 13

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Observation ef498cb7-f601-46ea-b3a8-85a84c80d5e5 · outbound

This paper cites Uniskill: Imitating human videos via cross-embodiment skill representations.arXiv preprint arXiv:2505.08787, 2025.

Dual-Process Atomic Skill Learning: Decoupling Semantic Reasoning and Real-Time Control Uniskill: Imitating human videos via cross-embodiment skill representations.arXiv preprint arXiv:2505.08787, 2025

Reference 14

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source=pdf_text observed=2026-07-14T10:23:25.158961Z digest=sha256:0ff5e3a548d6cd7c5393ac11568cec63e10c97561265a7833c6a671202bf89ca

Observation ea8c91fe-adcd-41a9-86b4-8a536ed98882 · outbound

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

Dual-Process Atomic Skill Learning: Decoupling Semantic Reasoning and Real-Time Control OpenVLA: An Open-Source Vision-Language-Action Model

Reference 15

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Observation 1d49da04-0167-4976-9d09-7bd9edcc4275 · outbound

This paper cites Skill discovery in continuous reinforcement learning domains using skill chaining.Advances in neural information processing systems, 22, 2009.

Dual-Process Atomic Skill Learning: Decoupling Semantic Reasoning and Real-Time Control Skill discovery in continuous reinforcement learning domains using skill chaining.Advances in neural information processing systems, 22, 2009

Reference 16

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Observation c3f0f5e2-f7bc-4419-99c1-72c18d4e2892 · outbound

This paper cites Skilldiffuser: Interpretable hierarchical planning via skill abstractions in diffusion-based task execution.

Dual-Process Atomic Skill Learning: Decoupling Semantic Reasoning and Real-Time Control Skilldiffuser: Interpretable hierarchical planning via skill abstractions in diffusion-based task execution

Reference 17

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Observation b89cf598-bb33-46f8-bc31-e7dbec54bedd · outbound

This paper cites Delta: Decomposed efficient long-term robot task planning using large language models.

Dual-Process Atomic Skill Learning: Decoupling Semantic Reasoning and Real-Time Control Delta: Decomposed efficient long-term robot task planning using large language models

Reference 18

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Observation 8b10bb3c-3a22-4252-ba67-c53947c43aee · outbound

This paper cites Learning latent plans from play.

Dual-Process Atomic Skill Learning: Decoupling Semantic Reasoning and Real-Time Control Learning latent plans from play

Reference 19

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Observation 6c8529b3-ade8-424f-946a-f6ec99829fee · outbound

This paper cites Walk the talk: Connecting language, knowledge, and action in route instructions.Def, 2(6):4, 2006.

Dual-Process Atomic Skill Learning: Decoupling Semantic Reasoning and Real-Time Control Walk the talk: Connecting language, knowledge, and action in route instructions.Def, 2(6):4, 2006

Reference 20

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Observation 400e7dbb-e305-470c-804c-5683c0e5a14d · outbound

This paper cites Calvin: A benchmark for language-conditioned policy learning for long-horizon robot manipulation tasks.IEEE Robotics and Automation Letters, 7(3):7327–7334, 2022.

Dual-Process Atomic Skill Learning: Decoupling Semantic Reasoning and Real-Time Control Calvin: A benchmark for language-conditioned policy learning for long-horizon robot manipulation tasks.IEEE Robotics and Automation Letters, 7(3):7327–7334, 2022

Reference 21

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Observation ce499c0c-5a6f-412e-aaf6-902f547015ab · outbound

This paper cites Visual reinforcement learning with imagined goals.Advances in neural information processing systems, 31, 2018.

Dual-Process Atomic Skill Learning: Decoupling Semantic Reasoning and Real-Time Control Visual reinforcement learning with imagined goals.Advances in neural information processing systems, 31, 2018

Reference 22

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Observation a9457f98-a61a-496a-8527-047068d05661 · outbound

This paper cites Learning language- conditioned robot behavior from offline data and crowd-sourced annotation.

Dual-Process Atomic Skill Learning: Decoupling Semantic Reasoning and Real-Time Control Learning language- conditioned robot behavior from offline data and crowd-sourced annotation

Reference 23

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Observation f3e8026e-ddc4-45a1-8952-3df5118e7114 · outbound

This paper cites R3M: A Universal Visual Representation for Robot Manipulation.

Dual-Process Atomic Skill Learning: Decoupling Semantic Reasoning and Real-Time Control R3M: A Universal Visual Representation for Robot Manipulation

Reference 24

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Observation e50de723-943a-46cc-9295-4a714cf9bd29 · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

Dual-Process Atomic Skill Learning: Decoupling Semantic Reasoning and Real-Time Control DINOv2: Learning Robust Visual Features without Supervision

Reference 25

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Observation a6dab876-32c9-4dee-92e7-76609187756d · outbound

This paper cites Latent plans for task-agnostic offline reinforcement learning.

Dual-Process Atomic Skill Learning: Decoupling Semantic Reasoning and Real-Time Control Latent plans for task-agnostic offline reinforcement learning

Reference 26

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Observation 66833863-81fe-424c-a957-19eb923620ff · outbound

This paper cites From llms to actions: Latent codes as bridges in hierarchical robot control.

Dual-Process Atomic Skill Learning: Decoupling Semantic Reasoning and Real-Time Control From llms to actions: Latent codes as bridges in hierarchical robot control

Reference 27

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Observation 52c47a4e-0bc2-4851-b1d5-9fb843976f3b · outbound

This paper cites Cliport: What and where pathways for robotic manipulation.

Dual-Process Atomic Skill Learning: Decoupling Semantic Reasoning and Real-Time Control Cliport: What and where pathways for robotic manipulation

Reference 28

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Observation 88b85e26-b952-4e1d-b7d9-cadf72149d98 · outbound

This paper cites RationalVLA: A Rational Vision-Language-Action Model with Dual System.

Dual-Process Atomic Skill Learning: Decoupling Semantic Reasoning and Real-Time Control RationalVLA: A Rational Vision-Language-Action Model with Dual System

Reference 29

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Observation 815d2fad-c546-47b1-a374-bfcd7b0e1f55 · outbound

This paper cites Language-conditioned imitation learning for robot manipulation tasks.Advances in Neural Information Processing Systems, 33:13139–13150, 2020.

Dual-Process Atomic Skill Learning: Decoupling Semantic Reasoning and Real-Time Control Language-conditioned imitation learning for robot manipulation tasks.Advances in Neural Information Processing Systems, 33:13139–13150, 2020

Reference 30

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Observation ae146514-44f7-4c43-b669-76f15336023b · outbound

This paper cites Rold: Robot latent diffusion for multi-task policy modeling.

Dual-Process Atomic Skill Learning: Decoupling Semantic Reasoning and Real-Time Control Rold: Robot latent diffusion for multi-task policy modeling

Reference 31

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Observation e0cdcd65-5438-487f-b832-88c2392dd9a6 · outbound

This paper cites Understanding natural language commands for robotic navigation and mobile manipulation.

Dual-Process Atomic Skill Learning: Decoupling Semantic Reasoning and Real-Time Control Understanding natural language commands for robotic navigation and mobile manipulation

Reference 32

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source=pdf_text observed=2026-07-14T10:23:25.158961Z digest=sha256:a56896ad8548d166e7e79be0e2ce4cce074a7bcd1d776604624ce2399837b86e

Observation 8a153276-29fc-4bb9-a24f-279fdf89c857 · outbound

This paper cites Mujoco: A physics engine for model-based control.

Dual-Process Atomic Skill Learning: Decoupling Semantic Reasoning and Real-Time Control Mujoco: A physics engine for model-based control

Reference 33

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Observation c233557e-3b8c-40b5-b40d-c41dd35ae4ee · outbound

This paper cites Lotus: Continual imitation learning for robot manipulation through unsupervised skill discovery.

Dual-Process Atomic Skill Learning: Decoupling Semantic Reasoning and Real-Time Control Lotus: Continual imitation learning for robot manipulation through unsupervised skill discovery

Reference 34

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Observation 36c15af1-d88f-41a1-b0a7-0a8efe55907a · outbound

This paper cites Rethinking visual-language-action model scaling: Alignment, mixture, and regularization.arXiv preprint arXiv:2602.09722, 2026.

Dual-Process Atomic Skill Learning: Decoupling Semantic Reasoning and Real-Time Control Rethinking visual-language-action model scaling: Alignment, mixture, and regularization.arXiv preprint arXiv:2602.09722, 2026

Reference 35

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source=pdf_text observed=2026-07-14T10:23:25.158961Z digest=sha256:4e727a832ce5a33b374fbd26f6e7f08a25f226faaa98bcd183e21e75389e07b7

Observation 430df5e5-a392-4761-9d64-6c960fc8d869 · outbound

This paper cites Dynamind: Reasoning over abstract video dynamics for embodied decision- making.

Dual-Process Atomic Skill Learning: Decoupling Semantic Reasoning and Real-Time Control Dynamind: Reasoning over abstract video dynamics for embodied decision- making

Reference 36

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T10:23:25.158961Z digest=sha256:f924c2fff999a9c03c87a3edfcf1630ccc63222b380648a7dcaf9eb8a62222b5

Observation c53e422f-3645-4dce-8079-b4a6fc11b639 · outbound

This paper cites DexVLA: Vision-Language Model with Plug-In Diffusion Expert for General Robot Control.

Dual-Process Atomic Skill Learning: Decoupling Semantic Reasoning and Real-Time Control DexVLA: Vision-Language Model with Plug-In Diffusion Expert for General Robot Control

Reference 37

Resolution
unresolved
no resolver link, observed 2026-07-14T10:23:25.158961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T10:23:25.158961Z digest=sha256:d2e595a0625c9792f80fc11ec4eab4e3d441894dbfd09c0ff502434a9412147f

Observation 32b0a85d-399d-41a8-ac4e-dc0d9b2d491d · outbound

This paper cites Meta-world: A benchmark and evaluation for multi-task and meta reinforcement learning.

Dual-Process Atomic Skill Learning: Decoupling Semantic Reasoning and Real-Time Control Meta-world: A benchmark and evaluation for multi-task and meta reinforcement learning

Reference 38

Resolution
unresolved
no resolver link, observed 2026-07-14T10:23:25.158961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T10:23:25.158961Z digest=sha256:f9160c8bc76c3cfb3453f6e49f7308cddac70df43f7902125c22be797990c9ee

Observation 75c3a00d-1057-4cd3-81b7-49631334aa26 · outbound

This paper cites EXTRACT: Efficient Policy Learning by Extracting Transferable Robot Skills from Offline Data.

Dual-Process Atomic Skill Learning: Decoupling Semantic Reasoning and Real-Time Control EXTRACT: Efficient Policy Learning by Extracting Transferable Robot Skills from Offline Data

Reference 39

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malformed identifier
no resolver link, observed 2026-07-14T10:23:25.158961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T10:23:25.158961Z digest=sha256:b383eb3ac27c179c04b4479e6dec3feaea88a81f68ec693e950dd28ec9288b61

Pith citing papers

No inbound Pith citation observations are available.