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Paper Citation Record · LEDGER

Learning Semantic Atomic Skills for Multi-Task Robotic Manipulation

As of 7 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 3 inbound Pith citation observations for arXiv:2512.18368.

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

pith.paper-citation-record.v1
2512.18368 v2

Coverage vector

measured 54 of 54 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T15:05:06.742686Z

measured 57 of 57 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T22:35:06.034052Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-07-04T13:49:51.130457Z

Reference resolution

54 of 54 outbound references displayed

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External citation measurements

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Outbound references

Observation fe52d95a-d494-4a56-b5ee-ec80c9c45749 · outbound

This paper cites GPT-4 Technical Report.

Learning Semantic Atomic Skills for Multi-Task Robotic Manipulation GPT-4 Technical Report

Reference 1

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source=pdf_text observed=2026-08-03T15:05:01.727975Z digest=sha256:ce0d35a11c8614acc3c29cf059ba870a6e5e0bd2e7d3adb3c65b4f74cd239ea0

Observation 384aca80-181a-45a0-93e7-fffcd6613991 · outbound

This paper cites OPAL: Offline Primitive Discovery for Accelerating Offline Reinforcement Learning.

Learning Semantic Atomic Skills for Multi-Task Robotic Manipulation OPAL: Offline Primitive Discovery for Accelerating Offline Reinforcement Learning

Reference 2

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source=pdf_text observed=2026-08-03T15:05:01.788849Z digest=sha256:cd92ca28a9496a059e6729fc9666546e2285319e02967c9df52abcf442e097a2

Observation c9b7adf5-bfa5-4586-8a25-4c474c9dbd54 · outbound

This paper cites Qwen2.5-VL Technical Report.

Learning Semantic Atomic Skills for Multi-Task Robotic Manipulation Qwen2.5-VL Technical Report

Reference 3

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source=pdf_text observed=2026-08-03T15:05:01.874254Z digest=sha256:821575e63d1db7a1d15c62cb71e4063683043ac26c9ab45fe02b4572e609b7fe

Observation 67367e29-56a6-4d5b-b4a5-da50fc355638 · outbound

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

Learning Semantic Atomic Skills for Multi-Task Robotic Manipulation $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control

Reference 4

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source=pdf_text observed=2026-08-03T15:05:01.956136Z digest=sha256:2038f5692d23110681f0683406b87ca22766de4bcb8dae20f692920cdaa5b152

Observation 10b4e431-09c5-49bf-8edf-58dd02851d4e · outbound

This paper cites Latent-Variable Advantage-Weighted Policy Optimization for Offline RL.

Learning Semantic Atomic Skills for Multi-Task Robotic Manipulation Latent-Variable Advantage-Weighted Policy Optimization for Offline RL

Reference 5

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source=pdf_text observed=2026-08-03T15:05:02.040385Z digest=sha256:ed1e22abd79dbafb31055c6f371c95b64f15e57c81dd0edd1c49a1b8fa1e527d

Observation 7720cdc7-a46e-4949-90f2-cc086b60de62 · outbound

This paper cites Deco: Task decomposition and skill composition for zero- shot generalization in long-horizon 3d manipulation.arXiv preprint arXiv:2505.00527, 2025.

Learning Semantic Atomic Skills for Multi-Task Robotic Manipulation Deco: Task decomposition and skill composition for zero- shot generalization in long-horizon 3d manipulation.arXiv preprint arXiv:2505.00527, 2025

Reference 6

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source=pdf_text observed=2026-08-03T15:05:02.123954Z digest=sha256:b49a3649aeecaf1338742f8acb48eb9ad7b7109a7d1e539e1972195cea454139

Observation a4329e92-e2fc-4fe7-8e25-ebd7fb7e9a89 · outbound

This paper cites Diffusion policy: Visuomotor policy learning via action dif- fusion.The International Journal of Robotics Research, page 02783649241273668, 2023.

Learning Semantic Atomic Skills for Multi-Task Robotic Manipulation Diffusion policy: Visuomotor policy learning via action dif- fusion.The International Journal of Robotics Research, page 02783649241273668, 2023

Reference 7

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source=pdf_text observed=2026-08-03T15:05:02.206022Z digest=sha256:d7ce40e0ff59b8fbe0f086f7f0022e66e14ff0c4efc30125e5f98c51bf7ff9ac

Observation cc65ec1f-b2b5-4d86-9486-5ab5b0de594d · outbound

This paper cites Dynamic Contrastive Skill Learning with State-Transition Based Skill Clustering and Dynamic Length Adjustment.

Learning Semantic Atomic Skills for Multi-Task Robotic Manipulation Dynamic Contrastive Skill Learning with State-Transition Based Skill Clustering and Dynamic Length Adjustment

Reference 8

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source=pdf_text observed=2026-08-03T15:05:02.238585Z digest=sha256:4739ee68a55abc63be573bc3db831d91f1469a131ad9d6b0124757a8ff21e6f7

Observation b9dbe80f-ddc2-44f5-b07f-956694af6d16 · outbound

This paper cites Multi-task policy search for robotics.

Learning Semantic Atomic Skills for Multi-Task Robotic Manipulation Multi-task policy search for robotics

Reference 9

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Observation a3088d15-5021-4bff-87c0-ba481279eda2 · outbound

This paper cites Learning a thousand tasks in a day.Science Robotics, 10(108):eadv7594, 2025.

Learning Semantic Atomic Skills for Multi-Task Robotic Manipulation Learning a thousand tasks in a day.Science Robotics, 10(108):eadv7594, 2025

Reference 10

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source=pdf_text observed=2026-08-03T15:05:02.419472Z digest=sha256:86fd0b842fb87eb57c31885b32d98b478bce888df31215f154cf17f8e5a2da62

Observation 5f4a54cf-0e53-4cd2-932d-3945038f5aac · outbound

This paper cites Taming transformers for high-resolution image synthesis.

Learning Semantic Atomic Skills for Multi-Task Robotic Manipulation Taming transformers for high-resolution image synthesis

Reference 11

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source=pdf_text observed=2026-08-03T15:05:02.593795Z digest=sha256:21ab0423542753b4d3967c7863ed50ecb277ed05e8ac87a272094ea4421f589d

Observation c922ebd1-e6cd-4861-ac89-bd243946c903 · outbound

This paper cites Restructuring Vector Quantization with the Rotation Trick.

Learning Semantic Atomic Skills for Multi-Task Robotic Manipulation Restructuring Vector Quantization with the Rotation Trick

Reference 12

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source=pdf_text observed=2026-08-03T15:05:02.745323Z digest=sha256:86230a7ca582c40abb23384cd2efd5dc9273439260e84e3cf351ced2d9769561

Observation 5afb6bda-ba0d-4375-9729-99b057c0a7ef · outbound

This paper cites Mobile aloha: Learning bimanual mobile manipulation using low- cost whole-body teleoperation.

Learning Semantic Atomic Skills for Multi-Task Robotic Manipulation Mobile aloha: Learning bimanual mobile manipulation using low- cost whole-body teleoperation

Reference 13

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source=pdf_text observed=2026-08-03T15:05:02.834672Z digest=sha256:807f8008cc96f9f26449066a51059c9a2c45bbce00a23f7f42eb0d8a8dfea60b

Observation 11706f20-3299-4e47-88b9-dde7d60358fd · outbound

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

Learning Semantic Atomic Skills for Multi-Task Robotic Manipulation Lisa: Learning interpretable skill abstractions from language.Advances in Neural Information Processing Systems, 35:21711–21724, 2022

Reference 14

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source=pdf_text observed=2026-08-03T15:05:02.933132Z digest=sha256:ce7eb3f90a0f374f5ae6613228e454e4e4037130df92140d47313228c1863edc

Observation 65060e76-54e7-49a8-a40d-09e87fabc124 · outbound

This paper cites Baku: An efficient transformer for multi-task policy learning.

Learning Semantic Atomic Skills for Multi-Task Robotic Manipulation Baku: An efficient transformer for multi-task policy learning

Reference 15

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source=pdf_text observed=2026-08-03T15:05:03.051042Z digest=sha256:0227e437c7af9c4e62ed108646bd5b71b3f9a0b36152e3ac1f474c8990bb6b2c

Observation 36140aa1-b887-4355-9b14-f5656b4b39da · outbound

This paper cites Denoising dif- fusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020.

Learning Semantic Atomic Skills for Multi-Task Robotic Manipulation Denoising dif- fusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020

Reference 16

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source=pdf_text observed=2026-08-03T15:05:03.202159Z digest=sha256:4e69ea754e31d261c9e823db280e0c51bf03aae9cc4f496a1bad06039509a0b3

Observation 49176935-da59-4e4c-a172-d0113ba9cccb · outbound

This paper cites $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization.

Learning Semantic Atomic Skills for Multi-Task Robotic Manipulation $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization

Reference 17

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source=pdf_text observed=2026-08-03T15:05:03.261026Z digest=sha256:08b74a707afb6fb92bbdeb61059207f463208df11e3495fc6e6f71dc0e5d2eaf

Observation 316e30c7-827f-40eb-9c1b-3861da7d1ed7 · outbound

This paper cites Adaptive mixtures of local experts.Neu- ral computation, 3(1):79–87, 1991.

Learning Semantic Atomic Skills for Multi-Task Robotic Manipulation Adaptive mixtures of local experts.Neu- ral computation, 3(1):79–87, 1991

Reference 18

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source=pdf_text observed=2026-08-03T15:05:03.317653Z digest=sha256:0fd754fdcd2ecbfd3674e39ce233cc8c26e05b039e9b9967623ea60111884be8

Observation e8446025-8761-4522-b741-3319e6f885c1 · outbound

This paper cites an unresolved cited work.

Learning Semantic Atomic Skills for Multi-Task Robotic Manipulation Unresolved cited work

Reference 19

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source=pdf_text observed=2026-08-03T15:05:03.392711Z digest=sha256:b6dd4e731b2c8916de1d9f291b2e3c1bb1d3f2c157c60c489d0c959d8feb7c94

Observation 54c5b480-538e-4a7e-b71f-8b94d903f683 · outbound

This paper cites Rethinking mutual information for language condi- tioned skill discovery on imitation learning.

Learning Semantic Atomic Skills for Multi-Task Robotic Manipulation Rethinking mutual information for language condi- tioned skill discovery on imitation learning

Reference 20

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source=pdf_text observed=2026-08-03T15:05:03.467875Z digest=sha256:327086b18048ae4c4e1051c04da2f1395952ef34bf125356de49eca6a27723a3

Observation 913d4a37-e2cc-4815-9607-6bb788c51893 · outbound

This paper cites 3D Diffuser Actor: Policy Diffusion with 3D Scene Representations.

Learning Semantic Atomic Skills for Multi-Task Robotic Manipulation 3D Diffuser Actor: Policy Diffusion with 3D Scene Representations

Reference 21

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source=pdf_text observed=2026-08-03T15:05:03.585870Z digest=sha256:6e2fd7472c2b27148a7cef15ee000d09c753182b989c660ccb6c0b6d2a20da77

Observation e3a945d5-3587-43b9-a8a3-9b2a26e641fe · outbound

This paper cites Supervised contrastive learning.Advances in neural information processing systems, 33:18661–18673,.

Learning Semantic Atomic Skills for Multi-Task Robotic Manipulation Supervised contrastive learning.Advances in neural information processing systems, 33:18661–18673,

Reference 22

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source=pdf_text observed=2026-08-03T15:05:03.677334Z digest=sha256:4f4f1710cba09c4ed0fd9ebcee4f0c34ccd47f3d8c456f2c0c9a946afddbf33d

Observation 937a1c5c-1d9e-4ab1-a068-0f3e923a729c · outbound

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

Learning Semantic Atomic Skills for Multi-Task Robotic Manipulation OpenVLA: An Open-Source Vision-Language-Action Model

Reference 23

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source=pdf_text observed=2026-08-03T15:05:03.830003Z digest=sha256:7bff8d1df59d785ff3593bf8799fe0c43272cf4fd18cbb9eaa53cea8f4931353

Observation aa9cd945-bd66-48ed-bbf8-35e9b5331b12 · outbound

This paper cites Compile: Compositional imita- tion learning and execution.

Learning Semantic Atomic Skills for Multi-Task Robotic Manipulation Compile: Compositional imita- tion learning and execution

Reference 24

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source=pdf_text observed=2026-08-03T15:05:03.935158Z digest=sha256:1d4699519590a7f15ffe4a88c47ef1978756036aae9647bbbb952621b213c99f

Observation 75eaf3c5-beaf-4701-8cc9-4f353ab537fe · outbound

This paper cites Skill discovery in con- tinuous reinforcement learning domains using skill chain- ing.Advances in neural information processing systems, 22,.

Learning Semantic Atomic Skills for Multi-Task Robotic Manipulation Skill discovery in con- tinuous reinforcement learning domains using skill chain- ing.Advances in neural information processing systems, 22,

Reference 25

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source=pdf_text observed=2026-08-03T15:05:04.058143Z digest=sha256:3a865b30579d0d79199df820689adb7e01bd16a1a6b331ccd1f288d00abe5419

Observation bfba8921-756b-4025-93b5-e3db584dc140 · outbound

This paper cites Behavior Generation with Latent Actions.

Learning Semantic Atomic Skills for Multi-Task Robotic Manipulation Behavior Generation with Latent Actions

Reference 26

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source=pdf_text observed=2026-08-03T15:05:04.172530Z digest=sha256:b8f388d57d595d58d9d530130a0e2c64a9b8aa997d1c692864d0a0d6c9739cca

Observation 7dbbc306-9f7b-4e23-897e-9611a9982e89 · outbound

This paper cites STAR: Learning Diverse Robot Skill Abstractions through Rotation-Augmented Vector Quantization.

Learning Semantic Atomic Skills for Multi-Task Robotic Manipulation STAR: Learning Diverse Robot Skill Abstractions through Rotation-Augmented Vector Quantization

Reference 27

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source=pdf_text observed=2026-08-03T15:05:04.257977Z digest=sha256:6666580717a0447f6d19fb8edf9a8277f5539b907e7fcfcdfd88c25badc67218

Observation c8087e70-1560-402d-a92e-cb6b25fce7ce · outbound

This paper cites Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges.

Learning Semantic Atomic Skills for Multi-Task Robotic Manipulation Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges

Reference 28

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source=pdf_text observed=2026-08-03T15:05:04.378414Z digest=sha256:fb0bb65c4e433505004d042a921d67a54ced4d0ee42c4909fe6b862c692abab4

Observation edfcd4fc-0ae2-4c42-9188-ae6158ed4777 · outbound

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

Learning Semantic Atomic Skills for Multi-Task Robotic Manipulation Skilldiffuser: Interpretable hi- erarchical planning via skill abstractions in diffusion-based task execution

Reference 29

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source=pdf_text observed=2026-08-03T15:05:04.452999Z digest=sha256:dd3ad06f98ead846391892aaea8dc5abe21a1339fbbc480cd3766aa640a61105

Observation b98b1718-b948-4b4d-a3f8-8e8c793409d1 · outbound

This paper cites Flexible multitask learning with factorized dif- fusion policy.

Learning Semantic Atomic Skills for Multi-Task Robotic Manipulation Flexible multitask learning with factorized dif- fusion policy

Reference 30

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source=pdf_text observed=2026-08-03T15:05:04.558187Z digest=sha256:974333eeae40b200836f7f5d792b5bea9b77e34a286916f2cab00ecd2b4a97a4

Observation 5dc47ed2-d0f1-41ca-b03d-f6e9981102b5 · outbound

This paper cites RDT-1B: a Diffusion Foundation Model for Bimanual Manipulation.

Learning Semantic Atomic Skills for Multi-Task Robotic Manipulation RDT-1B: a Diffusion Foundation Model for Bimanual Manipulation

Reference 31

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source=pdf_text observed=2026-08-03T15:05:04.697581Z digest=sha256:f47ea82f734b328bab7d1ab0e5a5751992186c6c9bfe5582d6102e233a18ed5b

Observation 97b0bdc0-f83c-46d0-9e87-e7a3458d1540 · outbound

This paper cites Finite Scalar Quantization: VQ-VAE Made Simple.

Learning Semantic Atomic Skills for Multi-Task Robotic Manipulation Finite Scalar Quantization: VQ-VAE Made Simple

Reference 32

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source=pdf_text observed=2026-08-03T15:05:04.836630Z digest=sha256:e2e9d1f3d1867ed2bd7fa9eb53631bbc6ae1bc96a13d144c8703e6bc9f5c0ec3

Observation e278d0c4-600a-4bf7-aa13-7b78effec48f · outbound

This paper cites Quest: Self-supervised skill abstractions for learning continuous control.Advances in Neural Infor- mation Processing Systems, 37:4062–4089, 2024.

Learning Semantic Atomic Skills for Multi-Task Robotic Manipulation Quest: Self-supervised skill abstractions for learning continuous control.Advances in Neural Infor- mation Processing Systems, 37:4062–4089, 2024

Reference 33

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source=pdf_text observed=2026-08-03T15:05:04.982109Z digest=sha256:bb20a6cdc93888759b1a791d04bc28c13f1dda06687d99df34b3b3ca89ff4e7f

Observation f606f33a-ecc7-43e4-a6b4-9e14ba77f8f2 · outbound

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

Learning Semantic Atomic Skills for Multi-Task Robotic Manipulation Open x-embodiment: Robotic learning datasets and rt-x models: Open x-embodiment collaboration 0

Reference 34

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source=pdf_text observed=2026-08-03T15:05:05.094226Z digest=sha256:1da4298709a33629f83228d2ffa20120962524cabe29b14b2383b4d5b404ab14

Observation 7c6c6145-6b78-4c36-ab4a-9d0aaa6d72a6 · outbound

This paper cites Accelerat- ing reinforcement learning with learned skill priors.

Learning Semantic Atomic Skills for Multi-Task Robotic Manipulation Accelerat- ing reinforcement learning with learned skill priors

Reference 35

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source=pdf_text observed=2026-08-03T15:05:05.273080Z digest=sha256:75606f7728e1f18bbffcdcb6c706473bb2330dd18ba434c7495eed60d4ca2e48

Observation afaba7db-e264-4864-b167-c9a98ee79873 · outbound

This paper cites Vision-based multi-task manipu- lation for inexpensive robots using end-to-end learning from demonstration.

Learning Semantic Atomic Skills for Multi-Task Robotic Manipulation Vision-based multi-task manipu- lation for inexpensive robots using end-to-end learning from demonstration

Reference 36

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source=pdf_text observed=2026-08-03T15:05:05.339850Z digest=sha256:36706c99cac68bac1ff070b9c7bc8ad2665fed189e9a583ce38d9e2899498118

Observation 546fb2ab-9b42-48ee-ae80-80af621c397f · outbound

This paper cites The sparsely-gated mixture-of-experts layer.

Learning Semantic Atomic Skills for Multi-Task Robotic Manipulation The sparsely-gated mixture-of-experts layer

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source=pdf_text observed=2026-08-03T15:05:05.459034Z digest=sha256:065c8a5f050cab69f42c59db09cb6d9d1b5b211f8afd301e83fde4cf27a23dc8

Observation ff7b4778-00c0-4ea1-89af-e0d610bd389a · outbound

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

Learning Semantic Atomic Skills for Multi-Task Robotic Manipulation Perceiver- actor: A multi-task transformer for robotic manipulation

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source=pdf_text observed=2026-08-03T15:05:05.573066Z digest=sha256:10e553eff50c24d156bccde071bdd0ad527129a28f2e30a82b317837ee4c4af8

Observation 8ba2a22e-1e49-45fb-9fc4-fe118480192b · outbound

This paper cites Be- tween mdps and semi-mdps: A framework for temporal ab- straction in reinforcement learning.Artificial intelligence, 112(1-2):181–211, 1999.

Learning Semantic Atomic Skills for Multi-Task Robotic Manipulation Be- tween mdps and semi-mdps: A framework for temporal ab- straction in reinforcement learning.Artificial intelligence, 112(1-2):181–211, 1999

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source=pdf_text observed=2026-08-03T15:05:05.688321Z digest=sha256:bb4c6713cd37129392ddf350e82abd706f1e65cfbf06b6311fca80c9db2002d2

Observation 4319dc09-2fe9-4891-9699-cd17ae65b398 · outbound

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

Learning Semantic Atomic Skills for Multi-Task Robotic Manipulation Octo: An Open-Source Generalist Robot Policy

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source=pdf_text observed=2026-08-03T15:05:05.799097Z digest=sha256:33da58a5c81d16c7e6f2c6d5a3a5a671240a35c96d65599dbf58377da79b0311

Observation 0b655960-684d-4b92-9dd8-244c334056de · outbound

This paper cites Deep Generative Models in Robotics: A Survey on Learning from Multimodal Demonstrations.

Learning Semantic Atomic Skills for Multi-Task Robotic Manipulation Deep Generative Models in Robotics: A Survey on Learning from Multimodal Demonstrations

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source=pdf_text observed=2026-08-03T15:05:05.908748Z digest=sha256:faaff45dcaf0ababc4f789e544cbf00a7c2d51651964ad76bfe99a899c7efec2

Observation 534c417b-c476-4d4c-9f88-13b1bdbd3e3a · outbound

This paper cites Neural discrete representation learning.Advances in neural information pro- cessing systems, 30, 2017.

Learning Semantic Atomic Skills for Multi-Task Robotic Manipulation Neural discrete representation learning.Advances in neural information pro- cessing systems, 30, 2017

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source=pdf_text observed=2026-08-03T15:05:05.992070Z digest=sha256:1807db05165034b623d79c879feb8bd805832fc85a7139ec5c073eb30c81a2ce

Observation 86322f84-56d0-486f-b234-105cfb50d915 · outbound

This paper cites Sparse Diffusion Policy: A Sparse, Reusable, and Flexible Policy for Robot Learning.

Learning Semantic Atomic Skills for Multi-Task Robotic Manipulation Sparse Diffusion Policy: A Sparse, Reusable, and Flexible Policy for Robot Learning

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source=pdf_text observed=2026-08-03T15:05:06.047387Z digest=sha256:29f3ded022f0ac28e1471b80cda8ecaae005535a0142acab9e566d94385af24f

Observation 7cda06e7-79a1-4cde-9638-fc2b97cb9182 · outbound

This paper cites Discrete policy: Learning dis- entangled action space for multi-task robotic manipulation.

Learning Semantic Atomic Skills for Multi-Task Robotic Manipulation Discrete policy: Learning dis- entangled action space for multi-task robotic manipulation

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source=pdf_text observed=2026-08-03T15:05:06.092022Z digest=sha256:ae0f80e295e985d23844216b87ee2bf1dd1cb9e59c3fe890eef27e121d8bf8df

Observation 58c6c31d-9f6a-43a6-96a3-efbbc2ae92f2 · outbound

This paper cites Afforddp: Gen- eralizable diffusion policy with transferable affordance.

Learning Semantic Atomic Skills for Multi-Task Robotic Manipulation Afforddp: Gen- eralizable diffusion policy with transferable affordance

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source=pdf_text observed=2026-08-03T15:05:06.118995Z digest=sha256:32f4b700ddbe1635b4e0d03c01ef6b05ff52ed0556f9ac4ea2fa81fd68b7e469

Observation 66178f70-cb99-495e-b5b8-68192e26c9f6 · outbound

This paper cites Chaineddiffuser: Uni- fying trajectory diffusion and keypose prediction for robotic manipulation.

Learning Semantic Atomic Skills for Multi-Task Robotic Manipulation Chaineddiffuser: Uni- fying trajectory diffusion and keypose prediction for robotic manipulation

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source=pdf_text observed=2026-08-03T15:05:06.228853Z digest=sha256:8d463062f2fa6179fe450e28e9cc95894d0331a9ac35ee9dcddaa9f79d360c5d

Observation 5e9bd527-5cc1-432c-ae0f-c07daa5e189e · outbound

This paper cites Gnfactor: Multi-task real robot learning with generalizable neural feature fields.

Learning Semantic Atomic Skills for Multi-Task Robotic Manipulation Gnfactor: Multi-task real robot learning with generalizable neural feature fields

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source=pdf_text observed=2026-08-03T15:05:06.292913Z digest=sha256:0d28cb3a20e39b057a67a31cce99dcc869219a43d7c1648dc64907ef8e9dc649

Observation dd691b67-cd5c-4968-913c-956c31f1e7e4 · outbound

This paper cites 3D Diffusion Policy: Generalizable Visuomotor Policy Learning via Simple 3D Representations.

Learning Semantic Atomic Skills for Multi-Task Robotic Manipulation 3D Diffusion Policy: Generalizable Visuomotor Policy Learning via Simple 3D Representations

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source=pdf_text observed=2026-08-03T15:05:06.357906Z digest=sha256:46f86f66d9d71504e08c439ddf6d1d2469261f608486c650d954430d1b999bed

Observation f1861091-387a-4114-9028-f9f760ecd4aa · outbound

This paper cites Soundstream: An end- to-end neural audio codec.IEEE/ACM Transactions on Au- dio, Speech, and Language Processing, 30:495–507, 2021.

Learning Semantic Atomic Skills for Multi-Task Robotic Manipulation Soundstream: An end- to-end neural audio codec.IEEE/ACM Transactions on Au- dio, Speech, and Language Processing, 30:495–507, 2021

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source=pdf_text observed=2026-08-03T15:05:06.416193Z digest=sha256:5b97eaf1376d0bb217f86dc0ef03ba14bf9504024db1f224f5f775b77ebac07b

Observation c2775768-db8d-45d9-bd1f-e0c7e070b833 · outbound

This paper cites Vision-language models for vision tasks: A survey.IEEE transactions on pattern analysis and machine intelligence, 46(8):5625–5644, 2024.

Learning Semantic Atomic Skills for Multi-Task Robotic Manipulation Vision-language models for vision tasks: A survey.IEEE transactions on pattern analysis and machine intelligence, 46(8):5625–5644, 2024

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source=pdf_text observed=2026-08-03T15:05:06.478274Z digest=sha256:cab5adb35f8a68b2fb57ecc5417660bb07e4dace9dec6be41adbc413694a7803

Observation fc12de46-6346-4b21-8d39-e042dd01ff17 · outbound

This paper cites Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware.

Learning Semantic Atomic Skills for Multi-Task Robotic Manipulation Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware

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source=pdf_text observed=2026-08-03T15:05:06.549267Z digest=sha256:9c50d2209e52f592fe8350dae6a335ac127c02265b7c72f71d1f94906d77df4f

Observation 6eea51c1-271c-43b6-9074-af5524f2a8e1 · outbound

This paper cites Imitation learning: Progress, taxonomies and challenges.IEEE Transactions on Neural Networks and Learning Systems, 35(5):6322–6337, 2022.

Learning Semantic Atomic Skills for Multi-Task Robotic Manipulation Imitation learning: Progress, taxonomies and challenges.IEEE Transactions on Neural Networks and Learning Systems, 35(5):6322–6337, 2022

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source=pdf_text observed=2026-08-03T15:05:06.614587Z digest=sha256:721e70ab29dc2179b4bf300a2dea36301b2f40fc957d44c84e2dc49d6cd70c30

Observation 8818822f-2cd4-43d2-ae9d-3227818e8185 · outbound

This paper cites Plas: Latent action space for offline reinforcement learning.

Learning Semantic Atomic Skills for Multi-Task Robotic Manipulation Plas: Latent action space for offline reinforcement learning

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source=pdf_text observed=2026-08-03T15:05:06.675311Z digest=sha256:11172f2e189fe5f2a2eb204c03f07df61a40056630febc82ac7e715df20b2b50

Observation 72cb5b35-4504-4b77-80b6-d47b860c2384 · outbound

This paper cites Overview This supplementary document provides additional details, results, and visualizations that complement the main paper.

Learning Semantic Atomic Skills for Multi-Task Robotic Manipulation Overview This supplementary document provides additional details, results, and visualizations that complement the main paper

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source=pdf_text observed=2026-08-03T15:05:06.742686Z digest=sha256:29f77c390ed16ee7e63699a94e9827a5ff163e9f404698153ef8ae43daa4b75a

Pith citing papers

Observation 7a98322c-9b42-4145-8ac2-4b81ccf1734d · inbound

ARP: Enhancing Quantized Skill Abstractions via Visual Alignment and Iterative Refinement for Robotic Manipulation cites this paper.

ARP: Enhancing Quantized Skill Abstractions via Visual Alignment and Iterative Refinement for Robotic Manipulation Learning Semantic Atomic Skills for Multi-Task Robotic Manipulation

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local_arxiv, observed 2026-07-04T09:19:43.472265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-26T10:14:42.111428Z digest=sha256:895fef0634884ca4ba408b658814db262c6b370369e7f9b884c32a7a890eb45e

Observation 4ad76475-51bb-43a9-938d-f9e7017e0b92 · inbound

Improving Vision-Language-Action Model Fine-Tuning with Structured Stage and Keyframe Supervision cites this paper.

Improving Vision-Language-Action Model Fine-Tuning with Structured Stage and Keyframe Supervision Learning Semantic Atomic Skills for Multi-Task Robotic Manipulation

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verified exact
local_arxiv, observed 2026-07-04T13:49:51.132688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-26T04:57:13.894126Z digest=sha256:fe24b15bb40be1da0bbb1e0da8b4d587ab8776baf4f087823e03472486722724

Observation acd49d6d-112b-4b0f-9a8a-d0759d844b21 · inbound

AC-VLA: Robust Out-of-Distribution Action Execution via Compositional Learning cites this paper.

AC-VLA: Robust Out-of-Distribution Action Execution via Compositional Learning Learning Semantic Atomic Skills for Multi-Task Robotic Manipulation

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source=pdf_text observed=2026-08-01T22:35:06.034052Z digest=sha256:4174772a7cd71f596b68522733876db7bdf0e46c5d05b01cfed8676aca4a2756