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Paper Citation Record · LEDGER

DynamicManip: Enabling Dynamic Manipulation from a Single Static Demonstration

As of 22 August 2026, this Paper Citation Record lists 62 of 62 outbound references and 0 inbound Pith citation observations for arXiv:2608.01452.

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

pith.paper-citation-record.v1
2608.01452 v1

Coverage vector

measured 62 of 62 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T00:14:32.690070Z

measured 62 of 62 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

62 of 62 outbound references displayed

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  • verified fuzzy15
  • unresolved46
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 263b6538-a2b7-4f2f-93e6-c13877ed2de7 · outbound

This paper cites Dynamic grasping with reachabil- ity and motion awareness.

DynamicManip: Enabling Dynamic Manipulation from a Single Static Demonstration Dynamic grasping with reachabil- ity and motion awareness

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T00:14:27.548563Z digest=sha256:9008d378722e7a39e3e3cb7e3feb10e6dfa46b9a0cfea4e7d1e15521fa4cd964

Observation 1e5737ce-d857-4416-b298-3507e06ee69c · outbound

This paper cites Rocoda: Counterfac- tual data augmentation for data-efficient robot learning from demonstrations.

DynamicManip: Enabling Dynamic Manipulation from a Single Static Demonstration Rocoda: Counterfac- tual data augmentation for data-efficient robot learning from demonstrations

Reference 2

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source=pdf_text observed=2026-08-06T00:14:27.619483Z digest=sha256:22fbbd2960b57bf5e7df37d320e1adbd3609314d0f85a97b2fb6e276a1b5b989

Observation ab3194b8-5948-4978-ba8d-1d7c4521547b · outbound

This paper cites A survey of robot learning from demonstration.Robotics and autonomous systems, 57(5):469–483, 2009.

DynamicManip: Enabling Dynamic Manipulation from a Single Static Demonstration A survey of robot learning from demonstration.Robotics and autonomous systems, 57(5):469–483, 2009

Reference 3

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source=pdf_text observed=2026-08-06T00:14:27.695739Z digest=sha256:457560bf2dd890c63953c57d3d1162447cb61fce137ba4e3c7132b14c2071e6e

Observation f96597a7-99eb-4acc-9fbb-a40270b4970b · outbound

This paper cites Towards a unified understanding of robot manipulation: A comprehensive survey.arXiv preprint arXiv:2510.10903, 2025.

DynamicManip: Enabling Dynamic Manipulation from a Single Static Demonstration Towards a unified understanding of robot manipulation: A comprehensive survey.arXiv preprint arXiv:2510.10903, 2025

Reference 4

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source=pdf_text observed=2026-08-06T00:14:27.750380Z digest=sha256:f2f050b0387d4626c545a9c10c1788e890a12d1bebda4a856cd8756c4dd2c727

Observation 480761e1-fe11-4d5e-b9d3-966e50f186d1 · outbound

This paper cites Far-dex: Few-shot data augmentation and adaptive residual policy refinement for dexterous manipulation.

DynamicManip: Enabling Dynamic Manipulation from a Single Static Demonstration Far-dex: Few-shot data augmentation and adaptive residual policy refinement for dexterous manipulation

Reference 5

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T00:14:27.829815Z digest=sha256:99cc912e37ec89f8a7823623ede1607df23e4bfe6f5f08c435026d3e47df46f8

Observation b71aefb4-69f6-4599-92ad-8ff3cf96c429 · outbound

This paper cites Data quality in imitation learning.Advances in neural information processing systems, 36:80375–80395, 2023.

DynamicManip: Enabling Dynamic Manipulation from a Single Static Demonstration Data quality in imitation learning.Advances in neural information processing systems, 36:80375–80395, 2023

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T00:14:27.921711Z digest=sha256:75c5d7bdf5ee1db32fd7941a93a33e2e93d5248e1e580591fee0b7a205f611b9

Observation dba73b9f-af35-4ea0-827c-510a5127041a · outbound

This paper cites A method for registration of 3-d shapes.IEEE Transactions on Pattern Analysis and Machine Intelligence, 14(2):239–256, 1992.

DynamicManip: Enabling Dynamic Manipulation from a Single Static Demonstration A method for registration of 3-d shapes.IEEE Transactions on Pattern Analysis and Machine Intelligence, 14(2):239–256, 1992

Reference 7

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source=pdf_text observed=2026-08-06T00:14:27.992014Z digest=sha256:420739ceb4ea0a60fc29455d06bb9675be8aa78386017b439596802c7276ca96

Observation 3ebed5c5-578e-4b74-9716-faf33a178b9d · outbound

This paper cites Trends and challenges in robot manipulation.Science, 364 (6446):eaat8414, 2019.

DynamicManip: Enabling Dynamic Manipulation from a Single Static Demonstration Trends and challenges in robot manipulation.Science, 364 (6446):eaat8414, 2019

Reference 8

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source=pdf_text observed=2026-08-06T00:14:28.055838Z digest=sha256:620369eaa192a2c7dc77fd48f84b2d0dce08b1131db4b1fd4aec948c5be4f598

Observation bdc10c36-6b65-45ae-9e1b-c7bf01c5e69e · outbound

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

DynamicManip: Enabling Dynamic Manipulation from a Single Static Demonstration GR00T N1: An Open Foundation Model for Generalist Humanoid Robots

Reference 9

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source=pdf_text observed=2026-08-06T00:14:28.119482Z digest=sha256:deea57a02bcaa3b67dc25ae68e19498d6bf00b1cdf58503ff13be75fd946703c

Observation c067a364-1626-4750-8ffe-3ace6fee7626 · outbound

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

DynamicManip: Enabling Dynamic Manipulation from a Single Static Demonstration $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control

Reference 10

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source=pdf_text observed=2026-08-06T00:14:28.214794Z digest=sha256:54a6dc74f40c34218ca5858717944f0b76b43808fe3f111bac40f444f833157d

Observation dcc73bd8-1c25-439b-b195-93f91e993b29 · outbound

This paper cites Real-Time Execution of Action Chunking Flow Policies.

DynamicManip: Enabling Dynamic Manipulation from a Single Static Demonstration Real-Time Execution of Action Chunking Flow Policies

Reference 11

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source=pdf_text observed=2026-08-06T00:14:28.310271Z digest=sha256:87df83f951771056c02c78ea72b8fbd7e6c3af3d08bc609b03ae614a4e520b2c

Observation 31e5a5d6-5055-43cc-aba2-3e9cd1c30c40 · outbound

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

DynamicManip: Enabling Dynamic Manipulation from a Single Static Demonstration RT-1: Robotics Transformer for Real-World Control at Scale

Reference 12

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source=pdf_text observed=2026-08-06T00:14:28.384199Z digest=sha256:3e0f7e2651699efeb2dfd27d2ba129efd0c2dd837cc36a244ebc3ff2733263f1

Observation 91e11fc8-9029-4afe-8415-2d557d98aba1 · outbound

This paper cites Pointnet: Deep learning on point sets for 3d classification and segmentation.

DynamicManip: Enabling Dynamic Manipulation from a Single Static Demonstration Pointnet: Deep learning on point sets for 3d classification and segmentation

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T00:14:28.449885Z digest=sha256:0184d7e6008d10bff8315abd0bb2e851d0b718180ea76bbd78844e8a05b959ef

Observation 93870a77-5be3-4f83-874d-e3134295f57c · outbound

This paper cites RoboTwin 2.0: A Scalable Data Generator and Benchmark with Strong Domain Randomization for Robust Bimanual Robotic Manipulation.

DynamicManip: Enabling Dynamic Manipulation from a Single Static Demonstration RoboTwin 2.0: A Scalable Data Generator and Benchmark with Strong Domain Randomization for Robust Bimanual Robotic Manipulation

Reference 14

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source=pdf_text observed=2026-08-06T00:14:28.543789Z digest=sha256:29da962e215880c0c86fecc4dfb570e27638fb75203e70a88c99d365eeae0b62

Observation ee5c71a6-093d-4119-bcb7-9d4fc125164a · outbound

This paper cites GenAug: Retargeting behaviors to unseen situations via Generative Augmentation.

DynamicManip: Enabling Dynamic Manipulation from a Single Static Demonstration GenAug: Retargeting behaviors to unseen situations via Generative Augmentation

Reference 15

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source=pdf_text observed=2026-08-06T00:14:28.611286Z digest=sha256:de2d75f81c6a4bc0a5045072c12f104e3197c3a4c8b8d514f8794e84ccb4bed9

Observation a59c7dc2-12c9-4096-a4a8-79e399996d8c · outbound

This paper cites Diffusion policy: Visuomotor policy learning via action diffusion.

DynamicManip: Enabling Dynamic Manipulation from a Single Static Demonstration Diffusion policy: Visuomotor policy learning via action diffusion

Reference 16

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source=pdf_text observed=2026-08-06T00:14:28.699111Z digest=sha256:ebe44276ea9091915fcc577cc3b8584befe090c9c31fa8b5a66b64943d502128

Observation ca4e2330-24ab-4c08-8d3b-1f3bb205752d · outbound

This paper cites RH20T: A Comprehensive Robotic Dataset for Learning Diverse Skills in One-Shot.

DynamicManip: Enabling Dynamic Manipulation from a Single Static Demonstration RH20T: A Comprehensive Robotic Dataset for Learning Diverse Skills in One-Shot

Reference 17

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source=pdf_text observed=2026-08-06T00:14:28.765019Z digest=sha256:b3e22f2dc335d2ebf5d557b298c5a804a18b09384627605e9e65012ef66334f8

Observation 99e9a23a-f8f0-4246-9360-a2b03ee724b9 · outbound

This paper cites DreamDojo: A Generalist Robot World Model from Large-Scale Human Videos.

DynamicManip: Enabling Dynamic Manipulation from a Single Static Demonstration DreamDojo: A Generalist Robot World Model from Large-Scale Human Videos

Reference 18

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source=pdf_text observed=2026-08-06T00:14:28.825528Z digest=sha256:7d336fdffc193e5c17777a0cd453a452b9377f91cd066d6322742465c5c39f29

Observation 2857239e-9973-454c-b453-a1043970473f · outbound

This paper cites RoboVerse: Towards a Unified Platform, Dataset and Benchmark for Scalable and Generalizable Robot Learning.

DynamicManip: Enabling Dynamic Manipulation from a Single Static Demonstration RoboVerse: Towards a Unified Platform, Dataset and Benchmark for Scalable and Generalizable Robot Learning

Reference 19

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source=pdf_text observed=2026-08-06T00:14:28.933293Z digest=sha256:6ee59836338aa1f5afca4e9690ca39e352c796cf96c3b931c505d38b6a0eeeef

Observation 11da9a10-4fc7-46bf-a2ea-686f08a55b31 · outbound

This paper cites Hyper3d: Ai-powered 3d model generator, 2024.

DynamicManip: Enabling Dynamic Manipulation from a Single Static Demonstration Hyper3d: Ai-powered 3d model generator, 2024

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T00:14:28.994281Z digest=sha256:6f5a58f8f67c188b47a34b3e0f572b91cb4e7b4aecb57c773ac3cd0f5edb2787

Observation 2ea5f6e8-f7b7-41ec-ae3c-131b17c9d62a · outbound

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

DynamicManip: Enabling Dynamic Manipulation from a Single Static Demonstration $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization

Reference 21

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source=pdf_text observed=2026-08-06T00:14:29.082211Z digest=sha256:d5c42a4c501c8d3d98c4976cd5154401b7181e2bea1c75923cac4b5be60721e2

Observation 97815e47-2161-4665-bf26-aaa04a526101 · outbound

This paper cites ${\pi}_{0.7}$: a Steerable Generalist Robotic Foundation Model with Emergent Capabilities.

DynamicManip: Enabling Dynamic Manipulation from a Single Static Demonstration ${\pi}_{0.7}$: a Steerable Generalist Robotic Foundation Model with Emergent Capabilities

Reference 22

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source=pdf_text observed=2026-08-06T00:14:29.165821Z digest=sha256:9911cb24811991c65cf08cda4910c57acdef5f60e1b32c51dacaf480d38973f6

Observation 6db9cef4-8e46-45ae-bf86-8f2820da0d8a · outbound

This paper cites Rlbench: The robot learning benchmark & learning environment.IEEE Robotics and Automation Letters, 5(2): 3019–3026, 2020.

DynamicManip: Enabling Dynamic Manipulation from a Single Static Demonstration Rlbench: The robot learning benchmark & learning environment.IEEE Robotics and Automation Letters, 5(2): 3019–3026, 2020

Reference 23

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source=pdf_text observed=2026-08-06T00:14:29.235725Z digest=sha256:65af436fabc9ccb9b267826a51b7760371eba0260c15367e31eef4e9142bf028

Observation a4a156d0-b2e4-4dbd-97a5-8ee3dc8aa818 · outbound

This paper cites DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset.

DynamicManip: Enabling Dynamic Manipulation from a Single Static Demonstration DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset

Reference 24

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source=pdf_text observed=2026-08-06T00:14:29.318577Z digest=sha256:69967051358d418e537a97cf336ccac5125ec41de4640e4f1a1ad8ce2c2ce073

Observation 5e5f23a2-b853-489b-854e-a3192af72508 · outbound

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

DynamicManip: Enabling Dynamic Manipulation from a Single Static Demonstration OpenVLA: An Open-Source Vision-Language-Action Model

Reference 25

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source=pdf_text observed=2026-08-06T00:14:29.392210Z digest=sha256:8cc2897a9fba2bea32f3b4374cee851bbe422c5df60f1ff4d44e82011be22728

Observation e346c918-60dd-43e0-adbb-cdc6bd8d0ab0 · outbound

This paper cites Catching objects in flight.IEEE Transactions on Robotics, 30(5):1049–1065, 2014.

DynamicManip: Enabling Dynamic Manipulation from a Single Static Demonstration Catching objects in flight.IEEE Transactions on Robotics, 30(5):1049–1065, 2014

Reference 26

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source=pdf_text observed=2026-08-06T00:14:29.495606Z digest=sha256:06765104196850165c3d30764476597c0fc6a65453ec12a1cd22f4f30594ed98

Observation 1970f51d-d14a-4d67-9df6-991340a1cfc4 · outbound

This paper cites Train once, deploy anywhere: Realize data-efficient dynamic object manipulation.arXiv preprint arXiv:2508.14042, 2025.

DynamicManip: Enabling Dynamic Manipulation from a Single Static Demonstration Train once, deploy anywhere: Realize data-efficient dynamic object manipulation.arXiv preprint arXiv:2508.14042, 2025

Reference 27

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source=pdf_text observed=2026-08-06T00:14:29.609003Z digest=sha256:ba2529414c632287db74d9ac18748449464db19c49d2a369e2138b8a46adbc3f

Observation 1ac2e095-e00b-4851-a6af-d5988fa88338 · outbound

This paper cites Delay-aware diffusion policy: Bridging the observation-execution gap in dynamic tasks.arXiv preprint arXiv:2512.07697, 2025.

DynamicManip: Enabling Dynamic Manipulation from a Single Static Demonstration Delay-aware diffusion policy: Bridging the observation-execution gap in dynamic tasks.arXiv preprint arXiv:2512.07697, 2025

Reference 28

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source=pdf_text observed=2026-08-06T00:14:29.672469Z digest=sha256:d410e20bfdb365353a361ed5ef642df22a8c89bec2fd702add308e6c7cf04e70

Observation f7f06df4-a702-4464-ae73-25dcf63ffd05 · outbound

This paper cites Data scaling laws in imitation learning for robotic manipulation.

DynamicManip: Enabling Dynamic Manipulation from a Single Static Demonstration Data scaling laws in imitation learning for robotic manipulation

Reference 29

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source=pdf_text observed=2026-08-06T00:14:29.710820Z digest=sha256:e9f0946763c829f7be0e39a527724fdd6501a29388b364de77c64360dc33a0c0

Observation 86f147f9-0e5b-4551-b504-396bbd84fe27 · outbound

This paper cites BiDexGrasp: Coordinated Bimanual Dexterous Grasps across Object Geometries and Sizes.

DynamicManip: Enabling Dynamic Manipulation from a Single Static Demonstration BiDexGrasp: Coordinated Bimanual Dexterous Grasps across Object Geometries and Sizes

Reference 30

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source=pdf_text observed=2026-08-06T00:14:29.776946Z digest=sha256:7c362a96fe0ba489ef0c83aaf22a0201804090436d9c9691a5b88b46d90f4998

Observation 5b1c65a1-087c-458b-93d3-18008c591d62 · outbound

This paper cites TypeTele: Releasing Dexterity in Teleoperation by Dexterous Manipulation Types.

DynamicManip: Enabling Dynamic Manipulation from a Single Static Demonstration TypeTele: Releasing Dexterity in Teleoperation by Dexterous Manipulation Types

Reference 31

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source=pdf_text observed=2026-08-06T00:14:29.825681Z digest=sha256:a31b9df2bab7674f0167f555a3238bfc087de8a8d11a624825fce349eb854d2c

Observation c088c915-80b3-4769-9640-49c050ddc2cd · outbound

This paper cites Libero: Benchmarking knowledge transfer for lifelong robot learning.Advances in Neural Information Processing Systems, 36:44776–44791, 2023.

DynamicManip: Enabling Dynamic Manipulation from a Single Static Demonstration Libero: Benchmarking knowledge transfer for lifelong robot learning.Advances in Neural Information Processing Systems, 36:44776–44791, 2023

Reference 32

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source=pdf_text observed=2026-08-06T00:14:29.909565Z digest=sha256:89f3f00ce5308ef4b57645d48740d6e2902ad1db2de0a74dad6d3cf05593d1a3

Observation e702b4ce-8f26-4577-8b0c-1afaa76b91ed · outbound

This paper cites From reusing to forecasting: Accelerating diffusion models with taylorseers.

DynamicManip: Enabling Dynamic Manipulation from a Single Static Demonstration From reusing to forecasting: Accelerating diffusion models with taylorseers

Reference 33

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source=pdf_text observed=2026-08-06T00:14:30.031870Z digest=sha256:5b47c67569e0c598dff2be5d0ac3bd02dc7567cd20209303835edb30822f0c0a

Observation d7a4bca8-48bd-4154-b973-6d880a257feb · outbound

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

DynamicManip: Enabling Dynamic Manipulation from a Single Static Demonstration RDT-1B: a Diffusion Foundation Model for Bimanual Manipulation

Reference 34

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source=pdf_text observed=2026-08-06T00:14:30.097606Z digest=sha256:1b45548ddee1d7cc8fd7130f5c9b340836a3a79dc26d066fcdaa7d8e5a9038d5

Observation 82ced571-704c-444c-98e6-8152ae26b7b6 · outbound

This paper cites Dywa: Dynamics-adaptive world action model for generalizable non-prehensile manipulation.

DynamicManip: Enabling Dynamic Manipulation from a Single Static Demonstration Dywa: Dynamics-adaptive world action model for generalizable non-prehensile manipulation

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:14:35.564244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T00:14:30.192048Z digest=sha256:15efefd90f82997028babd3ff6611c64d7d4b95c935cfb9cd07069263c9077dc

Observation 8272771e-05aa-46c0-b09e-f1dd03538e7f · outbound

This paper cites LDA-1B: Scaling Latent Dynamics Action Model via Universal Embodied Data Ingestion.

DynamicManip: Enabling Dynamic Manipulation from a Single Static Demonstration LDA-1B: Scaling Latent Dynamics Action Model via Universal Embodied Data Ingestion

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-06T00:14:30.310705Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:14:30.310705Z digest=sha256:4b2d3d7cff7fba816ec02cccd1af5b0e8b898e9c3f594eadbac448bc9b760b10

Observation ab38ab66-eb99-460c-ba75-de2bddf7b0b8 · outbound

This paper cites Running vlas at real-time speed.arXiv preprint arXiv:2510.26742, 2025.

DynamicManip: Enabling Dynamic Manipulation from a Single Static Demonstration Running vlas at real-time speed.arXiv preprint arXiv:2510.26742, 2025

Reference 37

Resolution
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no resolver link, observed 2026-08-06T00:14:30.430261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:14:30.430261Z digest=sha256:0c84f979dec1ea2e3888e604e6aaeeeabf0dda64d62ef4893692ce8f1af43016

Observation 746b9950-5677-4cdb-b9b4-974c89d94b9a · outbound

This paper cites MimicGen: A Data Generation System for Scalable Robot Learning using Human Demonstrations.

DynamicManip: Enabling Dynamic Manipulation from a Single Static Demonstration MimicGen: A Data Generation System for Scalable Robot Learning using Human Demonstrations

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-06T00:14:30.497441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:14:30.497441Z digest=sha256:ee1c2bde11106a6895238dc3659c762f14fd97c33b93b26588dce77782b784b4

Observation bde07a5f-77d5-4536-8b6b-b42cf5495413 · outbound

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

DynamicManip: Enabling Dynamic Manipulation from a Single Static Demonstration Open x- embodiment: Robotic learning datasets and rt-x models: Open x-embodiment collaboration 0

Reference 39

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unresolved
no resolver link, observed 2026-08-06T00:14:30.581794Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:14:30.581794Z digest=sha256:39e1fc628ddb90f98615970dac0f43ce7b2bbdaf972549b6e935e957770642f9

Observation 47351607-832d-43b0-8f1c-7c59b4525286 · outbound

This paper cites Courville.

DynamicManip: Enabling Dynamic Manipulation from a Single Static Demonstration Courville

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:14:35.278848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T00:14:30.681333Z digest=sha256:0821aab315a3304aea9b89221b670120d661985c6f4719fb756da329010f0531

Observation 9e2c18f5-7932-47e4-bfd1-dc9d37393cc0 · outbound

This paper cites Leave no observation behind: Real-time correction for vla action chunks.arXiv preprint arXiv:2509.23224, 2025.

DynamicManip: Enabling Dynamic Manipulation from a Single Static Demonstration Leave no observation behind: Real-time correction for vla action chunks.arXiv preprint arXiv:2509.23224, 2025

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-06T00:14:30.768159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:14:30.768159Z digest=sha256:63426915d35ad38dabe6cb3a52127335d182d0c0026906557f64895e086f4b00

Observation d08997f2-24a7-4dcd-bf00-324dfd1bee25 · outbound

This paper cites Denoising Diffusion Implicit Models.

DynamicManip: Enabling Dynamic Manipulation from a Single Static Demonstration Denoising Diffusion Implicit Models

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-06T00:14:30.862797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:14:30.862797Z digest=sha256:6f965abd0dc02bd5c3ac590c75bb9b1d158a921d1d0f2728948f1588af2cf4da

Observation 1afaf299-9394-4923-b4b4-135d8a0f977e · outbound

This paper cites cuRobo: Parallelized Collision-Free Minimum-Jerk Robot Motion Generation.

DynamicManip: Enabling Dynamic Manipulation from a Single Static Demonstration cuRobo: Parallelized Collision-Free Minimum-Jerk Robot Motion Generation

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-06T00:14:30.990907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:14:30.990907Z digest=sha256:1c93143171c9bcdcf06f888192b437440dda2490da42b8c180cfd3345ec0f0f1

Observation c56e456b-d87b-4c72-8b42-074c3100a20e · outbound

This paper cites VLASH: Real-Time VLAs via Future-State-Aware Asynchronous Inference.

DynamicManip: Enabling Dynamic Manipulation from a Single Static Demonstration VLASH: Real-Time VLAs via Future-State-Aware Asynchronous Inference

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-06T00:14:31.112972Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:14:31.112972Z digest=sha256:bbfe1146745d9255dd72326a6053d95fae2dc238040825fff6889518533075f5

Observation e196e7f6-86fb-4723-918c-b1c9eca1971d · outbound

This paper cites Rdt2: Enabling zero-shot cross-embodiment generalization by scaling up umi data, September 2025.

DynamicManip: Enabling Dynamic Manipulation from a Single Static Demonstration Rdt2: Enabling zero-shot cross-embodiment generalization by scaling up umi data, September 2025

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:14:35.034016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T00:14:31.175335Z digest=sha256:83dca741d1d79983733a204cfa021a77b845db4ee8cf7920ba86087cb8a707f3

Observation f2d254e0-83cd-450f-b7cc-2a684230e5c9 · outbound

This paper cites Grasp as you say: Language-guided dexterous grasp generation.

DynamicManip: Enabling Dynamic Manipulation from a Single Static Demonstration Grasp as you say: Language-guided dexterous grasp generation

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:14:34.748600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T00:14:31.290299Z digest=sha256:96ef6b1e12bdccbf504c7bf3b2ba6579a557b42e257976ba27822d67602f7a5c

Observation e612d3b1-d1e3-42ba-87ab-401758694446 · outbound

This paper cites Cyclemanip: Enabling cyclic task manipulation via effective historical perception and understanding.arXiv preprint arXiv:2512.01022, 2025.

DynamicManip: Enabling Dynamic Manipulation from a Single Static Demonstration Cyclemanip: Enabling cyclic task manipulation via effective historical perception and understanding.arXiv preprint arXiv:2512.01022, 2025

Reference 47

Resolution
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no resolver link, observed 2026-08-06T00:14:31.383852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:14:31.383852Z digest=sha256:74014f090b7ca2f9c3595952df2e90dcfe8953320782ae64de6c7fc078c4d144

Observation 876c7dbf-cdc1-4c20-b3e2-5806c5eb37a3 · outbound

This paper cites Omnidexgrasp: Generalizable dexterous grasping via foundation model and force feedback.

DynamicManip: Enabling Dynamic Manipulation from a Single Static Demonstration Omnidexgrasp: Generalizable dexterous grasping via foundation model and force feedback

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-06T00:14:31.520923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:14:31.520923Z digest=sha256:f78aa582e8c1d1797f852cb4d335accca6bb2c4d1e133ec3b57d31f6f22baa2f

Observation 6cc317a4-dead-4bac-980a-f28abfdf5232 · outbound

This paper cites Sapien: A simulated part-based interactive environ- ment.

DynamicManip: Enabling Dynamic Manipulation from a Single Static Demonstration Sapien: A simulated part-based interactive environ- ment

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-06T00:14:31.592813Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:14:31.592813Z digest=sha256:2431ade97fa6ab858165c2f2ac03b63ae881c40bbe320cbda981ce4fee5a19e1

Observation f0cf3a4c-9a74-4476-b16e-3f86c2218ef9 · outbound

This paper cites Robot learning in the era of foundation models: A survey.Neurocomputing, 638: 129963, 2025.

DynamicManip: Enabling Dynamic Manipulation from a Single Static Demonstration Robot learning in the era of foundation models: A survey.Neurocomputing, 638: 129963, 2025

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:14:34.557337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T00:14:31.684843Z digest=sha256:ad0b2575fd50e540b2601f6788f3c9bcc604e0c451b3f3f08f4e6ab04fe69674

Observation a1da8aff-3dbf-410b-9142-a0a625d255f3 · outbound

This paper cites Dynamicvla: A vision-language-action model for dynamic object manipulation.

DynamicManip: Enabling Dynamic Manipulation from a Single Static Demonstration Dynamicvla: A vision-language-action model for dynamic object manipulation

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-06T00:14:31.749049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:14:31.749049Z digest=sha256:9d05ccefcd3151713dcbbaf8e5e6685a9a1f1f303a9ffb8520e4771deb38678f

Observation 1634343c-72c1-40c0-8d93-dd3f1efd1e6b · outbound

This paper cites DemoGen: Synthetic Demonstration Generation for Data-Efficient Visuomotor Policy Learning.

DynamicManip: Enabling Dynamic Manipulation from a Single Static Demonstration DemoGen: Synthetic Demonstration Generation for Data-Efficient Visuomotor Policy Learning

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-06T00:14:31.847231Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:14:31.847231Z digest=sha256:444089a44f7f96f73ddd45ed7439724980d1ea20a1cbea66f9e4856ade62de61

Observation 1793e8fb-c162-4b7f-b4dd-5439c05d5550 · outbound

This paper cites Novel Demonstration Generation with Gaussian Splatting Enables Robust One-Shot Manipulation.

DynamicManip: Enabling Dynamic Manipulation from a Single Static Demonstration Novel Demonstration Generation with Gaussian Splatting Enables Robust One-Shot Manipulation

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-06T00:14:31.949656Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:14:31.949656Z digest=sha256:fd85bfe1fe91b23c8e40f0cbe5ceefb2eb6b97e9da9608ce6440b34cd07ac4bd

Observation bafc9c09-3a91-4a3f-a6f4-308d2ab9f8d0 · outbound

This paper cites World Action Models are Zero-shot Policies.

DynamicManip: Enabling Dynamic Manipulation from a Single Static Demonstration World Action Models are Zero-shot Policies

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-06T00:14:32.037152Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:14:32.037152Z digest=sha256:f58c4f9d02c3dd00c303033fa406eda1d2d4b714dea1155f3ed72d7f305aedb5

Observation 703fee8a-1c3c-4726-9fda-06e265b5262e · outbound

This paper cites Real2Render2Real: Scaling Robot Data Without Dynamics Simulation or Robot Hardware.

DynamicManip: Enabling Dynamic Manipulation from a Single Static Demonstration Real2Render2Real: Scaling Robot Data Without Dynamics Simulation or Robot Hardware

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-06T00:14:32.113161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:14:32.113161Z digest=sha256:21790687f4703224f2f89b5cf088cc01f4119e65512268a37ed3162ee53abdca

Observation ee05acf6-c075-4029-96bc-19b60f55dd13 · outbound

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

DynamicManip: Enabling Dynamic Manipulation from a Single Static Demonstration 3D Diffusion Policy: Generalizable Visuomotor Policy Learning via Simple 3D Representations

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-06T00:14:32.182137Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:14:32.182137Z digest=sha256:69408b2f0b323ba8e602b1b202d3060d051034c317d4f1772cf489b831bac177

Observation 0bd22f48-cc08-4be0-b6f4-c62a994354ed · outbound

This paper cites Dynamic behavior cloning with temporal feature prediction: Enhancing robotic arm manipulation in moving object tasks.IEEE Robotics and Automation Letters, 2025.

DynamicManip: Enabling Dynamic Manipulation from a Single Static Demonstration Dynamic behavior cloning with temporal feature prediction: Enhancing robotic arm manipulation in moving object tasks.IEEE Robotics and Automation Letters, 2025

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:14:34.368563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T00:14:32.262540Z digest=sha256:431a931591f80befa2e44b5996004fe79d72ffca1f4f59810ba8edef0223d506

Observation a8ba91b0-9240-4dcd-bbb3-b28af40cc9f5 · outbound

This paper cites Catch it! learning to catch in flight with mobile dexterous hands.

DynamicManip: Enabling Dynamic Manipulation from a Single Static Demonstration Catch it! learning to catch in flight with mobile dexterous hands

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-06T00:14:32.325245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:14:32.325245Z digest=sha256:80b8b4d045cb76d3c86bd0e1c61290558715036310fc1bcd99b3f429ec6316f5

Observation a90b3bcd-bfdf-4b14-9e07-68db6782a913 · outbound

This paper cites Hail: Human-in-the-loop assembly imitation learning system.Journal of Manufacturing Systems, 86:991–1006, 2026.

DynamicManip: Enabling Dynamic Manipulation from a Single Static Demonstration Hail: Human-in-the-loop assembly imitation learning system.Journal of Manufacturing Systems, 86:991–1006, 2026

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:14:34.260679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T00:14:32.437515Z digest=sha256:df0e990aaa30e4638e6daa0c96d19434adc46fe7343bf16e7384181f97c973e9

Observation a445513b-6861-45b8-a88f-325758f128b7 · outbound

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

DynamicManip: Enabling Dynamic Manipulation from a Single Static Demonstration Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-06T00:14:32.531510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:14:32.531510Z digest=sha256:68f7c0cad9c0d866babf69b203c629bc090064a6f0f12fabd6d7e21ce63d67be

Observation db78f876-b849-4b1d-b0b9-d7b7605d96c9 · outbound

This paper cites Unified World Models: Coupling Video and Action Diffusion for Pretraining on Large Robotic Datasets.

DynamicManip: Enabling Dynamic Manipulation from a Single Static Demonstration Unified World Models: Coupling Video and Action Diffusion for Pretraining on Large Robotic Datasets

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-06T00:14:32.590884Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:14:32.590884Z digest=sha256:eda6bdbf7d73080ffd7119947fdbadf25d516016a1cef725f4f408985a01758c

Observation 09ad0fb8-22c6-4e22-a594-7044268039a7 · outbound

This paper cites Rt-2: Vision-language-action models transfer web knowledge to robotic control.

DynamicManip: Enabling Dynamic Manipulation from a Single Static Demonstration Rt-2: Vision-language-action models transfer web knowledge to robotic control

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:14:34.100795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T00:14:32.690070Z digest=sha256:5df10920654669d8c54660a9e11076598f453a6d48bb1c9f3a3558f9fd685d01

Pith citing papers

No inbound Pith citation observations are available.