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Paper Citation Record · LEDGER

Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges

As of 12 August 2026, this Paper Citation Record lists 100 of 153 outbound references and 7 inbound Pith citation observations for arXiv:2508.17449.

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

pith.paper-citation-record.v1
2508.17449 v2

Coverage vector

measured 100 of 153 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T16:55:52.265052Z

measured 107 of 107 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T22:51:57.217548Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-09T20:46:33.635839Z

Reference resolution

100 of 153 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved99
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b339ca23-7b37-406b-8cde-4d722521a08a · outbound

This paper cites Loeb Classical Library.

Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges Loeb Classical Library

Reference 1

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Observation be728884-9e73-4fcb-baf8-9b0dcb4a23e3 · outbound

This paper cites Diels and W.

Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges Diels and W

Reference 2

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Observation 2d05b3d2-ff63-4bb5-a5bd-a3221862e849 · outbound

This paper cites A review of robot learn- ing for manipulation: Challenges, representations, and algorithms,.

Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges A review of robot learn- ing for manipulation: Challenges, representations, and algorithms,

Reference 3

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Observation 9fa2c01a-fba3-4885-a901-ee6277874878 · outbound

This paper cites Deep reinforcement learning for the control of robotic manipulation: a focussed mini-review,.

Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges Deep reinforcement learning for the control of robotic manipulation: a focussed mini-review,

Reference 4

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source=pdf_text observed=2026-08-05T16:55:51.976168Z digest=sha256:831378910499c55af60c3fb92a8d4418d68c3e04f49f2ddf4a9b25ec5a4fcde8

Observation e7fd3eeb-febe-4525-a5e0-d0696fd00968 · outbound

This paper cites Rob. auton. syst.

Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges Rob. auton. syst

Reference 5

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source=pdf_text observed=2026-08-05T16:55:51.979402Z digest=sha256:ec727adc39233fd8b52f89e1da92b22476f16858fd66c9f284da80fb2f31c6d0

Observation 91822ecc-cbe0-4872-a4b2-d1a2aadb0103 · outbound

This paper cites A survey on deep reinforcement learning algorithms for robotic manipulation,.

Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges A survey on deep reinforcement learning algorithms for robotic manipulation,

Reference 6

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Observation 38945f7d-370b-474e-a5d3-bd7c1855d016 · outbound

This paper cites Deep learning approaches to grasp synthesis: A review,.

Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges Deep learning approaches to grasp synthesis: A review,

Reference 7

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Observation 0d72c5bd-fd99-450b-a9fb-2a68b1e37516 · outbound

This paper cites A Survey of Embodied Learning for Object-Centric Robotic Manipulation.

Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges A Survey of Embodied Learning for Object-Centric Robotic Manipulation

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-05T16:55:51.989772Z digest=sha256:dbddc15ff70e0fc34daba8b6a1dbbcbe2cd139b0abb67a2dbdeac885c93f077a

Observation 0462a797-9112-4e88-bdf3-ba6ce8000ced · outbound

This paper cites A review of embodied grasping,.

Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges A review of embodied grasping,

Reference 9

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source=pdf_text observed=2026-08-05T16:55:51.993241Z digest=sha256:84d47711056c7c179cbcb701db16f8588a106d86d40b34c7cec462fbb0f98371

Observation 2f4b654b-8a8f-4dfc-9dea-1676368e838f · outbound

This paper cites Vision- language-action models: Concepts, progress, applications and chal- lenges,.

Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges Vision- language-action models: Concepts, progress, applications and chal- lenges,

Reference 10

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source=pdf_text observed=2026-08-05T16:55:51.996569Z digest=sha256:220e619aa39bd8e2f3670aedc1f522e97e438390099c5df520bbd4b9d5f0e450

Observation d1ea8691-7494-4c1e-9de6-8f0950c22e45 · outbound

This paper cites A Survey on Vision-Language-Action Models for Embodied AI.

Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges A Survey on Vision-Language-Action Models for Embodied AI

Reference 11

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Observation 55185485-8ff1-4f42-9203-4dd3343035d1 · outbound

This paper cites A Survey on Vision-Language-Action Models: An Action Tokenization Perspective.

Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges A Survey on Vision-Language-Action Models: An Action Tokenization Perspective

Reference 12

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source=pdf_text observed=2026-08-05T16:55:52.003151Z digest=sha256:751aa3b4a2d854a7f61b0c24a51386338ead962096f50a8c98452c9992e5a0c6

Observation 97920d05-cf14-49c7-b878-b625a5827983 · outbound

This paper cites Vision language action models in robotic manipulation: A systematic review,.

Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges Vision language action models in robotic manipulation: A systematic review,

Reference 13

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source=pdf_text observed=2026-08-05T16:55:52.006911Z digest=sha256:85a9966d5bce0421f829013980d669baea5c083f4bec6f66682da4c53612fd47

Observation 39fee9e2-59d8-4708-b9a2-3fd4c2285b8b · outbound

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

Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges RT-1: Robotics Transformer for Real-World Control at Scale

Reference 14

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source=pdf_text observed=2026-08-05T16:55:52.009894Z digest=sha256:94ef4d534d23ce5c80c063478674a083c4ea75d028ea6df2230e188d58a6ed53

Observation 0ccd2f15-2fa3-41ab-a934-44dc96ee92bd · outbound

This paper cites Denoising diffusion probabilistic models,.

Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges Denoising diffusion probabilistic models,

Reference 15

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Observation 67618fb1-c4b3-401f-9d26-cb5062fe1123 · outbound

This paper cites Denoising diffusion implicit mod- els,.

Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges Denoising diffusion implicit mod- els,

Reference 16

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Observation 9a42106e-27d3-4931-a6d1-f2d7ac25af7e · outbound

This paper cites Score-based generative modeling through stochastic differential equations,.

Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges Score-based generative modeling through stochastic differential equations,

Reference 17

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Observation d30999c9-b497-4388-b16f-cb0ee5d61248 · outbound

This paper cites Dpm-ot: A new diffusion probabilistic model based on optimal transport,.

Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges Dpm-ot: A new diffusion probabilistic model based on optimal transport,

Reference 18

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Observation a2de3126-1efa-460e-9067-2ae72857956b · outbound

This paper cites Flow matching for generative modeling,.

Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges Flow matching for generative modeling,

Reference 19

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Observation 2474d847-1390-4506-bc6f-1718613340cf · outbound

This paper cites Vector autoregressive models,.

Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges Vector autoregressive models,

Reference 20

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source=pdf_text observed=2026-08-05T16:55:52.029200Z digest=sha256:6b2a966fe140bd7b8e58b21230f76e9bad0229815233e3370e4c6d2f2d809207

Observation fb54721c-3856-42b8-aa2b-353168b300ec · outbound

This paper cites Transformation autoregressive networks,.

Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges Transformation autoregressive networks,

Reference 21

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Observation af0cabf4-1573-478f-b8b4-b5cb6a0552fc · outbound

This paper cites Diffusion policy: Visuomotor policy learning via ac- tion diffusion,.

Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges Diffusion policy: Visuomotor policy learning via ac- tion diffusion,

Reference 22

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Observation d4b91f86-79c5-4b2b-bc1f-21f151c4a78c · outbound

This paper cites Zero-shot robotic manipulation with pre-trained image- editing diffusion models,.

Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges Zero-shot robotic manipulation with pre-trained image- editing diffusion models,

Reference 23

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Observation 310adf43-e652-468c-8172-7f977aa0af0c · outbound

This paper cites Chaineddiffuser: Unifying trajectory diffusion and keypose prediction for robotic manipulation,.

Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges Chaineddiffuser: Unifying trajectory diffusion and keypose prediction for robotic manipulation,

Reference 24

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source=pdf_text observed=2026-08-05T16:55:52.042287Z digest=sha256:603a4adceba9d0b38b1cbefa8d12de70fbdf912c27822989a440f7a0a9966763

Observation b812a0f3-d01b-40d0-aa81-cb4d8c5b1acf · outbound

This paper cites Learning an actionable discrete diffusion policy via large-scale actionless video pre- training,.

Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges Learning an actionable discrete diffusion policy via large-scale actionless video pre- training,

Reference 25

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Observation 920dad2a-5dae-4dc7-9ae9-8c54cc4f1a89 · outbound

This paper cites 3d diffusion policy: Generalizable visuomotor policy learning via simple 3d representations,.

Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges 3d diffusion policy: Generalizable visuomotor policy learning via simple 3d representations,

Reference 26

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Observation 2988b4cb-c3a2-46e8-a699-e8e910df55f1 · outbound

This paper cites 3d diffuser actor: Policy diffusion with 3d scene representations,.

Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges 3d diffuser actor: Policy diffusion with 3d scene representations,

Reference 27

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Observation d49ce526-23fa-4ba1-89e8-d2682c44341d · outbound

This paper cites Equivariant diffusion policy,.

Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges Equivariant diffusion policy,

Reference 28

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source=pdf_text observed=2026-08-05T16:55:52.053204Z digest=sha256:18c09c8cc56d780d601ecdc2f529eb93532db372f3de332317cb2fd6b7db77ae

Observation f93578f5-19fe-423b-a2a7-00584c378f2d · outbound

This paper cites Equibot: Sim (3)-equivariant diffusion policy for generalizable and data efficient learning,.

Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges Equibot: Sim (3)-equivariant diffusion policy for generalizable and data efficient learning,

Reference 29

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source=pdf_text observed=2026-08-05T16:55:52.055860Z digest=sha256:ee51fb6e72404adc9de8bef10a2cabbae580176c176c134bb347049c6d5e69fc

Observation 76e7b3a8-92e5-4153-b977-6f651ae96d02 · outbound

This paper cites Multimodal Diffusion Transformer: Learning Versatile Behavior from Multimodal Goals.

Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges Multimodal Diffusion Transformer: Learning Versatile Behavior from Multimodal Goals

Reference 30

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source=pdf_text observed=2026-08-05T16:55:52.058916Z digest=sha256:ff3d1fe992a328b44e60610abebc022f6acaa6be1babe5de3d0d8305e34405ec

Observation d7f64dab-049a-4e99-931b-c563095744ab · outbound

This paper cites Sparse diffusion policy: A sparse, reusable, and flexible policy for robot learning,.

Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges Sparse diffusion policy: A sparse, reusable, and flexible policy for robot learning,

Reference 31

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source=pdf_text observed=2026-08-05T16:55:52.062358Z digest=sha256:e43e3aa05785d76bcfc2c3c42c4fea3aa118895d13b1639af829c597325a160f

Observation 772bd655-45e6-4ffc-8780-ce144a2da42f · outbound

This paper cites Skill expansion and composition in parameter space,.

Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges Skill expansion and composition in parameter space,

Reference 32

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source=pdf_text observed=2026-08-05T16:55:52.065101Z digest=sha256:c469b0a25871fcc294ad588cde1d4be25655603c450ca90dd5ac2516edea2820

Observation ffe6f1b4-178c-429b-9067-9462af642d4b · outbound

This paper cites Adamanip: Adaptive articulated object manipulation environments and policy learning,.

Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges Adamanip: Adaptive articulated object manipulation environments and policy learning,

Reference 33

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source=pdf_text observed=2026-08-05T16:55:52.068396Z digest=sha256:749ce19a426c2e638db5ed0ded2e07e5db052a1afe7fca82445de75667a21238

Observation da0fd148-c2bd-4faf-bb72-30e053aa2dd0 · outbound

This paper cites Afforddp: Generalizable diffusion policy with transferable affordance,.

Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges Afforddp: Generalizable diffusion policy with transferable affordance,

Reference 34

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source=pdf_text observed=2026-08-05T16:55:52.071283Z digest=sha256:5e1001d6c0b84ebec0eade0a7b747d25e182141b4e58d4861b7708314240c4a5

Observation 1292afb0-0217-4ff3-b682-b3d8a6afde29 · outbound

This paper cites Spatial-temporal graph diffusion policy with kinematic modeling for bimanual robotic manipulation,.

Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges Spatial-temporal graph diffusion policy with kinematic modeling for bimanual robotic manipulation,

Reference 35

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source=pdf_text observed=2026-08-05T16:55:52.074022Z digest=sha256:d942da028f01ca68035d3ee5adfd046b12c3a782086148a4a5d782348d91514c

Observation c1b64f35-b5a5-4618-95d0-56043c90fe9a · outbound

This paper cites Behavior robot suite: Streamlining real-world whole-body manipulation for everyday household activities,.

Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges Behavior robot suite: Streamlining real-world whole-body manipulation for everyday household activities,

Reference 36

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source=pdf_text observed=2026-08-05T16:55:52.076671Z digest=sha256:726b21a7320f2f2a2cd72db349571e0dac55ca568c9fc95fbace6a26b12fda49

Observation abc3996f-bfe7-463a-9d58-5c2359835d3e · outbound

This paper cites Fast Flow-based Visuomotor Policies via Conditional Optimal Transport Couplings.

Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges Fast Flow-based Visuomotor Policies via Conditional Optimal Transport Couplings

Reference 37

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Observation b6144c9a-4df9-4bdb-879a-b2e15880f699 · outbound

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

Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges Octo: An Open-Source Generalist Robot Policy

Reference 38

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Observation 91f54363-3107-412c-bd71-703477719c40 · outbound

This paper cites Diffusion-VLA: Generalizable and Interpretable Robot Foundation Model via Self-Generated Reasoning.

Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges Diffusion-VLA: Generalizable and Interpretable Robot Foundation Model via Self-Generated Reasoning

Reference 39

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Observation 15455438-8611-4a45-84ba-7a49ca7e39bf · outbound

This paper cites CogACT: A Foundational Vision-Language-Action Model for Synergizing Cognition and Action in Robotic Manipulation.

Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges CogACT: A Foundational Vision-Language-Action Model for Synergizing Cognition and Action in Robotic Manipulation

Reference 40

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Observation 9a1b0fe7-1d5d-4f37-8fab-cf43743bbc1a · outbound

This paper cites ChatVLA: Unified Multimodal Understanding and Robot Control with Vision-Language-Action Model.

Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges ChatVLA: Unified Multimodal Understanding and Robot Control with Vision-Language-Action Model

Reference 41

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Observation bd2a1399-f367-4161-9cb4-32a2411bfdfd · outbound

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

Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges RDT-1B: a Diffusion Foundation Model for Bimanual Manipulation

Reference 42

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Observation 9f059d89-63c1-414c-b968-b2b1188fd4b8 · outbound

This paper cites AgiBot World Colosseo: A Large-scale Manipulation Platform for Scalable and Intelligent Embodied Systems.

Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges AgiBot World Colosseo: A Large-scale Manipulation Platform for Scalable and Intelligent Embodied Systems

Reference 43

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Observation 6c843a89-c11c-4761-a0a2-7657f81e66d1 · outbound

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

Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges GR00T N1: An Open Foundation Model for Generalist Humanoid Robots

Reference 44

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Observation 7d704153-2a59-4eb8-979f-625153e455f6 · outbound

This paper cites DreamGen: Unlocking Generalization in Robot Learning through Video World Models.

Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges DreamGen: Unlocking Generalization in Robot Learning through Video World Models

Reference 45

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source=pdf_text observed=2026-08-05T16:55:52.104049Z digest=sha256:8f5e92a088074ec09a115548acff8d8915fcd6bc53d5c936445c5eccbbaa15e7

Observation dec7ff35-c95e-492c-98be-813b49b5afbc · outbound

This paper cites HybridVLA: Collaborative Diffusion and Autoregression in a Unified Vision-Language-Action Model.

Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges HybridVLA: Collaborative Diffusion and Autoregression in a Unified Vision-Language-Action Model

Reference 46

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Observation 1ce339bf-6b86-469c-9f8b-aede24eadce1 · outbound

This paper cites Affordance-based robot manipulation with flow matching,.

Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges Affordance-based robot manipulation with flow matching,

Reference 47

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source=pdf_text observed=2026-08-05T16:55:52.111197Z digest=sha256:bb81fd696410361dd222b4f3a3ed336ae12df946d293d805ed3864c0db05c942

Observation 09eb374d-7a57-4441-89bd-04a1395decf7 · outbound

This paper cites Reactive diffusion policy: Slow-fast visual-tactile policy learning for contact-rich manipulation,.

Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges Reactive diffusion policy: Slow-fast visual-tactile policy learning for contact-rich manipulation,

Reference 48

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Observation b2355856-29a0-4673-90af-b056a7d6c145 · outbound

This paper cites Actionflow: Efficient, accurate, and fast policies with spatially symmetric flow matching,.

Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges Actionflow: Efficient, accurate, and fast policies with spatially symmetric flow matching,

Reference 49

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Observation 6b9ab49d-43d9-409d-b057-bbffb4c6db71 · outbound

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

Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control

Reference 50

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Observation adc5e7e3-ad22-4236-9055-f868a42cc6b7 · outbound

This paper cites GraspVLA: a Grasping Foundation Model Pre-trained on Billion-scale Synthetic Action Data.

Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges GraspVLA: a Grasping Foundation Model Pre-trained on Billion-scale Synthetic Action Data

Reference 51

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Observation b65a24f0-cafa-4ccb-a942-93d8d69415ba · outbound

This paper cites Hi Robot: Open-Ended Instruction Following with Hierarchical Vision-Language-Action Models.

Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges Hi Robot: Open-Ended Instruction Following with Hierarchical Vision-Language-Action Models

Reference 52

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Observation 96b3b568-5762-49cc-876a-be52a19a8cf3 · outbound

This paper cites SmolVLA: A Vision-Language-Action Model for Affordable and Efficient Robotics.

Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges SmolVLA: A Vision-Language-Action Model for Affordable and Efficient Robotics

Reference 53

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Observation f054cdc0-d764-44db-a4dc-c2b754d0ca82 · outbound

This paper cites Masked Visual Pre-training for Motor Control.

Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges Masked Visual Pre-training for Motor Control

Reference 54

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Observation cfb38acc-36e4-45f3-93ac-b0ba5ed60207 · outbound

This paper cites Unleashing large-scale video generative pre-training for visual robot manipulation,.

Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges Unleashing large-scale video generative pre-training for visual robot manipulation,

Reference 55

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Observation b5fd9da0-c131-4d71-a7e5-6fb07c3c63ca · outbound

This paper cites RoboUniView: Visual-Language Model with Unified View Representation for Robotic Manipulation.

Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges RoboUniView: Visual-Language Model with Unified View Representation for Robotic Manipulation

Reference 56

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Observation c1c3e14f-2534-42e3-8858-4f7a71b5737d · outbound

This paper cites Lift3d foundation policy: Lifting 2d large-scale pretrained models for robust 3d robotic manipulation,.

Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges Lift3d foundation policy: Lifting 2d large-scale pretrained models for robust 3d robotic manipulation,

Reference 57

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source=pdf_text observed=2026-08-05T16:55:52.141843Z digest=sha256:76b00beefba6a572989c8b4103e174b33298800798e1f35656ea92a408bf753c

Observation 59ce92c0-ee5e-4ec7-b878-75ce382f8a95 · outbound

This paper cites SAM2Act: Integrating Visual Foundation Model with A Memory Architecture for Robotic Manipulation.

Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges SAM2Act: Integrating Visual Foundation Model with A Memory Architecture for Robotic Manipulation

Reference 58

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Observation a3f3db27-5c32-426c-ac12-ed70671888d3 · outbound

This paper cites Fine-Tuning Vision-Language-Action Models: Optimizing Speed and Success.

Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges Fine-Tuning Vision-Language-Action Models: Optimizing Speed and Success

Reference 59

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Observation 1051c5a1-b443-43cb-9660-66f205cc173d · outbound

This paper cites A Generalist Agent.

Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges A Generalist Agent

Reference 60

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Observation a333e620-536d-4034-899c-27071f1c243b · outbound

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

Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges Vima: General robot manipulation with multimodal prompts,

Reference 61

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source=pdf_text observed=2026-08-05T16:55:52.153531Z digest=sha256:78583b152fc1de96a18612d8e9ef9b55d68a6a8f92d98b48f3838b993c404908

Observation 0a167620-6ee2-4141-b630-4acf880e4ab3 · outbound

This paper cites Palm-e: An embodied multimodal language model,.

Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges Palm-e: An embodied multimodal language model,

Reference 62

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Observation f9a30b39-fa5f-40b5-9ead-3cfd9430b6b3 · outbound

This paper cites Learning fine-grained bimanual manipulation with low-cost hardware,.

Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges Learning fine-grained bimanual manipulation with low-cost hardware,

Reference 63

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Observation 1eccf5f2-e538-4e04-a5bd-f42578db2eb4 · outbound

This paper cites Vision-language foundation models as effective robot imitators,.

Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges Vision-language foundation models as effective robot imitators,

Reference 64

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Observation afdef243-72a7-4021-82be-c622142b1891 · outbound

This paper cites 3d-vla: A 3d vision-language-action generative world model,.

Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges 3d-vla: A 3d vision-language-action generative world model,

Reference 65

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Observation 9895d477-aa8a-4bf8-a01b-99b9fae48977 · outbound

This paper cites Behavior generation with latent actions,.

Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges Behavior generation with latent actions,

Reference 66

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source=pdf_text observed=2026-08-05T16:55:52.168258Z digest=sha256:0153a20dcc77352546e24c2db8ae33e055dda8accd5e5bbe03af013c28311024

Observation ccaf2615-070b-4571-acfe-f49ec802c828 · outbound

This paper cites Openvla: An open-source vision-language-action model,.

Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges Openvla: An open-source vision-language-action model,

Reference 67

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Observation 91f591c3-0e22-4549-a9dc-0eb93cfb80c0 · outbound

This paper cites Quest: Self- supervised skill abstractions for learning continuous control,.

Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges Quest: Self- supervised skill abstractions for learning continuous control,

Reference 68

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source=pdf_text observed=2026-08-05T16:55:52.173876Z digest=sha256:cd3a83452924b5cc265eaaeeaae8a3d0a621eadabf9d589177b560c114d967d0

Observation bebd569d-e46b-4e4c-af20-93de3689e715 · outbound

This paper cites Au- toregressive action sequence learning for robotic manipulation,.

Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges Au- toregressive action sequence learning for robotic manipulation,

Reference 69

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source=pdf_text observed=2026-08-05T16:55:52.176609Z digest=sha256:ab47bfb681168f8fd23125674dc523245592d232bd97eda851697f7113bbd657

Observation 9ab494ec-5051-41ee-8bf8-e93bc122867c · outbound

This paper cites CARP: Visuomotor Policy Learning via Coarse-to-Fine Autoregressive Prediction.

Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges CARP: Visuomotor Policy Learning via Coarse-to-Fine Autoregressive Prediction

Reference 70

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source=pdf_text observed=2026-08-05T16:55:52.179410Z digest=sha256:865fc16085c60f9d11c0f15bd976815232d287e5d80d16e71cf7e2a7fa65aa4b

Observation 23d425b4-18b6-4e9f-ae67-b23e3ec5efe6 · outbound

This paper cites TraceVLA: Visual Trace Prompting Enhances Spatial-Temporal Awareness for Generalist Robotic Policies.

Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges TraceVLA: Visual Trace Prompting Enhances Spatial-Temporal Awareness for Generalist Robotic Policies

Reference 71

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source=pdf_text observed=2026-08-05T16:55:52.183196Z digest=sha256:e8e6b2b0b85cb264b69df7f0fbdc09ac37d899b8d31e61da06a51942597b08c6

Observation 941c0693-7845-4c8e-900e-1492f4a0ccc8 · outbound

This paper cites What Matters in Building Vision-Language-Action Models for Generalist Robots.

Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges What Matters in Building Vision-Language-Action Models for Generalist Robots

Reference 72

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Observation 4e33c551-7fab-42c5-bc95-867a4a125250 · outbound

This paper cites FAST: Efficient Action Tokenization for Vision-Language-Action Models.

Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges FAST: Efficient Action Tokenization for Vision-Language-Action Models

Reference 73

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Observation 731ac391-91e8-4962-8720-635ec658be7e · outbound

This paper cites SpatialVLA: Exploring Spatial Representations for Visual-Language-Action Model.

Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges SpatialVLA: Exploring Spatial Representations for Visual-Language-Action Model

Reference 74

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Observation 473488c2-a8d9-4d6f-bfd8-b2b7ebd3e6df · outbound

This paper cites Vla-cache: Towards efficient vision-language-action model via adaptive token caching in robotic manipulation,.

Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges Vla-cache: Towards efficient vision-language-action model via adaptive token caching in robotic manipulation,

Reference 75

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source=pdf_text observed=2026-08-05T16:55:52.194916Z digest=sha256:ead5397fac2957b6ce23106675fda7b6d0d9484545ee3962ae311a07d6487d7c

Observation 8521a728-ac2d-4c3a-a5e1-3ac498d1cef2 · outbound

This paper cites HAMSTER: Hierarchical Action Models For Open-World Robot Manipulation.

Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges HAMSTER: Hierarchical Action Models For Open-World Robot Manipulation

Reference 76

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source=pdf_text observed=2026-08-05T16:55:52.197675Z digest=sha256:d8a4b4b97f8483d0f5a7923d3678275437289ca0c6e80ef33d2a778b1189b0ce

Observation d53396d7-983f-4352-8ccb-4f3f026d6916 · outbound

This paper cites Magma: A foundation model for multimodal ai agents,.

Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges Magma: A foundation model for multimodal ai agents,

Reference 77

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source=pdf_text observed=2026-08-05T16:55:52.200941Z digest=sha256:ed42431b3f4f276d0549fc03f936725871e77b61185879105b6bb42f0315fb67

Observation 6ba06790-709a-4f46-9cd3-b6c7e9ded505 · outbound

This paper cites Cot-vla: Visual chain-of-thought reasoning for vision-language-action models,.

Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges Cot-vla: Visual chain-of-thought reasoning for vision-language-action models,

Reference 78

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source=pdf_text observed=2026-08-05T16:55:52.203652Z digest=sha256:35b166bbbf0fbdf45895edb55b7d72ed9ebd3c3247188dd2f358191586d7978c

Observation 9598972c-ae02-4222-8780-1f80f0ba7d3c · outbound

This paper cites UniVLA: Learning to Act Anywhere with Task-centric Latent Actions.

Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges UniVLA: Learning to Act Anywhere with Task-centric Latent Actions

Reference 79

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source=pdf_text observed=2026-08-05T16:55:52.206366Z digest=sha256:cc86635e4ecbd4c2efe1ecf4c8d1ed439c20d3fd8d8bbfdd008f1385bd217a6a

Observation 54d06d28-eac3-4787-869c-89ada0f0739b · outbound

This paper cites Latent action pretraining from videos,.

Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges Latent action pretraining from videos,

Reference 80

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source=pdf_text observed=2026-08-05T16:55:52.209193Z digest=sha256:a9e3fc74dbf2f2fb02f58da8d6d0f169c1ad0a12640659562359ebe1c8143f2a

Observation 27a86d5b-8c3a-422a-9ae4-48d4005ffa7d · outbound

This paper cites Robotic control via embodied chain-of-thought reasoning,.

Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges Robotic control via embodied chain-of-thought reasoning,

Reference 81

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source=pdf_text observed=2026-08-05T16:55:52.211733Z digest=sha256:00caa035a23b583b80e91b8cb455abe21da45c6c3e83ecdfad398e54e2130539

Observation 292cac8f-607e-48d9-bc07-d6abb04502a7 · outbound

This paper cites WorldVLA: Towards Autoregressive Action World Model.

Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges WorldVLA: Towards Autoregressive Action World Model

Reference 82

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source=pdf_text observed=2026-08-05T16:55:52.214289Z digest=sha256:61fd5521499e2a055941b686818f58dca4d6ffb2fcfae252841a1b6e2ea4212d

Observation 0c079c4f-238f-4179-918a-7ced2a660429 · outbound

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

Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges Lotus: Continual imitation learning for robot manipulation through unsupervised skill discovery,

Reference 83

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source=pdf_text observed=2026-08-05T16:55:52.217071Z digest=sha256:389756fafa6d159d405c3672efa4f73b47a9837b8fb529b9ec726a4dad92fec5

Observation 7529230a-2ace-4393-a316-566239a4a6e4 · outbound

This paper cites What matters in language conditioned robotic imitation learning over unstructured data,.

Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges What matters in language conditioned robotic imitation learning over unstructured data,

Reference 84

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source=pdf_text observed=2026-08-05T16:55:52.219691Z digest=sha256:698935c826b0e67de8f2c323b49adf1e732be34aa2d4091c97f4133c8ed0ce9b

Observation 6cce1370-d91a-46c4-9d30-54516a4cc2ed · outbound

This paper cites Bridgevla: Input-output alignment for efficient 3d manipulation learning with vision-language models,.

Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges Bridgevla: Input-output alignment for efficient 3d manipulation learning with vision-language models,

Reference 85

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source=pdf_text observed=2026-08-05T16:55:52.222316Z digest=sha256:941a5b46f7fc0e36b2427346eccacdd8bf68124d945f34eeebe613c9033a6395

Observation f2843c86-4c44-42bd-8813-46c16ddaa01b · outbound

This paper cites Se (3)-diffusionfields: Learning smooth cost functions for joint grasp and motion optimization through diffusion,.

Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges Se (3)-diffusionfields: Learning smooth cost functions for joint grasp and motion optimization through diffusion,

Reference 86

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source=pdf_text observed=2026-08-05T16:55:52.224940Z digest=sha256:43d287adcd4cb4e2e5da67e5b0226c499a9aa64f6aa0a0e871e5003398cd32da

Observation 65a09a2f-2c95-42c3-aae1-de70d3da0232 · outbound

This paper cites A0: An affordance-aware hierarchical model for general robotic manipulation,.

Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges A0: An affordance-aware hierarchical model for general robotic manipulation,

Reference 87

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source=pdf_text observed=2026-08-05T16:55:52.228157Z digest=sha256:51d0bfc8a2498b14239a69cad33e80704aeeb1453b3ed9e776ee1966d392a062

Observation e2d4287f-b7f4-4e2a-9287-8d05c29d81b9 · outbound

This paper cites Flow matching imitation learning for multi-support manipulation,.

Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges Flow matching imitation learning for multi-support manipulation,

Reference 88

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source=pdf_text observed=2026-08-05T16:55:52.230688Z digest=sha256:d4cb72808fe1a844903b60ddbf4687e002ca50818a3c2b724aab7bd6b9d237a1

Observation c2a15b88-fc0d-439a-a210-719a626815c5 · outbound

This paper cites Polarnet: 3d point clouds for language-guided robotic manipulation,.

Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges Polarnet: 3d point clouds for language-guided robotic manipulation,

Reference 89

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source=pdf_text observed=2026-08-05T16:55:52.233342Z digest=sha256:f7c014436368539d89ec69ed363e1369a9cd4ee42c7f64379505092fc407a3a3

Observation 117abcf5-ece3-45ef-8faf-2d8691aa095d · outbound

This paper cites Instruction-driven history-aware policies for robotic ma- nipulations,.

Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges Instruction-driven history-aware policies for robotic ma- nipulations,

Reference 90

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source=pdf_text observed=2026-08-05T16:55:52.235989Z digest=sha256:0c8d0ae2109602229f6a5bf94fe743c3b5147577707373ff9cedad060006a1c1

Observation adc15eb7-b8d8-4bd8-ab0d-9551ef82ce93 · outbound

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

Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges Perceiver-actor: A multi-task transformer for robotic manipulation,

Reference 91

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source=pdf_text observed=2026-08-05T16:55:52.238931Z digest=sha256:c8162fa477acf5ad0d328d0d369c882435e82b6be90dbec1db605622ec3f8521

Observation cc18e18a-a758-498c-8252-615655ca601a · outbound

This paper cites Rvt: Robotic view transformer for 3d object manipulation,.

Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges Rvt: Robotic view transformer for 3d object manipulation,

Reference 92

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source=pdf_text observed=2026-08-05T16:55:52.241586Z digest=sha256:70bad52f6b3aad3415a63de64c10ee18577a3bf5aed4b4d448d7210e10859c65

Observation f34fc0d0-1d0d-414f-94a9-5facfb834365 · outbound

This paper cites Act3d: 3d feature field transformers for multi-task robotic manipulation,.

Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges Act3d: 3d feature field transformers for multi-task robotic manipulation,

Reference 93

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source=pdf_text observed=2026-08-05T16:55:52.244548Z digest=sha256:de63bb00513165acc0d33c8171a73145c9f13842b44c6c88c5a48b2e263ffb9f

Observation bf6652b6-009b-48a1-b277-5bc9c583ddc2 · outbound

This paper cites Sam- e: Leveraging visual foundation model with sequence imitation for embodied manipulation,.

Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges Sam- e: Leveraging visual foundation model with sequence imitation for embodied manipulation,

Reference 94

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source=pdf_text observed=2026-08-05T16:55:52.247634Z digest=sha256:ed940f00fd8d9d9a94a6119cddc3f9046e623ca45a103de66b19518f4d7c6c84

Observation 2262f6d6-f125-45ac-97f1-4f052e6e10d4 · outbound

This paper cites EquAct: An SE(3)-Equivariant Multi-Task Transformer for Open-Loop Robotic Manipulation.

Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges EquAct: An SE(3)-Equivariant Multi-Task Transformer for Open-Loop Robotic Manipulation

Reference 95

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source=pdf_text observed=2026-08-05T16:55:52.250656Z digest=sha256:dfcc7d6cfb2276ea4828d11d3bd1a9d39e8167373e64d1aec888242b5015280c

Observation 99225dd8-1328-41c1-aeb0-4cc6d05d1812 · outbound

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

Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges Cliport: What and where pathways for robotic manipulation,

Reference 96

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source=pdf_text observed=2026-08-05T16:55:52.253808Z digest=sha256:559254f69a2089bc3d0e52510791022fd63cf31c3b8570e0c038384e9258cc48

Observation 455e54cd-e5a8-476c-a414-bfd1cdb4d432 · outbound

This paper cites Moka: Open-vocabulary robotic manipulation through mark-based visual prompting,.

Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges Moka: Open-vocabulary robotic manipulation through mark-based visual prompting,

Reference 97

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source=pdf_text observed=2026-08-05T16:55:52.256407Z digest=sha256:425c550f3e82677c42baa59511d7461874a20bc17810d113cd5578e36b61fc08

Observation 0578c6a1-2bdf-407e-a4b6-a3469a34f81c · outbound

This paper cites Ram: Retrieval-based affordance transfer for generalizable zero-shot robotic manipulation,.

Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges Ram: Retrieval-based affordance transfer for generalizable zero-shot robotic manipulation,

Reference 98

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source=pdf_text observed=2026-08-05T16:55:52.258936Z digest=sha256:7173ed6a2f7a7e9ae1c2276aa4fc7043d35e7e8b256c9ac7305294c8c2da1da7

Observation 92ea1b5f-0a59-4284-9d81-59043bd85d5f · outbound

This paper cites Rekep: Spatio-temporal reasoning of relational keypoint constraints for robotic manipulation,.

Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges Rekep: Spatio-temporal reasoning of relational keypoint constraints for robotic manipulation,

Reference 99

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source=pdf_text observed=2026-08-05T16:55:52.262167Z digest=sha256:45b7ea55253a42947c3c2f01f2744174e1c94888a59273258d8aa20861a68424

Observation df17cc24-fc12-46b6-aa7c-ac86d441d755 · outbound

This paper cites Towards Generalizable Vision-Language Robotic Manipulation: A Benchmark and LLM-guided 3D Policy.

Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges Towards Generalizable Vision-Language Robotic Manipulation: A Benchmark and LLM-guided 3D Policy

Reference 100

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source=pdf_text observed=2026-08-05T16:55:52.265052Z digest=sha256:4033ff5aae7958de190f9344c14471921185f212ce1b42f25f9ef02ddb555e82

Pith citing papers

Observation e4a243a0-1886-473c-a25d-245f4e323a45 · inbound

Multi-Omics Analysis for Cancer Subtype Inference via Unrolling Graph Smoothness Priors cites this paper.

Multi-Omics Analysis for Cancer Subtype Inference via Unrolling Graph Smoothness Priors Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges

Reference 40

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source=pdf_text observed=2026-08-05T22:51:57.217548Z digest=sha256:f2f8f528d86fb1dcbbabe603ee6ebed8a713bfe7c3a04169736691b32cbaff03

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

Learning Semantic Atomic Skills for Multi-Task Robotic Manipulation cites this paper.

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:fafdf1b382a030d0d28827c0461a6f1bafa86191c6689b4b9733595795e74782

Observation 138f9714-3f7c-4e3a-8771-48e42c3713e2 · inbound

Learning Multi-Modal Trajectory Policies for Data-Efficient Robotic Manipulation cites this paper.

Learning Multi-Modal Trajectory Policies for Data-Efficient Robotic Manipulation Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges

Reference 3

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arxiv_id, observed 2026-07-01T21:06:14.825506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-06-28T17:26:36.956666Z digest=sha256:cc57edae246510f64638a68c0543bcccea4d33211bdc5c1b5f8415c6ceb249ca

Observation 3239d6f8-2b3f-4200-a385-b3431935b6c8 · inbound

Decoupling Semantics and Geometric Grounding: Spatial Visual Prompts for Language-Conditioned Imitation Learning cites this paper.

Decoupling Semantics and Geometric Grounding: Spatial Visual Prompts for Language-Conditioned Imitation Learning Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges

Reference 5

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verified exact
arxiv_id, observed 2026-07-04T19:20:07.152003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-06-25T21:23:44.253416Z digest=sha256:5b855a1afecb616508132831c6c6eb2ec862d8a7fef12e7af0b56d785b36167d

Observation f38549da-8949-43ae-8897-c31b5490e21d · inbound

PriGo: Test-Time Primitive Guidance to Diffusion and Flow Policies for Adaptive Robotic Manipulation cites this paper.

PriGo: Test-Time Primitive Guidance to Diffusion and Flow Policies for Adaptive Robotic Manipulation Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges

Reference 2

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local_arxiv, observed 2026-07-09T20:46:33.637470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-07-09T20:38:38.404267Z digest=sha256:73255a956d2aeca23521ff55286f27ae8dac930efcf95f4e168854bc2f1b9279

Observation e2f104e6-1eca-4f38-b12e-a5c360206de5 · inbound

Dynamics-Aware Meta-Imitation for Generalization to Unseen Robotic Manipulation cites this paper.

Dynamics-Aware Meta-Imitation for Generalization to Unseen Robotic Manipulation Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges

Reference 2

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source=pdf_text observed=2026-08-01T22:07:40.751335Z digest=sha256:47f24c375a7b11ccd66a90d2a7551522d74570ffda2ac9f4fbf6649aef23a503

Observation 473b425e-c2a5-4744-a67c-566d41849eaf · inbound

S2A2: Audio-Visual Imitation Learning for Manipulation Tasks Using Acoustic Spatial Information cites this paper.

S2A2: Audio-Visual Imitation Learning for Manipulation Tasks Using Acoustic Spatial Information Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges

Reference 29

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source=pdf_text observed=2026-08-01T00:49:56.444112Z digest=sha256:227d16d35ceea98618b8e4824cb36b127dae05b9e77ac3e95dd65c915403e958