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Paper Citation Record · LEDGER

CordViP: Correspondence-based Visuomotor Policy for Dexterous Manipulation in Real-World

As of 21 August 2026, this Paper Citation Record lists 74 of 74 outbound references and 6 inbound Pith citation observations for arXiv:2502.08449.

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

pith.paper-citation-record.v1
2502.08449 v2

Coverage vector

measured 74 of 74 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T05:06:17.971132Z

measured 80 of 80 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:50:35.142556Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T23:27:26.842660Z

Reference resolution

74 of 74 outbound references displayed

  • verified exact1
  • verified fuzzy23
  • unresolved50
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 90ef3e92-3b32-4a4d-a44a-e082f07eb203 · outbound

This paper cites Dexterous manipulation using both palm and fingers.

CordViP: Correspondence-based Visuomotor Policy for Dexterous Manipulation in Real-World Dexterous manipulation using both palm and fingers

Reference 1

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T05:06:17.597828Z digest=sha256:3826a90111bf11e964e698556b98be02edbc69b6f29e267dad77e828055ade3b

Observation 501b3031-c221-4cd2-811b-489bbf226891 · outbound

This paper cites All the feels: A dexterous hand with large-area tactile sensing.

CordViP: Correspondence-based Visuomotor Policy for Dexterous Manipulation in Real-World All the feels: A dexterous hand with large-area tactile sensing

Reference 2

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source=pdf_text observed=2026-08-08T05:06:17.603643Z digest=sha256:d7827bedec40d8fab4d943dcc5ceddef1d2aaf6581357d2d7e79654c3b089da6

Observation 5ede2875-826d-490b-aaea-36ff2520eb48 · outbound

This paper cites A system for general in-hand object re-orientation.

CordViP: Correspondence-based Visuomotor Policy for Dexterous Manipulation in Real-World A system for general in-hand object re-orientation

Reference 3

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source=pdf_text observed=2026-08-08T05:06:17.608653Z digest=sha256:44a1cd815b46da3d23866d248bfb468e50a5fc1af1eaf654cfba2cfdaf54bc61

Observation 36cacf45-a10e-4e55-89bd-3ee02f4a94c8 · outbound

This paper cites G3Flow: Generative 3D Semantic Flow for Pose-aware and Generalizable Object Manipulation.

CordViP: Correspondence-based Visuomotor Policy for Dexterous Manipulation in Real-World G3Flow: Generative 3D Semantic Flow for Pose-aware and Generalizable Object Manipulation

Reference 4

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source=pdf_text observed=2026-08-08T05:06:17.614927Z digest=sha256:c607e238c6daa6981c81d8210fc88afb9727647078ff542bab6eed8f47268bfd

Observation 844924fa-43b9-47a6-a013-372f84922b94 · outbound

This paper cites Towards human-level bimanual dexterous manipulation with re- inforcement learning.

CordViP: Correspondence-based Visuomotor Policy for Dexterous Manipulation in Real-World Towards human-level bimanual dexterous manipulation with re- inforcement learning

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T05:06:17.620777Z digest=sha256:3c988887e0ecfaaaa6462c10ff036450216f87724244715ab6f79ac15081819b

Observation f4ae9377-620f-4099-9d6a-579d199a9a0c · outbound

This paper cites Sequential Dexterity: Chaining Dexterous Policies for Long-Horizon Manipulation.

CordViP: Correspondence-based Visuomotor Policy for Dexterous Manipulation in Real-World Sequential Dexterity: Chaining Dexterous Policies for Long-Horizon Manipulation

Reference 6

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source=pdf_text observed=2026-08-08T05:06:17.627165Z digest=sha256:7aacad024e454bcbf26120a18851364aa3a263a8dca3a9d6b7c6951f7a5a6e42

Observation b8632c30-8892-4a8e-ae2d-1e0bb8fe6e2e · outbound

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

CordViP: Correspondence-based Visuomotor Policy for Dexterous Manipulation in Real-World Diffusion policy: Visuomotor policy learning via action diffusion

Reference 7

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source=pdf_text observed=2026-08-08T05:06:17.633708Z digest=sha256:5bdcb715de97e46a24bf2e2dcfa5463ca58569137522a36362e9f3156906fb4e

Observation 31c4a15b-6704-43fb-b991-1f4d7ad23ceb · outbound

This paper cites Cover and P.

CordViP: Correspondence-based Visuomotor Policy for Dexterous Manipulation in Real-World Cover and P

Reference 8

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source=pdf_text observed=2026-08-08T05:06:17.639162Z digest=sha256:125fa1d9b1a6bac4044b772e5e5b916637b3ae77c58b79c60df7bdbfeac432a0

Observation 848fe004-7bd8-4050-baec-aeb8bd1ceee4 · outbound

This paper cites Preafford: Universal affordance-based pre-grasping for diverse objects and environments.

CordViP: Correspondence-based Visuomotor Policy for Dexterous Manipulation in Real-World Preafford: Universal affordance-based pre-grasping for diverse objects and environments

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T05:06:17.644246Z digest=sha256:0f2c9b1d948a392627e25a1d497a00918064264d1168d684c70bc0feb0d85a76

Observation b30a2230-babb-4cdc-b41c-da49508564f0 · outbound

This paper cites Scaling Cross-Embodied Learning: One Policy for Manipulation, Navigation, Locomotion and Aviation.

CordViP: Correspondence-based Visuomotor Policy for Dexterous Manipulation in Real-World Scaling Cross-Embodied Learning: One Policy for Manipulation, Navigation, Locomotion and Aviation

Reference 10

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source=pdf_text observed=2026-08-08T05:06:17.649510Z digest=sha256:57ec5da16142ee8fb2e62dc8ff6d3c2d25e29a5ccbac098fef66ec925649d34f

Observation fd717828-dc78-4efb-bb6c-3ef58d0e612d · outbound

This paper cites FlowBot3D: Learning 3D Articulation Flow to Manipulate Articulated Objects.

CordViP: Correspondence-based Visuomotor Policy for Dexterous Manipulation in Real-World FlowBot3D: Learning 3D Articulation Flow to Manipulate Articulated Objects

Reference 11

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source=pdf_text observed=2026-08-08T05:06:17.654694Z digest=sha256:88d8b3a66a6c89997a329791aa7ed219059b4f8b8e6192ff5e85600faaa05cb6

Observation d9def2ad-d12a-4105-bc64-de46e885b3a7 · outbound

This paper cites Deep SE(3)-Equivariant Geometric Reasoning for Precise Placement Tasks.

CordViP: Correspondence-based Visuomotor Policy for Dexterous Manipulation in Real-World Deep SE(3)-Equivariant Geometric Reasoning for Precise Placement Tasks

Reference 12

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source=pdf_text observed=2026-08-08T05:06:17.659853Z digest=sha256:cfc06f7cfd07bf30da005c4d23d573a52ebb5a2892542ef056c83d525fd6f12d

Observation 989f029d-200a-4f45-9962-b9664d2f0ae1 · outbound

This paper cites Act3D: 3D Feature Field Transformers for Multi-Task Robotic Manipulation.

CordViP: Correspondence-based Visuomotor Policy for Dexterous Manipulation in Real-World Act3D: 3D Feature Field Transformers for Multi-Task Robotic Manipulation

Reference 13

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source=pdf_text observed=2026-08-08T05:06:17.665060Z digest=sha256:fbb9a30b3c6473685d5789c468c27a4b6fc5e11e7922bce1b425e0400549c020

Observation 24b6b649-5284-45f7-ae15-621fc997e039 · outbound

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

CordViP: Correspondence-based Visuomotor Policy for Dexterous Manipulation in Real-World Rvt: Robotic view transformer for 3d object manipulation

Reference 14

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source=pdf_text observed=2026-08-08T05:06:17.669997Z digest=sha256:9311816292e8fbd67284edac6677e443fb26cb6cef5c8a7e4ab0955b02cf77d6

Observation 0d3a715e-3592-4b89-95e8-124c0b03b6d8 · outbound

This paper cites Reset-free reinforcement learning via multi- task learning: Learning dexterous manipulation behaviors without human intervention.

CordViP: Correspondence-based Visuomotor Policy for Dexterous Manipulation in Real-World Reset-free reinforcement learning via multi- task learning: Learning dexterous manipulation behaviors without human intervention

Reference 15

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source=pdf_text observed=2026-08-08T05:06:17.674873Z digest=sha256:f7fef12987f78aa29601a70907e4814cce53fb5b371f5cb1eee39d75e9483f26

Observation 858f8f63-59ab-4f79-a0e7-6bb5d9303cf6 · outbound

This paper cites Towards robust and domain agnostic reinforcement learning competitions: Minerl.

CordViP: Correspondence-based Visuomotor Policy for Dexterous Manipulation in Real-World Towards robust and domain agnostic reinforcement learning competitions: Minerl

Reference 16

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source=pdf_text observed=2026-08-08T05:06:17.679736Z digest=sha256:ed62b8cde7335d0b77edc80c79721f824774e5c02c8fbe5d83093b1091e0acfb

Observation 57e982d7-3806-4fb6-8716-e993c2916fa1 · outbound

This paper cites Dexterity from Touch: Self-Supervised Pre-Training of Tactile Representations with Robotic Play.

CordViP: Correspondence-based Visuomotor Policy for Dexterous Manipulation in Real-World Dexterity from Touch: Self-Supervised Pre-Training of Tactile Representations with Robotic Play

Reference 17

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source=pdf_text observed=2026-08-08T05:06:17.691053Z digest=sha256:dc9ce26b2bee4143b6d08267e8c5c85c11cd8d50723ef36407106d248f457f35

Observation 4a730ffc-7f05-4487-80f9-5afb505fb606 · outbound

This paper cites See to touch: Learning tactile dexterity through visual incentives.

CordViP: Correspondence-based Visuomotor Policy for Dexterous Manipulation in Real-World See to touch: Learning tactile dexterity through visual incentives

Reference 18

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source=pdf_text observed=2026-08-08T05:06:17.695972Z digest=sha256:2207303ac2aa3a7c47b1b60c0295a313120a6d7d2aad8b8848deaa227758b37e

Observation 51004983-159e-4419-8dfd-7957663d73f2 · outbound

This paper cites Teach a Robot to FISH: Versatile Imitation from One Minute of Demonstrations.

CordViP: Correspondence-based Visuomotor Policy for Dexterous Manipulation in Real-World Teach a Robot to FISH: Versatile Imitation from One Minute of Demonstrations

Reference 19

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source=pdf_text observed=2026-08-08T05:06:17.700937Z digest=sha256:83d6298d51588245eeb4a594a1a2bbe33242672dea3acc913680b6d729f05b8a

Observation 12286889-d57b-4bbc-a51f-82ff89dd6348 · outbound

This paper cites Dextreme: Transfer of agile in-hand manipulation from simulation to reality.

CordViP: Correspondence-based Visuomotor Policy for Dexterous Manipulation in Real-World Dextreme: Transfer of agile in-hand manipulation from simulation to reality

Reference 20

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source=pdf_text observed=2026-08-08T05:06:17.706475Z digest=sha256:bbc89ac6b70ea873477aa9541be251dd112d50ea7cc2f35a8e17615279176d43

Observation 466fb540-3236-4ae3-9023-769634793151 · outbound

This paper cites Sur- femb: Dense and continuous correspondence distributions for object pose estimation with learnt surface embeddings.

CordViP: Correspondence-based Visuomotor Policy for Dexterous Manipulation in Real-World Sur- femb: Dense and continuous correspondence distributions for object pose estimation with learnt surface embeddings

Reference 21

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source=pdf_text observed=2026-08-08T05:06:17.711433Z digest=sha256:80b6ea9de42574c2ae2dac28dba1c73a62a06b69d475cc05ccf4b7bceda1119f

Observation 1d843b61-f33f-42d2-9fb5-5eb3c298dac0 · outbound

This paper cites Denoising diffusion probabilistic models.

CordViP: Correspondence-based Visuomotor Policy for Dexterous Manipulation in Real-World Denoising diffusion probabilistic models

Reference 22

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Observation 76a432df-99f7-4365-92ef-88aa64f5819d · outbound

This paper cites Lift3D Foundation Policy: Lifting 2D Large-Scale Pretrained Models for Robust 3D Robotic Manipulation.

CordViP: Correspondence-based Visuomotor Policy for Dexterous Manipulation in Real-World Lift3D Foundation Policy: Lifting 2D Large-Scale Pretrained Models for Robust 3D Robotic Manipulation

Reference 23

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Observation b92059b3-8ee4-43f6-8452-7e3f19450675 · outbound

This paper cites Hand-object contact consistency reasoning for hu- man grasps generation.

CordViP: Correspondence-based Visuomotor Policy for Dexterous Manipulation in Real-World Hand-object contact consistency reasoning for hu- man grasps generation

Reference 24

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source=pdf_text observed=2026-08-08T05:06:17.727226Z digest=sha256:eeae6f4586793b6e1acb69fda20156f482df6b26e7ddc02f51f9c993dba85a8a

Observation 4de4a156-20c8-43b3-a85a-34ec9f1588e0 · outbound

This paper cites Segment Anything.

CordViP: Correspondence-based Visuomotor Policy for Dexterous Manipulation in Real-World Segment Anything

Reference 25

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Observation 30c3835b-e7dc-4f21-b3a6-45ad45773b52 · outbound

This paper cites Real-time behaviour synthesis for dynamic hand- manipulation.

CordViP: Correspondence-based Visuomotor Policy for Dexterous Manipulation in Real-World Real-time behaviour synthesis for dynamic hand- manipulation

Reference 26

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source=pdf_text observed=2026-08-08T05:06:17.738504Z digest=sha256:c46f375bc693518c6e39a93a255ae7cb5031f07dcf2c3392c550a47c65a07ef8

Observation fc79e5dc-8b2e-4b76-ac15-522472732072 · outbound

This paper cites The functional correspondence problem.

CordViP: Correspondence-based Visuomotor Policy for Dexterous Manipulation in Real-World The functional correspondence problem

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T05:06:17.743135Z digest=sha256:c7811634786d1bbbd6b3c8450fef5b128012abaa06ce595d7cef2168d4d74deb

Observation f5173669-616f-498c-8c4c-8c36238b4f7c · outbound

This paper cites Dexhanddiff: Interaction-aware diffusion planning for adaptive dexterous manipulation,.

CordViP: Correspondence-based Visuomotor Policy for Dexterous Manipulation in Real-World Dexhanddiff: Interaction-aware diffusion planning for adaptive dexterous manipulation,

Reference 28

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source=pdf_text observed=2026-08-08T05:06:17.748568Z digest=sha256:93659cb442b367af193c932e18e17371b66b33031f610c9cdc67740eb8f36dbd

Observation 0b858c44-c681-4a6a-bd3e-4a7035ea8926 · outbound

This paper cites Limitations of Autoregressive Models and Their Alternatives.

CordViP: Correspondence-based Visuomotor Policy for Dexterous Manipulation in Real-World Limitations of Autoregressive Models and Their Alternatives

Reference 29

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source=pdf_text observed=2026-08-08T05:06:17.758112Z digest=sha256:62ec69a1f7ec966a15f95e859ab49a0279ef3891905da55b7339643d34900294

Observation e9fe0d92-e8a9-4a26-8fd2-2ab8395061f3 · outbound

This paper cites Avr: Active vision-driven robotic precision manipulation with viewpoint and focal length optimization.

CordViP: Correspondence-based Visuomotor Policy for Dexterous Manipulation in Real-World Avr: Active vision-driven robotic precision manipulation with viewpoint and focal length optimization

Reference 30

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Observation d36f5c99-dd47-4cba-bcf2-8627e165529f · outbound

This paper cites ManiCM: Real-time 3D Diffusion Policy via Consistency Model for Robotic Manipulation.

CordViP: Correspondence-based Visuomotor Policy for Dexterous Manipulation in Real-World ManiCM: Real-time 3D Diffusion Policy via Consistency Model for Robotic Manipulation

Reference 31

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source=pdf_text observed=2026-08-08T05:06:17.767961Z digest=sha256:d7dec58557fa0837f203423feadda15eec9e8d4eb85df833210582cf56bc7b2d

Observation 5f677f02-f2ce-4e5e-9825-9d61deea699b · outbound

This paper cites What Matters in Learning from Offline Human Demonstrations for Robot Manipulation.

CordViP: Correspondence-based Visuomotor Policy for Dexterous Manipulation in Real-World What Matters in Learning from Offline Human Demonstrations for Robot Manipulation

Reference 32

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source=pdf_text observed=2026-08-08T05:06:17.773288Z digest=sha256:43804615b0f354cf4aaa26b5b4928c5eb96358fb8609a9e4aaa0f250bf3322f2

Observation a9193ba3-4ec3-48fb-9788-d9db2dc50009 · outbound

This paper cites Contact-invariant optimization for hand manipulation.

CordViP: Correspondence-based Visuomotor Policy for Dexterous Manipulation in Real-World Contact-invariant optimization for hand manipulation

Reference 33

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T05:06:17.778588Z digest=sha256:7d5550a2c3aba379458bd3261767d3b62d5b83a43d56fb39336cb4f82b014ce7

Observation c909c59b-efc5-4352-a38f-209327be95d0 · outbound

This paper cites RoboTwin: Dual-Arm Robot Benchmark with Generative Digital Twins (early version).

CordViP: Correspondence-based Visuomotor Policy for Dexterous Manipulation in Real-World RoboTwin: Dual-Arm Robot Benchmark with Generative Digital Twins (early version)

Reference 34

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source=pdf_text observed=2026-08-08T05:06:17.783417Z digest=sha256:e6d4e39560d9d66181cdff9e34b32c0a21843ce0c6805c9bd4d36863b2d401a2

Observation 276598c8-63c1-4a3e-b938-97f8a3a67076 · outbound

This paper cites RoboTwin: Dual-Arm Robot Benchmark with Generative Digital Twins.

CordViP: Correspondence-based Visuomotor Policy for Dexterous Manipulation in Real-World RoboTwin: Dual-Arm Robot Benchmark with Generative Digital Twins

Reference 35

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T05:06:17.788271Z digest=sha256:675630461cafb75f66630340e1c99342971b38c94f1bc4260fe372196f2c227b

Observation a0c15783-2083-4eca-9918-1aa473ea9454 · outbound

This paper cites Dgcm-net: dense geometrical correspondence matching network for incremental experience-based robotic grasping.

CordViP: Correspondence-based Visuomotor Policy for Dexterous Manipulation in Real-World Dgcm-net: dense geometrical correspondence matching network for incremental experience-based robotic grasping

Reference 36

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verified fuzzy
raw_fallback, observed 2026-08-08T05:06:19.034716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T05:06:17.793412Z digest=sha256:27da8646a7126c52aba4344fe59c6ad03d11214a761482be19a245541772fb29

Observation 5545261f-5f09-4001-b419-c1b6643ebe3b · outbound

This paper cites Reconstructing hands in 3D with transformers.

CordViP: Correspondence-based Visuomotor Policy for Dexterous Manipulation in Real-World Reconstructing hands in 3D with transformers

Reference 37

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source=pdf_text observed=2026-08-08T05:06:17.799308Z digest=sha256:58f385a6ecf63f708583bdb8ec1d2942d39e6f1205141e5440f097838ca828e4

Observation 90a939e1-b09b-4ee2-a676-a6764e222279 · outbound

This paper cites Imitating Human Behaviour with Diffusion Models.

CordViP: Correspondence-based Visuomotor Policy for Dexterous Manipulation in Real-World Imitating Human Behaviour with Diffusion Models

Reference 38

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source=pdf_text observed=2026-08-08T05:06:17.803837Z digest=sha256:58bb9c6551ce0eb3eaf82c9f88305d00f1da0f8b9f10c09e40b8160ccc781ba7

Observation 63ab587b-d7d5-4056-b727-c1f8ddd6c10e · outbound

This paper cites Dextrous tactile in-hand manipulation using a modular reinforcement learning architecture.

CordViP: Correspondence-based Visuomotor Policy for Dexterous Manipulation in Real-World Dextrous tactile in-hand manipulation using a modular reinforcement learning architecture

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T05:06:19.008365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T05:06:17.808854Z digest=sha256:9ca1035e1cf2842b0a1325225c9d1d9ad1fabe8997fe4c4ff64f0fd48c306934

Observation 709be58f-e413-48be-b786-58ef260a7d9a · outbound

This paper cites Alvinn: An autonomous land vehicle in a neural network.

CordViP: Correspondence-based Visuomotor Policy for Dexterous Manipulation in Real-World Alvinn: An autonomous land vehicle in a neural network

Reference 40

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T05:06:17.813955Z digest=sha256:e1737f7e32fc8c1bb7b9f72c96cf8e454d1ebdf7d0872ea8c6fd442b3fe90f0c

Observation 1a8c5c80-584f-4942-84a3-2436a60669a0 · outbound

This paper cites PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation.

CordViP: Correspondence-based Visuomotor Policy for Dexterous Manipulation in Real-World PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

Reference 41

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T05:06:17.818619Z digest=sha256:c73277f231e0bfb85edd45e325463515c0b1ef60078f1cf5df1339a52058b126

Observation 132d96bf-cc86-4a80-b256-5c14769cb6a8 · outbound

This paper cites PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space.

CordViP: Correspondence-based Visuomotor Policy for Dexterous Manipulation in Real-World PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

Reference 42

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T05:06:17.823525Z digest=sha256:c0e942604739bfb66f60181194134c6aa9d5676b429c6cb7008aa2e2b57fe6da

Observation 66f4d079-2691-4752-96b3-afd275380008 · outbound

This paper cites In-hand object rotation via rapid motor adaptation.

CordViP: Correspondence-based Visuomotor Policy for Dexterous Manipulation in Real-World In-hand object rotation via rapid motor adaptation

Reference 43

Resolution
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no resolver link, observed 2026-08-08T05:06:17.828319Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T05:06:17.828319Z digest=sha256:47919fcd315be3a5085ecef4fc77d87efee54826e238da4b7c602db710d75a17

Observation f627324c-dfbc-49ee-8e1e-98de90781d45 · outbound

This paper cites Pointnext: Revisiting pointnet++ with improved training and scaling strategies.

CordViP: Correspondence-based Visuomotor Policy for Dexterous Manipulation in Real-World Pointnext: Revisiting pointnet++ with improved training and scaling strategies

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T05:06:18.972996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T05:06:17.833021Z digest=sha256:86c3454b6cf4c58b5b6da3667155cb493b8d3f546a19a1c5cef5d8378e55b0d8

Observation 1119c8b6-139c-4ad0-a8e1-4548fbca0158 · outbound

This paper cites Dexmv: Imitation learning for dexterous manipulation from human videos, 2021.

CordViP: Correspondence-based Visuomotor Policy for Dexterous Manipulation in Real-World Dexmv: Imitation learning for dexterous manipulation from human videos, 2021

Reference 45

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T05:06:17.837922Z digest=sha256:81cda0ba34b553ef2ad2eb6c78a4f694df0b6b89f23231133b739514d017aabf

Observation 6fb3ae9e-b485-4847-a723-26eacf3ef1aa · outbound

This paper cites AnyTeleop: A General Vision-Based Dexterous Robot Arm-Hand Teleoperation System.

CordViP: Correspondence-based Visuomotor Policy for Dexterous Manipulation in Real-World AnyTeleop: A General Vision-Based Dexterous Robot Arm-Hand Teleoperation System

Reference 46

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T05:06:17.842695Z digest=sha256:79016128b19ad89cd25cca3b4eff28ca135f2f97c2b523d4b15acf5c38d1e6b2

Observation 07a0e576-6fcd-488d-81d7-d63054b57292 · outbound

This paper cites Goal-Conditioned Imitation Learning using Score-based Diffusion Policies.

CordViP: Correspondence-based Visuomotor Policy for Dexterous Manipulation in Real-World Goal-Conditioned Imitation Learning using Score-based Diffusion Policies

Reference 47

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T05:06:17.847509Z digest=sha256:97fbe857350e4f08e3b8425896ef992dba3087e9b279ef67aa78f4c507c45d99

Observation ffcde0ae-82cd-4264-85a8-e6a7be594d93 · outbound

This paper cites LEAP Hand: Low-Cost, Efficient, and Anthropomorphic Hand for Robot Learning.

CordViP: Correspondence-based Visuomotor Policy for Dexterous Manipulation in Real-World LEAP Hand: Low-Cost, Efficient, and Anthropomorphic Hand for Robot Learning

Reference 48

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T05:06:17.852668Z digest=sha256:5fe30aef8652b474b44cc66466bb8fca2937dc620d7d43fb3093cd36199c0531

Observation 41b2202c-3b1b-4675-beb1-102644af6c50 · outbound

This paper cites 12 Perceiver-actor: A multi-task transformer for robotic manipulation.

CordViP: Correspondence-based Visuomotor Policy for Dexterous Manipulation in Real-World 12 Perceiver-actor: A multi-task transformer for robotic manipulation

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T05:06:18.947085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T05:06:17.857325Z digest=sha256:e4fcacc0622eeb4467f215d4688876b2367e3c089587a5b663836d3ec28d9f00

Observation 829bc43d-5430-4315-b194-d328a68515f2 · outbound

This paper cites Denoising Diffusion Implicit Models.

CordViP: Correspondence-based Visuomotor Policy for Dexterous Manipulation in Real-World Denoising Diffusion Implicit Models

Reference 50

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T05:06:17.862604Z digest=sha256:8cd78587309c05025d797664f65feb639e28dd06caa64f7afb4dc345103ed70f

Observation cb3a7d39-d82f-467e-9f03-c299a148f9b7 · outbound

This paper cites Motion Before Action: Diffusing Object Motion as Manipulation Condition.

CordViP: Correspondence-based Visuomotor Policy for Dexterous Manipulation in Real-World Motion Before Action: Diffusing Object Motion as Manipulation Condition

Reference 51

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T05:06:17.867393Z digest=sha256:43bdfb9608950b5f3fa5da01882443c2642d6799dc724e605488e0911402976c

Observation 1ef5492a-bb64-454c-8c2b-20967e14deb4 · outbound

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

CordViP: Correspondence-based Visuomotor Policy for Dexterous Manipulation in Real-World Octo: An Open-Source Generalist Robot Policy

Reference 52

Resolution
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no resolver link, observed 2026-08-08T05:06:17.872371Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T05:06:17.872371Z digest=sha256:a6946acd0ba780e956c92f461be90e5a06fffd0b9fa500f721dfcc751f06006f

Observation fd4c10f4-8d5f-4711-9984-785ae1c8b3cd · outbound

This paper cites TripoSR: Fast 3D Object Reconstruction from a Single Image.

CordViP: Correspondence-based Visuomotor Policy for Dexterous Manipulation in Real-World TripoSR: Fast 3D Object Reconstruction from a Single Image

Reference 53

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T05:06:17.877150Z digest=sha256:142cc33c2a32e75f3946df8142a53505f044ffcb5a5870a0cd2f61421749704f

Observation 5f218bf6-7a53-4800-b709-9bd570e5d80f · outbound

This paper cites MimicPlay: Long-Horizon Imitation Learning by Watching Human Play.

CordViP: Correspondence-based Visuomotor Policy for Dexterous Manipulation in Real-World MimicPlay: Long-Horizon Imitation Learning by Watching Human Play

Reference 54

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T05:06:17.881988Z digest=sha256:e7aee26a4068e8a50d4952c12b0555d8cb64beef1365aba6f9741f09b29a7bd5

Observation 530b2393-f22c-402e-baee-e1077de5eb13 · outbound

This paper cites DexCap: Scalable and Portable Mocap Data Collection System for Dexterous Manipulation.

CordViP: Correspondence-based Visuomotor Policy for Dexterous Manipulation in Real-World DexCap: Scalable and Portable Mocap Data Collection System for Dexterous Manipulation

Reference 55

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T05:06:17.886911Z digest=sha256:f74d98870f9df0cc0ee7cafc0c574937855fcc571ecefd98add50184157d90eb

Observation 4cc78616-8c9b-4d98-a383-6426486bef5d · outbound

This paper cites RISE: 3D Perception Makes Real-World Robot Imitation Simple and Effective.

CordViP: Correspondence-based Visuomotor Policy for Dexterous Manipulation in Real-World RISE: 3D Perception Makes Real-World Robot Imitation Simple and Effective

Reference 56

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T05:06:17.891884Z digest=sha256:6ad57c38026ae7cdccf173b8897f2b41b9d3a8388825a8b9ccf998cf44813013

Observation a126070e-bce0-4d92-aaff-be9836e819da · outbound

This paper cites Equivariant diffusion policy.

CordViP: Correspondence-based Visuomotor Policy for Dexterous Manipulation in Real-World Equivariant diffusion policy

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T05:06:18.931847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T05:06:17.896626Z digest=sha256:d9a79a01e6eb83eb8f9a168207ef3c12e77c8580d5df44946ea3e6226f58a985

Observation 8b9daa45-1d5d-4791-9a9d-eb3422d52053 · outbound

This paper cites DexGraspNet: A Large-Scale Robotic Dexterous Grasp Dataset for General Objects Based on Simulation.

CordViP: Correspondence-based Visuomotor Policy for Dexterous Manipulation in Real-World DexGraspNet: A Large-Scale Robotic Dexterous Grasp Dataset for General Objects Based on Simulation

Reference 58

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T05:06:17.901064Z digest=sha256:50f63b168100a9ed423e99762d0032ec600234ad2c08bd15138f0ed1497a977b

Observation a87c0344-1a9f-4db8-9e9b-74c49958d96e · outbound

This paper cites $\mathcal{D(R,O)}$ Grasp: A Unified Representation of Robot and Object Interaction for Cross-Embodiment Dexterous Grasping.

CordViP: Correspondence-based Visuomotor Policy for Dexterous Manipulation in Real-World $\mathcal{D(R,O)}$ Grasp: A Unified Representation of Robot and Object Interaction for Cross-Embodiment Dexterous Grasping

Reference 59

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T05:06:17.905809Z digest=sha256:8826ac7c61b3ef20900205bd2cede04662624b53e47d52397f484cac1912d6b7

Observation b76db9d0-ae41-4a46-818c-593ab3f6755a · outbound

This paper cites FoundationPose: Unified 6d pose estimation and tracking of novel objects.

CordViP: Correspondence-based Visuomotor Policy for Dexterous Manipulation in Real-World FoundationPose: Unified 6d pose estimation and tracking of novel objects

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T05:06:18.916808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T05:06:17.910763Z digest=sha256:874f4b68f14ad535318bc268469864274d4af0be77abc326d07c289aa8d12164

Observation 8d4c78ab-57ed-42f5-843d-455fa770737f · outbound

This paper cites Unigarmentmanip: A unified framework for category-level garment manipulation via dense visual cor- respondence.

CordViP: Correspondence-based Visuomotor Policy for Dexterous Manipulation in Real-World Unigarmentmanip: A unified framework for category-level garment manipulation via dense visual cor- respondence

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T05:06:18.900359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T05:06:17.915725Z digest=sha256:48e4c707421262ed3cc80c186f0c409398369e584f9f0e1752b0fadfb32140f2

Observation a732afc6-acee-4ee9-b6b0-98289b19f7ad · outbound

This paper cites Canonical Representation and Force-Based Pretraining of 3D Tactile for Dexterous Visuo-Tactile Policy Learning.

CordViP: Correspondence-based Visuomotor Policy for Dexterous Manipulation in Real-World Canonical Representation and Force-Based Pretraining of 3D Tactile for Dexterous Visuo-Tactile Policy Learning

Reference 62

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T05:06:17.920520Z digest=sha256:80996ac42b2b73c34c6dfb1e24aebd1c46689f48b888c540b54b57f46f36c41a

Observation 6af10ddc-d25a-495b-920d-cc5f8e849c75 · outbound

This paper cites CAGE: Causal Attention Enables Data-Efficient Generalizable Robotic Manipulation.

CordViP: Correspondence-based Visuomotor Policy for Dexterous Manipulation in Real-World CAGE: Causal Attention Enables Data-Efficient Generalizable Robotic Manipulation

Reference 63

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T05:06:17.925147Z digest=sha256:123880c90a8d3639242eff38014fad329a92668b64d4457569cf5cd301a8d377

Observation 31d1e9c9-0f16-4221-9bc5-e0f8fd354bcc · outbound

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

CordViP: Correspondence-based Visuomotor Policy for Dexterous Manipulation in Real-World Chaineddiffuser: Unifying trajectory diffusion and keypose prediction for robotic manipulation

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T05:06:18.883239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T05:06:17.930138Z digest=sha256:6dffc9d78890e855375ec4ed8b80fbe23da9c6f86166b06ab5a96dfb933cf5f9

Observation 58eecdf3-8061-4a2b-a305-136709173e99 · outbound

This paper cites Rotating without seeing: Towards in-hand dexterity through touch.

CordViP: Correspondence-based Visuomotor Policy for Dexterous Manipulation in Real-World Rotating without seeing: Towards in-hand dexterity through touch

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T05:06:18.867775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T05:06:17.934936Z digest=sha256:f727e45a0f23d24c2d10f48d2a51bf8b27c285030969d850d020829948a47995

Observation cc7f91cf-8740-4f0d-962e-950dac19984e · outbound

This paper cites Rotating without Seeing: Towards In-hand Dexterity through Touch.

CordViP: Correspondence-based Visuomotor Policy for Dexterous Manipulation in Real-World Rotating without Seeing: Towards In-hand Dexterity through Touch

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-08T05:06:17.939425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T05:06:17.939425Z digest=sha256:467317c940c274c8d7aba6855c1cc2d0b3b849d206cfe19082e152b1d3e0a9c6

Observation 7fc54767-5dc8-4953-a488-4f9a7b58d0a9 · outbound

This paper cites Kebria, Abbas Khosravi, and Saeid Nahavandi.

CordViP: Correspondence-based Visuomotor Policy for Dexterous Manipulation in Real-World Kebria, Abbas Khosravi, and Saeid Nahavandi

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-08T05:06:17.944439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T05:06:17.944439Z digest=sha256:af1566814a7c040b49655f3aac0c2132557db95c37a5ac51a4ecc4810aaaecee

Observation 5e5b9d23-4e05-4309-85e4-69c290caf8ef · outbound

This paper cites Generalizable Humanoid Manipulation with 3D Diffusion Policies.

CordViP: Correspondence-based Visuomotor Policy for Dexterous Manipulation in Real-World Generalizable Humanoid Manipulation with 3D Diffusion Policies

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-08T05:06:17.949896Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T05:06:17.949896Z digest=sha256:61d1fd0d570b091ac3b512e568a83b2d6d26608ff5e254e55d7924b76d7c8fa6

Observation 0a3fd6c6-5fb2-450e-b2c5-345618cb29a5 · outbound

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

CordViP: Correspondence-based Visuomotor Policy for Dexterous Manipulation in Real-World 3d diffusion policy: Generalizable visuomotor policy learning via simple 3d representations

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T05:06:18.852305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T05:06:17.955039Z digest=sha256:689265a7fb8a5d64314b79f8403769479252f35f86ff5af8d3e01ecbc7cf01a2

Observation 18ddd567-efc0-43ea-aa6d-4fa2238baeed · outbound

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

CordViP: Correspondence-based Visuomotor Policy for Dexterous Manipulation in Real-World Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-08T05:06:17.960109Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T05:06:17.960109Z digest=sha256:1c25b9198442a165e4d6d480e50f112d0713f7cf72ff425907802f7fe192083b

Observation 5ced942c-f416-4844-bf69-ad6d0941b268 · outbound

This paper cites Demo” refers to the number of demonstrations collected for each task, “Episode Length.

CordViP: Correspondence-based Visuomotor Policy for Dexterous Manipulation in Real-World Demo” refers to the number of demonstrations collected for each task, “Episode Length

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T05:06:18.836556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T05:06:17.965182Z digest=sha256:2183f9a170a686bd2aeb0353a50554b885be6b88c0b840e28f8fb7aa7ade91c9

Observation 095cb323-94a6-487c-b717-c6ff708cd693 · outbound

This paper cites The visual results are shown in the figure 10.

CordViP: Correspondence-based Visuomotor Policy for Dexterous Manipulation in Real-World The visual results are shown in the figure 10

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T05:06:18.820729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T05:06:17.971132Z digest=sha256:6a0f8927e35e1231b4624669d41f4784b92f914f03ea0d27b6000c99a3cfa7fc

Observation 8f4ebfca-aa31-45e0-bbab-edeae0354b5d · outbound

This paper cites PMLR, 2021.

CordViP: Correspondence-based Visuomotor Policy for Dexterous Manipulation in Real-World PMLR, 2021

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-08T05:06:17.685841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T05:06:17.685841Z digest=sha256:ae605a96ce86a45b8f6ceedd90203edb2162a9ddd3d4a9e64fd053e0078ca524

Observation a7a1c8d4-b92c-4a39-b3ac-e01f62bc0187 · outbound

This paper cites DexHandDiff: Interaction-aware Diffusion Planning for Adaptive Dexterous Manipulation.

CordViP: Correspondence-based Visuomotor Policy for Dexterous Manipulation in Real-World DexHandDiff: Interaction-aware Diffusion Planning for Adaptive Dexterous Manipulation

Reference 2024

Resolution
verified exact
local_arxiv, observed 2026-08-08T05:06:18.572599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T05:06:17.753270Z digest=sha256:2ee73571a0f9798a103f1177d023e9cd0a4e8d83f730330b605838fdcdb61e63

Pith citing papers

Observation b6e350ca-315a-4491-856e-0a13fe836e83 · inbound

RoboOS: A Hierarchical Embodied Framework for Cross-Embodiment and Multi-Agent Collaboration cites this paper.

RoboOS: A Hierarchical Embodied Framework for Cross-Embodiment and Multi-Agent Collaboration CordViP: Correspondence-based Visuomotor Policy for Dexterous Manipulation in Real-World

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-15T23:50:35.142556Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:50:35.142556Z digest=sha256:7b3ac39c3e0548cb12d86a128ae60545e0c0cf695ce29b8a9a8d8a0bf075cddd

Observation 8092b8af-3757-4533-b523-f85bb68f3bbf · inbound

DIPOLE: Fusing Vision and Geometry for Robust Visuomotor Generalization cites this paper.

DIPOLE: Fusing Vision and Geometry for Robust Visuomotor Generalization CordViP: Correspondence-based Visuomotor Policy for Dexterous Manipulation in Real-World

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-03T19:49:23.523205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T19:49:23.523205Z digest=sha256:efeb302c35a75000adfba432a6fa9adb17af0a1e32a165b6fb03f47e455d1870

Observation df4a3215-8bf9-480f-a56b-11db18ed0bfc · inbound

TransDex: Pre-training Visuo-Tactile Policy with Point Cloud Reconstruction for Dexterous Manipulation of Transparent Objects cites this paper.

TransDex: Pre-training Visuo-Tactile Policy with Point Cloud Reconstruction for Dexterous Manipulation of Transparent Objects CordViP: Correspondence-based Visuomotor Policy for Dexterous Manipulation in Real-World

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-02T18:14:50.748871Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T18:14:50.748871Z digest=sha256:fe463283bbb1eb9757d545893f3dcd1854f3f7ed34574fe7248d8a25bb4180eb

Observation 3717752f-34f3-4fd2-84a0-1b24e8708151 · inbound

FingerViP: Learning Real-World Dexterous Manipulation with Fingertip Visual Perception cites this paper.

FingerViP: Learning Real-World Dexterous Manipulation with Fingertip Visual Perception CordViP: Correspondence-based Visuomotor Policy for Dexterous Manipulation in Real-World

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-11T14:21:06.559735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-09T22:00:06.298685Z digest=sha256:7a505aad410e371d9c11ada7ccca24bf67b28bda2132cf310d458323211c29c4

Observation a029f618-3e59-4b16-bc05-1fd28aad8b8c · inbound

X-Imitator: Spatial-Aware Imitation Learning via Bidirectional Action-Pose Interaction cites this paper.

X-Imitator: Spatial-Aware Imitation Learning via Bidirectional Action-Pose Interaction CordViP: Correspondence-based Visuomotor Policy for Dexterous Manipulation in Real-World

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-13T04:52:17.057224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-13T04:50:07.792757Z digest=sha256:bb563816520c7f741757260635c7f45a1359b4607d304c2e4b2bee69ecba7ba2

Observation e868265a-c6f2-45ca-8815-6e66a0946e45 · inbound

Dream-Tac: A Unified Tactile World Action Model for Contact-Rich Robot Manipulation cites this paper.

Dream-Tac: A Unified Tactile World Action Model for Contact-Rich Robot Manipulation CordViP: Correspondence-based Visuomotor Policy for Dexterous Manipulation in Real-World

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-07-02T23:27:26.844104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-27T18:17:06.288698Z digest=sha256:dce4ba34e942947bc2adae213abaf89fe4f4954c382814a9b7360172975606ed