Pith. sign in

Paper Citation Record · LEDGER

LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition

As of 7 August 2026, this Paper Citation Record lists 80 of 80 outbound references and 0 inbound Pith citation observations for arXiv:2606.11628.

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

pith.paper-citation-record.v1
2606.11628 v1

Coverage vector

measured 80 of 80 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-27T10:02:54.183839Z

measured 80 of 80 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

80 of 80 outbound references displayed

  • verified exact48
  • verified fuzzy0
  • unresolved28
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch4

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7a09d3ef-67ac-4e2b-a223-ddcb6ca3a28a · outbound

This paper cites an unresolved cited work.

LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition Unresolved cited work

Reference 1

Resolution
unresolved
no resolver link, observed 2026-06-27T10:02:54.183839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T10:02:54.183839Z digest=sha256:8d3dae8986300e10d022e72138535c2f978f926bcb4e2ae52f51cb14a9798937

Observation 4cdfa780-5538-47c3-90a1-3f46ca572464 · outbound

This paper cites 10610948.

LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition 10610948

Reference 2

Resolution
metadata mismatch
arxiv_id, observed 2026-06-27T10:10:48.827513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T10:02:54.183839Z digest=sha256:bde5ea742f1bbdc17281278b9f4db35e557742dea9cc1275d381a6e31ff3a9cc

Observation ebb3ac18-89d3-47c8-938c-cc96e1705f0d · outbound

This paper cites an unresolved cited work.

LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition Unresolved cited work

Reference 3

Resolution
unresolved
no resolver link, observed 2026-06-27T10:02:54.183839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T10:02:54.183839Z digest=sha256:b28c179ef09eddf9597107f31d275798a3796136d64b5d1f8973044f1f63d950

Observation 88d9c8e8-30b2-4e09-a1b7-de3205f0a247 · outbound

This paper cites Dexterity from smart lenses: Multi-fingered robot manipulation with in-the-wild human demonstrations.

LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition Dexterity from smart lenses: Multi-fingered robot manipulation with in-the-wild human demonstrations

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-07-03T10:27:56.209127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T10:02:54.183839Z digest=sha256:be56c87baa59f2f3e34e242254f3968560ad462ff0b4a42f6bf656130b96aac3

Observation 472f8cae-016e-495d-afbc-20e793089012 · outbound

This paper cites Universal Manipulation Interface: In-The-Wild Robot Teaching Without In-The-Wild Robots.

LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition Universal Manipulation Interface: In-The-Wild Robot Teaching Without In-The-Wild Robots

Reference 5

Resolution
verified exact
doi, observed 2026-06-27T10:10:48.822620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T10:02:54.183839Z digest=sha256:c1612fec453c9fa91df4ad06e9d41f18c4c5fd44f980fdb601b7636932a565c0

Observation f9627403-eb1f-4569-ac78-140593b337fb · outbound

This paper cites UMI-on-Air: Embodiment-Aware Guidance for Embodiment-Agnostic Visuomotor Policies.

LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition UMI-on-Air: Embodiment-Aware Guidance for Embodiment-Agnostic Visuomotor Policies

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-07-03T10:27:56.244532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T10:02:54.183839Z digest=sha256:28ca93737049bcee1223166a5679a2003c4604aad04ee4a6b7330e9bb34490b2

Observation 48e6c19b-d040-48ee-b5d3-1aca675612a0 · outbound

This paper cites an unresolved cited work.

LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition Unresolved cited work

Reference 7

Resolution
unresolved
no resolver link, observed 2026-06-27T10:02:54.183839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T10:02:54.183839Z digest=sha256:0bdf0b7a7059c8c1affcef1296601dc93612ccba84e1b497250287bb7908af60

Observation b2da1251-a3fb-438d-8100-85487db215f4 · outbound

This paper cites Novaflow: Zero-shot manipulation via ac- tionable flow from generated videos.arXiv preprint arXiv:2510.08568, 2025a.

LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition Novaflow: Zero-shot manipulation via ac- tionable flow from generated videos.arXiv preprint arXiv:2510.08568, 2025a

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-07-03T10:27:56.223729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T10:02:54.183839Z digest=sha256:e207e035806153365ed807b0b2a3d7cba5458ecf69dcd5333eb68349f75328b9

Observation 5e8a0209-071b-4b5f-8512-573243d04578 · outbound

This paper cites Simtoolreal: An object-centric policy for zero-shot dexterous tool manipulation.

LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition Simtoolreal: An object-centric policy for zero-shot dexterous tool manipulation

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-07-03T10:27:56.180544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T10:02:54.183839Z digest=sha256:1c44c669b48494f1640c6431ce8b3d897b50bd418655724f0fa916b9949c6595

Observation 5b4f3f42-21c3-47e5-96cd-3445ec84a73c · outbound

This paper cites DextrAH-RGB: Visuomotor Policies to Grasp Anything with Dexterous Hands.

LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition DextrAH-RGB: Visuomotor Policies to Grasp Anything with Dexterous Hands

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-07-03T10:27:56.233765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T10:02:54.183839Z digest=sha256:ebbe2dad160a07d0b9dc04fb465dff40305c4b53a0642bebf66637d4d95e14ee

Observation d014b46a-273e-4bbd-9353-2f6e7698bcef · outbound

This paper cites Qin, Y .-H.

LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition Qin, Y .-H

Reference 11

Resolution
unresolved
no resolver link, observed 2026-06-27T10:02:54.183839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T10:02:54.183839Z digest=sha256:c1a3434aa3fab8c522a898e9de2682fe9588359ba462ca68a1cbf3d749cbc3e7

Observation 7475fd89-2732-4534-a6ec-a0f3daf8e424 · outbound

This paper cites Grasp to Act: Dexterous Grasping for Tool Use in Dynamic Settings.

LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition Grasp to Act: Dexterous Grasping for Tool Use in Dynamic Settings

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-07-03T10:27:56.260686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T10:02:54.183839Z digest=sha256:7a372e2bbc3424a5bc57460bdd78de987ab6cfb4c633030916c4500349746552

Observation 30ccf3ec-92c7-4eb3-b1de-1673127d7ed9 · outbound

This paper cites Kuang, S.

LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition Kuang, S

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-07-03T10:27:56.225662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T10:02:54.183839Z digest=sha256:7ff784c26c241af6729162f8f65193acf236c086120b26033cc201d38d0cc0c6

Observation 00f9a0b9-dcb8-48dc-9225-e4a7ee29a6ff · outbound

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

LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition DreamDojo: A Generalist Robot World Model from Large-Scale Human Videos

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-07-03T10:27:56.217795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T10:02:54.183839Z digest=sha256:aa118ae5453a76d7f3e9561ab73bfa5f903b0c99cfa389c6d754c38c2c28102f

Observation d2c87284-fa2e-4c2c-aafa-7c742efa349f · outbound

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

LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition World Action Models are Zero-shot Policies

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-07-03T10:27:56.231224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T10:02:54.183839Z digest=sha256:6c34d448659baa824e86d188039e0cf83f02657fb1daeaf62e010dd7d0532d94

Observation 75030aad-eb54-4fbc-80f2-dc7b62893f01 · outbound

This paper cites an unresolved cited work.

LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition Unresolved cited work

Reference 16

Resolution
unresolved
no resolver link, observed 2026-06-27T10:02:54.183839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T10:02:54.183839Z digest=sha256:df1d37a0695167ab9ea8684c2908dfe767c33f5f0fccc5b4b025b4f89883b139

Observation 654bf3bc-b1f1-4d4c-9be8-72ab5aa5f37e · outbound

This paper cites Xu, Y .-W.

LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition Xu, Y .-W

Reference 17

Resolution
unresolved
no resolver link, observed 2026-06-27T10:02:54.183839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T10:02:54.183839Z digest=sha256:9463bee5492bbb3ce5dca8e56abd056af464d0e8929069ab9eca5ae9d00cacbf

Observation 80c0c1fc-7a3e-4ef6-89c6-3d878cff243d · outbound

This paper cites an unresolved cited work.

LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition Unresolved cited work

Reference 18

Resolution
unresolved
no resolver link, observed 2026-06-27T10:02:54.183839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T10:02:54.183839Z digest=sha256:8f432d782027c6182317ad9870c24c87649bde193310162174d5a7369a812d7a

Observation 0ccc2fbc-0126-43b6-ba99-59992a99c7f2 · outbound

This paper cites an unresolved cited work.

LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition Unresolved cited work

Reference 19

Resolution
unresolved
no resolver link, observed 2026-06-27T10:02:54.183839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T10:02:54.183839Z digest=sha256:bd57c1aa9786f2ba2d3ed34627581eb7d5d6a6038f257cc60461794bcbfb8d78

Observation 93828802-0168-4c47-8990-3c39e2895d4b · outbound

This paper cites Dexman: Learning bimanual dexterous manipulation from human and generated videos.

LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition Dexman: Learning bimanual dexterous manipulation from human and generated videos

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-07-03T10:27:56.209450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T10:02:54.183839Z digest=sha256:db157634dd20caf061fd61d27d321d39abb51ff2fc71ffad50764df4bb390230

Observation 2efe060c-6525-4b5b-b9ac-7a74e0d50cf7 · outbound

This paper cites Deximit: Learning bimanual dexterous manipulation from monocular human videos,.

LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition Deximit: Learning bimanual dexterous manipulation from monocular human videos,

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-07-03T10:27:56.236987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T10:02:54.183839Z digest=sha256:c6c07bea78b2e6e89b499352c1c607137d9248db9f1cc0c5ae00d833fe1996f4

Observation 22f05de3-1e6d-4d4e-b623-88e818c23ee1 · outbound

This paper cites Dexterous manipulation policies from rgb human videos via 3d hand-object trajectory reconstruction.

LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition Dexterous manipulation policies from rgb human videos via 3d hand-object trajectory reconstruction

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-07-03T10:27:56.191341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T10:02:54.183839Z digest=sha256:811960fb100b276977ae0dafdcd705cc6bea55f1ecbf1816f9bda2e143353278

Observation ce7f76ef-edfa-4262-9b2e-56c09203b166 · outbound

This paper cites Crossing the Human-Robot Embodiment Gap with Sim-to-Real RL using One Human Demonstration.

LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition Crossing the Human-Robot Embodiment Gap with Sim-to-Real RL using One Human Demonstration

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-07-03T10:27:56.251817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T10:02:54.183839Z digest=sha256:2c0bc07582bc5a77e6d73ae019a4a06ec6ad6bb3ab25d6bbe6d906967d300d7f

Observation a50ed2f5-fbf1-4c1e-a124-956849671d23 · outbound

This paper cites Spider: Scalable physics-informed dexterous retargeting.

LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition Spider: Scalable physics-informed dexterous retargeting

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-07-03T10:27:56.247615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T10:02:54.183839Z digest=sha256:2dbabfa6d90aa0be470ede88782928d59ba4a0ec65cdf577df2d36ee4f4e39c9

Observation ab8978e6-d96e-4f57-8a4e-4cd43b6e09ef · outbound

This paper cites In: 2025 IEEE International Conference on Robotics and Automation (ICRA), pp.

LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition In: 2025 IEEE International Conference on Robotics and Automation (ICRA), pp

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-06-27T10:10:48.814183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T10:02:54.183839Z digest=sha256:4ce52e90a7aedc13feb44aa3db7a1759dc955d7cc424fb0e905c362218e83a4e

Observation 5329e2b1-7fe2-4aed-8726-d79cc0fc6204 · outbound

This paper cites Lepert, J.

LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition Lepert, J

Reference 26

Resolution
unresolved
no resolver link, observed 2026-06-27T10:02:54.183839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T10:02:54.183839Z digest=sha256:6c9bc3d4f9d48be307faff1813a7ce50b2ae263fc1ea5993b86d9d53801abfaf

Observation 1de80736-ae8a-406f-ac33-5f63b4f7161f · outbound

This paper cites HumanEgo: Zero-Shot Robot Learning from Minutes of Human Egocentric Videos.

LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition HumanEgo: Zero-Shot Robot Learning from Minutes of Human Egocentric Videos

Reference 27

Resolution
verified exact
local_arxiv, observed 2026-07-03T10:27:56.263912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T10:02:54.183839Z digest=sha256:17087bb8c7a0382a94a0d075f62b3bf29a776933957d95e77a3a01d46073cc0b

Observation 3aff670a-47e5-4eda-bc97-98e34e125bb1 · outbound

This paper cites Point Policy: Unifying Observations and Actions with Key Points for Robot Manipulation.

LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition Point Policy: Unifying Observations and Actions with Key Points for Robot Manipulation

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-07-03T10:27:56.206465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T10:02:54.183839Z digest=sha256:8f5681ff62e56b7711ee9237d42958ddd6f22219634c2b9eb0deae8de30cc57f

Observation e4dcb349-a024-4d81-b38c-50cc9d999b17 · outbound

This paper cites In: 2025 IEEE International Conference on Robotics and Automation (ICRA), pp.

LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition In: 2025 IEEE International Conference on Robotics and Automation (ICRA), pp

Reference 29

Resolution
metadata mismatch
arxiv_id, observed 2026-06-27T10:10:48.817450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T10:02:54.183839Z digest=sha256:9c42962a1b3b1a8da6dd47d35de8e2f4c9fe205dea1ceea8a28bef3fa4e7dda5

Observation ed9ab0b8-e0cd-4ce5-835b-e138f3775e87 · outbound

This paper cites Bharadhwaj, R.

LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition Bharadhwaj, R

Reference 30

Resolution
unresolved
no resolver link, observed 2026-06-27T10:02:54.183839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T10:02:54.183839Z digest=sha256:f3ea667f3f0848b3fbd109879077b30ea879dacaca761489447bc1762440f294

Observation 6b98c9c8-173a-4c56-8864-74c30b6b1246 · outbound

This paper cites Liang, R.

LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition Liang, R

Reference 31

Resolution
unresolved
no resolver link, observed 2026-06-27T10:02:54.183839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T10:02:54.183839Z digest=sha256:91a9fc57243ebc9e272a7cc3766ca99dc10651c4418f4e4ad90d65c8d538dade

Observation 11837806-2fca-4830-935f-81e9e8d0c56e · outbound

This paper cites mimic-video: Video-Action Models for Generalizable Robot Control Beyond VLAs.

LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition mimic-video: Video-Action Models for Generalizable Robot Control Beyond VLAs

Reference 32

Resolution
verified exact
local_arxiv, observed 2026-07-03T10:27:56.214814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T10:02:54.183839Z digest=sha256:178dc90799d030170763031845fe2b677daec0dfa32af013ff462416818f2ad8

Observation fe6b992a-6a70-4fa6-8337-5a1755adb557 · outbound

This paper cites World models can leverage human videos for dexterous manipulation.

LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition World models can leverage human videos for dexterous manipulation

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-07-03T10:27:56.258361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T10:02:54.183839Z digest=sha256:cb08e7ce7388907dcd8e23c0469ae7df40b1c5dacf2de63abc924dc265262bc0

Observation 298cf556-cb5c-4894-999f-022d3384d7d3 · outbound

This paper cites Routray, H.

LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition Routray, H

Reference 34

Resolution
unresolved
no resolver link, observed 2026-06-27T10:02:54.183839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T10:02:54.183839Z digest=sha256:4a8b5ad2e022815264d95354ad750423748e182afdf31fe280a4fc6e5bfd5e8e

Observation bfee454c-5b31-4cba-9671-a3779d34a43c · outbound

This paper cites Being-H0: Vision-Language-Action Pretraining from Large-Scale Human Videos.

LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition Being-H0: Vision-Language-Action Pretraining from Large-Scale Human Videos

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-07-03T10:27:56.220598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T10:02:54.183839Z digest=sha256:90e4d00d90c6f9097552867fde361aebfb005ee8914ebf4f5ca1640ef2c85254

Observation 137ea8cc-3273-4a31-a5e9-ec54aa833e16 · outbound

This paper cites Yoon, Ryan Hoque, Lars Paulsen, Ge Yang, Jian Zhang, Sha Yi, Guanya Shi, and Xiaolong Wang.

LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition Yoon, Ryan Hoque, Lars Paulsen, Ge Yang, Jian Zhang, Sha Yi, Guanya Shi, and Xiaolong Wang

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-07-03T10:27:56.254921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T10:02:54.183839Z digest=sha256:9f1c7f911fe2cc29cfb262d000074962f97eb619d83020910e2e8577709ea84e

Observation ccc259b1-1094-49f7-9d6e-f222ebc55d83 · outbound

This paper cites EgoVLA: Learning Vision-Language-Action Models from Egocentric Human Videos.

LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition EgoVLA: Learning Vision-Language-Action Models from Egocentric Human Videos

Reference 37

Resolution
verified exact
local_arxiv, observed 2026-07-03T10:27:56.197162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T10:02:54.183839Z digest=sha256:a7e9c18ce0b9456bd698185d46c1d77a0e9654d5374c09214ca4a9a8e8673c4b

Observation 1cab4ca5-0db9-46f0-9cb6-1e2e065ce819 · outbound

This paper cites Kareer, D.

LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition Kareer, D

Reference 38

Resolution
unresolved
no resolver link, observed 2026-06-27T10:02:54.183839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T10:02:54.183839Z digest=sha256:b119aba5da149b0ea0160a53678d82957fe1ff614434a9ef2ab3f44d2f43dc46

Observation 46f9eb45-a6b5-4408-b951-a9b8f0b0ee12 · outbound

This paper cites Scalable vision-language-action model pretraining for robotic manipulation with real-life human activity videos.

LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition Scalable vision-language-action model pretraining for robotic manipulation with real-life human activity videos

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-07-03T10:27:56.241994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T10:02:54.183839Z digest=sha256:2072845e90480aca57f3cc44aae23be9a89ebeec71faa1bf0297d2e91151f57d

Observation 59a9b052-7302-43c7-9151-5ba2f90ed83b · outbound

This paper cites Masquerade: Learning from In-the-wild Human Videos using Data-Editing.

LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition Masquerade: Learning from In-the-wild Human Videos using Data-Editing

Reference 40

Resolution
verified exact
local_arxiv, observed 2026-07-03T10:27:56.167603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T10:02:54.183839Z digest=sha256:4aa7b6d931e0aeda4cb2458e7d5d7f98883969396369dff5c7835c0ab99e705d

Observation 0f95bac9-43ee-434c-ae4b-f4d90a028d4a · outbound

This paper cites In: 2025 IEEE International Conference on Robotics and Automation (ICRA), pp.

LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition In: 2025 IEEE International Conference on Robotics and Automation (ICRA), pp

Reference 41

Resolution
metadata mismatch
arxiv_id, observed 2026-06-27T10:10:48.790638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T10:02:54.183839Z digest=sha256:8c0ea217dbb2bb5b67e00e4c433466fdf4eb630c7333eb9f9ac80d5e37bc891e

Observation ab62b0f5-ef91-4a9e-916b-b2ba9f9a284c · outbound

This paper cites AMPLIFY: Actionless Motion Priors for Robot Learning from Videos.

LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition AMPLIFY: Actionless Motion Priors for Robot Learning from Videos

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-07-03T10:27:56.241904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T10:02:54.183839Z digest=sha256:d11c6e38e8811799aaa511e7ce1d92154c496004ade585c5b00a0224a407cbab

Observation 449ce087-0412-44d2-900a-5e835712be83 · outbound

This paper cites Semi-supervised segmentation of histopathology images with noise-aware topological consistency,.

LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition Semi-supervised segmentation of histopathology images with noise-aware topological consistency,

Reference 43

Resolution
verified exact
doi, observed 2026-06-27T10:10:48.820107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T10:02:54.183839Z digest=sha256:201d59185a4228b1d269beb7d1d4e0c1d38a6560cef1c0adc7fc0e3ec7dba28c

Observation 53cd40f3-22b0-4a9d-8edc-e46a74fca553 · outbound

This paper cites Dasari, A.

LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition Dasari, A

Reference 44

Resolution
unresolved
no resolver link, observed 2026-06-27T10:02:54.183839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T10:02:54.183839Z digest=sha256:9d72f9f72ce636bdade099678f446c5ea3c8b8a7a00101980e1f2cd597330d9a

Observation 19c8cbeb-ee60-4147-a01d-66acd4d20ec8 · outbound

This paper cites an unresolved cited work.

LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition Unresolved cited work

Reference 45

Resolution
unresolved
no resolver link, observed 2026-06-27T10:02:54.183839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T10:02:54.183839Z digest=sha256:17949bce82a551d023299498ea90113d7227e1eb7be2b9a711edd5ae00880083

Observation 2eb510d0-e7c5-4cf8-a8db-7c2f3b81df21 · outbound

This paper cites DexMachina: Functional Retargeting for Bimanual Dexterous Manipulation.

LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition DexMachina: Functional Retargeting for Bimanual Dexterous Manipulation

Reference 46

Resolution
verified exact
arxiv_id, observed 2026-07-03T10:27:56.229212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T10:02:54.183839Z digest=sha256:c2d355972454cdfe43ecb32b26d2dacb7e464089f82f3ccd700e7e92fd60aa02

Observation 6a16cd12-340f-459e-b048-c7e3dfff0e1a · outbound

This paper cites DexterityGen: Foundation Controller for Unprecedented Dexterity.

LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition DexterityGen: Foundation Controller for Unprecedented Dexterity

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-07-03T10:27:56.234056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T10:02:54.183839Z digest=sha256:6ce9c59d6b757d4761b5f6442e829db600ea1ee00351b3191da3de5508c4592d

Observation 9ac29900-43e5-4616-96ab-e869768146ff · outbound

This paper cites an unresolved cited work.

LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition Unresolved cited work

Reference 48

Resolution
unresolved
no resolver link, observed 2026-06-27T10:02:54.183839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T10:02:54.183839Z digest=sha256:6872306573b392169c3079031ccc1a89f798e57c182a96d24f91f26844906f9f

Observation 274a519a-8950-4024-a860-2968045690fc · outbound

This paper cites an unresolved cited work.

LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition Unresolved cited work

Reference 49

Resolution
unresolved
no resolver link, observed 2026-06-27T10:02:54.183839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T10:02:54.183839Z digest=sha256:f9667ba127d513513943753c8d0fc0c38bfa21f59862b0240f0a2a8a078995c3

Observation 1aa7d1d4-272a-4641-9bf6-4376a7d2c90e · outbound

This paper cites Seita, Y.

LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition Seita, Y

Reference 50

Resolution
unresolved
no resolver link, observed 2026-06-27T10:02:54.183839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T10:02:54.183839Z digest=sha256:40e9b8d28b727abc9fb4c5c0c1ecc43caf771241fe1f653d41310779f0bd4605

Observation f4ad829f-99b5-4ab2-9ddb-8ee21393a31f · outbound

This paper cites Zheng, Y.

LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition Zheng, Y

Reference 51

Resolution
unresolved
no resolver link, observed 2026-06-27T10:02:54.183839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T10:02:54.183839Z digest=sha256:2e7ef3f5b490bee12c6fbd3adbf11cadeb7d3608242c3ec17b0764af369e0694

Observation 48328e94-2eae-4636-b15b-c292190ae53e · outbound

This paper cites arXiv preprint arXiv:2601.03782 (2026).

LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition arXiv preprint arXiv:2601.03782 (2026)

Reference 52

Resolution
verified exact
arxiv_id, observed 2026-07-03T10:27:56.211871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T10:02:54.183839Z digest=sha256:788298b6261d82a925cb586a75716524f07b888087231e8ee6a90a1fd98bc246

Observation 8b677583-05af-4478-a6b9-4b5edc1724af · outbound

This paper cites Mandikal and K.

LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition Mandikal and K

Reference 53

Resolution
unresolved
no resolver link, observed 2026-06-27T10:02:54.183839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T10:02:54.183839Z digest=sha256:e71f05b4b4c7f70c72cb3d4e174c0262bae2defeb4db670549e6d242b4a1857e

Observation 3d56fd66-fb3a-4af6-9c78-ac6ea65a7ff4 · outbound

This paper cites Large Video Planner Enables Generalizable Robot Control.

LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition Large Video Planner Enables Generalizable Robot Control

Reference 54

Resolution
verified exact
local_arxiv, observed 2026-07-03T10:27:56.231445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T10:02:54.183839Z digest=sha256:ada70e6669ff134da21066b65925056c92e7fbb959f3013cb488baab2a968474

Observation ec00307a-f18f-415b-b585-2f73aca849a0 · outbound

This paper cites Karaev, Y.

LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition Karaev, Y

Reference 55

Resolution
unresolved
no resolver link, observed 2026-06-27T10:02:54.183839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T10:02:54.183839Z digest=sha256:8621a26793873772ebc64bd5bf9afb1be4c15d4c265cb0fc5d448b52f14dcf2a

Observation f0d50647-0b7b-47b2-9ae0-800d7e9b6126 · outbound

This paper cites DINOv3.

LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition DINOv3

Reference 56

Resolution
verified exact
local_arxiv, observed 2026-07-03T10:27:56.169882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T10:02:54.183839Z digest=sha256:7361451b235da8c868d790dc4b1159d2dba3ea8db4181fa940c5ebabff8744cf

Observation ab00e578-c912-4d11-8b1f-ceb461c80c9d · outbound

This paper cites an unresolved cited work.

LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition Unresolved cited work

Reference 57

Resolution
unresolved
no resolver link, observed 2026-06-27T10:02:54.183839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T10:02:54.183839Z digest=sha256:e4f54bd6908cd2b5cff0e161a2752ea496687f891adde06c6001da04bd305f7a

Observation 6c4129a8-63c8-4ee6-9a3a-ce8a21bc1ac1 · outbound

This paper cites Action100m: A large-scale video action dataset.

LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition Action100m: A large-scale video action dataset

Reference 58

Resolution
verified exact
arxiv_id, observed 2026-07-03T10:27:56.258968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T10:02:54.183839Z digest=sha256:7949debc8cba0e77e44526769b47c0a6087140c558aa9a8141773edfab2d440d

Observation 3dba58b7-c19c-43a4-956e-5fc3c1b9912d · outbound

This paper cites some- thing something.

LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition some- thing something

Reference 59

Resolution
unresolved
no resolver link, observed 2026-06-27T10:02:54.183839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T10:02:54.183839Z digest=sha256:53facde2de858def6f601fed50241cd0d91a8f5a4e7909a610dc4e2c3fe01e05

Observation 9b45c1ac-2c09-4e95-a1d8-0e86d6075365 · outbound

This paper cites Rescaling egocentric vision: Collection, pipeline and challenges for epic-kitchens-100.International Journal of Computer Vision (IJCV).

LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition Rescaling egocentric vision: Collection, pipeline and challenges for epic-kitchens-100.International Journal of Computer Vision (IJCV)

Reference 60

Resolution
verified exact
doi, observed 2026-06-27T10:10:48.824368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T10:02:54.183839Z digest=sha256:92ef433ab82bbe2bcfd9cd6e780f55a310ff46a7639aa68a5919b778196c4780

Observation 2a42b90b-6bee-4b8e-bf7b-51aca9257bf0 · outbound

This paper cites ViPE: Video Pose Engine for 3D Geometric Perception.

LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition ViPE: Video Pose Engine for 3D Geometric Perception

Reference 61

Resolution
verified exact
local_arxiv, observed 2026-07-03T10:27:56.256556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T10:02:54.183839Z digest=sha256:f4a74e41fa0ad56745be30d15cc15720b4427d062f0276e658540274e2e2b4e4

Observation b70f62c2-86df-43bd-b3fe-97d5a67d94da · outbound

This paper cites SAM 3: Segment Anything with Concepts.

LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition SAM 3: Segment Anything with Concepts

Reference 62

Resolution
verified exact
local_arxiv, observed 2026-07-03T10:27:56.254068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T10:02:54.183839Z digest=sha256:6b366e71c1ddc0e32666ff8e0e2515bc197a29828bc3276d660d15d695615607

Observation d45dd23a-6651-4e41-ad32-8d59bcb8cc6e · outbound

This paper cites DELTAv2: Accelerating dense 3D tracking.

LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition DELTAv2: Accelerating dense 3D tracking

Reference 63

Resolution
verified exact
arxiv_id, observed 2026-07-03T10:27:56.244633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T10:02:54.183839Z digest=sha256:eb893ea304696aa5ef3d436a36cb63a635bf8fb8810a938dec7a7d51f3ac3814

Observation e22aec0e-3aad-4a69-a53c-a52379eb73fb · outbound

This paper cites an unresolved cited work.

LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition Unresolved cited work

Reference 64

Resolution
unresolved
no resolver link, observed 2026-06-27T10:02:54.183839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T10:02:54.183839Z digest=sha256:71b58811e9b280d993d0ebbacb2c9b7c58c0da3cfae65c3c4a0534ce8c0178e3

Observation 328c247f-7920-4f84-9507-38e3b7851845 · outbound

This paper cites Metasilicone: Design and fabrication of composite silicone with desired mechanical properties.

LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition Metasilicone: Design and fabrication of composite silicone with desired mechanical properties

Reference 65

Resolution
metadata mismatch
arxiv_id, observed 2026-06-27T10:10:48.804025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T10:02:54.183839Z digest=sha256:e80a40f3cca8c7ec575c311d9eb4cd83744f4d5fed78e6ad7a6d90be7654c4c4

Observation 9eea2924-abd2-4fa4-8a72-9e461ea787de · outbound

This paper cites Isaac Lab: A GPU-Accelerated Simulation Framework for Multi-Modal Robot Learning.

LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition Isaac Lab: A GPU-Accelerated Simulation Framework for Multi-Modal Robot Learning

Reference 66

Resolution
verified exact
local_arxiv, observed 2026-07-03T10:27:56.261376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T10:02:54.183839Z digest=sha256:b59ff1f99ab31a0e5c254b92cafcbcd33cab39785642201621461cf9d78e49b7

Observation 8492e4c3-4f06-4cf7-b82d-6a688551d063 · outbound

This paper cites Ciocarlie, C.

LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition Ciocarlie, C

Reference 67

Resolution
verified exact
arxiv_id, observed 2026-06-27T10:10:48.817687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T10:02:54.183839Z digest=sha256:3642c1ad350db2b5590ec53f8f7e10fa2471bead666dcbfca5ae029967a808b2

Observation d196744f-a519-4801-97eb-b0d3be6986b6 · outbound

This paper cites an unresolved cited work.

LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition Unresolved cited work

Reference 68

Resolution
unresolved
no resolver link, observed 2026-06-27T10:02:54.183839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T10:02:54.183839Z digest=sha256:78d04e3cb633f88c5e146937563958a0e597a090f3ae79ec1723b93e83e73db3

Observation 548aa72f-d408-4ccc-8a93-88511745b6b2 · outbound

This paper cites Attention-based map encoding for learning generalized legged locomotion.

LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition Attention-based map encoding for learning generalized legged locomotion

Reference 69

Resolution
verified exact
doi, observed 2026-06-27T10:10:48.809273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T10:02:54.183839Z digest=sha256:273a7737170ef9796311ee0b7e8256908fcd05e0056de4ccfc771bbf092711ab

Observation 2353e94c-feb3-4273-a7d3-305764baab6c · outbound

This paper cites Proximal Policy Optimization Algorithms.

LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition Proximal Policy Optimization Algorithms

Reference 70

Resolution
verified exact
local_arxiv, observed 2026-07-03T10:27:56.239229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T10:02:54.183839Z digest=sha256:c2770be72e492718eae9976bbe5e3665dca220f89459284397841ee7eb64dc6b

Observation 8d0e4258-1c51-482f-8281-905309c3c237 · outbound

This paper cites Solving Rubik's Cube with a Robot Hand.

LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition Solving Rubik's Cube with a Robot Hand

Reference 71

Resolution
verified exact
local_arxiv, observed 2026-07-03T10:27:56.263185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T10:02:54.183839Z digest=sha256:ef4a8f0ac9ab0d91dd2fc313122f3137acc00210aa270c398dffcc64971f4088

Observation 8ed609fb-1647-4226-88c1-924c49947d47 · outbound

This paper cites Perceptive Humanoid Parkour: Chaining Dynamic Human Skills via Motion Matching.

LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition Perceptive Humanoid Parkour: Chaining Dynamic Human Skills via Motion Matching

Reference 72

Resolution
verified exact
local_arxiv, observed 2026-07-03T10:27:56.266469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T10:02:54.183839Z digest=sha256:8cc305bb54fd82ee657b55edd174a10493c4c2c1cc6f8087b716eeb71fba8dee

Observation 0b1c9e1c-7b6e-4075-9431-131ad39057d4 · outbound

This paper cites Handa, T.

LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition Handa, T

Reference 73

Resolution
verified exact
arxiv_id, observed 2026-06-27T10:10:48.812821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T10:02:54.183839Z digest=sha256:6000f2876550f94421d2104c4601f5f62eaa92d3e8527674d1091cbb5d452312

Observation 985fc8ba-d640-4753-abb2-c907aa08a856 · outbound

This paper cites Veo 3 model card.https://storage.googleapis.com/ deepmind-media/Model-Cards/Veo-3-Model-Card.pdf, 2026.

LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition Veo 3 model card.https://storage.googleapis.com/ deepmind-media/Model-Cards/Veo-3-Model-Card.pdf, 2026

Reference 74

Resolution
unresolved
no resolver link, observed 2026-06-27T10:02:54.183839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T10:02:54.183839Z digest=sha256:6da944c7c298d63855fa24ed4f33c9aa4697081d811981dbd3e944fba6f81b27

Observation 0266cf3c-c84a-48d9-b961-3e3de379acc1 · outbound

This paper cites Diffusion Policy: Visuomotor Policy Learning via Action Diffusion.

LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition Diffusion Policy: Visuomotor Policy Learning via Action Diffusion

Reference 75

Resolution
verified exact
doi, observed 2026-06-27T10:10:48.801186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T10:02:54.183839Z digest=sha256:8c6275ebe423d2d75a2c5477c01db1ff09c5b91372b902691021dcad6cf35dc4

Observation 64d8ff29-7e2f-49f2-81fe-261f1d2b608a · outbound

This paper cites Viral: Visual sim-to-real at scale for humanoid loco-manipulation.

LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition Viral: Visual sim-to-real at scale for humanoid loco-manipulation

Reference 76

Resolution
verified exact
arxiv_id, observed 2026-07-03T10:27:56.223089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T10:02:54.183839Z digest=sha256:7a9019c89e657de8c14d22d68be9fbd7459a5a930fae7c8661c0d49c48b268ba

Observation 6809f815-de4d-4357-8faf-4b323acac986 · outbound

This paper cites an unresolved cited work.

LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition Unresolved cited work

Reference 77

Resolution
unresolved
no resolver link, observed 2026-06-27T10:02:54.183839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T10:02:54.183839Z digest=sha256:4cef1cd887c01fb5d2cb192981f80f0971208876fe06fed23e425dcff9575a09

Observation 5a219f98-20b0-43f1-adff-afade151ed96 · outbound

This paper cites Makoviichuk and V.

LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition Makoviichuk and V

Reference 78

Resolution
unresolved
no resolver link, observed 2026-06-27T10:02:54.183839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T10:02:54.183839Z digest=sha256:7475e15df0d9240a6b07408b780071c5444e0eebffead7cfe336f85dfa937499

Observation add83715-6818-4920-ba35-411c23c0841d · outbound

This paper cites u ger, Robert and Hellstr \.

LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition u ger, Robert and Hellstr \

Reference 79

Resolution
verified exact
doi, observed 2026-06-27T10:10:48.811231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T10:02:54.183839Z digest=sha256:870a80c84f1b7218452c00dc6ee5b051006dc2c10dddd37cfd5bae9927a89438

Observation 21063cc8-4915-4444-ba4d-6eaf2229cc0c · outbound

This paper cites Fast-foundationstereo: Real-time zero-shot stereo matching.

LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition Fast-foundationstereo: Real-time zero-shot stereo matching

Reference 80

Resolution
verified exact
arxiv_id, observed 2026-07-03T10:27:56.228474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T10:02:54.183839Z digest=sha256:047b3b9c5fc2cc97b6568d152ede002ada9749dbfe937af165f246d349fa878d

Pith citing papers

No inbound Pith citation observations are available.