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Paper Citation Record · LEDGER

ViViDex: Learning Vision-based Dexterous Manipulation from Human Videos

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2404.15709.

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

pith.paper-citation-record.v1
2404.15709 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T20:56:47.294465Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T18:25:58.763096Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation edde4887-abf9-4e4d-843c-f659af51bb28 · inbound

DexTrack: Towards Generalizable Neural Tracking Control for Dexterous Manipulation from Human References cites this paper.

DexTrack: Towards Generalizable Neural Tracking Control for Dexterous Manipulation from Human References ViViDex: Learning Vision-based Dexterous Manipulation from Human Videos

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T20:56:47.294465Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T20:56:47.294465Z digest=sha256:e94f6bce5f9d45b785d09495f135923d3b1cb82a401aaff439070250ba97f155

Observation 55546b4e-99b9-49fb-b660-6735fdf631d9 · inbound

Learning Generalizable Robot Policy with Human Demonstration Video as a Prompt cites this paper.

Learning Generalizable Robot Policy with Human Demonstration Video as a Prompt ViViDex: Learning Vision-based Dexterous Manipulation from Human Videos

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T13:51:25.414498Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:51:25.414498Z digest=sha256:48f95ac43745f7255d4a5a79be1424611ff308bb258304591cd7599ff496d2f5

Observation 8998c2a0-98c7-4732-aefb-432affcf5bec · inbound

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

Being-H0: Vision-Language-Action Pretraining from Large-Scale Human Videos ViViDex: Learning Vision-based Dexterous Manipulation from Human Videos

Reference 134

Resolution
unresolved
no resolver link, observed 2026-08-06T15:33:49.119408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:33:49.119408Z digest=sha256:a06c7d5b5414b9ed183bc65821b07cc828fcff86fafdac25e29780ae556e5dc7

Observation e53a89fe-0a92-45c1-a1e6-f9fdec5c3f38 · inbound

VLBiMan: Vision-Language Anchored One-Shot Demonstration Enables Generalizable Bimanual Robotic Manipulation cites this paper.

VLBiMan: Vision-Language Anchored One-Shot Demonstration Enables Generalizable Bimanual Robotic Manipulation ViViDex: Learning Vision-based Dexterous Manipulation from Human Videos

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-18T13:51:25.735773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-18T13:47:30.943307Z digest=sha256:e4056a60341b31a0bb02e1cd3dadb68faa90c18d97827d172144e21462e300c3

Observation 04950bfd-3ffe-4434-93b6-c8fc5f92c909 · inbound

Scaling Cross-Embodiment World Models for Dexterous Manipulation cites this paper.

Scaling Cross-Embodiment World Models for Dexterous Manipulation ViViDex: Learning Vision-based Dexterous Manipulation from Human Videos

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-04T00:28:23.242723Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T00:28:23.242723Z digest=sha256:1057a554b7cec1d47b0367f8a9db5bfc512475d733b9333c33916d85a91ad9c6

Observation a0ed4e98-4ddd-4efa-8695-7878e50cb83d · inbound

DexSynRefine: Synthesizing and Refining Human-Object Interaction Motion for Physically Feasible Dexterous Robot Actions cites this paper.

DexSynRefine: Synthesizing and Refining Human-Object Interaction Motion for Physically Feasible Dexterous Robot Actions ViViDex: Learning Vision-based Dexterous Manipulation from Human Videos

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-11T20:21:12.479776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-08T09:19:28.469433Z digest=sha256:e6ea6abb234179990b354cf7957ccf5d51e6c6f4a29d921b79fda0072059325a

Observation 20cc207c-9c9b-4701-970c-ee0e10e6862d · inbound

DexSynRefine: Synthesizing and Refining Human-Object Interaction Motion for Physically Feasible Dexterous Robot Actions cites this paper.

DexSynRefine: Synthesizing and Refining Human-Object Interaction Motion for Physically Feasible Dexterous Robot Actions ViViDex: Learning Vision-based Dexterous Manipulation from Human Videos

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-06-30T23:45:08.300570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-30T23:39:20.822063Z digest=sha256:06e6d4e06e541e8a1839f94facb435cdef834c8b0223cc4070e765fa3ae1f353

Observation 561a4e7d-1dc1-4b58-9255-25122ed3fa4b · inbound

Support-Constrained RL Enables Real-World Policy Improvement without Real-World Experience cites this paper.

Support-Constrained RL Enables Real-World Policy Improvement without Real-World Experience ViViDex: Learning Vision-based Dexterous Manipulation from Human Videos

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-07-01T18:25:58.764524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-29T01:57:04.293058Z digest=sha256:eb896d30b9d1ce3b032054580f78195a7f746bf0112a12edd4cdcc61f6fc1c8e

Observation a5c2dabb-5ecd-4ed1-85ab-9c33879cb654 · inbound

OmniTacTune: Policy-Agnostic Real-World RL for Tactile Residual Adaptation of Visual Policies cites this paper.

OmniTacTune: Policy-Agnostic Real-World RL for Tactile Residual Adaptation of Visual Policies ViViDex: Learning Vision-based Dexterous Manipulation from Human Videos

Reference 53

Resolution
unresolved
no resolver link, observed 2026-07-12T00:23:04.763773Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T00:23:04.763773Z digest=sha256:5db8dd3bd5d9321861e239e31913a041c8079b34f2ebb119c8fd17b63e859e11