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Paper Citation Record · LEDGER

VideoMAE V2: Scaling Video Masked Autoencoders with Dual Masking

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2303.16727.

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

pith.paper-citation-record.v1
2303.16727 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 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 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:18:16.679916Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T00:07:28.694625Z

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 ac01f6f4-c4c3-4b0f-9503-e4d6cda18afe · inbound

CuriosAI Submission to the EgoExo4D Proficiency Estimation Challenge 2025 cites this paper.

CuriosAI Submission to the EgoExo4D Proficiency Estimation Challenge 2025 VideoMAE V2: Scaling Video Masked Autoencoders with Dual Masking

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-06T19:18:16.679916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:18:16.679916Z digest=sha256:c8179c1fbc56f918ec961bc7a7294f6ec46c45638264978dcb0d87833bb913a6

Observation 06bfa572-b497-4805-9795-6453d48c3512 · inbound

Infinite Video Understanding cites this paper.

Infinite Video Understanding VideoMAE V2: Scaling Video Masked Autoencoders with Dual Masking

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-06T18:10:13.711528Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:10:13.711528Z digest=sha256:e3f9355b8058fe54ae4975aa2554c1409ea1433d5b0dd023e421c888e32d4e84

Observation 03c8e8ed-efbb-4f9e-9437-ce53ce409dd2 · inbound

A Survey on Efficiency Optimization Techniques for DNN-based Video Analytics: Process Systems, Algorithms, and Applications cites this paper.

A Survey on Efficiency Optimization Techniques for DNN-based Video Analytics: Process Systems, Algorithms, and Applications VideoMAE V2: Scaling Video Masked Autoencoders with Dual Masking

Reference 145

Resolution
unresolved
no resolver link, observed 2026-08-06T15:30:20.041464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:30:20.041464Z digest=sha256:252bc8375d1363073d9826a94ed818d7914c70e745c320bd6a541cd4e4cdc1aa

Observation a5879d54-9d50-443d-a7c2-e1bf4bb4ae74 · inbound

Kandinsky 5.0: A Family of Foundation Models for Image and Video Generation cites this paper.

Kandinsky 5.0: A Family of Foundation Models for Image and Video Generation VideoMAE V2: Scaling Video Masked Autoencoders with Dual Masking

Reference 83

Resolution
unresolved
no resolver link, observed 2026-08-03T21:34:17.047162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T21:34:17.047162Z digest=sha256:93f509d04a3128ce6ee1078586ddf307a5685945a316e59b742b881dab238ca4

Observation 75e7d221-5106-4a4a-91b6-06c89ad2b018 · inbound

SignMAE: Segmentation-Driven Self-Supervised Learning for Sign Language Recognition cites this paper.

SignMAE: Segmentation-Driven Self-Supervised Learning for Sign Language Recognition VideoMAE V2: Scaling Video Masked Autoencoders with Dual Masking

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-09T05:55:30.853943Z

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=2026-05-08T19:23:07.258575Z digest=sha256:802b8a1fd357f134d4a33af62ee785c574456c1664633516773ea8d99ce548b2

Observation e2640717-000e-4989-8854-8bf1b83b2762 · inbound

The TIME Machine: On The Power of Motion for Efficient Perception cites this paper.

The TIME Machine: On The Power of Motion for Efficient Perception VideoMAE V2: Scaling Video Masked Autoencoders with Dual Masking

Reference 45

Resolution
verified exact
arxiv_id, observed 2026-05-25T05:46:39.997477Z

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=2026-05-25T05:40:33.752341Z digest=sha256:7bf4b661c1599f8d3bbb9df5381a6892c27f31f3b7c0083a04ea3ffb6988e84f

Observation 70c7fac8-ebe2-4089-b2da-e4358d44830c · inbound

The TIME Machine: On The Power of Motion for Efficient Perception cites this paper.

The TIME Machine: On The Power of Motion for Efficient Perception VideoMAE V2: Scaling Video Masked Autoencoders with Dual Masking

Reference 45

Resolution
unresolved
no resolver link, observed 2026-07-15T11:06:23.089564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-15T11:06:23.089564Z digest=sha256:9c926e4519659f6cf5955b41bea534c5036d221e557fef1cb3a7be28dcf34adc

Observation 71ac9f83-c203-49c2-be6b-ddf74061dcb7 · inbound

The TIME Machine: On The Power of Motion for Efficient Perception cites this paper.

The TIME Machine: On The Power of Motion for Efficient Perception VideoMAE V2: Scaling Video Masked Autoencoders with Dual Masking

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-02T13:27:52.006947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:27:52.006947Z digest=sha256:4ccf010f50ab8e4866de3bf7702553c42e830ae5791e6d327242d8a15d9120a7

Observation 8bd69fad-58c1-4ca7-903c-96536f97707d · inbound

Do Video Foundation Models Understand Intuitive Physics? A Layerwise Probing Analysis cites this paper.

Do Video Foundation Models Understand Intuitive Physics? A Layerwise Probing Analysis VideoMAE V2: Scaling Video Masked Autoencoders with Dual Masking

Reference 20

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T00:07:28.696460Z

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=2026-06-27T17:25:15.493925Z digest=sha256:ae2d679844fe0732ef9d341dcf2563eb8a046b81e25baa08d03773b8d202fcb7

Observation aa068fc4-2f30-4a07-a316-0c71c28afe88 · inbound

Parallel Decoding Distillation for Fast Image and Video Generation cites this paper.

Parallel Decoding Distillation for Fast Image and Video Generation VideoMAE V2: Scaling Video Masked Autoencoders with Dual Masking

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-01T00:57:44.256566Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T00:57:44.256566Z digest=sha256:c5f822346c6411732f1c39ab6aeaf7f1ad994f10a3b81d3940b147cf1b407202