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Paper Citation Record · LEDGER

Towards Latent Masked Image Modeling for Self-Supervised Visual Representation Learning

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2407.15837.

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

pith.paper-citation-record.v1
2407.15837 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:02:14.473655Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation d85a0800-68cc-41b1-a642-0d38a3609505 · inbound

PiLaMIM: Toward Richer Visual Representations by Integrating Pixel and Latent Masked Image Modeling cites this paper.

PiLaMIM: Toward Richer Visual Representations by Integrating Pixel and Latent Masked Image Modeling Towards Latent Masked Image Modeling for Self-Supervised Visual Representation Learning

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-10T22:02:14.473655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:02:14.473655Z digest=sha256:28f8da41c1374cb106d2172de3548e796f3d2b337a75e476859285f55d44c808

Observation a1ed19b0-33c0-4986-907b-c53b73bb40e3 · inbound

Variational Feature Compression for Model-Specific Representations cites this paper.

Variational Feature Compression for Model-Specific Representations Towards Latent Masked Image Modeling for Self-Supervised Visual Representation Learning

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-10T18:40:43.915616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-10T18:38:03.604130Z digest=sha256:fd1183b954d33a51c271d2ff09153a6f202aee060bd05609ab2d694a53ba8e66