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Paper Citation Record · LEDGER

Test-Time Training with Masked Autoencoders

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2209.07522.

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

pith.paper-citation-record.v1
2209.07522 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 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T23:24:39.205973Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T14:20:30.151372Z

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 731a20c1-1f67-4d74-b58b-9790c5463de4 · inbound

Tuning Vision Foundation Model via Test-Time Prompt-Guided Training for VFSS Segmentations cites this paper.

Tuning Vision Foundation Model via Test-Time Prompt-Guided Training for VFSS Segmentations Test-Time Training with Masked Autoencoders

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-09T23:24:39.205973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T23:24:39.205973Z digest=sha256:1bce6215feb91f2b5ac2f5ad27f43ad74975829eddbb686e886fc13e6059d68b

Observation afc132ce-1be1-41d5-862a-cf0375bccffc · inbound

Learning Inference Concurrency in DynamicGate MLP Structural and Mathematical Justification cites this paper.

Learning Inference Concurrency in DynamicGate MLP Structural and Mathematical Justification Test-Time Training with Masked Autoencoders

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-10T14:20:30.153915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T14:18:24.015399Z digest=sha256:4c39d9a0bcaed7d747ce805bc54be8aee410974bf733c7e34f13a9ded92e8ddb