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Paper Citation Record · LEDGER

MAGE: MAsked Generative Encoder to Unify Representation Learning and Image Synthesis

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2211.09117.

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

pith.paper-citation-record.v1
2211.09117 v2

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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:43:03.652275Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T22:43:05.849259Z

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 5cc0ecfc-1e53-43d2-ab8b-eca38efb213d · inbound

Instella-T2I: Pushing the Limits of 1D Discrete Latent Space Image Generation cites this paper.

Instella-T2I: Pushing the Limits of 1D Discrete Latent Space Image Generation MAGE: MAsked Generative Encoder to Unify Representation Learning and Image Synthesis

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-08-06T22:43:05.895490Z

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=2026-08-06T22:43:03.652275Z digest=sha256:726444bfa5ac442b914fd1e58a21638d481cb0ff5ca6ddaf43d0172352979983

Observation b90c1fea-d017-40a4-8b86-c7722c51034b · inbound

MSAM: Multi-Semantic Adaptive Mining for Cross-Modal Drone Video-Text Retrieval cites this paper.

MSAM: Multi-Semantic Adaptive Mining for Cross-Modal Drone Video-Text Retrieval MAGE: MAsked Generative Encoder to Unify Representation Learning and Image Synthesis

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-04T09:27:30.136040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T09:27:30.136040Z digest=sha256:bd898273668ab499388fa7b0d60d231365015658e6cf1f96c03c9095f236a882