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Paper Citation Record · LEDGER

V2Flow: Unifying Visual Tokenization and Large Language Model Vocabularies for Autoregressive Image Generation

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2503.07493.

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

pith.paper-citation-record.v1
2503.07493 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 2026-08-21T06:32:19.484+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:10:40.664888Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-28T22:42:46.027650Z

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 b7b3b827-0a92-4d26-9640-1371687f615d · inbound

Enhancing Reward Models for High-quality Image Generation: Beyond Text-Image Alignment cites this paper.

Enhancing Reward Models for High-quality Image Generation: Beyond Text-Image Alignment V2Flow: Unifying Visual Tokenization and Large Language Model Vocabularies for Autoregressive Image Generation

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-15T18:10:40.664888Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:10:40.664888Z digest=sha256:116d520b2613943a88d0baef9207ce44046d2c13aa50bc56165e59daf8d81e48

Observation 3bfb5acf-a209-41aa-93d6-91d0a8051bc8 · inbound

MergeTok: Unified Continuous and Discrete Visual Tokenization via Token Merging cites this paper.

MergeTok: Unified Continuous and Discrete Visual Tokenization via Token Merging V2Flow: Unifying Visual Tokenization and Large Language Model Vocabularies for Autoregressive Image Generation

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-06-28T22:42:46.029166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-28T22:42:20.280777Z digest=sha256:a524d0fa11e88be567599c82e608c77ec8269221fc96a22e47380fbfc8257fb6