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Paper Citation Record · LEDGER

Rethinking the Objectives of Vector-Quantized Tokenizers for Image Synthesis

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2212.03185.

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

pith.paper-citation-record.v1
2212.03185 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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T04:47:30.334536Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-09T04:47:31.129267Z

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 34a3c264-4b60-4807-8bb5-2c4553194f57 · inbound

Masked Autoencoders Are Effective Tokenizers for Diffusion Models cites this paper.

Masked Autoencoders Are Effective Tokenizers for Diffusion Models Rethinking the Objectives of Vector-Quantized Tokenizers for Image Synthesis

Reference 11

Resolution
metadata mismatch
local_arxiv, observed 2026-08-09T04:47:31.134178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T04:47:30.334536Z digest=sha256:da2e04d8648fa5121dec485bca1dd7bf2896eb3868f3a9a7c54fff873a57f6e6

Observation d5d9a4f7-e75b-4904-8c8a-acb58851b824 · inbound

Bayesian Inference of Discretization Error Means in ODEs via Ensemble Kalman Filtering cites this paper.

Bayesian Inference of Discretization Error Means in ODEs via Ensemble Kalman Filtering Rethinking the Objectives of Vector-Quantized Tokenizers for Image Synthesis

Reference 186

Resolution
unresolved
no resolver link, observed 2026-08-01T13:39:44.182273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T13:39:44.182273Z digest=sha256:976bac8d04793a0449a7422a244c62ff516b539150e0b728cf0aa297cd574b10