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Paper Citation Record · LEDGER

Vector Quantized Diffusion Model for Text-to-Image Synthesis

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2111.14822.

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

pith.paper-citation-record.v1
2111.14822 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:35:15.474975Z

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

40
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 b761287e-3363-41f5-a8ac-ebd1758aa3b5 · inbound

GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models cites this paper.

GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models Vector Quantized Diffusion Model for Text-to-Image Synthesis

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-11T05:56:11.208916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-11T05:56:10.970591Z digest=sha256:488b08793300b1efcb6381b8acab29eaf2a62a5c2dd749b910dd0caa358e85be

Observation 27b70c5c-f1aa-4ea8-8866-79bd0e85f6f1 · inbound

Hierarchical Text-Conditional Image Generation with CLIP Latents cites this paper.

Hierarchical Text-Conditional Image Generation with CLIP Latents Vector Quantized Diffusion Model for Text-to-Image Synthesis

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-10T16:55:57.808739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-10T16:55:57.612364Z digest=sha256:5d9817597046ad0683ec30ce0f8f246eeb394fa7a0a1355d309ee7bd05e008c4

Observation 3ee3cc0d-44c2-4742-a9a1-e5ad6544a394 · inbound

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation cites this paper.

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation Vector Quantized Diffusion Model for Text-to-Image Synthesis

Reference 49

Resolution
verified exact
arxiv_id, observed 2026-05-12T04:49:31.260695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-12T04:49:30.873360Z digest=sha256:256596d39722cd489c4dc0b7eb0b4c1dc33c6b7b77c31ee7e3c1b70ab0395a3f

Observation 2639c8cc-aa86-4cdb-9214-55ba8781bf43 · inbound

LAION-5B: An open large-scale dataset for training next generation image-text models cites this paper.

LAION-5B: An open large-scale dataset for training next generation image-text models Vector Quantized Diffusion Model for Text-to-Image Synthesis

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-13T14:22:17.217234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-13T14:22:16.968028Z digest=sha256:fd9a195946c5823188a17e255803e0a1995d2eb9cdc0b07879e061fe4f895b21

Observation 5822a77d-c2f4-42fe-900d-169e0d7d1681 · inbound

Panoptic Diffusion Models: co-generation of images and segmentation maps cites this paper.

Panoptic Diffusion Models: co-generation of images and segmentation maps Vector Quantized Diffusion Model for Text-to-Image Synthesis

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-11T23:02:16.173684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T23:02:16.173684Z digest=sha256:c8185f7a270175369437b35166fd2aca9732c3927e60ecada94bc4aef7e64aeb

Observation 62bd8e63-7f8d-4626-b1af-08cf5655b5a7 · inbound

Masked Generative Nested Transformers with Decode Time Scaling cites this paper.

Masked Generative Nested Transformers with Decode Time Scaling Vector Quantized Diffusion Model for Text-to-Image Synthesis

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-09T19:21:56.211831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T19:21:56.211831Z digest=sha256:1a205355afef9b4999ff80aba9c4551569ecdc0aae4d5169c833f676ef070d1c

Observation 5dd749e0-65b2-4e7e-ac16-ea65e7da2f6c · inbound

Image Classification Using a Diffusion Model as a Pre-Training Model cites this paper.

Image Classification Using a Diffusion Model as a Pre-Training Model Vector Quantized Diffusion Model for Text-to-Image Synthesis

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-15T22:35:15.474975Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T22:35:15.474975Z digest=sha256:58c5d027cdfcdd55c01152a29bb99d1683fc4dd78600a4620af029c2c92d2852

Observation c34fecc5-ab2e-4e85-84e3-a256962ac6bc · inbound

Style Composition within Distinct LoRA modules for Traditional Art cites this paper.

Style Composition within Distinct LoRA modules for Traditional Art Vector Quantized Diffusion Model for Text-to-Image Synthesis

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-06T17:02:23.278197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:02:23.278197Z digest=sha256:6cdd6f8966701df1aae4cbc052ae3ba230b651174a07cdfdaa5105279893a474

Observation 0c7ad837-9d34-46a5-8e88-1f5db711d93b · inbound

PercHead: Perceptual Head Model for Single-Image 3D Head Reconstruction & Editing cites this paper.

PercHead: Perceptual Head Model for Single-Image 3D Head Reconstruction & Editing Vector Quantized Diffusion Model for Text-to-Image Synthesis

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-18T01:02:15.315607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-18T01:01:36.452125Z digest=sha256:eb0a0721717b4416568992ffd7f20f58cba9b140678f832a7ed9082fc2822258

Observation 1ffcb047-cee3-4a93-a7cc-0b4fa9cac725 · inbound

Coupling Models for One-Step Discrete Generation cites this paper.

Coupling Models for One-Step Discrete Generation Vector Quantized Diffusion Model for Text-to-Image Synthesis

Reference 57

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T03:00:54.968261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-11T02:58:10.909499Z digest=sha256:76f9e6fca668bb47f3fcadd531b4711521b4ea13799383b97f38bbfa9d365adf

Observation ae32b784-e787-4f5f-bb6e-4f157a8f45f1 · inbound

Uniform Diffusion Models Revisited: Leave-One-Out Denoiser and Absorbing State Reformulation cites this paper.

Uniform Diffusion Models Revisited: Leave-One-Out Denoiser and Absorbing State Reformulation Vector Quantized Diffusion Model for Text-to-Image Synthesis

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-22T06:46:10.816096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-22T06:44:57.195511Z digest=sha256:d98a7989a15ce8faf3e42ba2916309417d2fc94182e21014b22865e9ae0fb2cf