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Paper Citation Record · LEDGER

Vector Quantized Diffusion Model for Text-to-Image Synthesis

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 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 9 of 9 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 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T19:21:56.211831Z

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-11T05:56:10.970591Z digest=sha256:292c2bb3e842b60ebdc6239409763b660fd68bd7969dd1f1e5ea9a13cc8a661c

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T16:55:57.612364Z digest=sha256:2fba18525b54808db1491ee1e4c86a60c3bde44f85f3dbc0baedbc9e7941a515

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-12T04:49:30.873360Z digest=sha256:25793d5879e0291e1de44d51da600e7214824bda14d53160ea76fb2e899a540a

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-13T14:22:16.968028Z digest=sha256:86a52bf86f9c22eb4b01c5d53dd53f19323756d25d66aa73c3540753396158b1

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=sha256:29c055e514ee6182f0d855797e3a0641e74dda8bcb21b1842753c0e2a6d68921

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:deb0223b9e6245b9f90b03891c18b92da757737805c7c14da72c7339a0af53c7

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-18T01:01:36.452125Z digest=sha256:317c209d6467b574e7178b817b2d41fe8bbd0f665cabfb13c411d879173971c1

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-11T02:58:10.909499Z digest=sha256:10e2086a8d8345520c79632b26d52510900f17fb6603bc6c22a907acdaa4a185

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-22T06:44:57.195511Z digest=sha256:cb4c601760b51b35de0c0e120a8b23347c91eab1b0d2c3375ad94213a3e6d775