Paper Citation Record · LEDGER

Reusing Computation in Text-to-Image Diffusion for Efficient Generation of Image Sets

As of 7 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2508.21032.

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

pith.paper-citation-record.v1
2508.21032 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T14:43:52.262000Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

38 of 38 outbound references displayed

verified exact1
verified fuzzy25
unresolved11
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 688d4a7d-0058-4735-aceb-774f011109a7 · outbound

This paper cites Adobe firefly, 2023.

Reusing Computation in Text-to-Image Diffusion for Efficient Generation of Image Sets Adobe firefly, 2023

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:44:00.215508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 2bf6014d-460a-4eda-ab33-a63b36bbb85f · outbound

This paper cites Prompting for discovery: Flexible sense-making for ai art- making with dreamsheets.

Reusing Computation in Text-to-Image Diffusion for Efficient Generation of Image Sets Prompting for discovery: Flexible sense-making for ai art- making with dreamsheets

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:43:59.899891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation a05995bd-7f29-4944-91bc-d7da7cccb3ea · outbound

This paper cites Promptify: Text-to-image generation through interactive prompt exploration with large language models.

Reusing Computation in Text-to-Image Diffusion for Efficient Generation of Image Sets Promptify: Text-to-image generation through interactive prompt exploration with large language models

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:43:59.622648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation f1a50294-7be8-4ae8-b4b6-4146d37e51b1 · outbound

This paper cites Large Scale GAN Training for High Fidelity Natural Image Synthesis.

Reusing Computation in Text-to-Image Diffusion for Efficient Generation of Image Sets Large Scale GAN Training for High Fidelity Natural Image Synthesis

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-05T14:43:48.640663Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf1528fb-2268-4438-a53a-bde795fa7dd5 · outbound

This paper cites The prompt artists.

Reusing Computation in Text-to-Image Diffusion for Efficient Generation of Image Sets The prompt artists

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:43:59.355405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 32743fa5-bdf1-4ae1-945b-0261599f1a07 · outbound

This paper cites Prompt Expansion for Adaptive Text-to-Image Generation.

Reusing Computation in Text-to-Image Diffusion for Efficient Generation of Image Sets Prompt Expansion for Adaptive Text-to-Image Generation

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-08-05T14:43:52.533460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation b4a2ef69-3fab-467e-8d07-c113c637b1ff · outbound

This paper cites Scaling recti- fied flow transformers for high-resolution image synthesis.

Reusing Computation in Text-to-Image Diffusion for Efficient Generation of Image Sets Scaling recti- fied flow transformers for high-resolution image synthesis

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-05T14:43:48.958546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 53e18e25-651e-4b1f-a6b2-9662e7e5a622 · outbound

This paper cites Generative adversarial nets.

Reusing Computation in Text-to-Image Diffusion for Efficient Generation of Image Sets Generative adversarial nets

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-05T14:43:49.053411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 82236c69-b439-4611-b4c3-712ba79c7bd4 · outbound

This paper cites Denoising dif- fusion probabilistic models.

Reusing Computation in Text-to-Image Diffusion for Efficient Generation of Image Sets Denoising dif- fusion probabilistic models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-05T14:43:49.171688Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d589290-30d6-4ea8-b294-ff5705509b24 · outbound

This paper cites an unresolved cited work.

Reusing Computation in Text-to-Image Diffusion for Efficient Generation of Image Sets Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-05T14:43:59.060500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 7a29ac66-96c1-49a2-95ac-a658ce092d83 · outbound

This paper cites Scal- ing up gans for text-to-image synthesis.

Reusing Computation in Text-to-Image Diffusion for Efficient Generation of Image Sets Scal- ing up gans for text-to-image synthesis

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:43:58.764664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation f55a9ea3-0767-490c-bb7a-15addc61e99f · outbound

This paper cites Elucidating the design space of diffusion-based generative models.

Reusing Computation in Text-to-Image Diffusion for Efficient Generation of Image Sets Elucidating the design space of diffusion-based generative models

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:43:58.467302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 344d9ecd-5b0b-4373-af29-82b4d1fd19ba · outbound

This paper cites Consistency trajectory mod- els: Learning probability flow ode trajectory of diffusion.

Reusing Computation in Text-to-Image Diffusion for Efficient Generation of Image Sets Consistency trajectory mod- els: Learning probability flow ode trajectory of diffusion

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:43:58.210571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 9028e724-3d33-4e5d-8e56-a6694067a606 · outbound

This paper cites Karlo- v1.0.alpha on coyo-100m and cc15m.https://github.

Reusing Computation in Text-to-Image Diffusion for Efficient Generation of Image Sets Karlo- v1.0.alpha on coyo-100m and cc15m.https://github

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:43:57.948309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 1b15b544-8055-4470-8502-c0d2b6fc4c0a · outbound

This paper cites GenAI-Bench: Evaluating and Improving Compositional Text-to-Visual Generation.

Reusing Computation in Text-to-Image Diffusion for Efficient Generation of Image Sets GenAI-Bench: Evaluating and Improving Compositional Text-to-Visual Generation

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-05T14:43:49.808398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5362daa-1a85-4100-9c0b-a506f01183a6 · outbound

This paper cites SDXL-Lightning: Progressive Adversarial Diffusion Distillation.

Reusing Computation in Text-to-Image Diffusion for Efficient Generation of Image Sets SDXL-Lightning: Progressive Adversarial Diffusion Distillation

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-05T14:43:49.939372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5ce75e1-a4a0-4364-8664-98008f7a9601 · outbound

This paper cites Evaluating text-to-visual generation with image-to-text gen- eration.

Reusing Computation in Text-to-Image Diffusion for Efficient Generation of Image Sets Evaluating text-to-visual generation with image-to-text gen- eration

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:43:57.676454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 0c2cab42-fa6e-4256-a918-3cf10e28a328 · outbound

This paper cites Pseudo Numerical Methods for Diffusion Models on Manifolds.

Reusing Computation in Text-to-Image Diffusion for Efficient Generation of Image Sets Pseudo Numerical Methods for Diffusion Models on Manifolds

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-05T14:43:50.111855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8265badb-8426-43d2-858c-0a0c0b39d3e0 · outbound

This paper cites Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps.

Reusing Computation in Text-to-Image Diffusion for Efficient Generation of Image Sets Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-05T14:43:50.249489Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cacb1daa-531c-421a-89da-237e326e4681 · outbound

This paper cites DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models.

Reusing Computation in Text-to-Image Diffusion for Efficient Generation of Image Sets DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-05T14:43:50.325806Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2393c83-bf05-4a1b-98f2-231a059316f7 · outbound

This paper cites Power hungry processing: Watts driving the cost of ai deployment? In Proceedings of the 2024 ACM conference on fairness, ac- countability, and transparency, 2024.

Reusing Computation in Text-to-Image Diffusion for Efficient Generation of Image Sets Power hungry processing: Watts driving the cost of ai deployment? In Proceedings of the 2024 ACM conference on fairness, ac- countability, and transparency, 2024

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:43:57.375874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 2e76c948-75c3-42a4-9ab5-1c2680368ed5 · outbound

This paper cites Latent consistency models: Synthesizing high- resolution images with few-step inference.

Reusing Computation in Text-to-Image Diffusion for Efficient Generation of Image Sets Latent consistency models: Synthesizing high- resolution images with few-step inference

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:43:57.153040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 7e2bfd52-d604-4786-9e27-baa2db8f890e · outbound

This paper cites Is it ai or is it me? understanding users’ prompt journey with text-to-image generative ai tools.

Reusing Computation in Text-to-Image Diffusion for Efficient Generation of Image Sets Is it ai or is it me? understanding users’ prompt journey with text-to-image generative ai tools

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:43:56.794554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation ba2a6cc0-4608-4493-9a5c-75581eb9cb04 · outbound

This paper cites Midjourney, 2022.

Reusing Computation in Text-to-Image Diffusion for Efficient Generation of Image Sets Midjourney, 2022

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:43:56.451240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 993e895b-042e-4b18-88dc-c65bad06271e · outbound

This paper cites Dall-e, 2021.

Reusing Computation in Text-to-Image Diffusion for Efficient Generation of Image Sets Dall-e, 2021

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:43:56.235976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 41c85ac6-e710-4773-a32e-9a8fb68c304f · outbound

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

Reusing Computation in Text-to-Image Diffusion for Efficient Generation of Image Sets Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-05T14:43:50.861892Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d69381c-4c4e-42e7-970a-45dbc79f8bf7 · outbound

This paper cites Kandinsky: an improved text-to-image syn- thesis with image prior and latent diffusion.EMNLP demoes,.

Reusing Computation in Text-to-Image Diffusion for Efficient Generation of Image Sets Kandinsky: an improved text-to-image syn- thesis with image prior and latent diffusion.EMNLP demoes,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:43:55.973664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 3471d07a-2c2c-4411-9563-654381e3059e · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

Reusing Computation in Text-to-Image Diffusion for Efficient Generation of Image Sets High-resolution image synthesis with latent diffusion models

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:43:55.719961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 82249ba5-790f-4de2-9842-d14f461d21ef · outbound

This paper cites Runway: Ai magic tools, 2022.

Reusing Computation in Text-to-Image Diffusion for Efficient Generation of Image Sets Runway: Ai magic tools, 2022

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:43:55.435831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 49c2191e-4553-4ccd-afa3-30804bb07a03 · outbound

This paper cites Photorealistic text-to-image diffusion models with deep language understanding.

Reusing Computation in Text-to-Image Diffusion for Efficient Generation of Image Sets Photorealistic text-to-image diffusion models with deep language understanding

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:43:55.201263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation ec9e82b8-4318-4a6a-915f-6da0e7c1d4c5 · outbound

This paper cites Progressive distillation for fast sampling of diffusion models.

Reusing Computation in Text-to-Image Diffusion for Efficient Generation of Image Sets Progressive distillation for fast sampling of diffusion models

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:43:54.897470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation f4060c8f-a67e-4ae5-bd69-568214ef449e · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics.

Reusing Computation in Text-to-Image Diffusion for Efficient Generation of Image Sets Deep unsupervised learning using nonequilibrium thermodynamics

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:43:54.699982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 43b3e612-2cf2-4d03-ae15-c27f2c89394e · outbound

This paper cites Denois- ing diffusion implicit models.

Reusing Computation in Text-to-Image Diffusion for Efficient Generation of Image Sets Denois- ing diffusion implicit models

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:43:54.325148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 5de15b58-8888-4f8e-9260-a8d7db6dc7cd · outbound

This paper cites Visual autoregressive modeling: Scalable image generation via next-scale prediction.

Reusing Computation in Text-to-Image Diffusion for Efficient Generation of Image Sets Visual autoregressive modeling: Scalable image generation via next-scale prediction

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:43:54.017523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation f8c245ad-f0d2-4bc3-94a1-4885d85669f1 · outbound

This paper cites Kandinsky 3: Text-to-image synthesis for multifunctional generative framework.

Reusing Computation in Text-to-Image Diffusion for Efficient Generation of Image Sets Kandinsky 3: Text-to-image synthesis for multifunctional generative framework

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:43:53.750704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation e34b5f7c-b0be-4886-8a72-0b8961ae1dba · outbound

This paper cites One-step diffusion with distribution matching distillation.

Reusing Computation in Text-to-Image Diffusion for Efficient Generation of Image Sets One-step diffusion with distribution matching distillation

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:43:53.474486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation e0fcb879-4965-4feb-891c-61f7cbd6bc06 · outbound

This paper cites Improved distribution matching distillation for fast image synthesis.

Reusing Computation in Text-to-Image Diffusion for Efficient Generation of Image Sets Improved distribution matching distillation for fast image synthesis

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:43:53.124025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation c07a7ef7-40e5-4a8d-b3bb-07f056532589 · outbound

This paper cites mean image.

Reusing Computation in Text-to-Image Diffusion for Efficient Generation of Image Sets mean image

Reference 38

Resolution: malformed identifier; raw_fallback, observed 2026-08-05T14:43:52.796194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Pith citing papers

No inbound Pith citation observations are available.