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Paper Citation Record · LEDGER

One-Way Ticket:Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models

As of 9 August 2026, this Paper Citation Record lists 87 of 87 outbound references and 0 inbound Pith citation observations for arXiv:2505.21960.

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

pith.paper-citation-record.v1
2505.21960 v1

Coverage vector

measured 87 of 87 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:24:40.211794Z

measured 87 of 87 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 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

87 of 87 outbound references displayed

  • verified exact0
  • verified fuzzy59
  • unresolved26
  • parse uncertain1
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c0fed6ad-27f8-48fc-8c64-cadd047bc9b2 · outbound

This paper cites Token merging for fast sta- ble diffusion.

One-Way Ticket:Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models Token merging for fast sta- ble diffusion

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation e4347150-a182-4c31-a554-0b62c7fc45de · outbound

This paper cites Colorpeel: Color prompt learning with diffusion models via color and shape disentanglement.

One-Way Ticket:Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models Colorpeel: Color prompt learning with diffusion models via color and shape disentanglement

Reference 2

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:24:32.171815Z digest=sha256:bd8a188345705eb6f7f5ddd3c4e1da4201ccd27abadf920b35f01cd4e3e44016

Observation d844e0b4-ffd4-46ee-87ec-4a86a7b80e2e · outbound

This paper cites Q-dit: Ac- curate post-training quantization for diffusion transformers.

One-Way Ticket:Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models Q-dit: Ac- curate post-training quantization for diffusion transformers

Reference 3

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:24:32.317340Z digest=sha256:85340ba2c97e343679f1d662d70d899b468bc9906a7579cf7e576d4ccd5256d7

Observation f12936c4-279a-4ccf-854a-b1cc6ad4751a · outbound

This paper cites $\Delta$-DiT: A Training-Free Acceleration Method Tailored for Diffusion Transformers.

One-Way Ticket:Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models $\Delta$-DiT: A Training-Free Acceleration Method Tailored for Diffusion Transformers

Reference 4

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:24:32.439041Z digest=sha256:1106fa3517f54fa5b78fb71c8f6101c94eabd468b4fabdc28852612b6f039190

Observation ecec133b-db4f-4a4a-9e41-5879800992ff · outbound

This paper cites Asyncdiff: Parallelizing diffusion mod- els by asynchronous denoising.NeurIPS, 2024.

One-Way Ticket:Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models Asyncdiff: Parallelizing diffusion mod- els by asynchronous denoising.NeurIPS, 2024

Reference 5

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:24:32.524024Z digest=sha256:ab79761ef7ad58758b338ef0041454493f17d84db211041ec9d4617df07f4b41

Observation b3ca6abc-aff6-4183-a936-0e509c249bd6 · outbound

This paper cites Stargan v2: Diverse image synthesis for multiple domains.

One-Way Ticket:Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models Stargan v2: Diverse image synthesis for multiple domains

Reference 6

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no resolver link, observed 2026-08-07T13:24:32.656137Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 2c32a49b-70f8-4a62-9ec2-35a6d85a11d7 · outbound

This paper cites Swiftbrush v2: Make your one-step diffusion model better than its teacher.ECCV,.

One-Way Ticket:Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models Swiftbrush v2: Make your one-step diffusion model better than its teacher.ECCV,

Reference 7

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no resolver link, observed 2026-08-07T13:24:32.784220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:24:32.784220Z digest=sha256:a2fe5b176a1f19fcaae1a36ddeb81b4da1a82c2fff07a37e139213e962375598

Observation f76e3f56-6590-498d-afef-f67e504b11bd · outbound

This paper cites DeepFloyd IF.https://www.deepfloyd.

One-Way Ticket:Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models DeepFloyd IF.https://www.deepfloyd

Reference 8

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raw_fallback, observed 2026-08-07T13:24:53.855038Z

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=2026-08-07T13:24:33.026912Z digest=sha256:73c797ba7312283a399691b54f5153cf360a96c031cbf32b4430848701c4b138

Observation 6661cb2e-8684-48be-a213-84acdf147465 · outbound

This paper cites Diffusion models beat gans on image synthesis.Advances in neural informa- tion processing systems, 34:8780–8794, 2021.

One-Way Ticket:Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models Diffusion models beat gans on image synthesis.Advances in neural informa- tion processing systems, 34:8780–8794, 2021

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:24:33.157769Z digest=sha256:a10f235103ee0b137ee1644f9be3c3881ac6690773aad708c360d21bf4a501f2

Observation 9c27eb94-c89d-4c4e-8566-749c6de48f10 · outbound

This paper cites Structural pruning for diffusion models.Advances in neural informa- tion processing systems, 36, 2024.

One-Way Ticket:Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models Structural pruning for diffusion models.Advances in neural informa- tion processing systems, 36, 2024

Reference 10

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raw_fallback, observed 2026-08-07T13:24:53.639982Z

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=2026-08-07T13:24:33.296315Z digest=sha256:48f58273261f206b9fc130e2caa5274d0173c54360ca400c14af527f4b72bd1b

Observation d58ef1ee-eed6-4c91-acb1-05fde63a1e52 · outbound

This paper cites One- step diffusion distillation via deep equilibrium models.

One-Way Ticket:Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models One- step diffusion distillation via deep equilibrium models

Reference 11

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raw_fallback, observed 2026-08-07T13:24:53.474179Z

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=2026-08-07T13:24:33.462051Z digest=sha256:9ead415888b6600c452ddada147be19efe20c03f0e8666e63fac31439ab3e1bb

Observation 635601c9-4c5b-4780-bb8a-5bdcb9a36498 · outbound

This paper cites Tokenflow: Consistent diffusion features for consistent video editing.ICLR, 2024.

One-Way Ticket:Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models Tokenflow: Consistent diffusion features for consistent video editing.ICLR, 2024

Reference 12

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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=2026-08-07T13:24:33.557831Z digest=sha256:592b3292845c36407b198018977954b708366365f6270c5c2b402ab58d7eeeee

Observation 20c15a73-ee58-497d-929e-1ceb5370f62e · outbound

This paper cites Photoswap: Personalized subject swapping in images, 2023.

One-Way Ticket:Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models Photoswap: Personalized subject swapping in images, 2023

Reference 13

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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=2026-08-07T13:24:33.650025Z digest=sha256:77ba9bbefef6c89c7b59cbabe74e04c5cdad744cf3f66f06531d525971b70e6a

Observation a55871e3-c4d9-47dc-b316-eebc8066fe23 · outbound

This paper cites Boot: Data-free distillation of denoising dif- fusion models with bootstrapping.International Conference on Machine Learning, 2023.

One-Way Ticket:Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models Boot: Data-free distillation of denoising dif- fusion models with bootstrapping.International Conference on Machine Learning, 2023

Reference 14

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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=2026-08-07T13:24:33.757921Z digest=sha256:3d740372073f7b847211b92ac18607f09cf5433c27272cd43bceb702f1de13f9

Observation 6c210f76-eee4-4157-99b1-378159facab1 · outbound

This paper cites Prompt-to-prompt image editing with cross attention control.ICLR, 2023.

One-Way Ticket:Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models Prompt-to-prompt image editing with cross attention control.ICLR, 2023

Reference 15

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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=2026-08-07T13:24:33.833769Z digest=sha256:4fd54f1d79d689a84b02fb5e65203e984a88165c1b64ea137b4ff5a351efc3bc

Observation 23af3897-66b8-4e61-8165-fcbea467e5bc · outbound

This paper cites Clipscore: A reference-free evaluation met- ric for image captioning.

One-Way Ticket:Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models Clipscore: A reference-free evaluation met- ric for image captioning

Reference 16

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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=2026-08-07T13:24:33.901494Z digest=sha256:06a9626be32e401d56baf9aa55b7336b81a8c5f9c669797ee786d03a23fac654

Observation 63c13df4-3a89-4568-a762-29dca5eb8c0b · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilib- rium.

One-Way Ticket:Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models Gans trained by a two time-scale update rule converge to a local nash equilib- rium

Reference 17

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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.

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Observation bdc318ac-89b8-4ba2-84b8-8b710129aeab · outbound

This paper cites Distilling the Knowledge in a Neural Network.NIPS Deep Learning Workshop, 2014.

One-Way Ticket:Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models Distilling the Knowledge in a Neural Network.NIPS Deep Learning Workshop, 2014

Reference 18

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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=2026-08-07T13:24:34.048100Z digest=sha256:dcd29d95495d721c5ac7322d3b7223f02bf06c34d815c2f9c5a0f5c97481edaf

Observation 57b30a11-0cc2-4e7a-8773-b547d54566d6 · outbound

This paper cites Denoising diffu- sion probabilistic models.Advances in Neural Information Processing Systems, 33:6840–6851, 2020.

One-Way Ticket:Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models Denoising diffu- sion probabilistic models.Advances in Neural Information Processing Systems, 33:6840–6851, 2020

Reference 19

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Unavailable: canonical work link unavailable.

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Observation bcd02d43-4339-4306-93f8-e60088b0b9cd · outbound

This paper cites Lora: Low-rank adaptation of large language models.ICLR,.

One-Way Ticket:Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models Lora: Low-rank adaptation of large language models.ICLR,

Reference 20

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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=2026-08-07T13:24:34.225305Z digest=sha256:cc4da55e9efe53b09af3b19d23331bd8690bb511accb26e6e76ef6731d86ae7f

Observation 03809374-e248-4a4c-8b3c-4a67a84570f6 · outbound

This paper cites Token merging for training- free semantic binding in text-to-image synthesis.

One-Way Ticket:Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models Token merging for training- free semantic binding in text-to-image synthesis

Reference 21

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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=2026-08-07T13:24:34.326108Z digest=sha256:e2b5d31d85e2fa08880cf2b98f5c68ccdf1ad1320c5a4a611cc21baa36faeedf

Observation adea5a53-c7d4-4995-896f-8a5055b2a0fb · outbound

This paper cites HarmoniCa: Harmonizing Training and Inference for Better Feature Caching in Diffusion Transformer Acceleration.

One-Way Ticket:Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models HarmoniCa: Harmonizing Training and Inference for Better Feature Caching in Diffusion Transformer Acceleration

Reference 22

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:24:34.423349Z digest=sha256:e333be7b90d99eaa5d3970df648763082909193aca9421f453a7afeb15a65db9

Observation 77da9014-59ee-4113-b770-66bd3f062f70 · outbound

This paper cites Contragan: Contrastive learn- ing for conditional image generation.NeurIPS, 2020.

One-Way Ticket:Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models Contragan: Contrastive learn- ing for conditional image generation.NeurIPS, 2020

Reference 23

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raw_fallback, observed 2026-08-07T13:24:51.670711Z

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=2026-08-07T13:24:34.504175Z digest=sha256:bf5dd5ff3133014fbb02b49c84841f24fd16f292a1bda925b16eeec4d2a8f5cc

Observation 3d75072f-6c3f-4db5-b362-9162d0b3e747 · outbound

This paper cites Rebooting acgan: Auxiliary classifier gans with stable training.

One-Way Ticket:Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models Rebooting acgan: Auxiliary classifier gans with stable training

Reference 24

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raw_fallback, observed 2026-08-07T13:24:51.325653Z

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=2026-08-07T13:24:34.570197Z digest=sha256:d40e512c848732750cce7f715c4f0e20c9c5e2381fdbbd101427b8105c7293f3

Observation 634d7cef-bf31-4026-a920-767409b02488 · outbound

This paper cites Studio- gan: a taxonomy and benchmark of gans for image synthesis.

One-Way Ticket:Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models Studio- gan: a taxonomy and benchmark of gans for image synthesis

Reference 25

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verified fuzzy
raw_fallback, observed 2026-08-07T13:24:51.024951Z

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=2026-08-07T13:24:34.648995Z digest=sha256:58d58fc675861f97fe3205a623b6c197c1e5d74501ea1e020a525e6d18181f34

Observation 7de43274-23ed-4145-ba95-6e6dfb9551be · outbound

This paper cites Scaling up GANs for Text-to-Image Synthesis.CVPR, 2023.

One-Way Ticket:Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models Scaling up GANs for Text-to-Image Synthesis.CVPR, 2023

Reference 26

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verified fuzzy
raw_fallback, observed 2026-08-07T13:24:50.747368Z

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=2026-08-07T13:24:34.706635Z digest=sha256:ceceb374e27ba729f91f9d2f9069b2af33790a224796e3e6b8f12823a1d3386c

Observation 4870a81d-1189-4256-a1ad-48196a60cda3 · outbound

This paper cites Progressive growing of gans for improved quality, stability, and variation.ICLR, 2018.

One-Way Ticket:Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models Progressive growing of gans for improved quality, stability, and variation.ICLR, 2018

Reference 27

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verified fuzzy
raw_fallback, observed 2026-08-07T13:24:50.523337Z

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=2026-08-07T13:24:34.783156Z digest=sha256:b44b64ebd67829e93cbcff22f643424b27b0798509096a36902cc1839fb0866f

Observation 84361988-e3a7-49bf-adb4-d1b5ac919141 · outbound

This paper cites Text2video-zero: Text- to-image diffusion models are zero-shot video generators.

One-Way Ticket:Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models Text2video-zero: Text- to-image diffusion models are zero-shot video generators

Reference 28

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verified fuzzy
raw_fallback, observed 2026-08-07T13:24:50.309618Z

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=2026-08-07T13:24:34.832105Z digest=sha256:541b331ba12c4fc61f38d1a5c5f98305719e46d2cac86de51e518633930c121a

Observation 5c2e8b5d-e050-4bf3-9922-efd97f57fd65 · outbound

This paper cites Token fusion: Bridging the gap between token pruning and token merging.

One-Way Ticket:Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models Token fusion: Bridging the gap between token pruning and token merging

Reference 29

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:24:34.901596Z digest=sha256:96f1693e518b0d3880c39a61c69b3e3792106295e7860242b95d890c681cf591

Observation 6883f029-addf-4c24-844c-5057c71e472e · outbound

This paper cites Kingma and Jimmy Ba.

One-Way Ticket:Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models Kingma and Jimmy Ba

Reference 30

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raw_fallback, observed 2026-08-07T13:24:50.006819Z

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=2026-08-07T13:24:34.964877Z digest=sha256:8fd9a26fa0b9f8b3acff9054e9cdac44a73da9f7cddec7794f0ba3cf8617af49

Observation 05844fc8-cef8-4f72-9f42-b3a0f14be68b · outbound

This paper cites Multi-concept customization of text-to-image diffusion.

One-Way Ticket:Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models Multi-concept customization of text-to-image diffusion

Reference 31

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no resolver link, observed 2026-08-07T13:24:35.030213Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:24:35.030213Z digest=sha256:7903f34b4ee6c1505deec1e36a98d7ed9697045dd5fb849345fcc41cb22c663f

Observation 2f0fb4e6-3915-43ea-9cce-5fe35cc8b38d · outbound

This paper cites Improved precision and recall met- ric for assessing generative models.Advances in neural in- formation processing systems, 32, 2019.

One-Way Ticket:Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models Improved precision and recall met- ric for assessing generative models.Advances in neural in- formation processing systems, 32, 2019

Reference 32

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verified fuzzy
raw_fallback, observed 2026-08-07T13:24:49.602742Z

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=2026-08-07T13:24:35.158860Z digest=sha256:5e3d81fae44491d0fcd6f8538176ec56b2627c39ae3dcfc3fee9b8b956e7e85e

Observation 33fee25d-01d9-4960-849b-772bb21e052d · outbound

This paper cites Distri- fusion: Distributed parallel inference for high-resolution dif- fusion models.

One-Way Ticket:Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models Distri- fusion: Distributed parallel inference for high-resolution dif- fusion models

Reference 33

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verified fuzzy
raw_fallback, observed 2026-08-07T13:24:49.297845Z

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=2026-08-07T13:24:35.247366Z digest=sha256:fe88736e08e81584c676287a40634423516007eea279b2c26e0963d676c0537b

Observation 80ca6035-12a6-480f-804e-0d0197367de1 · outbound

This paper cites Faster diffusion: Rethinking the role of unet encoder in diffusion models.

One-Way Ticket:Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models Faster diffusion: Rethinking the role of unet encoder in diffusion models

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:24:48.964267Z

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=2026-08-07T13:24:35.331445Z digest=sha256:be9033ae0e46672bac3bfe34ae1a6b8a1f80820ef71720d65e642a21c850ad3e

Observation 262c08a6-1401-4a33-b58f-54b85233c2d9 · outbound

This paper cites Styledif- fusion: Prompt-embedding inversion for text-based editing.

One-Way Ticket:Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models Styledif- fusion: Prompt-embedding inversion for text-based editing

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:24:48.700211Z

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=2026-08-07T13:24:35.464170Z digest=sha256:cd14398394a6b58108943c854ce072cb831cda8ff906f936c9620ade004125a2

Observation 8e508d25-fd57-4c92-a8c9-dbd345f700f9 · outbound

This paper cites Q-diffusion: Quantizing diffusion models.

One-Way Ticket:Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models Q-diffusion: Quantizing diffusion models

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:24:48.433272Z

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=2026-08-07T13:24:35.580454Z digest=sha256:536cf18ab4ac409273cee6f4d3aa9746e9d457251b488f3ee3b6f3fa2d10d8dd

Observation 627e9386-6e50-4362-be1c-6aa86befde62 · outbound

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

One-Way Ticket:Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models SDXL-Lightning: Progressive Adversarial Diffusion Distillation

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-07T13:24:35.711222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:24:35.711222Z digest=sha256:0f20754c3b4c6d616477db6942360d16c5bd5efffa766117ff10f779e4387eb3

Observation eab76a6f-1fad-4d3a-aef5-73609b00cd90 · outbound

This paper cites Microsoft coco: Common objects in context.

One-Way Ticket:Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models Microsoft coco: Common objects in context

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-07T13:24:35.802723Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:24:35.802723Z digest=sha256:eb0fbdbcb557f8830b93af3823e9c3303ddf766dc41bf9e3052632a69c1020ee

Observation ef17bca0-9584-4b7a-bd9b-d5c6be3c45bb · outbound

This paper cites One-prompt-one-story: Free-lunch consistent text-to-image generation using a single prompt.

One-Way Ticket:Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models One-prompt-one-story: Free-lunch consistent text-to-image generation using a single prompt

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:24:48.138787Z

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=2026-08-07T13:24:35.942182Z digest=sha256:004af43d6f10666c984b052421a8d0ad9e9a7a2eaa1fb4de3e4fd26761a8fe99

Observation e7299d84-bb59-4533-9608-5c621e1c1847 · outbound

This paper cites Instaflow: One step is enough for high-quality diffusion-based text-to-image generation.ICLR, 2024.

One-Way Ticket:Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models Instaflow: One step is enough for high-quality diffusion-based text-to-image generation.ICLR, 2024

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:24:47.849899Z

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=2026-08-07T13:24:36.023556Z digest=sha256:dbbd9f2e0fe838e441fdd4a6b11c8ce575733d1646f0fa525368b5c26574fca9

Observation 91c7d3e0-1cd9-4a24-8a38-188bd3b61575 · outbound

This paper cites Token caching for diffusion transformer accel- eration.arXiv preprint arXiv:2409.18523, 2024.

One-Way Ticket:Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models Token caching for diffusion transformer accel- eration.arXiv preprint arXiv:2409.18523, 2024

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-07T13:24:36.098801Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:24:36.098801Z digest=sha256:77f0dda392388b29c0c22d08228973a66775dd70b0c9afe738f6b552dbb11150

Observation 0f1b65a7-2789-4f00-ad0e-a06fab3a7bb3 · outbound

This paper cites Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps.Advances in Neural Information Processing Systems, 35:5775–5787,.

One-Way Ticket:Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps.Advances in Neural Information Processing Systems, 35:5775–5787,

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-07T13:24:36.166388Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:24:36.166388Z digest=sha256:271d129cba89c5d962ce6d13a72e3282c1a5dbf3dc972b29c806c0e874fb8d4e

Observation de80827a-02f4-4abe-b597-da95abc3020e · outbound

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

One-Way Ticket:Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-07T13:24:36.266773Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:24:36.266773Z digest=sha256:d0ce039ca8c8270251a321a851042199076ee56438c73022c52cf0d553da00c9

Observation 894dc13a-9e76-4fcb-ba2b-c5ae4b3d94c1 · outbound

This paper cites Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference.

One-Way Ticket:Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-07T13:24:36.358461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:24:36.358461Z digest=sha256:527abc1c5c9912729283392f0d442f59c79d763a22774e5d3f851dc3cb283286

Observation b35653d3-08f4-48ce-a007-e83299117612 · outbound

This paper cites LCM-LoRA: A Universal Stable-Diffusion Acceleration Module.

One-Way Ticket:Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models LCM-LoRA: A Universal Stable-Diffusion Acceleration Module

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-07T13:24:36.467540Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:24:36.467540Z digest=sha256:472385a0a4e49dbd90bb10d05fafc3c774b2276364abbcf8b2877fbc9595fb86

Observation 0b58079a-7de3-4be7-a13b-1c4d043c5dce · outbound

This paper cites Diff-instruct: A universal approach for transferring knowledge from pre-trained diffu- sion models.NeurIPS, 36, 2023.

One-Way Ticket:Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models Diff-instruct: A universal approach for transferring knowledge from pre-trained diffu- sion models.NeurIPS, 36, 2023

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:24:47.589841Z

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=2026-08-07T13:24:36.565058Z digest=sha256:beaf1c19964c33a8e82f7af7ee519a2ab4c8c63eb7c56e057f7ac70eac67d00f

Observation bee1ab19-b7cb-4f53-b56d-841cbfc699ba · outbound

This paper cites Videofusion: Decomposed diffusion mod- els for high-quality video generation.

One-Way Ticket:Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models Videofusion: Decomposed diffusion mod- els for high-quality video generation

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:24:47.427231Z

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=2026-08-07T13:24:36.661735Z digest=sha256:cdec7c544228770b080aa83f721f73cc9c22e457fd9b6430de95a127abeaea17

Observation 56346244-32dc-4ba2-8957-3d5be6d27fc6 · outbound

This paper cites Learning-to-cache: Accelerating diffusion trans- former via layer caching.NeurIPS, 2024.

One-Way Ticket:Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models Learning-to-cache: Accelerating diffusion trans- former via layer caching.NeurIPS, 2024

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:24:47.137711Z

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=2026-08-07T13:24:36.792894Z digest=sha256:da92e333337b7524b86b26826a1212c239bde320e81280b67d2889a3a37f1c5d

Observation 0a15b549-7fa6-4076-9e28-a5504e257265 · outbound

This paper cites Deepcache: Accelerating diffusion models for free.CVPR, 2024.

One-Way Ticket:Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models Deepcache: Accelerating diffusion models for free.CVPR, 2024

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:24:46.854812Z

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=2026-08-07T13:24:36.884287Z digest=sha256:4b2e89315981c73c32c8352608a01b49c8ee549e5a05bc9dcbc93c62ea705d18

Observation 337d1260-7c88-4dc1-a419-fea9ffc36620 · outbound

This paper cites On distillation of guided diffusion models.

One-Way Ticket:Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models On distillation of guided diffusion models

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-07T13:24:36.962465Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:24:36.962465Z digest=sha256:43e243ba33dee52937c1d7285794dc12ca827bc53b48423dba592a9354702723

Observation a960bf82-7dcf-4110-b123-b5a5f103327c · outbound

This paper cites T2i-adapter: Learning adapters to dig out more controllable ability for text-to-image diffusion models.AAAI, 2023.

One-Way Ticket:Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models T2i-adapter: Learning adapters to dig out more controllable ability for text-to-image diffusion models.AAAI, 2023

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:24:46.679432Z

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=2026-08-07T13:24:37.050749Z digest=sha256:9fcbfd672d22c3cb64ae534335f95b654163cd8cf7de6765b4f1ce1556e94d80

Observation c3870963-168f-4953-9b48-7ffccdd51f56 · outbound

This paper cites Reliable fidelity and diversity metrics for generative models.

One-Way Ticket:Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models Reliable fidelity and diversity metrics for generative models

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:24:46.498031Z

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=2026-08-07T13:24:37.141782Z digest=sha256:b02b4b961881625eeddb23d1e93add7d75491ce983f6518347bf5945229d68bb

Observation 6e3dbc80-72b7-4b4c-897b-37ace5b01e06 · outbound

This paper cites Swiftbrush: One-step text-to-image diffusion model with variational score distilla- tion.CVPR, 2024.

One-Way Ticket:Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models Swiftbrush: One-step text-to-image diffusion model with variational score distilla- tion.CVPR, 2024

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:24:46.238393Z

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=2026-08-07T13:24:37.221418Z digest=sha256:bb4b2a2d36c07fd5c4fa3ae777bbb925ed185af310bfa1304186f68eab856da2

Observation 89ef8fab-7852-4cf8-b6e2-54cbb9c2bc93 · outbound

This paper cites Jour- neyDB: A Benchmark for Generative Image Understanding.

One-Way Ticket:Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models Jour- neyDB: A Benchmark for Generative Image Understanding

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:24:45.955922Z

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=2026-08-07T13:24:37.336067Z digest=sha256:752f1092624c9839fb54833643c321c8edd7e591c3913477111663e8a1cec532

Observation 9e5ab4f4-0174-43e7-8f93-b416e536ddb7 · outbound

This paper cites Deep equilibrium approaches to diffusion models.

One-Way Ticket:Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models Deep equilibrium approaches to diffusion models

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:24:45.717862Z

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=2026-08-07T13:24:37.432168Z digest=sha256:6e2eb979af7c575d4e97c68e7f75995a4111e1fc02fe9d2733c2726916a214ad

Observation c484aaba-0b92-476c-9f6a-a3e60884e6a6 · outbound

This paper cites Barron, and Ben Milden- hall.

One-Way Ticket:Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models Barron, and Ben Milden- hall

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:24:45.428205Z

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=2026-08-07T13:24:37.532900Z digest=sha256:a2c421215b7524cbce83c6a33cb85c44bfe604fd6fe4c9ec5eddf13f49174176

Observation d2f41045-ddcb-4046-9adf-b1fbaafc6d1c · outbound

This paper cites Hyper-sd: Trajectory segmented consistency model for efficient image synthesis.

One-Way Ticket:Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models Hyper-sd: Trajectory segmented consistency model for efficient image synthesis

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:24:45.080216Z

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=2026-08-07T13:24:37.609686Z digest=sha256:63eb02e9ebcbdea1760a8dd8d70a28b5e22b87757a3aa3d638c355c3d1e7c9c9

Observation 3795ceae-f19d-4b71-9182-08fb3cc22cc1 · outbound

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

One-Way Ticket:Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models High-resolution image synthesis with latent diffusion models

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:24:44.723253Z

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=2026-08-07T13:24:37.688978Z digest=sha256:aec0d39b8d8a7752c8b3224e53889ec72b29789edc5fddf0e1b16b6f43691af2

Observation 2e61d66f-7492-4708-99f8-96d07b4ac305 · outbound

This paper cites U- net: Convolutional networks for biomedical image segmen- tation.

One-Way Ticket:Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models U- net: Convolutional networks for biomedical image segmen- tation

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:24:44.377661Z

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=2026-08-07T13:24:37.782712Z digest=sha256:8f46c8078c6a1d8ea2423014d59fa768a3b0e74a11796725b52b7ef95611a8da

Observation 602a16d1-cbc3-43f9-a89a-f054af35ea20 · outbound

This paper cites Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation.

One-Way Ticket:Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-07T13:24:37.887801Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:24:37.887801Z digest=sha256:fe8c9ebc4347d9a51aa07f600324b2ae7dabedb1080fb40892bfa90057ade4d0

Observation 91f9d642-eb95-438e-9c2a-50bbf1170d15 · outbound

This paper cites Pho- torealistic text-to-image diffusion models with deep lan- guage understanding.NeurIPS, 2022.

One-Way Ticket:Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models Pho- torealistic text-to-image diffusion models with deep lan- guage understanding.NeurIPS, 2022

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:24:44.024596Z

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=2026-08-07T13:24:38.004499Z digest=sha256:21285fc4ebffed7d4b7aa8d51c1b8cfb75059827b3d7443807e8e97f4d36cc59

Observation af592e9c-8edf-4873-a698-a5b0127d6301 · outbound

This paper cites Progressive distillation for fast sampling of diffusion models.ICLR, 2022.

One-Way Ticket:Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models Progressive distillation for fast sampling of diffusion models.ICLR, 2022

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:24:43.694255Z

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=2026-08-07T13:24:38.113403Z digest=sha256:01e4677078c495cb4e026672d504689cb1b15bc721958e8bd4ca1e5be517f118

Observation 7211b0bc-bd9f-479a-91a1-5819cb0fd1ea · outbound

This paper cites StyleGAN-T: Unlocking the Power of GANs for Fast Large-Scale Text-to-Image Synthesis.International Conference on Machine Learning, 2023.

One-Way Ticket:Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models StyleGAN-T: Unlocking the Power of GANs for Fast Large-Scale Text-to-Image Synthesis.International Conference on Machine Learning, 2023

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:24:43.581383Z

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=2026-08-07T13:24:38.201805Z digest=sha256:8279af1113b539aa3fef554426e7c1140d773ad7f96fe2a9bd32cccf76eae323

Observation 0bda07cd-d4f6-461f-86a9-bbded0cddd16 · outbound

This paper cites Adversarial diffusion distillation.ECCV, 2024.

One-Way Ticket:Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models Adversarial diffusion distillation.ECCV, 2024

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:24:43.240708Z

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=2026-08-07T13:24:38.249515Z digest=sha256:eac139e5a824e490a77976c1e11c57853908eed10a547d6efef0757bddbe2e89

Observation 357bbc20-a65d-4961-be9b-cb221f0f2775 · outbound

This paper cites FORA: Fast-Forward Caching in Diffusion Transformer Acceleration.

One-Way Ticket:Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models FORA: Fast-Forward Caching in Diffusion Transformer Acceleration

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-07T13:24:38.398611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:24:38.398611Z digest=sha256:5707373d8d0145b38846f4836a9913905301533cb852aee7580dc95bbc9cd801

Observation 34e9ee54-8278-4b6f-a6d9-e9cb9ad3b327 · outbound

This paper cites Post-training quantization on diffusion models.

One-Way Ticket:Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models Post-training quantization on diffusion models

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:24:43.118777Z

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=2026-08-07T13:24:38.502967Z digest=sha256:6c3d6ec1e2835186598015c2af3333edac9ce24c5040a6f60aa1ba749779a126

Observation 7724089c-65b8-4667-b279-b94cf72212de · outbound

This paper cites Denois- ing diffusion implicit models.

One-Way Ticket:Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models Denois- ing diffusion implicit models

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:24:43.018641Z

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=2026-08-07T13:24:38.614784Z digest=sha256:965c881d08aceefe284c4ec486d0d303cd9f2d4013347c1af7ad35c933ef369b

Observation 3ae10735-1eec-4dca-8414-ccf6fa4fad21 · outbound

This paper cites Score-based generative modeling through stochastic differential equa- tions.ICLR, 2021.

One-Way Ticket:Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models Score-based generative modeling through stochastic differential equa- tions.ICLR, 2021

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:24:42.888920Z

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=2026-08-07T13:24:38.711227Z digest=sha256:afd1040a88095cb328905556d228ebc35165d2ed52d4a35522cd67f72eb7ce63

Observation 553d6eb5-1456-4ac1-974f-9653b1de1a9e · outbound

This paper cites Consistency models.

One-Way Ticket:Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models Consistency models

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:24:42.752127Z

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=2026-08-07T13:24:38.811385Z digest=sha256:6eb62fadaa2587e662359daf5eed54b973a10dcc16811aa30d5aedce45487d8e

Observation 143acee0-6e09-4139-b4ce-e9e32dfe3774 · outbound

This paper cites F3- pruning: A training-free and generalized pruning strategy to- wards faster and finer text-to-video synthesis.

One-Way Ticket:Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models F3- pruning: A training-free and generalized pruning strategy to- wards faster and finer text-to-video synthesis

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:24:42.618901Z

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=2026-08-07T13:24:38.913761Z digest=sha256:dc08c70654606139a7c535e2af8b06025a105110abedab17997199bcbf9a596f

Observation 25b864b8-b075-49e6-9f9f-6d20c70f4c1e · outbound

This paper cites Emergent correspondence from image diffusion.NeurIPS, 2023.

One-Way Ticket:Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models Emergent correspondence from image diffusion.NeurIPS, 2023

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:24:42.487977Z

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=2026-08-07T13:24:39.038687Z digest=sha256:5c112e347c4bdbb13dcfe028ea92e0ac9a26242b73239e607e3339207d0efa1f

Observation fab4b36c-e18d-4ed7-954d-a11fd3d1c45b · outbound

This paper cites Plug-and-play diffusion features for text-driven image-to-image translation.

One-Way Ticket:Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models Plug-and-play diffusion features for text-driven image-to-image translation

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:24:42.372797Z

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=2026-08-07T13:24:39.108186Z digest=sha256:fb2642cc221b2ada059c17892c5e4df58f987c947965d9251eaa32e3850a6671

Observation 01554a70-78c0-4a78-bc33-1891e4b35391 · outbound

This paper cites Phased consistency model.NeurIPS, 2024.

One-Way Ticket:Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models Phased consistency model.NeurIPS, 2024

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:24:42.250081Z

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=2026-08-07T13:24:39.224731Z digest=sha256:dd76f93c0beb020f7a9ed85c5e24e4b11fc54703842af5101a5a507a72b5f050

Observation d34edc1d-f51d-44c8-99a6-f1e7deada659 · outbound

This paper cites Yeh, and Greg Shakhnarovich.

One-Way Ticket:Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models Yeh, and Greg Shakhnarovich

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:24:42.134439Z

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=2026-08-07T13:24:39.295931Z digest=sha256:e362bfc7617b78d33ba9e29cbeef73d474539f309653737b3588249e1e112c61

Observation 97e504e6-d746-4a73-9b3b-008c97d8c766 · outbound

This paper cites PipeFusion: Patch-level Pipeline Parallelism for Diffusion Transformers Inference.

One-Way Ticket:Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models PipeFusion: Patch-level Pipeline Parallelism for Diffusion Transformers Inference

Reference 75

Resolution
unresolved
no resolver link, observed 2026-08-07T13:24:39.423874Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:24:39.423874Z digest=sha256:17c4d818a2261cb63b4d471080d5639d29c435a11bc015e2bcfd7955ef0ba881

Observation 1a2a6309-b992-4c06-8c40-45e40ae13fe9 · outbound

This paper cites Dynamic prompt learning: Ad- dressing cross-attention leakage for text-based image edit- ing.NeurIPS, 2023.

One-Way Ticket:Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models Dynamic prompt learning: Ad- dressing cross-attention leakage for text-based image edit- ing.NeurIPS, 2023

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:24:41.969997Z

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=2026-08-07T13:24:39.494410Z digest=sha256:0ea7ef3752052b5cc646ea3bd1ba948d5ee37eb70605b4ca86dbbf7109a09629

Observation 94ead676-a289-4b6b-bc2f-de8c1b8b2c85 · outbound

This paper cites Multi-class textual-inversion secretly yields a semantic-agnostic classifier.

One-Way Ticket:Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models Multi-class textual-inversion secretly yields a semantic-agnostic classifier

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:24:41.775773Z

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=2026-08-07T13:24:39.589380Z digest=sha256:e8b20c2b5314e601c7c6b6145432752c61e04519d84fcb8109fb7764e697df51

Observation 7f36c5ca-2bf1-49b2-b7ca-6d15854495eb · outbound

This paper cites ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation.NeurIPS, 2023.

One-Way Ticket:Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation.NeurIPS, 2023

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:24:41.560509Z

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=2026-08-07T13:24:39.653811Z digest=sha256:7227a2a22127582936e54e7727475db75b72d9812e9a9daa269d1e69ee3098c0

Observation b870d1b5-f630-4f5b-8abb-2664dbd5e6bd · outbound

This paper cites Tune-a-video: One-shot tuning of image diffusion models for text-to-video generation.

One-Way Ticket:Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models Tune-a-video: One-shot tuning of image diffusion models for text-to-video generation

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:24:41.370679Z

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=2026-08-07T13:24:39.705364Z digest=sha256:ec757d6a299f3ba1b57ea350950087d36470e89ab763dda8707ac0914de41333

Observation 0eae30c3-716c-474c-b430-9c66d05d06ef · outbound

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

One-Way Ticket:Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models One-step diffusion with distribution matching distillation

Reference 80

Resolution
unresolved
no resolver link, observed 2026-08-07T13:24:39.806896Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:24:39.806896Z digest=sha256:a19451453fdb8ee575ba593c63c665740825ff7ec5048c733b5364edb7a2c63c

Observation 81b0344d-10a9-4bc5-b6e1-085584823e6b · outbound

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

One-Way Ticket:Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 81

Resolution
unresolved
no resolver link, observed 2026-08-07T13:24:39.862109Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:24:39.862109Z digest=sha256:9adb31c32a3e5b0d615a8f6e06aab97ade73cbd950f14708f402a272c39f3ac5

Observation 8dedb314-c9f8-4fcc-9648-18b8ed4f418a · outbound

This paper cites LAPTOP-Diff: Layer Pruning and Normalized Distillation for Compressing Diffusion Models.

One-Way Ticket:Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models LAPTOP-Diff: Layer Pruning and Normalized Distillation for Compressing Diffusion Models

Reference 82

Resolution
unresolved
no resolver link, observed 2026-08-07T13:24:39.944356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:24:39.944356Z digest=sha256:5dbcca41fe148e248c2db3e64ad3d2c91a10e630b76c453d24c61795da807244

Observation 002501ad-6197-4a37-9567-844237d62057 · outbound

This paper cites A tale of two features: Stable diffusion complements dino for zero-shot semantic correspondence.NeurIPS, 2023.

One-Way Ticket:Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models A tale of two features: Stable diffusion complements dino for zero-shot semantic correspondence.NeurIPS, 2023

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:24:41.176601Z

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=2026-08-07T13:24:40.004715Z digest=sha256:284aa9d699f3c3edb8938ccaaba359a2d093bc0e873a05b29db50fdd3db56242

Observation a150d694-beb2-4d57-bf4c-9d3959362e5a · outbound

This paper cites Adding conditional control to text-to-image diffusion models, 2023.

One-Way Ticket:Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models Adding conditional control to text-to-image diffusion models, 2023

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:24:41.045871Z

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=2026-08-07T13:24:40.068249Z digest=sha256:8e84d4f08633f7ad7094d58232b4397793be88950e7fabc6d33934d8f082eee1

Observation f14f1969-e178-4a55-84bd-01015c6524ae · outbound

This paper cites Fast sampling of diffusion models via operator learning.

One-Way Ticket:Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models Fast sampling of diffusion models via operator learning

Reference 85

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:24:40.901035Z

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=2026-08-07T13:24:40.150874Z digest=sha256:01bdfc323239e6973efe46c5a87b8f3e12758ea10ebf475d3075089fa22251ee

Observation ec3e79bf-8a10-434e-9440-ffbd30454579 · outbound

This paper cites Trajectory Consistency Distillation: Improved Latent Consistency Distillation by Semi-Linear Consistency Function with Trajectory Mapping.

One-Way Ticket:Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models Trajectory Consistency Distillation: Improved Latent Consistency Distillation by Semi-Linear Consistency Function with Trajectory Mapping

Reference 86

Resolution
malformed identifier
no resolver link, observed 2026-08-07T13:24:40.211794Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:24:40.211794Z digest=sha256:244010b53b2ae06a54fef528da5187c0de51eb42e8140450e428099575a6b2c9

Observation 836c852d-78d4-4f34-904e-4114cd0488a1 · outbound

This paper cites an unresolved cited work.

One-Way Ticket:Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models Unresolved cited work

Reference 2024

Resolution
parse uncertain
no resolver link, observed 2026-08-07T13:24:32.934853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:24:32.934853Z digest=sha256:590fd60f9f6d99859e311e957f4cc6cca50ccca4e62aa4a5399c2e3cf3c99c6b

Pith citing papers

No inbound Pith citation observations are available.