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Paper Citation Record · LEDGER

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

As of 18 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 2026-08-18T06:34:40.430872+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:aa49a4ed29bdf3280c80060bb62829798a2b250c38e8d5ff5fff90c9a4aee4e6

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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no resolver link, observed 2026-08-07T13:24:32.317340Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:24:32.317340Z digest=sha256:682fe048df84a422ddb64d94935eb05a61ebe936f3461e51917fc1fa2caab0af

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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no resolver link, observed 2026-08-07T13:24:32.439041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:24:32.439041Z digest=sha256:2e81b7a157f8d49fa3cad3ae0a33930d710a223f7b9dbeaf4be3188ad34443e6

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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no resolver link, observed 2026-08-07T13:24:32.524024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:24:32.524024Z digest=sha256:a9f5f4f3b100f6467abbe436e21b6cf9483b1174c789cf0bdefab31949ec5bc1

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.

source=pdf_text observed=2026-08-07T13:24:32.656137Z digest=sha256:bb37083091f3aa678d81bc3f32442485770ea6249646e924616edcf541b7dbf2

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:24:32.784220Z digest=sha256:13059c7d01a53ec67a7b12fe0bf203c732115e34179507d682f63e0b01d88e00

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 2026-08-18T06:34:40.430872+00:00.

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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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no resolver link, observed 2026-08-07T13:24:33.157769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:24:33.157769Z digest=sha256:8d8a7cc75f02fdebf52da43f52a95ed12e10c36f0bcb534e49c4c2d801c78822

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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verified fuzzy
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 2026-08-18T06:34:40.430872+00:00.

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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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:24:33.462051Z digest=sha256:2afe4e55871cafd5c0eb4c172ea6d756e94c91e80cd801ebcfa703308d5acf98

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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raw_fallback, observed 2026-08-07T13:24:53.319194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:24:33.557831Z digest=sha256:4842792dc973117ac9607911df168061f2cab70350dc7d24f0c7fdaa3d840bcf

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:24:33.650025Z digest=sha256:d9f27ca69bc5b13b89c118d75abaf192daac24e7b84f2ff8160904836de1208b

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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raw_fallback, observed 2026-08-07T13:24:52.918209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:24:33.757921Z digest=sha256:e1d88da453d88db3972a8f433c4cc37a8eea4d845ae9589ea20e85759f920d4b

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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raw_fallback, observed 2026-08-07T13:24:52.745969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:24:33.833769Z digest=sha256:3a2da1bc1b0122bf06dda1d63cccdeb7122f18089bd70969bca669f153fcc2d5

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:24:33.901494Z digest=sha256:8a9e7e81cbe4e0c1e60501b85801b6be127af5afb86400443b828c14d08e147a

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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raw_fallback, observed 2026-08-07T13:24:52.389263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:24:34.048100Z digest=sha256:c1f009fd136119187b25ba43c03730d1d3460844f9b2b71c35f5ac4b4f274e02

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.

source=pdf_text observed=2026-08-07T13:24:34.134505Z digest=sha256:06a3e0e58d671f8563bbf028f9d4cee65c47f79800ea31366bf50f96b160e8bd

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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raw_fallback, observed 2026-08-07T13:24:51.998572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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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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raw_fallback, observed 2026-08-07T13:24:51.851968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:24:34.326108Z digest=sha256:f499b64aa32945bfbd80e7176ad073606e0610d1b34c6c3262a48e59b8ff471c

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:24:34.423349Z digest=sha256:cfbb5b1f9e0a31cbce24165d02c7cff611880508346581498dbc6df294cf79ef

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:24:34.504175Z digest=sha256:9b2431526a62d6c6ec148e4a9bd4f38759c65f2ae48b98db312677a379dbcd39

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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verified fuzzy
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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:24:34.570197Z digest=sha256:181881e6048539904cfc25d081f856caef249cc4c6c7f4013618105a949f6a8d

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:24:34.648995Z digest=sha256:54708eecbdee9001097f63b43669d5b49efaba17eea65a34da75ae1936352b3f

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

Resolution
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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:24:34.706635Z digest=sha256:0f389c3a549a62bbecb4798c2f7a86f8662009c9a8eb7b85218df69a0f21473a

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:24:34.783156Z digest=sha256:64f5b5f604d9862d97cb50a797287cd3bbe6357f5b0357155cdaef7c5e4778d3

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:24:34.832105Z digest=sha256:8e25aede6ac5c3a9ea56b3e597c83ae5f8dd3a306d016d3363093eee738c1c4a

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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no resolver link, observed 2026-08-07T13:24:34.901596Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:24:34.901596Z digest=sha256:097733d9af9f976f754aa656db84e1bc0511d2e7d3155e369a8a6e8835d3a1fb

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:24:34.964877Z digest=sha256:cb693110d1ccf7d0a66a64e95db6ec2e437f8d575e10c0c555953cf4448eef5c

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:24:35.030213Z digest=sha256:d483f9053e16eee6b07129abc64b199689b8b15d8c97c5717bc28b8a91689341

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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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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:24:35.158860Z digest=sha256:588deae9bbf26d2a74631fa0025c0b7be317be4ab0812505f35b96fecdf4f88e

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:24:35.247366Z digest=sha256:03194ac1a7097b11cedc142338be2383454bdccabca9b34298a44c166533462a

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:24:35.331445Z digest=sha256:2b3fc729cd488ed0622d96a3035afcc230e1f391f9c55419fa6291136c419309

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:24:35.464170Z digest=sha256:d923e0c220980ffad3459a19d2feadee9c6b5854951d104347ae36281dec3b8b

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:24:35.580454Z digest=sha256:974b1277e210d388de5fe657441c1cab08a8d0d72b5f100ce5c932b59a2e8b62

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=sha256:665dde3a197583c9ce7d16df7c692fd630aa2ef272e934226a83564e6bc8fac0

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=sha256:5d7835a685ceb7ced6e421eb0c39d9a3d3083513b07da8f9ff4de4821035fd23

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:24:35.942182Z digest=sha256:306ef85f1adbfc2efda35e6e6f383ea5f59be85d1660bb49c2c2359cf30984f5

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:24:36.023556Z digest=sha256:affe9ce967f71df48a7a158065eb92a11a4965de480892c8426fc54502f6f0e2

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:a51540c467d9ce4d5e83c0ed03f31117d75ff8354836f6d2094adcc7f8818b54

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=sha256:16a37acbfe84bc734c051acf4f0d4d943b93d22b494f9b38f7c5bd289f1dcb89

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=sha256:165ebe58d172d229412f93bdd6a6bb327e8cab3dd61c2d25c539fd5a2d3011af

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=sha256:673fd00cbbfa34a42c61954536e353673c1f89e99950ba10f84fd3afb7f4fad2

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:eba1d811b7fc4045b9af5f91a7e70470b6e35eeb137c8597f5bb8d333c2dbeec

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:24:36.565058Z digest=sha256:1d174b83609c4ff18663adace224827ed85df3f439b38decccfffbe48d925406

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:24:36.661735Z digest=sha256:a49640313a595c38afe1a1344114a50e4f7dd9e08ea1de431908d9a5c8536236

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:24:36.792894Z digest=sha256:2c2bc7709a2dfe086857f196d4657b9da3a75c51a31ba711dba3b3ca956b4b7e

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:24:36.884287Z digest=sha256:1ccade6ddc5612b28dab8369d4984e894b2395923e4697492a2dfef37eca361c

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=sha256:82ccbdc4f7f38f2e3ad3617102d0d3fc590a493011c6ed2ac6c43360583e0a94

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:24:37.050749Z digest=sha256:72ebf5bdbeca3d34118f6c7414538b486d5e4c2879427e921dfd0c9e6a0a753b

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:24:37.141782Z digest=sha256:49f755e9a5a21aad6c47d38898109ccaf45ed8e5ec565b9393b98ab755d15bb1

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:24:37.221418Z digest=sha256:10fdcff8debec38e71c9e787bc281842b8e98c7e2c337f813948d78888b807cd

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:24:37.336067Z digest=sha256:a3f7957495fc516dd8c0fc93dc103d5724e3de1ff4bfb998ba15be2f5cb93435

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:24:37.432168Z digest=sha256:63f56a755fe900039dbbbc982ddc2cd648d90a67c540a476a7324a73f03c8f4a

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:24:37.532900Z digest=sha256:7bc7e1522e2cbde1b59be8ea84f435a05de53855d2c1e5ee3c3425442879ac53

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:24:37.609686Z digest=sha256:1246320cbbc671ae229bdecbde0e35c1b285dfc3000eb3c9c669c2427ed02ad2

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:24:37.688978Z digest=sha256:8b417e0dda9a4332c21413cfb67fd04c40c89563612b9b562d4a935d6a98c1a9

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:24:37.782712Z digest=sha256:e3ec9f9fbfe2d877d7cf18cb81784ef59d1c2a0d90d917effb354f7c87123b97

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=sha256:0de8ce6d7d5d5a70c0c863c20c7c975553a1dd6a9cd5e3e6530129f8a7509530

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:24:38.004499Z digest=sha256:3a68578d4d2c9a12b086fa0fe92ece1727cc4957e360dc678bc1312ff9457c2a

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:24:38.113403Z digest=sha256:2fa2db21ece9f0accd669ead74abe80c499679728403ee65b51101c18f52b423

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:24:38.201805Z digest=sha256:d6e2d70270e03a0c8884db0da34d1df8f80a9f5fbe6fd487858509ad45f27d14

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:24:38.249515Z digest=sha256:a2935805c5991be74dec7a648f5f048abf67b99b9bb236470298b60b854dbd2d

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=sha256:59e9ddcaf0dd28c01c3173a180652cb51816996dd9750dffc77fae7fbeb0ea77

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:24:38.502967Z digest=sha256:a418079f2309197161068f6951a1b3d4332ef7c5ad89f103d4d198be5ddd4475

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:24:38.614784Z digest=sha256:ea69acd06c29df74a86b0bb3fb31cb1247227e089bb8ecf6ab2e174649197868

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:24:38.711227Z digest=sha256:6b67a91753326b1b59ec2a7238d5078d210b9c9765e50027b3aeab59f95ba887

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:24:38.811385Z digest=sha256:5283a6c51ad18c6fcd27ca4fd3c2aec87a9e648c701bace638875bbe92b47e2d

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:24:38.913761Z digest=sha256:564beecec9d478b5d98c3688dfa4dcb4f00b1385f5a0f2fd2b9d120c372039c2

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:24:39.038687Z digest=sha256:d3cb32089d1e3bb64496dc2c95035fd7b6c324c9f5373ba777ec16d19c2cfe1f

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:24:39.108186Z digest=sha256:a8c3671b4c96857536f41fbef0b51e3e5a3240bf55c14d24d6fd25c941f38aeb

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:24:39.224731Z digest=sha256:bdd61b6812d8fcdd6e06945043bc190a3d00cc21d943dba1bdd372e3fb55d951

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:24:39.295931Z digest=sha256:8d5a084418800f4f64fd60827b462229e447ae3ef3c02efe6498eab06d08eb76

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:d9122280151a68f162def8fc49c463b00f0f5a78d5a20161f115cfb4be6197b9

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:24:39.494410Z digest=sha256:5667279de7a89a7775d8526c30baeb15e3a4f46af87bdfae4bceda46ae02bef5

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:24:39.589380Z digest=sha256:dd6f5b833b97a70c875f4abcc7f2f39356ba23dd6e0ff973da981c94d2eef4b1

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:24:39.653811Z digest=sha256:0dbd5d3daae7b6b91178385221523786359a98bdda81ed08aaaeb4db65271e26

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:24:39.705364Z digest=sha256:c8c73fe7d33c1f3a77d364753d365e257735c1c58571593a8e31ad10045504f3

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=sha256:770c528744dad46b23e45e94935858e7698c1847149898f2f60a1a7620d58ea3

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=sha256:6379b1881fe18ef1068a847a6d291436563aea6ed430173e64276b0e9a8df6f5

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=sha256:561e9281351643dad01a5cc2163e421a258038ba39e40a2de1736ad6b7403c07

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:24:40.004715Z digest=sha256:0752f3f5fb8d0d2b01d3c781084eed9f050a9f8c76cbab4ea5a7b66dbf8359d2

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:24:40.068249Z digest=sha256:6a576f60606650fa2f5a7a86b035425a57ada5c74c994ae4352c0603fa36f633

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:24:40.150874Z digest=sha256:a32de855870263aa962f34e450bae2716573b505aa278fcccea718d3b3b69706

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=sha256:47da2950631b838ee397feb501252ad92184f09f2ae03763bc5fe06a816006c7

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=sha256:6e00227c43f716c82b9b51e803fd0721cea50002a45faca48276dba498de0047

Pith citing papers

No inbound Pith citation observations are available.