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Paper Citation Record · LEDGER

Adversarial Diffusion Distillation

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 54 inbound Pith citation observations for arXiv:2311.17042.

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

pith.paper-citation-record.v1
2311.17042 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 54 of 54 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 54 of 54 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T15:20:57.648480Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

13
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 524f59f4-7469-4634-8de6-3fa17167cead · inbound

DiFaReli++: Diffusion Face Relighting with Consistent Cast Shadows cites this paper.

DiFaReli++: Diffusion Face Relighting with Consistent Cast Shadows Adversarial Diffusion Distillation

Reference 66

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arxiv_id, observed 2026-05-24T08:44:14.072154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-24T08:42:04.321790Z digest=sha256:93a3743e5d8faa57f5c984c18ced605522de2f998db78f97044c6c278bcf8cb5

Observation 2b555fd2-38d3-43db-a921-ad78ac43955a · inbound

Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models cites this paper.

Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models Adversarial Diffusion Distillation

Reference 35

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arxiv_id, observed 2026-05-13T13:43:11.094567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-13T13:43:11.024069Z digest=sha256:971c07852a6710efb953873b8bfe96f788f6fcd5e1d9b7cd98f451d60691bfeb

Observation e2b2b80c-25d5-4b28-b2a8-c482c1110307 · inbound

Scaling Rectified Flow Transformers for High-Resolution Image Synthesis cites this paper.

Scaling Rectified Flow Transformers for High-Resolution Image Synthesis Adversarial Diffusion Distillation

Reference 178

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arxiv_id, observed 2026-05-12T08:27:53.568782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-12T08:27:53.446686Z digest=sha256:8324572d6e3443aa3e67401d7a8c8de88ea1233db536f6c83de1f790b0c23329

Observation 40df8d60-f4ca-468b-b68b-8d4529eddc54 · inbound

Hunyuan-DiT: A Powerful Multi-Resolution Diffusion Transformer with Fine-Grained Chinese Understanding cites this paper.

Hunyuan-DiT: A Powerful Multi-Resolution Diffusion Transformer with Fine-Grained Chinese Understanding Adversarial Diffusion Distillation

Reference 31

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arxiv_id, observed 2026-05-16T14:58:37.436697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-16T14:58:37.383749Z digest=sha256:1f4fe44a72072038ca0eed7ec0d6a3bc072289400f5b159bc80f4ca70c27d8cc

Observation 09b9a784-fd57-4054-ae90-8d08db3ec145 · inbound

Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think cites this paper.

Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think Adversarial Diffusion Distillation

Reference 187

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arxiv_id, observed 2026-05-12T15:09:37.115300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-12T15:09:36.982610Z digest=sha256:ac06af74794b78603efd993a32a0bd9af912b8ba974b1f9165ce12826afc5a95

Observation 0a017e6d-dc26-4042-a7b3-b79f3fe95a0d · inbound

One Step Diffusion via Shortcut Models cites this paper.

One Step Diffusion via Shortcut Models Adversarial Diffusion Distillation

Reference 22

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arxiv_id, observed 2026-05-15T06:40:55.576409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T06:40:55.394389Z digest=sha256:eed225836f6b7423d471845b485becc3ceed44a815b75834c15b3301e619c295

Observation 0eb120a5-9824-4423-9b60-27e5752e4088 · inbound

Improved Training Technique for Latent Consistency Models cites this paper.

Improved Training Technique for Latent Consistency Models Adversarial Diffusion Distillation

Reference 20

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no resolver link, observed 2026-08-09T15:20:57.648480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T15:20:57.648480Z digest=sha256:28c4b9647bcf009dc8d059feacf85c44acffbf6ececad688f49e68315deda055

Observation 04a1567c-e55e-49a0-a9a7-ee87c164c2f7 · inbound

InterLCM: Low-Quality Images as Intermediate States of Latent Consistency Models for Effective Blind Face Restoration cites this paper.

InterLCM: Low-Quality Images as Intermediate States of Latent Consistency Models for Effective Blind Face Restoration Adversarial Diffusion Distillation

Reference 20

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no resolver link, observed 2026-08-09T13:02:37.521656Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T13:02:37.521656Z digest=sha256:ad83af3095a50ef7af26afa40ff220f86a55588151d24e80f8a58d54ebe7f142

Observation c1edeeb7-39ca-4653-bb06-6c1ad422727d · inbound

Elucidating the Preconditioning in Consistency Distillation cites this paper.

Elucidating the Preconditioning in Consistency Distillation Adversarial Diffusion Distillation

Reference 15

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no resolver link, observed 2026-08-09T10:42:54.402741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T10:42:54.402741Z digest=sha256:8684493bf2c7cbf9f85c2de4aeb3e72cd6000b8ccbaf9ea7bde3b7581d9328bd

Observation d23f0864-b3cc-4344-a6e7-b58d1624c249 · inbound

Fast Video Generation with Sliding Tile Attention cites this paper.

Fast Video Generation with Sliding Tile Attention Adversarial Diffusion Distillation

Reference 33

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no resolver link, observed 2026-08-08T22:37:42.115155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T22:37:42.115155Z digest=sha256:01d6adba652e2a3839bafc6a5d4da6bb8da4fe5711b5327ed9692d2c43cf0018

Observation ae08ac42-847a-4636-ab6c-70423dbdd4a0 · inbound

Efficient-vDiT: Efficient Video Diffusion Transformers With Attention Tile cites this paper.

Efficient-vDiT: Efficient Video Diffusion Transformers With Attention Tile Adversarial Diffusion Distillation

Reference 43

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no resolver link, observed 2026-08-08T16:36:00.753095Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T16:36:00.753095Z digest=sha256:f9e46bb0dc7f1ea5d19c9817eee72c1dea1a7d92d109773cd47bf10f7603edab

Observation aa9df552-5935-49c0-8aa1-7d1032654f6d · inbound

Memory-Efficient Visual Autoregressive Modeling with Scale-Aware KV Cache Compression cites this paper.

Memory-Efficient Visual Autoregressive Modeling with Scale-Aware KV Cache Compression Adversarial Diffusion Distillation

Reference 48

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no resolver link, observed 2026-08-07T14:16:17.578156Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:16:17.578156Z digest=sha256:354de92931b301700aa82086aa943402531649fea8365de1046df0aa71743337

Observation ed07fc95-f8b5-4f24-8a07-2e17a91f201b · inbound

LeDiFlow: Learned Distribution-guided Flow Matching to Accelerate Image Generation cites this paper.

LeDiFlow: Learned Distribution-guided Flow Matching to Accelerate Image Generation Adversarial Diffusion Distillation

Reference 2024

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no resolver link, observed 2026-08-07T13:52:35.908366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:52:35.908366Z digest=sha256:80f13749d0f3a7f7a69b0281da1a2071ac99793788d680bb74c4a38466c0cdb5

Observation 623458ab-66d6-4098-b35d-24eb9c1f850e · inbound

Revisiting Diffusion Models: From Generative Pre-training to One-Step Generation cites this paper.

Revisiting Diffusion Models: From Generative Pre-training to One-Step Generation Adversarial Diffusion Distillation

Reference 16

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no resolver link, observed 2026-08-07T04:55:39.136521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:55:39.136521Z digest=sha256:f79fe0b266be73038cd9f852d0b39dd30308712543cf5929df5898ef3e4b2ace

Observation dccb4d47-2044-4ca7-aeb5-8a0173b78a77 · inbound

FLUX.1 Kontext: Flow Matching for In-Context Image Generation and Editing in Latent Space cites this paper.

FLUX.1 Kontext: Flow Matching for In-Context Image Generation and Editing in Latent Space Adversarial Diffusion Distillation

Reference 48

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verified exact
arxiv_id, observed 2026-05-10T16:36:02.072051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T16:36:02.016696Z digest=sha256:3693d9d03bc7c6a77078250607822208a078eaf8336c19ecc62bf23e7a24ab64

Observation 25ad2139-25f3-4053-b7c9-9f0f6cd3567b · inbound

SD-Acc: Accelerating Stable Diffusion through Phase-aware Sampling and Hardware Co-Optimizations cites this paper.

SD-Acc: Accelerating Stable Diffusion through Phase-aware Sampling and Hardware Co-Optimizations Adversarial Diffusion Distillation

Reference 51

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no resolver link, observed 2026-08-06T21:07:31.491214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:07:31.491214Z digest=sha256:f877c18076584a8b7a70ba65f66415e397ba88bc3f200820462be257e395f9f1

Observation b42d9fe5-55ac-4f9b-b901-aeb0bb442a2b · inbound

UNICE: Training A Universal Image Contrast Enhancer cites this paper.

UNICE: Training A Universal Image Contrast Enhancer Adversarial Diffusion Distillation

Reference 50

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no resolver link, observed 2026-08-06T15:03:16.272426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:03:16.272426Z digest=sha256:b51936065665bfda3acd18892d4692259b1d73e0c490f87ea20edc4d678c4433

Observation ec97c78f-0c22-46f7-b6fd-e0739ecf0c39 · inbound

Learning from Limited and Imperfect Data cites this paper.

Learning from Limited and Imperfect Data Adversarial Diffusion Distillation

Reference 283

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unresolved
no resolver link, observed 2026-08-06T13:10:17.870448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:10:17.870448Z digest=sha256:595cc3f0c64a51d5ef16ceca1733eb303d7dd673f1001f89657d34bdb8f0a054

Observation 170157da-26f2-4760-b083-901d4a0aeac1 · inbound

Category-level Text-to-Image Retrieval Improved: Bridging the Domain Gap with Diffusion Models and Vision Encoders cites this paper.

Category-level Text-to-Image Retrieval Improved: Bridging the Domain Gap with Diffusion Models and Vision Encoders Adversarial Diffusion Distillation

Reference 54

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no resolver link, observed 2026-08-05T13:59:43.041197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:59:43.041197Z digest=sha256:38856d3544dd1e852909075c836f6a262a9629a08314bf88ed2c217ccce1fd92

Observation 8848e33d-79aa-4035-9275-3d21cca17ab6 · inbound

It's Never Too Late: Noise Optimization for Collapse Recovery in Trained Diffusion Models cites this paper.

It's Never Too Late: Noise Optimization for Collapse Recovery in Trained Diffusion Models Adversarial Diffusion Distillation

Reference 57

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verified exact
arxiv_id, observed 2026-05-16T17:53:11.766764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-16T17:51:32.439732Z digest=sha256:22f849bd052da8c60f6b7ae561bdea6f70e7947deaba2904cbd565d81a9e09da

Observation 84fa2939-cf01-4067-9190-d07f0977f300 · inbound

Na\"ive PAINE: Lightweight Text-to-Image Generation Improvement with Prompt Evaluation cites this paper.

Na\"ive PAINE: Lightweight Text-to-Image Generation Improvement with Prompt Evaluation Adversarial Diffusion Distillation

Reference 70

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no resolver link, observed 2026-07-14T22:28:35.981853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T22:28:35.981853Z digest=sha256:cfbb687dd1541969e77558b2b9db48bc5e08b99df5e6e2d480cd3bc1f76d19c3

Observation 41d43b0b-6565-4095-af51-45437808fa8f · inbound

Attention, May I Have Your Decision? Localizing Generative Choices in Diffusion Models cites this paper.

Attention, May I Have Your Decision? Localizing Generative Choices in Diffusion Models Adversarial Diffusion Distillation

Reference 37

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no resolver link, observed 2026-07-13T16:39:08.009546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T16:39:08.009546Z digest=sha256:9e8d4356ddc80f019644a473e1dcbecee1f0b4e09fe2df550ba84ced01f8e802

Observation 2493aeb6-9e5d-4e6c-98b3-b6a5839d5f5b · inbound

PromptEvolver: Prompt Inversion through Evolutionary Optimization in Natural-Language Space cites this paper.

PromptEvolver: Prompt Inversion through Evolutionary Optimization in Natural-Language Space Adversarial Diffusion Distillation

Reference 37

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arxiv_id, observed 2026-05-13T20:43:15.124343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-13T20:39:35.582433Z digest=sha256:c3431c3c6da706b0dc786c6d56596ca54000dd108b1ae7486e7c318ff900203e

Observation d6720a59-fd62-446b-acb9-535ddd380c4b · inbound

BiasIG: Benchmarking Multi-dimensional Social Biases in Text-to-Image Models cites this paper.

BiasIG: Benchmarking Multi-dimensional Social Biases in Text-to-Image Models Adversarial Diffusion Distillation

Reference 42

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verified exact
arxiv_id, observed 2026-05-11T10:21:00.627400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T15:33:15.025940Z digest=sha256:84b7a559b9f54e1d348396666db4d30fe268eec591c2358a42a602ed9dd6c032

Observation 776d6ccf-afee-49c1-bc8d-cb45326c49e3 · inbound

$Z^2$-Sampling: Zero-Cost Zigzag Trajectories for Semantic Alignment in Diffusion Models cites this paper.

$Z^2$-Sampling: Zero-Cost Zigzag Trajectories for Semantic Alignment in Diffusion Models Adversarial Diffusion Distillation

Reference 38

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arxiv_id, observed 2026-05-11T21:06:15.195488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-08T06:41:04.597012Z digest=sha256:5062f59a67803113db2d494aa3c86be82e5eaf6d84fe4c36b6517efc69b388dd

Observation ec183f56-a2fc-4b7c-a217-e1491ae00a20 · inbound

Oracle Noise: Faster Semantic Spherical Alignment for Interpretable Latent Optimization cites this paper.

Oracle Noise: Faster Semantic Spherical Alignment for Interpretable Latent Optimization Adversarial Diffusion Distillation

Reference 33

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arxiv_id, observed 2026-05-11T21:06:12.242517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-08T06:58:09.085573Z digest=sha256:d09028ad1c5ebb660bfcdd59900dc16ff9cfcf3ed866ffb9de2d9c599cfbe41c

Observation 735ea78e-1ffb-48dd-9b8f-0b8a4f4115fa · inbound

MetaSR: Content-Adaptive Metadata Orchestration for Generative Super-Resolution cites this paper.

MetaSR: Content-Adaptive Metadata Orchestration for Generative Super-Resolution Adversarial Diffusion Distillation

Reference 23

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arxiv_id, observed 2026-05-12T08:46:26.618131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-07T13:47:16.607775Z digest=sha256:2b2d56a90f38121d8149ee50be95b516059f908b7906c9f17a6b0dd6f7b54cf4

Observation 37438df7-82ba-48c6-8ba7-12f23eaf98d4 · inbound

Unlocking Complex Visual Generation via Closed-Loop Verified Reasoning cites this paper.

Unlocking Complex Visual Generation via Closed-Loop Verified Reasoning Adversarial Diffusion Distillation

Reference 41

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arxiv_id, observed 2026-05-19T16:37:39.716037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-19T16:35:43.166697Z digest=sha256:924890b960e5319cbdacbcc133b76a661895703385c57b2937f37bb6de4df9a5

Observation 7b9905bf-4e05-45b0-9894-600a37ddba0c · inbound

Systematic Optimization of Real-Time Diffusion Model Inference on Apple M3 Ultra cites this paper.

Systematic Optimization of Real-Time Diffusion Model Inference on Apple M3 Ultra Adversarial Diffusion Distillation

Reference 3

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verified exact
arxiv_id, observed 2026-05-21T13:00:09.699082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-21T12:59:13.952052Z digest=sha256:88de6b4ff609b459f407d4036cc59099a44f5f27b8920f5426407a9db98401c2

Observation dd14baa0-d68f-4758-98eb-ae716351caed · inbound

MONET: A Massive, Open, Non-redundant and Enriched Text-to-image dataset cites this paper.

MONET: A Massive, Open, Non-redundant and Enriched Text-to-image dataset Adversarial Diffusion Distillation

Reference 81

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verified exact
arxiv_id, observed 2026-05-21T05:23:58.448793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-21T05:21:18.369534Z digest=sha256:80ebf04f69c91b5a0f8694a5e371b07a65857ff162d28339eb1836aeeb95ed55

Observation 712d2d8c-6794-4832-9db8-be5cd81d1479 · inbound

Variance Reduction for Expectations with Diffusion Teachers cites this paper.

Variance Reduction for Expectations with Diffusion Teachers Adversarial Diffusion Distillation

Reference 69

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verified exact
arxiv_id, observed 2026-05-21T04:53:57.911701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-21T04:51:57.800006Z digest=sha256:4d36be65f7f0d9c0cc06aada18b1cb464ac7e43e9329f36d8c5148afa4df0cc1

Observation 6978158d-9cec-4460-a255-7e9817341b22 · inbound

Variance Reduction for Expectations with Diffusion Teachers cites this paper.

Variance Reduction for Expectations with Diffusion Teachers Adversarial Diffusion Distillation

Reference 69

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verified exact
arxiv_id, observed 2026-05-25T05:46:39.725501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-25T05:41:10.076206Z digest=sha256:126b870b1a67bbd4c1a8e4ea6f71384aed4adbb5f0e8996f55121f334cd5a477

Observation 8c6af5da-6f44-4bb6-a0cc-a1907afafbb9 · inbound

Lens: Rethinking Training Efficiency for Foundational Text-to-Image Models cites this paper.

Lens: Rethinking Training Efficiency for Foundational Text-to-Image Models Adversarial Diffusion Distillation

Reference 67

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arxiv_id, observed 2026-05-22T09:34:46.699359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-22T09:34:14.596976Z digest=sha256:6b22fce906979c359bcff21588f6d45b3016f1cdf99323ec356f7b2b44adba14

Observation 5447eb5b-a97b-4633-acc2-461ca914ac68 · inbound

Brain-to-Image Retrieval and Reconstruction via Multimodal EEG Alignment cites this paper.

Brain-to-Image Retrieval and Reconstruction via Multimodal EEG Alignment Adversarial Diffusion Distillation

Reference 5

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verified exact
arxiv_id, observed 2026-06-30T19:05:00.498253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T19:02:49.795250Z digest=sha256:7bfd71f0c1e77b4445557471ff0cd7068d6525e12004b8c542e54f6aacf8a7b9

Observation 5e7fdc91-3197-4a4e-869a-1b0db67f79fb · inbound

LUCID: Learning Unified Control for Image Deflaring and Exposure Mastery in Nighttime Photography cites this paper.

LUCID: Learning Unified Control for Image Deflaring and Exposure Mastery in Nighttime Photography Adversarial Diffusion Distillation

Reference 32

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metadata mismatch
arxiv_id, observed 2026-07-02T16:27:09.058848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-27T22:44:05.063072Z digest=sha256:83a2d5abe1b1a5e75a48d37b1fd1cf74b7d70c3d08b3fc692dccd5d2d498c7ce

Observation 53c5a85d-607d-4300-8ac4-6a193f18e844 · inbound

EPIG: Emotion-Based Prompting for Personalised Image Generation cites this paper.

EPIG: Emotion-Based Prompting for Personalised Image Generation Adversarial Diffusion Distillation

Reference 35

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T14:48:32.997244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-27T06:54:05.515501Z digest=sha256:e0a4bda7594976c30739f8205902671ece820f785da8bc7bd0e4fe44ecf7c836

Observation 0ba2d3b9-2c62-426d-8751-81fe2074d3f9 · inbound

Addressing Detail Bottlenecks in Latent Diffusion for RGB-to-SWIR Image Translation cites this paper.

Addressing Detail Bottlenecks in Latent Diffusion for RGB-to-SWIR Image Translation Adversarial Diffusion Distillation

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-07-04T02:59:25.762282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-26T18:40:45.171336Z digest=sha256:7ab6eeb7196fa809192d9c30f6bd4dcb8b619022a55f4be08c3256bbf4015444

Observation 684bd565-6893-41c5-80b0-a4b20fa0e6bf · inbound

On the Redundancy of Timestep Embeddings in Diffusion Models cites this paper.

On the Redundancy of Timestep Embeddings in Diffusion Models Adversarial Diffusion Distillation

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-07-04T03:19:31.497279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-26T18:09:27.320733Z digest=sha256:a50ae4cdd09828a501804f2672716099954a03f2aaf5b7da959d9fec00c38f75

Observation 39ee8c61-bcd9-49c0-acaa-4c0d842bc9d5 · inbound

On the Redundancy of Timestep Embeddings in Diffusion Models cites this paper.

On the Redundancy of Timestep Embeddings in Diffusion Models Adversarial Diffusion Distillation

Reference 21

Resolution
unresolved
no resolver link, observed 2026-07-12T13:14:35.300844Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T13:14:35.300844Z digest=sha256:6d144823448506b71bb812aa8ca356bdcb1ae79944696f30b23d4cd68a7682d6

Observation 7f9548f2-3aff-4c1e-a4e5-4b96dc8cf717 · inbound

Curvature-Adaptive Consistency Flow Matching: Autonomous Trajectory Optimization via Reinforcement Learning cites this paper.

Curvature-Adaptive Consistency Flow Matching: Autonomous Trajectory Optimization via Reinforcement Learning Adversarial Diffusion Distillation

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-07-04T08:59:43.070461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-26T10:40:22.767129Z digest=sha256:72e6945ce7ab75cbf979b3142a5663c1a294f35c8d36a5a4c4ccf3f7c9a75963

Observation 0723235d-57bd-491c-9e65-7943714c467b · inbound

Curvature-Adaptive Consistency Flow Matching: Autonomous Trajectory Optimization via Reinforcement Learning cites this paper.

Curvature-Adaptive Consistency Flow Matching: Autonomous Trajectory Optimization via Reinforcement Learning Adversarial Diffusion Distillation

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-02T10:36:54.203660Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T10:36:54.203660Z digest=sha256:67f5d2d33e5a598927f04be703d99991e2845a649d18cae8f3cf2ce0685ae31c

Observation e95ce883-6226-43a0-8666-02475ed6c932 · inbound

DiffusionBench: On Holistic Evaluation of Diffusion Transformers cites this paper.

DiffusionBench: On Holistic Evaluation of Diffusion Transformers Adversarial Diffusion Distillation

Reference 147

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T16:59:58.099776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-26T00:06:11.951205Z digest=sha256:9d8f6d56f7f17162019e72c16b00cbfa81bfbfece5389012d930250e72371100

Observation 4605259e-cf26-4692-9e1e-3eb4c31eb437 · inbound

Scenario-conditioned flow matching for probabilistic generation of three-component ground-motion waveforms cites this paper.

Scenario-conditioned flow matching for probabilistic generation of three-component ground-motion waveforms Adversarial Diffusion Distillation

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-07-01T02:45:17.755976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-01T02:35:49.527925Z digest=sha256:a0853a9c2b9da7cc77cbe4356a8000519d5ef31c3b12e026a3bda199ed464bd9

Observation 2ad83bb9-9d55-43a6-9a21-85439feea4d5 · inbound

Language-Assisted Super-Resolution from Real-World Low-Resolution Patches cites this paper.

Language-Assisted Super-Resolution from Real-World Low-Resolution Patches Adversarial Diffusion Distillation

Reference 112

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T10:05:41.434804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-01T05:49:20.689248Z digest=sha256:3dce1289bcfcf6a654201d3ba256843e74da0a9cdea45b0e9ee7db0d4bfb7c86

Observation 3e0899d6-85ab-497d-91d4-936f53c31c18 · inbound

Language-Assisted Super-Resolution from Real-World Low-Resolution Patches cites this paper.

Language-Assisted Super-Resolution from Real-World Low-Resolution Patches Adversarial Diffusion Distillation

Reference 112

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T22:18:59.543485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-03T22:14:30.734906Z digest=sha256:880f6f9d675f38e1d6098a3f90682871ba6b1475e26be91d942872e8f58d6285

Observation f033a4a7-6fdb-4763-95a5-27fbdcd8aebd · inbound

NEvo: Neural-Guided Evolutionary Video Synthesis for Dynamic Visual Selectivity cites this paper.

NEvo: Neural-Guided Evolutionary Video Synthesis for Dynamic Visual Selectivity Adversarial Diffusion Distillation

Reference 78

Resolution
verified exact
arxiv_id, observed 2026-07-03T15:38:33.240052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-03T15:28:57.586943Z digest=sha256:3e34d04f58a297977b9425fc73dd701f1c030fd47918e02a0d1ecc2e4bed9698

Observation 823be29e-ec18-4131-a450-0812dab45695 · inbound

A Decomposable Probe for Few-Step Diffusion Models: Prompt, Latent, and Score Selectivity across Backbone Families and Distillation Paradigms cites this paper.

A Decomposable Probe for Few-Step Diffusion Models: Prompt, Latent, and Score Selectivity across Backbone Families and Distillation Paradigms Adversarial Diffusion Distillation

Reference 86

Resolution
unresolved
no resolver link, observed 2026-07-12T03:47:04.311886Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-12T03:47:04.311886Z digest=sha256:bd4208b7a79d3d0493cd5bf054ad1a0dc4f7cb8dd43dda59ce7f245d7fbaa272

Observation 88e68ee6-9952-4054-aae9-6f0c6d258ffa · inbound

DiTango: Cost-Effective Parallel Diffusion Generation with Selective Attention State Reuse cites this paper.

DiTango: Cost-Effective Parallel Diffusion Generation with Selective Attention State Reuse Adversarial Diffusion Distillation

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-01T22:45:27.609289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T22:45:27.609289Z digest=sha256:472b36d405a451448286ef8919c7ce5b3c05abd8ffcf4b875aeaf2f54b7c5214

Observation 0890521d-9330-4257-a37e-bb1ec2e819a7 · inbound

Mage-Flow: An Efficient Native-Resolution Foundation Model for Image Generation and Editing cites this paper.

Mage-Flow: An Efficient Native-Resolution Foundation Model for Image Generation and Editing Adversarial Diffusion Distillation

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-01T13:39:00.844047Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T13:39:00.844047Z digest=sha256:b296debe88c5526ae05155ffac231ae961e2f62ce7cf9d44bd89cb8e9bbdff15

Observation ba28bb92-fe26-4c21-9c1b-386943847e78 · inbound

MicroZoom: Structure-Preserving Detail Synthesis at Extreme Scale cites this paper.

MicroZoom: Structure-Preserving Detail Synthesis at Extreme Scale Adversarial Diffusion Distillation

Reference 31

Resolution
unresolved
no resolver link, observed 2026-07-31T06:40:45.576149Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T06:40:45.576149Z digest=sha256:1c22921bfbd822b0456299c8daabf460a8661750dec3c3732326de9a11ff3d73

Observation 870bc9bd-c1a5-487b-a92d-33b955453bae · inbound

Parallel Decoding Distillation for Fast Image and Video Generation cites this paper.

Parallel Decoding Distillation for Fast Image and Video Generation Adversarial Diffusion Distillation

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-01T00:57:41.804583Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T00:57:41.804583Z digest=sha256:00759aeed7760b03839ab8f5680c75ba62c944f950784177987c3b97210dece8

Observation 0c17cc0b-bcb0-43c7-8b63-51e04f7dc533 · inbound

Examining the Efficacy of Graph Neural Network Message-Passing in Regression Contexts cites this paper.

Examining the Efficacy of Graph Neural Network Message-Passing in Regression Contexts Adversarial Diffusion Distillation

Reference 271

Resolution
unresolved
no resolver link, observed 2026-08-01T16:42:34.792538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T16:42:34.792538Z digest=sha256:384d40be54501774014309fcda6a6d7d9db3d43d0288ad45be51b3eee75dafd5

Observation cc09620f-a3ce-4f30-9495-b88779b7e631 · inbound

Diagnosing Under-Development of Irreversible Processes in Video Generation cites this paper.

Diagnosing Under-Development of Irreversible Processes in Video Generation Adversarial Diffusion Distillation

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-05T00:38:17.308572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T00:38:17.308572Z digest=sha256:43d7a05de51c3645203bd2a11425c9434846e92cb4223de34aff5786de32b36c

Observation f9fe1eba-1bfb-4b28-a786-99e236942b95 · inbound

TASQ: Temporal-Adaptive Bit Sparsification Quantization for Diffusion Models cites this paper.

TASQ: Temporal-Adaptive Bit Sparsification Quantization for Diffusion Models Adversarial Diffusion Distillation

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-08T01:04:45.806210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T01:04:45.806210Z digest=sha256:0d25680d935a9e13d8889eac32653a0391f7cb0d9c53289f880f516b395e67fd