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Paper Citation Record · LEDGER

Fast High-Resolution Image Synthesis with Latent Adversarial Diffusion Distillation

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 40 inbound Pith citation observations for arXiv:2403.12015.

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

pith.paper-citation-record.v1
2403.12015 v1

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measured 0 of 0 reference resolution

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measured 40 of 40 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 40 of 40 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:53:12.632292Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T22:18:59.524522Z

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Outbound references

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Pith citing papers

Observation 37701069-d768-4bcd-827a-44247bff8dae · inbound

Diffusion Models Are Real-Time Game Engines cites this paper.

Diffusion Models Are Real-Time Game Engines Fast High-Resolution Image Synthesis with Latent Adversarial Diffusion Distillation

Reference 8

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arxiv_id, observed 2026-05-16T12:04:44.256796Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-16T12:04:44.162343Z digest=sha256:bf9960b1135a3df23f8472975bd68b6e8557db9e84866f9ccd765e70695d53ad

Observation cdd1cd3f-8861-4d53-a058-ec7f229b3132 · inbound

TextBoost: Boosting Text Encoder for Personalized Text-to-Image Generation cites this paper.

TextBoost: Boosting Text Encoder for Personalized Text-to-Image Generation Fast High-Resolution Image Synthesis with Latent Adversarial Diffusion Distillation

Reference 38

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arxiv_id, observed 2026-05-23T20:53:26.507891Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-23T20:50:21.184443Z digest=sha256:38006c0bfdc6c7a539b0acd87bf52675d90ae45a61dbf15fd3738c8c7a752a3e

Observation 39b3ee0c-d82f-4ed2-8312-4d01b556bf7d · 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 Fast High-Resolution Image Synthesis with Latent Adversarial Diffusion Distillation

Reference 188

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arxiv_id, observed 2026-05-12T15:09:37.119752Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-12T15:09:36.982610Z digest=sha256:07fa6516988630f0082da24c2f98e64c5d1fd005aa537abe93bc5d84278789c1

Observation 45fb45a1-3330-4aec-bc88-c40b53bc6143 · inbound

Adversarial Diffusion Compression for Real-World Image Super-Resolution cites this paper.

Adversarial Diffusion Compression for Real-World Image Super-Resolution Fast High-Resolution Image Synthesis with Latent Adversarial Diffusion Distillation

Reference 77

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source=pdf_text observed=2026-08-12T16:32:25.321204Z digest=sha256:904a229fa65d8576eec3a19a524ef235b381d5be423be906493ed3675aaefbcc

Observation a523d5b3-fff5-457c-8efc-7ba0a13945c7 · inbound

AnyEdit: Mastering Unified High-Quality Image Editing for Any Idea cites this paper.

AnyEdit: Mastering Unified High-Quality Image Editing for Any Idea Fast High-Resolution Image Synthesis with Latent Adversarial Diffusion Distillation

Reference 62

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source=pdf_text observed=2026-08-12T13:59:53.016595Z digest=sha256:f4df5dd870564e1c301722211d5d684afcb2ea6448ecd48a73c7caf2044bfece

Observation 68f8cda9-3bc8-4dce-bd3a-b492e370a1dd · inbound

Text-to-Image Synthesis: A Decade Survey cites this paper.

Text-to-Image Synthesis: A Decade Survey Fast High-Resolution Image Synthesis with Latent Adversarial Diffusion Distillation

Reference 120

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source=pdf_text observed=2026-08-12T13:33:38.747856Z digest=sha256:d1353b575023bbb4d6ba52028275d6e9d36a68757678b6d8b7a73e6c086584ca

Observation a5842f27-e9b7-402e-9174-be2f67c30eb9 · inbound

Efficient Video Face Enhancement with Enhanced Spatial-Temporal Consistency cites this paper.

Efficient Video Face Enhancement with Enhanced Spatial-Temporal Consistency Fast High-Resolution Image Synthesis with Latent Adversarial Diffusion Distillation

Reference 37

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source=pdf_text observed=2026-08-12T13:09:28.862877Z digest=sha256:bf8b35dd6ef12893ecf191d259fa79095e336f5b75b34671df87af0485eb5399

Observation 8dae8a06-b1a9-44d4-b608-45a4c9204f79 · inbound

Towards Precise Scaling Laws for Video Diffusion Transformers cites this paper.

Towards Precise Scaling Laws for Video Diffusion Transformers Fast High-Resolution Image Synthesis with Latent Adversarial Diffusion Distillation

Reference 45

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source=pdf_text observed=2026-08-12T12:58:57.253471Z digest=sha256:2a8f9ae3b00dd55590c5db2bde3c4767ed073f1bf8d535439dc27d10c7082ae0

Observation 5abea6df-cc68-4e13-94a9-148492ab5041 · inbound

Active Data Curation Effectively Distills Large-Scale Multimodal Models cites this paper.

Active Data Curation Effectively Distills Large-Scale Multimodal Models Fast High-Resolution Image Synthesis with Latent Adversarial Diffusion Distillation

Reference 136

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source=pdf_text observed=2026-08-12T11:06:36.222181Z digest=sha256:99b897746e8a22293a495e934c7090aa186a970604fab61372ccab1095032840

Observation 03622e32-6d97-4bc7-a543-4fff84314202 · inbound

DyMO: Training-Free Diffusion Model Alignment with Dynamic Multi-Objective Scheduling cites this paper.

DyMO: Training-Free Diffusion Model Alignment with Dynamic Multi-Objective Scheduling Fast High-Resolution Image Synthesis with Latent Adversarial Diffusion Distillation

Reference 34

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source=pdf_text observed=2026-08-12T05:07:10.270046Z digest=sha256:ffdaa86937d91478c06658098b9e2aad90379e5dfeb810fe03eaf6948e28d1d3

Observation 4451af1f-5520-4a46-b74d-d8a128c6fd50 · inbound

NitroFusion: High-Fidelity Single-Step Diffusion through Dynamic Adversarial Training cites this paper.

NitroFusion: High-Fidelity Single-Step Diffusion through Dynamic Adversarial Training Fast High-Resolution Image Synthesis with Latent Adversarial Diffusion Distillation

Reference 43

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source=pdf_text observed=2026-08-11T23:58:13.373104Z digest=sha256:eeb1059df8f823862fa0ee0ed9dd74402c8edd7efdca8ac27211651c17b8af0b

Observation e73628fd-8418-466b-8020-0547398e03b4 · inbound

HumanEdit: A High-Quality Human-Rewarded Dataset for Instruction-based Image Editing cites this paper.

HumanEdit: A High-Quality Human-Rewarded Dataset for Instruction-based Image Editing Fast High-Resolution Image Synthesis with Latent Adversarial Diffusion Distillation

Reference 17

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source=pdf_text observed=2026-08-11T21:35:11.327033Z digest=sha256:e003e3822a22db35b6e7ceb9e4eb66ce350f9279ffdb91826db50adfc50de399

Observation 41fe8266-d0b4-4aeb-aedf-950cef5c09f0 · inbound

Turbo3D: Ultra-fast Text-to-3D Generation cites this paper.

Turbo3D: Ultra-fast Text-to-3D Generation Fast High-Resolution Image Synthesis with Latent Adversarial Diffusion Distillation

Reference 38

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source=pdf_text observed=2026-08-11T21:28:22.103146Z digest=sha256:11718b6d83588cddaebd37385ab4e33013e6ccef82bbc1ee026528caed75c1f3

Observation 46790726-8762-451e-a370-fbda5a5999ed · inbound

BudgetFusion: Perceptually-Guided Adaptive Diffusion Models cites this paper.

BudgetFusion: Perceptually-Guided Adaptive Diffusion Models Fast High-Resolution Image Synthesis with Latent Adversarial Diffusion Distillation

Reference 50

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source=pdf_text observed=2026-08-11T20:29:03.342765Z digest=sha256:7fcf06642e82c9420b6c985a02fc4a98e36148541ec1ca8c6e4625d4258d789b

Observation f6ae7796-9e7a-47a9-9425-5286006430da · inbound

MoViE: Mobile Diffusion for Video Editing cites this paper.

MoViE: Mobile Diffusion for Video Editing Fast High-Resolution Image Synthesis with Latent Adversarial Diffusion Distillation

Reference 51

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no resolver link, observed 2026-08-11T19:34:26.564200Z

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source=pdf_text observed=2026-08-11T19:34:26.564200Z digest=sha256:5d32fb0285db1a082f995f2b8d0364c1839047fa76c0513f3d51cb34ea66ad9b

Observation 14a49987-c52b-4aec-9dba-65ed8f41c23f · inbound

Inference-Time Diffusion Model Distillation cites this paper.

Inference-Time Diffusion Model Distillation Fast High-Resolution Image Synthesis with Latent Adversarial Diffusion Distillation

Reference 39

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source=pdf_text observed=2026-08-11T17:33:53.728118Z digest=sha256:f5ce3dcf86ea7f08a030b9dbf5e01c46fcebe888e1e1c640c450b087381ca211

Observation d65ed79f-b208-4fcc-9f98-7084ee240027 · inbound

SnapGen: Taming High-Resolution Text-to-Image Models for Mobile Devices with Efficient Architectures and Training cites this paper.

SnapGen: Taming High-Resolution Text-to-Image Models for Mobile Devices with Efficient Architectures and Training Fast High-Resolution Image Synthesis with Latent Adversarial Diffusion Distillation

Reference 63

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source=pdf_text observed=2026-08-11T16:56:01.764122Z digest=sha256:753ce6e598048c55a7a090cf0ce35b6cd741f96af67e19bae48808d1667b9297

Observation 5e685d04-7fa7-4230-93f0-aab37c24fa0d · inbound

From Noise to Nuance: Advances in Deep Generative Image Models cites this paper.

From Noise to Nuance: Advances in Deep Generative Image Models Fast High-Resolution Image Synthesis with Latent Adversarial Diffusion Distillation

Reference 42

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source=pdf_text observed=2026-08-11T17:33:17.784570Z digest=sha256:26c965b17c38333efb6a3c75526b82d09352c5f0b02ebb3b8b34357a98cf2f85

Observation f6fa165d-b1e9-43fb-9c65-6a3013f8edb7 · inbound

SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device cites this paper.

SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device Fast High-Resolution Image Synthesis with Latent Adversarial Diffusion Distillation

Reference 51

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source=pdf_text observed=2026-08-11T15:58:36.096197Z digest=sha256:3c852ca8f9f9416c6ad0b52f7ee62ad244b8544aadbe73dcd767532a18e3a9c7

Observation 278b2049-5851-48a3-a8e3-08e808558bf5 · inbound

Progressive Compression with Universally Quantized Diffusion Models cites this paper.

Progressive Compression with Universally Quantized Diffusion Models Fast High-Resolution Image Synthesis with Latent Adversarial Diffusion Distillation

Reference 6

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source=pdf_text observed=2026-08-11T15:35:10.205316Z digest=sha256:662fb7cfb3ccfdd0d23b4db673e09239b25b6eacc7b5a38d59cfdb2a10abd8ff

Observation 3e7f0d9d-0a96-402b-9339-0706ad322ddd · inbound

Visual question answering: from early developments to recent advances -- a survey cites this paper.

Visual question answering: from early developments to recent advances -- a survey Fast High-Resolution Image Synthesis with Latent Adversarial Diffusion Distillation

Reference 152

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source=arxiv_source observed=2026-08-10T21:46:28.760030Z digest=sha256:7b722a6c6bd0cf5330dacb28370f0455edc13ca60ee9fe2512767cc53ecf2535

Observation 677cd170-9d33-4b20-8b2c-6139a4edeef2 · inbound

Elucidating the Preconditioning in Consistency Distillation cites this paper.

Elucidating the Preconditioning in Consistency Distillation Fast High-Resolution Image Synthesis with Latent Adversarial Diffusion Distillation

Reference 16

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source=pdf_text observed=2026-08-09T10:42:54.406306Z digest=sha256:caad154b287e51882b82f942ff7d21cd8b0c4d51b1d08e38c2ce036a4c1f5f76

Observation de8ac499-478a-47c4-be06-c0e71624748d · inbound

Text to Image Generation and Editing: A Survey cites this paper.

Text to Image Generation and Editing: A Survey Fast High-Resolution Image Synthesis with Latent Adversarial Diffusion Distillation

Reference 226

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no resolver link, observed 2026-08-16T00:53:12.632292Z

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source=pdf_text observed=2026-08-16T00:53:12.632292Z digest=sha256:d4deb13e95a19eb85028fcddb3b820d20e3d3ca9168588747de70a650eedfbf6

Observation ed7f4778-d3ce-4c88-ab56-728939fabc7c · inbound

Fast Text-to-Audio Generation with Adversarial Post-Training cites this paper.

Fast Text-to-Audio Generation with Adversarial Post-Training Fast High-Resolution Image Synthesis with Latent Adversarial Diffusion Distillation

Reference 10

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source=pdf_text observed=2026-08-15T22:09:43.373080Z digest=sha256:3f1e0a75c526fd44802fb42f94e0012f26c1f8b2566cb57b2b4fce5540f2ea0e

Observation db17a505-e019-450d-89eb-136380657e37 · inbound

Normalized Attention Guidance: Universal Negative Guidance for Diffusion Models cites this paper.

Normalized Attention Guidance: Universal Negative Guidance for Diffusion Models Fast High-Resolution Image Synthesis with Latent Adversarial Diffusion Distillation

Reference 52

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source=pdf_text observed=2026-08-07T13:42:37.840756Z digest=sha256:79cbae0c4ea8711155176451957874207d082aec4588846e89b276e4ed04a453

Observation 794e49ff-e5b5-4f1a-9889-30652133ff85 · 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 Fast High-Resolution Image Synthesis with Latent Adversarial Diffusion Distillation

Reference 17

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source=pdf_text observed=2026-08-07T04:55:39.303189Z digest=sha256:f7b8703e09cd02358780a144c9e74d1f6b423aaccffe719b3cb25040240faf00

Observation 40af2bab-2b73-408e-bff0-b227a85c3236 · inbound

Hidden Bias in the Machine: Stereotypes in Text-to-Image Models cites this paper.

Hidden Bias in the Machine: Stereotypes in Text-to-Image Models Fast High-Resolution Image Synthesis with Latent Adversarial Diffusion Distillation

Reference 21

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source=pdf_text observed=2026-08-07T05:18:48.062767Z digest=sha256:ed41b049805c9ac86122342e3382956d1f72972b0ed5e541ece0acaf569f2c0f

Observation 29f6b961-461a-45a5-92e7-687e65420f1b · inbound

Cost-Aware Routing for Efficient Text-To-Image Generation cites this paper.

Cost-Aware Routing for Efficient Text-To-Image Generation Fast High-Resolution Image Synthesis with Latent Adversarial Diffusion Distillation

Reference 20

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source=pdf_text observed=2026-08-15T19:53:40.672932Z digest=sha256:196ad01f08a9a36e5a5b0d417d12bf67f52c10bee4a88562d1dc6f05c97322e5

Observation d971d1d1-8555-4d8d-a39e-24823ef5acd8 · 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 Fast High-Resolution Image Synthesis with Latent Adversarial Diffusion Distillation

Reference 50

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arxiv_id, observed 2026-05-10T16:36:02.079624Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-10T16:36:02.016696Z digest=sha256:15e07df1e833a9f304981f61380fa18423b4ed9dfe3e7fccd697e905476d566b

Observation 4dd22a3e-4cda-4a02-9453-0aa14946d9a1 · inbound

How to Train your Text-to-Image Model: Evaluating Design Choices for Synthetic Training Captions cites this paper.

How to Train your Text-to-Image Model: Evaluating Design Choices for Synthetic Training Captions Fast High-Resolution Image Synthesis with Latent Adversarial Diffusion Distillation

Reference 33

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source=pdf_text observed=2026-08-15T19:25:24.289363Z digest=sha256:02553b9b7081aa9290d0aa503586780418242505ebbf5f8d2e53d9ed8c691d87

Observation 690a024a-0065-484b-b644-65adb1cdd8d7 · inbound

Inverse-and-Edit: Effective and Fast Image Editing by Cycle Consistency Models cites this paper.

Inverse-and-Edit: Effective and Fast Image Editing by Cycle Consistency Models Fast High-Resolution Image Synthesis with Latent Adversarial Diffusion Distillation

Reference 20

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source=arxiv_source observed=2026-08-15T18:41:41.763217Z digest=sha256:e374d5df954bbc339ac5265c120070a783114ec2e5fd1ce4178c726265b5048e

Observation 48382217-9591-4ada-baec-7863e67baf59 · 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 Fast High-Resolution Image Synthesis with Latent Adversarial Diffusion Distillation

Reference 50

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source=pdf_text observed=2026-08-06T21:07:31.333439Z digest=sha256:ca79081b41dcaa136810689f02c74cc8f77e65e108404d251e43f122a86ba48a

Observation 83f0a33c-5c46-4b04-a845-b1a0c77fb00d · inbound

Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis cites this paper.

Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis Fast High-Resolution Image Synthesis with Latent Adversarial Diffusion Distillation

Reference 60

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source=pdf_text observed=2026-08-06T14:37:36.964741Z digest=sha256:3fee86f99c8d9e78f0a2d1b1d974bce09e8abf3721c46c4878150a71abd3ce68

Observation c2630b46-6348-4a3a-8ff0-c975fe614cf0 · inbound

ShortFT: Diffusion Model Alignment via Shortcut-based Fine-Tuning cites this paper.

ShortFT: Diffusion Model Alignment via Shortcut-based Fine-Tuning Fast High-Resolution Image Synthesis with Latent Adversarial Diffusion Distillation

Reference 40

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source=pdf_text observed=2026-08-06T11:32:42.881489Z digest=sha256:61e70109227437001c44cb9ec4c735f695dc2b63f4212b3eb0b0f112b6e629b3

Observation 22c50600-9472-47d7-9329-7c30b22157c8 · inbound

Self-Adversarial One Step Generation via Condition Shifting cites this paper.

Self-Adversarial One Step Generation via Condition Shifting Fast High-Resolution Image Synthesis with Latent Adversarial Diffusion Distillation

Reference 22

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arxiv_id, observed 2026-05-11T10:11:01.826415Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-10T15:37:36.994169Z digest=sha256:1da2c8c139f6e906f9ba490b7747060aa811e83e626313e1f5c6a65ae8658787

Observation ec119fd6-64cb-4e74-a3bb-9ee6f9ac7c80 · inbound

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

Language-Assisted Super-Resolution from Real-World Low-Resolution Patches Fast High-Resolution Image Synthesis with Latent Adversarial Diffusion Distillation

Reference 114

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arxiv_id, observed 2026-07-01T10:05:41.454516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-07-01T05:49:20.689248Z digest=sha256:14bd048f33e116c615c623b83fbbc270ba8821b995c484a777b7c1d580d0e357

Observation ab712c3b-911d-437a-b2b1-dc88c0a73779 · inbound

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

Language-Assisted Super-Resolution from Real-World Low-Resolution Patches Fast High-Resolution Image Synthesis with Latent Adversarial Diffusion Distillation

Reference 114

Resolution
verified exact
arxiv_id, observed 2026-07-03T22:18:59.526957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-07-03T22:14:30.734906Z digest=sha256:fef5992c174ee7dbe0089d9039651b0e255d3728a5024ab8a55c974bf02bf3ac

Observation c4c75d55-4ff7-4074-a27b-e67fca0d10be · inbound

Efficient Difficulty-Aware Dynamic Routing for Diffusion-Based Real-World Image Super-Resolution cites this paper.

Efficient Difficulty-Aware Dynamic Routing for Diffusion-Based Real-World Image Super-Resolution Fast High-Resolution Image Synthesis with Latent Adversarial Diffusion Distillation

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-01T22:34:35.758195Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:34:35.758195Z digest=sha256:bcf9d55b2bfa5c407112869e77dbd91dab538c4118c38ea8631445732ac804f2

Observation e4c22d4e-3882-4d1a-a51d-e99abddeaf8b · inbound

From Bit-Position Sensitivity to Unequal Error Protection for DNN Inference Memory cites this paper.

From Bit-Position Sensitivity to Unequal Error Protection for DNN Inference Memory Fast High-Resolution Image Synthesis with Latent Adversarial Diffusion Distillation

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-01T12:20:10.041604Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T12:20:10.041604Z digest=sha256:ccfaa590fb4256e13fb5d03abd6db76ab84cfb5329040d6810325b277fc20b13

Observation 393b24fe-1a90-42a5-a951-4b22b9068ac2 · inbound

DUET: A Diversity-Quality Duet of Distillation Experts for Two-Step Video Generation cites this paper.

DUET: A Diversity-Quality Duet of Distillation Experts for Two-Step Video Generation Fast High-Resolution Image Synthesis with Latent Adversarial Diffusion Distillation

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-11T13:43:35.668625Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:43:35.668625Z digest=sha256:9efcae20919c255ce167c56ce5706d28f1480116eff3c3f1788421f50e5a4d00