Text Embedding Knows How to Quantize Text-Guided Diffusion Models | Paper Citation Record

Observation 060bcccb-be3b-4955-abf7-57e8144f59e1 · outbound

This paper cites an unresolved cited work.

Text Embedding Knows How to Quantize Text-Guided Diffusion Models Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-06T17:40:19.319753Z

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.

Observation 6636a10e-14ab-44ad-88cc-6b32e3a18d0a · outbound

This paper cites an unresolved cited work.

Text Embedding Knows How to Quantize Text-Guided Diffusion Models Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-06T17:40:19.304676Z

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.

Observation 16c16034-acc9-42f5-babd-616579a769d2 · outbound

This paper cites eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers.

Text Embedding Knows How to Quantize Text-Guided Diffusion Models eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T17:40:15.105103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 155272a7-720d-45d1-9fcf-ef21a645cf26 · outbound

This paper cites Analytic- DPM: An analytic estimate of the optimal reverse variance in diffusion probabilistic models.

Text Embedding Knows How to Quantize Text-Guided Diffusion Models Analytic- DPM: An analytic estimate of the optimal reverse variance in diffusion probabilistic models

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:40:19.287003Z

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.

Observation 1606b075-803f-481c-aa47-c1c544cd01a9 · outbound

This paper cites Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation.

Text Embedding Knows How to Quantize Text-Guided Diffusion Models Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T17:40:15.211268Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2293eed1-7868-4f16-80c7-da89fdc3aa75 · outbound

This paper cites Improving image generation with better captions.

Text Embedding Knows How to Quantize Text-Guided Diffusion Models Improving image generation with better captions

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:40:19.269637Z

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.

Observation 8fe93053-723f-4665-a7f4-8ac4589110a3 · outbound

This paper cites PACT: Parameterized Clipping Activation for Quantized Neural Networks.

Text Embedding Knows How to Quantize Text-Guided Diffusion Models PACT: Parameterized Clipping Activation for Quantized Neural Networks

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T17:40:15.338336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 179d6b59-509d-4b47-94cf-47e9192deb59 · outbound

This paper cites Perception pri- oritized training of diffusion models.

Text Embedding Knows How to Quantize Text-Guided Diffusion Models Perception pri- oritized training of diffusion models

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:40:19.251330Z

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.

Observation 77476e07-5360-403c-8f1d-732de5657285 · outbound

This paper cites QNCD: Quantization Noise Correction for Diffusion Models.

Text Embedding Knows How to Quantize Text-Guided Diffusion Models QNCD: Quantization Noise Correction for Diffusion Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T17:40:15.454422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bccf50b9-3ceb-46a5-8852-6338f0765db5 · outbound

This paper cites Mix- Path: A unified approach for one-shot neural architecture search.

Text Embedding Knows How to Quantize Text-Guided Diffusion Models Mix- Path: A unified approach for one-shot neural architecture search

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:40:19.234223Z

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.

Observation 4bbac8a2-d061-470d-b1c1-bfce64125017 · outbound

This paper cites HAWQ: Hessian aware quantiza- tion of neural networks with mixed-precision.

Text Embedding Knows How to Quantize Text-Guided Diffusion Models HAWQ: Hessian aware quantiza- tion of neural networks with mixed-precision

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:40:19.216622Z

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.

Observation d237404f-23f9-4e3d-adcb-bb3027352a89 · outbound

This paper cites Generative adversarial nets.

Text Embedding Knows How to Quantize Text-Guided Diffusion Models Generative adversarial nets

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:40:19.199553Z

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.

Observation 2a2f5249-4497-41d9-9927-0f51e27a0951 · outbound

This paper cites GIQA: Generated image quality assessment.

Text Embedding Knows How to Quantize Text-Guided Diffusion Models GIQA: Generated image quality assessment

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:40:19.182488Z

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.

Observation 9dba14df-1df8-4a42-8153-9f05a54854fb · outbound

This paper cites Learning both weights and connections for efficient neural network.

Text Embedding Knows How to Quantize Text-Guided Diffusion Models Learning both weights and connections for efficient neural network

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:40:19.165016Z

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.

Observation 9621181b-7094-49a2-b10e-f5ff616eeab0 · outbound

This paper cites PTQD: Accurate post-training quantization for diffusion models.

Text Embedding Knows How to Quantize Text-Guided Diffusion Models PTQD: Accurate post-training quantization for diffusion models

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:40:19.148005Z

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.

Observation ae73b4b8-6d4c-4792-b9c1-9210f337ea09 · outbound

This paper cites CLIPScore: A reference-free evaluation metric for image captioning.

Text Embedding Knows How to Quantize Text-Guided Diffusion Models CLIPScore: A reference-free evaluation metric for image captioning

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:40:19.130061Z

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.

Observation d600dbcc-38d0-4083-85ff-11818eef8f20 · outbound

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

Text Embedding Knows How to Quantize Text-Guided Diffusion Models GANs trained by a two time-scale update rule converge to a local nash equilib- rium

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:40:19.112296Z

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.

Observation 2712aee2-85ba-4571-882a-2a8ad47d2ad3 · outbound

This paper cites Denoising diffu- sion probabilistic models.

Text Embedding Knows How to Quantize Text-Guided Diffusion Models Denoising diffu- sion probabilistic models

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:40:19.094651Z

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.

Observation 78bb9e20-1ffb-4983-b744-75d9c9d20a92 · outbound

This paper cites AdaBM: On-the-fly adaptive bit mapping for image super-resolution.

Text Embedding Knows How to Quantize Text-Guided Diffusion Models AdaBM: On-the-fly adaptive bit mapping for image super-resolution

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:40:19.077929Z

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.

Observation 9d081323-e372-4627-894e-85e6fc7d2f66 · outbound

This paper cites CADyQ: Content-aware dynamic quantization for image super-resolution.

Text Embedding Knows How to Quantize Text-Guided Diffusion Models CADyQ: Content-aware dynamic quantization for image super-resolution

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:40:19.060401Z

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.

Observation f8a21641-4b5d-4ee9-b3ad-3cf54ea1ddb5 · outbound

This paper cites BK-SDM: A lightweight, fast, and cheap version of stable diffusion.

Text Embedding Knows How to Quantize Text-Guided Diffusion Models BK-SDM: A lightweight, fast, and cheap version of stable diffusion

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:40:19.043778Z

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.

Observation da97c0eb-cd58-4527-83b4-b43e773640df · outbound

This paper cites Adam: A method for stochastic optimization.

Text Embedding Knows How to Quantize Text-Guided Diffusion Models Adam: A method for stochastic optimization

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:40:19.028063Z

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.

Observation feda5933-b1d3-46a5-b48b-815f01fddbf8 · outbound

This paper cites Pick-a-Pic: An open dataset of user preferences for text-to-image generation.

Text Embedding Knows How to Quantize Text-Guided Diffusion Models Pick-a-Pic: An open dataset of user preferences for text-to-image generation

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:40:19.012266Z

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.

Observation 00acbf8f-6085-4321-8698-4a5e44f2b201 · outbound

This paper cites Improved precision and recall met- ric for assessing generative models.

Text Embedding Knows How to Quantize Text-Guided Diffusion Models Improved precision and recall met- ric for assessing generative models

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:40:18.994819Z

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.

Observation 83f823bf-9662-4607-a017-3a9c3aa537f5 · outbound

This paper cites RefQSR: Reference-based quantization for image super-resolution networks.

Text Embedding Knows How to Quantize Text-Guided Diffusion Models RefQSR: Reference-based quantization for image super-resolution networks

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:40:18.979081Z

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.

Observation 1171589e-b1e9-4c8f-8c0d-5a7c644d738f · outbound

This paper cites Auto- mated knowledge distillation via monte carlo tree search.

Text Embedding Knows How to Quantize Text-Guided Diffusion Models Auto- mated knowledge distillation via monte carlo tree search

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:40:18.962380Z

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.

Observation 74e1c134-50bc-400f-bf2a-5ebdde918c60 · outbound

This paper cites 9 Q-diffusion: Quantizing diffusion models.

Text Embedding Knows How to Quantize Text-Guided Diffusion Models 9 Q-diffusion: Quantizing diffusion models

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:40:18.947169Z

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.

Observation e771f4f7-61cb-4fab-9276-e6a7c8c95dda · outbound

This paper cites BRECQ: Push- ing the limit of post-training quantization by block recon- struction.

Text Embedding Knows How to Quantize Text-Guided Diffusion Models BRECQ: Push- ing the limit of post-training quantization by block recon- struction

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:40:18.931336Z

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.

Observation 0f6105a8-6909-4013-88e4-0949a35baf3d · outbound

This paper cites Snap- Fusion: Text-to-image diffusion model on mobile devices within two seconds.

Text Embedding Knows How to Quantize Text-Guided Diffusion Models Snap- Fusion: Text-to-image diffusion model on mobile devices within two seconds

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:40:18.915037Z

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.

Observation 7ad1520f-c584-45bb-bcb8-2c90122cb519 · outbound

This paper cites Microsoft COCO: Common objects in context.

Text Embedding Knows How to Quantize Text-Guided Diffusion Models Microsoft COCO: Common objects in context

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:40:18.899538Z

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.

Observation a9f4984e-d339-4a32-a9e9-502b2dbbddd0 · outbound

This paper cites Progressive neural architecture search.

Text Embedding Knows How to Quantize Text-Guided Diffusion Models Progressive neural architecture search

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:40:18.883078Z

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.

Observation 87e90a76-304a-44ec-95ab-787293c2da21 · outbound

This paper cites Pseudo nu- merical methods for diffusion models on manifolds.

Text Embedding Knows How to Quantize Text-Guided Diffusion Models Pseudo nu- merical methods for diffusion models on manifolds

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:40:18.867487Z

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.

Observation 7b3a6144-c743-437d-8910-061f34d42307 · outbound

This paper cites Instance-aware dynamic neural network quantization.

Text Embedding Knows How to Quantize Text-Guided Diffusion Models Instance-aware dynamic neural network quantization

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:40:18.852241Z

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.

Observation 41a165e2-fb78-4b33-b3cd-5701fd57e8f8 · outbound

This paper cites DPM-Solver: A fast ODE solver for dif- fusion probabilistic model sampling in around 10 steps.

Text Embedding Knows How to Quantize Text-Guided Diffusion Models DPM-Solver: A fast ODE solver for dif- fusion probabilistic model sampling in around 10 steps

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:40:18.835332Z

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.

Observation f3c0f54b-ffbc-4f99-aca3-ecda1373f496 · outbound

This paper cites On distillation of guided diffusion models.

Text Embedding Knows How to Quantize Text-Guided Diffusion Models On distillation of guided diffusion models

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:40:18.818333Z

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.

Observation cacfc6a8-47f0-43fb-9598-f958f74d904a · outbound

This paper cites Improved denoising diffusion probabilistic models.

Text Embedding Knows How to Quantize Text-Guided Diffusion Models Improved denoising diffusion probabilistic models

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:40:18.802807Z

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.

Observation 59b7abe0-d61c-4406-a90e-ed551aa3d77b · outbound

This paper cites CUTLASS, 2025.

Text Embedding Knows How to Quantize Text-Guided Diffusion Models CUTLASS, 2025

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:40:18.786909Z

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.

Observation b13c3a4b-83ce-4241-9ed6-efc4338d634a · outbound

This paper cites Softmax bias correction for quantized generative models.

Text Embedding Knows How to Quantize Text-Guided Diffusion Models Softmax bias correction for quantized generative models

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:40:18.770961Z

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.

Observation 4942ad4c-7654-4c28-9f2f-b967a1a66d97 · outbound

This paper cites Notes on regression and inheritance in the case of two parents.

Text Embedding Knows How to Quantize Text-Guided Diffusion Models Notes on regression and inheritance in the case of two parents

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:40:18.755209Z

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.

Observation bc6e60ee-e296-4dfc-811c-944690eb9951 · outbound

This paper cites SDXL: Improving latent diffusion mod- els for high-resolution image synthesis.

Text Embedding Knows How to Quantize Text-Guided Diffusion Models SDXL: Improving latent diffusion mod- els for high-resolution image synthesis

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:40:18.739903Z

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.

Observation cf62d1b3-fba3-48ef-96a8-e40f35b34401 · outbound

This paper cites Learn- ing transferable visual models from natural language super- vision.

Text Embedding Knows How to Quantize Text-Guided Diffusion Models Learn- ing transferable visual models from natural language super- vision

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:40:18.724765Z

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.

Observation 5cd6ebfd-43d6-41d9-8f2d-20522d72e8c5 · outbound

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

Text Embedding Knows How to Quantize Text-Guided Diffusion Models High-resolution image synthesis with latent diffusion models

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:40:18.709009Z

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.

Observation 5c3fac90-e1a0-4e62-8f91-25ec76dc695a · outbound

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

Text Embedding Knows How to Quantize Text-Guided Diffusion Models DreamBooth: Fine tuning text-to-image diffusion models for subject-driven generation

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:40:18.693539Z

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.

Observation 32dc09dd-ab58-4139-95fb-2504ce8d4eb3 · outbound

This paper cites Memory- efficient personalization using quantized diffusion model.

Text Embedding Knows How to Quantize Text-Guided Diffusion Models Memory- efficient personalization using quantized diffusion model

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:40:18.677220Z

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.

Observation c90a20ff-1e94-4c5d-9147-9849141c0bed · outbound

This paper cites Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding.

Text Embedding Knows How to Quantize Text-Guided Diffusion Models Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:40:18.661884Z

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.

Observation 15097128-8dd9-477a-a28f-562eca9b6bdc · outbound

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

Text Embedding Knows How to Quantize Text-Guided Diffusion Models Progressive distillation for fast sampling of diffusion models

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:40:18.647642Z

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.

Observation 2d253f76-ab38-4254-90a7-a41303bc6409 · outbound

This paper cites Improved techniques for training gans.

Text Embedding Knows How to Quantize Text-Guided Diffusion Models Improved techniques for training gans

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:40:18.632575Z

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.

Observation 8da39939-1139-4280-a8fa-120a8f091a3d · outbound

This paper cites Post-training quantization on diffusion models.

Text Embedding Knows How to Quantize Text-Guided Diffusion Models Post-training quantization on diffusion models

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:40:18.617409Z

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.

Observation 6feeca65-e7c8-4b12-95ee-186342426aee · outbound

This paper cites Conceptual captions: A cleaned, hypernymed, im- age alt-text dataset for automatic image captioning.

Text Embedding Knows How to Quantize Text-Guided Diffusion Models Conceptual captions: A cleaned, hypernymed, im- age alt-text dataset for automatic image captioning

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:40:18.602197Z

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.

Observation 119d9fc9-403b-4362-85bf-81b3d754019c · outbound

This paper cites Temporal dynamic quantization for dif- fusion models.

Text Embedding Knows How to Quantize Text-Guided Diffusion Models Temporal dynamic quantization for dif- fusion models

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:40:18.586316Z

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.

Observation 8da7fceb-e2d7-4fdd-abb7-df865932591b · outbound

This paper cites Denois- ing diffusion implicit models.

Text Embedding Knows How to Quantize Text-Guided Diffusion Models Denois- ing diffusion implicit models

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:40:18.571347Z

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.

Observation ac7e1816-0580-4e89-a12a-f95c495cfd1a · outbound

This paper cites The proof and measurement of associa- tion between two things.

Text Embedding Knows How to Quantize Text-Guided Diffusion Models The proof and measurement of associa- tion between two things

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:40:18.554038Z

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.

Observation 2e5312b3-aabb-4f02-972e-c43782fe5f4a · outbound

This paper cites CHIP: Channel independence- based pruning for compact neural networks.

Text Embedding Knows How to Quantize Text-Guided Diffusion Models CHIP: Channel independence- based pruning for compact neural networks

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:40:18.537095Z

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.

Observation 7403a570-272f-43ed-b07f-40649c539821 · outbound

This paper cites Post-training quan- tization with progressive calibration and activation relaxing for text-to-image diffusion models.

Text Embedding Knows How to Quantize Text-Guided Diffusion Models Post-training quan- tization with progressive calibration and activation relaxing for text-to-image diffusion models

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:40:18.520529Z

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.

Observation 8ea44325-bf06-4c62-ae84-580b9e4d2cc2 · outbound

This paper cites Post-training quan- tization with progressive calibration and activation relaxing for text-to-image diffusion models.

Text Embedding Knows How to Quantize Text-Guided Diffusion Models Post-training quan- tization with progressive calibration and activation relaxing for text-to-image diffusion models

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:40:18.505550Z

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.

Observation 7c668848-8bed-449c-a1bf-ad0dddc1fa89 · outbound

This paper cites CABM: Content-aware bit map- ping for single image super-resolution network with large input.

Text Embedding Knows How to Quantize Text-Guided Diffusion Models CABM: Content-aware bit map- ping for single image super-resolution network with large input

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:40:18.490045Z

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.

Observation d0c04ab3-489d-442d-9044-4e4b70ca7c8b · outbound

This paper cites Bayesian bits: Unifying quantization and pruning.

Text Embedding Knows How to Quantize Text-Guided Diffusion Models Bayesian bits: Unifying quantization and pruning

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:40:18.475020Z

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.

Observation f7bf8cdb-c51f-493d-a82b-63864e15c483 · outbound

This paper cites Ex- ploring clip for assessing the look and feel of images.

Text Embedding Knows How to Quantize Text-Guided Diffusion Models Ex- ploring clip for assessing the look and feel of images

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:40:18.458893Z

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.

Observation 717dde72-6bb4-49e1-839c-977a35324c3e · outbound

This paper cites HAQ: Hardware-aware automated quantization with mixed precision.

Text Embedding Knows How to Quantize Text-Guided Diffusion Models HAQ: Hardware-aware automated quantization with mixed precision

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:40:18.441427Z

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.

Observation e4f56b2a-f58c-4dab-adbb-df842be49e39 · outbound

This paper cites ImageRe- ward: Learning and evaluating human preferences for text- to-image generation.

Text Embedding Knows How to Quantize Text-Guided Diffusion Models ImageRe- ward: Learning and evaluating human preferences for text- to-image generation

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:40:18.424164Z

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.

Observation 669ce22b-dd38-4d2f-9c28-58f0df567642 · outbound

This paper cites Online knowledge distillation via mutual contrastive learning for visual recog- nition.

Text Embedding Knows How to Quantize Text-Guided Diffusion Models Online knowledge distillation via mutual contrastive learning for visual recog- nition

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:40:18.406940Z

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.

Observation bea83efc-14c3-4912-bbe7-9f708293e45d · outbound

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

Text Embedding Knows How to Quantize Text-Guided Diffusion Models Adding conditional control to text-to-image diffusion models

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:40:18.389789Z

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.

Observation 20b497c2-47ce-4ffd-a69c-d4cc179bde05 · outbound

This paper cites proj in” which leverages the denoised image latent passed into the cross-attention block, (2) “at2.to v.

Text Embedding Knows How to Quantize Text-Guided Diffusion Models proj in” which leverages the denoised image latent passed into the cross-attention block, (2) “at2.to v

Reference 63

Resolution: malformed identifier; raw_fallback, observed 2026-08-06T17:40:18.372423Z

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.

Coverage vector

Reference resolution

Outbound references

Pith citing papers