Reflective Flow Sampling Enhancement | Paper Citation Record

Observation d456a0c6-1b1c-4fea-9e96-76747aea1bfd · outbound

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

Reflective Flow Sampling Enhancement High- resolution image synthesis with latent diffusion models

Reference 1

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Observation 6bb2e4f3-0f0a-459d-bcd6-a7137f38fde4 · outbound

This paper cites an unresolved cited work.

Reflective Flow Sampling Enhancement Unresolved cited work

Reference 2

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Observation fe1ef081-81ed-4f58-bb0f-02d94592c9e7 · outbound

This paper cites Flux.1 lite: Distilling flux1.dev for efficient text-to- image generation.

Reflective Flow Sampling Enhancement Flux.1 lite: Distilling flux1.dev for efficient text-to- image generation

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T15:31:11.519798Z

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Observation 2359eba9-aa84-46e9-8833-150aa29de8d4 · outbound

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

Reflective Flow Sampling Enhancement Scaling Rectified Flow Transformers for High-Resolution Image Synthesis

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-05-15T15:31:11.086345Z

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Observation 61ca7c64-740d-4c8d-9224-f01e362ec591 · outbound

This paper cites Diffusion models: A comprehensive survey of methods and applications.

Reflective Flow Sampling Enhancement Diffusion models: A comprehensive survey of methods and applications

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T15:31:11.528595Z

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Observation 1e8e442e-077d-4bda-acc1-c4c805035bdb · outbound

This paper cites Flow Matching for Generative Modeling.

Reflective Flow Sampling Enhancement Flow Matching for Generative Modeling

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-05-15T15:31:11.069695Z

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Observation ec2747e5-4946-4e23-b9a9-1588da0246a2 · outbound

This paper cites Denoising diffusion probabilistic models.

Reflective Flow Sampling Enhancement Denoising diffusion probabilistic models

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T15:31:11.537867Z

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Observation 98ebe7f0-e7a8-4a49-a6e6-6acda6104acd · outbound

This paper cites Golden Noise for Diffusion Models: A Learning Framework.

Reflective Flow Sampling Enhancement Golden Noise for Diffusion Models: A Learning Framework

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-15T15:31:11.109437Z

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Observation 46622fa4-4236-42c5-857a-a22f7957057d · outbound

This paper cites A General Framework for Inference-time Scaling and Steering of Diffusion Models.

Reflective Flow Sampling Enhancement A General Framework for Inference-time Scaling and Steering of Diffusion Models

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-15T15:31:11.101726Z

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Observation 94161167-5b83-41a7-b124-3f009d2391c5 · outbound

This paper cites Classifier-Free Diffusion Guidance.

Reflective Flow Sampling Enhancement Classifier-Free Diffusion Guidance

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-05-15T15:31:11.116256Z

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Observation 1569f9a1-26ff-4ad5-a353-da9e2141908c · outbound

This paper cites Zigzag diffusion sampling: Diffusion models can self-improve via self-reflection.

Reflective Flow Sampling Enhancement Zigzag diffusion sampling: Diffusion models can self-improve via self-reflection

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T15:31:11.532877Z

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Observation 1bbdbaf6-d938-4efc-86d9-f4f158dcf40d · outbound

This paper cites Guidance matters: Rethinking the evaluation pitfall for text-to-image generation.

Reflective Flow Sampling Enhancement Guidance matters: Rethinking the evaluation pitfall for text-to-image generation

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T15:31:11.515861Z

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Observation 036e0615-3510-4008-b0f0-4e944d759b8f · outbound

This paper cites CoRe^2: Collect, Reflect and Refine to Generate Better and Faster.

Reflective Flow Sampling Enhancement CoRe^2: Collect, Reflect and Refine to Generate Better and Faster

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-15T15:31:11.094135Z

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Observation 860afc27-0dee-4192-acd9-b4d74a43d8cb · outbound

This paper cites Denoising diffusion implicit models.

Reflective Flow Sampling Enhancement Denoising diffusion implicit models

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T15:31:11.542197Z

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Observation 378cf7ea-e692-42b2-8336-0cac1f486f5d · outbound

This paper cites CFG-Zero*: Improved Classifier-Free Guidance for Flow Matching Models.

Reflective Flow Sampling Enhancement CFG-Zero*: Improved Classifier-Free Guidance for Flow Matching Models

Reference 17

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T15:31:11.123490Z

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Observation 5ec4afe1-26e7-4ea6-a2a4-7450d7f88949 · outbound

This paper cites On distillation of guided diffusion models.

Reflective Flow Sampling Enhancement On distillation of guided diffusion models

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T15:31:11.622941Z

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Observation 5d7c11a5-3a0b-4801-a413-ec730eac9224 · outbound

This paper cites The Silent Assistant: NoiseQuery as Implicit Guidance for Goal-Driven Image Generation.

Reflective Flow Sampling Enhancement The Silent Assistant: NoiseQuery as Implicit Guidance for Goal-Driven Image Generation

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-15T15:31:11.224361Z

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Observation dea1f57f-fdc7-4611-a13a-993b6d2b6029 · outbound

This paper cites Synthetic Shifts to Initial Seed Vector Exposes the Brittle Nature of Latent-Based Diffusion Models.

Reflective Flow Sampling Enhancement Synthetic Shifts to Initial Seed Vector Exposes the Brittle Nature of Latent-Based Diffusion Models

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-15T15:31:11.199031Z

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Observation aa7e3838-a494-47fc-ac65-823996fa5c98 · outbound

This paper cites Weak-to-Strong Diffusion with Reflection.

Reflective Flow Sampling Enhancement Weak-to-Strong Diffusion with Reflection

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-15T15:31:11.218450Z

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Observation 92ec2d87-80c8-4e91-ac2e-5b45b74513aa · outbound

This paper cites Pixelcnn++: Improving the pixelcnn with discretized logistic mixture likelihood and other modifications.

Reflective Flow Sampling Enhancement Pixelcnn++: Improving the pixelcnn with discretized logistic mixture likelihood and other modifications

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T15:31:11.600376Z

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Observation 08e3554b-1144-44ed-abaf-468f4d41d713 · outbound

This paper cites Generative pretraining from pixels.

Reflective Flow Sampling Enhancement Generative pretraining from pixels

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T15:31:11.551005Z

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Observation 674f5b5c-f8ea-4406-859d-da912e9819d6 · outbound

This paper cites Generative adversarial nets.

Reflective Flow Sampling Enhancement Generative adversarial nets

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T15:31:11.627212Z

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Observation 7495d590-3c27-4250-868a-2ec843863045 · outbound

This paper cites Conditional Generative Adversarial Nets.

Reflective Flow Sampling Enhancement Conditional Generative Adversarial Nets

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-05-15T15:31:11.213482Z

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Observation 5647cbc3-bef6-4757-b8bd-3061bd73d61d · outbound

This paper cites Classifier-free diffusion guidance.

Reflective Flow Sampling Enhancement Classifier-free diffusion guidance

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T15:31:11.632480Z

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Observation 9628cddd-deab-4a4c-987f-4f4142aa83ea · outbound

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

Reflective Flow Sampling Enhancement Snapfusion: Text-to-image diffusion model on mobile devices within two seconds

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T15:31:11.574090Z

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Observation 6c2ae53c-d290-4505-a87b-c20b8571f53e · outbound

This paper cites Guided Flows for Generative Modeling and Decision Making.

Reflective Flow Sampling Enhancement Guided Flows for Generative Modeling and Decision Making

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-15T15:31:11.130947Z

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Observation 0c0299d9-fe00-42cb-8c35-744cba8cd7ee · outbound

This paper cites Generative modeling by estimating gradients of the data distribution.

Reflective Flow Sampling Enhancement Generative modeling by estimating gradients of the data distribution

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T15:31:11.591170Z

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Observation 0bf5be61-0def-4f5d-a137-4c679e04f4e9 · outbound

This paper cites Human preference score v2: A solid benchmark for evaluating human preferences of text-to-image synthesis.

Reflective Flow Sampling Enhancement Human preference score v2: A solid benchmark for evaluating human preferences of text-to-image synthesis

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T15:31:11.609166Z

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Observation c89f9f9d-5738-4250-ae59-4d300b12c32e · outbound

This paper cites Applying guidance in a limited interval improves sample and distribution quality in diffusion models.

Reflective Flow Sampling Enhancement Applying guidance in a limited interval improves sample and distribution quality in diffusion models

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T15:31:11.613947Z

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Observation 6c1abd9b-b804-48ec-84b3-782ee4b3ea8d · outbound

This paper cites Cfg++: Manifold-constrained classifier free guidance for diffusion models.

Reflective Flow Sampling Enhancement Cfg++: Manifold-constrained classifier free guidance for diffusion models

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T15:31:11.582763Z

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Observation 55a198b7-e61f-4f1c-bee4-9f0d34ebb1b4 · outbound

This paper cites CFG++: Manifold-constrained Classifier Free Guidance for Diffusion Models.

Reflective Flow Sampling Enhancement CFG++: Manifold-constrained Classifier Free Guidance for Diffusion Models

Reference 33

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T15:31:11.191227Z

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Observation adb729fc-1690-4494-8c75-42583c77c11b · outbound

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

Reflective Flow Sampling Enhancement Pick-a-pic: An open dataset of user preferences for text-to-image generation

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T15:31:11.565505Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 4da34a19-26cb-46aa-8313-7d1767a1db37 · outbound

This paper cites Photorealistic text-to-image diffusion models with deep language understanding.

Reflective Flow Sampling Enhancement Photorealistic text-to-image diffusion models with deep language understanding

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T15:31:11.652171Z

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Observation f920bd97-eed9-466e-a621-1e22b3f34286 · outbound

This paper cites GenEval: An Object-Focused Framework for Evaluating Text-to-Image Alignment.

Reflective Flow Sampling Enhancement GenEval: An Object-Focused Framework for Evaluating Text-to-Image Alignment

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-15T15:31:11.138878Z

Source-reported events for the cited work

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Observation 2fe1eaac-35f9-43b8-af49-96657a931936 · outbound

This paper cites T2i-compbench: A comprehensive benchmark for open-world compositional text-to-image generation.

Reflective Flow Sampling Enhancement T2i-compbench: A comprehensive benchmark for open-world compositional text-to-image generation

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T15:31:11.595846Z

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Observation 0d7a0b29-5535-4847-8bdd-c46ef55f5103 · outbound

This paper cites ChronoMagic-Bench: A Benchmark for Metamorphic Evaluation of Text-to-Time-lapse Video Generation.

Reflective Flow Sampling Enhancement ChronoMagic-Bench: A Benchmark for Metamorphic Evaluation of Text-to-Time-lapse Video Generation

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-15T15:31:11.206507Z

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Observation 61b805ae-a084-43c0-a1cc-85027d47fd2a · outbound

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

Reflective Flow Sampling Enhancement FLUX.1 Kontext: Flow Matching for In-Context Image Generation and Editing in Latent Space

Reference 39

Resolution: verified exact; local_arxiv, observed 2026-05-15T15:31:11.161786Z

Source-reported events for the cited work

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Observation 879dad59-2b76-41ce-8e41-1b4372ac678a · outbound

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

Reflective Flow Sampling Enhancement Imagereward: Learning and evaluating human preferences for text-to- image generation

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T15:31:11.587018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 71560a2f-b6c1-4d00-9198-f79299870d04 · outbound

This paper cites Improved aesthetic predictor.

Reflective Flow Sampling Enhancement Improved aesthetic predictor

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T15:31:11.604289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 57a80c44-fd26-4f08-b984-e8ffd04db121 · outbound

This paper cites Wan: Open and Advanced Large-Scale Video Generative Models.

Reflective Flow Sampling Enhancement Wan: Open and Advanced Large-Scale Video Generative Models

Reference 42

Resolution: verified exact; local_arxiv, observed 2026-05-15T15:31:11.176068Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 7c4c6d4d-972f-4f84-b21b-c3e3e4fc7156 · outbound

This paper cites Svdquant: Absorbing outliers by low-rank components for 4-bit diffusion models.

Reflective Flow Sampling Enhancement Svdquant: Absorbing outliers by low-rank components for 4-bit diffusion models

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T15:31:11.569842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 41e2d247-7f41-42cb-9fae-23d4ed4734ce · outbound

This paper cites Imagenet large scale visual recognition challenge.

Reflective Flow Sampling Enhancement Imagenet large scale visual recognition challenge

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T15:31:11.618714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation cddc8368-5352-45e0-8fb2-f0fc3547d237 · outbound

This paper cites Bag of design choices for inference of high-resolution masked generative transformer.

Reflective Flow Sampling Enhancement Bag of design choices for inference of high-resolution masked generative transformer

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T15:31:11.641725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 67ae4d6f-148e-4521-b18c-5743fe7fe898 · outbound

This paper cites Bag of Design Choices for Inference of High-Resolution Masked Generative Transformer.

Reflective Flow Sampling Enhancement Bag of Design Choices for Inference of High-Resolution Masked Generative Transformer

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-05-15T15:31:11.146040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 40a3b8b4-134f-4234-b340-f0a07c9c98f5 · outbound

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

Reflective Flow Sampling Enhancement Gans trained by a two time-scale update rule converge to a local nash equilibrium

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T15:31:11.647423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 39b93dda-6fd7-4615-bc65-9486f00b7b16 · outbound

This paper cites Microsoft coco: Common objects in context.

Reflective Flow Sampling Enhancement Microsoft coco: Common objects in context

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T15:31:11.578281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 1329580c-df08-48f6-8cbe-39dbdb064cc1 · outbound

This paper cites Learning transferable visual models from natural language supervision.

Reflective Flow Sampling Enhancement Learning transferable visual models from natural language supervision

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T15:31:11.561089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 6906b9d0-517f-43b2-8876-c08d5b126b3a · outbound

This paper cites Improved techniques for training gans.

Reflective Flow Sampling Enhancement Improved techniques for training gans

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T15:31:11.555543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 0eb62f35-f3b3-4559-beac-9b7b240b48c9 · outbound

This paper cites Scaling Instruction-Finetuned Language Models.

Reflective Flow Sampling Enhancement Scaling Instruction-Finetuned Language Models

Reference 51

Resolution: verified exact; local_arxiv, observed 2026-05-15T15:31:11.183235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation bd65e343-9341-4c63-85c2-ddc943d979a0 · outbound

This paper cites Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow.

Reflective Flow Sampling Enhancement Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow

Reference 52

Resolution: verified exact; local_arxiv, observed 2026-05-15T15:31:11.154409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 1ee752aa-2194-44dd-8c99-2e4cf14f1578 · outbound

This paper cites Scalable diffusion models with transformers.

Reflective Flow Sampling Enhancement Scalable diffusion models with transformers

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T15:31:11.636985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 51d0f9f2-d139-4e3d-a516-f786c1dc99d3 · outbound

This paper cites CLIPScore: A Reference-free Evaluation Metric for Image Captioning.

Reflective Flow Sampling Enhancement CLIPScore: A Reference-free Evaluation Metric for Image Captioning

Reference 54

Resolution: verified exact; local_arxiv, observed 2026-05-15T15:31:11.168966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ee3fa9ca-32e4-4bdd-9523-cdedbfb4443b · outbound

This paper cites Score-based generative modeling through stochastic differential equations.

Reflective Flow Sampling Enhancement Score-based generative modeling through stochastic differential equations

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T15:31:11.509660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 530f4ff4-fe80-4927-bfb7-84ea7669369c · outbound

This paper cites Inference-Time Scaling for Diffusion Models beyond Scaling Denoising Steps.

Reflective Flow Sampling Enhancement Inference-Time Scaling for Diffusion Models beyond Scaling Denoising Steps

Reference 56

Resolution: verified exact; arxiv_id, observed 2026-05-20T11:45:17.785272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers