Paper Citation Record · LEDGER

CoDe: Blockwise Control for Denoising Diffusion Models

As of 10 August 2026, this Paper Citation Record lists 74 of 74 outbound references and 4 inbound Pith citation observations for arXiv:2502.00968.

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

pith.paper-citation-record.v1
2502.00968 v2

Coverage vector

measured 74 of 74 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T17:10:17.266445Z

measured 78 of 78 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:49:47.281070Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T21:37:25.369183Z

Reference resolution

74 of 74 outbound references displayed

verified exact4
verified fuzzy27
unresolved43
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5dba87c9-3495-44e0-be1a-9201a128c4ab · outbound

This paper cites Cold diffusion: Inverting arbitrary image transforms without noise.

CoDe: Blockwise Control for Denoising Diffusion Models Cold diffusion: Inverting arbitrary image transforms without noise

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:10:18.764685Z

Source-reported events for the cited work

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Observation fd4bb9aa-e441-400c-bfe4-106fdf389bef · outbound

This paper cites Universal Guidance for Diffusion Models.

CoDe: Blockwise Control for Denoising Diffusion Models Universal Guidance for Diffusion Models

Reference 2

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Source-reported events for the cited work

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Observation 5b2c2b57-e5a0-426c-b683-452ff8c54a30 · outbound

This paper cites Lumiere: A Space-Time Diffusion Model for Video Generation.

CoDe: Blockwise Control for Denoising Diffusion Models Lumiere: A Space-Time Diffusion Model for Video Generation

Reference 3

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Source-reported events for the cited work

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Observation e6a383f7-0768-4419-be70-6b7ae2bfa043 · outbound

This paper cites Theoretical guarantees on the best-of-n alignment policy.

CoDe: Blockwise Control for Denoising Diffusion Models Theoretical guarantees on the best-of-n alignment policy

Reference 4

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Source-reported events for the cited work

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Observation 5841825d-2a08-4355-af01-601c57c8ce6c · outbound

This paper cites Training Diffusion Models with Reinforcement Learning.

CoDe: Blockwise Control for Denoising Diffusion Models Training Diffusion Models with Reinforcement Learning

Reference 5

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Source-reported events for the cited work

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Observation ef7cdcb1-d590-4422-9d19-4ee46f4c4526 · outbound

This paper cites Large Language Monkeys: Scaling Inference Compute with Repeated Sampling.

CoDe: Blockwise Control for Denoising Diffusion Models Large Language Monkeys: Scaling Inference Compute with Repeated Sampling

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-09T17:10:16.996520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e120a8a9-3dc4-4753-ae2e-b2184a432522 · outbound

This paper cites Monte Carlo guided Diffusion for Bayesian linear inverse problems.

CoDe: Blockwise Control for Denoising Diffusion Models Monte Carlo guided Diffusion for Bayesian linear inverse problems

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-09T17:10:17.000865Z

Source-reported events for the cited work

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Observation 9666bebb-3a8f-4135-a907-df2380830196 · outbound

This paper cites Adaptively-realistic image generation from stroke and sketch with diffusion model.

CoDe: Blockwise Control for Denoising Diffusion Models Adaptively-realistic image generation from stroke and sketch with diffusion model

Reference 8

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-09T17:10:18.339218Z

Source-reported events for the cited work

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Observation e1953e5a-4b1c-4a3a-b68e-04d1c8a70656 · outbound

This paper cites Improving diffusion models for inverse problems using manifold constraints.

CoDe: Blockwise Control for Denoising Diffusion Models Improving diffusion models for inverse problems using manifold constraints

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:10:18.753609Z

Source-reported events for the cited work

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Observation 52ff738f-438d-49f7-bffd-8c6d9215bb48 · outbound

This paper cites Diffusion Posterior Sampling for General Noisy Inverse Problems.

CoDe: Blockwise Control for Denoising Diffusion Models Diffusion Posterior Sampling for General Noisy Inverse Problems

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-09T17:10:17.013318Z

Source-reported events for the cited work

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Observation 965fd64a-18ee-4352-8341-07d936fe860d · outbound

This paper cites an unresolved cited work.

CoDe: Blockwise Control for Denoising Diffusion Models Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-09T17:10:18.741538Z

Source-reported events for the cited work

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Observation 474b3546-05d0-4761-89ba-e8d5f9e6c1b1 · outbound

This paper cites Diffusion Models Beat GANs on Image Synthesis.

CoDe: Blockwise Control for Denoising Diffusion Models Diffusion Models Beat GANs on Image Synthesis

Reference 12

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Source-reported events for the cited work

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Observation b0239447-21ab-450d-a9d1-98dd77974f86 · outbound

This paper cites Tweedie’s formula and selection bias.

CoDe: Blockwise Control for Denoising Diffusion Models Tweedie’s formula and selection bias

Reference 13

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Source-reported events for the cited work

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Observation 1e5adc3d-086b-4a18-9e92-ca7a5b0b6db5 · outbound

This paper cites DPOK: Reinforcement Learning for Fine-tuning Text-to-Image Diffusion Models.

CoDe: Blockwise Control for Denoising Diffusion Models DPOK: Reinforcement Learning for Fine-tuning Text-to-Image Diffusion Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-09T17:10:17.027793Z

Source-reported events for the cited work

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Observation 3666b3bb-7359-4ff3-a171-25656bc1dd75 · outbound

This paper cites Scaling Laws for Reward Model Overoptimization.

CoDe: Blockwise Control for Denoising Diffusion Models Scaling Laws for Reward Model Overoptimization

Reference 15

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Source-reported events for the cited work

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Observation 3ac5640d-273a-445a-82f9-61e3f92fe59e · outbound

This paper cites Image style transfer using convolutional neural networks.

CoDe: Blockwise Control for Denoising Diffusion Models Image style transfer using convolutional neural networks

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:10:18.723931Z

Source-reported events for the cited work

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Observation 706159e5-89f4-4daa-b75d-17d8cd8bad0e · outbound

This paper cites Diffusion-rpo: Aligning diffusion models through relative preference optimization, 2024.

CoDe: Blockwise Control for Denoising Diffusion Models Diffusion-rpo: Aligning diffusion models through relative preference optimization, 2024

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:10:18.712627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 398f34eb-ae02-4e0d-9034-56db8e4d97f6 · outbound

This paper cites BoNBoN Alignment for Large Language Models and the Sweetness of Best-of-n Sampling.

CoDe: Blockwise Control for Denoising Diffusion Models BoNBoN Alignment for Large Language Models and the Sweetness of Best-of-n Sampling

Reference 18

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 116fd617-db5a-4984-a7d9-6de48041da5e · outbound

This paper cites Gradient Guidance for Diffusion Models: An Optimization Perspective.

CoDe: Blockwise Control for Denoising Diffusion Models Gradient Guidance for Diffusion Models: An Optimization Perspective

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-09T17:10:17.045926Z

Source-reported events for the cited work

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Observation 46cbc6b0-375e-4a44-9e4c-4adfea94b0f2 · outbound

This paper cites Manifold preserving guided diffusion.

CoDe: Blockwise Control for Denoising Diffusion Models Manifold preserving guided diffusion

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:10:18.701649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 896c5801-6dd3-4ac5-9dd9-77bbf37ba285 · outbound

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

CoDe: Blockwise Control for Denoising Diffusion Models Clipscore: A reference-free evaluation metric for image captioning

Reference 21

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Source-reported events for the cited work

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Observation 696fc201-a7b1-4881-a56d-ebd677345cc8 · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilibrium, 2017.

CoDe: Blockwise Control for Denoising Diffusion Models Gans trained by a two time-scale update rule converge to a local nash equilibrium, 2017

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-09T17:10:17.056858Z

Source-reported events for the cited work

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Observation e30d4434-adf1-42ae-ab02-d1c5cfa33402 · outbound

This paper cites Denoising Diffusion Probabilistic Models.

CoDe: Blockwise Control for Denoising Diffusion Models Denoising Diffusion Probabilistic Models

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:10:18.683318Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8a031327-2f59-49e7-b7bf-4d0eae6eee13 · outbound

This paper cites Classifier-Free Diffusion Guidance.

CoDe: Blockwise Control for Denoising Diffusion Models Classifier-Free Diffusion Guidance

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:10:18.671972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 14ff8d83-4132-4468-83e3-19235a5edcc4 · outbound

This paper cites Rethinking fid: Towards a better evaluation metric for image generation.

CoDe: Blockwise Control for Denoising Diffusion Models Rethinking fid: Towards a better evaluation metric for image generation

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:10:18.661418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation bae8d4a8-8726-4e68-82af-3e6af9e2593c · outbound

This paper cites Elucidating optimal reward-diversity tradeoffs in text-to-image diffusion models, 2024.

CoDe: Blockwise Control for Denoising Diffusion Models Elucidating optimal reward-diversity tradeoffs in text-to-image diffusion models, 2024

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:10:18.651106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 770c8bec-b007-4de9-9649-3dc23e613551 · outbound

This paper cites Leveraging early-stage robustness in diffusion models for efficient and high-quality image synthesis.

CoDe: Blockwise Control for Denoising Diffusion Models Leveraging early-stage robustness in diffusion models for efficient and high-quality image synthesis

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:10:18.640579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4dbca730-f1b4-4b59-aa1d-9e2ce7eeecde · outbound

This paper cites Genie: Generative hard negative images through diffusion, 2023.

CoDe: Blockwise Control for Denoising Diffusion Models Genie: Generative hard negative images through diffusion, 2023

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:10:18.629216Z

Source-reported events for the cited work

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Observation 51d2c4b0-c08c-4c05-84c8-1ee3ce9edd31 · outbound

This paper cites RL with KL penalties is better viewed as Bayesian inference.

CoDe: Blockwise Control for Denoising Diffusion Models RL with KL penalties is better viewed as Bayesian inference

Reference 29

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Source-reported events for the cited work

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Observation 25fbaf86-f304-4ad6-9ac1-3e9fd3353060 · outbound

This paper cites Direct consistency optimization for compositional text-to-image personalization, 2024.

CoDe: Blockwise Control for Denoising Diffusion Models Direct consistency optimization for compositional text-to-image personalization, 2024

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:10:18.617883Z

Source-reported events for the cited work

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Observation 23cf126b-4575-4066-9caa-1311f594c5e0 · outbound

This paper cites Derivative-Free Guidance in Continuous and Discrete Diffusion Models with Soft Value-Based Decoding.

CoDe: Blockwise Control for Denoising Diffusion Models Derivative-Free Guidance in Continuous and Discrete Diffusion Models with Soft Value-Based Decoding

Reference 31

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Source-reported events for the cited work

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Observation 588d12da-4667-4aea-8cb2-9d3317e3ccfe · outbound

This paper cites Gligen: Open-set grounded text-to-image generation.

CoDe: Blockwise Control for Denoising Diffusion Models Gligen: Open-set grounded text-to-image generation

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:10:18.606898Z

Source-reported events for the cited work

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Observation 89329b65-2da0-4473-8888-32b9903356a0 · outbound

This paper cites SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations.

CoDe: Blockwise Control for Denoising Diffusion Models SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations

Reference 33

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Source-reported events for the cited work

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Observation a58f8c90-cca4-43d0-b901-64b62377b998 · outbound

This paper cites FreeControl: Training-Free Spatial Control of Any Text-to-Image Diffusion Model with Any Condition.

CoDe: Blockwise Control for Denoising Diffusion Models FreeControl: Training-Free Spatial Control of Any Text-to-Image Diffusion Model with Any Condition

Reference 34

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14bd27fc-852c-4447-9062-7cb2c6df7bd4 · outbound

This paper cites T2i-adapter: Learning adapters to dig out more controllable ability for text-to-image diffusion models.

CoDe: Blockwise Control for Denoising Diffusion Models T2i-adapter: Learning adapters to dig out more controllable ability for text-to-image diffusion models

Reference 35

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Source-reported events for the cited work

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Observation 8eebbac2-3bf2-4d0a-9ee8-ad36a3810b6a · outbound

This paper cites Information Theoretic Guarantees For Policy Alignment In Large Language Models.

CoDe: Blockwise Control for Denoising Diffusion Models Information Theoretic Guarantees For Policy Alignment In Large Language Models

Reference 36

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Source-reported events for the cited work

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Observation fe702e51-70d0-46fc-aeb8-0a48928c84b2 · outbound

This paper cites Controlled Decoding from Language Models.

CoDe: Blockwise Control for Denoising Diffusion Models Controlled Decoding from Language Models

Reference 37

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Observation 8520fe0c-86ed-4ff2-b6e7-cb1aca61c6f4 · outbound

This paper cites Improved Denoising Diffusion Probabilistic Models , 7 2021.

CoDe: Blockwise Control for Denoising Diffusion Models Improved Denoising Diffusion Probabilistic Models , 7 2021

Reference 38

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Observation ff933f55-490d-490d-ab23-9cfe9b2359d4 · outbound

This paper cites Particle Denoising Diffusion Sampler.

CoDe: Blockwise Control for Denoising Diffusion Models Particle Denoising Diffusion Sampler

Reference 39

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Source-reported events for the cited work

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Observation a88ec9e3-d6f2-415d-a3e4-cd7699eec17e · outbound

This paper cites Aligning Text-to-Image Diffusion Models with Reward Backpropagation.

CoDe: Blockwise Control for Denoising Diffusion Models Aligning Text-to-Image Diffusion Models with Reward Backpropagation

Reference 40

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Observation f4174d14-410a-4d1f-a3be-60d59b9d4b34 · outbound

This paper cites Spontaneous symmetry breaking in generative diffusion models.

CoDe: Blockwise Control for Denoising Diffusion Models Spontaneous symmetry breaking in generative diffusion models

Reference 41

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Source-reported events for the cited work

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Observation 0013197c-102b-4562-b6e2-4b861614e5d7 · outbound

This paper cites High-Resolution Image Synthesis with Latent Diffusion Models.

CoDe: Blockwise Control for Denoising Diffusion Models High-Resolution Image Synthesis with Latent Diffusion Models

Reference 42

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Observation 44e18b91-30bc-406f-b863-69990396e724 · outbound

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

CoDe: Blockwise Control for Denoising Diffusion Models Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation

Reference 43

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Source-reported events for the cited work

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Observation eec9aacb-7290-4bc2-af87-f8fc35e2ca2b · outbound

This paper cites CADS: Unleashing the Diversity of Diffusion Models through Condition-Annealed Sampling.

CoDe: Blockwise Control for Denoising Diffusion Models CADS: Unleashing the Diversity of Diffusion Models through Condition-Annealed Sampling

Reference 44

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Observation 063dd181-691f-4c3d-aef5-74afde21a9eb · outbound

This paper cites Facenet: A unified embedding for face recognition and clustering.

CoDe: Blockwise Control for Denoising Diffusion Models Facenet: A unified embedding for face recognition and clustering

Reference 45

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Source-reported events for the cited work

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Observation cb90029a-adf7-423f-817c-9b67d7f4cc62 · outbound

This paper cites Laion-400m: Open dataset of clip-filtered 400 million image-text pairs, 2021.

CoDe: Blockwise Control for Denoising Diffusion Models Laion-400m: Open dataset of clip-filtered 400 million image-text pairs, 2021

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-09T17:10:17.155018Z

Source-reported events for the cited work

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Observation 571622d9-31d4-4da1-95fc-c11c160558e1 · outbound

This paper cites Laion-5b: An open large-scale dataset for training next generation image-text models.

CoDe: Blockwise Control for Denoising Diffusion Models Laion-5b: An open large-scale dataset for training next generation image-text models

Reference 47

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Source-reported events for the cited work

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Observation 1740bc57-5178-4417-9bb8-204420845cac · outbound

This paper cites A phase transition in diffusion models reveals the hierarchical nature of data.

CoDe: Blockwise Control for Denoising Diffusion Models A phase transition in diffusion models reveals the hierarchical nature of data

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:10:18.544696Z

Source-reported events for the cited work

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Observation 164631a9-aaf5-4d80-9534-a6d43f83cc37 · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

CoDe: Blockwise Control for Denoising Diffusion Models Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 49

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Source-reported events for the cited work

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Observation 34d4b80f-8057-4449-9e8c-532461b33697 · outbound

This paper cites Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters.

CoDe: Blockwise Control for Denoising Diffusion Models Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters

Reference 50

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Source-reported events for the cited work

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This paper cites Measuring Style Similarity in Diffusion Models.

CoDe: Blockwise Control for Denoising Diffusion Models Measuring Style Similarity in Diffusion Models

Reference 51

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Source-reported events for the cited work

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Observation 020f8155-2a37-47ff-9c3f-534d05d0c704 · outbound

This paper cites Denoising Diffusion Implicit Models.

CoDe: Blockwise Control for Denoising Diffusion Models Denoising Diffusion Implicit Models

Reference 52

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Source-reported events for the cited work

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Observation 7c788618-34be-4466-a7bf-1a72fde96feb · outbound

This paper cites Generative Modeling by Estimating Gradients of the Data Distribution.

CoDe: Blockwise Control for Denoising Diffusion Models Generative Modeling by Estimating Gradients of the Data Distribution

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:10:18.532760Z

Source-reported events for the cited work

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Observation e38171b2-a261-4be8-b8fb-1335a31ed5c1 · outbound

This paper cites Going deeper with convolutions.

CoDe: Blockwise Control for Denoising Diffusion Models Going deeper with convolutions

Reference 54

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Source-reported events for the cited work

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Observation 013d40a9-b026-49d9-8cc5-3bbe7bc97e01 · outbound

This paper cites Understanding Reinforcement Learning-Based Fine-Tuning of Diffusion Models: A Tutorial and Review.

CoDe: Blockwise Control for Denoising Diffusion Models Understanding Reinforcement Learning-Based Fine-Tuning of Diffusion Models: A Tutorial and Review

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-09T17:10:17.189355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 327560d7-740a-4e67-9635-973b4f634693 · outbound

This paper cites Understanding reinforcement learning-based fine-tuning of diffusion models: A tutorial and review, 2024 b.

CoDe: Blockwise Control for Denoising Diffusion Models Understanding reinforcement learning-based fine-tuning of diffusion models: A tutorial and review, 2024 b

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:10:18.514956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 704c23b7-ef44-4888-b9aa-92a3309cfb92 · outbound

This paper cites Diffusion Model Alignment Using Direct Preference Optimization.

CoDe: Blockwise Control for Denoising Diffusion Models Diffusion Model Alignment Using Direct Preference Optimization

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-09T17:10:17.196787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 646f9577-23f2-4385-80d2-99fa0e9d1a00 · outbound

This paper cites Bayesian learning via stochastic gradient Langevin dynamics.

CoDe: Blockwise Control for Denoising Diffusion Models Bayesian learning via stochastic gradient Langevin dynamics

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:10:18.503732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation dfba5da6-9157-41c3-8e19-4f5500b92c7a · outbound

This paper cites Diffusion-based molecule generation with informative prior bridges.

CoDe: Blockwise Control for Denoising Diffusion Models Diffusion-based molecule generation with informative prior bridges

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:10:18.492097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 25a04c36-5d6a-45e3-b186-5cc9277f5011 · outbound

This paper cites Practical and Asymptotically Exact Conditional Sampling in Diffusion Models.

CoDe: Blockwise Control for Denoising Diffusion Models Practical and Asymptotically Exact Conditional Sampling in Diffusion Models

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:10:18.480886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6da78400-4ec5-40c0-bce2-6be3dbc45b03 · outbound

This paper cites Theoretical Insights for Diffusion Guidance: A Case Study for Gaussian Mixture Models.

CoDe: Blockwise Control for Denoising Diffusion Models Theoretical Insights for Diffusion Guidance: A Case Study for Gaussian Mixture Models

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-09T17:10:17.213526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fab637a9-db3d-4af7-97d4-38a99400d8ce · outbound

This paper cites Asymptotics of language model alignment.

CoDe: Blockwise Control for Denoising Diffusion Models Asymptotics of language model alignment

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:10:18.468995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5c7856ff-16ec-42dd-b8f3-1f8de3ed9f99 · outbound

This paper cites FUDGE: Controlled Text Generation With Future Discriminators.

CoDe: Blockwise Control for Denoising Diffusion Models FUDGE: Controlled Text Generation With Future Discriminators

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-09T17:10:17.220945Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4cf5e067-4ab9-412e-8cd6-b829692fa7c8 · outbound

This paper cites TFG: Unified Training-Free Guidance for Diffusion Models.

CoDe: Blockwise Control for Denoising Diffusion Models TFG: Unified Training-Free Guidance for Diffusion Models

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:10:18.457661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c3343211-fe47-4e2a-a2ad-3d8e7bf93b33 · outbound

This paper cites Improving style transfer with calibrated metrics.

CoDe: Blockwise Control for Denoising Diffusion Models Improving style transfer with calibrated metrics

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:10:18.446676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation aadd3873-5d41-4f3d-a3cd-e8920c8a660c · outbound

This paper cites Freedom: Training-free energy-guided conditional diffusion model.

CoDe: Blockwise Control for Denoising Diffusion Models Freedom: Training-free energy-guided conditional diffusion model

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-09T17:10:17.232822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d02ee7f1-c819-4734-b4c5-eb0e4ba39047 · outbound

This paper cites Reward-Directed Conditional Diffusion: Provable Distribution Estimation and Reward Improvement.

CoDe: Blockwise Control for Denoising Diffusion Models Reward-Directed Conditional Diffusion: Provable Distribution Estimation and Reward Improvement

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-09T17:10:17.237519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26c93373-2789-4764-a69b-524135bb747a · outbound

This paper cites Joint face detection and alignment using multitask cascaded convolutional networks.

CoDe: Blockwise Control for Denoising Diffusion Models Joint face detection and alignment using multitask cascaded convolutional networks

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:10:18.429765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b276c8a6-608f-4f3e-b3e5-ce0dacedcea4 · outbound

This paper cites Adding Conditional Control to Text-to-Image Diffusion Models.

CoDe: Blockwise Control for Denoising Diffusion Models Adding Conditional Control to Text-to-Image Diffusion Models

Reference 69

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-09T17:10:17.514423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 085d89a6-4b60-4864-9393-91034075f620 · outbound

This paper cites Denoising diffusion models for plug-and-play image restoration.

CoDe: Blockwise Control for Denoising Diffusion Models Denoising diffusion models for plug-and-play image restoration

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:10:18.418118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation cd672b86-28c2-466d-a4b5-3caf47065510 · outbound

This paper cites @esa (Ref.

CoDe: Blockwise Control for Denoising Diffusion Models @esa (Ref

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-09T17:10:17.252355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e69633f-5cdc-42b9-b20a-eac94955ff43 · outbound

This paper cites an unresolved cited work.

CoDe: Blockwise Control for Denoising Diffusion Models Unresolved cited work

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-09T17:10:17.256658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a7f0e0f4-ef5e-4514-a31a-a8c44d895255 · outbound

This paper cites A Systematic Survey of Prompt Engineering on Vision-Language Foundation Models.

CoDe: Blockwise Control for Denoising Diffusion Models A Systematic Survey of Prompt Engineering on Vision-Language Foundation Models

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-09T17:10:17.260982Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 128f62c2-38d8-422b-a396-7a7ce8b8e18c · outbound

This paper cites write newline.

CoDe: Blockwise Control for Denoising Diffusion Models write newline

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-09T17:10:17.266445Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 0da8fa90-7b2a-490e-9164-183e62b894c4 · inbound

Scaling Image and Video Generation via Test-Time Evolutionary Search cites this paper.

Scaling Image and Video Generation via Test-Time Evolutionary Search CoDe: Blockwise Control for Denoising Diffusion Models

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-07T14:49:47.281070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 46e237f5-f896-4775-9b01-ce7008af2786 · inbound

Superbunched random fiber laser cites this paper.

Superbunched random fiber laser CoDe: Blockwise Control for Denoising Diffusion Models

Reference 38

Resolution: unresolved; no resolver link, observed 2026-07-13T20:31:07.902275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eeb28685-a332-43be-bd32-7d47de47ee2f · inbound

Step-level Denoising-time Diffusion Alignment with Multiple Objectives cites this paper.

Step-level Denoising-time Diffusion Alignment with Multiple Objectives CoDe: Blockwise Control for Denoising Diffusion Models

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-10T13:15:25.874361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation cb72a173-20f4-422e-9399-bba202cfbb46 · inbound

Test-Time Scaling in Multimodal Foundation Models: A Comprehensive Survey of Generation and Reasoning cites this paper.

Test-Time Scaling in Multimodal Foundation Models: A Comprehensive Survey of Generation and Reasoning CoDe: Blockwise Control for Denoising Diffusion Models

Reference 71

Resolution: verified exact; arxiv_id, observed 2026-07-02T21:37:25.370665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.