Paper Citation Record · LEDGER

C$^2$FG: Control Classifier-Free Guidance via Score Discrepancy Analysis

As of 11 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 3 inbound Pith citation observations for arXiv:2603.08155.

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

pith.paper-citation-record.v1
2603.08155 v3

Coverage vector

measured 57 of 57 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-21T12:04:07.443646Z

measured 60 of 60 standing notices

One-hop event checks from named stored sources.

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

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-09T03:28:06.789748Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-09T03:35:54.488321Z

Reference resolution

57 of 57 outbound references displayed

verified exact18
verified fuzzy34
unresolved2
parse uncertain0
malformed identifier1
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e34054aa-28d7-46cd-9958-baafac24c044 · outbound

This paper cites FD-DINOv2: FD Score via DINOv2.https: //github.com/justin4ai/FD-DINOv2.

C$^2$FG: Control Classifier-Free Guidance via Score Discrepancy Analysis FD-DINOv2: FD Score via DINOv2.https: //github.com/justin4ai/FD-DINOv2

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T12:04:09.577274Z

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

Observation a0e43f7a-8e36-4f3e-a9e9-596810bc97bf · outbound

This paper cites Anderson.

C$^2$FG: Control Classifier-Free Guidance via Score Discrepancy Analysis Anderson

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T12:04:09.574524Z

Source-reported events for the cited work

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Observation dee7310d-db2b-468a-ae76-b802a95e753f · outbound

This paper cites Diffusions hypercon- tractives.

C$^2$FG: Control Classifier-Free Guidance via Score Discrepancy Analysis Diffusions hypercon- tractives

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T12:04:09.668300Z

Source-reported events for the cited work

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Observation 3034ded7-ae14-4f6a-b7d3-70bb11d81576 · outbound

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

C$^2$FG: Control Classifier-Free Guidance via Score Discrepancy Analysis eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-05-21T12:04:09.476559Z

Source-reported events for the cited work

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Observation ecfe8e62-2fc9-4d14-a325-940f60fe2d61 · outbound

This paper cites All are worth words: A vit backbone for diffusion models.

C$^2$FG: Control Classifier-Free Guidance via Score Discrepancy Analysis All are worth words: A vit backbone for diffusion models

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T12:04:09.670733Z

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 ea895afa-2ef1-4240-8ad4-884455fedc5c · outbound

This paper cites Classifier-free guid- ance is a predictor-corrector.Transactions on Machine Learn- ing Research.

C$^2$FG: Control Classifier-Free Guidance via Score Discrepancy Analysis Classifier-free guid- ance is a predictor-corrector.Transactions on Machine Learn- ing Research

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T12:04:09.642548Z

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 8bc4011f-fb20-4b89-b617-555a3ab153d1 · outbound

This paper cites Emerg- ing properties in self-supervised vision transformers.

C$^2$FG: Control Classifier-Free Guidance via Score Discrepancy Analysis Emerg- ing properties in self-supervised vision transformers

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T12:04:09.597682Z

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 f50bbc0c-44ac-4ffd-8a9f-2de68199e921 · outbound

This paper cites Diffier: Optimizing diffusion models with iterative error reduction.

C$^2$FG: Control Classifier-Free Guidance via Score Discrepancy Analysis Diffier: Optimizing diffusion models with iterative error reduction

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T12:04:09.600873Z

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 f5977ec8-5b2d-4669-8f6e-79f59a1e0d17 · outbound

This paper cites S 2-guidance: Stochastic self guidance for training-free enhancement of diffusion models.

C$^2$FG: Control Classifier-Free Guidance via Score Discrepancy Analysis S 2-guidance: Stochastic self guidance for training-free enhancement of diffusion models

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T12:04:09.603673Z

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 b2bf798b-39ce-4d7e-b2f4-5dfc9a190ed9 · outbound

This paper cites CFG++: Manifold-constrained clas- sifier free guidance for diffusion models.

C$^2$FG: Control Classifier-Free Guidance via Score Discrepancy Analysis CFG++: Manifold-constrained clas- sifier free guidance for diffusion models

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T12:04:09.650664Z

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 3ec29992-bd4b-4291-8544-6d4d0daffd21 · outbound

This paper cites Lipdiffuser: Lip-to-speech generation with conditional diffusion models.

C$^2$FG: Control Classifier-Free Guidance via Score Discrepancy Analysis Lipdiffuser: Lip-to-speech generation with conditional diffusion models

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-21T12:04:09.459124Z

Source-reported events for the cited work

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Observation 12bebf0e-02c0-4d1c-9494-8e6518fe4b78 · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

C$^2$FG: Control Classifier-Free Guidance via Score Discrepancy Analysis Imagenet: A large-scale hierarchical image database

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T12:04:09.588090Z

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 fff49c0a-8509-4863-b802-4712814f5f4c · outbound

This paper cites Diffusion Models Beat GANs on Image Synthesis.

C$^2$FG: Control Classifier-Free Guidance via Score Discrepancy Analysis Diffusion Models Beat GANs on Image Synthesis

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-05-21T12:04:09.442157Z

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 af4a1f67-ba8b-4a34-9195-b50505740962 · outbound

This paper cites an unresolved cited work.

C$^2$FG: Control Classifier-Free Guidance via Score Discrepancy Analysis Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-05-21T12:04:09.666158Z

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 18c0aa17-99fc-4a80-a1eb-cde32ba8529d · outbound

This paper cites Scaling rectified flow transformers for high-resolution image synthesis.

C$^2$FG: Control Classifier-Free Guidance via Score Discrepancy Analysis Scaling rectified flow transformers for high-resolution image synthesis

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T12:04:09.612596Z

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 9cc3e9f2-89dd-4dd3-b1fd-b0696b70107b · outbound

This paper cites Evans.Partial Differential Equations.

C$^2$FG: Control Classifier-Free Guidance via Score Discrepancy Analysis Evans.Partial Differential Equations

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T12:04:09.660589Z

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 54e347ca-b078-43fb-b67c-c5e4b7df0466 · outbound

This paper cites Handbook of stochastic methods for physics, chemistry and the natural sciences.Springer series in synergetics.

C$^2$FG: Control Classifier-Free Guidance via Score Discrepancy Analysis Handbook of stochastic methods for physics, chemistry and the natural sciences.Springer series in synergetics

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T12:04:09.624822Z

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 16209657-0864-48d5-97d2-ce1a5c259790 · outbound

This paper cites Masked Autoencoders Are Scalable Vision Learners.

C$^2$FG: Control Classifier-Free Guidance via Score Discrepancy Analysis Masked Autoencoders Are Scalable Vision Learners

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-05-21T12:04:09.472820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T15:38:38.318698+00:00.

Observation 15f4aee0-34aa-48b7-ba9b-1f5d17978d41 · outbound

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

C$^2$FG: Control Classifier-Free Guidance via Score Discrepancy Analysis Gans trained by a two time-scale update rule converge to a local nash equilibrium

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T12:04:09.622286Z

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 df47d23b-da06-4228-af1d-8761652294ce · outbound

This paper cites Classifier-Free Diffusion Guidance.

C$^2$FG: Control Classifier-Free Guidance via Score Discrepancy Analysis Classifier-Free Diffusion Guidance

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-05-21T12:04:09.434699Z

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 eb6ddb25-9039-4a60-b436-f0706d7cde0b · outbound

This paper cites Denoising Diffusion Probabilistic Models.

C$^2$FG: Control Classifier-Free Guidance via Score Discrepancy Analysis Denoising Diffusion Probabilistic Models

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-05-21T12:04:09.462612Z

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 eade2bd3-4da1-461c-8f89-dce40670d69b · outbound

This paper cites Stage-wise dynamics of classifier-free guidance in diffusion models.

C$^2$FG: Control Classifier-Free Guidance via Score Discrepancy Analysis Stage-wise dynamics of classifier-free guidance in diffusion models

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T12:04:09.609540Z

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 7bc2dfb5-e3b7-4aff-8366-16e02486ac79 · outbound

This paper cites Guiding a diffusion model with a bad version of itself.

C$^2$FG: Control Classifier-Free Guidance via Score Discrepancy Analysis Guiding a diffusion model with a bad version of itself

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T12:04:09.629821Z

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 da01a1f0-bc1b-49d2-a12a-7336d9d463ef · outbound

This paper cites Analyzing and improving the training dynamics of diffusion models.

C$^2$FG: Control Classifier-Free Guidance via Score Discrepancy Analysis Analyzing and improving the training dynamics of diffusion models

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T12:04:09.637769Z

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 8cb73a6b-6b50-429f-b96a-aa2e8df8a4c9 · outbound

This paper cites Improved precision and recall metric for assessing generative models.Advances in neural information processing systems, 32.

C$^2$FG: Control Classifier-Free Guidance via Score Discrepancy Analysis Improved precision and recall metric for assessing generative models.Advances in neural information processing systems, 32

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T12:04:09.606813Z

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 01a23af8-b29e-4994-af90-fd1590d14151 · outbound

This paper cites Applying guidance in a limited interval improves sample and distribution quality in diffusion models.Advances in Neural Information Processing Systems, 37:122458–122483.

C$^2$FG: Control Classifier-Free Guidance via Score Discrepancy Analysis Applying guidance in a limited interval improves sample and distribution quality in diffusion models.Advances in Neural Information Processing Systems, 37:122458–122483

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T12:04:09.632727Z

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 3565a7b8-c043-43d9-b895-323bb0d7e5af · outbound

This paper cites Flux.1 kontext: Flow matching for in-context image generation and editing in latent space.

C$^2$FG: Control Classifier-Free Guidance via Score Discrepancy Analysis Flux.1 kontext: Flow matching for in-context image generation and editing in latent space

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T12:04:09.645131Z

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 819d4d06-4ca6-4ac0-8abb-bc5aadff52a5 · outbound

This paper cites Com- mon diffusion noise schedules and sample steps are flawed.

C$^2$FG: Control Classifier-Free Guidance via Score Discrepancy Analysis Com- mon diffusion noise schedules and sample steps are flawed

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T12:04:09.619435Z

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 7fd9a4c0-6631-40d3-9c30-113795d75068 · outbound

This paper cites Microsoft coco: Common objects in context.

C$^2$FG: Control Classifier-Free Guidance via Score Discrepancy Analysis Microsoft coco: Common objects in context

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T12:04:09.635166Z

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 f3d9eebb-4fad-454e-8fed-69ffab8781ef · outbound

This paper cites Flow Matching for Generative Modeling.

C$^2$FG: Control Classifier-Free Guidance via Score Discrepancy Analysis Flow Matching for Generative Modeling

Reference 30

Resolution: verified exact; local_arxiv, observed 2026-05-21T12:04:09.421080Z

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 9a9446c9-6406-42f0-bb12-e84daca52f19 · outbound

This paper cites Rectified Flow: A Marginal Preserving Approach to Optimal Transport.

C$^2$FG: Control Classifier-Free Guidance via Score Discrepancy Analysis Rectified Flow: A Marginal Preserving Approach to Optimal Transport

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-05-21T12:04:09.450112Z

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 695a0a06-179c-4118-abf1-982cf1f8fbf1 · outbound

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

C$^2$FG: Control Classifier-Free Guidance via Score Discrepancy Analysis Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow

Reference 32

Resolution: verified exact; local_arxiv, observed 2026-05-21T12:04:09.469249Z

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 b230e162-4688-49f6-a4bc-5635699c142c · outbound

This paper cites Sit: Exploring flow and diffusion-based generative models with scalable in- terpolant transformers.

C$^2$FG: Control Classifier-Free Guidance via Score Discrepancy Analysis Sit: Exploring flow and diffusion-based generative models with scalable in- terpolant transformers

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T12:04:09.663486Z

Source-reported events for the cited work

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Observation fccee087-d00c-4654-bfdf-ea8a3ea00131 · outbound

This paper cites Classifier-free Guidance with Adaptive Scaling.

C$^2$FG: Control Classifier-Free Guidance via Score Discrepancy Analysis Classifier-free Guidance with Adaptive Scaling

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-21T12:04:09.446262Z

Source-reported events for the cited work

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Observation dc094b1a-c967-4d5c-9392-157043980688 · outbound

This paper cites Scalable Diffusion Models with Transformers.

C$^2$FG: Control Classifier-Free Guidance via Score Discrepancy Analysis Scalable Diffusion Models with Transformers

Reference 35

Resolution: verified exact; local_arxiv, observed 2026-05-21T12:04:09.465933Z

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 17846d95-a546-4295-b339-1f642836dd1a · outbound

This paper cites Ge- oguide: Geometric guidance of diffusion models.

C$^2$FG: Control Classifier-Free Guidance via Score Discrepancy Analysis Ge- oguide: Geometric guidance of diffusion models

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T12:04:09.658127Z

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 e5dba09c-a4e4-4340-92be-a0e7e5a4b62d · outbound

This paper cites Hierarchical Text-Conditional Image Generation with CLIP Latents.

C$^2$FG: Control Classifier-Free Guidance via Score Discrepancy Analysis Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 37

Resolution: verified exact; local_arxiv, observed 2026-05-21T12:04:09.426190Z

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 770e84e5-7bed-409a-83d8-afb215b5faef · outbound

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

C$^2$FG: Control Classifier-Free Guidance via Score Discrepancy Analysis High-resolution image synthesis with latent diffusion models

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T12:04:09.627354Z

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 cb3e7228-0fbb-452d-9b81-cc31e031dcd2 · outbound

This paper cites an unresolved cited work.

C$^2$FG: Control Classifier-Free Guidance via Score Discrepancy Analysis Unresolved cited work

Reference 39

Resolution: unresolved; raw_fallback, observed 2026-05-21T12:04:09.590257Z

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 c5ec7ea7-62c5-4014-82df-ffb04932758d · outbound

This paper cites Guidance in the Frequency Domain Enables High-Fidelity Sampling at Low CFG Scales.

C$^2$FG: Control Classifier-Free Guidance via Score Discrepancy Analysis Guidance in the Frequency Domain Enables High-Fidelity Sampling at Low CFG Scales

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-05-21T12:04:09.430517Z

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 95b808bc-d76c-47b0-93d2-c92baf0b60c8 · outbound

This paper cites Improved techniques for training gans.Advances in neural information processing systems, 29.

C$^2$FG: Control Classifier-Free Guidance via Score Discrepancy Analysis Improved techniques for training gans.Advances in neural information processing systems, 29

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T12:04:09.647720Z

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 2a6555a0-23bf-40f8-8818-79bf9e2e1669 · outbound

This paper cites Rethinking the spatial inconsistency in classifier- free diffusion guidance.

C$^2$FG: Control Classifier-Free Guidance via Score Discrepancy Analysis Rethinking the spatial inconsistency in classifier- free diffusion guidance

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T12:04:09.653395Z

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 5f89955f-d1b6-4119-bec0-e5f8b139a028 · outbound

This paper cites Information theoretic learning for diffusion models with warm start.

C$^2$FG: Control Classifier-Free Guidance via Score Discrepancy Analysis Information theoretic learning for diffusion models with warm start

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T12:04:09.655492Z

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 7ee198d4-7cb8-4930-9b8f-ac5a1efc6f2d · outbound

This paper cites Deep Unsupervised Learning using Nonequilibrium Thermodynamics.

C$^2$FG: Control Classifier-Free Guidance via Score Discrepancy Analysis Deep Unsupervised Learning using Nonequilibrium Thermodynamics

Reference 44

Resolution: metadata mismatch; local_arxiv, observed 2026-05-21T12:04:09.487326Z

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 34f355e7-8e68-4ef8-af9d-0003ebe83510 · outbound

This paper cites Denoising Diffusion Implicit Models.

C$^2$FG: Control Classifier-Free Guidance via Score Discrepancy Analysis Denoising Diffusion Implicit Models

Reference 45

Resolution: verified exact; local_arxiv, observed 2026-05-21T12:04:09.480518Z

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 60c59e92-188e-4a19-b998-5e5c5edbd4fc · outbound

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

C$^2$FG: Control Classifier-Free Guidance via Score Discrepancy Analysis Generative modeling by estimating gradients of the data distribution

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T12:04:09.615267Z

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 ba62c333-0c5a-4f16-a47a-5a391373c4a8 · outbound

This paper cites Score-Based Generative Modeling through Stochastic Differential Equations.

C$^2$FG: Control Classifier-Free Guidance via Score Discrepancy Analysis Score-Based Generative Modeling through Stochastic Differential Equations

Reference 47

Resolution: metadata mismatch; local_arxiv, observed 2026-05-21T12:04:09.438610Z

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 6af429b1-49e9-4a85-9ca8-cf8b6ac07c9f · outbound

This paper cites GradCheck: Analyzing classifier guidance gradients for conditional diffusion sampling.

C$^2$FG: Control Classifier-Free Guidance via Score Discrepancy Analysis GradCheck: Analyzing classifier guidance gradients for conditional diffusion sampling

Reference 48

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This paper cites Rectified Diffusion: Straightness Is Not Your Need in Rectified Flow.

C$^2$FG: Control Classifier-Free Guidance via Score Discrepancy Analysis Rectified Diffusion: Straightness Is Not Your Need in Rectified Flow

Reference 49

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This paper cites Diffusion-NPO: Negative Preference Optimization for Better Preference Aligned Generation of Diffusion Models.

C$^2$FG: Control Classifier-Free Guidance via Score Discrepancy Analysis Diffusion-NPO: Negative Preference Optimization for Better Preference Aligned Generation of Diffusion Models

Reference 50

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This paper cites Analysis of Classifier-Free Guidance Weight Schedulers.

C$^2$FG: Control Classifier-Free Guidance via Score Discrepancy Analysis Analysis of Classifier-Free Guidance Weight Schedulers

Reference 51

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This paper cites Harmonyview: Harmonizing consis- tency and diversity in one-image-to-3d.

C$^2$FG: Control Classifier-Free Guidance via Score Discrepancy Analysis Harmonyview: Harmonizing consis- tency and diversity in one-image-to-3d

Reference 52

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This paper cites Efficient training-free high-resolution syn- thesis with energy rectification in diffusion models.

C$^2$FG: Control Classifier-Free Guidance via Score Discrepancy Analysis Efficient training-free high-resolution syn- thesis with energy rectification in diffusion models

Reference 53

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This paper cites Tfg: Unified training-free guidance for diffusion models.

C$^2$FG: Control Classifier-Free Guidance via Score Discrepancy Analysis Tfg: Unified training-free guidance for diffusion models

Reference 54

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Observation acfec2a0-db9a-4226-9d50-7dd9bd9e6c7c · outbound

This paper cites Representa- tion alignment for generation: Training diffusion transformers is easier than you think.

C$^2$FG: Control Classifier-Free Guidance via Score Discrepancy Analysis Representa- tion alignment for generation: Training diffusion transformers is easier than you think

Reference 55

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Observation 981cbaed-b7b9-4f08-87bd-44396f6817fa · outbound

This paper cites Bidirectional beta-tuned diffusion model.IEEE Transactions on Pattern Analysis and Machine Intelligence, 48(1):359–373.

C$^2$FG: Control Classifier-Free Guidance via Score Discrepancy Analysis Bidirectional beta-tuned diffusion model.IEEE Transactions on Pattern Analysis and Machine Intelligence, 48(1):359–373

Reference 56

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This paper cites local-in-space.

C$^2$FG: Control Classifier-Free Guidance via Score Discrepancy Analysis local-in-space

Reference 57

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Pith citing papers

Observation 9446c8fa-c5b3-4a6a-9239-86b4bdc03df8 · inbound

P-Guide: Parameter-Efficient Prior Steering for Single-Pass CFG Inference cites this paper.

P-Guide: Parameter-Efficient Prior Steering for Single-Pass CFG Inference C$^2$FG: Control Classifier-Free Guidance via Score Discrepancy Analysis

Reference 14

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Observation 69f92a85-96d3-4e97-b9d4-40bf370b2459 · inbound

GenEraser: Generalizable Video Object Removal via Balanced Text-Mask Guidance and Decoupled Locator-Preserver cites this paper.

GenEraser: Generalizable Video Object Removal via Balanced Text-Mask Guidance and Decoupled Locator-Preserver C$^2$FG: Control Classifier-Free Guidance via Score Discrepancy Analysis

Reference 6

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Guidance Breaks the Fitted Operator: A Terminal-Fitted Repair for Classifier-Free Guidance cites this paper.

Guidance Breaks the Fitted Operator: A Terminal-Fitted Repair for Classifier-Free Guidance C$^2$FG: Control Classifier-Free Guidance via Score Discrepancy Analysis

Reference 6

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