Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-08T12:29:16.215618Z
Paper Citation Record · LEDGER
Diverse Sampling in Diffusion Models with Marginal Preserving Particle Guidance
As of 13 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 1 inbound Pith citation observation for arXiv:2605.06553.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-31T23:33:07.718877Z
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
51 of 51 outbound references displayed
- verified exact5
- verified fuzzy39
- unresolved5
- parse uncertain0
- malformed identifier0
- metadata mismatch2
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 499bfaf8-d9e4-4c93-b45e-df786ba1ba06 · outbound
This paper cites URL https://huggingface.co/black-forest-labs/ FLUX.1-dev.
Diverse Sampling in Diffusion Models with Marginal Preserving Particle Guidance URL https://huggingface.co/black-forest-labs/ FLUX.1-dev
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:17:49.536796Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 0c42d4e2-33c9-4c63-852d-cdc8bbd7fc45 · outbound
This paper cites Building normalizing flows with stochastic interpolants.
Diverse Sampling in Diffusion Models with Marginal Preserving Particle Guidance Building normalizing flows with stochastic interpolants
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:17:49.526217Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 2dcc1c73-57c1-4860-bcae-46dbb4daabce · outbound
This paper cites Anderson.
Diverse Sampling in Diffusion Models with Marginal Preserving Particle Guidance Anderson
Reference 3
- Resolution
- verified exact
- doi, observed 2026-05-08T21:39:15.303899Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation c4a9e3f2-c4b3-49f0-81e3-236766f365e6 · outbound
This paper cites Structured denoising diffusion models in discrete state-spaces.Advances in neural information processing systems, 34:17981–17993.
Diverse Sampling in Diffusion Models with Marginal Preserving Particle Guidance Structured denoising diffusion models in discrete state-spaces.Advances in neural information processing systems, 34:17981–17993
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:17:49.511251Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation f4324867-bc68-40e1-9a87-c19a179e3e4c · outbound
This paper cites Jaakkola.
Diverse Sampling in Diffusion Models with Marginal Preserving Particle Guidance Jaakkola
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:17:49.514893Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation d861d945-e0e6-48cc-96d3-d197f1f94cbc · outbound
This paper cites Jaakkola.
Diverse Sampling in Diffusion Models with Marginal Preserving Particle Guidance Jaakkola
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:17:49.503964Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 3eb039c3-87aa-4e8f-83ea-cc9bcc3f7095 · outbound
This paper cites Vision transformers need registers.
Diverse Sampling in Diffusion Models with Marginal Preserving Particle Guidance Vision transformers need registers
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:17:49.511007Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 09588002-00a9-4f6d-84b4-9cd2ad717230 · outbound
This paper cites Diffusion models beat GANs on image synthesis.
Diverse Sampling in Diffusion Models with Marginal Preserving Particle Guidance Diffusion models beat GANs on image synthesis
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:17:49.500598Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 19992eea-4398-455d-98e3-91f18ec5b68e · outbound
This paper cites Yilun Du, Shuang Li, Joshua Tenenbaum, and Igor Mordatch.
Diverse Sampling in Diffusion Models with Marginal Preserving Particle Guidance Yilun Du, Shuang Li, Joshua Tenenbaum, and Igor Mordatch
Reference 9
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T19:16:07.381790Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 7050fc7f-f2a7-4624-910d-4475222a3418 · outbound
This paper cites It's Never Too Late: Noise Optimization for Collapse Recovery in Trained Diffusion Models.
Diverse Sampling in Diffusion Models with Marginal Preserving Particle Guidance It's Never Too Late: Noise Optimization for Collapse Recovery in Trained Diffusion Models
Reference 10
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T19:16:07.397917Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 95eace32-f837-4051-a008-09c2c145332b · outbound
This paper cites doi: 10.18653/v1/2021.emnlp-main.595.
Diverse Sampling in Diffusion Models with Marginal Preserving Particle Guidance doi: 10.18653/v1/2021.emnlp-main.595
Reference 11
- Resolution
- metadata mismatch
- doi, observed 2026-05-08T21:39:15.307608Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation d48732ea-536f-4e36-996f-36abe86c135e · outbound
This paper cites GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equi- librium.
Diverse Sampling in Diffusion Models with Marginal Preserving Particle Guidance GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equi- librium
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:17:49.507711Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation fa40809a-334e-4f5d-9db4-0987fa88019b · outbound
This paper cites Classifier-free diffusion guidance.
Diverse Sampling in Diffusion Models with Marginal Preserving Particle Guidance Classifier-free diffusion guidance
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:17:49.518462Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 049ad4b5-a9ca-4978-b7ae-f671c83f82af · outbound
This paper cites Denoising diffusion probabilistic models.Advances in Neural Information Processing Systems, 33:6840–6851.
Diverse Sampling in Diffusion Models with Marginal Preserving Particle Guidance Denoising diffusion probabilistic models.Advances in Neural Information Processing Systems, 33:6840–6851
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:17:49.525955Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 046e35ea-9d7e-4e59-b38d-806b3711907f · outbound
This paper cites Equivariant diffusion for molecule generation in 3D.
Diverse Sampling in Diffusion Models with Marginal Preserving Particle Guidance Equivariant diffusion for molecule generation in 3D
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:17:49.557254Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 637b3449-64fd-47c3-830a-de210229a88d · outbound
This paper cites Simulation-free differential dynamics through neural conservation laws.
Diverse Sampling in Diffusion Models with Marginal Preserving Particle Guidance Simulation-free differential dynamics through neural conservation laws
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:17:49.547287Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation e2eb905d-27c1-4508-a430-4ffa74e79013 · outbound
This paper cites An information-theoretic evaluation of generative models in learning multi-modal distributions.Advances in Neural Information Processing Systems, 36:9931–9943.
Diverse Sampling in Diffusion Models with Marginal Preserving Particle Guidance An information-theoretic evaluation of generative models in learning multi-modal distributions.Advances in Neural Information Processing Systems, 36:9931–9943
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:17:49.483449Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 8ef16559-a3fa-434b-8f73-4a3b655d4dd4 · outbound
This paper cites SPARKE: Scalable prompt- aware diversity and novelty guidance in diffusion models via RKE score.
Diverse Sampling in Diffusion Models with Marginal Preserving Particle Guidance SPARKE: Scalable prompt- aware diversity and novelty guidance in diffusion models via RKE score
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:17:49.495457Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 5754901b-d96a-48d7-b872-4f0f6f1b2c8b · outbound
This paper cites Rethinking FID: Towards a better evaluation metric for image generation.
Diverse Sampling in Diffusion Models with Marginal Preserving Particle Guidance Rethinking FID: Towards a better evaluation metric for image generation
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:17:49.472780Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation f463b6b1-41f6-4d21-9c5e-ba5a6ce77c57 · outbound
This paper cites Torsional diffusion for molecular conformer generation.Advances in neural information processing systems, 35:24240–24253.
Diverse Sampling in Diffusion Models with Marginal Preserving Particle Guidance Torsional diffusion for molecular conformer generation.Advances in neural information processing systems, 35:24240–24253
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:17:49.543935Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 5190adef-6bc7-41c9-9800-3b51fe62ee13 · outbound
This paper cites Diverse text-to-image generation via contrastive noise optimization.
Diverse Sampling in Diffusion Models with Marginal Preserving Particle Guidance Diverse text-to-image generation via contrastive noise optimization
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:17:49.503263Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation ce92016d-7ea4-4ded-8015-930fef555931 · outbound
This paper cites an unresolved cited work.
Diverse Sampling in Diffusion Models with Marginal Preserving Particle Guidance Unresolved cited work
Reference 22
- Resolution
- unresolved
- raw_fallback, observed 2026-05-26T13:17:49.514644Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation c14ea867-ad5c-42f5-b994-44ca9fa98be7 · outbound
This paper cites Shielded diffusion: Generating novel and diverse images using sparse repellency.
Diverse Sampling in Diffusion Models with Marginal Preserving Particle Guidance Shielded diffusion: Generating novel and diverse images using sparse repellency
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:17:49.461459Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 2bf8ade4-a2e2-485c-bace-387436f54df4 · outbound
This paper cites Feedback guidance of diffusion models.
Diverse Sampling in Diffusion Models with Marginal Preserving Particle Guidance Feedback guidance of diffusion models
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:17:49.570244Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 924a9cda-d3c8-4a4f-a549-b8eb5f2bc75f · 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.
Diverse Sampling in Diffusion Models with Marginal Preserving Particle Guidance Applying guidance in a limited interval improves sample and distribution quality in diffusion models.Advances in Neural Information Processing Systems, 37:122458–122483
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:17:49.485128Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation dc6ce5eb-8e8d-4a35-b93e-ba7b672aa5d1 · outbound
This paper cites Laion-aesthetics predictor v2.
Diverse Sampling in Diffusion Models with Marginal Preserving Particle Guidance Laion-aesthetics predictor v2
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:17:49.529059Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 383634c4-10f8-4c6d-88db-590d3a08c9c6 · outbound
This paper cites Diffusion-LM improves controllable text generation.Advances in neural information processing systems, 35:4328–4343.
Diverse Sampling in Diffusion Models with Marginal Preserving Particle Guidance Diffusion-LM improves controllable text generation.Advances in neural information processing systems, 35:4328–4343
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:17:49.448471Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 8a9a9324-fff0-4b13-9eaa-30bb19360c85 · outbound
This paper cites Microsoft COCO: Common objects in context.
Diverse Sampling in Diffusion Models with Marginal Preserving Particle Guidance Microsoft COCO: Common objects in context
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:17:49.450244Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation dbd1362d-04fb-4e36-a3c4-376678f371ba · outbound
This paper cites an unresolved cited work.
Diverse Sampling in Diffusion Models with Marginal Preserving Particle Guidance Unresolved cited work
Reference 29
- Resolution
- unresolved
- raw_fallback, observed 2026-05-26T13:17:49.481804Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 9b5eb67b-be0a-4717-a448-48046e213906 · outbound
This paper cites Flow straight and fast: Learning to generate and transfer data with rectified flow.
Diverse Sampling in Diffusion Models with Marginal Preserving Particle Guidance Flow straight and fast: Learning to generate and transfer data with rectified flow
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:17:49.464968Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 0e4aa639-949c-41b5-a764-5438ff611700 · outbound
This paper cites Score-Regularized Joint Sampling with Importance Weights for Flow Matching.
Diverse Sampling in Diffusion Models with Marginal Preserving Particle Guidance Score-Regularized Joint Sampling with Importance Weights for Flow Matching
Reference 31
- Resolution
- verified exact
- arxiv_id, observed 2026-07-07T03:18:10.688058Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation f9a719dd-b39f-46d8-a7f8-f95a9e7c18ba · outbound
This paper cites Discrete diffusion modeling by estimating the ratios of the data distribution.
Diverse Sampling in Diffusion Models with Marginal Preserving Particle Guidance Discrete diffusion modeling by estimating the ratios of the data distribution
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:17:49.529799Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation c5033e4b-c2b2-4788-8a5d-efd0578de277 · outbound
This paper cites an unresolved cited work.
Diverse Sampling in Diffusion Models with Marginal Preserving Particle Guidance Unresolved cited work
Reference 33
- Resolution
- unresolved
- raw_fallback, observed 2026-05-26T13:17:49.563387Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 8dcf6799-1b44-4807-be4b-2dca44fda744 · outbound
This paper cites ProCreate, don’t reproduce! propulsive energy diffusion for creative generation.
Diverse Sampling in Diffusion Models with Marginal Preserving Particle Guidance ProCreate, don’t reproduce! propulsive energy diffusion for creative generation
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:17:49.493831Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation a2000be2-3789-4643-a814-f97b8ada5849 · outbound
This paper cites DiverseFlow: Sample-efficient diverse mode coverage in flows.
Diverse Sampling in Diffusion Models with Marginal Preserving Particle Guidance DiverseFlow: Sample-efficient diverse mode coverage in flows
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:17:49.548578Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 2f026a3e-d779-461f-a91a-b9dc78399822 · outbound
This paper cites Narcowich and Joseph D.
Diverse Sampling in Diffusion Models with Marginal Preserving Particle Guidance Narcowich and Joseph D
Reference 36
- Resolution
- verified exact
- doi, observed 2026-05-08T21:39:15.300324Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation cea16668-34d2-4442-a683-6c72bc6fdc85 · outbound
This paper cites Representing flow fields with divergence-free kernels for reconstruction.Proceedings of the ACM on Computer Graphics and Interactive Techniques, 8(4):1–21.
Diverse Sampling in Diffusion Models with Marginal Preserving Particle Guidance Representing flow fields with divergence-free kernels for reconstruction.Proceedings of the ACM on Computer Graphics and Interactive Techniques, 8(4):1–21
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:17:49.540296Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 7dd7db10-653d-4e10-8b91-d8da4c59f3dd · outbound
This paper cites Representation Learning with Contrastive Predictive Coding.
Diverse Sampling in Diffusion Models with Marginal Preserving Particle Guidance Representation Learning with Contrastive Predictive Coding
Reference 38
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T19:16:07.366309Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 4ffa6def-d012-4e7e-8257-bcd1372fc9ce · outbound
This paper cites Inequalities for differential and integral equations.
Diverse Sampling in Diffusion Models with Marginal Preserving Particle Guidance Inequalities for differential and integral equations
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:17:49.432188Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 74660522-67a3-4e29-8065-b960c324218b · outbound
This paper cites Scaling group inference for diverse and high-quality generation.
Diverse Sampling in Diffusion Models with Marginal Preserving Particle Guidance Scaling group inference for diverse and high-quality generation
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:17:49.522673Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation a9547ca2-3550-41d8-a5e1-e8075f9751ae · outbound
This paper cites SDXL: Improving latent diffusion models for high-resolution image synthesis.
Diverse Sampling in Diffusion Models with Marginal Preserving Particle Guidance SDXL: Improving latent diffusion models for high-resolution image synthesis
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:17:49.457304Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation ae7fa3d9-3760-477a-89cc-d6a81b7e93cc · outbound
This paper cites Learning transferable visual models from natural language supervision.
Diverse Sampling in Diffusion Models with Marginal Preserving Particle Guidance Learning transferable visual models from natural language supervision
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:17:49.469903Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation b0c05e5d-903a-49ac-9f93-5dc3340a78ac · outbound
This paper cites an unresolved cited work.
Diverse Sampling in Diffusion Models with Marginal Preserving Particle Guidance Unresolved cited work
Reference 43
- Resolution
- unresolved
- raw_fallback, observed 2026-05-26T13:17:49.545332Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 89f096f5-87d9-46cf-96e5-42b26f398659 · outbound
This paper cites High- resolution image synthesis with latent diffusion models.
Diverse Sampling in Diffusion Models with Marginal Preserving Particle Guidance High- resolution image synthesis with latent diffusion models
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:17:49.551698Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation e84d2b52-0d78-4e1c-adf0-b5fd3b6ec47d · outbound
This paper cites an unresolved cited work.
Diverse Sampling in Diffusion Models with Marginal Preserving Particle Guidance Unresolved cited work
Reference 45
- Resolution
- unresolved
- raw_fallback, observed 2026-05-26T13:17:49.554385Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation cefca909-d681-4126-b8ee-828153fcab87 · outbound
This paper cites Simple and effective masked diffusion language models.Advances in Neural Information Processing Systems, 37:130136–130184.
Diverse Sampling in Diffusion Models with Marginal Preserving Particle Guidance Simple and effective masked diffusion language models.Advances in Neural Information Processing Systems, 37:130136–130184
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:17:49.560105Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation a648fb18-a3a4-4b6a-bd92-0c8015ae8702 · outbound
This paper cites Deep unsuper- vised learning using nonequilibrium thermodynamics.
Diverse Sampling in Diffusion Models with Marginal Preserving Particle Guidance Deep unsuper- vised learning using nonequilibrium thermodynamics
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:17:49.566967Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 03ca509d-a330-4700-8cb0-fcb1b8d5174b · outbound
This paper cites Denoising diffusion implicit models.
Diverse Sampling in Diffusion Models with Marginal Preserving Particle Guidance Denoising diffusion implicit models
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:17:49.542124Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 4edb5c9a-9743-47dd-8e28-f86d923e2fca · outbound
This paper cites Kingma, Abhishek Kumar, Stefano Ermon, and Ben Poole.
Diverse Sampling in Diffusion Models with Marginal Preserving Particle Guidance Kingma, Abhishek Kumar, Stefano Ermon, and Ben Poole
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:17:49.532214Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 96b04749-8650-4dac-9c7e-cbce6772af83 · outbound
This paper cites A bound for the error in the normal approximation to the distribution of a sum of dependent random variables.
Diverse Sampling in Diffusion Models with Marginal Preserving Particle Guidance A bound for the error in the normal approximation to the distribution of a sum of dependent random variables
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:17:49.535493Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 524a4381-67da-4193-9279-6b028a2bfa2a · outbound
This paper cites GeoDiff: A geometric diffusion model for molecular conformation generation.
Diverse Sampling in Diffusion Models with Marginal Preserving Particle Guidance GeoDiff: A geometric diffusion model for molecular conformation generation
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T13:17:49.538917Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Pith citing papers
Observation 5608cc70-e42c-42ae-976e-e058fd87ead4 · inbound
Manifold-Constrained Noise Optimization for Diverse Diffusion Sampling cites this paper.
Manifold-Constrained Noise Optimization for Diverse Diffusion Sampling Diverse Sampling in Diffusion Models with Marginal Preserving Particle Guidance
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-07-31T23:33:07.718877Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.