Paper Citation Record · LEDGER

Debiasing Guidance for Discrete Diffusion with Sequential Monte Carlo

As of 21 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 10 inbound Pith citation observations for arXiv:2502.06079.

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

pith.paper-citation-record.v1
2502.06079 v3

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T16:57:28.309713Z

measured 59 of 59 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:43:55.880351Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T15:37:06.069204Z

Reference resolution

49 of 49 outbound references displayed

verified exact2
verified fuzzy8
unresolved37
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ac899154-bc87-4903-a37a-284982906d75 · outbound

This paper cites write newline.

Debiasing Guidance for Discrete Diffusion with Sequential Monte Carlo write newline

Reference 1

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Source-reported events for the cited work

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Observation 397d61e8-8fd1-41e2-8037-453268c66eff · outbound

This paper cites Building Normalizing Flows with Stochastic Interpolants.

Debiasing Guidance for Discrete Diffusion with Sequential Monte Carlo Building Normalizing Flows with Stochastic Interpolants

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-08T16:57:27.383275Z

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Observation e2e74242-e7d5-4c81-a437-f0de9f3d4bdc · outbound

This paper cites NETS: A Non-Equilibrium Transport Sampler.

Debiasing Guidance for Discrete Diffusion with Sequential Monte Carlo NETS: A Non-Equilibrium Transport Sampler

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-08T16:57:27.408192Z

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Observation 9617b7ec-961b-443e-afb4-0f6b5678945b · outbound

This paper cites Stochastic Interpolants: A Unifying Framework for Flows and Diffusions.

Debiasing Guidance for Discrete Diffusion with Sequential Monte Carlo Stochastic Interpolants: A Unifying Framework for Flows and Diffusions

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-08T16:57:27.456350Z

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Observation 873077e4-430c-411a-bc35-b98265418942 · outbound

This paper cites Structured Voronoi Sampling.

Debiasing Guidance for Discrete Diffusion with Sequential Monte Carlo Structured Voronoi Sampling

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-08-08T16:57:28.914027Z

Source-reported events for the cited work

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Observation 0793d7cb-37a5-4ead-8d7b-fbd8536c78c7 · outbound

This paper cites Training Diffusion Models with Reinforcement Learning.

Debiasing Guidance for Discrete Diffusion with Sequential Monte Carlo Training Diffusion Models with Reinforcement Learning

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-08T16:57:27.543564Z

Source-reported events for the cited work

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Observation c7ec3fa9-2eec-46be-9277-8756b6ec3c69 · outbound

This paper cites Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets.

Debiasing Guidance for Discrete Diffusion with Sequential Monte Carlo Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-08T16:57:27.606295Z

Source-reported events for the cited work

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Observation 4c6774f0-72eb-4f4e-b640-4564f827b867 · outbound

This paper cites Classifier-Free Guidance is a Predictor-Corrector.

Debiasing Guidance for Discrete Diffusion with Sequential Monte Carlo Classifier-Free Guidance is a Predictor-Corrector

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-08T16:57:27.633787Z

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Observation 41fc48b8-a524-44a9-b51c-6d9693d80f03 · outbound

This paper cites A Continuous Time Framework for Discrete Denoising Models.

Debiasing Guidance for Discrete Diffusion with Sequential Monte Carlo A Continuous Time Framework for Discrete Denoising Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-08T16:57:27.663985Z

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Observation be55ab73-10c6-4a5b-99f9-74aa584b85ed · outbound

This paper cites an unresolved cited work.

Debiasing Guidance for Discrete Diffusion with Sequential Monte Carlo Unresolved cited work

Reference 10

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4cfb9366-9a80-4934-a7cf-3d384fab2cc3 · outbound

This paper cites Efficient training of energy-based models using jarzynski equality.

Debiasing Guidance for Discrete Diffusion with Sequential Monte Carlo Efficient training of energy-based models using jarzynski equality

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:57:29.159219Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation eec488af-0b1e-4eb7-8f33-ef0d9447d42b · outbound

This paper cites What does guidance do? A fine-grained analysis in a simple setting.

Debiasing Guidance for Discrete Diffusion with Sequential Monte Carlo What does guidance do? A fine-grained analysis in a simple setting

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-08T16:57:27.729933Z

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Observation 0ec62b62-2745-441f-a006-71a4628b1a36 · outbound

This paper cites Directly Fine-Tuning Diffusion Models on Differentiable Rewards.

Debiasing Guidance for Discrete Diffusion with Sequential Monte Carlo Directly Fine-Tuning Diffusion Models on Differentiable Rewards

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-08T16:57:27.734800Z

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Observation 192ecaed-44fb-4589-b44b-a572cc623033 · outbound

This paper cites an unresolved cited work.

Debiasing Guidance for Discrete Diffusion with Sequential Monte Carlo Unresolved cited work

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a98e1407-c2d6-4f04-a5e7-d667c5ca9f3c · outbound

This paper cites and Penev, S.

Debiasing Guidance for Discrete Diffusion with Sequential Monte Carlo and Penev, S

Reference 15

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Source-reported events for the cited work

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Observation dd9e6cbc-97e1-417f-8f7f-8e664c0a2324 · outbound

This paper cites DEFT: Efficient Fine-Tuning of Diffusion Models by Learning the Generalised $h$-transform.

Debiasing Guidance for Discrete Diffusion with Sequential Monte Carlo DEFT: Efficient Fine-Tuning of Diffusion Models by Learning the Generalised $h$-transform

Reference 16

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Observation a8682875-2d67-4d13-bfeb-77c295cd53da · outbound

This paper cites Diffusion Models Beat GANs on Image Synthesis.

Debiasing Guidance for Discrete Diffusion with Sequential Monte Carlo Diffusion Models Beat GANs on Image Synthesis

Reference 17

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Source-reported events for the cited work

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Observation df2990d7-ee92-47e1-bfae-f26b60eccb90 · outbound

This paper cites Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Control.

Debiasing Guidance for Discrete Diffusion with Sequential Monte Carlo Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Control

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-08T16:57:27.760687Z

Source-reported events for the cited work

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Observation 3ed20ba0-e887-41f4-a892-9e164f6b33ce · outbound

This paper cites Dpok: Reinforcement learning for fine-tuning text-to-image diffusion models.

Debiasing Guidance for Discrete Diffusion with Sequential Monte Carlo Dpok: Reinforcement learning for fine-tuning text-to-image diffusion models

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:57:29.116829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 968d1844-6374-4f0d-a993-ce4eae90f041 · outbound

This paper cites Likelihood-Based Diffusion Language Models.

Debiasing Guidance for Discrete Diffusion with Sequential Monte Carlo Likelihood-Based Diffusion Language Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-08T16:57:27.769899Z

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Observation 097bb78b-0d1f-4ea3-a70f-0b4bf87bb687 · outbound

This paper cites DeBERTa: Decoding-enhanced BERT with Disentangled Attention.

Debiasing Guidance for Discrete Diffusion with Sequential Monte Carlo DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-08T16:57:27.774979Z

Source-reported events for the cited work

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Observation 42b49b60-c1e2-420f-b403-6d5233d4937a · outbound

This paper cites Classifier-Free Diffusion Guidance.

Debiasing Guidance for Discrete Diffusion with Sequential Monte Carlo Classifier-Free Diffusion Guidance

Reference 23

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Observation ab977a48-cd9c-497f-8613-ac710ca5178a · outbound

This paper cites Denoising Diffusion Probabilistic Models.

Debiasing Guidance for Discrete Diffusion with Sequential Monte Carlo Denoising Diffusion Probabilistic Models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-08T16:57:27.868528Z

Source-reported events for the cited work

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Observation 2673b5b9-a32e-4fb0-a2db-40735aeadddc · outbound

This paper cites Equivariant Diffusion for Molecule Generation in 3D.

Debiasing Guidance for Discrete Diffusion with Sequential Monte Carlo Equivariant Diffusion for Molecule Generation in 3D

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-08T16:57:27.919810Z

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Observation 19737763-3702-4da8-8541-0cf31c0aa820 · outbound

This paper cites Training-Free Guidance for Discrete Diffusion Models for Molecular Generation.

Debiasing Guidance for Discrete Diffusion with Sequential Monte Carlo Training-Free Guidance for Discrete Diffusion Models for Molecular Generation

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-08-08T16:57:28.698921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5da276b2-86ba-497b-99dc-c19823abb1bd · outbound

This paper cites Crafting papers on machine learning.

Debiasing Guidance for Discrete Diffusion with Sequential Monte Carlo Crafting papers on machine learning

Reference 27

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Source-reported events for the cited work

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Observation 4a573bef-80d1-4191-b923-56adcb63656d · outbound

This paper cites Some properties of path measures.

Debiasing Guidance for Discrete Diffusion with Sequential Monte Carlo Some properties of path measures

Reference 28

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation feb138c5-2cb5-42a5-b5d3-7d64e2837af5 · outbound

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

Debiasing Guidance for Discrete Diffusion with Sequential Monte Carlo Derivative-Free Guidance in Continuous and Discrete Diffusion Models with Soft Value-Based Decoding

Reference 29

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Observation 8fccfe03-ccbb-456b-9b31-f966bf9ccf8d · outbound

This paper cites Flow Matching for Generative Modeling.

Debiasing Guidance for Discrete Diffusion with Sequential Monte Carlo Flow Matching for Generative Modeling

Reference 30

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Observation 8d09d5f1-4243-4859-9c27-58bde1b6c459 · outbound

This paper cites Flow Matching Guide and Code.

Debiasing Guidance for Discrete Diffusion with Sequential Monte Carlo Flow Matching Guide and Code

Reference 31

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Observation 3f63d417-e0ba-4db4-8db3-186eeb67f222 · outbound

This paper cites A., and Choi, Y.

Debiasing Guidance for Discrete Diffusion with Sequential Monte Carlo A., and Choi, Y

Reference 32

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Observation 1e8ef6c4-fcf8-41d0-9ca6-aa2c7b1574a8 · outbound

This paper cites Discrete diffusion language modeling by estimating the ratios of the data distribution, 2024.

Debiasing Guidance for Discrete Diffusion with Sequential Monte Carlo Discrete diffusion language modeling by estimating the ratios of the data distribution, 2024

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:57:29.068040Z

Source-reported events for the cited work

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Observation a614bbd2-8c58-4e2e-90a3-9bab16f54202 · outbound

This paper cites Weighting a resampled particle in sequential monte carlo.

Debiasing Guidance for Discrete Diffusion with Sequential Monte Carlo Weighting a resampled particle in sequential monte carlo

Reference 34

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Source-reported events for the cited work

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Observation a462399d-cffa-4b9f-8aab-c789c40b998c · outbound

This paper cites Unlocking Guidance for Discrete State-Space Diffusion and Flow Models.

Debiasing Guidance for Discrete Diffusion with Sequential Monte Carlo Unlocking Guidance for Discrete State-Space Diffusion and Flow Models

Reference 35

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Observation 9085d9eb-0ee3-4a11-a3cf-53580210f9df · outbound

This paper cites SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis.

Debiasing Guidance for Discrete Diffusion with Sequential Monte Carlo SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-08T16:57:28.244864Z

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Observation 5ae33b0a-3881-4f4f-a3a7-1b5e8706dd15 · outbound

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

Debiasing Guidance for Discrete Diffusion with Sequential Monte Carlo High-Resolution Image Synthesis with Latent Diffusion Models

Reference 37

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Observation f70062fa-a261-4f74-a845-1ed8859836ad · outbound

This paper cites U-Net: Convolutional Networks for Biomedical Image Segmentation.

Debiasing Guidance for Discrete Diffusion with Sequential Monte Carlo U-Net: Convolutional Networks for Biomedical Image Segmentation

Reference 38

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Observation eea7ab90-4d35-4b52-b745-7b45f87dee92 · outbound

This paper cites Simplified and generalized masked diffusion for discrete data.

Debiasing Guidance for Discrete Diffusion with Sequential Monte Carlo Simplified and generalized masked diffusion for discrete data

Reference 39

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Observation 0510777f-c138-455f-8ee4-26cbd0728333 · outbound

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

Debiasing Guidance for Discrete Diffusion with Sequential Monte Carlo Generative Modeling by Estimating Gradients of the Data Distribution

Reference 40

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Observation df8eeabb-ff18-4fbc-a7f5-a99892abf090 · outbound

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

Debiasing Guidance for Discrete Diffusion with Sequential Monte Carlo Score-Based Generative Modeling through Stochastic Differential Equations

Reference 41

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Source-reported events for the cited work

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Observation 777583d9-b230-406d-a37d-2f4009f9e595 · outbound

This paper cites Inference-Time Alignment in Diffusion Models with Reward-Guided Generation: Tutorial and Review.

Debiasing Guidance for Discrete Diffusion with Sequential Monte Carlo Inference-Time Alignment in Diffusion Models with Reward-Guided Generation: Tutorial and Review

Reference 42

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Observation f6e49b64-737a-40b4-a0ad-c743d401bb8c · outbound

This paper cites Denoising Diffusion Samplers.

Debiasing Guidance for Discrete Diffusion with Sequential Monte Carlo Denoising Diffusion Samplers

Reference 43

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Source-reported events for the cited work

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Observation ab727d0c-0c49-4078-8172-2c0b13718847 · outbound

This paper cites Transport meets variational inference: Controlled monte carlo diffusions.

Debiasing Guidance for Discrete Diffusion with Sequential Monte Carlo Transport meets variational inference: Controlled monte carlo diffusions

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:57:29.037933Z

Source-reported events for the cited work

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Observation a0f8f79d-fbfe-4e34-9607-a038bd1e4b95 · outbound

This paper cites Amortizing intractable inference in diffusion models for vision, language, and control.

Debiasing Guidance for Discrete Diffusion with Sequential Monte Carlo Amortizing intractable inference in diffusion models for vision, language, and control

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:57:29.021277Z

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Observation 2050a826-fe94-4332-867b-850a0bc9c69e · outbound

This paper cites Digress: Discrete denoising diffusion for graph generation.

Debiasing Guidance for Discrete Diffusion with Sequential Monte Carlo Digress: Discrete denoising diffusion for graph generation

Reference 46

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Observation 5515960a-97f2-4662-a9dd-e450711f0259 · outbound

This paper cites L., Juergens, D., Bennett, N.

Debiasing Guidance for Discrete Diffusion with Sequential Monte Carlo L., Juergens, D., Bennett, N

Reference 47

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Observation 7673240b-ded8-4a28-811d-623cd4b1e001 · outbound

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Debiasing Guidance for Discrete Diffusion with Sequential Monte Carlo Unresolved cited work

Reference 48

Resolution: unresolved; raw_fallback, observed 2026-08-08T16:57:28.985827Z

Source-reported events for the cited work

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Observation 6951fd3c-9933-4e1a-8a2b-1f100c300464 · outbound

This paper cites Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation.

Debiasing Guidance for Discrete Diffusion with Sequential Monte Carlo Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-08T16:57:28.305359Z

Source-reported events for the cited work

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Observation 8018e39d-c03c-447d-b772-a80feeb8852a · outbound

This paper cites Q., and Artzi, Y.

Debiasing Guidance for Discrete Diffusion with Sequential Monte Carlo Q., and Artzi, Y

Reference 50

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Pith citing papers

Observation cb02f833-8b13-4deb-ac07-5ed03b994a83 · inbound

Conditional Diffusion Models with Classifier-Free Gibbs-like Guidance cites this paper.

Conditional Diffusion Models with Classifier-Free Gibbs-like Guidance Debiasing Guidance for Discrete Diffusion with Sequential Monte Carlo

Reference 20

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Observation 59e22e83-ae91-48e4-9f1b-b447dd5c80cb · inbound

Solving Inverse Problems via Diffusion-Based Priors: An Approximation-Free Ensemble Sampling Approach cites this paper.

Solving Inverse Problems via Diffusion-Based Priors: An Approximation-Free Ensemble Sampling Approach Debiasing Guidance for Discrete Diffusion with Sequential Monte Carlo

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-07T10:54:49.849193Z

Source-reported events for the cited work

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Observation fd42f8a0-69d5-48bc-a975-0dee62fff36d · inbound

Efficient Inference for Coupled Hidden Markov Models in Continuous Time and Discrete Space cites this paper.

Efficient Inference for Coupled Hidden Markov Models in Continuous Time and Discrete Space Debiasing Guidance for Discrete Diffusion with Sequential Monte Carlo

Reference 11

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Source-reported events for the cited work

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Observation c6cd63d9-ac2c-4a05-bb40-e4388a4f9840 · inbound

Provable Diffusion Posterior Sampling for Bayesian Inversion cites this paper.

Provable Diffusion Posterior Sampling for Bayesian Inversion Debiasing Guidance for Discrete Diffusion with Sequential Monte Carlo

Reference 91

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Source-reported events for the cited work

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Observation 5b508757-0f7d-411f-a3ef-e127b47f654a · inbound

Focus on the Core: Empowering Diffusion Large Language Models by Self-Contrast cites this paper.

Focus on the Core: Empowering Diffusion Large Language Models by Self-Contrast Debiasing Guidance for Discrete Diffusion with Sequential Monte Carlo

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-11T16:46:22.488766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6bf560b0-829f-4caf-bee1-eba402f44a21 · inbound

Simple Approximation and Derivative Free Inference-Time Scaling for Diffusion Models via Sequential Monte Carlo on Path Measures cites this paper.

Simple Approximation and Derivative Free Inference-Time Scaling for Diffusion Models via Sequential Monte Carlo on Path Measures Debiasing Guidance for Discrete Diffusion with Sequential Monte Carlo

Reference 78

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T01:13:18.578749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation af10d25d-4533-4d04-ab63-13045801b765 · inbound

Contrastive Distribution Matching for Amortized Sequential Monte Carlo in Discrete Diffusion cites this paper.

Contrastive Distribution Matching for Amortized Sequential Monte Carlo in Discrete Diffusion Debiasing Guidance for Discrete Diffusion with Sequential Monte Carlo

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-25T05:30:22.424012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 749a86bc-16d7-49f9-844e-cdf777c4d935 · inbound

Adaptive Order Policies for Masked Diffusion cites this paper.

Adaptive Order Policies for Masked Diffusion Debiasing Guidance for Discrete Diffusion with Sequential Monte Carlo

Reference 78

Resolution: metadata mismatch; arxiv_id, observed 2026-06-28T23:42:49.864011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e5623b43-1d88-46f4-b04b-b1d35d92df80 · inbound

Sequentially-Controlled Interactive Multi-Particle Flow-Maps for Online Feedback-Driven Search cites this paper.

Sequentially-Controlled Interactive Multi-Particle Flow-Maps for Online Feedback-Driven Search Debiasing Guidance for Discrete Diffusion with Sequential Monte Carlo

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-07-02T15:37:06.070722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d9eda099-0141-456a-9a4d-65c992d15c3b · inbound

Bootstrap Flow-Map Tree Sampling Enables Online Feedback Driven Search cites this paper.

Bootstrap Flow-Map Tree Sampling Enables Online Feedback Driven Search Debiasing Guidance for Discrete Diffusion with Sequential Monte Carlo

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-12T06:09:18.074799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.