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Paper Citation Record · LEDGER

Debiasing Guidance for Discrete Diffusion with Sequential Monte Carlo

As of 10 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 2026-08-10T06:31:04.303077+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
  • metadata mismatch2

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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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

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source=arxiv_source observed=2026-08-08T16:57:27.383275Z digest=sha256:88e47ad0a7e4d6c65004e8e5dc7eb62fce2e1841ade1b89a7eee4a9f51e098d4

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

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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

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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

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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.

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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

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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

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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

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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

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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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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

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

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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

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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

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

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

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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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local_arxiv, observed 2026-08-08T16:57:28.352265Z

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

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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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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

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source=arxiv_source observed=2026-08-08T16:57:27.760687Z digest=sha256:1a2e768cd9c82ada94d3cdfad026fa0fc986d894accf23e5b7c5643bbaa25fe1

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

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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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-08T16:57:27.765670Z digest=sha256:1577707cde7ad5369d327f4ea504ae62b9cc95588ff96bfc226a74fb8af873a1

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

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source=arxiv_source observed=2026-08-08T16:57:27.769899Z digest=sha256:e46747a409f2ab7a626ac7dfa21ad3b815742e364a9ea7ff32ad64a55a8e49e6

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

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source=arxiv_source observed=2026-08-08T16:57:27.774979Z digest=sha256:8314fb6e2d4db2a68f43f84bee684353c56261eaccf04f1417d9f9cf138ed500

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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source=arxiv_source observed=2026-08-08T16:57:27.829729Z digest=sha256:fdbc08f83740ad67d015b60dceb8e6632085f59379925623704dbdb5d61df353

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

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

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source=arxiv_source observed=2026-08-08T16:57:27.868528Z digest=sha256:e66c76b3a7b9f95bf8c9abb28fd52a4de14d4aac9c47455a056532f9c7e30055

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

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source=arxiv_source observed=2026-08-08T16:57:27.919810Z digest=sha256:4e2125af632bc94fce22c6b4d66ec642b27f1c0e0e6cb9fb75835a37af2c81d3

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

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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 2026-08-10T06:31:04.303077+00:00.

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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=arxiv_source observed=2026-08-08T16:57:28.103786Z digest=sha256:0ac7aff70127b15609a59ee562f70fa6e04dd906831bc925ccfc5b654b6cdb56

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-08T16:57:28.128535Z digest=sha256:724629fab0e0a228d14e6f52d73dc5a87e27e0b42f63febce8dee11ad777b90e

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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source=arxiv_source observed=2026-08-08T16:57:28.155146Z digest=sha256:5b0422cd669d4cbc43ae2bb23ca20572ccdfa5133bf993b5699bef0577f01fc4

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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source=arxiv_source observed=2026-08-08T16:57:28.173199Z digest=sha256:b0a029d357b57852579024caf48b2f33d7a19c8ca63eecef068583bd739a652a

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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source=arxiv_source observed=2026-08-08T16:57:28.198175Z digest=sha256:853fc9fbb990cceaae1fc2fbfbe8b9d29966db6cc4c94597461adaf85ad4592a

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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source=arxiv_source observed=2026-08-08T16:57:28.220629Z digest=sha256:00504727390d61687b976d7f88227507db65b547bb9c06259662c29bfdf38a24

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

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raw_fallback, observed 2026-08-08T16:57:29.068040Z

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.

source=arxiv_source observed=2026-08-08T16:57:28.230042Z digest=sha256:eed3ebb7b534ad571c63664eca005cfa7dc7b65117980392bceb4bd4d69656b1

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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raw_fallback, observed 2026-08-08T16:57:28.631030Z

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

source=arxiv_source observed=2026-08-08T16:57:28.235185Z digest=sha256:917aa6a3c1bc38343045c91548708e6f2a1859e0387bc41e62245ccdeee55805

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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source=arxiv_source observed=2026-08-08T16:57:28.239962Z digest=sha256:6bcadde050b1b77ab3565459a809a76468ce3bf21f0b8849b0d8cbc9818f2b39

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

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source=arxiv_source observed=2026-08-08T16:57:28.244864Z digest=sha256:bd114dde5932c2659ac9069cc0737c3960b217e8b2868c5aeb62b9d952816b0f

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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source=arxiv_source observed=2026-08-08T16:57:28.249937Z digest=sha256:928c72d9bc33ab06ed01280a2a1abccf85a6b40a54cfa721f3522d7252731f77

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T16:57:28.254623Z digest=sha256:3b2a027874d65c0fe47c7ca5b59e081770a59cbc9e3e5c36fea0ecbbee4ac892

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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raw_fallback, observed 2026-08-08T16:57:29.053056Z

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.

source=arxiv_source observed=2026-08-08T16:57:28.259489Z digest=sha256:5bd202c3a5babefcc995e5815b523aeedccda1c09b3c38492aa27bfff401b65d

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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no resolver link, observed 2026-08-08T16:57:28.264789Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T16:57:28.264789Z digest=sha256:8ccc58125657ffef510181408dab31da59dcb5e9390939de3a9b5e81967e8dc2

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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no resolver link, observed 2026-08-08T16:57:28.270387Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-08T16:57:28.270387Z digest=sha256:033e1817aff65d383a6c5fece0fb7414e984627c6b2e94d7bd239ae64aa8f5e8

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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no resolver link, observed 2026-08-08T16:57:28.275628Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T16:57:28.275628Z digest=sha256:45b884e7d354e948511b6e250c289ad768e6d508d5267308187d5034b129458a

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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no resolver link, observed 2026-08-08T16:57:28.280607Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T16:57:28.280607Z digest=sha256:395aa842acea386598a50f234ab01791b244566c4fc4ffdddb4afa325ca7e9cf

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

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

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.

source=arxiv_source observed=2026-08-08T16:57:28.285580Z digest=sha256:e2ebcc1ec0a531e5d05fd82ca3a0c26d49031f33c2dcfd8dae64ba06aec8f1ba

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

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

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.

source=arxiv_source observed=2026-08-08T16:57:28.290162Z digest=sha256:e116f60c07cde5cef39dd3b27f58765e526ae4c9ce888b51cb32616263bfe8ba

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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no resolver link, observed 2026-08-08T16:57:28.294038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T16:57:28.294038Z digest=sha256:d6ff53b096e73683331aacfefdc1ac23bac24d90bf1fadb59618e432b596a09c

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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no resolver link, observed 2026-08-08T16:57:28.297852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T16:57:28.297852Z digest=sha256:b43addb8546c614c65a408fc2b908a9066ed2810bdcdfb0cd6723fa18fd57a77

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

This paper cites an unresolved cited work.

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

Reference 48

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raw_fallback, observed 2026-08-08T16:57:28.985827Z

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.

source=arxiv_source observed=2026-08-08T16:57:28.301679Z digest=sha256:7ecb900b0bea86601e60ba863d3d46e8f3b0dad6bb5324116b4ad95173bffdbf

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T16:57:28.305359Z digest=sha256:563f31241dc4b3fbb3e5b85a033010371336b0a7df86338148368f49ba4361fb

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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no resolver link, observed 2026-08-08T16:57:28.309713Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-08T16:57:28.309713Z digest=sha256:55b28e0e803a588ebbdc72e6dac30c0bedeaa2e2ff32860053cb9ec31debb552

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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no resolver link, observed 2026-08-07T13:43:55.880351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:43:55.880351Z digest=sha256:b548246c986ad8e310e0d0687e6b59224039c58fc8684614f46e20413ec7e098

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:54:49.849193Z digest=sha256:ad9bfcc8a4f8949d1e3e9fe44f959b0369901809a56ac1a06c0fb68b3134c8cc

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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metadata mismatch
arxiv_id, observed 2026-05-18T07:16:02.015348Z

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.

source=pdf_text observed=2026-05-18T07:14:42.051614Z digest=sha256:8956608f5e1eeff53d42a73ca57bcc3501e06dd2e7314a62f1ae78f1677e54a3

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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no resolver link, observed 2026-08-03T17:55:18.555429Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-03T17:55:18.555429Z digest=sha256:4a6a326fce4cc72a1842e34f8a51f2c53e9fd60975bd191aa2fa6fdf3c1689b9

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

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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-09T14:59:49.792976Z digest=sha256:0c3ed81d50c198ad7840e100e9079df9cc90ffe71d5ba6ffc37f52b0864e3e10

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

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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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-20T01:13:04.430135Z digest=sha256:0127889bc03e3e4f32e37d052c5505ffef860f5bc9e143d61c81fb996c67ebac

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

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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-25T05:30:15.053277Z digest=sha256:0714f4bb5a3462553fb34ef794498dee98038954c175622e8f990ab951ebb2f2

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

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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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-28T23:33:40.937370Z digest=sha256:b77563b087e41e18d2dee00f0eae93e247bb33e7bd7077a77bc7ff4144e2d8ce

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

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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-02T15:29:55.860573Z digest=sha256:1c51dafe64f5ae66fbe8753af2e6359a0e5c28da0e1bd8aaa3753a93e1fa6010

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T06:09:18.074799Z digest=sha256:dc31f0e71e66ef0133334e6b6ab4e39b67e79a237bf4b71c02f6ba1689dc309d