Paper Citation Record · LEDGER

DDPS: Discrete Diffusion Posterior Sampling for Paths in Layered Graphs

As of 18 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 2 inbound Pith citation observations for arXiv:2504.20754.

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

pith.paper-citation-record.v1
2504.20754 v1

Coverage vector

measured 51 of 51 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:27:23.073275Z

measured 53 of 53 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:54:50.154612Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T10:54:51.497845Z

Reference resolution

51 of 51 outbound references displayed

verified exact1
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation baa0d2f8-a9d1-4cd3-bb99-8748cab2d380 · outbound

This paper cites write newline.

DDPS: Discrete Diffusion Posterior Sampling for Paths in Layered Graphs write newline

Reference 1

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Observation 886a1d32-58ac-4a9e-ab63-8aed0c3de736 · outbound

This paper cites Claude 3.5 Sonnet.

DDPS: Discrete Diffusion Posterior Sampling for Paths in Layered Graphs Claude 3.5 Sonnet

Reference 2

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Observation 3fd2c847-a7ed-4511-9074-0bf3848e2416 · outbound

This paper cites Structured denoising diffusion models in discrete state-spaces.

DDPS: Discrete Diffusion Posterior Sampling for Paths in Layered Graphs Structured denoising diffusion models in discrete state-spaces

Reference 3

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Observation b7cbe819-e93e-4477-8e99-b0089de9c7eb · outbound

This paper cites D irichlet diffusion score model for biological sequence generation.

DDPS: Discrete Diffusion Posterior Sampling for Paths in Layered Graphs D irichlet diffusion score model for biological sequence generation

Reference 4

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Observation 0eaa325b-300b-4ace-9550-f0ae8e006a78 · outbound

This paper cites A continuous time framework for discrete denoising models.

DDPS: Discrete Diffusion Posterior Sampling for Paths in Layered Graphs A continuous time framework for discrete denoising models

Reference 5

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Observation 72d5b25a-1dee-49db-a798-3b3281f5c8cd · outbound

This paper cites Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design.

DDPS: Discrete Diffusion Posterior Sampling for Paths in Layered Graphs Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design

Reference 6

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Source-reported events for the cited work

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Observation f5628c3e-b27e-4924-bdec-c1c5f4919a4d · outbound

This paper cites Contested logistics: A game-theoretic approach.

DDPS: Discrete Diffusion Posterior Sampling for Paths in Layered Graphs Contested logistics: A game-theoretic approach

Reference 7

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Observation dd0d4530-27ba-4560-9bef-da2978688333 · outbound

This paper cites Diffusion policy: Visuomotor policy learning via action diffusion.

DDPS: Discrete Diffusion Posterior Sampling for Paths in Layered Graphs Diffusion policy: Visuomotor policy learning via action diffusion

Reference 8

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Source-reported events for the cited work

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Observation 624ac457-4967-42ee-9e01-fc08789a82e0 · outbound

This paper cites Diffusion models beat gans on image synthesis.

DDPS: Discrete Diffusion Posterior Sampling for Paths in Layered Graphs Diffusion models beat gans on image synthesis

Reference 9

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Observation 00f5d5a9-47b7-4e8c-8c68-436a6b216b79 · outbound

This paper cites Spearman's footrule as a measure of disarray.

DDPS: Discrete Diffusion Posterior Sampling for Paths in Layered Graphs Spearman's footrule as a measure of disarray

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:27:23.803044Z

Source-reported events for the cited work

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Observation 20e427a2-d85a-416c-b3f6-64c6f7937a8e · outbound

This paper cites LTLDoG : Satisfying temporally-extended symbolic constraints for safe diffusion-based planning.

DDPS: Discrete Diffusion Posterior Sampling for Paths in Layered Graphs LTLDoG : Satisfying temporally-extended symbolic constraints for safe diffusion-based planning

Reference 11

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Source-reported events for the cited work

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Observation eed138ea-c0ce-4145-8721-30899e44343c · outbound

This paper cites Diffusion meets options: Hierarchical generative skill composition for temporally-extended tasks.

DDPS: Discrete Diffusion Posterior Sampling for Paths in Layered Graphs Diffusion meets options: Hierarchical generative skill composition for temporally-extended tasks

Reference 12

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Observation 56895538-f1cb-4fb3-bca8-6cf01613a531 · outbound

This paper cites an unresolved cited work.

DDPS: Discrete Diffusion Posterior Sampling for Paths in Layered Graphs Unresolved cited work

Reference 13

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Observation 7ae2e055-f9a6-4a0f-8d4b-2db4fb2c9c9e · outbound

This paper cites Guided Discrete Diffusion for Electronic Health Record Generation.

DDPS: Discrete Diffusion Posterior Sampling for Paths in Layered Graphs Guided Discrete Diffusion for Electronic Health Record Generation

Reference 14

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Source-reported events for the cited work

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Observation da59c50f-4758-4043-854a-cd903b9a3f7d · outbound

This paper cites Classifier-free diffusion guidance.

DDPS: Discrete Diffusion Posterior Sampling for Paths in Layered Graphs Classifier-free diffusion guidance

Reference 15

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Source-reported events for the cited work

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Observation 3b908519-c329-4d77-84f3-b2552ae0260d · outbound

This paper cites Denoising diffusion probabilistic models.

DDPS: Discrete Diffusion Posterior Sampling for Paths in Layered Graphs Denoising diffusion probabilistic models

Reference 16

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Source-reported events for the cited work

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Observation 2b9a671c-e49f-45c5-a919-44db2dbb213e · outbound

This paper cites Argmax flows and multinomial diffusion: Learning categorical distributions.

DDPS: Discrete Diffusion Posterior Sampling for Paths in Layered Graphs Argmax flows and multinomial diffusion: Learning categorical distributions

Reference 17

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Source-reported events for the cited work

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Observation 706cfb72-1c5a-43c3-9df8-c8df6e1c1fd1 · outbound

This paper cites Diffusion- LM improves controllable text generation.

DDPS: Discrete Diffusion Posterior Sampling for Paths in Layered Graphs Diffusion- LM improves controllable text generation

Reference 18

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Source-reported events for the cited work

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Observation 7384da4c-9692-43f0-b13e-e8dd1d59251d · outbound

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

DDPS: Discrete Diffusion Posterior Sampling for Paths in Layered Graphs Derivative-Free Guidance in Continuous and Discrete Diffusion Models with Soft Value-Based Decoding

Reference 19

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This paper cites Decoupled Weight Decay Regularization.

DDPS: Discrete Diffusion Posterior Sampling for Paths in Layered Graphs Decoupled Weight Decay Regularization

Reference 20

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Observation acc8979e-930b-4715-9968-190563b6af4c · outbound

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

DDPS: Discrete Diffusion Posterior Sampling for Paths in Layered Graphs Discrete diffusion modeling by estimating the ratios of the data distribution

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:27:23.705041Z

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Observation ec35ce52-7cb4-4605-bbce-a940ec4cae00 · outbound

This paper cites Elucidating the design space of classifier-guided diffusion generation.

DDPS: Discrete Diffusion Posterior Sampling for Paths in Layered Graphs Elucidating the design space of classifier-guided diffusion generation

Reference 22

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Source-reported events for the cited work

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Observation e1a13d24-2bcb-4432-9213-bdfba69f389f · outbound

This paper cites Concrete score matching: Generalized score matching for discrete data.

DDPS: Discrete Diffusion Posterior Sampling for Paths in Layered Graphs Concrete score matching: Generalized score matching for discrete data

Reference 23

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Source-reported events for the cited work

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Observation 2a1dfd95-9f80-4e80-9c5a-cdf09471ee0d · outbound

This paper cites G2D2 : Gradient-guided discrete diffusion for image inverse problem solving.

DDPS: Discrete Diffusion Posterior Sampling for Paths in Layered Graphs G2D2 : Gradient-guided discrete diffusion for image inverse problem solving

Reference 24

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Source-reported events for the cited work

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Observation 5484ae7a-8ca9-45fe-9a34-097c1c0ede3f · outbound

This paper cites Improved denoising diffusion probabilistic models.

DDPS: Discrete Diffusion Posterior Sampling for Paths in Layered Graphs Improved denoising diffusion probabilistic models

Reference 25

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Source-reported events for the cited work

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Observation d1bf2fbf-f5b3-4a72-9682-b3dcc9dced05 · outbound

This paper cites GLIDE : Towards photorealistic image generation and editing with text-guided diffusion models.

DDPS: Discrete Diffusion Posterior Sampling for Paths in Layered Graphs GLIDE : Towards photorealistic image generation and editing with text-guided diffusion models

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:27:23.654412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7e8a2ff7-e109-4e57-bc23-b6a0b87461bc · outbound

This paper cites Unlocking guidance for discrete state-space diffusion and flow models.

DDPS: Discrete Diffusion Posterior Sampling for Paths in Layered Graphs Unlocking guidance for discrete state-space diffusion and flow models

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:27:23.638849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 62e0e6ff-60b9-4f4c-a33b-5a37c5285693 · outbound

This paper cites Permutation invariant graph generation via score-based generative modeling.

DDPS: Discrete Diffusion Posterior Sampling for Paths in Layered Graphs Permutation invariant graph generation via score-based generative modeling

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:27:23.623040Z

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Observation 0e5a9175-3462-48fa-8f09-af67c75de320 · outbound

This paper cites Pytorch: An imperative style, high-performance deep learning library.

DDPS: Discrete Diffusion Posterior Sampling for Paths in Layered Graphs Pytorch: An imperative style, high-performance deep learning library

Reference 29

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Observation 181e91e0-b5d6-4943-b7d1-39ed5b7ae1c0 · outbound

This paper cites Bronstein, Pranam Chatterjee, Alexander Tong, and Joey Bose.

DDPS: Discrete Diffusion Posterior Sampling for Paths in Layered Graphs Bronstein, Pranam Chatterjee, Alexander Tong, and Joey Bose

Reference 30

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 13e91d73-8249-4502-a252-5ceaa35554db · outbound

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

DDPS: Discrete Diffusion Posterior Sampling for Paths in Layered Graphs High-resolution image synthesis with latent diffusion models

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:27:23.580691Z

Source-reported events for the cited work

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Observation 0585dbf3-9083-43ef-a66c-be553f49c263 · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation.

DDPS: Discrete Diffusion Posterior Sampling for Paths in Layered Graphs U-net: Convolutional networks for biomedical image segmentation

Reference 32

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Source-reported events for the cited work

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This paper cites Minimal implementation of a D3PM (structured denoising diffusion models in discrete state-spaces), in PyTorch.

DDPS: Discrete Diffusion Posterior Sampling for Paths in Layered Graphs Minimal implementation of a D3PM (structured denoising diffusion models in discrete state-spaces), in PyTorch

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:27:23.554943Z

Source-reported events for the cited work

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Observation 01b31d2e-8d5b-4e35-bb5a-0e5bd037bb39 · outbound

This paper cites Simple guidance mechanisms for discrete diffusion models.

DDPS: Discrete Diffusion Posterior Sampling for Paths in Layered Graphs Simple guidance mechanisms for discrete diffusion models

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:27:23.539580Z

Source-reported events for the cited work

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Observation c10b0ebb-694d-4112-8aaa-f77e7b14050e · outbound

This paper cites Graph-constrained diffusion for end-to-end path planning.

DDPS: Discrete Diffusion Posterior Sampling for Paths in Layered Graphs Graph-constrained diffusion for end-to-end path planning

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:27:23.524315Z

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Observation bb773c48-3da6-47dd-94be-b9cf8f406ae7 · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics.

DDPS: Discrete Diffusion Posterior Sampling for Paths in Layered Graphs Deep unsupervised learning using nonequilibrium thermodynamics

Reference 36

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Source-reported events for the cited work

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Observation cc21f2ce-6a53-49d8-8a41-60935222e5ed · outbound

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

DDPS: Discrete Diffusion Posterior Sampling for Paths in Layered Graphs Generative modeling by estimating gradients of the data distribution

Reference 37

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Source-reported events for the cited work

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Observation 91c787b0-1601-49ea-b528-dc548f5b3153 · outbound

This paper cites Score-based generative modeling through stochastic differential equations.

DDPS: Discrete Diffusion Posterior Sampling for Paths in Layered Graphs Score-based generative modeling through stochastic differential equations

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-16T05:27:23.011752Z

Source-reported events for the cited work

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Observation ab9f7867-cc27-454d-b8c0-2a2172027264 · outbound

This paper cites D irichlet flow matching with applications to DNA sequence design.

DDPS: Discrete Diffusion Posterior Sampling for Paths in Layered Graphs D irichlet flow matching with applications to DNA sequence design

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:27:23.479689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1a21993a-5f88-43fb-b24a-1c15f62533c6 · outbound

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

DDPS: Discrete Diffusion Posterior Sampling for Paths in Layered Graphs Inference-Time Alignment in Diffusion Models with Reward-Guided Generation: Tutorial and Review

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-16T05:27:23.020733Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fef6d3ca-6bd4-4bd4-8de5-2a9d5aceca0f · outbound

This paper cites Layered graph security games.

DDPS: Discrete Diffusion Posterior Sampling for Paths in Layered Graphs Layered graph security games

Reference 41

Resolution: verified exact; doi, observed 2026-08-16T05:27:23.116000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 99f53621-8d6b-4bef-bd87-d3704e69ac99 · outbound

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

DDPS: Discrete Diffusion Posterior Sampling for Paths in Layered Graphs DiGress : Discrete denoising diffusion for graph generation

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:27:23.464139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 58f03335-ac68-41db-8471-ede9ec1ed97f · outbound

This paper cites Fine-tuning discrete diffusion models via reward optimization with applications to DNA and protein design.

DDPS: Discrete Diffusion Posterior Sampling for Paths in Layered Graphs Fine-tuning discrete diffusion models via reward optimization with applications to DNA and protein design

Reference 43

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Source-reported events for the cited work

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Observation 6dc5de3e-351f-400d-9666-d0ab6afa0837 · outbound

This paper cites Equivariant diffusion policy.

DDPS: Discrete Diffusion Posterior Sampling for Paths in Layered Graphs Equivariant diffusion policy

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:27:23.438610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6eab9b5a-1196-459e-9f8d-f85958b010e8 · outbound

This paper cites Geodiff: A geometric diffusion model for molecular conformation generation.

DDPS: Discrete Diffusion Posterior Sampling for Paths in Layered Graphs Geodiff: A geometric diffusion model for molecular conformation generation

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-16T05:27:23.044300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 046b372b-00d8-4d9e-a9cf-b38a21aff23d · outbound

This paper cites Swin GNN : Rethinking permutation invariance in diffusion models for graph generation.

DDPS: Discrete Diffusion Posterior Sampling for Paths in Layered Graphs Swin GNN : Rethinking permutation invariance in diffusion models for graph generation

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:27:23.412493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 82232eaa-1b30-49d6-9ca5-d9fcf16a017f · outbound

This paper cites Trippe, Valentin De Bortoli, Emile Mathieu, Arnaud Doucet, Regina Barzilay, and Tommi Jaakkola.

DDPS: Discrete Diffusion Posterior Sampling for Paths in Layered Graphs Trippe, Valentin De Bortoli, Emile Mathieu, Arnaud Doucet, Regina Barzilay, and Tommi Jaakkola

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:27:23.396297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9b395380-2e8a-4664-bc94-6ce8a1b0ada6 · outbound

This paper cites Optimal escape interdiction on transportation networks.

DDPS: Discrete Diffusion Posterior Sampling for Paths in Layered Graphs Optimal escape interdiction on transportation networks

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:27:23.380567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 46f85c1e-8695-45ec-9e2e-1d9dc4e7a839 · outbound

This paper cites @esa (Ref.

DDPS: Discrete Diffusion Posterior Sampling for Paths in Layered Graphs @esa (Ref

Reference 49

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Observation 5cae63ff-6a64-459e-95d5-9f0e04d77c8b · outbound

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DDPS: Discrete Diffusion Posterior Sampling for Paths in Layered Graphs Unresolved cited work

Reference 50

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc542180-a426-4a52-a576-57e6f245bdf4 · outbound

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

DDPS: Discrete Diffusion Posterior Sampling for Paths in Layered Graphs Unlocking Guidance for Discrete State-Space Diffusion and Flow Models

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-16T05:27:23.073275Z

Source-reported events for the cited work

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Pith citing papers

Observation 3d31aabd-2503-4dab-b29d-959b40ff9218 · 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 DDPS: Discrete Diffusion Posterior Sampling for Paths in Layered Graphs

Reference 142

Resolution: verified exact; local_arxiv, observed 2026-08-07T10:54:51.502013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Discrete Diffusion Models: A Unified Framework from Tokenization to Generation cites this paper.

Discrete Diffusion Models: A Unified Framework from Tokenization to Generation DDPS: Discrete Diffusion Posterior Sampling for Paths in Layered Graphs

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