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Paper Citation Record · LEDGER

LapDDPM: A Conditional Graph Diffusion Model for scRNA-seq Generation with Spectral Adversarial Perturbations

As of 22 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 0 inbound Pith citation observations for arXiv:2506.13344.

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

pith.paper-citation-record.v1
2506.13344 v1

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:07:41.157729Z

measured 49 of 49 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

49 of 49 outbound references displayed

  • verified exact0
  • verified fuzzy36
  • unresolved11
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1a8757e3-c8ef-4974-82f3-94fb6e60aec4 · outbound

This paper cites PBMC3K dataset, 2017.

LapDDPM: A Conditional Graph Diffusion Model for scRNA-seq Generation with Spectral Adversarial Perturbations PBMC3K dataset, 2017

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-15T20:07:40.920115Z digest=sha256:dc4b8c275d0f8e83e376c30e25df97b98bef2b0fc34f31858ceec1df9a0c9e13

Observation 0dbb2820-277f-4451-96b0-92a080243fc5 · outbound

This paper cites Protein diffusion models for generation and design.

LapDDPM: A Conditional Graph Diffusion Model for scRNA-seq Generation with Spectral Adversarial Perturbations Protein diffusion models for generation and design

Reference 2

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Source-reported events for the cited work

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Observation 300b20ea-86b5-4c57-b732-047c4a5375b5 · outbound

This paper cites Analyzing the expressive power of graph neural networks in a spectral perspective.

LapDDPM: A Conditional Graph Diffusion Model for scRNA-seq Generation with Spectral Adversarial Perturbations Analyzing the expressive power of graph neural networks in a spectral perspective

Reference 3

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Source-reported events for the cited work

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Observation 0d1d734a-2800-4bcd-b47d-39fac1271ef1 · outbound

This paper cites Graph contrastive learning with stable and scalable spectral encoding.

LapDDPM: A Conditional Graph Diffusion Model for scRNA-seq Generation with Spectral Adversarial Perturbations Graph contrastive learning with stable and scalable spectral encoding

Reference 4

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation a62ced84-c273-42f0-93f3-fd7f636c447c · outbound

This paper cites M., Gretton, A., Sch \"o lkopf, B., Smola, A.

LapDDPM: A Conditional Graph Diffusion Model for scRNA-seq Generation with Spectral Adversarial Perturbations M., Gretton, A., Sch \"o lkopf, B., Smola, A

Reference 5

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-15T20:07:40.942643Z digest=sha256:22b2e2578a2d685a951b92a8c8dbbd2e5078aaa83a7090390c57d54b29c37e12

Observation bf4b0474-d47a-41e5-92bc-67d63181725f · outbound

This paper cites A restricted black-box adversarial framework towards attacking graph embedding models.

LapDDPM: A Conditional Graph Diffusion Model for scRNA-seq Generation with Spectral Adversarial Perturbations A restricted black-box adversarial framework towards attacking graph embedding models

Reference 6

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Source-reported events for the cited work

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Observation 99f36f27-da8b-44c7-a1cc-7b3878d66895 · outbound

This paper cites Flow-sc : A normalizing flow-based deep generative model for single-cell rna sequencing data.

LapDDPM: A Conditional Graph Diffusion Model for scRNA-seq Generation with Spectral Adversarial Perturbations Flow-sc : A normalizing flow-based deep generative model for single-cell rna sequencing data

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 7dc66da1-eb89-49b4-a048-0ce048de4c97 · outbound

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LapDDPM: A Conditional Graph Diffusion Model for scRNA-seq Generation with Spectral Adversarial Perturbations Unresolved cited work

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:07:40.957919Z digest=sha256:8ec40878a17cf15ef186e62891aec4ab1893644f14127c40816f946943d7e6f3

Observation c9961b39-3958-4f94-a790-a77e17d20166 · outbound

This paper cites an unresolved cited work.

LapDDPM: A Conditional Graph Diffusion Model for scRNA-seq Generation with Spectral Adversarial Perturbations Unresolved cited work

Reference 9

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Source-reported events for the cited work

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Observation 5f8d15cf-7c8f-4eb2-9095-d06bcde3a0f3 · outbound

This paper cites Adversarial attack on graph structured data.

LapDDPM: A Conditional Graph Diffusion Model for scRNA-seq Generation with Spectral Adversarial Perturbations Adversarial attack on graph structured data

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 5f512fac-7532-47b0-9856-f5e7a0b17374 · outbound

This paper cites Convolutional neural networks on graphs with fast localized spectral filtering.

LapDDPM: A Conditional Graph Diffusion Model for scRNA-seq Generation with Spectral Adversarial Perturbations Convolutional neural networks on graphs with fast localized spectral filtering

Reference 11

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 4a3d69ac-4ece-454f-a473-d611ed1490b9 · outbound

This paper cites and Nichol, A.

LapDDPM: A Conditional Graph Diffusion Model for scRNA-seq Generation with Spectral Adversarial Perturbations and Nichol, A

Reference 12

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation a426bc44-b778-4092-a16f-ea5f8e994d4e · outbound

This paper cites NICE: Non-linear Independent Components Estimation.

LapDDPM: A Conditional Graph Diffusion Model for scRNA-seq Generation with Spectral Adversarial Perturbations NICE: Non-linear Independent Components Estimation

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:07:40.981280Z digest=sha256:8fc7f2dd1456496d8cb2b42d313ee519a3a9e880453602223a34110705e19592

Observation 16de8943-2487-47a4-b965-8ec287bf2ec6 · outbound

This paper cites Density estimation using real nvp.

LapDDPM: A Conditional Graph Diffusion Model for scRNA-seq Generation with Spectral Adversarial Perturbations Density estimation using real nvp

Reference 14

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-15T20:07:40.987013Z digest=sha256:d24d99879999eb88b1bc7a629077e07b7cb58fd6229ef8215444e5093f325325

Observation 7cabf4f2-11db-46b1-8886-23b435868b5d · outbound

This paper cites M., Mircea, M., Mueller, N.

LapDDPM: A Conditional Graph Diffusion Model for scRNA-seq Generation with Spectral Adversarial Perturbations M., Mircea, M., Mueller, N

Reference 15

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-15T20:07:40.992273Z digest=sha256:1437e44ead8bcfc23e86659e2c150cfa5daa1a0322bf0e7e009947b53cc31283

Observation 77dd904f-99eb-40f8-a1c1-27329b247642 · outbound

This paper cites Graph random neural networks for semi-supervised learning on graphs.

LapDDPM: A Conditional Graph Diffusion Model for scRNA-seq Generation with Spectral Adversarial Perturbations Graph random neural networks for semi-supervised learning on graphs

Reference 16

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation be6af8c4-a182-442e-844e-1b4ef509f5de · outbound

This paper cites I., Stegle, O., Theis, F.

LapDDPM: A Conditional Graph Diffusion Model for scRNA-seq Generation with Spectral Adversarial Perturbations I., Stegle, O., Theis, F

Reference 17

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 54289c96-221f-4e23-9dc4-a6ca6f6a6823 · outbound

This paper cites Spectral augmentations for graph contrastive learning.

LapDDPM: A Conditional Graph Diffusion Model for scRNA-seq Generation with Spectral Adversarial Perturbations Spectral augmentations for graph contrastive learning

Reference 18

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 3642e3aa-e237-4025-9377-0220de500b9a · outbound

This paper cites Generating synthetic single-cell rna-seq data using generative adversarial networks.

LapDDPM: A Conditional Graph Diffusion Model for scRNA-seq Generation with Spectral Adversarial Perturbations Generating synthetic single-cell rna-seq data using generative adversarial networks

Reference 19

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 4778a989-d269-4dff-9de6-e68c9e5d9242 · outbound

This paper cites Explaining and Harnessing Adversarial Examples.

LapDDPM: A Conditional Graph Diffusion Model for scRNA-seq Generation with Spectral Adversarial Perturbations Explaining and Harnessing Adversarial Examples

Reference 20

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Source-reported events for the cited work

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Observation ac36b275-2394-41a8-b515-6c4bcf5299c4 · outbound

This paper cites u gner, D., and G \.

LapDDPM: A Conditional Graph Diffusion Model for scRNA-seq Generation with Spectral Adversarial Perturbations u gner, D., and G \

Reference 21

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Source-reported events for the cited work

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Observation e4bdfb15-2447-430b-91c2-9fd69bed971f · outbound

This paper cites u gner, D., and G \.

LapDDPM: A Conditional Graph Diffusion Model for scRNA-seq Generation with Spectral Adversarial Perturbations u gner, D., and G \

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation ee552b17-dfd7-4a1f-87e5-563608e96f4b · outbound

This paper cites Denoising diffusion probabilistic models.

LapDDPM: A Conditional Graph Diffusion Model for scRNA-seq Generation with Spectral Adversarial Perturbations Denoising diffusion probabilistic models

Reference 23

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-15T20:07:41.034060Z digest=sha256:201e8704d7840503c940d418443fa2af8c5b02f1b71132c616ac8c761a1c87d7

Observation 4e579520-ee74-4ad2-b671-3c85f41b02d0 · outbound

This paper cites G., Vignac, C., and Welling, M.

LapDDPM: A Conditional Graph Diffusion Model for scRNA-seq Generation with Spectral Adversarial Perturbations G., Vignac, C., and Welling, M

Reference 24

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation b4616922-7373-49be-a6d0-25a2452077cb · outbound

This paper cites Y., Andrews, T.

LapDDPM: A Conditional Graph Diffusion Model for scRNA-seq Generation with Spectral Adversarial Perturbations Y., Andrews, T

Reference 25

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 1e4f766d-e942-4b62-9896-d77ecf703004 · outbound

This paper cites Robust Optimization as Data Augmentation for Large-scale Graphs.

LapDDPM: A Conditional Graph Diffusion Model for scRNA-seq Generation with Spectral Adversarial Perturbations Robust Optimization as Data Augmentation for Large-scale Graphs

Reference 26

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 0f0ba97b-09e7-48ea-bdce-d13003e86cf4 · outbound

This paper cites Diffwave: A diffusion probabilistic model for text-to-speech.

LapDDPM: A Conditional Graph Diffusion Model for scRNA-seq Generation with Spectral Adversarial Perturbations Diffwave: A diffusion probabilistic model for text-to-speech

Reference 27

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verified fuzzy
raw_fallback, observed 2026-08-15T20:07:41.614171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation ae2c5251-2acb-48df-8420-acf1e7f2cf9a · outbound

This paper cites Rna velocity of single cells.

LapDDPM: A Conditional Graph Diffusion Model for scRNA-seq Generation with Spectral Adversarial Perturbations Rna velocity of single cells

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:07:41.596613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-15T20:07:41.058802Z digest=sha256:ebb5079ccf89ed1777756a42b052e58be8f57d31649130b073fd495db5a68ee1

Observation 3501fe0c-fbef-4019-a27e-64bce63855ad · outbound

This paper cites Robust graph convolutional networks against adversarial attacks.

LapDDPM: A Conditional Graph Diffusion Model for scRNA-seq Generation with Spectral Adversarial Perturbations Robust graph convolutional networks against adversarial attacks

Reference 29

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verified fuzzy
raw_fallback, observed 2026-08-15T20:07:41.581355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-15T20:07:41.064879Z digest=sha256:fe9cae350397396fcc9af24029067745313ea7bdf2b0a84e45c3095cc907992e

Observation b5c5558a-9c03-4327-9e38-ab6fb0897af0 · outbound

This paper cites Adversarial neural networks for noise removal in single-cell rna-seq data.

LapDDPM: A Conditional Graph Diffusion Model for scRNA-seq Generation with Spectral Adversarial Perturbations Adversarial neural networks for noise removal in single-cell rna-seq data

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:07:41.566603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-15T20:07:41.069971Z digest=sha256:aa2a4806c0e48cdc0e2888171670f28a3c73496a26fece0203598a71d3b88240

Observation a1b86858-05c4-439d-b99c-78f85a8be935 · outbound

This paper cites Existence results for Schr\"odinger $p(x)$-Laplace equations involving critical growth in $\mathbb{R}^N$.

LapDDPM: A Conditional Graph Diffusion Model for scRNA-seq Generation with Spectral Adversarial Perturbations Existence results for Schr\"odinger $p(x)$-Laplace equations involving critical growth in $\mathbb{R}^N$

Reference 31

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local_arxiv, observed 2026-08-15T20:07:41.252077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-15T20:07:41.074289Z digest=sha256:b3e91c199a65df1b5995a38152dfc7c3071e98938ad1de44a46e43e464972a00

Observation c3d898ee-f96d-4347-9447-7163fbeac1b0 · outbound

This paper cites Learning Dynamics from Multicellular Graphs with Deep Neural Networks.

LapDDPM: A Conditional Graph Diffusion Model for scRNA-seq Generation with Spectral Adversarial Perturbations Learning Dynamics from Multicellular Graphs with Deep Neural Networks

Reference 32

Resolution
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local_arxiv, observed 2026-08-15T20:07:41.227924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-15T20:07:41.078853Z digest=sha256:4378d9facb792317c740e1a639a1c0f59e4e5e3f45d8f1ce76e911219be00be0

Observation bab4a99d-e318-493a-ba90-28f4d2e0abc5 · outbound

This paper cites o rnemann, J., Gribov, E., He, B., K \.

LapDDPM: A Conditional Graph Diffusion Model for scRNA-seq Generation with Spectral Adversarial Perturbations o rnemann, J., Gribov, E., He, B., K \

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:07:41.550926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation c0e0e1c2-4400-4745-b405-f4b4439ee45a · outbound

This paper cites Multi-Modal and Multi-Attribute Generation of Single Cells with CFGen.

LapDDPM: A Conditional Graph Diffusion Model for scRNA-seq Generation with Spectral Adversarial Perturbations Multi-Modal and Multi-Attribute Generation of Single Cells with CFGen

Reference 34

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:07:41.087648Z digest=sha256:c251a99981518c7fa0aac9cf7245892c08bdca698440548ea22198b0daab7e7e

Observation cd4778ab-01b3-4c9c-96ba-5573310749f1 · outbound

This paper cites Graph-based inference of cell differentiation trajectories from single-cell rna sequencing data.

LapDDPM: A Conditional Graph Diffusion Model for scRNA-seq Generation with Spectral Adversarial Perturbations Graph-based inference of cell differentiation trajectories from single-cell rna sequencing data

Reference 35

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation d231649d-3e99-43d6-a1d7-84c9c4c51c1e · outbound

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

LapDDPM: A Conditional Graph Diffusion Model for scRNA-seq Generation with Spectral Adversarial Perturbations High-resolution image synthesis with latent diffusion models

Reference 36

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no resolver link, observed 2026-08-15T20:07:41.096072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation cac8bd3f-95b8-415f-b210-4442973149dd · outbound

This paper cites J., Gorski, S., and Vogel, J.

LapDDPM: A Conditional Graph Diffusion Model for scRNA-seq Generation with Spectral Adversarial Perturbations J., Gorski, S., and Vogel, J

Reference 37

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation d8be7451-303c-4420-b02d-be3c4c78eebe · outbound

This paper cites C., Gillett, T.

LapDDPM: A Conditional Graph Diffusion Model for scRNA-seq Generation with Spectral Adversarial Perturbations C., Gillett, T

Reference 38

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 2b98c71b-8d3c-4db7-9d9b-84f09355a5e1 · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics.

LapDDPM: A Conditional Graph Diffusion Model for scRNA-seq Generation with Spectral Adversarial Perturbations Deep unsupervised learning using nonequilibrium thermodynamics

Reference 39

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation fbe5f12f-eb5d-4376-9ab4-b5c65add444e · outbound

This paper cites and Ermon, S.

LapDDPM: A Conditional Graph Diffusion Model for scRNA-seq Generation with Spectral Adversarial Perturbations and Ermon, S

Reference 40

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 51973e25-f30b-4fa5-a287-e3a2d4215d54 · outbound

This paper cites A., Vassar, G., Luo, Y., Gao, S., Eaton, M.

LapDDPM: A Conditional Graph Diffusion Model for scRNA-seq Generation with Spectral Adversarial Perturbations A., Vassar, G., Luo, Y., Gao, S., Eaton, M

Reference 41

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-15T20:07:41.118826Z digest=sha256:9e14b25c55fbb23eaf31ef11c3748d5703b1b0a4d280f4937fa51ba7965612c8

Observation d39240d4-91b2-4489-acc9-d3633866db3f · outbound

This paper cites Grand++: Graph neural diffusion with a source term.

LapDDPM: A Conditional Graph Diffusion Model for scRNA-seq Generation with Spectral Adversarial Perturbations Grand++: Graph neural diffusion with a source term

Reference 42

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 5be38dc6-3a37-45c4-8160-31d3702e9315 · outbound

This paper cites Graph neural networks for cell type annotation from single-cell rna sequencing data.

LapDDPM: A Conditional Graph Diffusion Model for scRNA-seq Generation with Spectral Adversarial Perturbations Graph neural networks for cell type annotation from single-cell rna sequencing data

Reference 43

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation cc138464-7450-436c-ad96-52190455bbe4 · outbound

This paper cites P., Wooldridge, M.

LapDDPM: A Conditional Graph Diffusion Model for scRNA-seq Generation with Spectral Adversarial Perturbations P., Wooldridge, M

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:07:41.393776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-15T20:07:41.132641Z digest=sha256:3963e744e2fa1496edd220d453a643345538cdd73f295b1a0a9445874686e312

Observation 39a44958-daee-4659-a939-168026535dd0 · outbound

This paper cites Graph neural networks for single-cell rna sequencing data analysis.

LapDDPM: A Conditional Graph Diffusion Model for scRNA-seq Generation with Spectral Adversarial Perturbations Graph neural networks for single-cell rna sequencing data analysis

Reference 45

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-15T20:07:41.137845Z digest=sha256:0c4c3e92faf228d3ef34664ed0da905c8301a7616732cf56c0e64cb97c944f20

Observation ed55d905-e653-403b-9861-4c39d55f2c32 · outbound

This paper cites Graph convolutional neural network for spatial transcriptomics analysis.

LapDDPM: A Conditional Graph Diffusion Model for scRNA-seq Generation with Spectral Adversarial Perturbations Graph convolutional neural network for spatial transcriptomics analysis

Reference 46

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-15T20:07:41.143266Z digest=sha256:ec61dfab71b5b853cf06281c4b7cae19ac23ad95addff64ea4b008848f3370e9

Observation ce476454-5b20-4df7-87ac-3eda76a9d2ec · outbound

This paper cites Propagation is all you need: A new framework for representation learning and classifier training on graphs.

LapDDPM: A Conditional Graph Diffusion Model for scRNA-seq Generation with Spectral Adversarial Perturbations Propagation is all you need: A new framework for representation learning and classifier training on graphs

Reference 47

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-15T20:07:41.147968Z digest=sha256:3761d691977beaf1e3443deb9ce6573566d58d8ae45b44a6aaa0d865bcb7c04e

Observation a89b6d84-82c7-48b8-abbb-6ef53bd9f015 · outbound

This paper cites u gner, D., Akbarnejad, A., and G \.

LapDDPM: A Conditional Graph Diffusion Model for scRNA-seq Generation with Spectral Adversarial Perturbations u gner, D., Akbarnejad, A., and G \

Reference 48

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-15T20:07:41.152966Z digest=sha256:fab354f406fd5c86f9303974ddb0ee21b0481bf21cfad862f3c6ce45bdbf8061

Observation 1d237cba-c31a-407c-96da-07bee9f32066 · outbound

This paper cites write newline.

LapDDPM: A Conditional Graph Diffusion Model for scRNA-seq Generation with Spectral Adversarial Perturbations write newline

Reference 49

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unresolved
no resolver link, observed 2026-08-15T20:07:41.157729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers

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