Paper Citation Record · LEDGER

Heterogeneous Image GNN: Graph-Conditioned Diffusion for Image Synthesis

As of 10 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2502.01309.

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

pith.paper-citation-record.v1
2502.01309 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T15:47:24.599173Z

measured 41 of 41 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 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

41 of 41 outbound references displayed

verified exact1
verified fuzzy0
unresolved37
parse uncertain0
malformed identifier1
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 22eced63-902a-43e0-95d0-945fe5cb9b1c · outbound

This paper cites Semantic Image Manipulation Using Scene Graphs.

Heterogeneous Image GNN: Graph-Conditioned Diffusion for Image Synthesis Semantic Image Manipulation Using Scene Graphs

Reference 3

Resolution: metadata mismatch; local_arxiv, observed 2026-08-09T15:47:25.391983Z

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.

Observation 560a0379-0694-48d6-8893-c4f3a0da8daf · outbound

This paper cites Neural Message Passing for Quantum Chemistry.

Heterogeneous Image GNN: Graph-Conditioned Diffusion for Image Synthesis Neural Message Passing for Quantum Chemistry

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-09T15:47:24.443535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f26c1205-7124-44da-964e-45d62d20b8f9 · outbound

This paper cites GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium.

Heterogeneous Image GNN: Graph-Conditioned Diffusion for Image Synthesis GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-09T15:47:24.457631Z

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Observation 30bebb53-08ad-465a-94f4-5e6fbbc04e08 · outbound

This paper cites Denoising Diffusion Probabilistic Models.

Heterogeneous Image GNN: Graph-Conditioned Diffusion for Image Synthesis Denoising Diffusion Probabilistic Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-09T15:47:24.462236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83441cc9-af45-4508-a726-b8d7a4087dfe · outbound

This paper cites Image Generation from Scene Graphs.

Heterogeneous Image GNN: Graph-Conditioned Diffusion for Image Synthesis Image Generation from Scene Graphs

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-09T15:47:24.466861Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation efebb42a-91ed-4184-9558-6d1afa1a7d75 · outbound

This paper cites Elucidating the Design Space of Diffusion-Based Generative Models.

Heterogeneous Image GNN: Graph-Conditioned Diffusion for Image Synthesis Elucidating the Design Space of Diffusion-Based Generative Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-09T15:47:24.471277Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f51bdf70-8609-4c18-8c82-5e6a1c82be73 · outbound

This paper cites Semi-Supervised Classification with Graph Convolutional Networks.

Heterogeneous Image GNN: Graph-Conditioned Diffusion for Image Synthesis Semi-Supervised Classification with Graph Convolutional Networks

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-09T15:47:24.475670Z

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Unavailable: canonical work link unavailable.

Observation bb5e4478-1170-4285-849a-e7daa5373a5e · outbound

This paper cites an unresolved cited work.

Heterogeneous Image GNN: Graph-Conditioned Diffusion for Image Synthesis Unresolved cited work

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-09T15:47:24.480588Z

Source-reported events for the cited work

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Observation a3ba6149-3da4-416d-af1a-be8340bc7402 · outbound

This paper cites GraphCast: Learning skillful medium-range global weather forecasting.

Heterogeneous Image GNN: Graph-Conditioned Diffusion for Image Synthesis GraphCast: Learning skillful medium-range global weather forecasting

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-09T15:47:24.484996Z

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Observation 34f03332-bb3c-460d-933c-a0f7aca9df82 · outbound

This paper cites ControlNet++: Improving Conditional Controls with Efficient Consistency Feedback.

Heterogeneous Image GNN: Graph-Conditioned Diffusion for Image Synthesis ControlNet++: Improving Conditional Controls with Efficient Consistency Feedback

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-09T15:47:24.489846Z

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Observation 2eedfdf7-d3d6-4a5f-8882-f65ee758301e · outbound

This paper cites doi: 10.1109/TGRS.

Heterogeneous Image GNN: Graph-Conditioned Diffusion for Image Synthesis doi: 10.1109/TGRS

Reference 18

Resolution: malformed identifier; no resolver link, observed 2026-08-09T15:47:24.494518Z

Source-reported events for the cited work

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Observation c01d5fd2-6641-42f0-8771-d6edd3009e04 · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

Heterogeneous Image GNN: Graph-Conditioned Diffusion for Image Synthesis DINOv2: Learning Robust Visual Features without Supervision

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-09T15:47:24.504370Z

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Observation 38c52e89-80ba-4a0e-8018-e83e7ba91e06 · outbound

This paper cites Scalable Diffusion Models with Transformers.

Heterogeneous Image GNN: Graph-Conditioned Diffusion for Image Synthesis Scalable Diffusion Models with Transformers

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-09T15:47:24.508950Z

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Observation 44fc6feb-1a37-41bd-bef3-4edce93e0166 · outbound

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

Heterogeneous Image GNN: Graph-Conditioned Diffusion for Image Synthesis SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-09T15:47:24.513655Z

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Unavailable: canonical work link unavailable.

Observation 46ee7c33-52f4-46b6-8993-9882b8ac1431 · outbound

This paper cites Learning Transferable Visual Models From Natural Language Supervision.

Heterogeneous Image GNN: Graph-Conditioned Diffusion for Image Synthesis Learning Transferable Visual Models From Natural Language Supervision

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-09T15:47:24.518190Z

Source-reported events for the cited work

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Observation 630f90b6-351d-479b-823c-620b7fef4711 · outbound

This paper cites Hierarchical Text-Conditional Image Generation with CLIP Latents.

Heterogeneous Image GNN: Graph-Conditioned Diffusion for Image Synthesis Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-09T15:47:24.522688Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f59e94e4-4da5-433b-8041-a5924d9dfcf0 · outbound

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

Heterogeneous Image GNN: Graph-Conditioned Diffusion for Image Synthesis High-Resolution Image Synthesis with Latent Diffusion Models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-09T15:47:24.527144Z

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Observation e86b8ef8-52e7-4110-a999-11afae7b7d4d · outbound

This paper cites Image Super-Resolution via Iterative Refinement.

Heterogeneous Image GNN: Graph-Conditioned Diffusion for Image Synthesis Image Super-Resolution via Iterative Refinement

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-09T15:47:24.536582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac598a99-d6bd-4a4a-8301-b1dfcce3ef4a · outbound

This paper cites Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding.

Heterogeneous Image GNN: Graph-Conditioned Diffusion for Image Synthesis Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-09T15:47:24.540926Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f733e20-281c-46c2-98bd-2cd33da9798e · outbound

This paper cites Deep Unsupervised Learning using Nonequilibrium Thermodynamics.

Heterogeneous Image GNN: Graph-Conditioned Diffusion for Image Synthesis Deep Unsupervised Learning using Nonequilibrium Thermodynamics

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-09T15:47:24.545543Z

Source-reported events for the cited work

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Observation 6d5508ec-5489-4dfd-bc0c-bab067690c65 · outbound

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

Heterogeneous Image GNN: Graph-Conditioned Diffusion for Image Synthesis Score-Based Generative Modeling through Stochastic Differential Equations

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-09T15:47:24.549982Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48558b55-7ae7-4217-97a7-5961605c90aa · outbound

This paper cites Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models.

Heterogeneous Image GNN: Graph-Conditioned Diffusion for Image Synthesis Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-09T15:47:24.554406Z

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Unavailable: canonical work link unavailable.

Observation 4cc69bde-6808-4de3-b5f0-a5beadba88cd · outbound

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Heterogeneous Image GNN: Graph-Conditioned Diffusion for Image Synthesis Unresolved cited work

Reference 32

Resolution: unresolved; raw_fallback, observed 2026-08-09T15:47:25.447361Z

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.

Observation bcc5e6c1-ade6-4510-8d3f-44e63be6d923 · outbound

This paper cites an unresolved cited work.

Heterogeneous Image GNN: Graph-Conditioned Diffusion for Image Synthesis Unresolved cited work

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-09T15:47:24.562874Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b07d51e8-6c33-434d-99de-57de1abb5ff2 · outbound

This paper cites Graph Attention Networks.

Heterogeneous Image GNN: Graph-Conditioned Diffusion for Image Synthesis Graph Attention Networks

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-09T15:47:24.567447Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation efac15c0-c677-4a98-ba0e-ba60e710901f · outbound

This paper cites Multi-scale Dynamic Graph Convolutional Network for Hyperspectral Image Classification.

Heterogeneous Image GNN: Graph-Conditioned Diffusion for Image Synthesis Multi-scale Dynamic Graph Convolutional Network for Hyperspectral Image Classification

Reference 35

Resolution: verified exact; local_arxiv, observed 2026-08-09T15:47:24.709656Z

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.

Observation 3c6ad85b-a4f9-441e-858c-8ff7c0be8a42 · outbound

This paper cites Scene Graph Generation by Iterative Message Passing.

Heterogeneous Image GNN: Graph-Conditioned Diffusion for Image Synthesis Scene Graph Generation by Iterative Message Passing

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-09T15:47:24.576428Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eeab58bf-57ab-491a-84c9-5b9c5994f7c1 · outbound

This paper cites Graph R-CNN for Scene Graph Generation.

Heterogeneous Image GNN: Graph-Conditioned Diffusion for Image Synthesis Graph R-CNN for Scene Graph Generation

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-09T15:47:24.580910Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01c55a19-e459-4376-8f88-9be835cb5865 · outbound

This paper cites Diffusion-Based Scene Graph to Image Generation with Masked Contrastive Pre-Training.

Heterogeneous Image GNN: Graph-Conditioned Diffusion for Image Synthesis Diffusion-Based Scene Graph to Image Generation with Masked Contrastive Pre-Training

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-09T15:47:24.585440Z

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Unavailable: canonical work link unavailable.

Observation 17c13642-6253-4fe8-9173-5d42aaf34234 · outbound

This paper cites Adding Conditional Control to Text-to-Image Diffusion Models.

Heterogeneous Image GNN: Graph-Conditioned Diffusion for Image Synthesis Adding Conditional Control to Text-to-Image Diffusion Models

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-09T15:47:24.589817Z

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Unavailable: canonical work link unavailable.

Observation 59ee54c2-4436-41cd-ae7a-804f9e55db46 · outbound

This paper cites LayoutDiffusion: Controllable Diffusion Model for Layout-to-image Generation.

Heterogeneous Image GNN: Graph-Conditioned Diffusion for Image Synthesis LayoutDiffusion: Controllable Diffusion Model for Layout-to-image Generation

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-09T15:47:24.594501Z

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Observation 3ba3efb9-1445-4a84-9c18-2b220c621ed7 · outbound

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Heterogeneous Image GNN: Graph-Conditioned Diffusion for Image Synthesis Unresolved cited work

Reference 41

Resolution: unresolved; raw_fallback, observed 2026-08-09T15:47:25.434284Z

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.

Observation 97207781-4a1e-497e-a6c8-064b08c09883 · outbound

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

Heterogeneous Image GNN: Graph-Conditioned Diffusion for Image Synthesis U-Net: Convolutional Networks for Biomedical Image Segmentation

Reference 2015

Resolution: unresolved; no resolver link, observed 2026-08-09T15:47:24.531956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57b198a4-889d-415f-a8a8-290a337c8a52 · outbound

This paper cites Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering.

Heterogeneous Image GNN: Graph-Conditioned Diffusion for Image Synthesis Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-09T15:47:24.419166Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d84334b-aaa9-4c20-9f84-b74dd6fcfeb0 · outbound

This paper cites Inductive Representation Learning on Large Graphs.

Heterogeneous Image GNN: Graph-Conditioned Diffusion for Image Synthesis Inductive Representation Learning on Large Graphs

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-09T15:47:24.447976Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fbaac51b-60cf-4156-9b34-85de90b6286f · outbound

This paper cites Interactive Image Generation Using Scene Graphs.

Heterogeneous Image GNN: Graph-Conditioned Diffusion for Image Synthesis Interactive Image Generation Using Scene Graphs

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-09T15:47:24.499458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86a9f72a-e81c-4b98-ad4a-f1168ee38936 · outbound

This paper cites YOLOv4: Optimal Speed and Accuracy of Object Detection.

Heterogeneous Image GNN: Graph-Conditioned Diffusion for Image Synthesis YOLOv4: Optimal Speed and Accuracy of Object Detection

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-09T15:47:24.413065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a964b145-7bd2-4271-838c-8ecb290fb1a3 · outbound

This paper cites Diffusion Models Beat GANs on Image Synthesis.

Heterogeneous Image GNN: Graph-Conditioned Diffusion for Image Synthesis Diffusion Models Beat GANs on Image Synthesis

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-09T15:47:24.429027Z

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Unavailable: canonical work link unavailable.

Observation 966c8029-b7c5-45c3-ba86-946bff3d2180 · outbound

This paper cites Vision GNN: An Image is Worth Graph of Nodes.

Heterogeneous Image GNN: Graph-Conditioned Diffusion for Image Synthesis Vision GNN: An Image is Worth Graph of Nodes

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-09T15:47:24.453065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0644dda7-9eb0-4609-8393-36f2a9856e45 · outbound

This paper cites SceneGenie: Scene Graph Guided Diffusion Models for Image Synthesis.

Heterogeneous Image GNN: Graph-Conditioned Diffusion for Image Synthesis SceneGenie: Scene Graph Guided Diffusion Models for Image Synthesis

Reference 2023

Resolution: metadata mismatch; local_arxiv, observed 2026-08-09T15:47:25.343384Z

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.

Observation b45cc8d8-2633-4ab6-97f6-68360cc912e4 · outbound

This paper cites Risks and Opportunities of Open-Source Generative AI.

Heterogeneous Image GNN: Graph-Conditioned Diffusion for Image Synthesis Risks and Opportunities of Open-Source Generative AI

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-09T15:47:24.433952Z

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Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.