Paper Citation Record · LEDGER

Fractal Generative Models

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 20 inbound Pith citation observations for arXiv:2502.17437.

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

pith.paper-citation-record.v1
2502.17437 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

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

measured 20 of 20 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:21:06.843442Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T19:35:00.986893Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
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External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation ed1399ca-85ec-4767-8392-ae931f2cc1f7 · inbound

FRN: Fractal-Based Recursive Spectral Reconstruction Network cites this paper.

FRN: Fractal-Based Recursive Spectral Reconstruction Network Fractal Generative Models

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T15:21:06.843442Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5dca63b-f4f1-41e2-9203-61c14f426884 · inbound

STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis cites this paper.

STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis Fractal Generative Models

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T06:02:59.639189Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6560f82-c9d6-49cc-9000-b6fae352510d · inbound

Ctrl-Z Sampling: Scaling Diffusion Sampling with Controlled Random Zigzag Explorations cites this paper.

Ctrl-Z Sampling: Scaling Diffusion Sampling with Controlled Random Zigzag Explorations Fractal Generative Models

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-06T22:59:13.872203Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e721986-4f87-406b-ae79-b323ac106e91 · inbound

PixNerd: Pixel Neural Field Diffusion cites this paper.

PixNerd: Pixel Neural Field Diffusion Fractal Generative Models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T10:59:53.628822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2968b32b-715f-4bad-a7d8-e6f324955fcc · inbound

Fractal Flow: Hierarchical and Interpretable Normalizing Flow via Topic Modeling and Recursive Strategy cites this paper.

Fractal Flow: Hierarchical and Interpretable Normalizing Flow via Topic Modeling and Recursive Strategy Fractal Generative Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-05T15:35:26.901402Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ea44e1be-a09c-4c4a-9bf9-62b25ce3eb57 · inbound

Rethinking Generative Image Pretraining: How Far Are We From Scaling Up Next-Pixel Prediction? cites this paper.

Rethinking Generative Image Pretraining: How Far Are We From Scaling Up Next-Pixel Prediction? Fractal Generative Models

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-21T18:20:29.115677Z

Source-reported events for the cited work

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

Observation 19165478-1647-40ab-a0f3-3c1a048b8078 · inbound

Back to Basics: Let Denoising Generative Models Denoise cites this paper.

Back to Basics: Let Denoising Generative Models Denoise Fractal Generative Models

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-11T22:16:28.128804Z

Source-reported events for the cited work

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

Observation f590a5ef-8062-4645-aaa5-40180b0edc90 · inbound

DeCo: Frequency-Decoupled Pixel Diffusion for End-to-End Image Generation cites this paper.

DeCo: Frequency-Decoupled Pixel Diffusion for End-to-End Image Generation Fractal Generative Models

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-17T05:49:08.196070Z

Source-reported events for the cited work

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

Observation cd42a00a-b4c9-45bc-a160-ed57303f1170 · inbound

PixelDiT: Pixel Diffusion Transformers for Image Generation cites this paper.

PixelDiT: Pixel Diffusion Transformers for Image Generation Fractal Generative Models

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-17T04:31:31.208898Z

Source-reported events for the cited work

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

Observation 04197972-439d-4267-88b1-0e476431617b · inbound

Revisiting Autoregressive Models for Generative Image Classification cites this paper.

Revisiting Autoregressive Models for Generative Image Classification Fractal Generative Models

Reference 36

Resolution: unresolved; no resolver link, observed 2026-07-13T22:10:29.821610Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd91d7e3-0991-4930-8898-a9cc1e728655 · inbound

Coevolving Representations in Joint Image-Feature Diffusion cites this paper.

Coevolving Representations in Joint Image-Feature Diffusion Fractal Generative Models

Reference 26

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T06:31:30.414051Z

Source-reported events for the cited work

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

Observation 3e15fce7-7f75-4817-a3ad-6fb7ad01c3b8 · inbound

Normalizing Flows with Iterative Denoising cites this paper.

Normalizing Flows with Iterative Denoising Fractal Generative Models

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-11T13:11:18.365794Z

Source-reported events for the cited work

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

Observation 403be699-9c56-40fe-944e-1970f041fb91 · inbound

HyperDiT: Hyper-Connected Transformers for High-Fidelity Pixel-Space Diffusion cites this paper.

HyperDiT: Hyper-Connected Transformers for High-Fidelity Pixel-Space Diffusion Fractal Generative Models

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-20T19:08:53.993292Z

Source-reported events for the cited work

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

Observation 77ef0d04-8be4-449c-b8c3-0b191b2a3db9 · inbound

HyperDiT: Hyper-Connected Transformers for High-Fidelity Pixel-Space Diffusion cites this paper.

HyperDiT: Hyper-Connected Transformers for High-Fidelity Pixel-Space Diffusion Fractal Generative Models

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-06-30T19:35:00.988690Z

Source-reported events for the cited work

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

Observation d8de3b59-3a37-447a-8f7f-eadd026e4452 · inbound

FrequencyBooster: Full-Frequency Modeling for High-Fidelity Pixel Diffusion cites this paper.

FrequencyBooster: Full-Frequency Modeling for High-Fidelity Pixel Diffusion Fractal Generative Models

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-20T12:48:17.667411Z

Source-reported events for the cited work

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

Observation 37b7a241-e45b-4b9e-a94c-1196180c3b9e · inbound

PixelU: A U-Shaped Transformer for Efficient End-to-End Pixel Diffusion cites this paper.

PixelU: A U-Shaped Transformer for Efficient End-to-End Pixel Diffusion Fractal Generative Models

Reference 23

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T20:03:57.182806Z

Source-reported events for the cited work

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

Observation 8215ed3b-f68c-4847-82c4-f3e1ccb927ae · inbound

Parallel Rollout Approximation for Pixel-Space Autoregressive Image Generation cites this paper.

Parallel Rollout Approximation for Pixel-Space Autoregressive Image Generation Fractal Generative Models

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-06-29T19:03:52.190127Z

Source-reported events for the cited work

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

Observation 3cdcba4e-bf3c-44e1-a1df-469c56f5693a · inbound

Signal or Noise? Understanding Generative Models for Real-World Sensor Time Series cites this paper.

Signal or Noise? Understanding Generative Models for Real-World Sensor Time Series Fractal Generative Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-07-11T20:41:10.528667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c23bb82c-35db-4744-a613-770ec870a80c · inbound

DuSPiT: Dual-Branch Sub-Patch Pixel Diffusion Transformer cites this paper.

DuSPiT: Dual-Branch Sub-Patch Pixel Diffusion Transformer Fractal Generative Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T15:16:51.325442Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dbdcaa56-72d8-4707-967e-f03f83fa6473 · inbound

A Frozen Pixel-Space Diffusion Model Can Guide Itself with Its Own Samples cites this paper.

A Frozen Pixel-Space Diffusion Model Can Guide Itself with Its Own Samples Fractal Generative Models

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-03T13:23:48.670188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.