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Paper Citation Record · LEDGER

Fractal Generative Models

As of 9 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 2026-08-09T06:31:02.800959+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

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0 of 0 outbound references displayed

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External citation measurements

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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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:21:06.843442Z digest=sha256:32578e96778f094d715c7d11901391c8f4463335df8a6214502a29c6c53da2e7

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T06:02:59.639189Z digest=sha256:6628ba8f9e807754762085f030ab0fdbdc230376c2f80322eb3595119b8b7ae5

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:59:13.872203Z digest=sha256:6296b72f8208b2e3dc75bb91564088dc4001645133d718126d2a93b92ea96cb7

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:59:53.628822Z digest=sha256:890b8d7c56d755a198a542c663c65017d42d4223611611c19d10366e52474751

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T15:35:26.901402Z digest=sha256:35523d1c06ebb32c0e3e5fc5a3661e01155f9ffcb287722e446b17747ce41496

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

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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 2026-08-09T06:31:02.800959+00:00.

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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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-11T22:16:26.996599Z digest=sha256:4450490c6d0557a7f14f77c90b5abe06714dd2606806c0715093d72766900d7c

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-17T05:47:24.669763Z digest=sha256:bc7f07845b6d224011f7c953b46de27d61fac0be837ae32ec87d8551c394ae6e

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-17T04:30:07.417197Z digest=sha256:fc6f23c3e97242f47fb617f5d8a1dfaa3f5b8ed9dcc93edc8562ee7825f71c50

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T22:10:29.821610Z digest=sha256:ea9e0f2cd174cedf5aa116d5433c82d509a3c987ee067267612d0678754c7733

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T06:30:52.371482Z digest=sha256:f22940b934100fa2f5727d58abb69b8f521228adb8558a686f65d3fb2a732ee1

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T02:11:31.246200Z digest=sha256:cdf6b2fb9272a54bdd0a1c67e94b456ff8d34d859dc4559691906f927723c9b2

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-20T19:08:26.689023Z digest=sha256:071071eaf2c80fbf175974c8e5bc16876fddcd103f1d9a1bdd7be35b795f4bd5

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-30T19:33:53.876614Z digest=sha256:9b30159855ef7f66b1abe35546cc6e9c49e4bcc0160429cc25f2599e33cc784c

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-20T12:43:58.746650Z digest=sha256:5a94da11a19bdb68262eafd3abc815053e5410d4f6f98b073e623b5d916d7f96

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-29T04:31:57.169935Z digest=sha256:d81c88dbf475b3788604a218da9d23cc215829156cfab1a9207ddc0a1595094e

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-29T04:58:23.066578Z digest=sha256:98ed0640966d803d5799236ed4eb5b73c39d896850f093eeb14c3024050554e4

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T20:41:10.528667Z digest=sha256:fbd8a8cfe287478df86c223b6c7345baa8c78d118590bdd6bd5177dfe6d0499d

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T15:16:51.325442Z digest=sha256:61885e32c0b1f7b6283b2256c86d52d389f7cedb2eafd862329522f0f6a16907

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T13:23:48.670188Z digest=sha256:f2e8f28b5c911d9b40fd9088a518e5977675a3053aaa86a6dedd32dc8aba43f7