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Paper Citation Record · LEDGER

ASGDiffusion: Parallel High-Resolution Generation with Asynchronous Structure Guidance

As of 12 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 1 inbound Pith citation observation for arXiv:2412.06163.

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

pith.paper-citation-record.v1
2412.06163 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T20:00:12.268711Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T08:13:42.138653Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

29 of 29 outbound references displayed

  • verified exact0
  • verified fuzzy11
  • unresolved16
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation faaef93f-b9cc-4515-bc24-f95f1a01a9b3 · outbound

This paper cites Multidiffusion: Fusing diffusion paths for controlled image generation.

ASGDiffusion: Parallel High-Resolution Generation with Asynchronous Structure Guidance Multidiffusion: Fusing diffusion paths for controlled image generation

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation d4d1d6bf-b749-4a53-814e-4b020ba632ef · outbound

This paper cites Image super-resolution using deep convolutional net- works.

ASGDiffusion: Parallel High-Resolution Generation with Asynchronous Structure Guidance Image super-resolution using deep convolutional net- works

Reference 2

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Observation a938747d-b851-4a4e-9f33-9a1049db3280 · outbound

This paper cites Demofusion: Democratising high- resolution image generation with no $$$.

ASGDiffusion: Parallel High-Resolution Generation with Asynchronous Structure Guidance Demofusion: Democratising high- resolution image generation with no $$$

Reference 3

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 0943c366-1994-4b76-86d3-3fa4af4251ea · outbound

This paper cites Generalized boundary conditions in closed cosmologies.

ASGDiffusion: Parallel High-Resolution Generation with Asynchronous Structure Guidance Generalized boundary conditions in closed cosmologies

Reference 4

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local_arxiv, observed 2026-08-11T20:00:12.534384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation d9933269-c566-416b-a0d0-8f04cc3e6d93 · outbound

This paper cites ScaleCrafter: Tuning-free Higher-Resolution Visual Generation with Diffusion Models.

ASGDiffusion: Parallel High-Resolution Generation with Asynchronous Structure Guidance ScaleCrafter: Tuning-free Higher-Resolution Visual Generation with Diffusion Models

Reference 5

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Observation df48b638-ad52-4866-a5e2-27a6922d57a4 · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilib- rium.

ASGDiffusion: Parallel High-Resolution Generation with Asynchronous Structure Guidance Gans trained by a two time-scale update rule converge to a local nash equilib- rium

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation eef05bd8-5e48-473c-86ce-30bfd5a5d835 · outbound

This paper cites Classifier-Free Diffusion Guidance.

ASGDiffusion: Parallel High-Resolution Generation with Asynchronous Structure Guidance Classifier-Free Diffusion Guidance

Reference 7

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Observation 14aa1e10-5a17-4442-8d8e-3cb340929bb6 · outbound

This paper cites Denoising dif- fusion probabilistic models.

ASGDiffusion: Parallel High-Resolution Generation with Asynchronous Structure Guidance Denoising dif- fusion probabilistic models

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation f9644a77-b133-43c1-92ac-4602a72dc08e · outbound

This paper cites Denoising dif- fusion probabilistic models.

ASGDiffusion: Parallel High-Resolution Generation with Asynchronous Structure Guidance Denoising dif- fusion probabilistic models

Reference 9

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Observation 029bbc01-1ec6-4a39-ba88-9dabdb9cb808 · outbound

This paper cites Cascaded diffu- sion models for high fidelity image generation.

ASGDiffusion: Parallel High-Resolution Generation with Asynchronous Structure Guidance Cascaded diffu- sion models for high fidelity image generation

Reference 10

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Observation 3c6870a2-6124-4486-b9d3-6c9243c7c149 · outbound

This paper cites Upsample Guidance: Scale Up Diffusion Models without Training.

ASGDiffusion: Parallel High-Resolution Generation with Asynchronous Structure Guidance Upsample Guidance: Scale Up Diffusion Models without Training

Reference 11

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Observation 081e7e60-0d49-47be-acc7-3b64e05925c6 · outbound

This paper cites Accurate image super-resolution using very deep convolutional net- works.

ASGDiffusion: Parallel High-Resolution Generation with Asynchronous Structure Guidance Accurate image super-resolution using very deep convolutional net- works

Reference 12

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verified fuzzy
raw_fallback, observed 2026-08-11T20:00:12.729050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 19dd8b4f-dd2a-40c1-a0ba-c2b6f085c531 · outbound

This paper cites DiffuseHigh: Training-free Progressive High-Resolution Image Synthesis through Structure Guidance.

ASGDiffusion: Parallel High-Resolution Generation with Asynchronous Structure Guidance DiffuseHigh: Training-free Progressive High-Resolution Image Synthesis through Structure Guidance

Reference 13

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 98762a62-d5c5-4e98-bd2d-7fa48f30933c · outbound

This paper cites Photo- realistic single image super-resolution using a generative ad- versarial network.

ASGDiffusion: Parallel High-Resolution Generation with Asynchronous Structure Guidance Photo- realistic single image super-resolution using a generative ad- versarial network

Reference 14

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Observation b2ec30df-aa2f-45da-be92-5a475db36aaf · outbound

This paper cites Enhanced deep residual networks for single image super-resolution.

ASGDiffusion: Parallel High-Resolution Generation with Asynchronous Structure Guidance Enhanced deep residual networks for single image super-resolution

Reference 15

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Unavailable: canonical work link unavailable.

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Observation c087610a-236d-4965-9eef-743e7a575d6a · outbound

This paper cites AST-T5: Structure-Aware Pretraining for Code Generation and Understanding.

ASGDiffusion: Parallel High-Resolution Generation with Asynchronous Structure Guidance AST-T5: Structure-Aware Pretraining for Code Generation and Understanding

Reference 16

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Unavailable: canonical work link unavailable.

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Observation 1b3d5e18-8fb4-4938-b17f-39ad6fadde1e · outbound

This paper cites Mostaque.

ASGDiffusion: Parallel High-Resolution Generation with Asynchronous Structure Guidance Mostaque

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 2026-08-12T06:34:41.77262+00:00.

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Observation 7c17d80b-52cd-4e95-968d-c56f13deb02f · outbound

This paper cites Benchmark for image synthesis in medical imag- ing.

ASGDiffusion: Parallel High-Resolution Generation with Asynchronous Structure Guidance Benchmark for image synthesis in medical imag- ing

Reference 18

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raw_fallback, observed 2026-08-11T20:00:12.663527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation ec44315f-d5bf-4cbc-9a6c-f44f07ae9390 · outbound

This paper cites PTMTorrent: A Dataset for Mining Open-source Pre-trained Model Packages.

ASGDiffusion: Parallel High-Resolution Generation with Asynchronous Structure Guidance PTMTorrent: A Dataset for Mining Open-source Pre-trained Model Packages

Reference 19

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metadata mismatch
local_arxiv, observed 2026-08-11T20:00:12.407804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 483f7446-6a1d-472d-9e9d-5ec6d0c9c527 · outbound

This paper cites Learning transferable visual models from natural language supervi- sion.

ASGDiffusion: Parallel High-Resolution Generation with Asynchronous Structure Guidance Learning transferable visual models from natural language supervi- sion

Reference 20

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Observation 87c3ccfb-061d-47c4-b409-7388608f984c · outbound

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

ASGDiffusion: Parallel High-Resolution Generation with Asynchronous Structure Guidance High-resolution image synthesis with latent diffusion models

Reference 21

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Observation bafd84f2-9004-42ca-9519-8ef69d0bdd94 · outbound

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

ASGDiffusion: Parallel High-Resolution Generation with Asynchronous Structure Guidance U-net: Convolutional networks for biomedical image segmentation

Reference 22

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verified fuzzy
raw_fallback, observed 2026-08-11T20:00:12.615873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 6defd140-9d92-46ee-b5c9-c90153eded34 · outbound

This paper cites Improved techniques for training gans.

ASGDiffusion: Parallel High-Resolution Generation with Asynchronous Structure Guidance Improved techniques for training gans

Reference 23

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verified fuzzy
raw_fallback, observed 2026-08-11T20:00:12.596104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 4fed5931-a3ba-469d-b7a3-0cc7f2120537 · outbound

This paper cites LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs.

ASGDiffusion: Parallel High-Resolution Generation with Asynchronous Structure Guidance LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs

Reference 24

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source=pdf_text observed=2026-08-11T20:00:12.240367Z digest=sha256:cca4897cd43addc1ef7dba889ba24df20b04ef3663acb174eadf9fcad5059e89

Observation 2252c887-b309-4d95-9a77-c33d8cf652e0 · outbound

This paper cites Real-time single image and video super-resolution using an efficient sub-pixel convolutional neural network.

ASGDiffusion: Parallel High-Resolution Generation with Asynchronous Structure Guidance Real-time single image and video super-resolution using an efficient sub-pixel convolutional neural network

Reference 25

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verified fuzzy
raw_fallback, observed 2026-08-11T20:00:12.574116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T20:00:12.246101Z digest=sha256:cf13127c9e5b32825f7a2f1b709af38269e0aa0344c67780040e41f6ecac4f6f

Observation 0c63cd5f-2566-4fc2-a23b-fe5cdc91a511 · outbound

This paper cites Denoising Diffusion Implicit Models.

ASGDiffusion: Parallel High-Resolution Generation with Asynchronous Structure Guidance Denoising Diffusion Implicit Models

Reference 26

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source=pdf_text observed=2026-08-11T20:00:12.251961Z digest=sha256:0ca712d8650690e0f948403e2eb295ec90ca1933125b3a44842205279fe17f1a

Observation 3ba88733-ba6b-41ff-9b53-8b5f5903fe3f · outbound

This paper cites Relay Diffusion: Unifying diffusion process across resolutions for image synthesis.

ASGDiffusion: Parallel High-Resolution Generation with Asynchronous Structure Guidance Relay Diffusion: Unifying diffusion process across resolutions for image synthesis

Reference 27

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:00:12.257554Z digest=sha256:16adb60b0f8736863b46e38c4cada2c04f3f831ba481622e80b2b75fdd56d5e1

Observation a14cddde-10be-41cf-a3f0-cd3afba29fd2 · outbound

This paper cites Designing a Practical Degradation Model for Deep Blind Image Super-Resolution.

ASGDiffusion: Parallel High-Resolution Generation with Asynchronous Structure Guidance Designing a Practical Degradation Model for Deep Blind Image Super-Resolution

Reference 28

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:00:12.262810Z digest=sha256:2458cbc94e188db4089cdb7e9630715278297e203a1c97ad6136386cc449357a

Observation d63b78d8-f7f2-4b16-a876-f0916de473a1 · outbound

This paper cites • Additional visualization results – High-resolution outputs generated by ASGDiffusion.

ASGDiffusion: Parallel High-Resolution Generation with Asynchronous Structure Guidance • Additional visualization results – High-resolution outputs generated by ASGDiffusion

Reference 2021

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verified fuzzy
raw_fallback, observed 2026-08-11T20:00:12.555915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Pith citing papers

Observation 51031ae7-78bf-468e-9f1d-a52641c0ef06 · inbound

UPLiFT: Efficient Pixel-Dense Feature Upsampling with Local Attenders cites this paper.

UPLiFT: Efficient Pixel-Dense Feature Upsampling with Local Attenders ASGDiffusion: Parallel High-Resolution Generation with Asynchronous Structure Guidance

Reference 25

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Unavailable: canonical work link unavailable.

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