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Paper Citation Record · LEDGER

Is One GPU Enough? Pushing Image Generation at Higher-Resolutions with Foundation Models

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2406.07251.

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

pith.paper-citation-record.v1
2406.07251 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T23:56:45.291571Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T05:05:23.017678Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

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 a1fce452-0250-44e8-ac7a-340b8acdf3cd · inbound

AccDiffusion v2: Towards More Accurate Higher-Resolution Diffusion Extrapolation cites this paper.

AccDiffusion v2: Towards More Accurate Higher-Resolution Diffusion Extrapolation Is One GPU Enough? Pushing Image Generation at Higher-Resolutions with Foundation Models

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-11T23:56:45.291571Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:56:45.291571Z digest=sha256:5b6d1063016e15c63297e0c87c1479a9a839506e6b6156308e53b8aad7492e04

Observation 1fb02acb-1755-4091-876b-2d5318771ed6 · inbound

HiWave: Training-Free High-Resolution Image Generation via Wavelet-Based Diffusion Sampling cites this paper.

HiWave: Training-Free High-Resolution Image Generation via Wavelet-Based Diffusion Sampling Is One GPU Enough? Pushing Image Generation at Higher-Resolutions with Foundation Models

Reference 2016

Resolution
unresolved
no resolver link, observed 2026-08-06T22:54:20.756216Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:54:20.756216Z digest=sha256:a8eb8b1cf6fcf518f8f8f7633ead7546ac210a7ef4c9620c45b0b2d60f9f97e5

Observation 740b70e8-c058-401d-9518-7d2ea7a363dd · inbound

APT: Improving Diffusion Models for High Resolution Image Generation with Adaptive Path Tracing cites this paper.

APT: Improving Diffusion Models for High Resolution Image Generation with Adaptive Path Tracing Is One GPU Enough? Pushing Image Generation at Higher-Resolutions with Foundation Models

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-06T12:37:05.441497Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:37:05.441497Z digest=sha256:cf4851650ab7722f1978c06e21ce92dcc0a63c542c3dc89a58ababb6eb914f11

Observation 4432521d-5797-4904-abe9-bcfab4f10591 · inbound

HaineiFRDM: Structure-Preserving Diffusion for Film Restoration under Fast Motion and Diverse Defects cites this paper.

HaineiFRDM: Structure-Preserving Diffusion for Film Restoration under Fast Motion and Diverse Defects Is One GPU Enough? Pushing Image Generation at Higher-Resolutions with Foundation Models

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-03T13:15:33.065253Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T13:15:33.065253Z digest=sha256:d17acbaa959296986c280b2dee5a2bb9a2cb0f93d1b83bf064b4a9cccb221323

Observation a661e152-786f-4ad6-87eb-bf55b20a7369 · inbound

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

UPLiFT: Efficient Pixel-Dense Feature Upsampling with Local Attenders Is One GPU Enough? Pushing Image Generation at Higher-Resolutions with Foundation Models

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-03T08:13:44.475580Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T08:13:44.475580Z digest=sha256:25d203533176d3aac51a786c9ec482d873c29285397a2742d40432fe57f430fc

Observation db4a368e-d8d1-43bd-9c96-9b6c3e3c8b13 · inbound

Convex Optimization for Alignment and Preference Learning on a Single GPU cites this paper.

Convex Optimization for Alignment and Preference Learning on a Single GPU Is One GPU Enough? Pushing Image Generation at Higher-Resolutions with Foundation Models

Reference 128

Resolution
verified exact
arxiv_id, observed 2026-05-25T05:05:23.020670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-25T05:01:31.560963Z digest=sha256:136410436e433d2abc53e2f922af07938b42edc7980821f12a37238559742ba6