Paper Citation Record · LEDGER

I-Max: Maximize the Resolution Potential of Pre-trained Rectified Flow Transformers with Projected Flow

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2410.07536.

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

pith.paper-citation-record.v1
2410.07536 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T16:55:27.740618Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-08T15:45:04.700354Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
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malformed identifier0
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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 55031174-c906-4f7b-8a48-12d3f26527c7 · inbound

FreeScale: Unleashing the Resolution of Diffusion Models via Tuning-Free Scale Fusion cites this paper.

FreeScale: Unleashing the Resolution of Diffusion Models via Tuning-Free Scale Fusion I-Max: Maximize the Resolution Potential of Pre-trained Rectified Flow Transformers with Projected Flow

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-11T16:55:27.740618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d93b572-e56a-4576-934e-07706d64c553 · inbound

CLEAR: Conv-Like Linearization Revs Pre-Trained Diffusion Transformers Up cites this paper.

CLEAR: Conv-Like Linearization Revs Pre-Trained Diffusion Transformers Up I-Max: Maximize the Resolution Potential of Pre-trained Rectified Flow Transformers with Projected Flow

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-11T10:54:30.786062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44ebd80b-4e18-4e49-8233-445801766213 · inbound

LSSGen: Leveraging Latent Space Scaling in Flow and Diffusion for Efficient Text to Image Generation cites this paper.

LSSGen: Leveraging Latent Space Scaling in Flow and Diffusion for Efficient Text to Image Generation I-Max: Maximize the Resolution Potential of Pre-trained Rectified Flow Transformers with Projected Flow

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T15:22:24.918912Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0851fceb-930e-4978-9411-6d83d0513411 · inbound

CineScale: Free Lunch in High-Resolution Cinematic Visual Generation cites this paper.

CineScale: Free Lunch in High-Resolution Cinematic Visual Generation I-Max: Maximize the Resolution Potential of Pre-trained Rectified Flow Transformers with Projected Flow

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-05T17:46:36.118368Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 07cf536a-1c34-446d-b85e-a4e9162a7229 · inbound

ExtraVAR: Stage-Aware RoPE Remapping for Resolution Extrapolation in Visual Autoregressive Models cites this paper.

ExtraVAR: Stage-Aware RoPE Remapping for Resolution Extrapolation in Visual Autoregressive Models I-Max: Maximize the Resolution Potential of Pre-trained Rectified Flow Transformers with Projected Flow

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-12T07:26:27.969091Z

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.

Observation 78888c15-2d7a-476f-8cca-e76e9699456b · inbound

HierEdit: Region-Aware Hierarchical Diffusion for Efficient High-Resolution Editing cites this paper.

HierEdit: Region-Aware Hierarchical Diffusion for Efficient High-Resolution Editing I-Max: Maximize the Resolution Potential of Pre-trained Rectified Flow Transformers with Projected Flow

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-20T14:43:22.554426Z

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.

Observation dad681fd-e8e3-43c1-993a-461e8137b58b · inbound

Tuning-Free Latent Diffusion Models for Ultrahigh-Resolution Image Editing cites this paper.

Tuning-Free Latent Diffusion Models for Ultrahigh-Resolution Image Editing I-Max: Maximize the Resolution Potential of Pre-trained Rectified Flow Transformers with Projected Flow

Reference 50

Resolution: verified exact; local_arxiv, observed 2026-07-08T15:45:04.701636Z

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.

Observation 7c3f04fd-f9c0-4362-a5f5-ac6b951e669d · inbound

HRDiT: Training-Free High-Resolution Image Generation with Off-the-Shelf Diffusion Transformer Models cites this paper.

HRDiT: Training-Free High-Resolution Image Generation with Off-the-Shelf Diffusion Transformer Models I-Max: Maximize the Resolution Potential of Pre-trained Rectified Flow Transformers with Projected Flow

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-10T16:52:47.021139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.