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Paper Citation Record · LEDGER

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

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 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 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:22:24.918912Z

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
  • 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 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.

source=pdf_text observed=2026-08-06T15:22:24.918912Z digest=sha256:21c2d32620dd1b0a065d0a70a7cec00528834ecbbc0edc1b585862b7f2195289

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.

source=pdf_text observed=2026-08-05T17:46:36.118368Z digest=sha256:a5d00802f184af3f5c2e2a3cc9ebf30e71989d248a0ea9bd41075e3e3a0f6729

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-12T03:01:32.762236Z digest=sha256:d7747a27b4f1cd41bafa07cf097939650fb31ce6c517359f86854f85db4a8fdc

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-20T14:40:20.517450Z digest=sha256:ac6409cec397ba9c8409ecd35ab0ca2615ef319451c9d02d364eb2c10b49f84b

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-08T15:40:29.151852Z digest=sha256:b28d59a2e676b4fd674ee3f40d9e02db2c60b74d14df124e3903e3397f90847b