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Paper Citation Record · LEDGER

Personalize Anything for Free with Diffusion Transformer

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2503.12590.

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

pith.paper-citation-record.v1
2503.12590 v1

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 2026-08-07T06:34:17.273281+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:17:32.762978Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T20:24:55.663159Z

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 1fc9f34c-9f78-4159-8240-ee816df5ed74 · inbound

MMIG-Bench: Towards Comprehensive and Explainable Evaluation of Multi-Modal Image Generation Models cites this paper.

MMIG-Bench: Towards Comprehensive and Explainable Evaluation of Multi-Modal Image Generation Models Personalize Anything for Free with Diffusion Transformer

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T14:17:32.762978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:17:32.762978Z digest=sha256:f9326db25e513c601f577f2d33d63dcf9b8855a00525e51a51e30de5bca781d4

Observation 16cd5329-1063-4e45-80f0-835cdfaaba96 · inbound

PairEdit: Learning Semantic Variations for Exemplar-based Image Editing cites this paper.

PairEdit: Learning Semantic Variations for Exemplar-based Image Editing Personalize Anything for Free with Diffusion Transformer

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T05:29:09.086552Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:29:09.086552Z digest=sha256:66fa39528b7050044c3db854afe79587654d11a6221165c508e3845f9bea0815

Observation e9af39c4-871e-4c76-b5f6-d48e3f4629c1 · inbound

The Aging Multiverse: Generating Condition-Aware Facial Aging Tree via Training-Free Diffusion cites this paper.

The Aging Multiverse: Generating Condition-Aware Facial Aging Tree via Training-Free Diffusion Personalize Anything for Free with Diffusion Transformer

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T22:46:18.627540Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:46:18.627540Z digest=sha256:46ae787c5e65015ba13bcb394ca3f45c1e8e01fc2d89437b049d6540f7af4f29

Observation 86bd7420-c899-4e96-9b17-393579d95aef · inbound

FreeLoRA: Enabling Training-Free LoRA Fusion for Autoregressive Multi-Subject Personalization cites this paper.

FreeLoRA: Enabling Training-Free LoRA Fusion for Autoregressive Multi-Subject Personalization Personalize Anything for Free with Diffusion Transformer

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-06T20:46:25.049029Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:46:25.049029Z digest=sha256:a2d288c1b74e487a8bef02dcf6efc7447409ea6804cf2ed76c84b99b19e8db6e

Observation 220c09bf-79dc-43bc-b604-5052a5e62ae2 · inbound

RichControl: Structure- and Appearance-Rich Training-Free Spatial Control for Text-to-Image Generation cites this paper.

RichControl: Structure- and Appearance-Rich Training-Free Spatial Control for Text-to-Image Generation Personalize Anything for Free with Diffusion Transformer

Reference 20

Resolution
verified exact
local_arxiv, observed 2026-08-06T20:24:55.670646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:24:51.690968Z digest=sha256:603dc5a2825ae4dc71422ac2b1ee4d692a7194dc6f1e20988189e0ccdceb8ea4