Pith. sign in

Paper Citation Record · LEDGER

Personalized Text-to-Image Generation with Auto-Regressive Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2504.13162.

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

pith.paper-citation-record.v1
2504.13162 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:09:49.457645Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T20:46:25.490563Z

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 8b31ddba-8737-42d6-ba19-0449dca3b32a · inbound

StyleAR: Customizing Multimodal Autoregressive Model for Style-Aligned Text-to-Image Generation cites this paper.

StyleAR: Customizing Multimodal Autoregressive Model for Style-Aligned Text-to-Image Generation Personalized Text-to-Image Generation with Auto-Regressive Models

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-07T14:09:49.457645Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:09:49.457645Z digest=sha256:adef08b3c8326f66d07bb88be7a936fd21d806c5f663a4c13f97fab340d2c803

Observation 6d30520e-af56-4eaa-94ec-2ec3f0cd33a4 · 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 Personalized Text-to-Image Generation with Auto-Regressive Models

Reference 36

Resolution
verified exact
local_arxiv, observed 2026-08-06T20:46:25.493407Z

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=2026-08-06T20:46:25.128283Z digest=sha256:e78bba2dfd82d433846e754b2a6f4883ab454c9513ea18ed95bd39b637d53e5d