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Paper Citation Record · LEDGER

Domain-Agnostic Tuning-Encoder for Fast Personalization of Text-To-Image Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2307.06925.

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

pith.paper-citation-record.v1
2307.06925 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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:40:54.785649Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T08:02:10.451898Z

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 1f21b890-b005-4675-b2d9-e07c29b5181d · inbound

SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation cites this paper.

SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation Domain-Agnostic Tuning-Encoder for Fast Personalization of Text-To-Image Models

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-19T08:02:10.455195Z

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=2026-05-19T07:59:49.398271Z digest=sha256:6e58c97fd289c06824fb0675e3544f23e6edbe838f4330e793d6a7ed530307ba

Observation b86e835d-e13d-4d64-999d-2f0ae07f9a69 · inbound

Stable-Hair v2: Real-World Hair Transfer via Multiple-View Diffusion Model cites this paper.

Stable-Hair v2: Real-World Hair Transfer via Multiple-View Diffusion Model Domain-Agnostic Tuning-Encoder for Fast Personalization of Text-To-Image Models

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-06T18:40:54.785649Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:40:54.785649Z digest=sha256:8ada5dc06a76c0eb0d3dd09a439452954e34dfa911e78e7ba183200fb2c2c888