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Paper Citation Record · LEDGER

Encoder-based Domain Tuning for Fast Personalization of Text-to-Image Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2302.12228.

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

pith.paper-citation-record.v1
2302.12228 v3

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 2026-08-07T05:59:47.486741Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T04:50:53.665131Z

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 7d0b48c3-6ade-44ed-923c-3305e8e8a513 · inbound

AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning cites this paper.

AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning Encoder-based Domain Tuning for Fast Personalization of Text-to-Image Models

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-10T22:52:19.575709Z

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=2026-05-10T22:52:19.359362Z digest=sha256:70c0cec25e04669913894f42f066087b49ce415307e78826a081e5c66bcf697d

Observation 2d80c252-f8bf-4110-8200-e3f05d23418f · inbound

InstantID: Zero-shot Identity-Preserving Generation in Seconds cites this paper.

InstantID: Zero-shot Identity-Preserving Generation in Seconds Encoder-based Domain Tuning for Fast Personalization of Text-to-Image Models

Reference 5

Resolution
metadata mismatch
arxiv_id, observed 2026-05-17T21:02:41.443564Z

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=2026-05-17T21:02:41.399183Z digest=sha256:6f2da70d4a2aff63bf9f0e67843cee47a682eb71cb80c84e9ef54847a1c94678

Observation 0a1de65e-9744-48ba-ada1-9966efd00004 · inbound

Noise Consistency Regularization for Improved Subject-Driven Image Synthesis cites this paper.

Noise Consistency Regularization for Improved Subject-Driven Image Synthesis Encoder-based Domain Tuning for Fast Personalization of Text-to-Image Models

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T05:59:47.486741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:59:47.486741Z digest=sha256:554a5362c34f65fec12d7261caeef7f7efaa05124f50455a7ebf6dd4ba43823e

Observation b73d4ce0-5bfe-4ef4-9fab-81c3abb8e661 · inbound

StorySync: Training-Free Subject Consistency in Text-to-Image Generation via Region Harmonization cites this paper.

StorySync: Training-Free Subject Consistency in Text-to-Image Generation via Region Harmonization Encoder-based Domain Tuning for Fast Personalization of Text-to-Image Models

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T10:47:00.577992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:47:00.577992Z digest=sha256:20463be62d04ed72761b4b616fd015653c5f01f813c794b4d2bc448f91d04bd0

Observation c10f0506-d936-448f-9631-0ee430a9b297 · inbound

Adversarial Concept Distillation for One-Step Diffusion Personalization cites this paper.

Adversarial Concept Distillation for One-Step Diffusion Personalization Encoder-based Domain Tuning for Fast Personalization of Text-to-Image Models

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-18T04:50:53.669077Z

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=2026-05-18T04:50:01.364000Z digest=sha256:25b96d402c36777874c21dc7eab0383edad9bb951d2c26b2dbd4b99c97447307