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Paper Citation Record · LEDGER

Taming Encoder for Zero Fine-tuning Image Customization with Text-to-Image Diffusion Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2304.02642.

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

pith.paper-citation-record.v1
2304.02642 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:41:21.632003Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T22:36:17.789199Z

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 caf160e4-bb00-4223-8633-ebca13d622bd · 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 Taming Encoder for Zero Fine-tuning Image Customization with Text-to-Image Diffusion Models

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-10T22:52:19.612383Z

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=sha256:614417d6cc50e9d6727bbea98732f544091c319ab83c747c70830007c40a1d9e

Observation 0054f1d1-3690-4e8a-bee5-f924ccd29726 · inbound

LoRAShop: Training-Free Multi-Concept Image Generation and Editing with Rectified Flow Transformers cites this paper.

LoRAShop: Training-Free Multi-Concept Image Generation and Editing with Rectified Flow Transformers Taming Encoder for Zero Fine-tuning Image Customization with Text-to-Image Diffusion Models

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T12:41:21.632003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:41:21.632003Z digest=sha256:6a245b382f09c0e065961f420ba21a86e8f1a4d0c9ceda6c789d284f13f88066

Observation 6f0e7398-811c-417d-8685-3e067484718e · 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 Taming Encoder for Zero Fine-tuning Image Customization with Text-to-Image Diffusion Models

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-06T18:40:54.869024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:40:54.869024Z digest=sha256:5fabaa7364cb0871098519c3462f420eb2a3ab1048ec2775adb69ea34dd9f3ad

Observation fdf7d6b9-d057-4896-a96b-c2c74957325a · inbound

Comparison Reveals Commonality: Customized Image Generation through Contrastive Inversion cites this paper.

Comparison Reveals Commonality: Customized Image Generation through Contrastive Inversion Taming Encoder for Zero Fine-tuning Image Customization with Text-to-Image Diffusion Models

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-05T21:57:28.727563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T21:57:28.727563Z digest=sha256:d3a1edd21b3c8ea75efe4ee2c2a7bc640c54faf11c7fc915c71bb827ef157519

Observation d0cdf684-3332-43a2-a90f-7a0faaea50cc · inbound

Per-Query Visual Concept Learning cites this paper.

Per-Query Visual Concept Learning Taming Encoder for Zero Fine-tuning Image Customization with Text-to-Image Diffusion Models

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-05T21:18:50.551651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T21:18:50.551651Z digest=sha256:1e9d07e45060717766e835ddb2e6a5681cac1fccbc4b8c1e086220ac98881b36

Observation bf1391f0-2157-4b99-96b8-adce5c770dd6 · inbound

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

Adversarial Concept Distillation for One-Step Diffusion Personalization Taming Encoder for Zero Fine-tuning Image Customization with Text-to-Image Diffusion Models

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-05-18T04:50:53.565443Z

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=sha256:199d89a6d2c291b6a3c2913988e13336382f50cc09609d485696318771395798

Observation b69098b1-e38e-44e2-9371-ed3a9ec2d7ae · inbound

Intrinsic Concept Extraction Based on Compositional Interpretability cites this paper.

Intrinsic Concept Extraction Based on Compositional Interpretability Taming Encoder for Zero Fine-tuning Image Customization with Text-to-Image Diffusion Models

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-15T12:15:34.351630Z

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=2026-05-15T12:15:08.559058Z digest=sha256:57ae03f2b41a56c60119186a935a4dcc8aa78ed430f5499ec67c96eddea440ca

Observation 612f230e-752a-4a0a-87bb-58c491e0b1bd · inbound

Equilibrated Diffusion: Frequency-aware Textual Embedding for Equilibrated Image Customization cites this paper.

Equilibrated Diffusion: Frequency-aware Textual Embedding for Equilibrated Image Customization Taming Encoder for Zero Fine-tuning Image Customization with Text-to-Image Diffusion Models

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-07-01T22:36:17.790667Z

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=2026-06-28T15:11:20.359551Z digest=sha256:75e789024d2e471b2ee8a54aa72e2b10c2c964c157dc785f2e773a8c581960d8