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Paper Citation Record · LEDGER

Personalized Image Generation with Deep Generative Models: A Decade Survey

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2502.13081.

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

pith.paper-citation-record.v1
2502.13081 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T22:28:26.744753Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T22:46:18.742692Z

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 e6b80d21-a358-49f9-8401-b0e1767b54fd · inbound

HiFi-Inpaint: Towards High-Fidelity Reference-Based Inpainting for Generating Detail-Preserving Human-Product Images cites this paper.

HiFi-Inpaint: Towards High-Fidelity Reference-Based Inpainting for Generating Detail-Preserving Human-Product Images Personalized Image Generation with Deep Generative Models: A Decade Survey

Reference 49

Resolution
verified exact
arxiv_id, observed 2026-05-15T17:26:22.024518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T17:26:02.023978Z digest=sha256:a109d48cfa36fb2f94ab24395a983dc584d8aea22d9d6e24fa5f6cc96b97d088

Observation a0374ec8-e042-4a6f-9a5d-aa9902cda0b1 · inbound

Gate-and-Merge: Zero-shot Compositional Personalization of Vision Language Models cites this paper.

Gate-and-Merge: Zero-shot Compositional Personalization of Vision Language Models Personalized Image Generation with Deep Generative Models: A Decade Survey

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-12T00:56:14.293567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-12T00:54:41.558704Z digest=sha256:4ff17574946ba1c1e4834ceb252ea37e5684c1121922cd6c85b65d5cd01cb595

Observation 5441c67e-794d-4af4-a2fe-49b782d164fd · inbound

MULTI: Disentangling Camera Lens, Sensor, View, and Domain for Novel Image Generation cites this paper.

MULTI: Disentangling Camera Lens, Sensor, View, and Domain for Novel Image Generation Personalized Image Generation with Deep Generative Models: A Decade Survey

Reference 45

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T05:32:19.259162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T05:31:45.572522Z digest=sha256:89bacb4965015ea8b94bf6623f5b090d20170cb8a54e875827883aa7097622d4

Observation df462441-d062-4ef4-8abc-8fd1ca9c21db · inbound

Polaris: Scaling Up Instruction-Guided Image Generation Towards Millions of Personalized Style Needs cites this paper.

Polaris: Scaling Up Instruction-Guided Image Generation Towards Millions of Personalized Style Needs Personalized Image Generation with Deep Generative Models: A Decade Survey

Reference 104

Resolution
verified exact
arxiv_id, observed 2026-07-01T22:46:18.744894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-06-28T15:07:03.439928Z digest=sha256:3e78a744c8f806874af6b18f7db57458025a508fb788ae6b2b50bfe4bbb30d21

Observation c862d691-67f2-45c8-bf98-2f2486bfb8ff · inbound

Personalized Image Aesthetic Assessment via Preference-rich Sample Mining and Cohort Merging cites this paper.

Personalized Image Aesthetic Assessment via Preference-rich Sample Mining and Cohort Merging Personalized Image Generation with Deep Generative Models: A Decade Survey

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-01T22:28:26.744753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T22:28:26.744753Z digest=sha256:3cf83a207f2f48ab24b033ce2646c2a410c3874c1e97aaf0d5475ab87bb608e7

Observation ca62818b-331c-4190-95db-bc155d5ea149 · inbound

Appearance Pointers -- Multimodal Region Control of Diffusion Transformers cites this paper.

Appearance Pointers -- Multimodal Region Control of Diffusion Transformers Personalized Image Generation with Deep Generative Models: A Decade Survey

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-01T12:45:19.888342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T12:45:19.888342Z digest=sha256:ad76c0945197c6f216e0dd3e81a7c88ba5578dcaff204a27c5ac764456ca6f5f