Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
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 7 inbound Pith citation observations for arXiv:2502.13081.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T05:25:43.981255Z
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 ccd16047-2474-4d59-968b-9c2eb6fe9b12 · inbound
Rethinking Cross-Modal Interaction in Multimodal Diffusion Transformers cites this paper.
Rethinking Cross-Modal Interaction in Multimodal Diffusion Transformers Personalized Image Generation with Deep Generative Models: A Decade Survey
Reference 47
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:25:43.981255Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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 2026-08-07T06:34:17.273281+00:00.
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 2026-08-07T06:34:17.273281+00:00.
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 2026-08-07T06:34:17.273281+00:00.
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 2026-08-07T06:34:17.273281+00:00.
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.
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.