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Paper Citation Record · LEDGER

Personalized Image Generation with Deep Generative Models: A Decade Survey

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 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 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:17:37.020233Z

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 20a05d4f-385e-4ad3-841c-da2f9ff8e0e6 · inbound

MMIG-Bench: Towards Comprehensive and Explainable Evaluation of Multi-Modal Image Generation Models cites this paper.

MMIG-Bench: Towards Comprehensive and Explainable Evaluation of Multi-Modal Image Generation Models Personalized Image Generation with Deep Generative Models: A Decade Survey

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-07T14:17:37.020233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:17:37.020233Z digest=sha256:f34427f67e42ad61715097a89802b70f02b84dadbd9906c7ea6ea767d6d847f0

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.

source=pdf_text observed=2026-08-07T05:25:43.981255Z digest=sha256:426c41b85b5ce409fc567526f23b35df95ec41fa614e886310b9f72847410a97

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-15T17:26:02.023978Z digest=sha256:9b905a641140ba22078f7cb187c017b060550d2fa827c0f09a5d9e8cbf7781bd

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-12T00:54:41.558704Z digest=sha256:d5d0f9f4374bed3e1955322aadcf6b63a712ddb5176877c6839f9d8658a78803

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-13T05:31:45.572522Z digest=sha256:7469d7287e9e61fdf31b3608158ada0397fe5256be9dec5d465e32b9f334e857

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-06-28T15:07:03.439928Z digest=sha256:865a3c695f867c99fd627f6e8809762bbadba54b58f2d588a5eacbf951e1877e

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:b6f5baf4c14a8241760e7a4f2c6a800341564f0a2b1929dedaea8ea56e8e7ac4

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=sha256:04ad43897bdb28cb68a517aaaafd63caa733de91e43c181ac382f8c3afaaa121