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Paper Citation Record · LEDGER

BootPIG: Bootstrapping Zero-shot Personalized Image Generation Capabilities in Pretrained Diffusion Models

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2401.13974.

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

pith.paper-citation-record.v1
2401.13974 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 2026-08-16T06:30:59.297886+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:53:12.507646Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T16:07:24.845089Z

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 34cfcff6-5716-464b-b01a-68e6fd59f9c1 · inbound

DreamCache: Finetuning-Free Lightweight Personalized Image Generation via Feature Caching cites this paper.

DreamCache: Finetuning-Free Lightweight Personalized Image Generation via Feature Caching BootPIG: Bootstrapping Zero-shot Personalized Image Generation Capabilities in Pretrained Diffusion Models

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-12T12:07:56.108242Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:07:56.108242Z digest=sha256:95210b4e89df46867970f65ce83e53d4886c85986c2a1862519139cce5a63e39

Observation c9687b4e-b5b9-4961-aa4e-194da38e5233 · inbound

UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics cites this paper.

UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics BootPIG: Bootstrapping Zero-shot Personalized Image Generation Capabilities in Pretrained Diffusion Models

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-11T18:33:57.885994Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:33:57.885994Z digest=sha256:84f3b072ca9cf5765ff580d94aa2d2af7e4129146dbcfd5e9f576307abf60574

Observation 9b8c1886-5b5a-4278-9bd5-a0412687c145 · inbound

Text to Image Generation and Editing: A Survey cites this paper.

Text to Image Generation and Editing: A Survey BootPIG: Bootstrapping Zero-shot Personalized Image Generation Capabilities in Pretrained Diffusion Models

Reference 199

Resolution
unresolved
no resolver link, observed 2026-08-16T00:53:12.507646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:53:12.507646Z digest=sha256:49afbeab17075db8a20360558650039e9fe1f409588a5313d46bd64ada15edd0

Observation 86f62b77-0205-4070-b02f-890ed7daf412 · inbound

Dimension-Reduction Attack! Video Generative Models are Experts on Controllable Image Synthesis cites this paper.

Dimension-Reduction Attack! Video Generative Models are Experts on Controllable Image Synthesis BootPIG: Bootstrapping Zero-shot Personalized Image Generation Capabilities in Pretrained Diffusion Models

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-07T12:53:27.096830Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:53:27.096830Z digest=sha256:beee7c1823478bd5f38c47c83522ff8ba7e9f05bd3306023b6e4c804a25febc0

Observation 8821270a-c7a6-4894-a09b-e374cf55f68c · inbound

FreeLoRA: Enabling Training-Free LoRA Fusion for Autoregressive Multi-Subject Personalization cites this paper.

FreeLoRA: Enabling Training-Free LoRA Fusion for Autoregressive Multi-Subject Personalization BootPIG: Bootstrapping Zero-shot Personalized Image Generation Capabilities in Pretrained Diffusion Models

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-06T20:46:25.102618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:46:25.102618Z digest=sha256:2bd1262bb45a856647ce5bfa5ecb571fb71876331bb596016be00a040f231fca

Observation b489951c-11de-4b91-bb91-b2de6e970432 · inbound

USO: Unified Style and Subject-Driven Generation via Disentangled and Reward Learning cites this paper.

USO: Unified Style and Subject-Driven Generation via Disentangled and Reward Learning BootPIG: Bootstrapping Zero-shot Personalized Image Generation Capabilities in Pretrained Diffusion Models

Reference 22

Resolution
verified exact
local_arxiv, observed 2026-08-05T16:07:24.848310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-05T16:07:24.682387Z digest=sha256:7d4a961650ef0637c0e68504f48b9a89dd5523ea271dac3baa2cd4b97384e6a6