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Paper Citation Record · LEDGER

DEADiff: An Efficient Stylization Diffusion Model with Disentangled Representations

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2403.06951.

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

pith.paper-citation-record.v1
2403.06951 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:16:46.638413Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T06:45:28.434542Z

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 5f8bebc9-11fc-44d7-adf4-e5eac7078f5c · inbound

OmniPrism: Learning Disentangled Visual Concept for Image Generation cites this paper.

OmniPrism: Learning Disentangled Visual Concept for Image Generation DEADiff: An Efficient Stylization Diffusion Model with Disentangled Representations

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-23T06:45:28.437873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-23T06:42:59.835198Z digest=sha256:b08fd8387dbcaf277381a9c6725b24815189716ab85fe915a4394786447c6f5e

Observation d546d932-474e-4dc9-80e1-f301196862f5 · inbound

Enhancing Low-Cost Video Editing with Lightweight Adaptors and Temporal-Aware Inversion cites this paper.

Enhancing Low-Cost Video Editing with Lightweight Adaptors and Temporal-Aware Inversion DEADiff: An Efficient Stylization Diffusion Model with Disentangled Representations

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-10T21:35:41.998090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:35:41.998090Z digest=sha256:694378e37a08d31c80720796370139ad4b45487708bd6c03bed1c144412bf31a

Observation cdd2c027-41ee-4ff1-89d1-10ec40acb558 · inbound

StyleSSP: Sampling StartPoint Enhancement for Training-free Diffusion-based Method for Style Transfer cites this paper.

StyleSSP: Sampling StartPoint Enhancement for Training-free Diffusion-based Method for Style Transfer DEADiff: An Efficient Stylization Diffusion Model with Disentangled Representations

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-10T18:31:27.252236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:31:27.252236Z digest=sha256:75c6ea140e58a7d8bd156e56ab438f09e606d232875061ebea0f8d421be6545d

Observation 54850c83-6e5f-483c-bdd9-c48f2e9b768f · inbound

Efficient Temporal Consistency in Diffusion-Based Video Editing with Adaptor Modules: A Theoretical Framework cites this paper.

Efficient Temporal Consistency in Diffusion-Based Video Editing with Adaptor Modules: A Theoretical Framework DEADiff: An Efficient Stylization Diffusion Model with Disentangled Representations

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-16T11:16:46.638413Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:16:46.638413Z digest=sha256:87ef22fe1d086da0e7c4fcd67d1f0abe1ac256304a21564f61a7d8fbcf7a929f

Observation 75267b86-0558-4058-8898-218492c19976 · inbound

MegaStyle: Constructing Diverse and Scalable Style Dataset via Consistent Text-to-Image Style Mapping cites this paper.

MegaStyle: Constructing Diverse and Scalable Style Dataset via Consistent Text-to-Image Style Mapping DEADiff: An Efficient Stylization Diffusion Model with Disentangled Representations

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-11T05:51:11.199560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-10T17:54:25.679094Z digest=sha256:c4276086abbc3c4e252a304b929fc9e8db3eb48b3cf0b6bb7ad35e6f1bd59edf