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Paper Citation Record · LEDGER

Improving Diffusion Models for Authentic Virtual Try-on in the Wild

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2403.05139.

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

pith.paper-citation-record.v1
2403.05139 v3

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 2026-08-06T06:34:29.942622+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T23:55:33.944896Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T12:39:49.302117Z

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 41960fed-eef4-4ff8-a89a-802db33a6b44 · inbound

CONVERGE: A Multi-Agent Vision-Radio Architecture for xApps cites this paper.

CONVERGE: A Multi-Agent Vision-Radio Architecture for xApps Improving Diffusion Models for Authentic Virtual Try-on in the Wild

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-05T23:55:33.944896Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:55:33.944896Z digest=sha256:9f0f807830baeee8d416f5be8d6e7dc2876f088ed60dcb2ce066f0f55604a42b

Observation 508a5d52-404a-4ca5-9ef5-c2d69445a1cc · inbound

Borrowing from anything: A generalizable framework for reference-guided instance editing cites this paper.

Borrowing from anything: A generalizable framework for reference-guided instance editing Improving Diffusion Models for Authentic Virtual Try-on in the Wild

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-03T15:53:59.077676Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:53:59.077676Z digest=sha256:cc1661d6706ba3272b4d2b7ad77d82a35d0b934cd8dda9821c148ae0581736e1

Observation 3ef04f7e-074b-439d-afcf-387e87580f20 · inbound

LPH-VTON: Resolving the Structure-Texture Dilemma of Virtual Try-On via Latent Process Handover cites this paper.

LPH-VTON: Resolving the Structure-Texture Dilemma of Virtual Try-On via Latent Process Handover Improving Diffusion Models for Authentic Virtual Try-on in the Wild

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-06-30T21:35:04.848147Z

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=2026-06-30T21:27:14.856225Z digest=sha256:87c41b7505bb173da2fe6a3a17259742693e900e42c4a4e960e35ded7d21ceb9

Observation a8f21c8d-5dc9-4b01-a709-010e6f8bee09 · inbound

Controllable Texture Tiling with Transformed RoPE-Enhanced Diffusion Models cites this paper.

Controllable Texture Tiling with Transformed RoPE-Enhanced Diffusion Models Improving Diffusion Models for Authentic Virtual Try-on in the Wild

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-07-04T12:39:49.303640Z

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=2026-06-26T06:26:04.492570Z digest=sha256:a7a0aaf82f70f28df8d50370c3372f2a0cf502169611c6d2bc1a26199239e4ec

Observation ee6334c3-9fe3-43d5-afd0-1ca6d8990ea2 · inbound

WearWow: Native 2K Multi-Garment Virtual Try-On via Adaptive Token Packing and Preference Alignment cites this paper.

WearWow: Native 2K Multi-Garment Virtual Try-On via Adaptive Token Packing and Preference Alignment Improving Diffusion Models for Authentic Virtual Try-on in the Wild

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-01T11:22:43.964222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T11:22:43.964222Z digest=sha256:22c05a9492ef4061fb07cd18dbdbfded90704b29338799d5cd940e28811277b3