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Paper Citation Record · LEDGER

Fashion-Gen: The Generative Fashion Dataset and Challenge

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:1806.08317.

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

pith.paper-citation-record.v1
1806.08317 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 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 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:02:33.130036Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-04T16:39:57.384149Z

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 00009df5-9eda-4b04-9ea9-94b08822592b · inbound

FashionFAE: Fine-grained Attributes Enhanced Fashion Vision-Language Pre-training cites this paper.

FashionFAE: Fine-grained Attributes Enhanced Fashion Vision-Language Pre-training Fashion-Gen: The Generative Fashion Dataset and Challenge

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-10T23:43:47.738356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:43:47.738356Z digest=sha256:52c877fd94eb4f53580a4f6d5004a5fcc4e37b7fcf63787e4e7c185dcb78bf0d

Observation 3142d056-5cf6-40de-9444-42d86168d519 · inbound

MADiff: Text-Guided Fashion Image Editing with Mask Prediction and Attention-Enhanced Diffusion cites this paper.

MADiff: Text-Guided Fashion Image Editing with Mask Prediction and Attention-Enhanced Diffusion Fashion-Gen: The Generative Fashion Dataset and Challenge

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-10T23:42:25.588768Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:42:25.588768Z digest=sha256:57bb8edba580649e22b0872a8281e14f27fc414b2fad0d245f3b068af43f44bb

Observation 512081fe-5125-47be-a21a-d81de30eb6be · inbound

Multi-Modality Transformer for E-Commerce: Inferring User Purchase Intention to Bridge the Query-Product Gap cites this paper.

Multi-Modality Transformer for E-Commerce: Inferring User Purchase Intention to Bridge the Query-Product Gap Fashion-Gen: The Generative Fashion Dataset and Challenge

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-10T17:10:07.157525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:10:07.157525Z digest=sha256:5621c98c20e89f43deee89bc200629fe9b622adebc585e775f8faa61872de9a6

Observation 77883fbb-2104-4932-9fc4-3d90c683db2c · inbound

Seeing the Abstract: Translating the Abstract Language for Vision Language Models cites this paper.

Seeing the Abstract: Translating the Abstract Language for Vision Language Models Fashion-Gen: The Generative Fashion Dataset and Challenge

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-16T00:02:33.130036Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:02:33.130036Z digest=sha256:5917bc4dbc6444ea5fc4c1a52d4db1557d9f03d3b090bef7d7679e9fbefa0fc1

Observation 90aaaab7-b382-4a52-8081-bb7e1bcef4a2 · inbound

Adapting Vision-Language Models Without Labels: A Comprehensive Survey cites this paper.

Adapting Vision-Language Models Without Labels: A Comprehensive Survey Fashion-Gen: The Generative Fashion Dataset and Challenge

Reference 273

Resolution
unresolved
no resolver link, observed 2026-08-05T23:17:12.268985Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:17:12.268985Z digest=sha256:392b51b3522715b0b975c8e26daad6000bad0a4cf2681d695cbd16a1b8955118

Observation 7c7cc2b0-12d7-4703-ba14-90f7bd109483 · inbound

FashionStylist: An Expert Knowledge-enhanced Multimodal Dataset for Fashion Understanding cites this paper.

FashionStylist: An Expert Knowledge-enhanced Multimodal Dataset for Fashion Understanding Fashion-Gen: The Generative Fashion Dataset and Challenge

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-05-11T05:25:57.628883Z

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=2026-05-10T18:09:27.385799Z digest=sha256:fe37fd9ba5a23d9b85870427777a1b40ad3ab4dbe9eec48c00ba3a26e5cb62f5

Observation 62898b94-92c8-4de4-be19-e909932addca · inbound

FashionMV: Product-Level Composed Image Retrieval with Multi-View Fashion Data cites this paper.

FashionMV: Product-Level Composed Image Retrieval with Multi-View Fashion Data Fashion-Gen: The Generative Fashion Dataset and Challenge

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-05-11T09:31:06.451710Z

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=2026-05-10T15:57:48.918816Z digest=sha256:d0078615e5da444a2603f64cfbd004c6906bbc26619072c9eaaf4f1de003c98f

Observation 9a30e383-d58d-4720-9623-ab626b7fccdf · inbound

ReflectCAP: Detailed Image Captioning with Reflective Memory cites this paper.

ReflectCAP: Detailed Image Captioning with Reflective Memory Fashion-Gen: The Generative Fashion Dataset and Challenge

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-11T09:11:02.411645Z

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=2026-05-10T16:11:10.598413Z digest=sha256:9d6827f5d777a1aa3ff854c3d43ec803d17458f6d35fa04a7678a493d3002c64

Observation 42f7032f-b7d2-4c54-b81f-0a8b1d28b8dc · inbound

Topology-Aware Representation Alignment for Semi-Supervised Vision-Language Learning cites this paper.

Topology-Aware Representation Alignment for Semi-Supervised Vision-Language Learning Fashion-Gen: The Generative Fashion Dataset and Challenge

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-12T08:41:25.682773Z

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=2026-05-07T14:03:24.505277Z digest=sha256:10e50cb7005b75fb90d43f3029af8c2d950346148a0c8ae014bb724ed550fc8e

Observation f2f2cd07-f0b8-4fa1-957e-df8a0d228032 · inbound

FashionLens: Toward Versatile Fashion Image Retrieval via Task-Adaptive Learning cites this paper.

FashionLens: Toward Versatile Fashion Image Retrieval via Task-Adaptive Learning Fashion-Gen: The Generative Fashion Dataset and Challenge

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-05-22T06:04:39.587992Z

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=2026-05-22T06:02:30.306350Z digest=sha256:5c3aea48d42a20312ff09137bfc19820bd79fe79b320dbca03ad33b556ee50e1

Observation 55e06ac0-e52e-4a40-9d47-ee16f154d2b4 · inbound

Uncovering the Latent Potential of Deep Intermediate Representations cites this paper.

Uncovering the Latent Potential of Deep Intermediate Representations Fashion-Gen: The Generative Fashion Dataset and Challenge

Reference 82

Resolution
metadata mismatch
local_arxiv, observed 2026-05-25T05:36:39.276326Z

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=arxiv_source observed=2026-05-25T05:36:24.743558Z digest=sha256:49c07b18bc0676d2c0bf85becd11f099825bd132e00a01b78f1340eb3cb2cc44

Observation 1c3850c3-7837-4218-83f5-bc5048efe90d · inbound

Revealing Training Data Exposure in Vision Language Large Models via Parameter Gradients cites this paper.

Revealing Training Data Exposure in Vision Language Large Models via Parameter Gradients Fashion-Gen: The Generative Fashion Dataset and Challenge

Reference 28

Resolution
verified exact
local_arxiv, observed 2026-07-04T16:39:57.385704Z

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=2026-06-26T00:25:47.970957Z digest=sha256:5e666a3c7613e8fb823780e54e833ee5b14f9a0601e3e5ce7281ef3b90494428