Paper Citation Record · LEDGER

Fashion Florence: Fine-Tuning Florence-2 for Structured Fashion Attribute Extraction

As of 15 July 2026, this Paper Citation Record lists 8 of 8 outbound references and 0 inbound Pith citation observations for arXiv:2605.09827.

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

pith.paper-citation-record.v1
2605.09827 v1

Coverage vector

measured 8 of 8 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-12T05:11:10.175819Z

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-07-14T06:31:01.685423+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

8 of 8 outbound references displayed

verified exact2
verified fuzzy6
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7443b26e-a8bf-45fc-b79a-adc28958be14 · outbound

This paper cites Contrastive language and vision learning of general fashion concepts.

Fashion Florence: Fine-Tuning Florence-2 for Structured Fashion Attribute Extraction Contrastive language and vision learning of general fashion concepts

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-12T05:31:25.635747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

Observation e2d458e4-166c-4998-b9d5-10a6ef750fde · outbound

This paper cites FashionVLP : Vision language transformer for fashion retrieval with feedback.

Fashion Florence: Fine-Tuning Florence-2 for Structured Fashion Attribute Extraction FashionVLP : Vision language transformer for fashion retrieval with feedback

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T12:06:32.694065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

Observation e59a4369-7a4d-4825-a695-8d934ce8fbb8 · outbound

This paper cites R., and Belongie, S.

Fashion Florence: Fine-Tuning Florence-2 for Structured Fashion Attribute Extraction R., and Belongie, S

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T12:06:32.696738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

Observation fce24b37-3750-404a-bcf8-a9247f0f7304 · outbound

This paper cites J., Shen, Y., Wallis, P., Allen-Zhu, Z., Li, Y., Wang, S., Wang, L., and Chen, W.

Fashion Florence: Fine-Tuning Florence-2 for Structured Fashion Attribute Extraction J., Shen, Y., Wallis, P., Allen-Zhu, Z., Li, Y., Wang, S., Wang, L., and Chen, W

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T12:06:32.686111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

Observation 80d71b5f-6e3a-4006-8896-50703bc605ce · outbound

This paper cites Can GPT-4o mini and Gemini 2.0 Flash Predict Fine-Grained Fashion Product Attributes? A Zero-Shot Analysis.

Fashion Florence: Fine-Tuning Florence-2 for Structured Fashion Attribute Extraction Can GPT-4o mini and Gemini 2.0 Flash Predict Fine-Grained Fashion Product Attributes? A Zero-Shot Analysis

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-12T05:31:25.631895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

Observation d34f632a-ab8d-4a46-b3f7-d71ffc371c31 · outbound

This paper cites DeepFashion : Powering robust clothes recognition and retrieval with rich annotations.

Fashion Florence: Fine-Tuning Florence-2 for Structured Fashion Attribute Extraction DeepFashion : Powering robust clothes recognition and retrieval with rich annotations

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T12:06:32.688851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

Observation cf635678-6f1e-4409-9db3-08998d2017a0 · outbound

This paper cites W., Hallacy, C., Ramesh, A., Goh, G., Agarwal, S., Sastry, G., Askell, A., Mishkin, P., Clark, J., Krueger, G., and Sutskever, I.

Fashion Florence: Fine-Tuning Florence-2 for Structured Fashion Attribute Extraction W., Hallacy, C., Ramesh, A., Goh, G., Agarwal, S., Sastry, G., Askell, A., Mishkin, P., Clark, J., Krueger, G., and Sutskever, I

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T12:06:32.691485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

Observation cd36d2fa-08ac-431b-89c6-2d569e20a831 · outbound

This paper cites Florence-2 : Advancing a unified representation for a variety of vision tasks.

Fashion Florence: Fine-Tuning Florence-2 for Structured Fashion Attribute Extraction Florence-2 : Advancing a unified representation for a variety of vision tasks

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T12:06:32.683100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

Pith citing papers

No inbound Pith citation observations are available.