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Paper Citation Record · LEDGER

AI for Cultural Heritage Textiles: Fine-Tuned Latent Diffusion for Novel Ulos Motif Synthesis

As of 13 August 2026, this Paper Citation Record lists 7 of 7 outbound references and 0 inbound Pith citation observations for arXiv:2607.06590.

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

pith.paper-citation-record.v1
2607.06590 v1

Coverage vector

measured 7 of 7 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-11T13:44:56.406588Z

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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

7 of 7 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved7
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f0c8f43d-8cdf-4777-9b04-fd808f2af93f · outbound

This paper cites king of ulos.

AI for Cultural Heritage Textiles: Fine-Tuned Latent Diffusion for Novel Ulos Motif Synthesis king of ulos

Reference 1

Resolution
unresolved
no resolver link, observed 2026-07-11T13:44:56.406588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T13:44:56.406588Z digest=sha256:248fb02e1522b03c83f0e1ad448908d170e96147796f935d2d2465d7c2d65ae1

Observation 33b48c6b-067a-47f0-ad21-03f3b1616b64 · outbound

This paper cites jumlah lidi.

AI for Cultural Heritage Textiles: Fine-Tuned Latent Diffusion for Novel Ulos Motif Synthesis jumlah lidi

Reference 2

Resolution
unresolved
no resolver link, observed 2026-07-11T13:44:56.406588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T13:44:56.406588Z digest=sha256:5dbefbdadbcf233ac7df2a5a666d42c932576639bf08d44549084d3e0be346a5

Observation 21c73788-a94a-4d2d-8259-7b1ed047a007 · outbound

This paper cites Available: https://tfr.news/articles/2022/8/31/beyond-batik-exploring-the-diversity-of-traditional-indonesian-textiles?.

AI for Cultural Heritage Textiles: Fine-Tuned Latent Diffusion for Novel Ulos Motif Synthesis Available: https://tfr.news/articles/2022/8/31/beyond-batik-exploring-the-diversity-of-traditional-indonesian-textiles?

Reference 3

Resolution
unresolved
no resolver link, observed 2026-07-11T13:44:56.406588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T13:44:56.406588Z digest=sha256:520d7f3778ca61ef82b2ac9810fde6e8c7fbba019168909300e5347a1e89d753

Observation 7ddf30c7-c953-4ee2-8bc8-46cddde7c024 · outbound

This paper cites Diffusion Models already have a Semantic Latent Space.

AI for Cultural Heritage Textiles: Fine-Tuned Latent Diffusion for Novel Ulos Motif Synthesis Diffusion Models already have a Semantic Latent Space

Reference 4

Resolution
unresolved
no resolver link, observed 2026-07-11T13:44:56.406588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T13:44:56.406588Z digest=sha256:04ec50cba8edf1b67d5173a1726f7ccaaad947bcc1c5ac8badc3ade3c65ae369

Observation a48b213c-6d22-4a18-9b7c-7e27023e71ea · outbound

This paper cites SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis.

AI for Cultural Heritage Textiles: Fine-Tuned Latent Diffusion for Novel Ulos Motif Synthesis SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 5

Resolution
unresolved
no resolver link, observed 2026-07-11T13:44:56.406588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T13:44:56.406588Z digest=sha256:65556121c75629ce994c949ac2c3eb2e158956d424a455c5b59d2dbffb0079f5

Observation b0798cee-cb5b-46ef-8559-c434a4145ff0 · outbound

This paper cites Image Data Augmentation for Deep Learning: A Survey.

AI for Cultural Heritage Textiles: Fine-Tuned Latent Diffusion for Novel Ulos Motif Synthesis Image Data Augmentation for Deep Learning: A Survey

Reference 6

Resolution
unresolved
no resolver link, observed 2026-07-11T13:44:56.406588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T13:44:56.406588Z digest=sha256:c4229b85f611ac38684cd0a66953373160074b1d01f5f950a3cfd59ed113d38e

Observation 7c8b940b-fdd5-4a4f-858b-5db78fa7562f · outbound

This paper cites Prompt-to-Prompt Image Editing with Cross Attention Control.

AI for Cultural Heritage Textiles: Fine-Tuned Latent Diffusion for Novel Ulos Motif Synthesis Prompt-to-Prompt Image Editing with Cross Attention Control

Reference 7

Resolution
unresolved
no resolver link, observed 2026-07-11T13:44:56.406588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T13:44:56.406588Z digest=sha256:39714dbea9c5e3467f6d3a76123a83d96bf1e5a92a32efa4d47eb19fe9a2633a

Pith citing papers

No inbound Pith citation observations are available.