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Paper Citation Record · LEDGER

Demystifying Neural Style Transfer

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1701.01036.

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

pith.paper-citation-record.v1
1701.01036 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 2026-08-14T06:32:32.682623+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T13:05:23.989332Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T13:56:27.547526Z

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 475fc667-43c1-4c9c-8597-4d10b7c8f312 · inbound

How Sequence-to-Sequence Models Perceive Language Styles? cites this paper.

How Sequence-to-Sequence Models Perceive Language Styles? Demystifying Neural Style Transfer

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-14T13:05:23.989332Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T13:05:23.989332Z digest=sha256:0a43795f62287176f4c360bab5a1bde1b7ac8e0d64e414cf5afd94baa76451d6

Observation 0cdae931-e000-46cc-a8d7-8bd06bddf059 · inbound

STaDA: Style Transfer as Data Augmentation cites this paper.

STaDA: Style Transfer as Data Augmentation Demystifying Neural Style Transfer

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-14T05:30:19.286553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T05:30:19.286553Z digest=sha256:80cded53b204141c4686bebada90d98b1a542c306e69a71f8ae68091ae406f95

Observation b22f05f1-fe56-46aa-b6d4-45817e3701fe · inbound

Demystifying Brain Tumour Segmentation Networks: Interpretability and Uncertainty Analysis cites this paper.

Demystifying Brain Tumour Segmentation Networks: Interpretability and Uncertainty Analysis Demystifying Neural Style Transfer

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-14T05:19:26.916254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T05:19:26.916254Z digest=sha256:80d5c0ad4509e0edaebe85baf87f66df388ac0c997efc71a573091e88f6cbd0d

Observation 55aab1ba-9942-4dfd-a0a3-c8ae71a40609 · inbound

Recognizing Artistic Style of Archaeological Image Fragments Using Deep Style Extrapolation cites this paper.

Recognizing Artistic Style of Archaeological Image Fragments Using Deep Style Extrapolation Demystifying Neural Style Transfer

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-10T22:44:51.339040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:44:51.339040Z digest=sha256:d91dd6bc349e0dba598c845d3d0671a9a1fdac883d648592247c9e43f2d78812

Observation 9a41bf25-4900-4315-8643-40b33e709aec · inbound

Contrastive Desensitization Learning for Cross Domain Face Forgery Detection cites this paper.

Contrastive Desensitization Learning for Cross Domain Face Forgery Detection Demystifying Neural Style Transfer

Reference 23

Resolution
verified exact
local_arxiv, observed 2026-08-07T13:56:27.680433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-07T13:56:23.619589Z digest=sha256:a6048e7a3a6f04780eb438e0af9e093d0535d0d0cd747abca74065afcfeeff64