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Paper Citation Record · LEDGER

DIAGNOSIS: Detecting Unauthorized Data Usages in Text-to-image Diffusion Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2307.03108.

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

pith.paper-citation-record.v1
2307.03108 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:44:34.126275Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T05:45:18.533167Z

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 a9085dc4-40c6-4281-b7f1-89f0f1599292 · inbound

From Imitation to Innovation: The Emergence of AI Unique Artistic Styles and the Challenge of Copyright Protection cites this paper.

From Imitation to Innovation: The Emergence of AI Unique Artistic Styles and the Challenge of Copyright Protection DIAGNOSIS: Detecting Unauthorized Data Usages in Text-to-image Diffusion Models

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-06T19:44:34.126275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:44:34.126275Z digest=sha256:4695fe02480ced3f653285d70b53fb7ecb13dc02a96bbb7de1d07420a8030773

Observation bef40a39-da14-4c36-b216-344ad1de07b8 · inbound

StyleSentinel: Reliable Artistic Copyright Verification via Stylistic Fingerprints cites this paper.

StyleSentinel: Reliable Artistic Copyright Verification via Stylistic Fingerprints DIAGNOSIS: Detecting Unauthorized Data Usages in Text-to-image Diffusion Models

Reference 33

Resolution
verified exact
local_arxiv, observed 2026-08-06T05:45:18.575509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T05:45:17.840672Z digest=sha256:2beacb03b0c698fbe459093ef089a1fee4d6778b242498a647552df025f077b9