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Paper Citation Record · LEDGER

AI-Face: A Million-Scale Demographically Annotated AI-Generated Face Dataset and Fairness Benchmark

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2406.00783.

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

pith.paper-citation-record.v1
2406.00783 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T23:31:17.854793Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-09T07:36:04.455849Z

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 b22bbf85-b1d1-45dc-a459-e02e20f8e0c9 · inbound

OODFace: Benchmarking Robustness of Face Recognition under Common Corruptions and Appearance Variations cites this paper.

OODFace: Benchmarking Robustness of Face Recognition under Common Corruptions and Appearance Variations AI-Face: A Million-Scale Demographically Annotated AI-Generated Face Dataset and Fairness Benchmark

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-11T23:31:17.854793Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:31:17.854793Z digest=sha256:8fe0bf87bb69fc3454e12c3cff29f8225f429ed7aa53d9b3af598b4746b9b97c

Observation f49fa2cb-d128-49b8-94bb-7c4990c85646 · inbound

Rethinking Individual Fairness in Deepfake Detection cites this paper.

Rethinking Individual Fairness in Deepfake Detection AI-Face: A Million-Scale Demographically Annotated AI-Generated Face Dataset and Fairness Benchmark

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-06T16:12:08.310627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:12:08.310627Z digest=sha256:3b57b8ac173a7178e5efe5a4fa008efefa19ef2691b3a5f802f3eb5a004ff4ac

Observation 444f857e-ba90-485c-a2b7-6da57c5add3c · inbound

Face-Trace: Open-Set Attribution and Progressive Discovery of Synthetic Face Generators cites this paper.

Face-Trace: Open-Set Attribution and Progressive Discovery of Synthetic Face Generators AI-Face: A Million-Scale Demographically Annotated AI-Generated Face Dataset and Fairness Benchmark

Reference 35

Resolution
verified exact
local_arxiv, observed 2026-07-09T07:36:04.460400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-09T07:32:47.178175Z digest=sha256:2ad383355fc516d9d2a1351f36f4c0e0a215b17de81b2312577941543cfe8e39

Observation 6ec85962-4d7d-4bf9-933b-d8f0dc8e34d6 · inbound

Face-Trace: Open-Set Attribution and Progressive Discovery of Synthetic Face Generators cites this paper.

Face-Trace: Open-Set Attribution and Progressive Discovery of Synthetic Face Generators AI-Face: A Million-Scale Demographically Annotated AI-Generated Face Dataset and Fairness Benchmark

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-02T08:04:22.889222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T08:04:22.889222Z digest=sha256:8d3c8656aaec88e74332ed713ffa60ba0ca6cbce79f8a0c3d979b4c5efef2e0f