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Paper Citation Record · LEDGER

FEAT: Face Editing with Attention

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2202.02713.

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

pith.paper-citation-record.v1
2202.02713 v1

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 2026-08-12T06:34:41.77262+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T19:50:35.395432Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T01:05:50.111571Z

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 df0aa7c5-9051-4081-b026-8e24125a0f53 · inbound

HAIFAI: Human-AI Interaction for Mental Face Reconstruction cites this paper.

HAIFAI: Human-AI Interaction for Mental Face Reconstruction FEAT: Face Editing with Attention

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-11T19:50:35.395432Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:50:35.395432Z digest=sha256:9922891e994a5f302c7daac49050faf3a97702e42357a10cbe66364edf61dc8b

Observation 9bc23837-c758-449c-a7ec-853505d02bce · inbound

FACEMUG: A Multimodal Generative and Fusion Framework for Local Facial Editing cites this paper.

FACEMUG: A Multimodal Generative and Fusion Framework for Local Facial Editing FEAT: Face Editing with Attention

Reference 81

Resolution
verified exact
local_arxiv, observed 2026-08-11T01:05:50.117318Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T01:05:50.002727Z digest=sha256:d3924cee6daae519862cf2895acb3e2c603407066d982ecefbae34a0f2585e9d