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Paper Citation Record · LEDGER

A Lightweight and Interpretable Deepfakes Detection Framework

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2501.11927.

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

pith.paper-citation-record.v1
2501.11927 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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:34:42.154371Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T16:34:46.190766Z

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 f461e510-5dd2-4002-9e58-6f0dc8f5b0ba · inbound

SHIELD: A Secure and Highly Enhanced Integrated Learning for Robust Deepfake Detection against Adversarial Attacks cites this paper.

SHIELD: A Secure and Highly Enhanced Integrated Learning for Robust Deepfake Detection against Adversarial Attacks A Lightweight and Interpretable Deepfakes Detection Framework

Reference 3

Resolution
verified exact
local_arxiv, observed 2026-08-06T16:34:46.242901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T16:34:42.154371Z digest=sha256:749442de72be4925bdd28404b01544d3d17ccc64f92dfbedf29ac14db1ca89a0

Observation 6dc58bcb-0f88-4a24-884c-a2bed0160d2b · inbound

Uncertainty-Aware Deepfake Detection via Multi-View Structural Learning cites this paper.

Uncertainty-Aware Deepfake Detection via Multi-View Structural Learning A Lightweight and Interpretable Deepfakes Detection Framework

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-03T00:29:27.878702Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T00:29:27.878702Z digest=sha256:5a54dd87a7ad89a4cbe61a09d6fcc867319d88e28913b1fc0da3dee62bc1aa5a