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Paper Citation Record · LEDGER

HFMF: Hierarchical Fusion Meets Multi-Stream Models for Deepfake Detection

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2501.05631.

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

pith.paper-citation-record.v1
2501.05631 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 2026-08-14T06:32:32.682623+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:34:11.466919Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T13:13:18.719330Z

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 743a596f-ac30-45c7-bf6a-70fb0a9d2d0e · inbound

Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems cites this paper.

Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems HFMF: Hierarchical Fusion Meets Multi-Stream Models for Deepfake Detection

Reference 254

Resolution
unresolved
no resolver link, observed 2026-08-06T14:34:11.466919Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:34:11.466919Z digest=sha256:692ccfc9a5c9b0d4d7d5e3a4dcab00af9d1d3cd76e9a42644ffd525b194d1a27

Observation 083b51b7-56b9-4d2a-a46e-df0dd40ef7ee · inbound

Deepfake Detection in Social Media: A Temporal Artifact Analysis Using 3D Convolutional Neural Networks cites this paper.

Deepfake Detection in Social Media: A Temporal Artifact Analysis Using 3D Convolutional Neural Networks HFMF: Hierarchical Fusion Meets Multi-Stream Models for Deepfake Detection

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-20T13:13:18.721132Z

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=pdf_text observed=2026-05-20T13:08:29.414406Z digest=sha256:1790c0e54406e97afe334eb628c83f2d0c1676060ed022533a628589c9935317