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Paper Citation Record · LEDGER

A Convolutional LSTM based Residual Network for Deepfake Video Detection

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2009.07480.

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

pith.paper-citation-record.v1
2009.07480 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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:32:23.899685Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T22:03:46.914144Z

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 937b0de3-27b7-4ea1-9f59-2980f829aca6 · inbound

LLMs Are Not Yet Ready for Deepfake Image Detection cites this paper.

LLMs Are Not Yet Ready for Deepfake Image Detection A Convolutional LSTM based Residual Network for Deepfake Video Detection

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-07T04:32:23.899685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:32:23.899685Z digest=sha256:69fb23a98e9b29787390b6bcdc34f05c14cfb6067defb24337b48e80d45c8a3c

Observation ac95d8a9-80c7-4bf0-89ce-a91205d3cb71 · inbound

From Prediction to Explanation: Multimodal, Explainable, and Interactive Deepfake Detection Framework for Non-Expert Users cites this paper.

From Prediction to Explanation: Multimodal, Explainable, and Interactive Deepfake Detection Framework for Non-Expert Users A Convolutional LSTM based Residual Network for Deepfake Video Detection

Reference 76

Resolution
verified exact
local_arxiv, observed 2026-08-05T22:03:46.919247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T22:03:46.341741Z digest=sha256:3e4ebcf606da30d16d112877da1956aaebe0522711d510c69afc0b58326e192c