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Paper Citation Record · LEDGER

Ensemble-Based Deepfake Detection using State-of-the-Art Models with Robust Cross-Dataset Generalisation

As of 8 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2507.05996.

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

pith.paper-citation-record.v1
2507.05996 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:15:57.484222Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

15 of 15 outbound references displayed

  • verified exact1
  • verified fuzzy4
  • unresolved10
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ef800b58-258c-43e9-91f8-878f0be0d8bd · outbound

This paper cites Deepfakes: Deceptions, mitigations, and opportunities,.

Ensemble-Based Deepfake Detection using State-of-the-Art Models with Robust Cross-Dataset Generalisation Deepfakes: Deceptions, mitigations, and opportunities,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:15:58.628391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:15:56.147024Z digest=sha256:534c3c06c4ec8d00c3510ca2f84664765e065f4cb0397fb64bae43904bfbaa40

Observation e5c51fca-4c7a-4821-ba31-6b1c07e0c888 · outbound

This paper cites Unmasking deepfakes: A systematic review of deepfake detection and generation techniques using artificial intelligence,.

Ensemble-Based Deepfake Detection using State-of-the-Art Models with Robust Cross-Dataset Generalisation Unmasking deepfakes: A systematic review of deepfake detection and generation techniques using artificial intelligence,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:15:58.440248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:15:56.236247Z digest=sha256:fa31a855f21153ad7abd507538da1f99351f38e8df021ddaf4e3f3f445c46601

Observation 795aa029-d8b2-426b-846a-c2223c032143 · outbound

This paper cites The Cat and Mouse Game: The Ongoing Arms Race Between Diffusion Models and Detection Methods.

Ensemble-Based Deepfake Detection using State-of-the-Art Models with Robust Cross-Dataset Generalisation The Cat and Mouse Game: The Ongoing Arms Race Between Diffusion Models and Detection Methods

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-06T19:15:56.312329Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:15:56.312329Z digest=sha256:635f3149a48a8498dfe6b1a6665d9dde7392bc9d83fa989f4d75e7c990b1a5de

Observation 65a9667d-ed05-4258-b3bb-47162d1966ed · outbound

This paper cites Deepfake generation and detection: A benchmark and survey,.

Ensemble-Based Deepfake Detection using State-of-the-Art Models with Robust Cross-Dataset Generalisation Deepfake generation and detection: A benchmark and survey,

Reference 4

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unresolved
no resolver link, observed 2026-08-06T19:15:56.376597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:15:56.376597Z digest=sha256:efbaa58bd21d236c016d1555e7df0469b1fdb143538b858e50677b03dba5a60d

Observation 1d0e947f-9ecd-47c9-b34b-6bb87d21b61c · outbound

This paper cites DeepfakeBench: A Comprehensive Benchmark of Deepfake Detection.

Ensemble-Based Deepfake Detection using State-of-the-Art Models with Robust Cross-Dataset Generalisation DeepfakeBench: A Comprehensive Benchmark of Deepfake Detection

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-06T19:15:56.458455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:15:56.458455Z digest=sha256:b090fbcbdf9fece90f7e15e2ff4d1fb36c542256e8988c0775406041509347a9

Observation 4970f777-1991-4a0a-b4f3-9330efa0ce22 · outbound

This paper cites Mesonet: a compact facial video forgery detection network,.

Ensemble-Based Deepfake Detection using State-of-the-Art Models with Robust Cross-Dataset Generalisation Mesonet: a compact facial video forgery detection network,

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-06T19:15:56.538491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:15:56.538491Z digest=sha256:d08448e87edc34c41211560b78996654d2e394b969f86b7f634b0d1933b338eb

Observation e64f754f-7653-408c-a758-b047eb8fa49e · outbound

This paper cites Faceforensics++: Learning to detect manipulated facial images,.

Ensemble-Based Deepfake Detection using State-of-the-Art Models with Robust Cross-Dataset Generalisation Faceforensics++: Learning to detect manipulated facial images,

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-06T19:15:56.612826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:15:56.612826Z digest=sha256:d73d077b99ded9ef3cd4df6adce09518888e55dd5eba90e52ccaa172448447ec

Observation e68e6e9d-cd67-4229-b857-cf3a5cb71018 · outbound

This paper cites Core: Consistent representation learning for face forgery detection,.

Ensemble-Based Deepfake Detection using State-of-the-Art Models with Robust Cross-Dataset Generalisation Core: Consistent representation learning for face forgery detection,

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-06T19:15:56.686840Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:15:56.686840Z digest=sha256:75b610cd0ccf28b260e14229b2228ed1d6984bc0b10f606285c9d66b8b4e1f3c

Observation a9971957-5377-4db0-aa57-0a4a965ca576 · outbound

This paper cites On the detection of digital face manipulation,.

Ensemble-Based Deepfake Detection using State-of-the-Art Models with Robust Cross-Dataset Generalisation On the detection of digital face manipulation,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:15:58.234952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:15:56.801342Z digest=sha256:b10be3fb1362633161debf6f7e9d7a881444fc568fba32d509601eaf9eb3f2d5

Observation 8fec832c-ffc8-4f5b-878f-aee303ba978d · outbound

This paper cites Generalizing face forgery detec- tion with high-frequency features,.

Ensemble-Based Deepfake Detection using State-of-the-Art Models with Robust Cross-Dataset Generalisation Generalizing face forgery detec- tion with high-frequency features,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:15:58.110464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:15:56.952456Z digest=sha256:c54f979642188e18b98ad2448237b1c9a50258e41692366a8ac14130a732fbe6

Observation 8e38e556-16f7-4e02-ad46-09e8c68f7f18 · outbound

This paper cites Ucf: Uncovering common features for generalizable deepfake detection,.

Ensemble-Based Deepfake Detection using State-of-the-Art Models with Robust Cross-Dataset Generalisation Ucf: Uncovering common features for generalizable deepfake detection,

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-06T19:15:57.080613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:15:57.080613Z digest=sha256:a00b78f57401a76e3ddf6c4e607311fa5b9de3a3dbe3ad4cf8a14282800682b7

Observation 24a8d08f-5566-4965-ab8b-f59eab699ecf · outbound

This paper cites The Empirical Impact of Reducing Symmetries on the Performance of Deep Ensembles and MoE.

Ensemble-Based Deepfake Detection using State-of-the-Art Models with Robust Cross-Dataset Generalisation The Empirical Impact of Reducing Symmetries on the Performance of Deep Ensembles and MoE

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-08-06T19:15:57.675651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:15:57.206712Z digest=sha256:eaf8fbee01245e4ddeec3b72dbe448a601e6ff56b70faa5caa511b38b750bf77

Observation f25617f1-4fc0-4f80-9d27-fb0b8ead7fe3 · outbound

This paper cites Face2face: Real-time face capture and reenactment of rgb videos,.

Ensemble-Based Deepfake Detection using State-of-the-Art Models with Robust Cross-Dataset Generalisation Face2face: Real-time face capture and reenactment of rgb videos,

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-06T19:15:57.332051Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:15:57.332051Z digest=sha256:6cbfb8286b88662877003e35ece2824429a0b08f387320446dcb9928d7a69479

Observation a3b2f516-2df6-4559-add5-8de5163baa63 · outbound

This paper cites Deferred neural rendering: Image synthesis using neural textures,.

Ensemble-Based Deepfake Detection using State-of-the-Art Models with Robust Cross-Dataset Generalisation Deferred neural rendering: Image synthesis using neural textures,

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T19:15:57.414836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:15:57.414836Z digest=sha256:684110a3c97f4b006ccce41b77ca6425dd6b20b0f4818db2c7af1c0e9ab81005

Observation 88e851f4-3581-4dfd-8f5f-303aa92585db · outbound

This paper cites Dlib-ml: A machine learning toolkit,.

Ensemble-Based Deepfake Detection using State-of-the-Art Models with Robust Cross-Dataset Generalisation Dlib-ml: A machine learning toolkit,

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-06T19:15:57.484222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:15:57.484222Z digest=sha256:40cd3b36c963fb701a47b355346e272e075a3df9e30640c6922911ea9b957209

Pith citing papers

No inbound Pith citation observations are available.