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Paper Citation Record · LEDGER

A Lightweight and Interpretable Deepfakes Detection Framework

As of 14 August 2026, this Paper Citation Record lists 22 of 22 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 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T17:47:42.280117Z

measured 24 of 24 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 2026-08-06T16:34:42.154371Z

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

22 of 22 outbound references displayed

  • verified exact1
  • verified fuzzy10
  • unresolved10
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c545801b-f811-4ce4-8ede-84cd83d95f8a · outbound

This paper cites Reface App.

A Lightweight and Interpretable Deepfakes Detection Framework Reface App

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:47:42.638246Z

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.

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Observation 8ce96e42-188d-44e3-b902-f3d836aa7edf · outbound

This paper cites an unresolved cited work.

A Lightweight and Interpretable Deepfakes Detection Framework Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-10T17:47:42.623662Z

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=2026-08-10T17:47:42.184028Z digest=sha256:6612ed9810777245e7a64e30c554ea966c0e474d67a5f959743b8ee1bfc7a0a5

Observation f23fc338-f249-4f83-80a3-19d7b9a7435b · outbound

This paper cites an unresolved cited work.

A Lightweight and Interpretable Deepfakes Detection Framework Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-10T17:47:42.609927Z

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=2026-08-10T17:47:42.189387Z digest=sha256:2f68ffd045dd32372fade9a21a30f1adde27a2a70b289096b4ae7d0356d1aaca

Observation 8ceb4cf1-e8f1-4050-b716-11f9288ebce2 · outbound

This paper cites Deepfakes Generation and Detection: State-of-the-art, open challenges, countermeasures, and way forward.

A Lightweight and Interpretable Deepfakes Detection Framework Deepfakes Generation and Detection: State-of-the-art, open challenges, countermeasures, and way forward

Reference 4

Resolution
metadata mismatch
local_arxiv, observed 2026-08-10T17:47:42.362260Z

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=2026-08-10T17:47:42.194172Z digest=sha256:535540abab847f7e57350010d070f0286e31d3a9857090ca0fb0ea493a027b35

Observation cb1f7b50-ca9d-491b-84b3-c5936b79b5b3 · outbound

This paper cites an unresolved cited work.

A Lightweight and Interpretable Deepfakes Detection Framework Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-10T17:47:42.596425Z

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=2026-08-10T17:47:42.199269Z digest=sha256:920299085b2ffc747a4dd3d5a89be50939f8c13834af556e24c4f5beeee52d40

Observation 631e0324-1db4-42c6-b58f-beb59032310e · outbound

This paper cites Riess, and M.

A Lightweight and Interpretable Deepfakes Detection Framework Riess, and M

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:47:42.582426Z

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=2026-08-10T17:47:42.204387Z digest=sha256:7604a595f0fbd56f293ce7de0b290d0b7c29f1528d73340b4e168160c01ab395

Observation 3b05e978-163e-461e-bd17-b8d10aca3e01 · outbound

This paper cites Exposing DeepFake Videos By Detecting Face Warping Artifacts.

A Lightweight and Interpretable Deepfakes Detection Framework Exposing DeepFake Videos By Detecting Face Warping Artifacts

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-10T17:47:42.209590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:47:42.209590Z digest=sha256:daa2627fb0c4e953c7ea821b5fa9f82543b7a2b9945361ae52ed0bf5981d41f0

Observation 95518647-e3ec-45e7-8164-5688888332a2 · outbound

This paper cites Protecting World Leaders Against Deep Fakes.

A Lightweight and Interpretable Deepfakes Detection Framework Protecting World Leaders Against Deep Fakes

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:47:42.568345Z

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=2026-08-10T17:47:42.214221Z digest=sha256:e63b2896aeaf1b79aa782a42fb182a345e74f89f6466c3f6928f91c3e6523015

Observation 7ea06d19-27d4-4584-937b-c356777f3c47 · outbound

This paper cites an unresolved cited work.

A Lightweight and Interpretable Deepfakes Detection Framework Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-10T17:47:42.554002Z

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=2026-08-10T17:47:42.219098Z digest=sha256:e4396f3fd7926222cc861e24c772197edfc5fc36129c28bb2b9edfb5edcc243c

Observation af00652a-1e2e-47f7-be3c-4a7454b96360 · outbound

This paper cites an unresolved cited work.

A Lightweight and Interpretable Deepfakes Detection Framework Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-10T17:47:42.539513Z

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=2026-08-10T17:47:42.223700Z digest=sha256:74d651ce7f91138447c734fa1bb653d12920899391f29fdbb4fce16ab7240a6e

Observation 474bf6a4-36fa-4737-8c93-f3530ab09536 · outbound

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

A Lightweight and Interpretable Deepfakes Detection Framework Mesonet: a compact facial video forgery detection network

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:47:42.524069Z

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=2026-08-10T17:47:42.228182Z digest=sha256:f2976dfc737cc54132c1e5c6856c519951d3d6444864b4e1645493f1af31924f

Observation b4b0418b-9a83-4622-ad58-cfbfc58836f2 · outbound

This paper cites Yamagishi, and I.

A Lightweight and Interpretable Deepfakes Detection Framework Yamagishi, and I

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:47:42.509168Z

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=2026-08-10T17:47:42.232717Z digest=sha256:c68b47e94d1804a8c87331854a96e6c0fdf1905d30ef05fe20f2154e5ef5cbfe

Observation 75cd2636-fb78-4f36-9df8-566520bc5d8d · outbound

This paper cites Interfaces (GUI), 2019.

A Lightweight and Interpretable Deepfakes Detection Framework Interfaces (GUI), 2019

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:47:42.494242Z

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=2026-08-10T17:47:42.237153Z digest=sha256:c622480e0f8816986f3ae1fd4f236faa4f0e43f94d68778ec52085466d979f40

Observation 7f71c156-1381-4e49-a874-467d299c8b12 · outbound

This paper cites Attributing Fake Images to GANs: Learning and Analyzing GAN Fingerprints.

A Lightweight and Interpretable Deepfakes Detection Framework Attributing Fake Images to GANs: Learning and Analyzing GAN Fingerprints

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-08-10T17:47:42.324338Z

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=2026-08-10T17:47:42.242068Z digest=sha256:747c1a5c65640e90e229b33ae17448c61a5ccc5f329bcfff63d2242e26f98050

Observation a375bf21-41d9-448d-bf40-6576624b3f87 · outbound

This paper cites an unresolved cited work.

A Lightweight and Interpretable Deepfakes Detection Framework Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-10T17:47:42.478964Z

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=2026-08-10T17:47:42.247287Z digest=sha256:19122b76573917e4adf6b2c84547f31e967523057f889a58475cf0472136378c

Observation 2bbb0f72-ea3e-4f96-8c88-7ae7c1347a6e · outbound

This paper cites Openface 2.0: Facial behavior analysis toolkit.

A Lightweight and Interpretable Deepfakes Detection Framework Openface 2.0: Facial behavior analysis toolkit

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:47:42.462118Z

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=2026-08-10T17:47:42.251894Z digest=sha256:f7493ac086c154186e9feeac65d4463c7daa4f0457e5d3a3d17dfbd6bb35ff54

Observation 24bb64d7-5a06-458f-aede-13d3245319e9 · outbound

This paper cites an unresolved cited work.

A Lightweight and Interpretable Deepfakes Detection Framework Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-08-10T17:47:42.447200Z

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=2026-08-10T17:47:42.256706Z digest=sha256:d19cbd5d06fdb9f25370e904d869314caa3ea95f3cca826fffcb3b8072481b5d

Observation 50515c3e-05b1-40e7-8dd9-4ee7a7eb74ed · outbound

This paper cites A., Demir, I., & Yin, L.

A Lightweight and Interpretable Deepfakes Detection Framework A., Demir, I., & Yin, L

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:47:42.432108Z

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=2026-08-10T17:47:42.261317Z digest=sha256:defcf1aaa6229ccd0909cb493121b6d2ae16191a12d77ae554643924599c1c5b

Observation 386dbf9c-0a1b-45ef-b46f-7e94a4463481 · outbound

This paper cites D., Mandelli, S., Bondi, L., Bestagini, P., & Tubaro, S.

A Lightweight and Interpretable Deepfakes Detection Framework D., Mandelli, S., Bondi, L., Bestagini, P., & Tubaro, S

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:47:42.417671Z

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=2026-08-10T17:47:42.266003Z digest=sha256:09f1af5e133d5314e7fc06a33a60dad0df356651e005fe87df4baa90ccce261c

Observation 74168aa5-8216-4208-a2eb-0505219f91be · outbound

This paper cites M., Hao, H., Yarlagadda, S.

A Lightweight and Interpretable Deepfakes Detection Framework M., Hao, H., Yarlagadda, S

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:47:42.402809Z

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=2026-08-10T17:47:42.270721Z digest=sha256:5f8cb8ccccbdb204a8e4b04e9f62364f8573bf0064a0fad4bc06e0dcb0ebbb8d

Observation 128d2a9d-f486-4827-a101-942746d85107 · outbound

This paper cites (2016, August).

A Lightweight and Interpretable Deepfakes Detection Framework (2016, August)

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-10T17:47:42.275340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:47:42.275340Z digest=sha256:e98a3941615f98fc8868e7a055882fffdac7f97adc688c76f4df34a0ebf7f915

Observation 7ae6c6e2-9651-4035-a425-1ca624674466 · outbound

This paper cites an unresolved cited work.

A Lightweight and Interpretable Deepfakes Detection Framework Unresolved cited work

Reference 22

Resolution
unresolved
raw_fallback, observed 2026-08-10T17:47:42.377918Z

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=2026-08-10T17:47:42.280117Z digest=sha256:ad8199a4156122bf5f43e42f1000819cb5320fc693a08f5c26d3cdd16b4fe2f1

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T16:34:42.154371Z digest=sha256:3c2848e04aa89bedc4dde73a0e27ac982181e565cb32918cd3c70e6c6307542a

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:a375e3cb25de3ddd8091e9f8fbaf8c90084447348958b9fea779d420fab5f4dd