Pith. sign in

Paper Citation Record · LEDGER

Towards the Detection of Diffusion Model Deepfakes

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2210.14571.

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

pith.paper-citation-record.v1
2210.14571 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 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 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:32:59.801516Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T15:45:48.508112Z

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 f6ac9256-87de-46f6-b910-57c11a07fcdb · inbound

AIGI-Holmes: Towards Explainable and Generalizable AI-Generated Image Detection via Multimodal Large Language Models cites this paper.

AIGI-Holmes: Towards Explainable and Generalizable AI-Generated Image Detection via Multimodal Large Language Models Towards the Detection of Diffusion Model Deepfakes

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-06T20:32:59.801516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:32:59.801516Z digest=sha256:3828c38d9aa2ae83a5bdbb10d6023dc719257b8208bc46b56490c1932dfe0612

Observation 38956f37-a09a-46af-b440-95f5eb60f2f2 · inbound

Evaluating Deepfake Detectors in the Wild cites this paper.

Evaluating Deepfake Detectors in the Wild Towards the Detection of Diffusion Model Deepfakes

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-06T12:20:11.919127Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T12:20:11.919127Z digest=sha256:d49d66f422dcb49ca5bd3df58df998fb23956ede23e5a0780bfa58c35e8befee

Observation ccdb35f6-3104-4fad-9ed3-3bf5dbd09092 · inbound

Visual Language Models as Zero-Shot Deepfake Detectors cites this paper.

Visual Language Models as Zero-Shot Deepfake Detectors Towards the Detection of Diffusion Model Deepfakes

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-06T11:45:26.801372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T11:45:26.801372Z digest=sha256:1188a3118e249609e143d619fcff734ce1ca5051f705affc8dc91dc681739ccf

Observation 894b9bb0-9e92-4238-b922-f96e75a2b805 · inbound

Deepfakes: we need to re-think the concept of "real" images cites this paper.

Deepfakes: we need to re-think the concept of "real" images Towards the Detection of Diffusion Model Deepfakes

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-18T14:32:40.055575Z

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=2026-05-18T14:29:34.898916Z digest=sha256:afa04a215b60ec51933d1854d00677f2660ca2108f40f6168bc47a8bcc4d1a49

Observation fe3e86a8-0e9f-4416-8759-40e13dfdb008 · inbound

SEED: A Large-Scale Benchmark for Provenance Tracing in Sequential Deepfake Facial Edits cites this paper.

SEED: A Large-Scale Benchmark for Provenance Tracing in Sequential Deepfake Facial Edits Towards the Detection of Diffusion Model Deepfakes

Reference 27

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T09:11:00.518156Z

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=2026-05-10T16:11:57.041467Z digest=sha256:72dd95f35704216846b513ea7f5674586df765aca403edd556a443d2af9ec7fe

Observation f70f218d-a2f4-4025-98ad-b4cf3d9a54a8 · inbound

Deepfake Detection Generalization with Diffusion Noise cites this paper.

Deepfake Detection Generalization with Diffusion Noise Towards the Detection of Diffusion Model Deepfakes

Reference 53

Resolution
verified exact
arxiv_id, observed 2026-05-10T11:25:19.691214Z

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=2026-05-10T11:22:31.988852Z digest=sha256:7434427f967f68fbbd248666a35d458e34bdca6dafefe29e31011d1315821391

Observation b1ad8f73-3264-4741-add2-bc584bcd963b · inbound

DVAR: Adversarial Multi-Agent Debate for Video Authenticity Detection cites this paper.

DVAR: Adversarial Multi-Agent Debate for Video Authenticity Detection Towards the Detection of Diffusion Model Deepfakes

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-10T07:52:13.652707Z

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=2026-05-10T07:51:04.580617Z digest=sha256:3cf29c702878eb84a6e399e4040684c133bcc45ca60419d3439728380ddd8a3d

Observation a4b56602-28f5-426d-86e2-cb25cd355dbc · inbound

Can Visual Mamba Improve AI-Generated Image Detection? An In-Depth Investigation cites this paper.

Can Visual Mamba Improve AI-Generated Image Detection? An In-Depth Investigation Towards the Detection of Diffusion Model Deepfakes

Reference 55

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T14:25:47.195054Z

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=2026-06-30T21:17:16.489486Z digest=sha256:b1a9b16c12db152bca2f43651dcd1c47c975a945bbb6ab63d35c9d351f89ffb2

Observation baba29ca-9780-4a09-a9a2-37d75c91f96f · inbound

Generative AI Literacy Training Improves Intelligence Analysts' Discrimination of Real and AI-Generated Images cites this paper.

Generative AI Literacy Training Improves Intelligence Analysts' Discrimination of Real and AI-Generated Images Towards the Detection of Diffusion Model Deepfakes

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-07-01T15:45:48.509443Z

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=2026-06-30T01:08:22.794058Z digest=sha256:967a608b01b8ca9497bed99ed2421d12a59083bcfcd220551c09f9a6271c8820

Observation daf2e024-4c0f-4b43-8da2-6ee0e75c5969 · inbound

Position: AI/ML Deepfake Research is Misaligned with AI-Generated Non-Consensual Intimate Imagery (AIG-NCII) cites this paper.

Position: AI/ML Deepfake Research is Misaligned with AI-Generated Non-Consensual Intimate Imagery (AIG-NCII) Towards the Detection of Diffusion Model Deepfakes

Reference 112

Resolution
unresolved
no resolver link, observed 2026-08-02T13:50:49.234555Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T13:50:49.234555Z digest=sha256:bb27c05baa15168dbe1bf86f63f58ff834ab17560187863cb05306557852302d