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Paper Citation Record · LEDGER

A Quality-Centric Framework for Generic Deepfake Detection

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2411.05335.

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

pith.paper-citation-record.v1
2411.05335 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T21:12:23.155930Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T09:54:05.692857Z

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 a700a11d-0428-4bf2-bb92-8f30b132256d · inbound

Survey on AI-Generated Media Detection: From Non-MLLM to MLLM cites this paper.

Survey on AI-Generated Media Detection: From Non-MLLM to MLLM A Quality-Centric Framework for Generic Deepfake Detection

Reference 172

Resolution
unresolved
no resolver link, observed 2026-08-08T21:12:23.155930Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T21:12:23.155930Z digest=sha256:6bda33fa035ef5113183ccbdbf3332120ac97285bfec69ebf3b188cbea6407bc

Observation c6929256-a144-4adf-9d07-a8539d2b3666 · 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 A Quality-Centric Framework for Generic Deepfake Detection

Reference 101

Resolution
unresolved
no resolver link, observed 2026-08-06T14:34:10.876535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:34:10.876535Z digest=sha256:5a25694eaa3b066e6b9c28dabf14e0ab9964e1767284b7e5b25b970b59b1f482

Observation 5d6d3562-af7e-416a-a06a-c74b012aaaac · inbound

Tutor-Student Reinforcement Learning: A Dynamic Curriculum for Robust Deepfake Detection cites this paper.

Tutor-Student Reinforcement Learning: A Dynamic Curriculum for Robust Deepfake Detection A Quality-Centric Framework for Generic Deepfake Detection

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-21T09:54:05.695117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-21T09:51:05.165544Z digest=sha256:a9acc419f990d371208fb75a0a4c78f613419d3269ce4f64eba810c46ac460a9

Observation c26fbf4b-5135-450a-818d-20b650e0c865 · inbound

Quality-Aware Calibration for AI-Generated Image Detection in the Wild cites this paper.

Quality-Aware Calibration for AI-Generated Image Detection in the Wild A Quality-Centric Framework for Generic Deepfake Detection

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-10T11:05:08.767503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-10T11:02:10.096034Z digest=sha256:38383ce21d33256036006de26eb83ae3d5076f23a7d0c1557081de22d81144b3

Observation 637d376e-4b58-4a6d-8ae9-2331efcac4cf · inbound

Detecting AI-Generated Video: A Vision-Language Dual-View Survey cites this paper.

Detecting AI-Generated Video: A Vision-Language Dual-View Survey A Quality-Centric Framework for Generic Deepfake Detection

Reference 99

Resolution
unresolved
no resolver link, observed 2026-07-14T09:16:37.881212Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-14T09:16:37.881212Z digest=sha256:4f9b5b6a6c380b21e93f09afdea95c593dc3545d8fe2e7bdfe07966982a045a2