Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Data-Independent Operator: A Training-Free Artifact Representation Extractor for Generalizable Deepfake Detection
As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2403.06803.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T11:32:25.204077Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-17T23:25:47.722197Z
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 5215bccb-a547-4cf5-af73-0e8934cfe3c7 · inbound
Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection cites this paper.
Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection Data-Independent Operator: A Training-Free Artifact Representation Extractor for Generalizable Deepfake Detection
Reference 81
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T23:25:47.725327Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 42a63f48-7a2a-4807-8458-dc8436e9e865 · inbound
Manifold Induced Biases for Zero-shot and Few-shot Detection of Generated Images cites this paper.
Manifold Induced Biases for Zero-shot and Few-shot Detection of Generated Images Data-Independent Operator: A Training-Free Artifact Representation Extractor for Generalizable Deepfake Detection
Reference 52
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T11:32:25.204077Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fd25b0cd-105e-46b3-b7f6-5470fc0a7dff · inbound
SEED: A Benchmark Dataset for Sequential Facial Attribute Editing with Diffusion Models cites this paper.
SEED: A Benchmark Dataset for Sequential Facial Attribute Editing with Diffusion Models Data-Independent Operator: A Training-Free Artifact Representation Extractor for Generalizable Deepfake Detection
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:06:39.511273Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c31dd7fe-a1fe-4a01-ac0b-16df9d6cfcc8 · 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 Data-Independent Operator: A Training-Free Artifact Representation Extractor for Generalizable Deepfake Detection
Reference 77
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T14:34:10.778078Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d3c57934-a847-4ffd-a275-56f95a2059e1 · inbound
ForenX: Towards Explainable AI-Generated Image Detection with Multimodal Large Language Models cites this paper.
ForenX: Towards Explainable AI-Generated Image Detection with Multimodal Large Language Models Data-Independent Operator: A Training-Free Artifact Representation Extractor for Generalizable Deepfake Detection
Reference 48
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T05:38:53.307668Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8bf36799-9247-4476-871c-a24c8bb44c5e · inbound
DeFakeQ: Enabling Real-Time Deepfake Detection on Edge Devices via Adaptive Bidirectional Quantization cites this paper.
DeFakeQ: Enabling Real-Time Deepfake Detection on Edge Devices via Adaptive Bidirectional Quantization Data-Independent Operator: A Training-Free Artifact Representation Extractor for Generalizable Deepfake Detection
Reference 4
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T08:25:58.569352Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.