Paper Citation Record · LEDGER

Unlocking the Capabilities of Large Vision-Language Models for Generalizable and Explainable Deepfake Detection

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2503.14853.

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

pith.paper-citation-record.v1
2503.14853 v2

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 2026-08-17T06:30:58.91139+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:07:06.786084Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-28T23:22:46.806379Z

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 7cb1bacb-c7a5-4d3c-a4aa-4a01a8a1ce76 · inbound

MLLM-Enhanced Face Forgery Detection: A Vision-Language Fusion Solution cites this paper.

MLLM-Enhanced Face Forgery Detection: A Vision-Language Fusion Solution Unlocking the Capabilities of Large Vision-Language Models for Generalizable and Explainable Deepfake Detection

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-16T04:07:06.786084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d2e72a51-1de6-4d94-8d0f-e037f711f58c · 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 Unlocking the Capabilities of Large Vision-Language Models for Generalizable and Explainable Deepfake Detection

Reference 101

Resolution: unresolved; no resolver link, observed 2026-08-06T20:32:59.905613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d01dce29-ed10-45e4-be5c-6b0cb72875c6 · inbound

From Evidence to Verdict: An Agent-Based Forensic Framework for AI-Generated Image Detection cites this paper.

From Evidence to Verdict: An Agent-Based Forensic Framework for AI-Generated Image Detection Unlocking the Capabilities of Large Vision-Language Models for Generalizable and Explainable Deepfake Detection

Reference 55

Resolution: verified exact; arxiv_id, observed 2026-05-18T02:05:38.902360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 30892bb3-d165-426c-bde1-8c20812c00a8 · inbound

RA-Det: Towards Universal Detection of AI-Generated Images via Robustness Asymmetry cites this paper.

RA-Det: Towards Universal Detection of AI-Generated Images via Robustness Asymmetry Unlocking the Capabilities of Large Vision-Language Models for Generalizable and Explainable Deepfake Detection

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-02T19:39:17.303239Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 525fc262-69a9-4f41-855f-d0c9725607e4 · inbound

VRAG-DFD: Verifiable Retrieval-Augmentation for MLLM-based Deepfake Detection cites this paper.

VRAG-DFD: Verifiable Retrieval-Augmentation for MLLM-based Deepfake Detection Unlocking the Capabilities of Large Vision-Language Models for Generalizable and Explainable Deepfake Detection

Reference 52

Resolution: verified exact; arxiv_id, observed 2026-05-10T14:25:29.290095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e620d57c-fce3-4aa3-b0e9-263000d889d4 · inbound

Generalizable Face Forgery Detection via Separable Prompt Learning cites this paper.

Generalizable Face Forgery Detection via Separable Prompt Learning Unlocking the Capabilities of Large Vision-Language Models for Generalizable and Explainable Deepfake Detection

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-05-10T06:06:18.654841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0f5adfe4-e9a7-4e28-bc93-11bb8804e888 · inbound

ID-Eraser: Proactive Defense Against Face Swapping via Identity Perturbation cites this paper.

ID-Eraser: Proactive Defense Against Face Swapping via Identity Perturbation Unlocking the Capabilities of Large Vision-Language Models for Generalizable and Explainable Deepfake Detection

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-11T14:26:03.681444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a794fc16-d737-4c97-8959-076c5fd37cc9 · inbound

Enhancing Self-Supervised Talking Head Forgery Detection via a Training-Free Dual-System Framework cites this paper.

Enhancing Self-Supervised Talking Head Forgery Detection via a Training-Free Dual-System Framework Unlocking the Capabilities of Large Vision-Language Models for Generalizable and Explainable Deepfake Detection

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-05-12T10:51:30.382534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 64b73a97-9883-4f8a-8866-eda43afb385a · inbound

UniShield: Unified Face Attack Detection via KG-Informed Multimodal Reasoning cites this paper.

UniShield: Unified Face Attack Detection via KG-Informed Multimodal Reasoning Unlocking the Capabilities of Large Vision-Language Models for Generalizable and Explainable Deepfake Detection

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:26:24.374203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 643d9385-dba1-4407-8d61-7aa28b06bbb7 · inbound

The Regularizing Power of Language-Training Deepfake Detectors cites this paper.

The Regularizing Power of Language-Training Deepfake Detectors Unlocking the Capabilities of Large Vision-Language Models for Generalizable and Explainable Deepfake Detection

Reference 69

Resolution: metadata mismatch; arxiv_id, observed 2026-06-28T23:22:46.808503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.