Paper Citation Record · LEDGER

AntifakePrompt: Prompt-Tuned Vision-Language Models are Fake Image Detectors

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 20 inbound Pith citation observations for arXiv:2310.17419.

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

pith.paper-citation-record.v1
2310.17419 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 20 of 20 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 20 of 20 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:03:33.982717Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T14:35:46.449691Z

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 c523a372-2ba2-42c9-9aab-d74ee50acddf · inbound

Toward Generalizable Forgery Detection and Reasoning cites this paper.

Toward Generalizable Forgery Detection and Reasoning AntifakePrompt: Prompt-Tuned Vision-Language Models are Fake Image Detectors

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-05-22T22:27:12.427521Z

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.

Observation fbe60853-e146-4008-abaa-dbb3bd57ab4e · inbound

Multiverse Through Deepfakes: The MultiFakeVerse Dataset of Person-Centric Visual and Conceptual Manipulations cites this paper.

Multiverse Through Deepfakes: The MultiFakeVerse Dataset of Person-Centric Visual and Conceptual Manipulations AntifakePrompt: Prompt-Tuned Vision-Language Models are Fake Image Detectors

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T12:03:33.982717Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04d1b791-a7aa-4ad7-8782-e84bf583ae44 · inbound

AuthGuard: Generalizable Deepfake Detection via Language Guidance cites this paper.

AuthGuard: Generalizable Deepfake Detection via Language Guidance AntifakePrompt: Prompt-Tuned Vision-Language Models are Fake Image Detectors

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T10:45:46.669511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ac597b2-829e-4ef9-8e22-aced466b0b71 · inbound

Interpretable and Reliable Detection of AI-Generated Images via Grounded Reasoning in MLLMs cites this paper.

Interpretable and Reliable Detection of AI-Generated Images via Grounded Reasoning in MLLMs AntifakePrompt: Prompt-Tuned Vision-Language Models are Fake Image Detectors

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T05:48:47.230080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63e0b501-9567-4f46-bc13-e69e816f1a32 · inbound

LLMs Are Not Yet Ready for Deepfake Image Detection cites this paper.

LLMs Are Not Yet Ready for Deepfake Image Detection AntifakePrompt: Prompt-Tuned Vision-Language Models are Fake Image Detectors

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T04:32:25.312097Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62937a4d-2bd7-419b-8ebf-0be5525f27e2 · 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 AntifakePrompt: Prompt-Tuned Vision-Language Models are Fake Image Detectors

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T20:32:59.588251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4899c90d-8857-45b2-aa7f-b4b57d0f04a8 · 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 AntifakePrompt: Prompt-Tuned Vision-Language Models are Fake Image Detectors

Reference 160

Resolution: unresolved; no resolver link, observed 2026-08-06T14:34:11.106667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ee77696-f2aa-4b4a-83ea-38cea61ac296 · inbound

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

Visual Language Models as Zero-Shot Deepfake Detectors AntifakePrompt: Prompt-Tuned Vision-Language Models are Fake Image Detectors

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T11:45:25.699244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 043b4f5a-8eb2-43b1-900f-ba054de18900 · inbound

Locate-Then-Examine: Grounded Region Reasoning Improves Detection of AI-Generated Images cites this paper.

Locate-Then-Examine: Grounded Region Reasoning Improves Detection of AI-Generated Images AntifakePrompt: Prompt-Tuned Vision-Language Models are Fake Image Detectors

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-18T10:16:14.366948Z

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.

Observation 5844bdcf-5719-4db5-a075-3135e3f99e16 · 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 AntifakePrompt: Prompt-Tuned Vision-Language Models are Fake Image Detectors

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-18T02:05:38.989427Z

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.

Observation 22eb7b68-4f40-4a49-9bd4-b048606f3054 · inbound

SPARK-IL: Spectral Retrieval-Augmented RAG for Knowledge-driven Deepfake Detection via Incremental Learning cites this paper.

SPARK-IL: Spectral Retrieval-Augmented RAG for Knowledge-driven Deepfake Detection via Incremental Learning AntifakePrompt: Prompt-Tuned Vision-Language Models are Fake Image Detectors

Reference 4

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T17:03:01.251896Z

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.

Observation 0c416957-da9e-4181-aac5-958b3c16a8ff · inbound

UniGenDet: A Unified Generative-Discriminative Framework for Co-Evolutionary Image Generation and Generated Image Detection cites this paper.

UniGenDet: A Unified Generative-Discriminative Framework for Co-Evolutionary Image Generation and Generated Image Detection AntifakePrompt: Prompt-Tuned Vision-Language Models are Fake Image Detectors

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-09T22:44:15.256209Z

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.

Observation 908a68af-17cc-43fe-9b70-4dd1c61074ec · inbound

Omni-Fake: Benchmarking Unified Multimodal Social Media Deepfake Detection cites this paper.

Omni-Fake: Benchmarking Unified Multimodal Social Media Deepfake Detection AntifakePrompt: Prompt-Tuned Vision-Language Models are Fake Image Detectors

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-11T17:06:04.201669Z

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.

Observation a6eed517-c8f2-4d1e-b2d5-f000af2fe6d9 · inbound

Venus-DeFakerOne: Unified Fake Image Detection & Localization cites this paper.

Venus-DeFakerOne: Unified Fake Image Detection & Localization AntifakePrompt: Prompt-Tuned Vision-Language Models are Fake Image Detectors

Reference 10

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T05:29:46.847722Z

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.

Observation 3647cf85-31e0-426b-af34-d7149fad790a · 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 AntifakePrompt: Prompt-Tuned Vision-Language Models are Fake Image Detectors

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-07-01T14:35:46.451537Z

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.

Observation 0ce9e2a2-54a8-4ba1-95fa-32db96567533 · inbound

ReAlign: Generalizable Image Forgery Detection via Reasoning-Aligned Representation cites this paper.

ReAlign: Generalizable Image Forgery Detection via Reasoning-Aligned Representation AntifakePrompt: Prompt-Tuned Vision-Language Models are Fake Image Detectors

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-20T19:33:42.048010Z

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.

Observation c49e502f-9ec7-4405-bafc-0728ddb6193c · inbound

FakeVLM-R1: Internalizing Physical Laws via CoT for Synthetic Image Detection cites this paper.

FakeVLM-R1: Internalizing Physical Laws via CoT for Synthetic Image Detection AntifakePrompt: Prompt-Tuned Vision-Language Models are Fake Image Detectors

Reference 47

Resolution: verified exact; arxiv_id, observed 2026-06-29T08:03:14.104112Z

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.

Observation 29934041-8d1d-4c63-b7ef-32ca5c137523 · inbound

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

The Regularizing Power of Language-Training Deepfake Detectors AntifakePrompt: Prompt-Tuned Vision-Language Models are Fake Image Detectors

Reference 5

Resolution: metadata mismatch; arxiv_id, observed 2026-06-28T23:22:46.838057Z

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.

Observation 4cb83f19-8f97-4a0e-afc0-261e008f5d0d · inbound

GlobalForge: Towards Robust AI-Generated Image Detection cites this paper.

GlobalForge: Towards Robust AI-Generated Image Detection AntifakePrompt: Prompt-Tuned Vision-Language Models are Fake Image Detectors

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-02T01:26:28.619659Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 05a2ea32-8c40-4cff-a6ee-81e208d98b43 · inbound

Simple Domain Generalization for Strong Pixel-Level Image Tampering Detection in Modern VLMs cites this paper.

Simple Domain Generalization for Strong Pixel-Level Image Tampering Detection in Modern VLMs AntifakePrompt: Prompt-Tuned Vision-Language Models are Fake Image Detectors

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-01T15:40:20.720388Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.