Code-in-the-Loop Forensics: Agentic Tool Use for Image Forgery Detection | Paper Citation Record

Observation d027e04a-cbfb-4604-902d-09f60cc3586e · outbound

This paper cites GPT-4 Technical Report.

Code-in-the-Loop Forensics: Agentic Tool Use for Image Forgery Detection GPT-4 Technical Report

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-03T15:38:26.888941Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f5845e4-1032-484a-ba95-6c2140a902cd · outbound

This paper cites Qwen2.5-VL Technical Report.

Code-in-the-Loop Forensics: Agentic Tool Use for Image Forgery Detection Qwen2.5-VL Technical Report

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-03T15:38:26.960900Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation adfaed21-e162-4f46-9cd8-e02afaa3e43d · outbound

This paper cites A deep learning approach to universal image manipulation detection using a new convolutional layer.

Code-in-the-Loop Forensics: Agentic Tool Use for Image Forgery Detection A deep learning approach to universal image manipulation detection using a new convolutional layer

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-03T15:38:27.050150Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc1a05ec-9e3c-4664-b3a9-6c41cb0ba795 · outbound

This paper cites an unresolved cited work.

Code-in-the-Loop Forensics: Agentic Tool Use for Image Forgery Detection Unresolved cited work

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-03T15:38:27.225115Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a889f4d5-80cf-4135-b291-cc0b734c6f04 · outbound

This paper cites Self-supervised learning of adversarial example: Towards good generalizations for deepfake detection.

Code-in-the-Loop Forensics: Agentic Tool Use for Image Forgery Detection Self-supervised learning of adversarial example: Towards good generalizations for deepfake detection

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-03T15:38:27.326298Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2452543-84d4-4721-a524-80427879ebc6 · outbound

This paper cites Image manipulation detection by multi-view multi-scale supervision.

Code-in-the-Loop Forensics: Agentic Tool Use for Image Forgery Detection Image manipulation detection by multi-view multi-scale supervision

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-03T15:38:27.467826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c5bf3b3-d322-40e4-a168-ef131b4da981 · outbound

This paper cites Nanobanana.https://aistudio.google.

Code-in-the-Loop Forensics: Agentic Tool Use for Image Forgery Detection Nanobanana.https://aistudio.google

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-03T15:38:27.544043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5970704-739e-4ccb-9eb3-abc57613ac79 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Code-in-the-Loop Forensics: Agentic Tool Use for Image Forgery Detection DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-03T15:38:27.608423Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5467d650-0614-47ff-b306-31e18608e122 · outbound

This paper cites Hierarchical fine-grained im- age forgery detection and localization.

Code-in-the-Loop Forensics: Agentic Tool Use for Image Forgery Detection Hierarchical fine-grained im- age forgery detection and localization

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-03T15:38:27.696940Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83bf9b1b-24a7-47f7-bc53-1111a8a34e38 · outbound

This paper cites Visual program- ming: Compositional visual reasoning without training.

Code-in-the-Loop Forensics: Agentic Tool Use for Image Forgery Detection Visual program- ming: Compositional visual reasoning without training

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-03T15:38:27.750518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9427f095-ee85-42cb-bc06-5afcb12bda1a · outbound

This paper cites Sida: Social media image deepfake detection, localization and explanation with large multimodal model,.

Code-in-the-Loop Forensics: Agentic Tool Use for Image Forgery Detection Sida: Social media image deepfake detection, localization and explanation with large multimodal model,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-03T15:38:27.803621Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f721daea-35ed-41b4-a7c3-054b49034026 · outbound

This paper cites So-Fake: Benchmarking and Explaining Social Media Image Forgery Detection.

Code-in-the-Loop Forensics: Agentic Tool Use for Image Forgery Detection So-Fake: Benchmarking and Explaining Social Media Image Forgery Detection

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-03T15:38:27.960723Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c0a0d7f-b402-4632-9809-047c2042a786 · outbound

This paper cites OpenAI o1 System Card.

Code-in-the-Loop Forensics: Agentic Tool Use for Image Forgery Detection OpenAI o1 System Card

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-03T15:38:28.120880Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4cf334a-a402-4928-901a-9cb4eb5f2e9c · outbound

This paper cites LEGION: Learning to Ground and Explain for Synthetic Image Detection.

Code-in-the-Loop Forensics: Agentic Tool Use for Image Forgery Detection LEGION: Learning to Ground and Explain for Synthetic Image Detection

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-03T15:38:28.246003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1e60d22-fee8-48e2-9493-6aab54319611 · outbound

This paper cites A style-based generator architecture for generative adversarial networks.

Code-in-the-Loop Forensics: Agentic Tool Use for Image Forgery Detection A style-based generator architecture for generative adversarial networks

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-03T15:38:28.341150Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d0ee4952-cf46-41b5-95de-fbac67103a89 · outbound

This paper cites Flux.https://github.com/ black-forest-labs/flux, 2024.

Code-in-the-Loop Forensics: Agentic Tool Use for Image Forgery Detection Flux.https://github.com/ black-forest-labs/flux, 2024

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-03T15:38:28.402241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2071e309-911d-41ff-96c9-109cbec6ea45 · outbound

This paper cites Fakescope: Large multimodal expert model for transparent ai-generated image forensics.

Code-in-the-Loop Forensics: Agentic Tool Use for Image Forgery Detection Fakescope: Large multimodal expert model for transparent ai-generated image forensics

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-03T15:38:28.476997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 53b3b0e4-7828-4b64-924d-ed6fc0280f6b · outbound

This paper cites Microsoft coco: Common objects in context.

Code-in-the-Loop Forensics: Agentic Tool Use for Image Forgery Detection Microsoft coco: Common objects in context

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-03T15:38:28.671635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e65d4a4-d5db-45cf-8b4f-cc2e70b19e99 · outbound

This paper cites Forgery-aware adaptive transformer for generalizable synthetic image detection.

Code-in-the-Loop Forensics: Agentic Tool Use for Image Forgery Detection Forgery-aware adaptive transformer for generalizable synthetic image detection

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-03T15:38:28.789880Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b6a7c86-d011-4e87-b282-0ab0892269d2 · outbound

This paper cites ForgeryGPT: A Multimodal LLM for Interpretable Image Forgery Detection and Localization.

Code-in-the-Loop Forensics: Agentic Tool Use for Image Forgery Detection ForgeryGPT: A Multimodal LLM for Interpretable Image Forgery Detection and Localization

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-03T15:38:28.855736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 32455aec-3231-4314-97be-d2455392be7a · outbound

This paper cites an unresolved cited work.

Code-in-the-Loop Forensics: Agentic Tool Use for Image Forgery Detection Unresolved cited work

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-03T15:38:28.905136Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2525a52f-b6e8-40ab-afff-3cafdedbf85a · outbound

This paper cites Visual Agentic Reinforcement Fine-Tuning.

Code-in-the-Loop Forensics: Agentic Tool Use for Image Forgery Detection Visual Agentic Reinforcement Fine-Tuning

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-03T15:38:29.010684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f6fd77e2-e4f7-400d-a27c-0662ed08e033 · outbound

This paper cites Gener- alizing face forgery detection with high-frequency features.

Code-in-the-Loop Forensics: Agentic Tool Use for Image Forgery Detection Gener- alizing face forgery detection with high-frequency features

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-03T15:38:29.057678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e306bd8c-8f7f-42dd-b43d-0c1dd52e6cdd · outbound

This paper cites Midourney.https://www.midjourney.

Code-in-the-Loop Forensics: Agentic Tool Use for Image Forgery Detection Midourney.https://www.midjourney

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-03T15:38:29.122576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e71c8d5c-69b6-4eeb-b179-d04b47c2560b · outbound

This paper cites Towards uni- versal fake image detectors that generalize across generative models.

Code-in-the-Loop Forensics: Agentic Tool Use for Image Forgery Detection Towards uni- versal fake image detectors that generalize across generative models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-03T15:38:29.187209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d923bd22-ce6c-47f7-80cd-23fdb02ae980 · outbound

This paper cites DALL·E 3.https://openai.com/dall-e,.

Code-in-the-Loop Forensics: Agentic Tool Use for Image Forgery Detection DALL·E 3.https://openai.com/dall-e,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-03T15:38:29.285918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0edfb18-3d24-41b7-b4f6-f414748a5125 · outbound

This paper cites Introducing gpt-4.1.https://openai.com/ index/gpt-4-1/, 2025.

Code-in-the-Loop Forensics: Agentic Tool Use for Image Forgery Detection Introducing gpt-4.1.https://openai.com/ index/gpt-4-1/, 2025

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-03T15:38:29.508211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e8f1e86-5523-4619-ab15-d8d999c0a8d4 · outbound

This paper cites Introducing gpt-5.https://openai.com/ introducing- gpt- 5/, 2025.

Code-in-the-Loop Forensics: Agentic Tool Use for Image Forgery Detection Introducing gpt-5.https://openai.com/ introducing- gpt- 5/, 2025

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-03T15:38:29.638288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 46ac0247-6c9d-43de-8e22-bf5b45e50f0e · outbound

This paper cites SDXL: improving latent diffusion mod- els for high-resolution image synthesis.

Code-in-the-Loop Forensics: Agentic Tool Use for Image Forgery Detection SDXL: improving latent diffusion mod- els for high-resolution image synthesis

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-03T15:38:29.713612Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce93115c-5150-42f7-b620-42b18d965a6e · outbound

This paper cites Exposing digital forgeries by detecting traces of resampling.IEEE Transactions on sig- nal processing, 53(2):758–767, 2005.

Code-in-the-Loop Forensics: Agentic Tool Use for Image Forgery Detection Exposing digital forgeries by detecting traces of resampling.IEEE Transactions on sig- nal processing, 53(2):758–767, 2005

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-03T15:38:29.837589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1bed6a0-899c-43e8-9c75-988309f30995 · outbound

This paper cites A principled design of image representation: Towards forensic tasks.IEEE Transactions on Pattern Anal- ysis and Machine Intelligence, 45(5):5337–5354, 2022.

Code-in-the-Loop Forensics: Agentic Tool Use for Image Forgery Detection A principled design of image representation: Towards forensic tasks.IEEE Transactions on Pattern Anal- ysis and Machine Intelligence, 45(5):5337–5354, 2022

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-03T15:38:29.938125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3257831c-6859-499b-b04a-94b153c666de · outbound

This paper cites Fully unsupervised deepfake video detec- tion via enhanced contrastive learning.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024.

Code-in-the-Loop Forensics: Agentic Tool Use for Image Forgery Detection Fully unsupervised deepfake video detec- tion via enhanced contrastive learning.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-03T15:38:30.021135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0aa057c4-4f18-4205-9080-bf1070bce450 · outbound

This paper cites To- wards jpeg-resistant image forgery detection and localization via self-supervised domain adaptation.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022.

Code-in-the-Loop Forensics: Agentic Tool Use for Image Forgery Detection To- wards jpeg-resistant image forgery detection and localization via self-supervised domain adaptation.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-03T15:38:30.154345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d92dc47e-cb38-40c7-bde0-53c012fb6d4e · outbound

This paper cites Detecting and grounding multi-modal media manip- ulation and beyond.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024.

Code-in-the-Loop Forensics: Agentic Tool Use for Image Forgery Detection Detecting and grounding multi-modal media manip- ulation and beyond.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-03T15:38:30.233654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d949eceb-d94e-4043-b655-c4fee32534d6 · outbound

This paper cites OpenThinkIMG: Learning to Think with Images via Visual Tool Reinforcement Learning.

Code-in-the-Loop Forensics: Agentic Tool Use for Image Forgery Detection OpenThinkIMG: Learning to Think with Images via Visual Tool Reinforcement Learning

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-03T15:38:30.295474Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b4995df2-f355-40b3-9aa1-2542ba9e19c2 · outbound

This paper cites Vipergpt: Visual inference via python execution for reasoning.

Code-in-the-Loop Forensics: Agentic Tool Use for Image Forgery Detection Vipergpt: Visual inference via python execution for reasoning

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-03T15:38:30.361921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 652b7596-c164-4e5d-a43f-9925fae25ed3 · outbound

This paper cites Learning on gradients: Generalized arti- facts representation for gan-generated images detection.

Code-in-the-Loop Forensics: Agentic Tool Use for Image Forgery Detection Learning on gradients: Generalized arti- facts representation for gan-generated images detection

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-03T15:38:30.418564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5bb8c3de-618e-4ca2-8654-efa64fa8261e · outbound

This paper cites Frequency-aware deepfake de- tection: Improving generalizability through frequency space domain learning.

Code-in-the-Loop Forensics: Agentic Tool Use for Image Forgery Detection Frequency-aware deepfake de- tection: Improving generalizability through frequency space domain learning

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-03T15:38:30.502601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a7f14b2e-60c9-4cff-8119-7072dcb4002b · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

Code-in-the-Loop Forensics: Agentic Tool Use for Image Forgery Detection Gemini: A Family of Highly Capable Multimodal Models

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-03T15:38:30.696798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da6d4b81-95fe-444e-9085-299403a1f38e · outbound

This paper cites Qvq: To see the world with wisdom, 2024.

Code-in-the-Loop Forensics: Agentic Tool Use for Image Forgery Detection Qvq: To see the world with wisdom, 2024

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-03T15:38:30.815810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8eda959-ef11-4499-bf8a-dcfae3f35bab · outbound

This paper cites Ob- jectformer for image manipulation detection and localiza- tion.

Code-in-the-Loop Forensics: Agentic Tool Use for Image Forgery Detection Ob- jectformer for image manipulation detection and localiza- tion

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-03T15:38:30.962924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 875265d7-9768-43ae-9ffd-bd49ea78da35 · outbound

This paper cites Enhancing the Reasoning Ability of Multimodal Large Language Models via Mixed Preference Optimization.

Code-in-the-Loop Forensics: Agentic Tool Use for Image Forgery Detection Enhancing the Reasoning Ability of Multimodal Large Language Models via Mixed Preference Optimization

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-03T15:38:31.115532Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78f74e7d-d72c-4b96-af79-afa2df29ed41 · outbound

This paper cites MetaTool: Facilitating Large Language Models to Master Tools with Meta-task Augmentation.

Code-in-the-Loop Forensics: Agentic Tool Use for Image Forgery Detection MetaTool: Facilitating Large Language Models to Master Tools with Meta-task Augmentation

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-03T15:38:31.227829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e267193-04b8-4ad3-9a74-e2dbcedcbd85 · outbound

This paper cites Qwen-Image Technical Report.

Code-in-the-Loop Forensics: Agentic Tool Use for Image Forgery Detection Qwen-Image Technical Report

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-03T15:38:31.315028Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 40229aa5-ae22-4a86-b203-555955a0d677 · outbound

This paper cites Fakeshield: Explainable image forgery detection and localization via multi-modal large lan- guage models.

Code-in-the-Loop Forensics: Agentic Tool Use for Image Forgery Detection Fakeshield: Explainable image forgery detection and localization via multi-modal large lan- guage models

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-03T15:38:31.403054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 96cb23ad-83c7-4a45-98e3-732329730044 · outbound

This paper cites A Survey on Multimodal Large Language Models.

Code-in-the-Loop Forensics: Agentic Tool Use for Image Forgery Detection A Survey on Multimodal Large Language Models

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-03T15:38:31.483036Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc70b9ee-78f1-4179-916d-e7e57361a63a · outbound

This paper cites Prnu- based image forgery localization with deep multi-scale fu- sion.ACM Transactions on Multimedia Computing, Com- munications and Applications, 19(2):1–20, 2023.

Code-in-the-Loop Forensics: Agentic Tool Use for Image Forgery Detection Prnu- based image forgery localization with deep multi-scale fu- sion.ACM Transactions on Multimedia Computing, Com- munications and Applications, 19(2):1–20, 2023

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-03T15:38:31.589377Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1cc48926-0519-48e6-b7a4-613fc2127228 · outbound

This paper cites Common sense reasoning for deepfake de- tection.

Code-in-the-Loop Forensics: Agentic Tool Use for Image Forgery Detection Common sense reasoning for deepfake de- tection

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-03T15:38:31.704546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6390c02-024f-4951-900c-3745f142cba6 · outbound

This paper cites PyVision: Agentic Vision with Dynamic Tooling.

Code-in-the-Loop Forensics: Agentic Tool Use for Image Forgery Detection PyVision: Agentic Vision with Dynamic Tooling

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-03T15:38:31.825682Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 881e86b9-8c0e-4406-a498-255594afd0d5 · outbound

This paper cites DeepEyes: Incentivizing "Thinking with Images" via Reinforcement Learning.

Code-in-the-Loop Forensics: Agentic Tool Use for Image Forgery Detection DeepEyes: Incentivizing "Thinking with Images" via Reinforcement Learning

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-03T15:38:31.992996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ca71c34-ac5d-4c49-8b92-f9c78cb38b6c · outbound

This paper cites Reinforced Visual Perception with Tools.

Code-in-the-Loop Forensics: Agentic Tool Use for Image Forgery Detection Reinforced Visual Perception with Tools

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-03T15:38:32.144932Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd5df040-40af-4ec5-8adf-dce95020b276 · outbound

This paper cites InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models.

Code-in-the-Loop Forensics: Agentic Tool Use for Image Forgery Detection InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-03T15:38:32.266710Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cdd02f7d-e1e2-4c0b-9c6a-c50a1b51ace5 · outbound

This paper cites An Intelligent Agentic System for Complex Image Restoration Problems.

Code-in-the-Loop Forensics: Agentic Tool Use for Image Forgery Detection An Intelligent Agentic System for Complex Image Restoration Problems

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-03T15:38:32.348895Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee40057b-f791-4d14-a251-2d76aa9f2500 · outbound

This paper cites Face forgery de- tection by 3d decomposition and composition search.IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(7):8342–8357, 2023.

Code-in-the-Loop Forensics: Agentic Tool Use for Image Forgery Detection Face forgery de- tection by 3d decomposition and composition search.IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(7):8342–8357, 2023

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-03T15:38:32.398123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers