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Paper Citation Record · LEDGER

DeeCLIP: A Robust and Generalizable Transformer-Based Framework for Detecting AI-Generated Images

As of 17 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 1 inbound Pith citation observation for arXiv:2504.19876.

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

pith.paper-citation-record.v1
2504.19876 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:46:34.282178Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-13T19:51:45.257204Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

24 of 24 outbound references displayed

  • verified exact0
  • verified fuzzy9
  • unresolved15
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 643d06dc-a42a-4560-89e7-a9ebcfd0cd48 · outbound

This paper cites MMFuser: Multimodal Multi-Layer Feature Fuser for Fine-Grained Vision-Language Understanding.

DeeCLIP: A Robust and Generalizable Transformer-Based Framework for Detecting AI-Generated Images MMFuser: Multimodal Multi-Layer Feature Fuser for Fine-Grained Vision-Language Understanding

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 1ddf53b5-ddef-48cc-a878-1b62a64777cd · outbound

This paper cites AntifakePrompt: Prompt-Tuned Vision-Language Models are Fake Image Detectors.

DeeCLIP: A Robust and Generalizable Transformer-Based Framework for Detecting AI-Generated Images AntifakePrompt: Prompt-Tuned Vision-Language Models are Fake Image Detectors

Reference 2

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no resolver link, observed 2026-08-16T05:46:34.184330Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:46:34.184330Z digest=sha256:94e490891a8dbfe1c41e7c91d7443cde18090d94360ac28411217e99d0d7561c

Observation 16ad13ce-b6ee-41ef-a439-95ffd25bc86a · outbound

This paper cites Raising the Bar of AI-generated Image Detection with CLIP.

DeeCLIP: A Robust and Generalizable Transformer-Based Framework for Detecting AI-Generated Images Raising the Bar of AI-generated Image Detection with CLIP

Reference 3

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source=pdf_text observed=2026-08-16T05:46:34.189352Z digest=sha256:1922495d405053a3eb29b17ae71a40b949c6ae57286bb6b1f42c3ebdd8d9fb44

Observation 3ae007b0-ddb8-403d-87be-549fc1d86009 · outbound

This paper cites In: CVPR.

DeeCLIP: A Robust and Generalizable Transformer-Based Framework for Detecting AI-Generated Images In: CVPR

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-16T05:46:34.616518Z

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.

source=pdf_text observed=2026-08-16T05:46:34.194273Z digest=sha256:8c5cfc4e5959b011c283b4f41b836bf01c79743b2396891b04c452c38029ed6a

Observation d0e9e4ea-2417-44ad-a2b4-7c2a278d4f6f · outbound

This paper cites Advances in neural information processing systems34, 8780–8794 (2021).

DeeCLIP: A Robust and Generalizable Transformer-Based Framework for Detecting AI-Generated Images Advances in neural information processing systems34, 8780–8794 (2021)

Reference 5

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:46:34.198915Z digest=sha256:6d63d501250ec3c8c14117ef07a60b45fe659adf34cb35ce7fad35f987725b56

Observation 6659a78f-bfa2-4074-8d7f-afd093279c28 · outbound

This paper cites Advances in neural infor- mation processing systems27 (2014).

DeeCLIP: A Robust and Generalizable Transformer-Based Framework for Detecting AI-Generated Images Advances in neural infor- mation processing systems27 (2014)

Reference 6

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no resolver link, observed 2026-08-16T05:46:34.203050Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:46:34.203050Z digest=sha256:b9896f2faf5f9b1c470e6d748a172eb3e5bc24264e5408fae8b5107860fb2ec6

Observation d39aa770-9971-4d48-9c9d-e1191432c463 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

DeeCLIP: A Robust and Generalizable Transformer-Based Framework for Detecting AI-Generated Images LoRA: Low-Rank Adaptation of Large Language Models

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:46:34.207820Z digest=sha256:ba320ba07567091a5d8299f57fba1c046d2a67138e50c5c541ea1b3ff245ee62

Observation a259f023-b5c4-4859-b925-a96cd8794e8c · outbound

This paper cites In: Proceedings of CVPR.

DeeCLIP: A Robust and Generalizable Transformer-Based Framework for Detecting AI-Generated Images In: Proceedings of CVPR

Reference 8

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verified fuzzy
raw_fallback, observed 2026-08-16T05:46:34.582674Z

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.

source=pdf_text observed=2026-08-16T05:46:34.211976Z digest=sha256:3e0df5a56565b1b950ee50b720395126d547272b0a483528ed9141f0e14d6d45

Observation 585248f0-199e-45cd-9a94-de892cd5248d · outbound

This paper cites Expert Systems 42(1), e13829 (2025).

DeeCLIP: A Robust and Generalizable Transformer-Based Framework for Detecting AI-Generated Images Expert Systems 42(1), e13829 (2025)

Reference 9

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raw_fallback, observed 2026-08-16T05:46:34.570329Z

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.

source=pdf_text observed=2026-08-16T05:46:34.216216Z digest=sha256:1e363332deeaea918cab86c3d168a2c89d8281e93757197c5bedc12627e4a583

Observation a9646101-322d-4df3-b178-7fe77be03c94 · outbound

This paper cites Leveraging Representations from Intermediate Encoder-blocks for Synthetic Image Detection.

DeeCLIP: A Robust and Generalizable Transformer-Based Framework for Detecting AI-Generated Images Leveraging Representations from Intermediate Encoder-blocks for Synthetic Image Detection

Reference 10

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:46:34.220513Z digest=sha256:9a523c6c704ccb47259e70b77ff508178f989a09e6eccba319789d272595d45e

Observation dff49792-4b7b-4a58-bf3a-7f91fa7e2c9c · outbound

This paper cites In: Proceedings of CVPR.

DeeCLIP: A Robust and Generalizable Transformer-Based Framework for Detecting AI-Generated Images In: Proceedings of CVPR

Reference 11

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raw_fallback, observed 2026-08-16T05:46:34.555944Z

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.

source=pdf_text observed=2026-08-16T05:46:34.225470Z digest=sha256:eb9c83e5bd9fb67717c2969293ffea68c8a726d1cc6547bf7cf3b6f0d8e24ff8

Observation 0b7578dc-0844-4f13-9c9f-911c4b03105f · outbound

This paper cites In: CVPR.

DeeCLIP: A Robust and Generalizable Transformer-Based Framework for Detecting AI-Generated Images In: CVPR

Reference 12

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:46:34.229472Z digest=sha256:5162af26dd75bbc93a42a055619568ca2e071f9e406316f4985571dbaa08b851

Observation bc02a3bf-f700-4b28-ab2a-9be047a3abef · outbound

This paper cites In: CVPR (2024).

DeeCLIP: A Robust and Generalizable Transformer-Based Framework for Detecting AI-Generated Images In: CVPR (2024)

Reference 13

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raw_fallback, observed 2026-08-16T05:46:34.530149Z

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.

source=pdf_text observed=2026-08-16T05:46:34.233904Z digest=sha256:71a00227b49b7b2389611a2a20ef884da46693411eda1a82a550d4a64a5c9dc4

Observation 0c9fd2b1-5e4f-4885-8cbd-f12f5770853a · outbound

This paper cites In: CVPR.

DeeCLIP: A Robust and Generalizable Transformer-Based Framework for Detecting AI-Generated Images In: CVPR

Reference 14

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:46:34.237964Z digest=sha256:946696ae88eb4d87ea7b0f35a5a8af0297d0b290f3aa6585f2cea456f923ce5d

Observation b714108e-8fcf-4212-a520-6f4b082010a9 · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

DeeCLIP: A Robust and Generalizable Transformer-Based Framework for Detecting AI-Generated Images In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 15

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source=pdf_text observed=2026-08-16T05:46:34.242309Z digest=sha256:878996052baa6e178c11d6b6b42f7d6c5323b36b1933667faab18598f73f2fe3

Observation 4bebf0c3-494a-4a88-8c70-6e0f3d1c5ea0 · outbound

This paper cites In: CVPR (2019).

DeeCLIP: A Robust and Generalizable Transformer-Based Framework for Detecting AI-Generated Images In: CVPR (2019)

Reference 16

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:46:34.248044Z digest=sha256:b3a72ef7bb258ed5ae6a4d782f1f5745272fb37de041b7283c4afbcbfacbc9fa

Observation 1841d914-2a97-4c95-8dba-97c54a8991e4 · outbound

This paper cites In: ICML (2015).

DeeCLIP: A Robust and Generalizable Transformer-Based Framework for Detecting AI-Generated Images In: ICML (2015)

Reference 17

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no resolver link, observed 2026-08-16T05:46:34.251805Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:46:34.251805Z digest=sha256:e52b3eef1e8ad70cc04ecd8c3a9daca1f0992b6233c9570d62f44db6802cb1d1

Observation 835551a8-122c-4ca3-81c1-c7af7913688f · outbound

This paper cites C2P-CLIP: Injecting Category Common Prompt in CLIP to Enhance Generalization in Deepfake Detection.

DeeCLIP: A Robust and Generalizable Transformer-Based Framework for Detecting AI-Generated Images C2P-CLIP: Injecting Category Common Prompt in CLIP to Enhance Generalization in Deepfake Detection

Reference 18

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Unavailable: canonical work link unavailable.

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Observation 24081d40-cedb-4029-a0cb-aaef4a16a461 · outbound

This paper cites In: Proc.

DeeCLIP: A Robust and Generalizable Transformer-Based Framework for Detecting AI-Generated Images In: Proc

Reference 19

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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.

source=pdf_text observed=2026-08-16T05:46:34.261393Z digest=sha256:06087e2a632514d653e679bb2a283b2f343df256085b1803af2c34da9a6636ed

Observation 4bb6c11a-9361-4c06-b634-6b7798d30ec0 · outbound

This paper cites In: Proceedings of CVPR.

DeeCLIP: A Robust and Generalizable Transformer-Based Framework for Detecting AI-Generated Images In: Proceedings of CVPR

Reference 20

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raw_fallback, observed 2026-08-16T05:46:34.461377Z

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.

source=pdf_text observed=2026-08-16T05:46:34.265184Z digest=sha256:c5836f2b2b30f8d046cf8766b0289b989d80898a78b051dc8c6939c2de41f991

Observation 87374acd-1d9d-4224-94ae-99e4452ab5b4 · outbound

This paper cites In: CVPR (2023).

DeeCLIP: A Robust and Generalizable Transformer-Based Framework for Detecting AI-Generated Images In: CVPR (2023)

Reference 21

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raw_fallback, observed 2026-08-16T05:46:34.447232Z

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.

source=pdf_text observed=2026-08-16T05:46:34.269234Z digest=sha256:49e9b60eb991a76f2e0181d8e323f9043af132dd6f266f86c879615e12cc479b

Observation 7a2c6aac-3681-4277-8cbb-b41e2691c68e · outbound

This paper cites an unresolved cited work.

DeeCLIP: A Robust and Generalizable Transformer-Based Framework for Detecting AI-Generated Images Unresolved cited work

Reference 22

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:46:34.272921Z digest=sha256:f3303117c8a417b2e4b3c940ceacb65bec7417be311adb05f45fd14962a3fc7d

Observation d65b7cf4-8454-4ae9-98dd-7e7bf49cd31b · outbound

This paper cites DIRE for Diffusion-Generated Image Detection.

DeeCLIP: A Robust and Generalizable Transformer-Based Framework for Detecting AI-Generated Images DIRE for Diffusion-Generated Image Detection

Reference 23

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source=pdf_text observed=2026-08-16T05:46:34.277791Z digest=sha256:002046e1b46dd8c4d4b11425d81b508cc3a9909f095bf142e867a9e828ff6813

Observation b26bed47-1737-4fd1-bf28-3d405c76a30a · outbound

This paper cites Journal of machine learning research10(2) (2009).

DeeCLIP: A Robust and Generalizable Transformer-Based Framework for Detecting AI-Generated Images Journal of machine learning research10(2) (2009)

Reference 24

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raw_fallback, observed 2026-08-16T05:46:34.423196Z

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.

source=pdf_text observed=2026-08-16T05:46:34.282178Z digest=sha256:eecc1d661d2d5a8f0c0da8bb5da206a98eb7e195c60388a9fd77e2ba0d759827

Pith citing papers

Observation 9760048e-aa43-4db3-aa49-0184b4e7675b · inbound

AgentFoX: LLM Agent-Guided Fusion with eXplainability for AI-Generated Image Detection cites this paper.

AgentFoX: LLM Agent-Guided Fusion with eXplainability for AI-Generated Image Detection DeeCLIP: A Robust and Generalizable Transformer-Based Framework for Detecting AI-Generated Images

Reference 14

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T19:51:45.257204Z digest=sha256:7bfeee69b7fc155d4869475a07262bfac9f4dbb32a13c31f06cefde4490d8120