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Paper Citation Record · LEDGER

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models

As of 15 August 2026, this Paper Citation Record lists 82 of 82 outbound references and 2 inbound Pith citation observations for arXiv:2506.03007.

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

pith.paper-citation-record.v1
2506.03007 v1

Coverage vector

measured 82 of 82 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:16:49.198799Z

measured 84 of 84 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-28T11:16:44.986901Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T02:06:26.574530Z

Reference resolution

82 of 82 outbound references displayed

  • verified exact5
  • verified fuzzy3
  • unresolved74
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e64ed27f-6ef6-4b45-87c9-50e935da49fa · outbound

This paper cites an unresolved cited work.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Unresolved cited work

Reference 1

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no resolver link, observed 2026-08-07T11:16:42.047846Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:16:42.047846Z digest=sha256:4ec47a7bef36b00f6ccc549fe0d45145562d4e072faee5a136cacf57771178d2

Observation 441826ec-0241-42ef-aa3d-bc73883ba98c · outbound

This paper cites Kandinsky 3: Text-to-Image Synthesis for Multifunctional Generative Framework.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Kandinsky 3: Text-to-Image Synthesis for Multifunctional Generative Framework

Reference 2

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verified exact
local_arxiv, observed 2026-08-07T11:16:50.818574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T11:16:42.123704Z digest=sha256:b59a29a6b69f4a65defbe9b2eb7a282ac91f1598ab1c398064b7f335cb574553

Observation 03a5b0cc-2eaa-44f8-a421-300b8d789de9 · outbound

This paper cites Qwen2.5-VL Technical Report.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Qwen2.5-VL Technical Report

Reference 3

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no resolver link, observed 2026-08-07T11:16:42.230471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:16:42.230471Z digest=sha256:b9f6f8c502a715f2b7447512dc1b131d6cbf996bd44a7ccb1f6e1f8f26b016e6

Observation 8369b948-28a9-4069-aa8b-3c6b0e5210dc · outbound

This paper cites an unresolved cited work.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Unresolved cited work

Reference 4

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no resolver link, observed 2026-08-07T11:16:42.325727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:16:42.325727Z digest=sha256:c0adeea5c4a9d9a516c80b6cbbd6abd06c2d7d0e93ed8636a08784692cc71a8a

Observation 86929f05-5294-40e5-bccc-aecd8ff0b996 · outbound

This paper cites CIFAKE: Image Classification and Explainable Identification of AI-Generated Synthetic Images.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models CIFAKE: Image Classification and Explainable Identification of AI-Generated Synthetic Images

Reference 5

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no resolver link, observed 2026-08-07T11:16:42.411625Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:16:42.411625Z digest=sha256:50a670345ba76480ed13da6b10b724b1bbf8f3877203192f279ffa2af598f6fa

Observation e801ce80-c63a-4ef1-b5ad-3be93c27bfe6 · outbound

This paper cites Large Scale GAN Training for High Fidelity Natural Image Synthesis.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Large Scale GAN Training for High Fidelity Natural Image Synthesis

Reference 6

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no resolver link, observed 2026-08-07T11:16:42.487436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:16:42.487436Z digest=sha256:09f9b63c4b7b4e10362b7bf86635d02e91e0c8c20358af33a0cce9e2905e3d4d

Observation 59d47fe2-c98d-4a42-8979-dc677ed45ee1 · outbound

This paper cites an unresolved cited work.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Unresolved cited work

Reference 7

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raw_fallback, observed 2026-08-07T11:16:59.602538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T11:16:42.556672Z digest=sha256:573ad698cbc31ca9dcfba2fef750d73b115da4e9cbc5b13382d91223551e26f5

Observation b5ec0a75-a991-4b0b-b843-6d9e8cc6d1bd · outbound

This paper cites an unresolved cited work.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Unresolved cited work

Reference 8

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raw_fallback, observed 2026-08-07T11:16:59.414498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T11:16:42.620720Z digest=sha256:b0069f58ef1484440c2c66ec49922a52aa77a81107aa725da6a3f6b45d024ea9

Observation f4f33327-6686-439d-b9be-9dda775b1856 · outbound

This paper cites an unresolved cited work.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Unresolved cited work

Reference 9

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raw_fallback, observed 2026-08-07T11:16:59.249466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T11:16:42.682228Z digest=sha256:f290f637be396cd219d383fac967ed11d91604ce13fe7711e0f9f5ed66e1c950

Observation 5e240714-fc6e-42ac-8ed2-50758819f75f · outbound

This paper cites Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling

Reference 10

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:16:42.752847Z digest=sha256:77bf6dad1d41201d04be1275fc2ae8c3f29abc48917fffb4e33fb0515dca23e2

Observation cb4e23ed-13fe-4d56-9120-d78609227f44 · outbound

This paper cites DiffEdit: Diffusion-based semantic image editing with mask guidance.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models DiffEdit: Diffusion-based semantic image editing with mask guidance

Reference 11

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no resolver link, observed 2026-08-07T11:16:42.820616Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:16:42.820616Z digest=sha256:702a61fe956d68f919642f9babb60e6e07b74865f06f2c486ac74d54ad0568a2

Observation 6f65870d-8ef2-43e6-b771-a7b87c53f1df · outbound

This paper cites an unresolved cited work.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Unresolved cited work

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T11:16:42.905777Z digest=sha256:4d0b689ab218a5b204e649187c8618e1d49818ca5cef1d0b43ef8b5164c05d5a

Observation 37c23299-3855-48a5-ae6f-f3ebb672636f · outbound

This paper cites Autoregressive Video Generation without Vector Quantization.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Autoregressive Video Generation without Vector Quantization

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:16:42.997910Z digest=sha256:b87a53f94f9b0f72259849130e060800946d430b310cd29f2f61d9889773c8df

Observation 2b11dfe2-c130-4192-ab11-c0c67172a74e · outbound

This paper cites an unresolved cited work.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Unresolved cited work

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T11:16:43.080354Z digest=sha256:f8945e13fb3c75f749f8606b0758810f71d8bd309438f9256bff665b60db909e

Observation 30fe278c-ad3b-4029-bfde-1255578f93c0 · outbound

This paper cites an unresolved cited work.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Unresolved cited work

Reference 15

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raw_fallback, observed 2026-08-07T11:16:58.628595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T11:16:43.137147Z digest=sha256:1a8fdd9e0e806703d005c815f51cc17ac9f36155c19cb6e1e611dacdd89dead5

Observation 1d9c0286-0fc9-4d62-b437-6221c6999253 · outbound

This paper cites an unresolved cited work.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Unresolved cited work

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T11:16:43.225182Z digest=sha256:30fe4b4978056f0cc635a86e69e850b4efbc5e6185acd3590a92faefb47c3c25

Observation 9daa756c-2ee4-42cf-83ec-f31a7a4ed30d · outbound

This paper cites an unresolved cited work.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Unresolved cited work

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T11:16:43.286712Z digest=sha256:092cacb44f31771145404c1c1afaa106bf0c628387e0bc676f579c141dbbefe0

Observation 81ce8c52-4ff8-42cf-af08-40ffcca89817 · outbound

This paper cites an unresolved cited work.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Unresolved cited work

Reference 18

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raw_fallback, observed 2026-08-07T11:16:57.836348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T11:16:43.392225Z digest=sha256:96cea7948d641e0149750ce4889331c804f2c20bcf11c51e541ea418c46811cb

Observation 04108ab3-979f-4d47-9b27-9d71d3ba853f · outbound

This paper cites an unresolved cited work.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Unresolved cited work

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T11:16:43.483515Z digest=sha256:3e7b47daeb949c2910161142740dcc333d36a26291b4a71de415794c6e75be85

Observation d51a89ce-e9d7-4f2a-a8e5-b948d636ade2 · outbound

This paper cites an unresolved cited work.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Unresolved cited work

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T11:16:43.570304Z digest=sha256:b55cb615fd36e2575cadbbfe743b569b7a6f75df70ecdf814eff0ef36675853b

Observation 02c24897-aabb-46dc-bc09-71495c95a959 · outbound

This paper cites an unresolved cited work.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Unresolved cited work

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T11:16:43.678260Z digest=sha256:1d82b543a02f21a4a28640611673c62f1c89dc7461372392654d9da618c4d5f7

Observation 66c7d782-0290-454b-83e0-9fa42fa3458f · outbound

This paper cites Infinity: Scaling Bitwise AutoRegressive Modeling for High-Resolution Image Synthesis.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Infinity: Scaling Bitwise AutoRegressive Modeling for High-Resolution Image Synthesis

Reference 22

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:16:43.758327Z digest=sha256:2192ea1ef19e7fb0643d58e564118b246426ef8d03fe8a00c1d08b879003253a

Observation 5d6c1911-30cf-4b42-abdf-388281b4c9e2 · outbound

This paper cites an unresolved cited work.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Unresolved cited work

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T11:16:43.825390Z digest=sha256:27efb439730cef64626965a8220ebc5c8a2c464d0ecc63b55fbe37da10ba2c47

Observation 5822f85b-d458-40ac-a130-1066baa61c7d · outbound

This paper cites an unresolved cited work.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Unresolved cited work

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T11:16:43.903417Z digest=sha256:59fe985aeb61846a85df0efdb7bf5592075c6bf2425a05aedff11f5d25a67d55

Observation ffb37659-bcbc-4cef-8a15-a406b0667597 · outbound

This paper cites CogAgent: A Visual Language Model for GUI Agents.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models CogAgent: A Visual Language Model for GUI Agents

Reference 25

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no resolver link, observed 2026-08-07T11:16:43.994161Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:16:43.994161Z digest=sha256:7a14bde67496f71c9d5354caefd98ea5796958422c108c1d61676675c01d6c06

Observation 6c710e67-e556-4822-a2b3-afc4f6524f1d · outbound

This paper cites an unresolved cited work.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Unresolved cited work

Reference 26

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raw_fallback, observed 2026-08-07T11:16:56.611790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T11:16:44.085066Z digest=sha256:66612e09de4c120da40ae851b63f49608c2ea3564ccd8837034170fa1e6ab913

Observation be847bc7-1b64-4cc4-825b-084162e190ab · outbound

This paper cites an unresolved cited work.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Unresolved cited work

Reference 27

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raw_fallback, observed 2026-08-07T11:16:56.391256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 394f00f8-ddca-4806-a033-14c5d0bfa905 · outbound

This paper cites SIDA: Social Media Image Deepfake Detection, Localization and Explanation with Large Multimodal Model.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models SIDA: Social Media Image Deepfake Detection, Localization and Explanation with Large Multimodal Model

Reference 28

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no resolver link, observed 2026-08-07T11:16:44.307327Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:16:44.307327Z digest=sha256:6bf2e1fc977de3d46fd2ae9b0d0d8d5c602f277d3aa9f0aae357e05b1b58c372

Observation a49e9d9e-fd53-44b3-8310-c1cf0589e981 · outbound

This paper cites an unresolved cited work.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Unresolved cited work

Reference 29

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raw_fallback, observed 2026-08-07T11:16:56.173525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T11:16:44.392291Z digest=sha256:ca0e8ab9bc4630eb827351ed3265b354e583ae4bd3d2f872dce767510c336a59

Observation d5077d7d-9221-43a5-8c49-5a34ab3bd640 · outbound

This paper cites an unresolved cited work.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Unresolved cited work

Reference 30

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raw_fallback, observed 2026-08-07T11:16:55.942400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T11:16:44.461312Z digest=sha256:54f8452109fd9ad886f8992ac7980dd2c2231da6e79e16216c7e9c8054a91290

Observation 4fb52b2e-f917-4bd9-a4b7-96bed9739c72 · outbound

This paper cites Progressive Growing of GANs for Improved Quality, Stability, and Variation.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Progressive Growing of GANs for Improved Quality, Stability, and Variation

Reference 31

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:16:44.555003Z digest=sha256:fe853b4afa86f0b761b7196997b3ef25136fb7b236fbdd68bf7a10dc945a467b

Observation 685afa11-fd3c-4d22-8c43-fc9159bf8dd4 · outbound

This paper cites an unresolved cited work.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Unresolved cited work

Reference 32

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raw_fallback, observed 2026-08-07T11:16:55.703758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T11:16:44.623111Z digest=sha256:a793675155a8f4b0a2f312e3f6fa824bf87895748f74a6abeaf9be51f813da6b

Observation 1e0c32ed-33c4-433b-84bd-04bea9933bbf · outbound

This paper cites an unresolved cited work.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Unresolved cited work

Reference 33

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no resolver link, observed 2026-08-07T11:16:44.705137Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:16:44.705137Z digest=sha256:4ac454a704dfc827da1907ab8b13f6ad15cc7e80364668128b769d42561e94bc

Observation d5869957-0a90-4786-9d80-07e5b2634b97 · outbound

This paper cites an unresolved cited work.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Unresolved cited work

Reference 34

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raw_fallback, observed 2026-08-07T11:16:55.476714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T11:16:44.809516Z digest=sha256:e4e745d81947305acf7f380d51444416519e236e129c2698cf4ce4fde88e1fe7

Observation 2c4b4462-edc2-40e6-88e8-5153877a953b · outbound

This paper cites LLaVA-OneVision: Easy Visual Task Transfer.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models LLaVA-OneVision: Easy Visual Task Transfer

Reference 35

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no resolver link, observed 2026-08-07T11:16:44.884184Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:16:44.884184Z digest=sha256:fa7b08a6fadece91368d3a522fa5744f2dc93fec17dd79fd0bb1244229be3668

Observation edb2cdca-5419-4822-b62c-e7f2ac738f26 · outbound

This paper cites an unresolved cited work.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Unresolved cited work

Reference 36

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no resolver link, observed 2026-08-07T11:16:44.986506Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:16:44.986506Z digest=sha256:222581844a35482dea2e3ecbadd6810d178ee53e2aa0fe8d2f6d3214c6c61379

Observation 71ddb09f-9ca1-4b1d-aa5a-6e3e07673ac3 · outbound

This paper cites LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models

Reference 37

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no resolver link, observed 2026-08-07T11:16:45.182318Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:16:45.182318Z digest=sha256:b0b26d2e316053c2e7ed3ecbc160efc0129dbdb7c2e14b11f30e4eaf9ea457b0

Observation 1c8b45e9-868b-4d6b-a3f5-64b6fb88bb90 · outbound

This paper cites an unresolved cited work.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Unresolved cited work

Reference 38

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:16:55.230804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T11:16:45.280762Z digest=sha256:2c55b97ed98d1f45b83188f69e140e9a0f88aceba8f023fbc1312f815872a77a

Observation a631f7b4-ed42-405a-851a-acb01ecf3590 · outbound

This paper cites Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C

Reference 39

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verified fuzzy
raw_fallback, observed 2026-08-07T11:16:55.009009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T11:16:45.419921Z digest=sha256:6be3c007e9d482ae8016af0aba6ccc1b6278e683be4db4453d7c04629fc9915b

Observation 9bb057bb-f4a6-440e-97af-af5c8103a26d · outbound

This paper cites an unresolved cited work.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Unresolved cited work

Reference 40

Resolution
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raw_fallback, observed 2026-08-07T11:16:54.818092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T11:16:45.542362Z digest=sha256:3fd3ee36a0e8f9d71e00943c2b06c540311f1fed972f2d26c188e7f5a6953124

Observation 59049b28-df2e-4866-8f89-9fe35c3e4169 · outbound

This paper cites an unresolved cited work.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Unresolved cited work

Reference 41

Resolution
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raw_fallback, observed 2026-08-07T11:16:54.652119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T11:16:45.670585Z digest=sha256:e3ccb4393f8130da09eb35729156a6b55f442eb826893a1ff0a446cf747af7bb

Observation 477aa9bd-7334-44da-a0b2-8b7102a73ebc · outbound

This paper cites DeepSeek-VL: Towards Real-World Vision-Language Understanding.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models DeepSeek-VL: Towards Real-World Vision-Language Understanding

Reference 42

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no resolver link, observed 2026-08-07T11:16:45.779536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:16:45.779536Z digest=sha256:e54a7a7d94ae9e18e04b996718b5fef139ebeb332668b92ac37f101126b9ac4c

Observation ee3311e2-8616-4315-98b7-ded72ecf673a · outbound

This paper cites an unresolved cited work.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Unresolved cited work

Reference 43

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:16:54.465523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T11:16:45.919887Z digest=sha256:dd4efafbe4c11d58205b5d06f372b24317df7652d6a5732d3b02e441244c9cec

Observation 549171fc-43ed-4811-adc2-c35545fdf6c4 · outbound

This paper cites GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models

Reference 44

Resolution
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no resolver link, observed 2026-08-07T11:16:46.000956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:16:46.000956Z digest=sha256:217639d4021e8ece3e154a01c06364d654aae6b7a90f9e78c01d151ee720814f

Observation 33378141-1ee6-4a00-a6b9-de7200537e7f · outbound

This paper cites an unresolved cited work.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Unresolved cited work

Reference 45

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:16:54.286730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T11:16:46.088524Z digest=sha256:3ba183d3f99117ff9f09fb3401dad23193f6b3448d4ce54357b114ac044f84cd

Observation fcbb6e70-70be-4de0-9bd2-d8904d710c20 · outbound

This paper cites an unresolved cited work.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Unresolved cited work

Reference 46

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:16:54.129351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T11:16:46.172607Z digest=sha256:9267ffe0d7ae228045fd21449683d670d5c9b5b0c449cd8bcf25482a381ba2d8

Observation 9b6f990e-5e7d-4a43-aa3b-f46c62bb2636 · outbound

This paper cites SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 47

Resolution
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no resolver link, observed 2026-08-07T11:16:46.265643Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:16:46.265643Z digest=sha256:c0828fc5d382e1f38bdc8a6ea3161c69a9ab8bebf858528c7fb6c51a13d37306

Observation 92fed15a-c4bb-47c2-a22a-daf46d6b5ab4 · outbound

This paper cites an unresolved cited work.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Unresolved cited work

Reference 48

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:16:53.928618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T11:16:46.347591Z digest=sha256:c3cc3fa74b8865b5cb323d79e00e5a3b2e3d37c7afd46d80f204556fc40070c5

Observation 89d89f47-1adf-4c2c-9329-f0ab1e7a3c9b · outbound

This paper cites Towards Explainable Partial-AIGC Image Quality Assessment.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Towards Explainable Partial-AIGC Image Quality Assessment

Reference 49

Resolution
verified exact
local_arxiv, observed 2026-08-07T11:16:50.185147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T11:16:46.449297Z digest=sha256:345cc3566ce3f0663760cc2cccac3582bf8146a3588e29b12736169499eedd1b

Observation 7d34bdbd-2243-4c1e-a5c8-b437102c8b88 · outbound

This paper cites an unresolved cited work.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Unresolved cited work

Reference 50

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unresolved
no resolver link, observed 2026-08-07T11:16:46.543358Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:16:46.543358Z digest=sha256:09076851c7e9674ed63d00a8f0fb0fa2ca60618c75258c67f1bba15551b5fc45

Observation 9c26c032-bfb3-43a9-946f-04815ad84b03 · outbound

This paper cites DE-FAKE: Detection and Attribution of Fake Images Generated by Text-to-Image Generation Models.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models DE-FAKE: Detection and Attribution of Fake Images Generated by Text-to-Image Generation Models

Reference 51

Resolution
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no resolver link, observed 2026-08-07T11:16:46.653211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:16:46.653211Z digest=sha256:285b5469638b29b4131384104b7d6440299f34987d77b6a80b8218b512cbe8a2

Observation 38f45a67-e598-45cb-8dc4-79e84163e6a4 · outbound

This paper cites an unresolved cited work.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Unresolved cited work

Reference 52

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:16:53.735297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T11:16:46.747650Z digest=sha256:62799b9f1b878165b477c8d262ebaf4b01ea0cfa88cf66f4dddd1c393157ffa8

Observation 9747b4a1-1fe1-4561-8bab-e64cfd4c99f4 · outbound

This paper cites Weiss, Niru Maheswaranathan, and Surya Ganguli.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Weiss, Niru Maheswaranathan, and Surya Ganguli

Reference 53

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no resolver link, observed 2026-08-07T11:16:46.870897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:16:46.870897Z digest=sha256:d0a19af9b2863391c05b8454b80237a066fb5d36eba9427acc53f1b53f1231e6

Observation e687ef71-3283-4728-b4a7-207f03db9317 · outbound

This paper cites an unresolved cited work.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Unresolved cited work

Reference 54

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:16:53.372455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T11:16:47.054329Z digest=sha256:eb4cab705348e252004414eaf3a7b1aa3bcf2e4335fd7c62be8187f8b5cdd830

Observation b4d7d2eb-1682-4314-96df-a645b3f4faa6 · outbound

This paper cites an unresolved cited work.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Unresolved cited work

Reference 55

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:16:53.196166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T11:16:47.135624Z digest=sha256:3f05f48736ab9fbd5a885da77056fb011623ba415eb806c78cfa52026fbe5f38

Observation 3fa2891f-fba6-42c9-9efd-b91f702dcfe5 · outbound

This paper cites an unresolved cited work.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Unresolved cited work

Reference 56

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:16:53.001256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T11:16:47.238401Z digest=sha256:776f904c6ff9c560f1923a066c107420c5a317bf14f44384194605f74b72f36b

Observation d8af01e5-7b75-47e3-bf37-076c94229c0d · outbound

This paper cites an unresolved cited work.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Unresolved cited work

Reference 57

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:16:52.774017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T11:16:47.330098Z digest=sha256:e82d8d843ea9dbea30050fd8a17e9e5d2afde29cd8c42c04b278408d4cafa328

Observation 7bb7b4ee-ec6a-413e-93e2-24b6e08f14ce · outbound

This paper cites an unresolved cited work.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Unresolved cited work

Reference 58

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:16:52.499435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T11:16:47.406987Z digest=sha256:3a1edb3ac3c16c4955d65ef240ae7db50c0f6ae9042f86126d398e75f1409c4a

Observation ea652983-a7d5-42ec-beb5-76a4e9f08b94 · outbound

This paper cites LOVE: Benchmarking and Evaluating Text-to-Video Generation and Video-to-Text Interpretation.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models LOVE: Benchmarking and Evaluating Text-to-Video Generation and Video-to-Text Interpretation

Reference 59

Resolution
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no resolver link, observed 2026-08-07T11:16:47.490821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:16:47.490821Z digest=sha256:d43de88de7caa2a672633f1ac62031978958dfbea657417e577efd0a4b92c5bf

Observation e691b564-4941-4df1-9c0e-78e22c1c8c32 · outbound

This paper cites an unresolved cited work.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Unresolved cited work

Reference 60

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:16:52.158469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T11:16:47.580440Z digest=sha256:44fb9c5a91392ac392f5c2f779f901d8153385ccc5a8c25037c10164a51ae020

Observation 204bf254-ad1c-4b2e-8113-0dd1d3103e75 · outbound

This paper cites Quality Assessment for AI Generated Images with Instruction Tuning.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Quality Assessment for AI Generated Images with Instruction Tuning

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-07T11:16:47.664195Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:16:47.664195Z digest=sha256:65e6c1586b0fd8751f327a8144b7062fc7570598b3ccddd2a221ff69df121a2b

Observation b1c61488-18d3-411a-8a90-74133dec162a · outbound

This paper cites an unresolved cited work.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Unresolved cited work

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-07T11:16:47.751554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:16:47.751554Z digest=sha256:3c14aa50ff4f687138473c7000f2597d6184917edae25979fd0d0742f7c147cc

Observation 78fb0a04-10f9-47bd-957e-945109f81fe3 · outbound

This paper cites LMM4LMM: Benchmarking and Evaluating Large-multimodal Image Generation with LMMs.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models LMM4LMM: Benchmarking and Evaluating Large-multimodal Image Generation with LMMs

Reference 63

Resolution
verified exact
local_arxiv, observed 2026-08-07T11:16:49.911290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T11:16:47.914645Z digest=sha256:e9e801704620c6ea556efa0f5aff3dbc9836001013debd18c26ff3fe07f242d3

Observation 6b3a87dd-3d05-4381-97aa-854fd3977eb7 · outbound

This paper cites an unresolved cited work.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Unresolved cited work

Reference 64

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:16:51.793707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T11:16:48.020993Z digest=sha256:a6b0a24dc9af8a55c6a55a4b89c6bb8991be5d00ecb8da4c2698d8049466101b

Observation dd8930cd-abd6-4b87-8f89-d2b21b3fb8f2 · outbound

This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-07T11:16:48.155979Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:16:48.155979Z digest=sha256:18bb49603dadb9a9c38bb24ddf215bc79d4b4f04fcdad918db2165e963ffd8a8

Observation e5f1fe6f-0725-4b21-a069-f5223c731576 · outbound

This paper cites FakeSpotter: A Simple yet Robust Baseline for Spotting AI-Synthesized Fake Faces.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models FakeSpotter: A Simple yet Robust Baseline for Spotting AI-Synthesized Fake Faces

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-07T11:16:48.254679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:16:48.254679Z digest=sha256:457d85f6ab6b4daf99cd3094f38037ae80a206b997306258f3e317591ad433f0

Observation 2f98785c-0af8-4a05-a967-5270f59b7d8a · outbound

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

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Enhancing the Reasoning Ability of Multimodal Large Language Models via Mixed Preference Optimization

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-07T11:16:48.328410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:16:48.328410Z digest=sha256:08e96f6f19593b272b0562dcfb4e1788d65841a3a193f805b350542d08ce05be

Observation 07e25b8e-f93c-4876-8e12-713b36bcb2b7 · outbound

This paper cites an unresolved cited work.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Unresolved cited work

Reference 68

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:16:51.638625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T11:16:48.080197Z digest=sha256:dd26aee50cd1eb2d3b8e6d7bc2ecdf6deb6e5723e709a949b795564900ca401b

Observation b2a37fd7-9c73-4cf6-b90c-c87c3ab35e2e · outbound

This paper cites Benchmarking Deepart Detection.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Benchmarking Deepart Detection

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-07T11:16:48.474408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:16:48.474408Z digest=sha256:e703fa8e2b75d53df3db2387bc393183753fdbb294a83299a972e4b7db8a8cc3

Observation 23a21e67-b88b-402e-a052-7c358f6b5bbf · outbound

This paper cites Janus: Decoupling Visual Encoding for Unified Multimodal Understanding and Generation.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Janus: Decoupling Visual Encoding for Unified Multimodal Understanding and Generation

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-07T11:16:48.565761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:16:48.565761Z digest=sha256:de757a5f112672e97df07dab4f05f9bd76b8bef168c928f04eed230ee54bf49a

Observation 41022d82-c2e9-4180-a823-bb1c4fec4e50 · outbound

This paper cites an unresolved cited work.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Unresolved cited work

Reference 71

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:16:51.507155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T11:16:48.649396Z digest=sha256:76d8130e340234092c080adbdde488c1449204fdd7152f4fb74a1416a14ff686

Observation 2d06c8ec-092d-4eca-888b-3a33dcb763e8 · outbound

This paper cites Emu3: Next-Token Prediction is All You Need.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Emu3: Next-Token Prediction is All You Need

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-07T11:16:48.398815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:16:48.398815Z digest=sha256:c5f40c2a3b0f8f3d96ed2274aa346ff9048bf3c56e5130c1eac232004ba71348

Observation 8aad04c6-6636-4789-a5ba-529c766180c0 · outbound

This paper cites LMME3DHF: Benchmarking and Evaluating Multimodal 3D Human Face Generation with LMMs.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models LMME3DHF: Benchmarking and Evaluating Multimodal 3D Human Face Generation with LMMs

Reference 73

Resolution
verified exact
local_arxiv, observed 2026-08-07T11:16:49.459166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T11:16:48.803314Z digest=sha256:c575094314be801daa3e266f2340f11cf56e784c9205684d4b91be558f598c85

Observation 51c26781-cbe1-4392-a654-525ae94b704d · outbound

This paper cites an unresolved cited work.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Unresolved cited work

Reference 74

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:16:51.370766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T11:16:48.872557Z digest=sha256:aee48cf691828a81c19d992b1d54f701e75ac7a4b4c972cc10f6e3a9df9c9dd8

Observation 729f3741-34f9-4d80-b2d9-f9b5e0d5b261 · outbound

This paper cites an unresolved cited work.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Unresolved cited work

Reference 75

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:16:51.252034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T11:16:48.951648Z digest=sha256:06be4a308b8c59aa08ec87bfcf34e15a19859ebe4cd541d47d90c86045d36b1f

Observation 040e8bee-28ad-446d-81c0-3f9be67cf0fa · outbound

This paper cites HarmonyIQA: Pioneering Benchmark and Model for Image Harmonization Quality Assessment.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models HarmonyIQA: Pioneering Benchmark and Model for Image Harmonization Quality Assessment

Reference 76

Resolution
verified exact
local_arxiv, observed 2026-08-07T11:16:49.600006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T11:16:48.730561Z digest=sha256:5b108c10a63217b72efce5fc608dd30698a470baa8a9a8f431fdd3dc03a31190

Observation be23f1da-7310-49fd-bb68-66f1d9bcded1 · outbound

This paper cites an unresolved cited work.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Unresolved cited work

Reference 77

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:16:51.115338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T11:16:49.116059Z digest=sha256:c863072cc9415c7d79a63a8707ac6000eb323f6a9f7bfeda4d08482bebc1fa33

Observation 381408da-bb1d-4e54-9183-272ffd4aca6d · outbound

This paper cites an unresolved cited work.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Unresolved cited work

Reference 78

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:16:50.976400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T11:16:49.198799Z digest=sha256:fda074caaac46139294644eb71c0b24d6efaaca2522bee35a3729c8ad16bd85b

Observation a6ab00da-b201-4119-b324-4f42c3d93780 · outbound

This paper cites InternLM-XComposer: A Vision-Language Large Model for Advanced Text-image Comprehension and Composition.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models InternLM-XComposer: A Vision-Language Large Model for Advanced Text-image Comprehension and Composition

Reference 80

Resolution
unresolved
no resolver link, observed 2026-08-07T11:16:49.042506Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:16:49.042506Z digest=sha256:817adf76ca8e37662741da778cc7b0794cbc6b0e1023b403026e50cd7f942a33

Observation 199c6f89-fcdd-46c8-a07a-b16526416c9c · outbound

This paper cites In Proceedings of the 32nd International Conference on Machine Learning (ICML).

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models In Proceedings of the 32nd International Conference on Machine Learning (ICML)

Reference 2015

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:16:53.557221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T11:16:46.959045Z digest=sha256:a55321264fc2b71eb6958aa738f703788e7c45c8e01a0c3dad1c77b24426ae41

Observation a644b549-641f-46fe-822c-c6fa7f9ebeec · outbound

This paper cites Playground v2.5: Three Insights towards Enhancing Aesthetic Quality in Text-to-Image Generation.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Playground v2.5: Three Insights towards Enhancing Aesthetic Quality in Text-to-Image Generation

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-07T11:16:45.092028Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:16:45.092028Z digest=sha256:9bc23c3a865d5b111693a3a0c798614e0504ea499674b553905a9df558f84967

Observation d2fc01e9-70f8-435b-b99f-41a106cbabc1 · outbound

This paper cites In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Reference 2025

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:16:51.958297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T11:16:47.835823Z digest=sha256:55f04dfb7897d8bdb593e846d1d4b7e12dcf519f0befcf524ec77234b9bedc7f

Pith citing papers

Observation ed74a17e-2c31-4197-a973-2a29c9e4a788 · 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 DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models

Reference 49

Resolution
verified exact
arxiv_id, observed 2026-05-18T02:05:38.949482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-18T02:04:49.742067Z digest=sha256:128a24f64f350eed78f5dd68af7965f1a0b4f5c7914bd37111889ea0cd80d3d5

Observation eac01474-8d4d-4df8-aa1d-72fd314036cd · inbound

SynCred-Bench: Benchmarking Synthetic Credibility in AI-Generated Visual Misinformation cites this paper.

SynCred-Bench: Benchmarking Synthetic Credibility in AI-Generated Visual Misinformation DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-07-02T02:06:26.576323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-06-28T11:16:44.986901Z digest=sha256:f5b0b33cb8867dcc60c8230e0c062959090c6a29e58343a4d7eec6bd32563a77