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Paper Citation Record · LEDGER

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models

As of 10 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 2026-08-09T06:31:02.800959+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=sha256:0bb20623510047c877f646babd8cc31d778d399aab1b3cdf8f6c4979ae0beaae

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:16:42.123704Z digest=sha256:5d3fa77370616fa14a869ba61506a0e20929b3523a131f52bf5a82b791cc7c75

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:f507077f607879b755721cfa882c74479e124b0728b136c4b058df2db3504f32

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=sha256:7a62ec5598a537a123590aa84922df4e9fcc52e22ca780d82ae291e70729e8d6

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:16:42.411625Z digest=sha256:3ef55f4a4347c677949d0744e68bc614a20f77ef14b0ec786a02523c6e0e4248

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:d6505410d35a9f45431e4770dbebbc9fe36a6f1d0513a76a5a1e4fe760014403

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:16:42.556672Z digest=sha256:959c97cfffadad06f186e5dfa5924e5e59af0a2549c2a9c26fc0651ac80252e3

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:16:42.620720Z digest=sha256:8bac8fa35e4b47d2f85217b7b8b72b214f117385cf2a6da6e24ca6bc34919ab4

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:16:42.682228Z digest=sha256:482d06ab91ba0a914268dda5a55f063310c67771a09f6204e2c556fc4d6283cb

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=sha256:1f23ac8ae891c7a756a3afc35a3810501aaa19a82f2603027312f0e47edd74a9

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:16:42.820616Z digest=sha256:f6a171ad8e176e447c90989470d4d6ef6ce44dd93fd2115d62b1c803dbdaa4a8

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:16:42.905777Z digest=sha256:1e5195de1a5ab9b70cbdcd691bcbe3a23804c8343aa700a036fd82707fba594d

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=sha256:536e3d1228a6c69cc0b851a0b6d74f9271c0ef6236ce3df7f8f8d70ed949e4c3

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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raw_fallback, observed 2026-08-07T11:16:58.898220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:16:43.080354Z digest=sha256:a2041471509de060b648e1ba9bdcc2dc6ff1c24dadc15da261df11bc33d0f7ca

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:16:43.137147Z digest=sha256:9c18bc13bcea609e0dcb389fc3853b1c5a0383b7cad1aaec6cfd20740615ebf5

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:16:43.225182Z digest=sha256:cb07d98a962e221865092e8a950aa18d33fac4d5530c0773938b0e5f7237cf95

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:16:43.286712Z digest=sha256:7ec2ab727dc588d2c1a24573227283514251be3e58474992c6086b316994b116

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:16:43.392225Z digest=sha256:ac14bfcbd4ac1057380ba2a9ee43298c59a208f293316992eee11e40263972f2

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:16:43.483515Z digest=sha256:4291991d1b7691923dec48c95cc003c79e11dcc36a6fb1d70c290f8fa0362892

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:16:43.570304Z digest=sha256:a14f736c6210352ee3e0685afc252f602638aa4caf39bdb3627c261914cf1d7c

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:16:43.678260Z digest=sha256:9d22699830e11f9014b56b381b4f0b1cc4f6f8bed1a96cf8246e82f84b1a6525

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=sha256:02abfc76464b5ffe16c2f343c21f0f0fe610fc502d8b1e296d4ec5a3f498d68a

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:16:43.825390Z digest=sha256:dcfd4db727ffd7558576a40347080e98fe2b146aeaee40aa09d29f5a18e18dd2

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:16:43.903417Z digest=sha256:4cf825972cc7ea1de39f84dbfa4f30ab95b35f32cb4a5c79f1c9fe89e05a0081

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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source=pdf_text observed=2026-08-07T11:16:43.994161Z digest=sha256:2cc26b216068c04601e143e9aa8b62731ce79c6982c0e572ccf0773db400308d

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:16:44.085066Z digest=sha256:038c20d46f3c03b5df613f57f75df7343f11fb62b170961d85cfac732935ca79

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:16:44.189737Z digest=sha256:8a40ae702889b509c0e7f61c20723c9c465859503fc75f72718b7353677189c5

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:16:44.307327Z digest=sha256:b0c400477409341b912405f94d25f7ed11934e548181becf0737a6a022c9f927

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 2026-08-09T06:31:02.800959+00:00.

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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 2026-08-09T06:31:02.800959+00:00.

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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=sha256:51e91f1282884067a5a6c32df38029b8ddbc6bb6c870f3b1330cde4e2ed3756e

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 2026-08-09T06:31:02.800959+00:00.

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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=sha256:59b11ea348249cc5e2c9c3be1d901c7c6d0066f23ad4fff9ae6ccb5ef27413be

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:16:44.809516Z digest=sha256:7b5c917028c7d5d2ecfb06f5d984e0ee0577bd9fff24721fc0f525bdb9e34ec9

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=sha256:0a5d0769f019c7a148fdfa7fb24d0bf6646e734dd550b6170828c460759564bc

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=sha256:99b7c01ca0e9c58e891d1124e7c28a26bedf8887d2cbaeac72bac3b0e94cab85

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:c2b23ee21dc4c31995da7e5f389e4f50675e91db340d446aacb32ee01e50adc3

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:16:45.280762Z digest=sha256:7169b8b93a83cd032e093170d789e0f33f2cfa8be92e957f3cbf652f992ff8f2

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

Resolution
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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:16:45.419921Z digest=sha256:0cdf80e4e5b55790c4402929d9d032b29637e5d5698211321749738702e84be7

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
unresolved
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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:16:45.542362Z digest=sha256:def5de7d589339aad3146ae2b3d72bd7f9775250cc9e837bba95f487243c4645

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:16:45.670585Z digest=sha256:5a6de8f013b9831003e6473e846addd67203e027569f443e31cd2199e919a0f7

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=sha256:88ce15472724066e18cea72fbeb491174fa9a47b99bc91cc9831c72b5a35db54

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:16:45.919887Z digest=sha256:146a5582acb4d43f5c6aa90d2eef593e1cf16b218859810e2b07932ea9409c99

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=sha256:2d5a0a359cf53c9c02f25798f7ba28d420cdb5cca1362b1d3c2a2fa3d51b7653

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:16:46.088524Z digest=sha256:36fa6bdc8c3c32f77d9cb76144f907e881e49c6f051c3699854aa76b3814bc7b

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:16:46.172607Z digest=sha256:a1a1eb1485d10a268544092dfc276afe1f35c13ac0f205cd155e7a09fdd169ce

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:b53d42999a5eb50c6b019c6dfa2f0a361826f6c01618c80d2b108d99083e591b

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:16:46.347591Z digest=sha256:f7dc829f0b5318d2cdbdd215afcab67c58cc8e40447ac1ad215870468ab41fa5

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:16:46.449297Z digest=sha256:273f233b959883d44d19c9375a39e35dbc6c4c57917e1266d817c54c26812e57

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

Resolution
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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=sha256:89f928d95e8cbf9ed8f45fde899afa3780f064d9e4441211c958dfc1baa8b6d6

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
unresolved
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:a2db8516734dc41c67d3cc47acee9ea23687a5d489abf276e4b88f7626afe9fc

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:16:46.747650Z digest=sha256:a617f2aa4e5e25df0014352300d239786bf81aa38427b8c07aecadceb40353da

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=sha256:849d4ea8e109d90bd23807e35d599445b920f07d79ebd7c29ad2a5605cf8f871

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:16:47.054329Z digest=sha256:e4dd546831a0a4d443bd59651f2a19eac9f73e7be9b22d013f784a4611aea255

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:16:47.135624Z digest=sha256:439e9f1f51f0a440c097216d34c86437a377d95423ef4c51108fba3ee8857a17

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:16:47.238401Z digest=sha256:9c53ebcc94c02d5e76a172c3c283730062eeb108e8054b5a082ddef9a554af5a

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:16:47.330098Z digest=sha256:124b9c5295fd68b846b23da8f07567277f0746d670a4104dbec9cd4625ea61f8

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:16:47.406987Z digest=sha256:78a3d4d01889c62f886c01cd083ead711b7379642c879c5e98c3105aaed438b0

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:ce59867320b04a18b493e37b3ec359f9faa41c6650f20e104fd83e46d08c6f64

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:16:47.580440Z digest=sha256:e4e3a26d4d2d6cc95f5b9d0414d4a693a00494d323cb8d44aeae1b1308521160

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
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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=sha256:99dc79881f0963bdf3a4e047343985010971acf18467e9082f1e64a7be60c7fa

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:c4ff67a39dc05501e507d419b0155de2ccc84269344ac1e50822b2e1e65a8362

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:16:47.914645Z digest=sha256:29008983f6e825c3099c40bdc53bf974df338c62cf9d0c866d549cbf14300450

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:16:48.020993Z digest=sha256:681983842f1e2ce16f5615b6e580f8d03b248113b774abaeb56bdb67e3af49b8

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:fd7a66499305f1dcd3bda1634743da26e98be5a615e19579a56a83dbea270fdc

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:e900a235260da4961ef8b8a0e7f5a472e58bb4d8af5b86a47a859a558e5a4238

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=sha256:153e7eb2c3a4475e931e11d14544deff1c472a48645b164007b5fa32ca4cd6ea

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:16:48.080197Z digest=sha256:0cd546d4efa85f8fb2ab5d776aa592dc56447e999f8a68a385075999fa36bd43

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:a4a4ef39cbc891ce6e6b3d1132b1545aeb46cbbe7383348ad178e565940dc134

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=sha256:190aaca9e0f530bf07b68fb202de1991c8dee01b473be4d0bbf942c71febedab

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:16:48.649396Z digest=sha256:86248478d0ddd475100d238069cadd3efb757946ae2cea767cf6eb930be0e974

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=sha256:624054994dfc58f0755cc0737887a8228a1e74eecb7c98a441173a1eb938868a

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:16:48.803314Z digest=sha256:99d2954b1884e0e40758e8c6cd0779e3aa884dcfb7d3b0e4a5b3b022620af7bc

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 2026-08-09T06:31:02.800959+00:00.

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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 2026-08-09T06:31:02.800959+00:00.

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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 2026-08-09T06:31:02.800959+00:00.

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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 2026-08-09T06:31:02.800959+00:00.

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:16:49.198799Z digest=sha256:57b6ef42a9acfb01a491f820012b3eb580c33ffde4611e6139288ad717939aa2

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
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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 2026-08-09T06:31:02.800959+00:00.

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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
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:16:45.092028Z digest=sha256:df8a087b83facf75a5edce27adacf512cd47c3adf2aa0566792f0a6d5111d377

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:16:47.835823Z digest=sha256:5127d89e0c762ad3ad493e863f312f437094b20fd8ca5d1739bdd1c006b92a59

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 2026-08-09T06:31:02.800959+00:00.

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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 2026-08-09T06:31:02.800959+00:00.

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